Bioelectrical Impedance Analysis and Body Composition in Cardiovascular Diseases
Tài liệu tham khảo
Cederholm, 2017, ESPEN guidelines on definitions and terminology of clinical nutrition, Clin Nutr, 36, 49, 10.1016/j.clnu.2016.09.004
Ward, 2019, Bioelectrical impedance analysis for body composition assessment: reflections on accuracy, clinical utility, and standardisation, Eur J Clin Nutr, 73, 194, 10.1038/s41430-018-0335-3
Kuriyan, 2018, Body composition techniques, Indian J Med Res, 148, 648, 10.4103/ijmr.IJMR_1777_18
Kuriyan, 1998, Validation of expedient methods for measuring body composition in Indian adults, Indian J Med Res, 107, 37
Lee, 2008, Assessment methods in human body composition, Curr Opin Clin Nutr Metab Care, 11, 566, 10.1097/MCO.0b013e32830b5f23
Qin, 2021, Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China, Sci Rep, 11, 11076, 10.1038/s41598-021-90641-5
Garlini, 2019, Safety and results of bioelectrical impedance analysis in patients with cardiac implantable electronic devices, Brazilian J Cardiovasc Surg, 35, 169
Roehrich, 2020, Safety of bioelectrical impedance analysis in advanced heart failure patients, Pacing Clin Electrophysiol, 43, 1078, 10.1111/pace.14018
Buch, 2012, Effect of bioimpedance body composition analysis on function of implanted cardiac devices, Pacing Clin Electrophysiol, 35, 681, 10.1111/j.1540-8159.2012.03377.x
Meyer, 2017, Safety of bioelectrical impedance analysis in patients equipped with implantable cardioverter defibrillators, J Parenter Enter Nutr, 41, 981, 10.1177/0148607116633823
Bosy-Westphal, 2006, Phase angle from bioelectrical impedance analysis: population reference values by age, sex, and body mass index, J Parenter Enter Nutr, 30, 309, 10.1177/0148607106030004309
Popiołek, 2019, Anthropometrical and bioelectrical impedance analysis parameters in anorexia nervosa patients’ nutritional status assessment, Med, 55, 671
Małecka-Massalska, 2017, Application of phase angle for evaluation of the nutrition status of patients with anorexia, Psychiatr Pol, 51, 1121, 10.12740/PP/67500
Langer, 2021, Phase angle measured by bioelectrical impedance analysis and the risk of cardiovascular disease among adult Danes, Nutrition, 89, 10.1016/j.nut.2021.111280
Portugal, 2020, Bioelectrical impedance analysis–derived phase angle is related to risk scores of a first cardiovascular event in adults, Nutrition, 78, 10.1016/j.nut.2020.110865
Saad, 2018, Phase angle measured by electrical bioimpedance and global cardiovascular risk in older adults, Geriatr Gerontol Int, 18, 732, 10.1111/ggi.13241
de Borba, 2022, Phase angle of bioimpedance at 50 kHz is associated with cardiovascular diseases: systematic review and meta-analysis, Eur J Clin Nutr, 76, 1366, 10.1038/s41430-022-01131-4
Castillo Martínez, 2007, Bioelectrical impedance and strength measurements in patients with heart failure: comparison with functional class, Nutrition, 23, 412, 10.1016/j.nut.2007.02.005
Sobieszek, 2019, Electrical changes in polish patients with chronic heart failure: preliminary observations, Medicina (B Aires), 55, 484, 10.3390/medicina55080484
Colín-Ramírez, 2012, Bioelectrical impedance phase angle as a prognostic marker in chronic heart failure, Nutrition, 28, 901, 10.1016/j.nut.2011.11.033
Massari, 2016, Accuracy of bioimpedance vector analysis and brain natriuretic peptide in detection of peripheral edema in acute and chronic heart failure, Hear Lung, 45, 319, 10.1016/j.hrtlng.2016.03.008
Scicchitano, 2022, Respiratory failure and bioelectrical phase angle are independent predictors for long-term survival in acute heart failure, Scand Cardiovasc J, 56, 28, 10.1080/14017431.2022.2060527
Alves, 2016, Prognostic role of phase angle in hospitalized patients with acute decompensated heart failure, Clin Nutr, 35, 1530, 10.1016/j.clnu.2016.04.007
Alves, 2015, Dynamic changes in bioelectrical impedance vector analysis and phase angle in acute decompensated heart failure, Nutrition, 31, 84, 10.1016/j.nut.2014.05.004
De Ieso, 2021, Body composition analysis in patients with acute heart failure: the Scale Heart Failure trial, ESC Hear Fail, 8, 4593, 10.1002/ehf2.13641
Garlini, 2019, Phase angle and mortality: a systematic review, Eur J Clin Nutr, 73, 495, 10.1038/s41430-018-0159-1
Queiroz, 2022, Is the standardized phase angle a predictor of short- and long-term adverse cardiovascular events in patients with acute myocardial infarction? A cohort study, Nutrition, 103-104, 10.1016/j.nut.2022.111774
Ringaitiene, 2018, Concordance of the new ESPEN criteria with low phase angle in defining early stages of malnutrition in cardiac surgery, Clin Nutr, 37, 1596, 10.1016/j.clnu.2017.08.007
Ringaitiene, 2016, Malnutrition assessed by phase angle determines outcomes in low-risk cardiac surgery patients, Clin Nutr, 35, 1328, 10.1016/j.clnu.2016.02.010
Visser, 2012, The bioelectrical impedance phase angle as an indicator of undernutrition and adverse clinical outcome in cardiac surgical patients, Clin Nutr, 31, 981, 10.1016/j.clnu.2012.05.002
Morisawa, 2021, Association of phase angle with hospital-acquired functional decline in older patients undergoing cardiovascular surgery, Nutrition, 91-92, 10.1016/j.nut.2021.111402
World Health Organization. World Health Organization. BMI Classification. Global Database on Body Mass Index 2006. Available at: http://www.who.int/bmi/index.jsp?introPage=intro_3.html (accessed April 1, 2019).
Popiolek-Kalisz, 2022, The impact of dietary flavonols on central obesity parameters in Polish adults, Nutrients, 14, 5051, 10.3390/nu14235051
Popiolek-Kalisz, 2022, The impact of flavonols on cardiovascular risk, Nutrients, 14, 1973, 10.3390/nu14091973
Byambasukh, 2019, Body fat estimates from bioelectrical impedance equations in cardiovascular risk assessment: The PREVEND cohort study, Eur J Prev Cardiol, 26, 905, 10.1177/2047487319833283
Diemer, 2019, Body composition measures and cardiovascular risk in high-risk ethnic groups, Clin Nutr, 38, 450, 10.1016/j.clnu.2017.11.012
Omura-Ohata, 2019, Efficacy of visceral fat estimation by dual bioelectrical impedance analysis in detecting cardiovascular risk factors in patients with type 2 diabetes, Cardiovasc Diabetol, 18, 137, 10.1186/s12933-019-0941-y
Katchunga, 2015, Bioelectrical impedance outperforms waist circumference for predicting cardiometabolic risk in Congolese hypertensive subjects: a cross-sectional study, BMC Cardiovasc Disord, 15, 17, 10.1186/s12872-015-0011-7
Yamashita, 2012, The significance of measuring body fat percentage determined by bioelectrical impedance analysis for detecting subjects with cardiovascular disease risk factors, Circ J, 76, 2435, 10.1253/circj.CJ-12-0337
Yüksel, 2021, The association of body composition parameters and simultaneously measured inter-arm systolic blood pressure differences, Medicina (B Aires), 57, 384, 10.3390/medicina57040384
Chen, 2019, Fat-to-muscle ratio is a useful index for cardiometabolic risks: a population-based observational study, PLoS One, 14
Eun, 2021, Fat-to-muscle ratio: a new indicator for coronary artery disease in healthy adults, Int J Med Sci, 18, 3738, 10.7150/ijms.62871
Correa-Rodríguez, 2020, Normal-weight obesity is associated with increased cardiometabolic risk in young adults, Nutrients, 12, 1106, 10.3390/nu12041106
Zeng, 2012, Percent body fat is a better predictor of cardiovascular risk factors than body mass index, Brazilian J Med Biol Res, 45, 591, 10.1590/S0100-879X2012007500059
Xiong, 2021, Visceral fat area is a better predictor than coronary artery calcification score for cardiovascular outcomes and all-cause death in patients on hemodialysis, J Ren Nutr, 31, 306, 10.1053/j.jrn.2020.08.009
Ryo, 2014, Short-term intervention reduces bioelectrical impedance analysis-measured visceral fat in type 2 diabetes mellitus, Diabetes Res Clin Pract, 103, e27, 10.1016/j.diabres.2013.12.046
Yamakage, 2014, The utility of dual bioelectrical impedance analysis in detecting intra-abdominal fat area in obese patients during weight reduction therapy in comparison with waist circumference and abdominal CT, Endocr J, 61, 807, 10.1507/endocrj.EJ14-0092
Ida, 2013, Early changes of abdominal adiposity detected with weekly dual bioelectrical impedance analysis during calorie restriction, Obesity, 21, E350, 10.1002/oby.20300
Park, 1997, Effect of obesity and regional adiposity on the QTc interval in women, Int J Obes, 21, 1104, 10.1038/sj.ijo.0800521
Yazdanpanah, 2021, Different body parts’ fat mass and corrected QT interval on the electrocardiogram: The Fasa PERSIAN Cohort Study, BMC Cardiovasc Disord, 21, 277, 10.1186/s12872-021-02095-2
Petermann-Rocha, 2022, Global prevalence of sarcopenia and severe sarcopenia: a systematic review and meta-analysis, J Cachexia Sarcopenia Muscle, 13, 86, 10.1002/jcsm.12783
von Haehling, 2017, Muscle wasting and cachexia in heart failure: mechanisms and therapies, Nat Rev Cardiol, 14, 323, 10.1038/nrcardio.2017.51
Petermann-Rocha, 2020, Physical capability markers used to define sarcopenia and their association with cardiovascular and respiratory outcomes and all-cause mortality: a prospective study from UK Biobank, Maturitas, 138, 69, 10.1016/j.maturitas.2020.04.017
Elagizi, 2018, An overview and update on obesity and the obesity paradox in cardiovascular diseases, Prog Cardiovasc Dis, 61, 142, 10.1016/j.pcad.2018.07.003
Horwich, 2018, Obesity and the obesity paradox in heart failure, Prog Cardiovasc Dis, 61, 151, 10.1016/j.pcad.2018.05.005
Clark, 2014, Obesity and the obesity paradox in heart failure, Prog Cardiovasc Dis, 56, 409, 10.1016/j.pcad.2013.10.004
Popiołek-Kalisz J, Teter M, Kozak G, et al. Potential bioelectrical impedance analysis (BIA) parameters in prediction muscle strength in women with anorexia nervosa. 2020. https://doi.org/10.1080/15622975.2020.1774652.
van Venrooij, 2011, The impact of low preoperative fat-free body mass on infections and length of stay after cardiac surgery: A prospective cohort study, J Thorac Cardiovasc Surg, 142, 1263, 10.1016/j.jtcvs.2011.07.033
Han, 2020, The predictive value of sarcopenia and its individual criteria for cardiovascular and all-cause mortality in suburb-dwelling older Chinese, J Nutr Health Aging, 24, 765, 10.1007/s12603-020-1390-8
Chen, 2022, Relationship between sarcopenia and cardiovascular disease risk among Taiwanese older adults, Public Health Nutr, 25, 1745, 10.1017/S1368980022000684
Anaszewicz, 2019, Body composition in patients with atrial fibrillation, Acta Cardiol Sin, 35, 484
Wannamethee, 2015, Muscle loss and obesity: the health implications of sarcopenia and sarcopenic obesity, Proc Nutr Soc, 74, 405, 10.1017/S002966511500169X
Carbone, 2017, Obesity, body composition and cardiorespiratory fitness in heart failure with preserved ejection fraction, Future Cardiol, 13, 451, 10.2217/fca-2017-0023
Saito, 2022, Sarcopenic obesity is associated with impaired physical function and mortality in older patients with heart failure: insight from FRAGILE-HF, BMC Geriatr, 22, 556, 10.1186/s12877-022-03168-3
Chung, 2021, Sarcopenic obesity is significantly associated with coronary artery calcification, Front Med, 8, 651961, 10.3389/fmed.2021.651961
Jun, 2021, Additive effect of low skeletal muscle mass and abdominal obesity on coronary artery calcification, Eur J Endocrinol, 184, 867, 10.1530/EJE-20-0885
Montalcini, 2020, A call to action: now is the time to screen elderly and treat osteosarcopenia, a position paper of the Italian College of Academic Nutritionists MED/49 (ICAN-49), Nutrients, 12, 2662, 10.3390/nu12092662
Colín-Ramírez, 2006, Body composition and echocardiographic abnormalities associated to anemia and volume overload in heart failure patients, Clin Nutr, 25, 746, 10.1016/j.clnu.2006.01.009
Namba, 2022, Differences in extracellular fluid volume between acute heart failure patients with and without high systolic blood pressure, ESC Hear Fail, 9, 3358, 10.1002/ehf2.14067
Knudsen, 2014, Body water distribution and risk of cardiovascular morbidity and mortality in a healthy population: a prospective cohort study, PLoS One, 9, e87466, 10.1371/journal.pone.0087466
Popiolek-Kalisz, 2023, Nutritional status of coronary artery disease patients—preliminary results, Int J Environ Res Public Health, 20, 3464, 10.3390/ijerph20043464
Watanabe, 2021, Bioelectrical impedance analysis for perioperative water management in adult cardiovascular valve disease surgery, Surg Today, 51, 1061, 10.1007/s00595-020-02184-3
Yamaguchi, 2000, Evaluation of body fluid status after cardiac surgery using bioelectrical impedance analysis, J Cardiovasc Surg (Torino), 41, 559
Stellato, 2001, Bioelectrical impedance analysis in heart transplantation: Early and late changes, Semin Nephrol, 21, 10.1053/snep.2001.21658
Park, 2018, Extracellular fluid excess is significantly associated with coronary artery calcification in patients with chronic kidney disease, J Am Heart Assoc, 7, e008935, 10.1161/JAHA.118.008935
