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Wehling",{"url":321,"publisher":352,"properties":379},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":353,"slug":10,"properties":354,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":357,"manageAffiliations":358,"indexDatabases":359,"url":99,"thumbnailPath":18,"statistic":374,"gsStatistic":18,"type":140,"analyzePriority":18},[],{"issn":355,"title":356},{"VOID":13},{"EN":15},[],[],[360,367],{"id":61,"indexDatabase":361,"url":74,"indexYears":75,"academicFieldIds":366,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":362,"label":363,"description":364,"key":71,"publicationTags":365,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"id":81,"indexDatabase":368,"url":96,"indexYears":18,"academicFieldIds":373,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":369,"label":370,"description":371,"key":92,"publicationTags":372,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"impactFactor":19,"impactFactorByYear":375,"i10Index":107,"i10IndexLast5Year":108,"totalPublication":109,"totalPublicationByYear":376,"totalCitation":124,"totalCitationByYear":377,"totalCitationPerPublication":132,"totalCitationPerPublicationByYear":378,"hindexLast5Year":139,"hindex":139},{"2019":102,"2020":103,"2021":104,"2022":105,"2023":106},{"2010":111,"2011":112,"2012":113,"2013":114,"2014":115,"2015":116,"2016":117,"2017":118,"2018":119,"2019":119,"2020":120,"2021":121,"2022":119,"2023":122,"2024":123},{"2011":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131},{"2011":134,"2018":135,"2019":136,"2020":137,"2021":138,"2022":105},{"volume":380,"pages":382},{"VOID":381},"12",{"VOID":383},"1117-1117","2021-07-09",2021,{"id":387,"createTime":388,"updateTime":389,"relativeEntities":390,"slug":391,"properties":392,"entityType":158,"verifyStatus":159,"verifyTime":389,"verifyNote":161,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":401,"fullTextUrl":18,"authors":402,"publicationType":275,"publisherRelationship":482,"citationCount":18,"citationInfo":18,"publishDate":515,"publishYear":385,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":311},"6e4bed98-61cb-4b59-8f89-d681c1cea125","2024-02-06T20:41:10.824+00:00","2024-12-25T23:51:40.471+00:00",[],"Developing-a-machine-learning-model-to-identify-delirium-risk-in-geriatric-internal-medicine-inpatients",{"references":393,"abstract":395,"title":397,"doi":399},{"VOID":394},"Inouye SK, Westendorp RGJ, Saczynski JS (2014) Delirium in elderly people. Lancet 383:911–922. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0140-6736(13)60688-1\nAnand A, MacLullich AMJ (2017) Delirium in hospitalized older adults Medicine. N Engl J Med 45:46–50. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.MPMED.2016.10.006\nAhmed S, Leurent B, Sampson EL (2014) Risk factors for incident delirium among older people in acute hospital medical units: a systematic review and meta-analysis. Age Ageing 43:326–333. https:\u002F\u002Fdoi.org\u002F10.1093\u002FAGEING\u002FAFU022\nLiao L, Mark DB (2003) Clinical prediction models: are we building better mousetraps? J Am Coll Cardiol 42:851–853. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0735-1097(03)00836-2\nInouye SK, Zhang Y, Jones RN, Kiely DK, Yang F, Marcantonio ER (2007) Risk factors for delirium at discharge: development and validation of a predictive model. Arch Intern Med 167:1406–1413. https:\u002F\u002Fdoi.org\u002F10.1001\u002FARCHINTE.167.13.1406\nMartinez JA, Belastegui A, Basabe I, Goicoechea X, Aguirre C, Lizeaga N et al (2012) Derivation and validation of a clinical prediction rule for delirium in patients admitted to a medical ward: an observational study. BMJ Open 2:e001599. https:\u002F\u002Fdoi.org\u002F10.1136\u002FBMJOPEN-2012-001599\nIsfandiaty R, Harimurti K, Setiati S, Roosheroe AG (2012) Incidence and predictors for delirium in hospitalized elderly patients: a retrospective cohort study. Acta Medica Indonesiana 44:290–297\nDouglas VC, Hessler CS, Dhaliwal G, Betjemann JP, Fukuda KA, Alameddine LR et al (2013) The AWOL tool: derivation and validation of a delirium prediction rule. J Hosp Med 8:493–499. https:\u002F\u002Fdoi.org\u002F10.1002\u002FJHM.2062\nCarrasco MP, Villarroel L, Andrade M, Calderón J, González M (2014) Development and validation of a delirium predictive score in older people. Age Ageing 43:346–351. https:\u002F\u002Fdoi.org\u002F10.1093\u002FAGEING\u002FAFT141\nHein C, Forgues A, Piau A, Sommet A, Nourhashémi F, Vellas B (2014) Impact of polypharmacy on occurrence of delirium in elderly emergency patients. J Am Med Dir Assoc 15:850.e11-850.e15. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.JAMDA.2014.08.012\nWaljee AK, Higgins PDR (2010) Machine learning in medicine: a primer for physicians. Am J Gastroenterol 105:1224–1226. https:\u002F\u002Fdoi.org\u002F10.1038\u002FAJG.2010.173\nWong A, Young AT, Liang AS, Gonzales R, Douglas VC, Hadley D (2018) Development and validation of an electronic health record-based machine learning model to estimate delirium risk in newly hospitalized patients without known cognitive impairment. JAMA Netw Open 1:e181018–e181018. https:\u002F\u002Fdoi.org\u002F10.1001\u002FJAMANETWORKOPEN.2018.1018\nCorradi JP, Thompson S, Mather JF, Waszynski CM, Dicks RS (2018) Prediction of incident delirium using a random forest classifier. J Med Syst 42:1–10. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS10916-018-1109-0\nOh J, Cho D, Park J, Na SH, Kim J, Heo J et al (2018) Prediction and early detection of delirium in the intensive care unit by using heart rate variability and machine learning. Physiol Meas 39:035004. https:\u002F\u002Fdoi.org\u002F10.1088\u002F1361-6579\u002FAAAB07\nHercus C, Hudaib A-R (2020) Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm. BMC Health Serv Res 20:1–7. https:\u002F\u002Fdoi.org\u002F10.1186\u002FS12913-020-5005-1\nDavoudi A, Ozrazgat-Baslanti T, Ebadi A, Bursian AC, Bihorac A, Rashidi P. Delirium prediction using machine learning models on predictive electronic health records data. In: Proceedings—2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017 2017;2018-January:568–73. https:\u002F\u002Fdoi.org\u002F10.1109\u002FBIBE.2017.00014.\nRacine AM, Tommet D, D’Aquila ML, Fong TG, Gou Y, Tabloski PA et al (2020) Machine learning to develop and internally validate a predictive model for post-operative delirium in a prospective, observational clinical cohort study of older surgical patients. J Gen Intern Med 36:265–73. https:\u002F\u002Fdoi.org\u002F10.1007\u002FS11606-020-06238-7\nNabeel H, Hirsch GM, Abidi SR, Abidi SSR. Exploiting machine learning algorithms and methods for the prediction of agitated delirium after cardiac surgery: models development and validation study. JMIR Med Inform 2019;7(4):E14993https:\u002F\u002FMedinform.Jmir.Org\u002F2019\u002F4\u002FE14993 2019;7:e14993. https:\u002F\u002Fdoi.org\u002F10.2196\u002F14993.\nInouye SK, van Dyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI (1990) Clarifying confusion: the confusion assessment method: a new method for detection of delirium. Ann Intern Med 113:941–948. https:\u002F\u002Fdoi.org\u002F10.7326\u002F0003-4819-113-12-941\nRubenstein LZ, Harker JO, Salvà A, Guigoz Y, Vellas B (2001) Screening for undernutrition in geriatric practicedeveloping the short-form mini-nutritional assessment (MNA-SF). J Gerontol Ser A 56:M366–M372. https:\u002F\u002Fdoi.org\u002F10.1093\u002FGERONA\u002F56.6.M366\nNyunt MSZ, Fones C, Niti M, Ng T-P (2009) Criterion-based validity and reliability of the Geriatric Depression Screening Scale (GDS-15) in a large validation sample of community-living Asian older adults. Aging Mental Health 13:376–82. https:\u002F\u002Fdoi.org\u002F10.1080\u002F13607860902861027\nPfeiffer E (1975) A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients†. J Am Geriatr Soc 23:433–441. https:\u002F\u002Fdoi.org\u002F10.1111\u002FJ.1532-5415.1975.TB00927.X\nF-P M, W-G D, S W (2011) Validation of the polish version of the Athens insomnia scale. Psychiatria Polska 45:211–21\nShah S, Vanclay F, Cooper B (1989) Improving the sensitivity of the Barthel Index for stroke rehabilitation. J Clin Epidemiol 42:703–709. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0895-4356(89)90065-6\nHicks CL, von Baeyer CL, Spafford PA, van Korlaar I, Goodenough B (2001) The Faces Pain Scale—revised: toward a common metric in pediatric pain measurement. Pain 93:173–183. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0304-3959(01)00314-1\nMcSherry D (1999) Strategic induction of decision trees. Knowl Based Syst 12:269–275. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0950-7051(99)00024-6\nQuinlan J (1992) C4.5: programs for machine learning, Morgan Kaufmann, San Mateo, CA\nBreiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and Regression Trees. Wadsworth International Group, Belmont, CA\nWasikowski M, Chen XW (2010) Combating the small sample class imbalance problem using feature selection. IEEE Trans Knowl Data Eng 22:1388–1400. https:\u002F\u002Fdoi.org\u002F10.1109\u002FTKDE.2009.187\nBeap A, Prathi C, Carolina M (2004) A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD Explor Newslett 6:20–9. https:\u002F\u002Fdoi.org\u002F10.1145\u002F1007730.1007735\nChawla NV, Bowyer KW, Hall LO, Kegelmeyer WP (2002) SMOTE: synthetic minority over-sampling technique. J Artif Intell Res 16:321–57. https:\u002F\u002Fdoi.org\u002F10.1613\u002FJAIR.953\nGarcía S, Luengo J, Herrera F (2016) Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowl Based Syst 98:1–29. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.KNOSYS.2015.12.006\nSokolova M, Lapalme G (2009) A systematic analysis of performance measures for classification tasks. Inf Process Manage 45:427–437. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.IPM.2009.03.002\nO’Sullivan R, Inouye SK, Meagher D (2014) Delirium and depression: inter-relationship and clinical overlap in elderly people. Lancet Psychiatry 1:303–311. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS2215-0366(14)70281-0\nViktil KK, Blix HS, Moger TA, Reikvam A (2007) Polypharmacy as commonly defined is an indicator of limited value in the assessment of drug-related problems. Br J Clin Pharmacol 63:187–195. https:\u002F\u002Fdoi.org\u002F10.1111\u002FJ.1365-2125.2006.02744.X\nVreeswijk R, Kalisvaart K, Kalisvaart I (2014) Development and validation of the Delirium Risk Assessment Score (DRAS). J Geriatr Oncol 5:S48–S49. https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.JGO.2014.09.082\nCarrière I, Fourrier-Reglat A, Dartigues J-F, Rouaud O, Pasquier F, Ritchie K et al (2009) Drugs with anticholinergic properties, cognitive decline, and dementia in an elderly general population: the 3-city study. Arch Intern Med 169:1317–1324. https:\u002F\u002Fdoi.org\u002F10.1001\u002FARCHINTERNMED.2009.229\nGlass J, Lanctôt KL, Herrmann N, Sproule BA, Busto UE (2005) Sedative hypnotics in older people with insomnia: meta-analysis of risks and benefits. BMJ 331:1169. https:\u002F\u002Fdoi.org\u002F10.1136\u002FBMJ.38623.768588.47\nStahlmann R, Lode H (2010) Safety considerations of fluoroquinolones in the elderly. Drugs Aging 27:193–209. https:\u002F\u002Fdoi.org\u002F10.2165\u002F11531490-000000000-00000\nOh ES, Fong TG, Hshieh TT, Inouye SK (2017) Delirium in older persons: advances in diagnosis and treatment. JAMA 318:1161–1174. https:\u002F\u002Fdoi.org\u002F10.1001\u002FJAMA.2017.12067\nPeduzzi P, Concato J, Feinstein AR, Holford TR (1995) Importance of events per independent variable in proportional hazards regression analysis II. Accuracy and precision of regression estimates. J Clin Epidemiol 48:1503–10. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0895-4356(95)00048-8\nPeduzzi P, Concato J, Kemper E, Holford TR, Feinstem AR (1996) A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 49:1373–1379. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0895-4356(96)00236-3\nVittinghoff E, McCulloch CE (2007) Relaxing the rule of ten events per variable in logistic and cox regression. Am J Epidemiol 165:710–718. https:\u002F\u002Fdoi.org\u002F10.1093\u002FAJE\u002FKWK052",{"EN":396},"To develop a machine learning model that predicts delirium risk in geriatric internal medicine inpatients. Depression, cognitive impairment, types of drugs, nutritional status, and activity of daily life (ADL) were important predictors of delirium. A machine learning model constructed from the above predictors achieved satisfactory discriminative ability. This machine learning model may allow more precise targeting of delirium prevention. To develop a machine learning model that predicts delirium risk in geriatric internal medicine inpatients. A prospective cohort study of internal medicine wards in a tertiary care hospital in China. Blinded observers assessed delirium using the Confusion Assessment Method (CAM). The data set was randomly divided into a training set (70%) and a test set (30%). The model was trained on the training set using the decision tree and the five-fold cross-validation, and then the model performance was evaluated on the test set. Under-sampling was used to address the class imbalance. The discriminatory power of the model was measured by the area under the receiver operating characteristic curve (AUC) and F1 score. The data set comprised 740 patients from March 2016 to January 2017. The training set included 518 patients; the median (IQR) age was 84 (79–87) years; 364 (70.3%) were men; 71 (13.7%) with delirium. The test set included 222 patients; the median (IQR) age was 84.5 (79–87) years; 163 (73.4%) were men; 30 (13.5%) with delirium. In total, the data set included 740 hospital admissions with a median (IQR) age of 84 (79–87) years, 527 (71.2%) were men, and 101 (13.6%) with delirium. From 32 potential predictors, we included five variables in the predictive model: depression, cognitive impairment, types of drugs, nutritional status, and activity of daily life (ADL). The mean AUC on the training set was 0.967, the AUC and F1 score on the test set was 0.950 and 0.810, respectively. The model achieved 93.3% sensitivity, 94.3% specificity, 71.8% positive predictive value, 98.9% negative predictive value, and 94.1% accuracy on the test set. This machine learning model may allow more precise targeting of delirium prevention and could support clinical decision making in geriatric internal medicine wards.",{"EN":398},"Developing a machine learning model to identify delirium risk in geriatric internal medicine inpatients",{"VOID":400},"10.1007\u002Fs41999-021-00562-9","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs41999-021-00562-9",[403,418,433,445,457],{"id":404,"sortIndex":261,"researcher":18,"roles":405,"affiliations":406,"properties":415},"3c4cbe53-b959-49c8-8762-c478fb92a7a7",[168],[407],{"id":18,"sortIndex":19,"affiliation":408,"properties":18},{"id":409,"createTime":410,"updateTime":410,"relativeEntities":411,"slug":18,"properties":412,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"d27cdb17-49e0-4d67-9a75-884bf165cc2f","2023-12-04T10:28:22.712+00:00",[],{"title":413},{"VI":414},"Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, China",{"title":416},{"VI":417},"Jirong Yue",{"id":419,"sortIndex":230,"researcher":18,"roles":420,"affiliations":421,"properties":430},"b5a85a53-6f77-4a3a-b13f-42710194fcbd",[168],[422],{"id":18,"sortIndex":19,"affiliation":423,"properties":18},{"id":424,"createTime":425,"updateTime":425,"relativeEntities":426,"slug":18,"properties":427,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"90c255e9-3ebb-4f10-b636-19e3a4752feb","2024-02-06T20:41:11.067+00:00",[],{"title":428},{"VI":429},"School of Mechanical Engineering, Sichuan University, Chengdu, China",{"title":431},{"VI":432},"Yan Xiong",{"id":434,"sortIndex":126,"researcher":18,"roles":435,"affiliations":436,"properties":442},"042a1c61-335c-446d-9d18-129068e4ddf7",[168],[437],{"id":18,"sortIndex":19,"affiliation":438,"properties":18},{"id":409,"createTime":410,"updateTime":410,"relativeEntities":439,"slug":18,"properties":440,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":441},{"VI":414},{"title":443},{"VI":444},"Yanli Zhao",{"id":446,"sortIndex":19,"researcher":18,"roles":447,"affiliations":448,"properties":454},"51aeb43f-740d-44df-ab89-f91474b3753a",[168],[449],{"id":18,"sortIndex":19,"affiliation":450,"properties":18},{"id":424,"createTime":425,"updateTime":425,"relativeEntities":451,"slug":18,"properties":452,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":453},{"VI":429},{"title":455},{"VI":456},"Qinzheng Li",{"id":458,"sortIndex":166,"researcher":18,"roles":459,"affiliations":460,"properties":479},"0e2286c6-9946-4aaf-9918-4f2e317d825b",[168],[461,471],{"id":462,"sortIndex":126,"affiliation":463,"properties":470},"c1af7c71-1985-4d5b-b27f-8315fd3c2fcd",{"id":464,"createTime":465,"updateTime":465,"relativeEntities":466,"slug":18,"properties":467,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"9db16d34-1f1f-4482-9b08-951270a915df","2023-12-25T07:41:46.257+00:00",[],{"title":468},{"VI":469},"Medical Big Data Center, Sichuan University, Chengdu, China",{},{"id":18,"sortIndex":19,"affiliation":472,"properties":18},{"id":473,"createTime":474,"updateTime":474,"relativeEntities":475,"slug":18,"properties":476,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"15717b5e-21da-498d-873c-ea8cdf91d6c2","2024-01-12T03:26:21.756+00:00",[],{"title":477},{"VI":478},"Department of Applied Mechanics, Sichuan University, Chengdu, China",{"title":480},{"VI":481},"Yu Chen",{"url":401,"publisher":483,"properties":510},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":484,"slug":10,"properties":485,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":488,"manageAffiliations":489,"indexDatabases":490,"url":99,"thumbnailPath":18,"statistic":505,"gsStatistic":18,"type":140,"analyzePriority":18},[],{"issn":486,"title":487},{"VOID":13},{"EN":15},[],[],[491,498],{"id":61,"indexDatabase":492,"url":74,"indexYears":75,"academicFieldIds":497,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":493,"label":494,"description":495,"key":71,"publicationTags":496,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"id":81,"indexDatabase":499,"url":96,"indexYears":18,"academicFieldIds":504,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":500,"label":501,"description":502,"key":92,"publicationTags":503,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"impactFactor":19,"impactFactorByYear":506,"i10Index":107,"i10IndexLast5Year":108,"totalPublication":109,"totalPublicationByYear":507,"totalCitation":124,"totalCitationByYear":508,"totalCitationPerPublication":132,"totalCitationPerPublicationByYear":509,"hindexLast5Year":139,"hindex":139},{"2019":102,"2020":103,"2021":104,"2022":105,"2023":106},{"2010":111,"2011":112,"2012":113,"2013":114,"2014":115,"2015":116,"2016":117,"2017":118,"2018":119,"2019":119,"2020":120,"2021":121,"2022":119,"2023":122,"2024":123},{"2011":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131},{"2011":134,"2018":135,"2019":136,"2020":137,"2021":138,"2022":105},{"volume":511,"pages":513},{"VOID":512},"13",{"VOID":514},"173-183","2021-09-23",{"id":517,"createTime":518,"updateTime":519,"relativeEntities":520,"slug":521,"properties":522,"entityType":158,"verifyStatus":159,"verifyTime":519,"verifyNote":161,"syncStatus":17,"languages":531,"translateLanguages":18,"viewCount":19,"primaryUrl":533,"fullTextUrl":18,"authors":534,"publicationType":275,"publisherRelationship":576,"citationCount":18,"citationInfo":18,"publishDate":604,"publishYear":605,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":606,"isForceReanalyzing":311},"ac711333-3b54-49bc-a37e-72aedb532d4f","2024-04-10T02:01:26.172+00:00","2025-01-19T23:50:49.131+00:00",[],"The-impact-of-an-ageing-population-on-the-required-hospital-capacity-results-from-forecast-analysis-on-administrative-data",{"keywords":523,"abstract":525,"title":527,"doi":529},{"EN":524},"",{"EN":526},"Evaluate the impact of population ageing on the required hospital capacity. As the general population is ageing, the hospital population is also ageing. Additional capacity needs can initially be counterbalanced by reductions in length of stay. Population ageing starts to peak from 2030 with additional hospital capacity needs: inpatient days (+ 21.9%) and hospital beds (+ 21.1%). Investments in hospital alternatives as well as in geriatric expertise within hospitals are required to deal with the ageing population. In this study, we evaluate the impact of population ageing on the required hospital capacity. We used hospital discharge (years 2003–2014) and population data to estimate the required hospital capacity by 2025 for older inpatients (≥ 75 years) taking into account population changes and trends in hospital admission rates and length of stay. In addition, we developed an alternative scenario to evaluate the impact of accelerated ageing based on the peaks in population ageing from 2030 onwards. The number of inpatient stays for our study population is expected to increase from 478,027 in 2014 to 590,313 in 2025 (+ 23.5%). The average length of stay is expected to decrease by 18.4% (− 2.3 days). As a consequence, the number of inpatient days and the required bed capacity will only increase by 42,709 days (+ 0.7%) and 72 beds (+ 0.4%), respectively. The accelerated ageing scenario shows that the increase between 2014 and 2025 is more pronounced for inpatient stays (+ 50.5%), inpatient days (+ 21.9%) and hospital beds (+ 21.1%). Ageing will, if no drastic policy actions are taken, impact the required hospital capacity. This can initially (by 2025) be more or less controlled by further reductions in length of stay. From 2030, it is expected that the required hospital bed capacity will increase exponentially with a pronounced shift between general acute care beds towards geriatric and chronic care beds. If policy makers want to revert this trend, substantial investments in hospital alternatives will be required.",{"EN":528},"The impact of an ageing population on the required hospital capacity: results from forecast analysis on administrative data",{"VOID":530},"10.1007\u002Fs41999-019-00219-8",[532],"EN","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs41999-019-00219-8",[535,552,564],{"id":536,"sortIndex":19,"researcher":18,"roles":537,"affiliations":538,"properties":547},"c3d46755-3a5a-411b-96ac-c3a171145e8e",[],[539],{"id":18,"sortIndex":19,"affiliation":540,"properties":18},{"id":541,"createTime":542,"updateTime":542,"relativeEntities":543,"slug":18,"properties":544,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"e8872673-57d4-4053-b583-13acd8724fbd","2024-01-11T05:48:45.098+00:00",[],{"title":545},{"VI":546},"Belgian Health Care Knowledge Centre (KCE), Brussels, Belgium",{"title":548,"email":550},{"EN":549},"Koen Van den Heede",{"VOID":551},"Koen.vandenheede@kce.fgov.be",{"id":553,"sortIndex":166,"researcher":18,"roles":554,"affiliations":555,"properties":561},"0f808814-8f39-4d4e-bb40-1b0b1f9bff10",[],[556],{"id":18,"sortIndex":19,"affiliation":557,"properties":18},{"id":541,"createTime":542,"updateTime":542,"relativeEntities":558,"slug":18,"properties":559,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":560},{"VI":546},{"title":562},{"EN":563},"Carine Van de Voorde",{"id":565,"sortIndex":126,"researcher":18,"roles":566,"affiliations":567,"properties":573},"5c440cd1-798c-43e8-966c-a70ba3660d5a",[],[568],{"id":18,"sortIndex":19,"affiliation":569,"properties":18},{"id":541,"createTime":542,"updateTime":542,"relativeEntities":570,"slug":18,"properties":571,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":572},{"VI":546},{"title":574},{"EN":575},"Nicolas Bouckaert",{"url":18,"publisher":577,"properties":18},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":578,"slug":10,"properties":579,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":582,"manageAffiliations":583,"indexDatabases":584,"url":99,"thumbnailPath":18,"statistic":599,"gsStatistic":18,"type":140,"analyzePriority":18},[],{"issn":580,"title":581},{"VOID":13},{"EN":15},[],[],[585,592],{"id":61,"indexDatabase":586,"url":74,"indexYears":75,"academicFieldIds":591,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":587,"label":588,"description":589,"key":71,"publicationTags":590,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"id":81,"indexDatabase":593,"url":96,"indexYears":18,"academicFieldIds":598,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":594,"label":595,"description":596,"key":92,"publicationTags":597,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"impactFactor":19,"impactFactorByYear":600,"i10Index":107,"i10IndexLast5Year":108,"totalPublication":109,"totalPublicationByYear":601,"totalCitation":124,"totalCitationByYear":602,"totalCitationPerPublication":132,"totalCitationPerPublicationByYear":603,"hindexLast5Year":139,"hindex":139},{"2019":102,"2020":103,"2021":104,"2022":105,"2023":106},{"2010":111,"2011":112,"2012":113,"2013":114,"2014":115,"2015":116,"2016":117,"2017":118,"2018":119,"2019":119,"2020":120,"2021":121,"2022":119,"2023":122,"2024":123},{"2011":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131},{"2011":134,"2018":135,"2019":136,"2020":137,"2021":138,"2022":105},"2019-07-22",2019,[607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675],{"id":18,"text":608,"url":18,"identifiers":18},"United Nations (2017) Ageing. http:\u002F\u002Fwww.un.org\u002Fen\u002Fsections\u002Fissues-depth\u002Fageing\u002F",{"id":18,"text":610,"url":18,"identifiers":18},"WHO (2015) World report on ageing and health. 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BMJ 316:1310–1313",{"id":678,"createTime":679,"updateTime":680,"relativeEntities":681,"slug":682,"properties":683,"entityType":158,"verifyStatus":159,"verifyTime":680,"verifyNote":161,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":690,"fullTextUrl":18,"authors":691,"publicationType":275,"publisherRelationship":722,"citationCount":18,"citationInfo":18,"publishDate":755,"publishYear":756,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":311},"cc05b3cb-cdda-4f99-b114-c4240d41c941","2024-01-03T04:47:34.509+00:00","2025-02-19T23:47:08.167+00:00",[],"Gerotechnology-series-Toileting-aids",{"references":684,"title":686,"doi":688},{"VOID":685},"Jagger, 2001, Patterns of onset of disability in activities of daily living with age, J Am Geriatr Soc, 49, 404, 10.1046\u002Fj.1532-5415.2001.49083.x\nClarke, 1984, The elderly at home: health and social status, Health Trends, 16, 3\nParker, 1990, The use of technical aids among community-based elderly, Am J Occup Ther, 45, 712, 10.5014\u002Fajot.45.8.712\nPenn, 1988, Everyday aids and appliances: toilet aids, Br Med J, 296, 918, 10.1136\u002Fbmj.296.6626.918\nGeorge, 1988, Aids and adaptations for the elderly at home: underprovided, underused, and undermaintained, Br Med J, 296, 1365, 10.1136\u002Fbmj.296.6633.1365\nClemson, 1996, Usage and effectiveness of rails, bathing and toileting aids, Occup Ther Health Care, 10, 41, 10.1300\u002FJ003v10n01_04\nFinlayson, 1992, Can J Occup Ther, 59, 201, 10.1177\u002F000841749205900405\nDisabled Living Foundation, London. Choosing toilet equipment and accessories. DLF factsheet 2006.",{"EN":687},"Gerotechnology series: Toileting aids",{"VOID":689},"10.1016\u002Fj.eurger.2011.01.017","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS187876491100026X",[692,707],{"id":693,"sortIndex":126,"researcher":18,"roles":694,"affiliations":695,"properties":704},"0cb4609c-ed38-4b91-a5ea-841014d59f96",[168],[696],{"id":18,"sortIndex":19,"affiliation":697,"properties":18},{"id":698,"createTime":699,"updateTime":699,"relativeEntities":700,"slug":18,"properties":701,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"f1b6fecd-422d-4076-92f1-88445cc0ac8a","2024-01-03T04:47:34.533+00:00",[],{"title":702},{"VI":703},"Department of Clinical Therapies, York District Hospital, York, YO31 8HE, UK",{"title":705},{"VI":706},"S. 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Harman",{"url":690,"publisher":723,"properties":750},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":724,"slug":10,"properties":725,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":728,"manageAffiliations":729,"indexDatabases":730,"url":99,"thumbnailPath":18,"statistic":745,"gsStatistic":18,"type":140,"analyzePriority":18},[],{"issn":726,"title":727},{"VOID":13},{"EN":15},[],[],[731,738],{"id":61,"indexDatabase":732,"url":74,"indexYears":75,"academicFieldIds":737,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":733,"label":734,"description":735,"key":71,"publicationTags":736,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"id":81,"indexDatabase":739,"url":96,"indexYears":18,"academicFieldIds":744,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":740,"label":741,"description":742,"key":92,"publicationTags":743,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"impactFactor":19,"impactFactorByYear":746,"i10Index":107,"i10IndexLast5Year":108,"totalPublication":109,"totalPublicationByYear":747,"totalCitation":124,"totalCitationByYear":748,"totalCitationPerPublication":132,"totalCitationPerPublicationByYear":749,"hindexLast5Year":139,"hindex":139},{"2019":102,"2020":103,"2021":104,"2022":105,"2023":106},{"2010":111,"2011":112,"2012":113,"2013":114,"2014":115,"2015":116,"2016":117,"2017":118,"2018":119,"2019":119,"2020":120,"2021":121,"2022":119,"2023":122,"2024":123},{"2011":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131},{"2011":134,"2018":135,"2019":136,"2020":137,"2021":138,"2022":105},{"volume":751,"pages":753},{"VOID":752},"2",{"VOID":754},"314-318","2011-10-01",2011,{"id":758,"createTime":759,"updateTime":760,"relativeEntities":761,"slug":762,"properties":763,"entityType":158,"verifyStatus":159,"verifyTime":760,"verifyNote":161,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":772,"fullTextUrl":18,"authors":773,"publicationType":275,"publisherRelationship":852,"citationCount":18,"citationInfo":18,"publishDate":885,"publishYear":886,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":311},"484b64bc-df0f-4d4c-b541-375fffa658cf","2024-02-15T04:42:27.292+00:00","2025-02-26T23:47:04.169+00:00",[],"A-population-based-study-of-2347-fall-related-injuries-among-older-people-in-a-Finnish-emergency-department",{"references":764,"abstract":766,"title":768,"doi":770},{"VOID":765},"Pohl P, Nordin E, Lundquist A, Bergström U, Lundin-Olsson L (2014) Community-dwelling older people with an injurious fall are likely to sustain new injurious falls within 5 years—a prospective long-term follow-up study. 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JAMA 303:258–266. https:\u002F\u002Fdoi.org\u002F10.1001\u002Fjama.2009.2024\nSylliaas H, Idland G, Sandvik L, Forsen L, Bergland A (2009) Does mortality of the aged increase with the number of falls? Results from a nine-year follow-up study. Eur J Epidemiol 24:351–355. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10654-009-9348-5\nNICE Clin Guidel (2013) Falls in older people : assessing risk and prevention. https:\u002F\u002Fwww.nice.org.uk\u002Fguidance\u002Fcg161\u002Fresources\u002Ffalls-in-older-people-assessing-risk-and-prevention-35109686728645. Accessed 25 Dec 2019\nPerell KL, Nelson A, Goldmn RL, Luther SL, Prieto-Lewis N (2001) Fall risk assessment measures: an analytic review. J Gerontol Ser A Biol Sci Med Sci 56(12):M761–M766\nCameron I, Gillespie L, Robertson M et al (2018) Interventions for preventing falls in older people in care facilities and hospitals (Review). Cochrane database Syst Rev. https:\u002F\u002Fdoi.org\u002F10.1002\u002F14651858.CD005465.pub3\nOfficial Statistics of Finland: population structure [e-publication). ISSN=1797-5379. Helsinki: Statistics Finlan. https:\u002F\u002Fwww.stat.fi\u002Ftil\u002Fvaerak\u002Findex.html. Accessed 25 Dec 2019\nHøidrup S, Sørensen T, Grønbaek M, Schroll M (2003) Incidence and characteristics of falls leading to hospital treatment: a one-year population surveillance study of the Danish population aged 45 years and over. Scand J Public Health 31:24–30\nJohansen A, Dickens J, Jones M, Richmond P, Evans R (2011) Emergency department presentation following falls: development of a routine falls surveillance system. Emerg Med J 28:25–28. https:\u002F\u002Fdoi.org\u002F10.1136\u002Femj.2009.086330\nBurton E, Lewin G, O’Connell H, Hill K (2018) Falls prevention in community care: 10 years on. Clin Interv Aging 13:261–269. https:\u002F\u002Fdoi.org\u002F10.2147\u002FCIA.S153687\nSri-On J, Tirrell GP, Bean JF, Lipsitz LA, Liu SW (2017) Revisit, subsequent hospitalization, recurrent fall, and death within 6 months after a fall among elderly emergency department patients. Ann Emerg Med 70(4):516–521.e2. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.annemergmed.2017.05.023 (Epub 2017 Jul 5)\nSiegrist M, Freiberger E, Geilhof B et al (2016) Fall prevention in a primary care setting. Dtsch Arztebl Int 113:365–372. https:\u002F\u002Fdoi.org\u002F10.3238\u002Farztebl.2016.0365\nLillevang-Johannsen M, Grand J, Lembeck M et al (2017) Falls in elderly patients are not treated according to national recommendations. Dan Med J 64:1–5\nSalonoja M, Sjösten N, Salminen M, Aarnio P, Kivelä S-L (2010) Inadequate secondary prevention of falls in the aged. Finnish Med J 65:2931–2937\nDonaldson MG, Khan KM, Davis JC et al (2005) Emergency department fall-related presentations do not trigger fall risk assessment: a gap in care of high-risk outpatient fallers. Arch Gerontol Geriatr 41:311–317. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.archger.2005.04.008",{"EN":767},"The main objective in this population-based study was to analyze the incidence of fall-related emergency\ndepartment visits and recurrent falls among older people in a Finnish community. Thirteen percent of all ED visits of patients aged 80 years and over are fall-related. One in four of\nthose discharged home had a new fall-related injury. As the risk of subsequent fall-related injuries was high during the first month after the fall, we\nemphasize the need to intervene with the fall risk promptly. Fall-related injuries are a significant cause of morbidity, mortality and functional decline among older people. The aim of this study is to analyze the incidence of fall-related emergency department (ED) visits and compare the characteristics of single and recurrent fallers in a population-based sample. Consecutive patients aged ≥ 80 years and living in the Tampere city region who visited collaborative emergency department within a two-year study period (1 January 2015 to 31 December 2016) due to fall-related injury were included. The incidence of fall-related injuries and recurrent falls was calculated using population statistics. A total of 6915 ≥ 80-year-old patients visited our ED 17,769 times during the study period. Thirteen percent of these visits (n = 2347, median 87 years, 80–103 years; 74% female) were fall-related. The incidence of fall-related ED visits increased from 94\u002F1000 person-years to 171\u002F1000 among those aged 80–89 years and ≥ 90 years, respectively. Twenty-four percent of patients had recurrent falls (range 2–5) during the observational period. Twenty-five percent of those discharged home had a subsequent fall-related injury within one month after the index visit. The distribution of diagnoses was similar among those with single and recurrent falls. Fall-related injuries are a significant health issue. Almost one in eight of all ED visits were fall-related, and 24% of patients had recurrent fall-related injuries. The risk of subsequent injury was high during the first month after the first injury, emphasizing the need to intervene with the fall risk promptly.",{"EN":769},"A population-based study of 2347 fall-related injuries among older people in a Finnish emergency department",{"VOID":771},"10.1007\u002Fs41999-020-00288-0","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs41999-020-00288-0",[774,801,825,837],{"id":775,"sortIndex":126,"researcher":18,"roles":776,"affiliations":777,"properties":798},"83a11bdb-af9c-486b-a43e-098f362c4973",[168],[778,788],{"id":18,"sortIndex":19,"affiliation":779,"properties":18},{"id":780,"createTime":781,"updateTime":782,"relativeEntities":783,"slug":784,"properties":785,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"18a48ed1-14bd-4300-8597-f5246b11250f","2023-12-08T20:02:33.116+00:00","2024-10-09T03:45:34.316+00:00",[],"Faculty-of-Medicine-and-Health-Technology-Tampere-University-Tampere-Finland",{"title":786},{"VI":787},"Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland",{"id":789,"sortIndex":126,"affiliation":790,"properties":797},"fdcbe38a-c30e-463f-befb-b0050e87cae8",{"id":791,"createTime":792,"updateTime":792,"relativeEntities":793,"slug":18,"properties":794,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"92d6358b-cff1-434a-aa7a-0313b512e3f2","2024-02-15T04:42:27.349+00:00",[],{"title":795},{"VI":796},"Centre of Geriatrics, Tampere University Hospital, Tampere, Finland",{},{"title":799},{"VI":800},"Esa R. 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2010, Sarcopenia: European consensus on definition and diagnosis, Age Ageing, 39, 412, 10.1093\u002Fageing\u002Fafq034\nBeaudart, 2015, Prevalence of sarcopenia: the impact of different diagnostic cut-off limits, Exp Gerontol, 61, 31, 10.1016\u002Fj.exger.2014.11.014\nCooper, 2013, Tools in the assessment of sarcopenia, Calcif Tissue Int, 93, 201, 10.1007\u002Fs00223-013-9757-z\nBeaudart, 2015, Estimation of sarcopenia prevalence using various assessment tools, Exp Gerontol, 61, 31, 10.1016\u002Fj.exger.2014.11.014\nKaji, 2014, Interaction between muscle and bone, J Bone Metab, 21, 29, 10.11005\u002Fjbm.2014.21.1.29\nKawao, 2014, Interactions between muscle tissues and bone metabolism, J Cell Biochem, 695\nElkasrawy, 2010, Myostatin (GDF-8) as a key factor linking muscle mass and bone structure, J Musculoskelet Neuronal Interact, 10, 56\nBerry, 2013, Procollagen type III N-terminal peptide (P3NP) and lean mass: a cross-sectional study, J Frailty Aging, 2, 129\nLach-Trifilieff, 2014, An antibody blocking activin type ii receptors induces strong skeletal muscle hypertrophy and protects from atrophy, Mol Cell Biol, 34, 606, 10.1128\u002FMCB.01307-13\nWilliams, 2004, Myostatin mutation associated with gross muscle hypertrophy in a child, N Engl J Med, 351, 1031030\nLee, 2010, Regulation of muscle mass by follistatin and activins, Mol Endocrinol, 24, 1998, 10.1210\u002Fme.2010-0127\nSanchis-Gomar, 2014, Inconsistency in circulating irisin levels: what is really happening?, Horm Metab Res, 46, 591, 10.1055\u002Fs-0033-1363283\nHecksteden, 2013, Irisin and exercise training in humans – results from a randomized controlled training trial, BMC Med, 11, 235, 10.1186\u002F1741-7015-11-235\nStengel, 2013, Circulating levels of irisin in patients with anorexia nervosa and different stages of obesity-Correlation with body mass index, Peptides, 39, 125, 10.1016\u002Fj.peptides.2012.11.014",{"EN":897},"Critical analytical evaluation of promising markers for sarcopenia",{"VOID":899},"10.1016\u002Fj.eurger.2015.11.002","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1878764915002089",[902,919,941,953,968],{"id":903,"sortIndex":261,"researcher":18,"roles":904,"affiliations":905,"properties":916},"46a3602f-4a13-423d-9f12-4bfbd99238d0",[168],[906],{"id":18,"sortIndex":19,"affiliation":907,"properties":18},{"id":908,"createTime":909,"updateTime":910,"relativeEntities":911,"slug":912,"properties":913,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"3fa4a9af-788b-43c8-88d3-df175ca57191","2024-01-11T00:37:55.683+00:00","2024-12-25T09:51:12.229+00:00",[],"Department-of-Public-Health-Epidemiology-and-Health-Economics-University-of-Li%C3%A8ge-Li%C3%A8ge-Belgium",{"title":914},{"VI":915},"Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium",{"title":917},{"VI":918},"O. 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Reginster",{"id":942,"sortIndex":166,"researcher":18,"roles":943,"affiliations":944,"properties":950},"6dd1d805-4a59-4608-90f8-970ededd3b88",[168],[945],{"id":18,"sortIndex":19,"affiliation":946,"properties":18},{"id":908,"createTime":909,"updateTime":910,"relativeEntities":947,"slug":912,"properties":948,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":949},{"VI":915},{"title":951},{"VI":952},"F. 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Old age and growing old. U: Davidovic M, and associates: Geriatry. Faculty of medicine, University of Belgrade, NT Club 1998; p. 3–22.\nCucic V. Health care of the elderly. U: Cucic V, Simic S, Bjegovic V, and associates: Social medicine, Savremena administracija, Beograd, 2000; p. 145–53.\nDragasevic N. Walking disorders and falls in old age. U: Davidovic M, Milosevic P.D, Kostic V, and associates: Contemporary geriatry, author's independent issue, Belgrade, 2003; p. 147–90.\nMilanovic P, Milosevic P.D, Davidovic M. Falls in old age. U: Davidovic M, and associates: Medicine gerontology, Faculty of medicine, University of Belgrade, author's issue, 2007; p. 81–90.\nGrønskag, 2010, Incidence and seasonal variation in hip fracture incidence among elderly women in Norway. The HUNT Study, Bone, 46, 1294, 10.1016\u002Fj.bone.2009.11.024\nHagedorn, 2010, Compliance and satisfaction with a comprehensive falls intervention programme, Eur Geriatr Med, 1, 348, 10.1016\u002Fj.eurger.2010.09.007\nAlvarez-Nebreda, 2008, Epidemiology of hip fracture in the elderly in Spain, Bone, 42, 278, 10.1016\u002Fj.bone.2007.10.001\nLonnroos, 2010, Hip fracture management and outcomes in Finland, Eur Geriatr Med, 1, 101, 10.1016\u002Fj.eurger.2010.03.010\nPioli, 2010, Hip fracture management and outcomes in Italy, Eur Geriatr Med, 1, 104, 10.1016\u002Fj.eurger.2010.03.011\nWorld Health Organization; www.who.int. http:\u002F\u002Fapps.who.int\u002Fclassifications\u002Fapps\u002Ficd\u002Ficd10online\u002F.\nAlvarez-Nebreda, 2010, Hip fracture management and outcomes in Spain, Eur Geriatr Med, 1, 108, 10.1016\u002Fj.eurger.2010.03.012\nWittich, 2010, Epidemiology of hip fracture in Tucuman, Argentina, Osteoporos Int, 21, 1803, 10.1007\u002Fs00198-009-1135-3\nLuo, 2009, Treatments of geriatric femoral intertrochanteric fractures, Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi, 23, 1209\nSund, 2009, Modeling the length of the care episode after hip fracture: does the type of fracture matter?, Scand J Surg, 98, 169, 10.1177\u002F145749690909800308\nMuñoz-Mahamud, 2009, Results of treatment of subtrochanteric femoral fractures with the AO\u002FASIF long trochanteric fixation nail (LTFN), Acta Chir Orthop Traumatol Cech, 76, 451\nAdie, 2009, Non-emergency management of hip fractures in older patients, J Orthop Surg (Hong Kong), 17, 301, 10.1177\u002F230949900901700311\nRodop, 2009, The increasing incidence of interthrocanteric fractures synchronous with older age, Eklem Hastalik Cerrahisi, 20, 131\nOlofsson, 2009, Mental status and surgical methods in patients with femoral neck fracture, Orthop Nurs, 28, 305, 10.1097\u002FNOR.0b013e3181c015c5\nWoratanarat, 2009, A comparative study of risk factors of femoral neck and intertrochanteric fracture in Thai men, J Med Assoc Thai, 92, S165\nVerhaar, 2009, Medical treatment of osteoporosis in the elderly, Aging Clin Exp Res, 21, 407, 10.1007\u002FBF03327451\nPereira, 2010, The impact of prefracture and hip fracture characteristics on mortality in older persons in Brazil, Clin Orthop Relat Res, 468, 1869, 10.1007\u002Fs11999-009-1147-5\nAli, 2009, External fixation of intertrochanteric fractures in elderly high-risk patients, Acta Orthop Belg, 75, 748\nKannegaard, 2010, Excess mortality in men compared with women following a hip fracture. National analysis of comedications, comorbidity and survival, Age Ageing, 39, 203, 10.1093\u002Fageing\u002Fafp221\nChotanaphuti, 2009, The mortality rate after thromboembolism prophylaxis in the hip fracture surgery, J Med Assoc Thai, 92, S115",{"EN":1025},"Socio-medical aspects of hip fracture among elderly population in Belgrade, Serbia",{"VOID":1027},"10.1016\u002Fj.eurger.2011.11.001","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1878764911002427",[1030,1046,1061,1076],{"id":1031,"sortIndex":166,"researcher":18,"roles":1032,"affiliations":1033,"properties":1043},"4b3fb57c-420e-4be6-b1af-d7465598f883",[168],[1034],{"id":18,"sortIndex":19,"affiliation":1035,"properties":18},{"id":1036,"createTime":1037,"updateTime":1037,"relativeEntities":1038,"slug":1039,"properties":1040,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"f715d910-a45f-420b-99b9-bf29de818db6","2024-04-15T21:22:35.238+00:00",[],"Institute-of-Social-Medicine-Faculty-of-Medicine-University-of-Belgrade-Belgrade-Serbia",{"title":1041},{"EN":1042},"Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia",{"title":1044},{"VI":1045},"D. Vukovic",{"id":1047,"sortIndex":126,"researcher":18,"roles":1048,"affiliations":1049,"properties":1058},"3efd27bf-d3ce-4307-baa4-72b76b082f9e",[168],[1050],{"id":18,"sortIndex":19,"affiliation":1051,"properties":18},{"id":1052,"createTime":1053,"updateTime":1053,"relativeEntities":1054,"slug":18,"properties":1055,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"264a3e8a-450f-492f-9195-ab2757e0ff93","2024-01-13T19:04:21.671+00:00",[],{"title":1056},{"VI":1057},"Chair of Gerontology, School of Medicine, University of Belgrade, Belgrade, Serbia",{"title":1059},{"VI":1060},"M. Davidovic",{"id":1062,"sortIndex":19,"researcher":18,"roles":1063,"affiliations":1064,"properties":1073},"c0df0d99-c596-4745-9541-97dd3576f819",[168],[1065],{"id":18,"sortIndex":19,"affiliation":1066,"properties":18},{"id":1067,"createTime":1068,"updateTime":1068,"relativeEntities":1069,"slug":18,"properties":1070,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"45f247dd-98ac-4d1f-be42-a050d879ebd9","2023-12-29T16:41:26.566+00:00",[],{"title":1071},{"VI":1072},"Institute of Rheumatology, Belgrade, Serbia",{"title":1074},{"VI":1075},"J. Lopicic",{"id":1077,"sortIndex":261,"researcher":18,"roles":1078,"affiliations":1079,"properties":1088},"351027bb-0feb-49a7-b446-e5885cb129e5",[168],[1080],{"id":18,"sortIndex":19,"affiliation":1081,"properties":18},{"id":1082,"createTime":1083,"updateTime":1083,"relativeEntities":1084,"slug":18,"properties":1085,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"8c9059ff-fc28-451e-9b8e-7e95242d273f","2024-01-13T19:04:21.692+00:00",[],{"title":1086},{"VI":1087},"Institute for Orthopaedic surgery and Traumatology, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia",{"title":1089},{"VI":1090},"G. Tulic",{"url":1028,"publisher":1092,"properties":1119},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1093,"slug":10,"properties":1094,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1097,"manageAffiliations":1098,"indexDatabases":1099,"url":99,"thumbnailPath":18,"statistic":1114,"gsStatistic":18,"type":140,"analyzePriority":18},[],{"issn":1095,"title":1096},{"VOID":13},{"EN":15},[],[],[1100,1107],{"id":61,"indexDatabase":1101,"url":74,"indexYears":75,"academicFieldIds":1106,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":1102,"label":1103,"description":1104,"key":71,"publicationTags":1105,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"id":81,"indexDatabase":1108,"url":96,"indexYears":18,"academicFieldIds":1113,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":1109,"label":1110,"description":1111,"key":92,"publicationTags":1112,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"impactFactor":19,"impactFactorByYear":1115,"i10Index":107,"i10IndexLast5Year":108,"totalPublication":109,"totalPublicationByYear":1116,"totalCitation":124,"totalCitationByYear":1117,"totalCitationPerPublication":132,"totalCitationPerPublicationByYear":1118,"hindexLast5Year":139,"hindex":139},{"2019":102,"2020":103,"2021":104,"2022":105,"2023":106},{"2010":111,"2011":112,"2012":113,"2013":114,"2014":115,"2015":116,"2016":117,"2017":118,"2018":119,"2019":119,"2020":120,"2021":121,"2022":119,"2023":122,"2024":123},{"2011":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131},{"2011":134,"2018":135,"2019":136,"2020":137,"2021":138,"2022":105},{"volume":1120,"pages":1122},{"VOID":1121},"3",{"VOID":1123},"14-17","2012-02-01",2012,{"id":1127,"createTime":1128,"updateTime":1129,"relativeEntities":1130,"slug":1131,"properties":1132,"entityType":158,"verifyStatus":159,"verifyTime":1141,"verifyNote":161,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1142,"fullTextUrl":18,"authors":1143,"publicationType":275,"publisherRelationship":1313,"citationCount":18,"citationInfo":18,"publishDate":1345,"publishYear":385,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":311},"1f248c12-f97c-49dc-a2b5-04268dbf52a7","2024-01-14T05:20:11.822+00:00","2025-01-26T23:42:21.169+00:00",[],"Association-between-serum-interleukin-6-and-frailty-in-older-men-cross-sectional-data",{"references":1133,"abstract":1135,"title":1137,"doi":1139},{"VOID":1134},"Chen X, Mao G, Leng SX (2014) Frailty syndrome: an overview. Clin Interv Aging 9:433–441\nIqbal J, Denvir M, Gunn J, Clegg A, Young J, Iliffe S et al (2013) Frailty in elderly people. Lancet 381(9868):752–762\nMilte R, Crotty M (2014) Musculoskeletal health, frailty and functional decline. Best Pract Res Clin Rheumatol 28(3):395–410\nFedarko NS (2011) The biology of aging and frailty. Clin Geriatr Med 27:27–37\nYao X, Li H, Leng SX (2011) Inflammation and immune system alterations in frailty. Clin Geriatr Med 27(1):79–87\nFried L, Tangen C, Walston J, Newman A, Hirsch C, Gottdiener J et al (2001) Frailty in older adults: evidence for a phenotype. J Gerontol Ser A 56(3):M146–M156\nBaylis D, Bartlett DB, Syddall HE, Ntani G, Gale CR, Cooper C et al (2013) Immune-endocrine biomarkers as predictors of frailty and mortality: a 10-year longitudinal study in community-dwelling older people. Age (Omaha) 35(3):963–971\nGale CR, Baylis D, Cooper C, Sayer AA (2013) Inflammatory markers and incident frailty in men and women: the english longitudinal study of ageing. Age (Omaha) 35(6):2493–2501\nSoysal P, Stubbs B, Lucato P, Luchini C, Solmi M, Peluso R et al (2016) Inflammation and frailty in the elderly: a systematic review and meta-analysis. Ageing Res Rev 31:1–8\nMarcos-Pérez D, Sánchez-Flores M, Proietti S, Bonassi S, Costa S, Teixeira JP et al (2020) Association of inflammatory mediators with frailty status in older adults: results from a systematic review and meta-analysis. GeroScience 42(6):1451–1473\nPasco JA, Nicholson GC, Kotowicz MA (2012) Cohort profile: geelong osteoporosis study. Int J Epidemiol 41(6):1565–1575\nBrennan-Olsen SL, Williams LJ, Holloway KL, Hosking SM, Stuart AL, Dobbins AG et al (2015) Small area-level socioeconomic status and all-cause mortality within 10years in a population-based cohort of women: data from the geelong osteoporosis study. Prev Med Reports 2:505–511\nCharlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383\nDent E, Kowal P, Hoogendijk EO (2016) Frailty measurement in research and clinical practice: a review. Eur J Intern Med 31:3–10\nMarino M, Nicholas JA, Gleim GW, Rosenthal P, Nicholas SJ (1982) The efficacy of manual assessment of muscle strength using a new device. Am J Sports Med 10(6):360–364\nPasco JA, Stuart AL, Holloway-Kew KL, Tembo MC, Sui SX, Anderson KB et al (2020) Lower-limb muscle strength: normative data from an observational population-based study. BMC Musculoskelet Disord 21(1):89\nPodsiadlo D, Richardson S (1991) The timed “Up and Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 39(2):142–148\nTembo MC, Holloway-Kew KL, Bortolasci CC, Sui SX, Brennan-Olsen SL, Williams LJ et al (2020) Total antioxidant capacity and frailty in older men. Am J Mens Health 14(5):8–23\nTembo MC, Holloway-Kew KL, Sui SX, Dunning T, Low ACH, Yong SJ et al (2020) Prevalence of frailty in older men and women: cross-sectional data from the Geelong Osteoporosis Study. Calcif Tissue Int 107:220–229\nLeng SX, Tian X, Matteini A, Li H, Hughes J, Jain A et al (2011) Il-6-independent association of elevated serum neopterin levels with prevalent frailty in community-dwelling older adults. Age Ageing 40(4):475–481\nPuts MTE, Visser M, Twisk JWR, Deeg DJH, Lips P (2005) Endocrine and inflammatory markers as predictors of frailty. Clin Endocrinol (Oxf) 63(4):403–411\nDinarello CA (2010) Anti-inflammatory agents : present and future. Cell 140(6):935–950",{"EN":1136},"To investigate the association between serum interleukin-6 (IL-6) and frailty. There is evidence that suggests that IL-6 is positively associated with frailty in men; an association partly explained by medications known to affect inflammation. These findings support the notion that frailty is a state of heightened inflammation and that IL-6 could be a potential biomarker useful for identifying individuals that are at risk of frailty. To investigate the association between serum interleukin-6 (IL-6) and frailty. Participants were 581 men aged 60–90 yr (median (IQR): 74 yr (67–83 yr)) from the Geelong Osteoporosis Study. Tallies of ≥ 3, 1–2 and 0 for weight loss\u002Fexhaustion\u002Fphysical-inactivity\u002Fslowness\u002Fweakness indicated frailty, pre-frailty and robustness, respectively. Anthropometry, lower-limb muscle strength and physical performance were measured and health behaviours self-reported. Serum IL-6 was measured using an enzyme-linked immunosorbent assay and log-transformed (ln-IL-6). Total antioxidant capacity (TAC) was also measured using quantitative colorimetric determination. Multivariable ordinal logistic regression models tested associations between ln-IL-6 and frailty while considering age, anthropometry, comorbidities, TAC, medications that affect inflammatory processes, lifestyle and socioeconomic status. There were 49(8.4%) frail and 315(54.2%) pre-fail men. A relationship was evident between ln-IL-6 and frailty before and after accounting for age (adjusted OR = 1.24, 95%CI 1.01–1.53). Adjusting for medications attenuated the association (OR = 1.20, 95%CI 0.98–1.48). No other confounders were identified. These data suggest that IL-6 is positively associated with frailty in men, partly explained by advancing age and medications known to affect inflammation.",{"EN":1138},"Association between serum interleukin-6 and frailty in older men: cross-sectional data",{"VOID":1140},"10.1007\u002Fs41999-021-00490-8","2025-01-26T23:42:21.168+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs41999-021-00490-8",[1144,1159,1207,1248,1260,1272,1301],{"id":1145,"sortIndex":126,"researcher":18,"roles":1146,"affiliations":1147,"properties":1156},"48d73031-751c-4883-a61d-d8b90f6e83aa",[168],[1148],{"id":18,"sortIndex":19,"affiliation":1149,"properties":18},{"id":1150,"createTime":1151,"updateTime":1151,"relativeEntities":1152,"slug":18,"properties":1153,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"79772ca9-639b-4ae4-bc97-5ee6a1c7d205","2024-01-11T21:14:02.081+00:00",[],{"title":1154},{"VI":1155},"IMPACT, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia",{"title":1157},{"VI":1158},"Kara L. Holloway-Kew",{"id":1160,"sortIndex":261,"researcher":18,"roles":1161,"affiliations":1162,"properties":1204},"3a6877ef-7e0c-4f0d-bd4d-bdf13af55a75",[168],[1163,1173,1184,1194],{"id":18,"sortIndex":19,"affiliation":1164,"properties":18},{"id":1165,"createTime":1166,"updateTime":1167,"relativeEntities":1168,"slug":1169,"properties":1170,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"af8a361b-080a-499e-946a-c1f89590a420","2024-01-14T01:38:40.374+00:00","2024-10-14T21:35:08.520+00:00",[],"School-of-Health-and-Social-Development-Deakin-University-Geelong-Australia",{"title":1171},{"VI":1172},"School of Health and Social Development, Deakin University, Geelong, Australia",{"id":1174,"sortIndex":166,"affiliation":1175,"properties":1183},"7cc4cae6-7334-4915-90b1-5b94e4331dd1",{"id":1176,"createTime":1177,"updateTime":1177,"relativeEntities":1178,"slug":1179,"properties":1180,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"385010cc-1559-4c60-8f7d-dbe9d044f65a","2023-11-27T05:06:12.198+00:00",[],"Department-of-Medicine-Western-Health-The-University-of-Melbourne-St-Albans-Australia",{"title":1181},{"VI":1182},"Department of Medicine-Western Health, The University of Melbourne, St. Albans, Australia",{},{"id":1185,"sortIndex":126,"affiliation":1186,"properties":1193},"b6e76fff-b87b-4ca4-af41-bf70101ac702",{"id":1187,"createTime":1188,"updateTime":1188,"relativeEntities":1189,"slug":18,"properties":1190,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"8c134d01-e56f-4bc3-846e-7ac0ee73a769","2024-01-14T05:20:11.881+00:00",[],{"title":1191},{"VI":1192},"Institute for Health Transformation, Deakin University, Geelong, Australia",{},{"id":1195,"sortIndex":261,"affiliation":1196,"properties":1203},"5dc1a412-b5a7-4a3e-8ad2-5e4efe4cc29f",{"id":1197,"createTime":1198,"updateTime":1198,"relativeEntities":1199,"slug":18,"properties":1200,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"987633d1-2982-4840-8bc4-88783c30d8f2","2024-01-14T05:20:11.891+00:00",[],{"title":1201},{"VI":1202},"Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne, St Albans, Australia",{},{"title":1205},{"VI":1206},"Sharon L. Brennan-Olsen",{"id":1208,"sortIndex":1209,"researcher":18,"roles":1210,"affiliations":1211,"properties":1245},"1aee2dc9-1ae2-4ccc-a61a-449296b1cb6b",6,[168],[1212,1219,1224,1235],{"id":1213,"sortIndex":126,"affiliation":1214,"properties":1218},"6450c3b6-12a4-4f18-8dec-012fec984d36",{"id":1176,"createTime":1177,"updateTime":1177,"relativeEntities":1215,"slug":1179,"properties":1216,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1217},{"VI":1182},{},{"id":18,"sortIndex":19,"affiliation":1220,"properties":18},{"id":1150,"createTime":1151,"updateTime":1151,"relativeEntities":1221,"slug":18,"properties":1222,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1223},{"VI":1155},{"id":1225,"sortIndex":261,"affiliation":1226,"properties":1234},"441867fc-0d5a-4a69-b057-9cc36fd029f9",{"id":1227,"createTime":1228,"updateTime":1228,"relativeEntities":1229,"slug":1230,"properties":1231,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"cfd94fb2-ed1b-45f3-9e61-575cef6aca79","2024-04-06T18:50:26.925+00:00",[],"Department-of-Epidemiology-and-Preventive-Medicine-Monash-University-Prahran-Australia",{"title":1232},{"VI":1233},"Department of Epidemiology and Preventive Medicine, Monash University, Prahran, Australia",{},{"id":1236,"sortIndex":166,"affiliation":1237,"properties":1244},"8ed66331-d1e7-45f0-a0b9-2157a1b7275c",{"id":1238,"createTime":1239,"updateTime":1239,"relativeEntities":1240,"slug":18,"properties":1241,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"b47b7ea8-57bf-4718-944d-e5440f76780a","2024-01-17T09:28:00.951+00:00",[],{"title":1242},{"VI":1243},"Barwon Health, Geelong, Australia",{},{"title":1246},{"VI":1247},"Julie A. Pasco",{"id":1249,"sortIndex":230,"researcher":18,"roles":1250,"affiliations":1251,"properties":1257},"18824a0a-2b1b-49b2-a9b7-f3fb3d918b03",[168],[1252],{"id":18,"sortIndex":19,"affiliation":1253,"properties":18},{"id":1150,"createTime":1151,"updateTime":1151,"relativeEntities":1254,"slug":18,"properties":1255,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1256},{"VI":1155},{"title":1258},{"VI":1259},"Lana J. Williams",{"id":1261,"sortIndex":19,"researcher":18,"roles":1262,"affiliations":1263,"properties":1269},"2a9854b9-23ac-4b03-9b68-c9d7b5337fa2",[168],[1264],{"id":18,"sortIndex":19,"affiliation":1265,"properties":18},{"id":1150,"createTime":1151,"updateTime":1151,"relativeEntities":1266,"slug":18,"properties":1267,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1268},{"VI":1155},{"title":1270},{"VI":1271},"Monica C. Tembo",{"id":1273,"sortIndex":248,"researcher":18,"roles":1274,"affiliations":1275,"properties":1298},"44cbd57a-058c-405b-93c8-d1567668e1b0",[168],[1276,1286,1293],{"id":1277,"sortIndex":126,"affiliation":1278,"properties":1285},"6a2c1746-1747-454f-9e7a-86e9dec424f0",{"id":1279,"createTime":1280,"updateTime":1280,"relativeEntities":1281,"slug":18,"properties":1282,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"3ada83a8-9117-4db6-8126-98ace21d19ff","2024-01-18T12:55:28.921+00:00",[],{"title":1283},{"VI":1284},"Department of Medicine - Western Health, The University of Melbourne, St Albans, Australia",{},{"id":1287,"sortIndex":166,"affiliation":1288,"properties":1292},"ba1a99d8-44be-4bec-91bd-a39f3c616906",{"id":1238,"createTime":1239,"updateTime":1239,"relativeEntities":1289,"slug":18,"properties":1290,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1291},{"VI":1243},{},{"id":18,"sortIndex":19,"affiliation":1294,"properties":18},{"id":1150,"createTime":1151,"updateTime":1151,"relativeEntities":1295,"slug":18,"properties":1296,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1297},{"VI":1155},{"title":1299},{"VI":1300},"Mark A. Kotowicz",{"id":1302,"sortIndex":166,"researcher":18,"roles":1303,"affiliations":1304,"properties":1310},"f723e92d-db4d-4f12-89d6-f07f58fc676e",[168],[1305],{"id":18,"sortIndex":19,"affiliation":1306,"properties":18},{"id":1150,"createTime":1151,"updateTime":1151,"relativeEntities":1307,"slug":18,"properties":1308,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1309},{"VI":1155},{"title":1311},{"VI":1312},"Chiara C. Bortolasci",{"url":1142,"publisher":1314,"properties":1341},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1315,"slug":10,"properties":1316,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1319,"manageAffiliations":1320,"indexDatabases":1321,"url":99,"thumbnailPath":18,"statistic":1336,"gsStatistic":18,"type":140,"analyzePriority":18},[],{"issn":1317,"title":1318},{"VOID":13},{"EN":15},[],[],[1322,1329],{"id":61,"indexDatabase":1323,"url":74,"indexYears":75,"academicFieldIds":1328,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":1324,"label":1325,"description":1326,"key":71,"publicationTags":1327,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"id":81,"indexDatabase":1330,"url":96,"indexYears":18,"academicFieldIds":1335,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":1331,"label":1332,"description":1333,"key":92,"publicationTags":1334,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"impactFactor":19,"impactFactorByYear":1337,"i10Index":107,"i10IndexLast5Year":108,"totalPublication":109,"totalPublicationByYear":1338,"totalCitation":124,"totalCitationByYear":1339,"totalCitationPerPublication":132,"totalCitationPerPublicationByYear":1340,"hindexLast5Year":139,"hindex":139},{"2019":102,"2020":103,"2021":104,"2022":105,"2023":106},{"2010":111,"2011":112,"2012":113,"2013":114,"2014":115,"2015":116,"2016":117,"2017":118,"2018":119,"2019":119,"2020":120,"2021":121,"2022":119,"2023":122,"2024":123},{"2011":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131},{"2011":134,"2018":135,"2019":136,"2020":137,"2021":138,"2022":105},{"volume":1342,"pages":1343},{"VOID":381},{"VOID":1344},"887-892","2021-03-27",{"id":1347,"createTime":1348,"updateTime":1348,"relativeEntities":1349,"slug":18,"properties":1350,"entityType":158,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1359,"fullTextUrl":18,"authors":1360,"publicationType":275,"publisherRelationship":1459,"citationCount":18,"citationInfo":18,"publishDate":1492,"publishYear":1493,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":311},"6b7b65e5-68f6-4cb0-b71a-cf61d91543bf","2024-01-28T23:36:50.644+00:00",[],{"references":1351,"abstract":1353,"title":1355,"doi":1357},{"VOID":1352},"Proietti M, Cesari M (2021) Describing the relationship between atrial fibrillation and frailty: clinical implications and open research questions. Exp Gerontol 152:111455. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.exger.2021.111455\nZhang Y (2021) Prediction model of fattening in elderly inpatients with cardiovascular disease based on decision tree. Shantou University\nZheng JR, Yang SL (2020) Minnan region of Fujian province present endowment the elderly quality of life that occupy the home under the weak condition. J Occup Health 4(19):2669–2672\nZhao J, Ding JH, Wei LZ et al (2022) Cluster analysis of self-management types and characteristics in elderly patients with COPD. J Nurs 37(3):88–92\nAntoniu SA, Boiculese LV, Prunoiu V (2021) Frailty, a dimension of impaired functional status in advanced COPD: utility and clinical applicability. Medicina (Kaunas) 57(5):474\nGephine S, Mucci P, Grosbois JM et al (2021) Physical frailty in COPD patients with chronic respiratory failure. Int J Chron Obstruct Pulmon Dis 16:1381–1392\nDias LS, Ferreira ACG, da Silva Junior JLR et al (2020) Prevalence of frailty and evaluation of associated variables among COPD patients. Int J Chron Obstruct Pulmon Dis 15:1349–1356\nVeronese N, Sigeirsdottir K, Eiriksdottir G et al (2017) Frailty and risk of cardiovascular diseases in older persons: the age, gene\u002Fenvironment susceptibility-Reykjavik study. Rejuvenation Res 20(6):517–524. https:\u002F\u002Fdoi.org\u002F10.1089\u002Frej.2016.1905\nMarengoni A, Vetrano DL, Manes-Gravina E et al (2018) The relationship between COPD and frailty: a systematic review and meta-analysis of observational studies. Chest 154(1):21–40\nRabe KF, Watz H (2017) Chronic obstructive pulmonary disease. Lancet 389(10082):1931–1940\nCollins PF, Yang IA, Chang YC et al (2019) Nutritional support in chronic obstructive pulmonary disease (COPD): an evidence update. J Thorac Dis 11(Suppl 17):S2230–S2237\nLee SY, Nyunt MSZ, Gao Q et al (2022) Co-occurrence of physical frailty and COPD and association with disability and mortality: singapore longitudinal ageing study. Chest 161(5):1225–1238. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.chest.2021.12.633\nKoons B, Greenland JR, Diamond JM et al (2020) Pathobiology of frailty in lung disease. Transl Res 221:1–22\nHalpin DMG, Criner GJ, Papi A et al (2021) Global initiative for the diagnosis, management, and prevention of chronic obstructive lung disease. The 2020 GOLD science committee report on COVID-19 and chronic obstructive pulmonary disease. Am J Respir Crit Care Med 203(1):24–36\nMorley JE, Vellas B, van Kan GA et al (2013) Frailty consensus: a call to action. J Am Med Dir Assoc 14(6):392–397\nYu J-Y (2019) Preliminary construction of a risk prediction model for frailty and pre-frailty in older adults in Chengdu community. Chengdu University of Traditional Chinese Medicine\nBernabeu-Mora R, Oliveira-Sousa SL, Sánchez-Martínez MP et al (2020) Frailty transitions and associated clinical outcomes in patients with stable COPD: a longitudinal study. PLoS One 15(4):e0230116\nXu Y, Jia Y, Zhang Q et al (2021) Prevalence and risk factors for postoperative venous thromboembolism in patients with ovarian cancer: Systematic review and meta-analysis. Gynecol Oncol 160(2):610–618\nTer Beek L, van der Vaart H, Wempe JB et al (2020) Coexistence of malnutrition, frailty, physical frailty and disability in patients with COPD starting a pulmonary rehabilitation program. Clin Nutr 39(8):2557–2563\nWeng S, Wang W, Wei Q et al (2019) Effect of tranexamic acid in patients with traumatic brain injury: a systematic review and meta-analysis. World Neurosurg 123:128–135. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.wneu.2018.11.214\nBozkurt C, Yildirim Y, Senuzun AF (2021) The effect of frailty level on acceptance of illness in older people with chronic obstructive pulmonary disease. Turk J Geriatr 4(2):244–254\nKagiali S, Inal-Ince D, Cakmak A et al (2022) Daily living activities, exercise capacity, cognition, and balance in COPD patients with and without frailty. Ir J Med Sci 191(2):817–824\nLuo J, Zhang D, Tang W et al (2021) Impact of frailty on the risk of exacerbations and all-cause mortality in elderly patients with stable chronic obstructive pulmonary disease. Clin Interv Aging 16:593–601\nNaval E, González MC, Giraldós S, Calatayud J, Jornet M, Lluch I, Meseguer M, Cubillan JJR, Viña J, Tarazona-Santabalbina FJ (2021) Frailty Assessment in a stable COPD cohort: is there a COPD-frail phenotype? COPD 18(5):525–532\nNishimura K, Nakayasu K, Mori M et al (2021) Are fatigue and pain overlooked in subjects with stable chronic obstructive pulmonary disease? Diagnostics (Basel) 11(11):2029\nPark SK (2021) Frailty in Korean patients with chronic obstructive pulmonary disease, using data from the Korea national health and nutrition examination survey, 2015 and 2016. Appl Nurs Res 59:151417\nTakahashi S, Hirano T, Yasuda K et al (2021) Impact of frailty on hippocampal volume in patients with chronic obstructive pulmonary disease. Biomedicines 9(9):1103\nWitt LJ, Spacht WA, Carey KA et al (2021) Weak handgrip at index admission for acute exacerbation of COPD predicts all-cause 30-day readmission. Front Med (Lausanne) 8:611989\nChin M, Voduc N, Huang S et al (2020) Practical lessons in implementing frailty assessments for hospitalised patients with COPD. BMJ Open Qual 9(1):e000782\nOishi K, Matsunaga K, Harada M et al (2020) A new dyspnea evaluation system focusing on patients’ perceptions of dyspnea and their living disabilities: the linkage between COPD and frailty. J Clin Med 9(11):3580\nTalay MB, Tas GS, Birtekocak F et al (2020) Factors affecting frailty syndrome in elderly chronic obstructive pulmonary disease patients and its relationship with systemic inflammation. Turk J Geriatr 23(4):446–454\nIerodiakonou D, Kampouraki M, Poulonirakis I et al (2019) Determinants of frailty in primary care patients with COPD: the Greek UNLOCK study. BMC Pulm Med 19(1):63\nChen PJ, Yang KY, Perng WC et al (2018) Effect of dyspnea on frailty stages and related factors in Taiwanese men with COPD. Int J Chron Obstruct Pulmon Dis 13:2463–2469\nGale NS, Albarrati AM, Munnery MM et al (2018) Frailty: a global measure of the multisystem impact of COPD. Chron Respir Dis 15(4):347–355\nMedina-Mirapeix F, Bernabeu-Mora R, Giménez-Giménez LM et al (2018) Physical frailty characteristics have a differential impact on symptoms as measured by the CAT score: an observational study. Health Qual Life Outcomes 16(1):140\nKusunose M, Oga T, Nakamura S et al (2017) Frailty and patient-reported outcomes in subjects with chronic obstructive pulmonary disease: are they independent entities? BMJ Open Respir Res 4(1):e000196\nLimpawattana P, Putraveephong S, Inthasuwan P et al (2017) Frailty syndrome in ambulatory patients with COPD. Int J Chron Obstruct Pulmon Dis 12:1193–1198\nMittal N, Raj R, Islam EA et al (2016) The frequency of frailty in ambulatory patients with chronic lung diseases. J Prim Care Community Health 7(1):10–15\nValenza MC, Torres-Sánchez I, Cabrera-Martos I et al (2016) Physical activity as a predictor of absence of frailty in subjects with stable COPD and COPD exacerbation. Respir Care 61(2):212–219\nPark SK, Richardson CR, Holleman RG et al (2013) Frailty in people with COPD, using the national health and nutrition evaluation survey dataset (2003–2006). Heart Lung 42(3):163–170\nGalizia G, Cacciatore F, Testa G, Della-Morte D, Mazzella F, Langellotto A, Raucci C, Gargiulo G, Ferrara N, Rengo F, Abete P (2011) Role of clinical frailty on long-term mortality of elderly subjects with and without chronic obstructive pulmonary disease. Aging Clin Exp Res 23(2):118–125. https:\u002F\u002Fdoi.org\u002F10.1007\u002FBF03351076. (PMID: 21743290)\nHanlon P, Lewsey J, Quint JK et al (2022) Frailty in COPD: an analysis of prevalence and clinical impact using UK Biobank. BMJ Open Respir Res 9(1):e001314\nZhang D, Tang W, Dou LY et al (2022) Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease. BMC Geriatr 22(1):57\nScarlata S, Finamore P, Laudisio A et al (2021) Association between frailty index, lung function, and major clinical determinants in chronic obstructive pulmonary disease. Aging Clin Exp Res 33(8):2165–2173\nYee N, Locke ER, Pike KC et al (2020) Frailty in chronic obstructive pulmonary disease and risk of exacerbations and hospitalizations. Int J Chron Obstruct Pulmon Dis 15:1967–1976\nEhsani H, Mohler MJ, Golden T et al (2018) Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study. Int J Chron Obstruct Pulmon Dis 14:39–49\nBernabeu-Mora R, García-Guillamón G, Valera-Novella E et al (2017) Frailty is a predictive factor of readmission within 90 days of hospitalization for acute exacerbations of chronic obstructive pulmonary disease: a longitudinal study. Ther Adv Respir Dis 11(10):383–392\nMedina-Mirapeix F, Bernabeu-Mora R, García-Guillamón G et al (2016) Patterns, trajectories, and predictors of functional decline after hospitalization for acute exacerbations in men with moderate to severe chronic obstructive pulmonary disease: a longitudinal study. PLoS One 11(6):e0157377\nRoberts MH, Mapel DW, Ganvir N et al (2022) Frailty among older individuals with and without COPD: a cohort study of prevalence and association with adverse outcomes. Int J Chron Obstruct Pulmon Dis 17:701–717\nKennedy CC, Novotny PJ, LeBrasseur NK et al (2019) Frailty and clinical outcomes in chronic obstructive pulmonary disease. Ann Am Thorac Soc 16(2):217–224\nUshida K, Shimizu A, Hori S, Yamamoto Y, Momosaki R (2022) Hospital frailty risk score predicts outcomes in chronic obstructive pulmonary disease exacerbations. Arch Gerontol Geriatr 100:104658 (published correction appears in Arch Gerontol Geriatr. 2022 Jul 21;103:104780)\nMaddocks M, Kon SS, Canavan JL et al (2016) Physical frailty and pulmonary rehabilitation in COPD: a prospective cohort study. Thorax 71(11):988–995\nLahousse L, Ziere G, Verlinden VJ et al (2016) Risk of frailty in elderly With COPD: a population-based study. J Gerontol A Biol Sci Med Sci 71(5):689–695\nKojima G, Iliffe S, Walters K (2015) Smoking as a predictor of frailty: a systematic review. BMC Geriatr 15(1):131\nFinamore P, Scarlata S, Delussu AS et al (2021) Frailty impact during and after pulmonary rehabilitation. COPD 18(5):518–524\nWang Z, Hu X, Dai Q (2020) Is it possible to reverse frailty in patients with chronic obstructive pulmonary disease? Clinics (Sao Paulo) 75:e1778\nJingxue P, Liqun C, Jingli W et al (2021) Investigation on cognitive function of elderly patients with chronic diseases in community. Chin J Nurs 56(01):109–115\nXiaolin H, Jing G, Chenxi W et al (2018) Current status and analysis of frailty in elderly people in nursing institutions. Chin J Nurs 53(1):88–93\nProvinciali M, Cardelli M, Marchegiani F (2011) Inflammation, chronic obstructive pulmonary disease and aging. Curr Opin Pulm Med 17(Suppl 1):S3-10\nBarriga S, Rodrigues F, Bárbara C (2014) Factors that influence physical activity in the daily life of male patients with chronic obstructive pulmonary disease. Rev Port Pneumol 20(3):131–137\nTanabe N, Sato S (2021) Narrative review of current COPD status in Japan. J Thorac Dis 13(6):3878–3887\nBrighton LJ, Evans CJ, Farquhar M et al (2021) Integrating comprehensive geriatric assessment for people with COPD and frailty starting pulmonary rehabilitation: the Breathe Plus feasibility trial protocol. ERJ Open Res 7(1):00717–02020\nLiao CD, Chen HC, Huang SW et al (2019) The role of muscle mass gain following protein supplementation plus exercise therapy in older adults with sarcopenia and frailty risks: a systematic review and meta-regression analysis of randomized trials. Nutrients 11(8):1713\nAngulo J, El Assar M, Álvarez-Bustos A et al (2020) Physical activity and exercise: strategies to manage frailty. Redox Biol 35:101513\nJyrkkä J, Enlund H, Korhonen MJ, Sulkava R, Hartikainen S (2009) Patterns of drug use and factors associated with polypharmacy and excessive polypharmacy in elderly persons. Drugs Aging 26(6):493–503\nMangoni AA, Jackson SH (2004) Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. Br J Clin Pharmacol 57(1):6–14\nAli B, Choi EE, Barlas V et al (2022) Modified Frailty Index (mFI) predicts 30-day complications after microsurgical breast reconstruction. J Plast Surg Hand Surg 56(4):229–235\nNaharci MI, Tasci I (2020) Frailty status and increased risk for falls: The role of anticholinergic burden. Arch Gerontol Geriatr 90:104136\nAtassi M, Kavav ACF, Nejjari C et al (2020) Association between chronic airflow obstruction and socio-economic position in Morocco: BOLD results. Int J Tuberc Lung Dis 24(2):202–206",{"EN":1354},"This study is the first to explore the risk factors of frailty in chronic obstructive pulmonary disease (COPD) patients. The estimated prevalence of frailty in patients with COPD was 36%. Age, education level, income level and CAT score are risk factors for frailty in COPD patients. To systematically review the prevalence and risk factors for frailty in patients with chronic obstructive pulmonary disease (COPD). A systematic review and meta-analysis were conducted, and a search of the PubMed, Embase and Web of Science databases was carried out to collect Chinese and English studies on frailty and COPD published up to September 5, 2022. A total of 38 articles were included for the quantitative analysis after the collected literature was either included or omitted based on pertinent criteria. The results indicated that the estimated overall pooled prevalence of frailty was 36% (95% confidence interval [CI] = 31–41%), and the estimated pre-frailty was 43% (95% CI = 37–49%). A higher age (odds ratio [OR] = 1.04; 95% CI = 1.01–1.06) and higher COPD assessment test (CAT) score (OR = 1.19; 95% CI = 1.12–1.27) were associated with a significantly increased likelihood of frailty in patients with COPD. However, a higher educational attainment (OR = 0.55; 95% CI = 0.43–0.69) and higher income (OR = 0.63; 95% CI = 0.45–0.88) were associated with a significantly reduced risk of frailty in patients with COPD. A total of 17 other risk factors for frailty were identified via qualitative synthesis. The incidence of frailty in patients with COPD is high, and there are many influencing factors.",{"EN":1356},"Prevalence and risk factors of frailty in patients with chronic obstructive pulmonary disease: systematic review and meta-analysis",{"VOID":1358},"10.1007\u002Fs41999-023-00800-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs41999-023-00800-2",[1361,1376,1393,1408,1423,1435,1447],{"id":1362,"sortIndex":166,"researcher":18,"roles":1363,"affiliations":1364,"properties":1373},"b3c2e1cd-987d-4cf0-a80b-bc1fb3535ba7",[168],[1365],{"id":18,"sortIndex":19,"affiliation":1366,"properties":18},{"id":1367,"createTime":1368,"updateTime":1368,"relativeEntities":1369,"slug":18,"properties":1370,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"b5830223-552e-4a6b-a76b-43d2eaa551e8","2024-01-28T23:36:50.678+00:00",[],{"title":1371},{"VI":1372},"College of Nursing, He Xi College, Zhangye, China",{"title":1374},{"VI":1375},"Xiao-Yan Wang",{"id":1377,"sortIndex":230,"researcher":18,"roles":1378,"affiliations":1379,"properties":1390},"32eb353e-6f03-44a1-a00d-c7edab5e920e",[168],[1380],{"id":18,"sortIndex":19,"affiliation":1381,"properties":18},{"id":1382,"createTime":1383,"updateTime":1384,"relativeEntities":1385,"slug":1386,"properties":1387,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"01de2f4e-f2cf-481c-97f0-edee50a8d23d","2024-01-28T23:36:50.703+00:00","2025-06-11T15:18:21.089+00:00",[],"Department-of-Nursing-The-General-Hospital-of-Ningxia-Medical-University-Yinchuan-City-China",{"title":1388},{"VI":1389},"Department of Nursing, The General Hospital of Ningxia Medical University, Yinchuan City, China",{"title":1391},{"VI":1392},"Yan Chang",{"id":1394,"sortIndex":1209,"researcher":18,"roles":1395,"affiliations":1396,"properties":1405},"f8d90b6d-09f1-4596-b123-ae10e8b80836",[168],[1397],{"id":18,"sortIndex":19,"affiliation":1398,"properties":18},{"id":1399,"createTime":1400,"updateTime":1400,"relativeEntities":1401,"slug":18,"properties":1402,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"8285793a-8aeb-4aaf-b990-5e94261de21e","2024-01-28T23:36:50.714+00:00",[],{"title":1403},{"VI":1404},"Department of Respiratory and Critical Care Medicine, The General Hospital of Ningxia Medical University, Ningxia, China",{"title":1406},{"VI":1407},"Bei Wang",{"id":1409,"sortIndex":261,"researcher":18,"roles":1410,"affiliations":1411,"properties":1420},"deb7f4f4-d21b-40f4-bec2-62214108409a",[168],[1412],{"id":18,"sortIndex":19,"affiliation":1413,"properties":18},{"id":1414,"createTime":1415,"updateTime":1415,"relativeEntities":1416,"slug":18,"properties":1417,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"6a75057f-2ae1-4579-9339-adc6fc4de402","2024-01-28T23:36:50.690+00:00",[],{"title":1418},{"VI":1419},"Department of Radiology, Yinchuan Stomatology Hospital, Ningxia, China",{"title":1421},{"VI":1422},"Gang Xiao",{"id":1424,"sortIndex":126,"researcher":18,"roles":1425,"affiliations":1426,"properties":1432},"412070ec-7c35-4a6d-80b9-249bc7c7e107",[168],[1427],{"id":18,"sortIndex":19,"affiliation":1428,"properties":18},{"id":1382,"createTime":1383,"updateTime":1384,"relativeEntities":1429,"slug":1386,"properties":1430,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1431},{"VI":1389},{"title":1433},{"VI":1434},"Hong-Yan 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