4.7 Article

Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study

期刊

FRONTIERS IN PUBLIC HEALTH
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2022.895787

关键词

metabolic body composition status; metabolic syndrome; obesity; rapid kidney function decline; chronic kidney disease

资金

  1. Chang Gung Memorial Hospital Research Projects [CMRPG-2G0361, CMRPG-2H0161, CMRPG-2J0261, CMRPG-2K0091, CLRPG2L0051]
  2. Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) [MOST 106-2314-B-182A-064, MOST 107-2314-B-182A-138, MOST 108-2314-B-182A-027]

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Obesity and metabolic syndrome are risk factors for chronic kidney disease. This study found that the combination of obesity and metabolic syndrome, known as metabolic body composition status (MBCS), is associated with rapid kidney function decline (RKFD), particularly in older adults. Metabolically unhealthy normal weight and metabolically unhealthy overweight were identified as risk factors for RKFD.
Obesity and metabolic syndrome are strong risk factors for incident chronic kidney disease (CKD). However, the predictive accuracy of metabolic body composition status (MBCS), which combines the status of obesity and metabolic syndrome, for rapid kidney function decline (RKFD) is unclear. The aim of this study was to investigate the relationship between MBCS and RKFD in a healthy population in a prospective community-based cohort study. In the current study, we followed changes in renal function in 731 people residing in northern Taiwan for 5 years. The participants were divided into four groups according to their MBCS, including metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy overweight (MUOW). We evaluated traditional risk factors for CKD and metabolic profiles. The primary outcome was RKFD, which was defined as a 15% decline in estimated glomerular filtration rate (eGFR) within the first 4 years, and a reduction in eGFR which did not improve in the 5th year. During the study period, a total of 731 participants were enrolled. The incidence of RKFD was 17.1% (125/731). Multiple Cox logistic regression hazard analysis revealed that age, cerebrovascular accident, eGFR, urine albumin-to-creatinine ratio, use of painkillers, depressive mood, MUNW and MUOW were independent predictors of RKFD. After adjusting for age, sex, eGFR and total cholesterol, the participants with MUNW and MUOW had higher hazard ratios (HRs) for RKFD [HR: 2.19, 95% confidence interval (CI): 1.22-3.95 for MUNW; HR: 1.86, 95% CI: 1.21-2.87 for MUOW] than those with MHNW. Similar results were also observed in subgroup analysis of those aged above 65 years. On the basis of the results of this study, we conclude that MBCS was independently associated with RKFD, especially in the older adults. On the basis of our results, we suggest that MUNW and MUOW should be considered as risk factors for RKFD.

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