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33, 478",{},{"id":23,"text":2188,"url":23,"identifiers":2189},"10.1002\u002Facr.22629",{"doi":2188},{"id":23,"text":2191,"url":23,"identifiers":2192},"10.1136\u002Fard.2006.059980",{"doi":2191},{"id":23,"text":2194,"url":23,"identifiers":2195},"Kent, 2004, Risk factors for methotrexate-induced abnormal laboratory monitoring results in patients with rheumatoid arthritis, J Rheumatol, 31, 1727",{},{"id":23,"text":2197,"url":23,"identifiers":2198},"Figueiredo-Braga, 2018, Correlation between physical markers and psychiatric health in a Portuguese systemic lupus erythematosus cohort: the role of suffering in chronic autoimmune disease, PLoS One, 13, 10.1371\u002Fjournal.pone.0195579",{"doi":2199},"10.1371\u002Fjournal.pone.0195579",{"id":23,"text":2201,"url":23,"identifiers":2202},"10.1007\u002Fs00198-012-2157-9",{"doi":2201},{"id":23,"text":2204,"url":23,"identifiers":2205},"Katz, 2011, Impact of obesity on functioning among women with systemic lupus erythematosus, Arthritis Care Res, 63, 1357, 10.1002\u002Facr.20526",{"doi":2206},"10.1002\u002Facr.20526",{"id":23,"text":2208,"url":23,"identifiers":2209},"10.1097\u002FRHU.0b013e3180645865",{"doi":2208},{"id":23,"text":2211,"url":23,"identifiers":2212},"10.1136\u002Fard.2006.059311",{"doi":2211},{"id":23,"text":2214,"url":23,"identifiers":2215},"Uaratanawong, 2004, Four years follow-up of bone mineral density change in premenopausal women with systemic lupus erythematosus, J Med Assoc Thai, 87, 1374",{},{"id":23,"text":2217,"url":23,"identifiers":2218},"Bruce, 1998, Detection and modification of risk factors for coronary artery disease in patients with systemic lupus erythematosus: a quality improvement study, Clin Exp Rheumatol, 16, 435",{},{"id":23,"text":2220,"url":23,"identifiers":2221},"10.1016\u002F0002-9343(92)90578-Y",{"doi":2220},{"id":23,"text":2223,"url":23,"identifiers":2224},"Hernández-Breijo, 2019, Association between concomitant csDMARDs and clinical response to TNF inhibitors in overweight patients with axial spondyloarthritis, Arthritis Res Ther, 21, 66, 10.1186\u002Fs13075-019-1849-3",{"doi":2225},"10.1186\u002Fs13075-019-1849-3",{"id":23,"text":2227,"url":23,"identifiers":2228},"Jeong, 2018, Effect of tumor necrosis factor α inhibitors on spinal radiographic progression in patients with ankylosing spondylitis, Int J Rheum Dis, 21, 1098, 10.1111\u002F1756-185X.13270",{"doi":2229},"10.1111\u002F1756-185X.13270",{"id":23,"text":2231,"url":23,"identifiers":2232},"Pedersen SJ , Weber U , Said-Nahal R . Structural progression rate decreases over time on serial radiography and magnetic resonance imaging of sacroiliac joints and spine in a five-year follow-up study of patients with ankylosing spondylitis treated with tumour necrosis factor inhibitor. Scand J Rheumatol 2018:1–13.",{"doi":2233},"10.1080\u002F03009742.2018.1506822",{"id":23,"text":2235,"url":23,"identifiers":2236},"Maas, 2017, Ankylosing spondylitis patients at risk of poor radiographic outcome show diminishing spinal radiographic progression during long-term treatment with TNF-α inhibitors, PLoS One, 12, 10.1371\u002Fjournal.pone.0177231",{"doi":2237},"10.1371\u002Fjournal.pone.0177231",{"id":23,"text":2239,"url":23,"identifiers":2240},"Maas, 2017, Clinical risk factors for the presence and development of vertebral fractures in patients with ankylosing spondylitis, Arthritis Care Res, 69, 694, 10.1002\u002Facr.22980",{"doi":2241},"10.1002\u002Facr.22980",{"id":23,"text":2243,"url":23,"identifiers":2244},"Micheroli, 2017, Impact of obesity on the response to tumor necrosis factor inhibitors in axial spondyloarthritis, Arthritis Res Ther, 19, 164, 10.1186\u002Fs13075-017-1372-3",{"doi":2245},"10.1186\u002Fs13075-017-1372-3",{"id":23,"text":2247,"url":23,"identifiers":2248},"Hwang, 2017, Higher body mass index and anti-drug antibodies predict the discontinuation of anti-TNF agents in Korean patients with axial spondyloarthritis, Rev Bras Reumatol Engl Ed, 57, 311, 10.1016\u002Fj.rbr.2016.10.001",{"doi":2249},"10.1016\u002Fj.rbr.2016.10.001",{"id":23,"text":2251,"url":23,"identifiers":2252},"van Weely, 2016, Continuous improvement of physical functioning in ankylosing spondylitis patients by tumor necrosis factor inhibitors: three-year followup and predictors, Arthritis Care Res, 68, 1522, 10.1002\u002Facr.22869",{"doi":2253},"10.1002\u002Facr.22869",{"id":23,"text":2255,"url":23,"identifiers":2256},"Maas, 2015, Spinal radiographic progression in patients with ankylosing spondylitis treated with TNF-α blocking therapy: a prospective longitudinal observational cohort study, PLoS One, 10, 10.1371\u002Fjournal.pone.0122693",{"doi":2257},"10.1371\u002Fjournal.pone.0122693",{"id":23,"text":2259,"url":23,"identifiers":2260},"10.1093\u002Frheumatology\u002Fket433",{"doi":2259},{"id":23,"text":2262,"url":23,"identifiers":2263},"10.1186\u002Far3841",{"doi":2262},{"id":23,"text":2265,"url":23,"identifiers":2266},"10.1136\u002Fannrheumdis-2012-202812",{"doi":2265},{"id":23,"text":2268,"url":23,"identifiers":2269},"Klingberg E , Bilberg A , Björkman S , et al . Weight loss improves disease activity in patients with psoriatic arthritis and obesity: an interventional study. Arthritis Res Ther 2019;21.doi:10.1186\u002Fs13075-019-1810-5",{"doi":2270},"10.1186\u002Fs13075-019-1810-5",{"id":23,"text":2272,"url":23,"identifiers":2273},"Polachek, 2017, Clinical Enthesitis in a prospective longitudinal psoriatic arthritis cohort: incidence, prevalence, characteristics, and outcome, Arthritis Care Res, 69, 1685, 10.1002\u002Facr.23174",{"doi":2274},"10.1002\u002Facr.23174",{"id":23,"text":2276,"url":23,"identifiers":2277},"10.1093\u002Frheumatology\u002Fkew326",{"doi":2276},{"id":23,"text":2279,"url":23,"identifiers":2280},"10.1136\u002Fannrheumdis-2013-204448",{"doi":2279},{"id":23,"text":2282,"url":23,"identifiers":2283},"10.1136\u002Frmdopen-2015-000181",{"doi":2282},{"id":23,"text":2285,"url":23,"identifiers":2286},"10.1002\u002Facr.21711",{"doi":2285},{"id":23,"text":2288,"url":23,"identifiers":2289},"10.3109\u002F03009742.2012.715186",{"doi":2288},{"id":23,"text":2291,"url":23,"identifiers":2292},"10.3899\u002Fjrheum.121433",{"doi":2291},{"id":23,"text":2294,"url":23,"identifiers":2295},"Marini, 2016, Survival protection by bodyweight in isolated scleroderma-related pulmonary artery hypertension, Intern Emerg Med, 11, 941, 10.1007\u002Fs11739-016-1446-2",{"doi":2296},"10.1007\u002Fs11739-016-1446-2",{"id":23,"text":2298,"url":23,"identifiers":2299},"10.1002\u002Fart.24734",{"doi":2298},{"id":23,"text":2301,"url":23,"identifiers":2302},"10.1136\u002Fannrheumdis-2017-211472",{"doi":2301},{"id":23,"text":2304,"url":23,"identifiers":2305},"10.1136\u002Fard.59.7.539",{"doi":2304},{"id":23,"text":2307,"url":23,"identifiers":2308},"Nguyen, 2017, Obesity paradox in recurrent attacks of gout in observational studies: clarification and remedy, Arthritis Care Res, 69, 561, 10.1002\u002Facr.22954",{"doi":2309},"10.1002\u002Facr.22954",{"id":23,"text":2311,"url":23,"identifiers":2312},"10.1016\u002Fj.soard.2014.02.025",{"doi":2311},{"id":23,"text":2314,"url":23,"identifiers":2315},"Su, 2008, Ischemia heart disease and greater waist circumference are risk factors of renal function deterioration in male gout patients, Clin Rheumatol, 27, 581, 10.1007\u002Fs10067-007-0750-7",{"doi":2316},"10.1007\u002Fs10067-007-0750-7",{"id":23,"text":2318,"url":23,"identifiers":2319},"Abhishek, 2016, Association of serum uric acid and disease duration with frequent gout attacks: a case-control study, Arthritis Care Res, 68, 1573, 10.1002\u002Facr.22855",{"doi":2320},"10.1002\u002Facr.22855",{"id":23,"text":2322,"url":23,"identifiers":2323},"Alvarez-Nemegyei, 2005, Factors associated with musculoskeletal disability and chronic renal failure in clinically diagnosed primary gout, J Rheumatol, 32, 1923",{},{"id":23,"text":2325,"url":23,"identifiers":2326},"Gwinnutt, 2020, The impact of lifestyle behaviours, physical activity and smoking on morbidity and mortality in patients with rheumatoid arthritis, Best Pract Res Clin Rheumatol, 34, 101562, 10.1016\u002Fj.berh.2020.101562",{"doi":2327},"10.1016\u002Fj.berh.2020.101562",{"id":23,"text":2329,"url":23,"identifiers":2330},"10.1007\u002Fs40279-015-0363-2",{"doi":2329},{"id":23,"text":2332,"url":23,"identifiers":2333},"Gwinnutt, 2021, Do people with rheumatoid arthritis maintain their physical activity level at treatment onset over the first year of methotrexate therapy?, Rheumatology, 60, 4633, 10.1093\u002Frheumatology\u002Fkeab060",{"doi":2334},"10.1093\u002Frheumatology\u002Fkeab060",{"id":23,"text":2336,"url":23,"identifiers":2337},"10.1002\u002Fart.30449",{"doi":2336},{"id":23,"text":2339,"url":23,"identifiers":2340},"Shin, 2019, Association between socioeconomic status and comorbidities among patients with rheumatoid arthritis: results of a nationwide cross-sectional survey, Rheumatology, 58, 1617, 10.1093\u002Frheumatology\u002Fkez081",{"doi":2341},"10.1093\u002Frheumatology\u002Fkez081",{"id":23,"text":2343,"url":23,"identifiers":2344},"Björk, 2022, Inflammatory arthritis and the effect of physical activity on quality of life and self-reported function: a systematic review and meta-analysis, Arthritis Care Res, 74, 31, 10.1002\u002Facr.24805",{"doi":2345},"10.1002\u002Facr.24805",{"id":23,"text":2347,"url":23,"identifiers":2348},"Ortolan, 2021, Do obesity and overweight influence disease activity measures in axial spondyloarthritis? A systematic review and meta-analysis, Arthritis Care Res, 73, 1815, 10.1002\u002Facr.24416",{"doi":2349},"10.1002\u002Facr.24416",false,{"id":2352,"createTime":2353,"updateTime":2353,"relativeEntities":2354,"slug":2355,"properties":2356,"entityType":110,"verifyStatus":111,"verifyTime":2353,"verifyNote":112,"languages":2367,"translateLanguages":23,"viewCount":24,"primaryUrl":2368,"fullTextUrl":23,"authors":2369,"publicationType":812,"publisherRelationship":2789,"citationCount":2836,"citationInfo":2837,"publishDate":866,"publishYear":863,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":2840,"openAccess":23,"references":2841,"isForceReanalyzing":2350},"be335539-cc9e-458d-944e-430053dc7a9b","2024-12-18T07:13:28.926+00:00",[],"Smoking-alcohol-consumption-and-disease-specific-outcomes-in-rheumatic-and-musculoskeletal-diseases-RMDs-systematic-reviews-informing-the-2021-EULAR-recommendations-for-lifestyle-improvements-in-people-with-RMDs",{"openalex":2357,"abstract":2359,"title":2361,"pm":2363,"doi":2365},{"VOID":2358},"W4221009769",{"EN":2360},"\u003Cjats:sec>\u003Cjats:title>Background\u003C\u002Fjats:title>\u003Cjats:p>A EULAR taskforce was convened to develop recommendations for lifestyle behaviours in rheumatic and musculoskeletal diseases (RMDs). The aim of this paper was to review the literature on the relationship between smoking and alcohol consumption with regard to RMD-specific outcomes.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Methods\u003C\u002Fjats:title>\u003Cjats:p>Two systematic reviews were conducted to identify systematic reviews and meta-analyses, published between 2013 and 2018, related to smoking and alcohol consumption in seven RMDs: osteoarthritis (OA), rheumatoid arthritis (RA), systemic lupus erythematosus, axial spondyloarthritis (axSpA), psoriatic arthritis (PsA), systemic sclerosis (SSc) and gout. Two additional systematic reviews were performed to identify original longitudinal studies on smoking and alcohol consumption and disease-specific outcomes.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Results\u003C\u002Fjats:title>\u003Cjats:p>Nine reviews and 65 original studies on smoking as well as two reviews and 14 original studies on alcohol consumption met the inclusion criteria. While most studies were moderate\u002Fpoor quality, smoking was significantly associated with poorer outcomes: cardiovascular comorbidity; poorer response to RA treatment; higher disease activity and severity in early RA; axSpA radiographic progression. Results were heterogeneous for OA while there was limited evidence for PsA, SSc and gout. Available studies on alcohol mainly focused on RA, reporting a positive association between alcohol intake and radiographic progression. Five studies assessed alcohol consumption in gout, reporting a significant association between the number and type of alcoholic beverages and the occurrence of flares.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Conclusion\u003C\u002Fjats:title>\u003Cjats:p>Current literature supports that smoking has a negative impact on several RMD-specific outcomes and that moderate or high alcohol consumption is associated with increased risk of flares in RA and gout.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>",{"EN":2362},"Smoking, alcohol consumption and disease-specific outcomes in rheumatic and musculoskeletal diseases (RMDs): systematic reviews informing the 2021 EULAR recommendations for lifestyle improvements in people with RMDs",{"VOID":2364},"35351808",{"VOID":2366},"10.1136\u002Frmdopen-2021-002170",[114],"https:\u002F\u002Frmdopen.bmj.com\u002Flookup\u002Fdoi\u002F10.1136\u002Frmdopen-2021-002170",[2370,2394,2410,2425,2441,2471,2495,2511,2526,2550,2582,2598,2618,2642,2658,2682,2698,2714,2738,2766],{"id":2371,"sortIndex":24,"researcher":23,"roles":2372,"affiliations":2373,"properties":2390,"displayName":187,"givenName":23,"familyName":23},"176b7536-7565-494c-bda1-13c9e54d6e8b",[],[2374,2382],{"id":2375,"sortIndex":24,"affiliation":2376,"properties":23},"5e4ca078-7a67-41c4-97c5-2a83fbe6be3f",{"id":2375,"createTime":23,"updateTime":23,"relativeEntities":2377,"slug":23,"properties":2378,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2381,"statistic":23},[],{"title":2379},{"EN":2380},"Centre on Aging and Mobility, University Hospital Zurich, Zurich City Hospital - Waid and University of Zurich, Zurich, Switzerland",[],{"id":2383,"sortIndex":131,"affiliation":2384,"properties":23},"62095d94-aae1-4a91-8b8d-cca2fb37efa9",{"id":2383,"createTime":23,"updateTime":23,"relativeEntities":2385,"slug":23,"properties":2386,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2389,"statistic":23},[],{"title":2387},{"VI":2388},"EA4360 Apemac, University of Lorraine, Vandoeuvre-lès-Nancy, France",[],{"orcid":2391,"title":2392,"openalex":2393},{"VOID":185},{"EN":187},{"VOID":189},{"id":2395,"sortIndex":131,"researcher":23,"roles":2396,"affiliations":2397,"properties":2406,"displayName":142,"givenName":23,"familyName":23},"d0fa7eb8-005b-4b18-99f3-2e8f482a905b",[],[2398],{"id":2399,"sortIndex":24,"affiliation":2400,"properties":23},"bfa16b8f-dcc4-477d-bbdc-89a590478e84",{"id":2399,"createTime":23,"updateTime":23,"relativeEntities":2401,"slug":23,"properties":2402,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2405,"statistic":23},[],{"title":2403},{"VI":2404},"Centre for Epidemiology Versus Arthritis, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK",[],{"orcid":2407,"title":2408,"openalex":2409},{"VOID":140},{"EN":142},{"VOID":144},{"id":2411,"sortIndex":167,"researcher":23,"roles":2412,"affiliations":2413,"properties":2420,"displayName":2422,"givenName":23,"familyName":23},"548e85da-9dba-469c-997a-da8c32e66103",[],[2414],{"id":2383,"sortIndex":24,"affiliation":2415,"properties":23},{"id":2383,"createTime":23,"updateTime":23,"relativeEntities":2416,"slug":23,"properties":2417,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2419,"statistic":23},[],{"title":2418},{"VI":2388},[],{"title":2421,"openalex":2423},{"EN":2422},"Maxime Ransay-Colle",{"VOID":2424},"A5087622239",{"id":2426,"sortIndex":176,"researcher":23,"roles":2427,"affiliations":2428,"properties":2437,"displayName":241,"givenName":23,"familyName":23},"97be9bc2-8bb3-4f64-94b6-39d0e83bb8a3",[],[2429],{"id":2430,"sortIndex":24,"affiliation":2431,"properties":23},"f88b587e-8004-44cd-b3c3-025b65ad7b58",{"id":2430,"createTime":23,"updateTime":23,"relativeEntities":2432,"slug":23,"properties":2433,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2436,"statistic":23},[],{"title":2434},{"EN":2435},"Department of Internal Medicine and Rheumatology, \"Sf. 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obstructive lung disease in rheumatoid arthritis: a population-based study, Arthritis Care Res, 65, 1243, 10.1002\u002Facr.21986",{"doi":2969},"10.1002\u002Facr.21986",{"id":23,"text":2971,"url":23,"identifiers":2972},"van der Heijde, 1999, How to read radiographs according to the Sharp\u002Fvan Der Heijde method, J Rheumatol, 26, 743",{},{"id":23,"text":2007,"url":23,"identifiers":2974},{"doi":2009},{"id":23,"text":2976,"url":23,"identifiers":2977},"Quintana-Duque, 2017, The impact of smoking on disease activity, disability, and radiographic damage in rheumatoid arthritis: is cigarette protective?, Rheumatol Int, 37, 2065, 10.1007\u002Fs00296-017-3845-8",{"doi":2978},"10.1007\u002Fs00296-017-3845-8",{"id":23,"text":2191,"url":23,"identifiers":2980},{"doi":2191},{"id":23,"text":2982,"url":23,"identifiers":2983},"10.1002\u002Fart.23650",{"doi":2982},{"id":23,"text":2985,"url":23,"identifiers":2986},"Miyake, 2009, Bisphosphonate increases risk of gastroduodenal ulcer in rheumatoid arthritis patients on long-term nonsteroidal antiinflammatory drug therapy, J Gastroenterol, 44, 113, 10.1007\u002Fs00535-008-2278-2",{"doi":2987},"10.1007\u002Fs00535-008-2278-2",{"id":23,"text":2989,"url":23,"identifiers":2990},"10.1136\u002Frmdopen-2017-000506",{"doi":2989},{"id":23,"text":2992,"url":23,"identifiers":2993},"Mantel, 2015, Risk factors for the rapid increase in risk of acute coronary events in patients with new-onset rheumatoid arthritis: a nested case-control study, Arthritis Rheumatol, 67, 2845, 10.1002\u002Fart.39267",{"doi":2994},"10.1002\u002Fart.39267",{"id":23,"text":2996,"url":23,"identifiers":2997},"Kim, 2018, Passive smoking is responsible for disease activity in female patients with rheumatoid arthritis, Arch Rheumatol, 33, 143, 10.5606\u002FArchRheumatol.2018.6468",{"doi":2998},"10.5606\u002FArchRheumatol.2018.6468",{"id":23,"text":3000,"url":23,"identifiers":3001},"10.1136\u002Fannrheumdis-2012-201698",{"doi":3000},{"id":23,"text":1430,"url":23,"identifiers":3003},{"doi":1432},{"id":23,"text":3005,"url":23,"identifiers":3006},"Rodríguez Huerta, 2016, Healthy lifestyle habits for patients with systemic lupus erythematosus: a systemic review, Semin Arthritis Rheum, 45, 463, 10.1016\u002Fj.semarthrit.2015.09.003",{"doi":3007},"10.1016\u002Fj.semarthrit.2015.09.003",{"id":23,"text":3009,"url":23,"identifiers":3010},"Montes, 2016, Smoking and its association with morbidity in systemic lupus erythematosus evaluated by the systemic lupus international collaborating Clinics\u002FAmerican College of rheumatology damage index: preliminary data and systematic review, Arthritis Rheumatol, 68, 441, 10.1002\u002Fart.39427",{"doi":3011},"10.1002\u002Fart.39427",{"id":23,"text":3013,"url":23,"identifiers":3014},"10.3899\u002Fjrheum.150985",{"doi":3013},{"id":23,"text":3016,"url":23,"identifiers":3017},"10.3899\u002Fjrheum.170652",{"doi":3016},{"id":23,"text":3019,"url":23,"identifiers":3020},"10.1093\u002Frheumatology\u002Fkei014",{"doi":3019},{"id":23,"text":3022,"url":23,"identifiers":3023},"10.1093\u002Frheumatology\u002Fkeq140",{"doi":3022},{"id":23,"text":3025,"url":23,"identifiers":3026},"10.1002\u002Fart.20622",{"doi":3025},{"id":23,"text":3028,"url":23,"identifiers":3029},"10.1002\u002Fart.21787",{"doi":3028},{"id":23,"text":3031,"url":23,"identifiers":3032},"10.1177\u002F0961203309104862",{"doi":3031},{"id":23,"text":3034,"url":23,"identifiers":3035},"Dey, 2018, Predictors of fracture risk in patients with systemic lupus erythematosus, Lupus, 27, 1547, 10.1177\u002F0961203318768886",{"doi":3036},"10.1177\u002F0961203318768886",{"id":23,"text":3038,"url":23,"identifiers":3039},"10.1136\u002Flupus-2015-000143",{"doi":3038},{"id":23,"text":3041,"url":23,"identifiers":3042},"10.1177\u002F0961203311425524",{"doi":3041},{"id":23,"text":3044,"url":23,"identifiers":3045},"10.1002\u002Facr.20426",{"doi":3044},{"id":23,"text":3047,"url":23,"identifiers":3048},"10.3899\u002Fjrheum.090403",{"doi":3047},{"id":23,"text":2220,"url":23,"identifiers":3050},{"doi":2220},{"id":23,"text":3052,"url":23,"identifiers":3053},"10.1186\u002Far2878",{"doi":3052},{"id":23,"text":3055,"url":23,"identifiers":3056},"Enomoto, 2019, Analysis of systemic lupus erythematosus-related interstitial pneumonia: a retrospective multicentre study, Sci Rep, 9, 10.1038\u002Fs41598-019-43782-7",{"doi":3057},"10.1038\u002Fs41598-019-43782-7",{"id":23,"text":3059,"url":23,"identifiers":3060},"Rúa-Figueroa, 2017, Incidence, associated factors and clinical impact of severe infections in a large, multicentric cohort of patients with systemic lupus erythematosus, Semin Arthritis Rheum, 47, 38, 10.1016\u002Fj.semarthrit.2017.01.010",{"doi":3061},"10.1016\u002Fj.semarthrit.2017.01.010",{"id":23,"text":3063,"url":23,"identifiers":3064},"10.1136\u002Fard.2006.069039",{"doi":3063},{"id":23,"text":1508,"url":23,"identifiers":3066},{},{"id":23,"text":3068,"url":23,"identifiers":3069},"Deminger, 2018, A five-year prospective study of spinal radiographic progression and its predictors in men and women with ankylosing spondylitis, Arthritis Res Ther, 20, 162, 10.1186\u002Fs13075-018-1665-1",{"doi":3070},"10.1186\u002Fs13075-018-1665-1",{"id":23,"text":2239,"url":23,"identifiers":3072},{"doi":2241},{"id":23,"text":3074,"url":23,"identifiers":3075},"10.1002\u002Fart.33465",{"doi":3074},{"id":23,"text":3077,"url":23,"identifiers":3078},"Wendling, 2017, Remission is related to CRP and smoking in early axial spondyloarthritis. The DESIR cohort, Joint Bone Spine, 84, 473, 10.1016\u002Fj.jbspin.2016.06.004",{"doi":3079},"10.1016\u002Fj.jbspin.2016.06.004",{"id":23,"text":3081,"url":23,"identifiers":3082},"Ward, 2001, Risk factors for work disability in patients with ankylosing spondylitis, J Rheumatol, 28, 315",{},{"id":23,"text":3084,"url":23,"identifiers":3085},"10.1136\u002Fannrheumdis-2012-202608",{"doi":3084},{"id":23,"text":3087,"url":23,"identifiers":3088},"10.1002\u002Facr.20336",{"doi":3087},{"id":23,"text":3090,"url":23,"identifiers":3091},"Kwakkenbos, 2018, The association of sociodemographic and disease variables with hand function: a scleroderma patient-centered intervention network cohort study, Clin Exp Rheumatol, 36 Suppl 113, 88",{},{"id":23,"text":2314,"url":23,"identifiers":3093},{"doi":2316},{"id":23,"text":2322,"url":23,"identifiers":3095},{},{"id":23,"text":3097,"url":23,"identifiers":3098},"10.1136\u002Fbmjopen-2015-010725",{"doi":3097},{"id":23,"text":3100,"url":23,"identifiers":3101},"Sageloli, 2018, Moderate alcohol consumption is associated with increased radiological progression in women, but not in men, with early rheumatoid arthritis: results from the ESPOIR cohort (Étude et Suivi des Polyarthrites Indifférenciées Récentes), Scand J Rheumatol, 47, 440, 10.1080\u002F03009742.2018.1437216",{"doi":3102},"10.1080\u002F03009742.2018.1437216",{"id":23,"text":3104,"url":23,"identifiers":3105},"10.1002\u002Fart.27388",{"doi":3104},{"id":23,"text":3107,"url":23,"identifiers":3108},"10.3899\u002Fjrheum.121325",{"doi":3107},{"id":23,"text":3110,"url":23,"identifiers":3111},"10.1136\u002Fannrheumdis-2016-210629",{"doi":3110},{"id":23,"text":3113,"url":23,"identifiers":3114},"Kim, 2008, Anti-Cyclic citrullinated peptide antibody, smoking, alcohol consumption, and disease duration as risk factors for extraarticular manifestations in Korean patients with rheumatoid arthritis, J Rheumatol, 35, 995",{},{"id":23,"text":3116,"url":23,"identifiers":3117},"10.1177\u002F09612033070160040201",{"doi":3116},{"id":23,"text":3119,"url":23,"identifiers":3120},"Nielsen, 2018, Nutritional recommendations for gout: an update from clinical epidemiology, Autoimmun Rev, 17, 1090, 10.1016\u002Fj.autrev.2018.05.008",{"doi":3121},"10.1016\u002Fj.autrev.2018.05.008",{"id":23,"text":3123,"url":23,"identifiers":3124},"Vandenberg, 1994, Gout attacks in chronic alcoholics occur at lower serum urate levels than in nonalcoholics, J Rheumatol, 21, 700",{},{"id":23,"text":3126,"url":23,"identifiers":3127},"Hanvivadhanakul, 2015, Outcome of treatment in gouty arthritis patients: a retrospective study, J Med Assoc Thai, 98 Suppl 3, S46",{},{"id":23,"text":3129,"url":23,"identifiers":3130},"10.1016\u002Fj.amjmed.2013.12.019",{"doi":3129},{"id":23,"text":3132,"url":23,"identifiers":3133},"10.1016\u002FS0140-6736(09)60008-8",{"doi":3132},{"id":23,"text":3135,"url":23,"identifiers":3136},"Bugatti, 2018, The clinical value of autoantibodies in rheumatoid arthritis, Front Med, 5, 339, 10.3389\u002Ffmed.2018.00339",{"doi":3137},"10.3389\u002Ffmed.2018.00339",{"id":23,"text":3139,"url":23,"identifiers":3140},"10.1038\u002Fnrrheum.2014.36",{"doi":3139},{"id":23,"text":3142,"url":23,"identifiers":3143},"10.1084\u002Fjem.20040463",{"doi":3142},{"id":23,"text":3145,"url":23,"identifiers":3146},"10.1136\u002Fannrheumdis-2020-eular.1751",{"doi":3145},{"id":23,"text":3148,"url":23,"identifiers":3149},"Einarsson, 2019, Prevalence of sustained remission in rheumatoid arthritis: impact of criteria sets and disease duration, a nationwide study in Sweden, Rheumatology, 58, 227, 10.1093\u002Frheumatology\u002Fkey054",{"doi":3150},"10.1093\u002Frheumatology\u002Fkey054",{"id":23,"text":3152,"url":23,"identifiers":3153},"Harris H . SP0089 consequences of smoking cessation in rheumatology. Ann Rheum Dis 2019;78:26.",{"doi":3154},"10.1136\u002Fannrheumdis-2019-eular.8493",{"id":23,"text":3156,"url":23,"identifiers":3157},"Wattiaux, 2020, Patient perspectives on smoking cessation and interventions in rheumatology clinics, Arthritis Care Res, 72, 369, 10.1002\u002Facr.23858",{"doi":3158},"10.1002\u002Facr.23858",{"id":23,"text":3160,"url":23,"identifiers":3161},"Roelsgaard, 2019, Smoking cessation intervention for reducing disease activity in chronic autoimmune inflammatory joint diseases, Cochrane Database Syst Rev, 9, CD012958",{},{"id":23,"text":3163,"url":23,"identifiers":3164},"Sudhinaraset, 2016, Social and cultural contexts of alcohol use: influences in a Social-Ecological framework, Alcohol Res, 38, 35",{},{"id":23,"text":3166,"url":23,"identifiers":3167},"10.1016\u002Fj.biopha.2003.12.003",{"doi":3166},{"id":3169,"createTime":3170,"updateTime":3170,"relativeEntities":3171,"slug":3172,"properties":3173,"entityType":110,"verifyStatus":22,"verifyTime":3170,"verifyNote":3184,"languages":3185,"translateLanguages":23,"viewCount":24,"primaryUrl":3186,"fullTextUrl":23,"authors":3187,"publicationType":812,"publisherRelationship":3401,"citationCount":638,"citationInfo":3449,"publishDate":3451,"publishYear":863,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":3452,"openAccess":23,"references":3453,"isForceReanalyzing":2350},"f7073f6a-cd2f-4375-ba42-fc5b08533e36","2024-11-29T20:49:55.458+00:00",[],"Therapeutic-drug-monitoring-of-biopharmaceuticals-in-inflammatory-rheumatic-and-musculoskeletal-disease-a-systematic-literature-review-informing-EULAR-points-to-consider",{"openalex":3174,"abstract":3176,"title":3178,"pm":3180,"doi":3182},{"VOID":3175},"W4281666300",{"EN":3177},"\u003Cjats:p>The objectives of this review were to collect and summarise evidence on therapeutic drug monitoring (TDM) of biopharmaceuticals in inflammatory rheumatic and musculoskeletal diseases and to inform the EULAR Task Force for the formulation of evidence-based points to consider. A systematic literature review (SLR) was performed, covering technical aspects and (clinical) utility of TDM, to answer 13 research questions. MEDLINE, Embase and Cochrane were searched until July 2020. American College of Rheumatology and EULAR abstracts were also considered for inclusion. Data were extracted in evidence tables and risk of bias assessment was performed. For the search on technical aspects, 678 records were identified, of which 22 papers were selected. For the clinical utility search, 3846 records were identified, of which 108 papers were included. Patient-related factors associated with biopharmaceutical blood concentrations included body weight, methotrexate comedication and disease activity. The identification of a target range was hampered by study variability, mainly disease activity measures and study type. Evidence was inconsistent for multiple clinical situations in which TDM is currently applied. However, for some particular scenarios, including prediction of future treatment response, non-response to treatment, tapering and hypersensitivity reactions, robust evidence was found. There is currently no evidence for routine use of proactive TDM, in part because published cost-effectiveness analyses do not incorporate the current landscape of biopharmaceutical costs and usage. This SLR yields evidence in favour of TDM of biopharmaceuticals in some clinical scenarios, but evidence is insufficient to support implementation of routine use of TDM.\u003C\u002Fjats:p>",{"EN":3179},"Therapeutic drug monitoring of biopharmaceuticals in inflammatory rheumatic and musculoskeletal disease: a systematic literature review informing EULAR points to consider",{"VOID":3181},"35980738",{"VOID":3183},"10.1136\u002Frmdopen-2022-002216","Author affiliation is blank",[114],"https:\u002F\u002Frmdopen.bmj.com\u002Flookup\u002Fdoi\u002F10.1136\u002Frmdopen-2022-002216",[3188,3207,3226,3245,3262,3281,3308,3327,3344,3363,3374],{"id":3189,"sortIndex":24,"researcher":23,"roles":3190,"affiliations":3191,"properties":3200,"displayName":3204,"givenName":23,"familyName":23},"4153f4b0-6a14-496e-9ca0-46c44d548adc",[],[3192],{"id":3193,"sortIndex":24,"affiliation":3194,"properties":23},"114e414e-cde0-4aa1-ade4-a4b7ff813f60",{"id":3193,"createTime":23,"updateTime":23,"relativeEntities":3195,"slug":23,"properties":3196,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":3199,"statistic":23},[],{"title":3197},{"VI":3198},"Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, Reade, Amsterdam, The Netherlands",[],{"orcid":3201,"title":3203,"openalex":3205},{"VOID":3202},"https:\u002F\u002Forcid.org\u002F0000-0001-6591-7838",{"EN":3204},"C. 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Therapeutic monitoring of TNF-alpha inhibitors in rheumatoid arthritis, 2019.",{},{"id":23,"text":3975,"url":23,"identifiers":3976},"Gavan SP , Daker-White, K G , Payne AB . Barriers against testing anti-TNF drug levels and anti-drug antibodies in routine clinical practice. Ann Rheum Dis 2018;77:A1726.",{"doi":3977},"10.1136\u002Fannrheumdis-2018-eular.5285",{"id":23,"text":3979,"url":23,"identifiers":3980},"Perry ME . Significant overtreatment with biological drugs is common in routine care for patients where serum drug levels are monitored. Ann Rheum Dis 2018;77:A958.",{"doi":3981},"10.1136\u002Fannrheumdis-2018-eular.2315",{"id":23,"text":3983,"url":23,"identifiers":3984},"Syversen, 2021, Effect of therapeutic drug monitoring vs standard therapy during infliximab induction on disease remission in patients with chronic immune-mediated inflammatory diseases: a randomized clinical trial, JAMA, 325, 1744, 10.1001\u002Fjama.2021.4172",{"doi":3985},"10.1001\u002Fjama.2021.4172",{"id":23,"text":3987,"url":23,"identifiers":3988},"Syversen, 2021, Effect of therapeutic drug monitoring vs standard therapy during maintenance infliximab therapy on disease control in patients with immune-mediated inflammatory diseases: a randomized clinical trial, JAMA, 326, 2375, 10.1001\u002Fjama.2021.21316",{"doi":3989},"10.1001\u002Fjama.2021.21316",{"id":23,"text":3991,"url":23,"identifiers":3992},"Krieckaert CLM , van Tubergen A , Gehin JE . EULAR points to consider for therapeutic drug monitoring of biopharmaceuticals in inflammatory rheumatic and musculoskeletal diseases.",{},{"id":3994,"createTime":3995,"updateTime":3995,"relativeEntities":3996,"slug":3997,"properties":3998,"entityType":110,"verifyStatus":111,"verifyTime":4013,"verifyNote":112,"languages":4014,"translateLanguages":23,"viewCount":24,"primaryUrl":4015,"fullTextUrl":23,"authors":4016,"publicationType":812,"publisherRelationship":4735,"citationCount":4783,"citationInfo":4784,"publishDate":4787,"publishYear":4785,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":4788,"openAccess":23,"references":4789,"isForceReanalyzing":2350},"27f83313-8d7f-4e70-8e2c-dee0339d5b27","2024-10-14T03:18:15.359+00:00",[],"EULAR-ACR-classification-criteria-for-adult-and-juvenile-idiopathic-inflammatory-myopathies-and-their-major-subgroups-a-methodology-report",{"mag":3999,"pmc":4001,"openalex":4003,"abstract":4005,"title":4007,"pm":4009,"doi":4011},{"VOID":4000},"2765099479",{"VOID":4002},"5687535",{"VOID":4004},"W2765099479",{"EN":4006},"\u003Cjats:sec>\u003Cjats:title>Objective\u003C\u002Fjats:title>\u003Cjats:p>To describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Methods\u003C\u002Fjats:title>\u003Cjats:p>An international, multidisciplinary group of myositis experts produced a set of 93 potentially relevant variables to be tested for inclusion in the criteria. Rheumatology, dermatology, neurology and paediatric clinics worldwide collected data on 976 IIM cases (74% adults, 26% children) and 624 non-IIM comparator cases with mimicking conditions (82% adults, 18% children). The participating clinicians classified each case as IIM or non-IIM. Generally, the classification of any given patient was based on few variables, leaving remaining variables unmeasured. We investigated the strength of the association between all variables and between these and the disease status as determined by the physician. We considered three approaches: (1) a probability-score approach, (2) a sum-of-items approach criteria and (3) a classification-tree approach.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Results\u003C\u002Fjats:title>\u003Cjats:p>The approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probability-score approach showed superior statistical performance and clinical practicability and was therefore preferred over the others. We developed a classification tree for subclassification of patients with IIM. A calculator for electronic devices, such as computers and smartphones, facilitates the use of the European League Against Rheumatism\u002FAmerican College of Rheumatology (EULAR\u002FACR) classification criteria.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Conclusions\u003C\u002Fjats:title>\u003Cjats:p>The new EULAR\u002FACR classification criteria provide a patient’s probability of having IIM for use in clinical and research settings. 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Dictionary of the rheumatic diseases 1985; vol II: diagnostic testing [monograph]. New York, NY: Contact Associates International Ltd, 1985.",{},{"id":23,"text":4855,"url":23,"identifiers":4856},"ARAGlossary Committee. Dictionary of the rheumatic diseases 1982; vol i: signs and symptoms [monograph]. 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The mentioned subgroups are characterised by inflammation of skeletal muscles leading to muscle weakness and other organs can also be affected as well. Even though clinically significant heart involvement is uncommon, heart disease is one of the major causes of death in IIM. Recent studies show an increased prevalence of traditional cardiovascular risk factors in JDM and DM\u002FPM, which need attention. The risk of developing atherosclerotic coronary artery disease is increased twofold to fourfold in DM\u002FPM. New and improved diagnostic methods have in recent studies in PM\u002FDM and JDM demonstrated a high prevalence of subclinical cardiac involvement, especially diastolic dysfunction. Interactions between proinflammatory cytokines and traditional risk factors might contribute to the pathogenesis of cardiac dysfunction. Heart involvement could also be related to myocarditis and\u002For myocardial fibrosis, leading to arrhythmias and congestive heart failure, demonstrated both in adult and juvenile IIM. Also, reduced heart rate variability (a known risk factor for cardiac morbidity and mortality) has been shown in long-standing JDM. Until more information is available, patients with IIM should follow the same recommendations for cardiovascular risk stratification and prevention as for the corresponding general population, but be aware that statins might worsen muscle symptoms mimicking myositis relapse. 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10.3109\u002F03009748509102049",{"doi":5212},"10.3109\u002F03009748509102049",{"id":23,"text":5214,"url":23,"identifiers":5215},"10.1177\u002F000331970605700319",{"doi":5214},{"id":23,"text":5217,"url":23,"identifiers":5218},"Sénéchal, 2006, Myocardial dysfunction in polymyositis, Can J Cardiol, 22, 869, 10.1016\u002FS0828-282X(06)70306-3",{"doi":5219},"10.1016\u002FS0828-282X(06)70306-3",{"id":23,"text":5221,"url":23,"identifiers":5222},"10.1378\u002Fchest.88.2.309",{"doi":5221},{"id":23,"text":5224,"url":23,"identifiers":5225},"10.1136\u002Fhrt.56.5.479",{"doi":5224},{"id":23,"text":5227,"url":23,"identifiers":5228},"Afzal, 1999, Heart transplant for dilated cardiomyopathy associated with polymyositis, Heart, 82, e4, 10.1136\u002Fhrt.82.4.e4",{"doi":5229},"10.1136\u002Fhrt.82.4.e4",{"id":23,"text":5231,"url":23,"identifiers":5232},"Mavrakanas, 2012, Severe mitral valve regurgitation in polymyositis, J Clin Rheumatol, 18, 367, 10.1097\u002FRHU.0b013e31826d1e2c",{"doi":5233},"10.1097\u002FRHU.0b013e31826d1e2c",{"id":23,"text":5235,"url":23,"identifiers":5236},"10.1016\u002Fj.ijcard.2013.04.185",{"doi":5235},{"id":23,"text":5238,"url":23,"identifiers":5239},"10.1016\u002Fj.ejheart.2005.02.003",{"doi":5238},{"id":23,"text":5241,"url":23,"identifiers":5242},"10.1161\u002F01.CIR.0000164273.57823.26",{"doi":5241},{"id":23,"text":5244,"url":23,"identifiers":5245},"10.1016\u002Fj.semarthrit.2014.03.004",{"doi":5244},{"id":23,"text":5247,"url":23,"identifiers":5248},"10.3899\u002Fjrheum.090061",{"doi":5247},{"id":23,"text":5250,"url":23,"identifiers":5251},"10.1111\u002Fbjd.12245",{"doi":5250},{"id":23,"text":5253,"url":23,"identifiers":5254},"10.1186\u002Far4135",{"doi":5253},{"id":23,"text":5256,"url":23,"identifiers":5257},"10.1093\u002Frheumatology\u002Fkev336",{"doi":5256},{"id":23,"text":5259,"url":23,"identifiers":5260},"Vincze, 2014, Decreased flow-mediated dilatation with increased arterial stiffness and 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Braunwald's heart disease: a textbook of cardiovascular medicine. 10th edn. Saunders, 2014.",{},{"id":23,"text":5303,"url":23,"identifiers":5304},"10.1136\u002Fannrheumdis-2014-206812",{"doi":5303},{"id":23,"text":5306,"url":23,"identifiers":5307},"10.1016\u002FS0140-6736(07)61778-4",{"doi":5306},{"id":23,"text":5309,"url":23,"identifiers":5310},"10.1136\u002Fard.2008.101964",{"doi":5309},{"id":23,"text":5312,"url":23,"identifiers":5313},"Amezaga, 2012, Lipid paradox in rheumatoid arthritis: changes with rheumatoid arthritis therapies, CurrRheumatolRep, 14, 428",{},{"id":23,"text":5315,"url":23,"identifiers":5316},"10.1159\u002F000338166",{"doi":5315},{"id":23,"text":5318,"url":23,"identifiers":5319},"10.1016\u002Fj.transproceed.2010.05.152",{"doi":5318},{"id":23,"text":5321,"url":23,"identifiers":5322},"10.1007\u002Fs13317-014-0060-4",{"doi":5321},{"id":23,"text":5324,"url":23,"identifiers":5325},"10.1097\u002FMD.0b013e31829d08f9",{"doi":5324},{"id":23,"text":5327,"url":23,"identifiers":5328},"10.1002\u002Fart.27572",{"doi":5327},{"id":23,"text":5330,"url":23,"identifiers":5331},"Charles-Schoeman, 2012, Treatment of dyslipidemia in idiopathic inflammatory myositis: results of the International Myositis Assessment and Clinical Studies Group survey, Clin Rheumatol, 31, 1163, 10.1007\u002Fs10067-012-1986-4",{"doi":5332},"10.1007\u002Fs10067-012-1986-4",{"id":23,"text":5334,"url":23,"identifiers":5335},"10.1016\u002Fj.jacc.2010.06.030",{"doi":5334},{"id":23,"text":5337,"url":23,"identifiers":5338},"Andrus, 2014, 2013 ACC\u002FAHA guideline on the assessment of cardiovascular risk, J Am Coll Cardiol, 63, 2886, 10.1016\u002Fj.jacc.2014.02.606",{"doi":5339},"10.1016\u002Fj.jacc.2014.02.606",{"id":23,"text":5341,"url":23,"identifiers":5342},"Jindal, 2012, Recurrent ventricular tachycardia in a child with juvenile dermatomyositis—an unusual association, Int J Rheum Dis, 15, e26, 10.1111\u002Fj.1756-185X.2012.01701.x",{"doi":5343},"10.1111\u002Fj.1756-185X.2012.01701.x",{"id":23,"text":5345,"url":23,"identifiers":5346},"10.1136\u002Fard.2005.038679",{"doi":5345},{"id":23,"text":5348,"url":23,"identifiers":5349},"10.1016\u002Fj.jbspin.2007.05.011",{"doi":5348},{"id":23,"text":5351,"url":23,"identifiers":5352},"Danieli, 2016, Cardiac involvement in polymyositis and dermatomyositis, Autoimmun Rev, 15, 462, 10.1016\u002Fj.autrev.2016.01.015",{"doi":5353},"10.1016\u002Fj.autrev.2016.01.015",{"id":23,"text":5355,"url":23,"identifiers":5356},"10.1016\u002FS0009-8981(01)00392-8",{"doi":5355},{"id":23,"text":5358,"url":23,"identifiers":5359},"10.3899\u002Fjrheum.090562",{"doi":5358},{"id":23,"text":5361,"url":23,"identifiers":5362},"10.1016\u002Fj.humpath.2005.06.009",{"doi":5361},{"id":23,"text":5364,"url":23,"identifiers":5365},"10.1007\u002Fs00415-009-5350-9",{"doi":5364},{"id":5367,"createTime":5368,"updateTime":5368,"relativeEntities":5369,"slug":5370,"properties":5371,"entityType":110,"verifyStatus":111,"verifyTime":5368,"verifyNote":112,"languages":5386,"translateLanguages":23,"viewCount":24,"primaryUrl":5387,"fullTextUrl":23,"authors":5388,"publicationType":812,"publisherRelationship":5529,"citationCount":5577,"citationInfo":5578,"publishDate":5582,"publishYear":5579,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":5583,"openAccess":23,"references":5584,"isForceReanalyzing":2350},"69f3e52f-e304-4cf6-9336-c9b24cfea438","2024-09-20T23:36:32.167+00:00",[],"Reactive-arthritis-after-COVID-19-infection",{"mag":5372,"pmc":5374,"openalex":5376,"abstract":5378,"title":5380,"pm":5382,"doi":5384},{"VOID":5373},"3048298195",{"VOID":5375},"7722270",{"VOID":5377},"W3048298195",{"EN":5379},"\u003Cjats:p>Reactive arthritis (ReA) is typically preceded by sexually transmitted disease or gastrointestinal infection. An association has also been reported with bacterial and viral respiratory infections. Herein, we report the first case of ReA after the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This male patient is in his 50s who was admitted with COVID-19 pneumonia. On the second day of admission, SARS-CoV-2 PCR was positive from nasopharyngeal swab specimen. Despite starting standard dose of favipiravir, his respiratory condition deteriorated during hospitalisation. On the fourth hospital day, he developed acute respiratory distress syndrome and was intubated. On day 11, he was successfully extubated, subsequently completing a 14-day course of favipiravir. On day 21, 1 day after starting physical therapy, he developed acute bilateral arthritis in his ankles, with mild enthesitis in his right Achilles tendon, without rash, conjunctivitis, or preceding diarrhoea or urethritis. Arthrocentesis of his left ankle revealed mild inflammatory fluid without monosodium urate or calcium pyrophosphate crystals. Culture of synovial fluid was negative. Plain X-rays of his ankles and feet showed no erosive changes or enthesophytes. Tests for syphilis, HIV, anti-streptolysin O (ASO),\u003Cjats:italic>Mycoplasma, Chlamydia pneumoniae\u003C\u002Fjats:italic>, antinuclear antibody, rheumatoid factor, anticyclic citrullinated peptide antibody and Human Leukocyte Antigen-B27 (HLA-B27) were negative. Gonococcal and\u003Cjats:italic>Chlamydia trachomatis\u003C\u002Fjats:italic>urine PCR were also negative. He was diagnosed with ReA. Nonsteroidal Anti-Inflammatory Drug (NSAID)s and intra-articular corticosteroid injection resulted in moderate improvement.\u003C\u002Fjats:p>",{"EN":5381},"Reactive arthritis after COVID-19 infection",{"VOID":5383},"32763956",{"VOID":5385},"10.1136\u002Frmdopen-2020-001350",[114],"https:\u002F\u002Frmdopen.bmj.com\u002Flookup\u002Fdoi\u002F10.1136\u002Frmdopen-2020-001350",[5389,5408,5425,5444,5459,5476,5495,5512],{"id":5390,"sortIndex":24,"researcher":23,"roles":5391,"affiliations":5392,"properties":5401,"displayName":5405,"givenName":23,"familyName":23},"af80ac57-d9a1-4e08-8e2b-f88e20abe734",[],[5393],{"id":5394,"sortIndex":24,"affiliation":5395,"properties":23},"d1f9a9d2-b139-4ac4-b527-beb8ad2b7086",{"id":5394,"createTime":23,"updateTime":23,"relativeEntities":5396,"slug":23,"properties":5397,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":5400,"statistic":23},[],{"title":5398},{"EN":5399},"Department of Nephrology and Rheumatology, Kyorin University School of Medicine, Shinkawa, Mitaka-shi, Tokyo, 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development of standardised methods for ultrasound (US) scanning and evaluation of synovitis activity by the OMERACT-EULAR Synovitis Scoring (OESS) system is a major step forward in the use of US in the diagnosis and monitoring of patients with inflammatory arthritis. The variation in interpretation of disease activity on US images can affect diagnosis, treatment and outcomes in clinical trials. We, therefore, set out to investigate if we could utilise neural network architecture for the interpretation of disease activity on Doppler US images, using the OESS scoring system.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Methods\u003C\u002Fjats:title>\u003Cjats:p>Two state-of-the-art neural networks were used to extract information from 1342 Doppler US images from patients with rheumatoid arthritis (RA). One neural network divided images as either healthy (Doppler OESS score 0 or 1) or diseased (Doppler OESS score 2 or 3). The other to score images across all four of the OESS systems Doppler US scores (0–3). The neural networks were hereafter tested on a new set of RA Doppler US images (n=176). Agreement between rheumatologist’s scores and network scores was measured with the kappa statistic.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Results\u003C\u002Fjats:title>\u003Cjats:p>For the neural network assessing healthy\u002Fdiseased score, the highest accuracies compared with an expert rheumatologist were 86.4% and 86.9% with a sensitivity of 0.864 and 0.875 and specificity of 0.864 and 0.864, respectively. The other neural network developed to four class Doppler OESS scoring achieved an average per class accuracy of 75.0% and a quadratically weighted kappa score of 0.84.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Conclusion\u003C\u002Fjats:title>\u003Cjats:p>This study is the first to show that neural network technology can be used in the scoring of disease activity on Doppler US images according to the OESS system.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>",{"EN":5641},"Neural networks for automatic scoring of arthritis disease activity on ultrasound images",{"VOID":5643},"30997154",{"VOID":5645},"10.1136\u002Frmdopen-2018-000891",[114],"https:\u002F\u002Frmdopen.bmj.com\u002Flookup\u002Fdoi\u002F10.1136\u002Frmdopen-2018-000891",[5649,5668,5685,5702,5717,5744,5761],{"id":5650,"sortIndex":24,"researcher":23,"roles":5651,"affiliations":5652,"properties":5661,"displayName":5665,"givenName":23,"familyName":23},"53652f5c-df16-4561-9b3b-d9bdae351f7d",[],[5653],{"id":5654,"sortIndex":24,"affiliation":5655,"properties":23},"b0c598a2-7d56-46d1-a892-b8bb278aafad",{"id":5654,"createTime":23,"updateTime":23,"relativeEntities":5656,"slug":23,"properties":5657,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":5660,"statistic":23},[],{"title":5658},{"EN":5659},"The Maersk Mc-Kinney Moller Institute, Syddansk Universitet",[],{"orcid":5662,"title":5664,"openalex":5666},{"VOID":5663},"https:\u002F\u002Forcid.org\u002F0000-0003-3238-868X",{"EN":5665},"J Andersen",{"VOID":5667},"A5066567815",{"id":5669,"sortIndex":131,"researcher":23,"roles":5670,"affiliations":5671,"properties":5678,"displayName":5682,"givenName":23,"familyName":23},"dfbe0e6c-6ef4-40e1-b2bd-51333939317d",[],[5672],{"id":5654,"sortIndex":24,"affiliation":5673,"properties":23},{"id":5654,"createTime":23,"updateTime":23,"relativeEntities":5674,"slug":23,"properties":5675,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":5677,"statistic":23},[],{"title":5676},{"EN":5659},[],{"orcid":5679,"title":5681,"openalex":5683},{"VOID":5680},"https:\u002F\u002Forcid.org\u002F0000-0002-7066-1563",{"EN":5682},"Jannik S. 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RMD Open 2017;3.doi:10.1136\u002Frmdopen-2016-000427",{"doi":5845},{"id":23,"text":5865,"url":23,"identifiers":5866},"10.1136\u002Fard.2011.152926",{"doi":5865},{"id":23,"text":5868,"url":23,"identifiers":5869},"10.1007\u002Fs11263-015-0816-y",{"doi":5868},{"id":23,"text":5871,"url":23,"identifiers":5872},"10.1038\u002Fnature14539",{"doi":5871},{"id":23,"text":5874,"url":23,"identifiers":5875},"Torp-Pedersen, 2015, Power and color Doppler ultrasound settings for inflammatory flow: impact on scoring of disease activity in patients with rheumatoid arthritis, Arthritis Rheumatol, 67, 386, 10.1002\u002Fart.38940",{"doi":5876},"10.1002\u002Fart.38940",{"id":23,"text":5878,"url":23,"identifiers":5879},"Chollet F . Keras, 2015. Available: https:\u002F\u002Fkeras.io",{},{"id":23,"text":5881,"url":23,"identifiers":5882},"OSDI . TensorFlow: a system for large-scale machine learning, 2016.",{},{"id":23,"text":5884,"url":23,"identifiers":5885},"Simonyan K , Zisserman A . Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv 2014;14091556.",{},{"id":23,"text":5887,"url":23,"identifiers":5888},"Rethinking the inception architecture for computer vision. Proceedings of the IEEE conference on computer vision and pattern recognition, 2016.",{},{"id":23,"text":5890,"url":23,"identifiers":5891},"10.1007\u002Fs10067-014-2841-6",{"doi":5890},{"id":23,"text":5893,"url":23,"identifiers":5894},"10.1002\u002Fart.22437",{"doi":5893},{"id":5896,"createTime":5897,"updateTime":5897,"relativeEntities":5898,"slug":5899,"properties":5900,"entityType":110,"verifyStatus":111,"verifyTime":5897,"verifyNote":112,"languages":5915,"translateLanguages":23,"viewCount":24,"primaryUrl":5916,"fullTextUrl":23,"authors":5917,"publicationType":812,"publisherRelationship":5945,"citationCount":5992,"citationInfo":5993,"publishDate":5995,"publishYear":5579,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":5996,"openAccess":23,"references":5997,"isForceReanalyzing":2350},"9c5f455c-e07f-4d2d-85db-229d91e8d120","2024-09-20T13:33:24.799+00:00",[],"Use-of-artificial-intelligence-in-imaging-in-rheumatology-current-status-and-future-perspectives",{"mag":5901,"pmc":5903,"openalex":5905,"abstract":5907,"title":5909,"pm":5911,"doi":5913},{"VOID":5902},"3002754827",{"VOID":5904},"6999690",{"VOID":5906},"W3002754827",{"EN":5908},"\u003Cjats:p>After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer programs to outperform human interpretation of medical images in very specific areas. After this shock wave that probably exceeds the impact of the first AI victory of defeating the world chess champion in 1997, some reflection may be appropriate on the consequences for clinical imaging in rheumatology. In this narrative review, a short explanation is given about the various AI techniques, including ‘deep learning’, and how these have been applied to rheumatological imaging, focussing on rheumatoid arthritis and systemic sclerosis as examples. By discussing the principle limitations of AI and deep learning, this review aims to give insight into possible future perspectives of AI applications in rheumatology.\u003C\u002Fjats:p>",{"EN":5910},"Use of artificial intelligence in imaging in rheumatology – current status and future perspectives",{"VOID":5912},"31958283",{"VOID":5914},"10.1136\u002Frmdopen-2019-001063",[114],"https:\u002F\u002Frmdopen.bmj.com\u002Flookup\u002Fdoi\u002F10.1136\u002Frmdopen-2019-001063",[5918],{"id":5919,"sortIndex":24,"researcher":23,"roles":5920,"affiliations":5921,"properties":5938,"displayName":5942,"givenName":23,"familyName":23},"df06c0c7-76a2-4a46-bdea-fe1c63561800",[],[5922,5930],{"id":5923,"sortIndex":24,"affiliation":5924,"properties":23},"fffa6a6a-3372-4ce3-8fe0-159f141214cd",{"id":5923,"createTime":23,"updateTime":23,"relativeEntities":5925,"slug":23,"properties":5926,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":5929,"statistic":23},[],{"title":5927},{"EN":5928},"LEIDEN UNIVERSITY (MEDICAL CENTER)",[],{"id":5931,"sortIndex":131,"affiliation":5932,"properties":23},"e7d9dea4-39cd-4cba-b5bf-65d691c252ca",{"id":5931,"createTime":23,"updateTime":23,"relativeEntities":5933,"slug":23,"properties":5934,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":5937,"statistic":23},[],{"title":5935},{"EN":5936},"Radiology, Division of Image Processing",[],{"orcid":5939,"title":5941,"openalex":5943},{"VOID":5940},"https:\u002F\u002Forcid.org\u002F0000-0002-5975-8559",{"EN":5942},"Berend C. Stoel",{"VOID":5944},"A5056059876",{"url":23,"publisher":5946,"properties":5987},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":5947,"slug":10,"properties":5948,"entityType":21,"verifyStatus":22,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":24,"subjectFields":5953,"manageAffiliations":5966,"indexDatabases":5972,"url":89,"thumbnailPath":23,"statistic":23,"gsStatistic":23,"type":23,"analyzePriority":23},[],{"country":5949,"eissn":5950,"issn":5951,"title":5952},{"VOID":13},{"VOID":15},{"VOID":15},{"EN":18},[5954,5958,5962],{"id":27,"createTime":23,"updateTime":23,"relativeEntities":5955,"label":5956,"description":5957,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":30},{},{"id":33,"createTime":23,"updateTime":23,"relativeEntities":5959,"label":5960,"description":5961,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":36},{},{"id":39,"createTime":23,"updateTime":23,"relativeEntities":5963,"label":5964,"description":5965,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":42},{},[5967],{"id":46,"createTime":23,"updateTime":23,"relativeEntities":5968,"slug":23,"properties":5969,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":5971,"statistic":23},[],{"title":5970},{"EN":50},[],[5973,5980],{"id":54,"indexDatabase":5974,"url":67,"indexYears":23,"academicFieldIds":5979,"indexDatabaseRanking":23},{"id":56,"createTime":23,"updateTime":23,"relativeEntities":5975,"label":5976,"description":5977,"key":63,"publicationTags":5978,"standard":23},[],{"EN":59,"VI":59},{"EN":61,"VI":62},[65,66],[69],{"id":71,"indexDatabase":5981,"url":82,"indexYears":83,"academicFieldIds":5986,"indexDatabaseRanking":88},{"id":73,"createTime":23,"updateTime":23,"relativeEntities":5982,"label":5983,"description":5984,"key":79,"publicationTags":5985,"standard":23},[],{"EN":76,"VI":76},{"EN":76,"VI":78},[81],[85,86,87],{"issue":5988,"pages":5989,"volume":5991},{"VOID":857},{"VOID":5990},"e001063",{"VOID":5576},62,{"total":5992,"publishYear":5579,"statisticByYear":5994},{"2020":167,"2021":532,"2022":4465,"2023":604,"2024":576},"2020-01-01",[65,88],[5998,6001,6005,6008,6011,6014,6017,6020,6023,6026,6029,6033,6036,6040,6044,6047,6050,6054,6057,6060,6064,6067,6070,6074,6077,6081,6085,6088,6092,6095,6098,6101,6104,6107,6111,6115,6119,6122,6126,6130,6134,6138,6142,6145,6148,6152,6156,6160,6164,6166],{"id":23,"text":5999,"url":23,"identifiers":6000},"10.1016\u002F0042-6989(65)90033-7",{"doi":5999},{"id":23,"text":6002,"url":23,"identifiers":6003},"Aizenberg, 2019, Automatic quantification of tenosynovitis on MRI of the wrist in patients with early arthritis: a feasibility study, Eur Radiol, 29, 4477, 10.1007\u002Fs00330-018-5807-2",{"doi":6004},"10.1007\u002Fs00330-018-5807-2",{"id":23,"text":6006,"url":23,"identifiers":6007},"Yosinski J , Clune J , Nguyen A , et al . 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