Increased fat mass index is associated with decreased glomerular filtration rate estimated from cystatin C. Data from Malmö Diet and Cancer cohort

• Published in: PloS one Vol. 17; no. 7; p. e0271638
• Main Authors: Laucyte-Cibulskiene, Agne, Nilsson, Peter M., Engström, Gunnar, Christensson, Anders
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 21.07.2022; Public Library of Science (PLoS)
• Subjects: Biology and Life Sciences; Body composition; Body fat; Body mass; Body mass index; Body size; Body weight; Cancer; Chronic kidney failure; Clinical Medicine; Creatinine; Cystatin; Cystatin C; Diabetes; Diagnosis; Diet; Epidemiology; Epidermal growth factor receptors; Frequency analysis; Glomerular filtration rate; Health status indicators; Kidney diseases; Kidneys; Klinisk medicin; Mathematical analysis; Medical and Health Sciences; Medical research; Medicin och hälsovetenskap; Medicine and Health Sciences; Medicine, Experimental; Obesity; Overweight; Pediatrics; Population; Regression analysis; Risk factors; Statistical analysis; Statistics; Urban populations; Womens health; Sweden
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0271638

This study aims to describe associations of obesity and CKD in a Swedish urban population. The impact of fat mass, from bioimpedance analysis, on eGFR based on cystatin C and/or creatinine is studied. 5049 participants from Malmö Diet and Cancer Study the cardiovascular arm (MDCS-CV) with available body mass composition (single frequency bioimpedance analysis) and cystatin C measured at baseline were selected. Body mass index (kg/m.sup.2) was used to define overweight/obesity. eGFR was calculated using cystatin C (eGFR.sub.CYS) and creatinine (eGFR.sub.CR) equations: Chronic Kidney Disease Epidemiology Collaboration 2012 (CKD-EPI.sub.CR, CKD-EPI.sub.CYS, CKD-EPI.sub.CR-CYS).sub., eGFR.sub.CYS based on Caucasian, Asian, pediatric, and adult cohorts (CAPA), the Lund-Malmö revised equation (LMrev), and Modified Full Age Spectrum creatinine-based equation (EKFC.sub.CR). Two different fat mass index (FMI) z-scores were calculated: FMI z-score.sub.Larsson and FMI z-score.sub.Lee. Lower eGFR.sub.CYS and eGFR.sub.CR-CYS following multiple adjustments were prevalent in overweight/obese subjects. Increase in FMI z-score.sub.Larsson or FMI z-score.sub.Lee was related to decrease in predicted CAPA, CKD-EPI.sub.CYS, CKD-EPI.sub.CR-CYS and CAPA-LMrev equation. eGFR.sub.CYS, in contrast to combined eGFR.sub.CR-CYS and eGFR.sub.CR, demonstrate the strongest association between FMI and kidney function.