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Investigation of the Relationship between Lean Muscle Mass and Erythropoietin Resistance in Maintenance Haemodialysis Patients

A Cross-Sectional Study

Bibliographic Data

ID15475817
AuthorsWen‐Fang Chiang (0000-0002-5192-6706, Tri-Service General Hospital), Po-Jen Hsiao (0000-0003-4965-0285, Fu Jen Catholic University, corresponding author), Kun‐Lin Wu (0000-0002-2661-6837, Tri-Service General Hospital), Hung-Ming Chen (0000-0001-8173-3131, Taoyuan Armed Forces General Hospital), Chi‐Ming Chu (0000-0001-8563-1378, Fu Jen Catholic University), Jenq‐Shyong Chan (0000-0003-2791-0162, Tri-Service General Hospital, corresponding author)
Year2022
Volume19
Issue9
Pages5704-5704
Publication date2022-05-07
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19095704
PMID35565102
OpenAlexW4229333644
LanguageEN

Each patient undergoing maintenance haemodialysis (MHD) has a different response to erythropoiesis-stimulating agents (ESAs). Haemodilution due to fluid overload has been shown to contribute to anaemia. Body mass index (BMI) has been shown to influence ESA response in dialysis patients; however, BMI calculation does not distinguish between fat and lean tissue. The association between lean muscle mass and erythropoietin hyporesponsiveness is still not well-known among MHD patients. We designed a cross-sectional study and used bioimpedance spectroscopy (BIS) to analyse the relationship between body composition, haemoglobin level, and erythropoietin resistance index (ERI) in MHD patients. Seventy-seven patients were enrolled in the study group. Compared with patients with haemoglobin ≥ 10 g/dL, those with haemoglobin < 10 g/dL had higher serum ferritin levels, malnutrition−inflammation scores (MIS), relative overhydration, ESA doses, and ERIs. In multivariate logistic regression, higher ferritin levels and MIS were the only predictors of lower haemoglobin levels. The ERI was significantly positively correlated with age, Kt/V, ferritin levels, and MIS and negatively correlated with albumin levels, BMI, and lean tissue index (LTI). Multivariate linear regression analysis revealed that ferritin levels, BMI, and LTI were the most important predictors of ERI. In MHD patients, using BIS to measure body composition can facilitate the development of early interventions that aim to prevent sarcopenia, support ESA responsiveness, and, consequently, improve anaemia management

Anemia · Bayesian multivariate linear regression · Body mass index · Body weight · Cross-sectional study · Dialysis · Erythropoietin · Ferritin · Hematocrit · Hemodialysis · Lean body mass · Linear regression · Logistic regression · Mass index · Multivariate analysis · Pathology · Sarcopenia · Dialysis and Renal Disease Management · Erythropoietin and Anemia Treatment · Iron Metabolism and Disorders · Medicine · Endocrinology · Gastroenterology · Internal Medicine

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