Obesity Without Metabolic Abnormality and Incident CKD: A Population-Based British Cohort Study.

Albuminuria body mass index (BMI) body size phenotype chronic kidney disease (CKD) diabetes glomerular filtration rate (GFR) hyperlipidemia hypertension incident CKD kidney replacement therapy (KRT) metabolic status metabolically healthy obesity (MHO) overweight primary care

Journal

American journal of kidney diseases : the official journal of the National Kidney Foundation
ISSN: 1523-6838
Titre abrégé: Am J Kidney Dis
Pays: United States
ID NLM: 8110075

Informations de publication

Date de publication:
01 2022
Historique:
received: 30 11 2020
accepted: 27 05 2021
pubmed: 20 6 2021
medline: 3 2 2022
entrez: 19 6 2021
Statut: ppublish

Résumé

Metabolically healthy obesity (obesity without any metabolic abnormality) is not considered to be associated with increased risk of morbidity and mortality. We examined and quantified the association between metabolically healthy overweight/obesity and the risk of incident chronic kidney disease (CKD) in a British primary care population. Retrospective population-based cohort study. 4,447,955 of the 5,182,908 adults in The Health Improvement Network (THIN) database (United Kingdom, 1995-2015) with a recorded body mass index (BMI) at the time of registration date who were free of CKD and cardiovascular disease. 11 body size phenotypes were created, defined by BMI categories (underweight, normal weight, overweight, and obesity) and 3 metabolic abnormalities (diabetes, hypertension, and dyslipidemia). Incident CKD defined as a recorded code for kidney replacement therapy, a recorded diagnosis of CKD, or by an estimated glomerular filtration rate of<60mL/min/1.73m Of the 4.5 million individuals, 1,040,921 (23.4%) and 588,909 (13.2%) had metabolically healthy overweight and metabolically healthy obesity, respectively. During a mean follow-up interval of 5.4±4.3 (SD) years, compared with individuals with a metabolically healthy normal weight (n=1,656,231), there was a higher risk of incident CKD among those who had metabolically healthy overweight (adjusted HR, 1.30 [95% CI, 1.28-1.33]) and metabolically healthy obesity (adjusted HR, 1.66 [95% CI, 1.62-1.70]). The association was stronger in those younger than 65 years of age. In all BMI categories, there was greater risk of incident CKD with a greater number of metabolic abnormalities in a graded manner. Potential misclassification of metabolic status due to delayed diagnosis and residual confounding due to unmeasured factors. Overweight and obesity without metabolic abnormality are associated with a higher risk of incident CKD compared with those with normal body weight and no metabolic abnormality.

Identifiants

pubmed: 34146618
pii: S0272-6386(21)00636-3
doi: 10.1053/j.ajkd.2021.05.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

24-35.e1

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Auteurs

Jingya Wang (J)

Institute of Applied Health Research, University of Birmingham, United Kingdom.

Krishnarajah Niratharakumar (K)

Institute of Applied Health Research, University of Birmingham, United Kingdom. Electronic address: K.Nirantharan@bham.ac.uk.

Krishna Gokhale (K)

Institute of Applied Health Research, University of Birmingham, United Kingdom.

Abd A Tahrani (AA)

Institute of Applied Health Research, University of Birmingham, United Kingdom; Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.

Tom Taverner (T)

Institute of Applied Health Research, University of Birmingham, United Kingdom.

G Neil Thomas (GN)

Institute of Applied Health Research, University of Birmingham, United Kingdom. Electronic address: g.n.thomas@bham.ac.uk.

Indranil Dasgupta (I)

Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Warwick Medical School, University of Warwick, Coventry, United Kingdom.

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Classifications MeSH