Cargando…

Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China

OBJECTIVES: This study aimed to reveal the association between metabolic score for insulin resistance (MetS-IR) and the risk of mildly decreased estimated glomerular filtration rate (eGFR), and explore the evaluation effect of MetS-IR on the progress of eGFR decline. STUDY DESIGN: A cross-sectional...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Pengbo, Li, Qiyu, Guo, Xiaofan, Zhou, Ying, Li, Zhao, Yang, Hongmei, Yu, Shasha, Sun, Guozhe, Zheng, Liqiang, Sun, Yingxian, Zhang, Xingang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679137/
https://www.ncbi.nlm.nih.gov/pubmed/34916312
http://dx.doi.org/10.1136/bmjopen-2021-050907
_version_ 1784616453040766976
author Wang, Pengbo
Li, Qiyu
Guo, Xiaofan
Zhou, Ying
Li, Zhao
Yang, Hongmei
Yu, Shasha
Sun, Guozhe
Zheng, Liqiang
Sun, Yingxian
Zhang, Xingang
author_facet Wang, Pengbo
Li, Qiyu
Guo, Xiaofan
Zhou, Ying
Li, Zhao
Yang, Hongmei
Yu, Shasha
Sun, Guozhe
Zheng, Liqiang
Sun, Yingxian
Zhang, Xingang
author_sort Wang, Pengbo
collection PubMed
description OBJECTIVES: This study aimed to reveal the association between metabolic score for insulin resistance (MetS-IR) and the risk of mildly decreased estimated glomerular filtration rate (eGFR), and explore the evaluation effect of MetS-IR on the progress of eGFR decline. STUDY DESIGN: A cross-sectional study. SETTING AND PARTICIPANTS: A total of 11 956 rural participants (aged ≥35 years) from northeastern China were enrolled in the study. After excluding the subjects whose data were not integrated or who met the exclusion criteria, we finally obtained 11 042 participants in the present study. MAIN OUTCOME MEASURES: Mildly decreased eGFR was defined as 60–90 mL/min/1.73 m(2). RESULTS: The prevalence of mildly decreased eGFR in the general population was 36.9%. After adjustment of covariates, each SD increment of MetS-IR could bring 26.3% additional risk of mildly decreased eGFR (OR: 1.263, 95% CI: 1.066 to 1.497, p=0.007). When MetS-IR was classified into four levels by quartile, we observed participants in the top level had 3.032-fold risk of mildly decreased eGFR (OR: 3.032, 95% CI: 1.841 to 4.991, p<0.001) compared with those from the bottom level. Further, we found the participants with higher MetS-IR score were more likely to aggravate into a worse renal state which presented as higher risk of accelerated decline of eGFR, by additional 28.3% risk in whole participants (OR: 1.283, 95% CI: 1.150 to 1.430, p<0.001) and 41.9% in men (OR: 1.419, 95% CI: 1.183 to 1.701, p<0.001). CONCLUSION: High MetS-IR was associated with high risk of mildly reduced eGFR and often accompanied by a high risk of accelerated decline in eGFR. Hence, we believed MetS-IR was a suitable indicator to evaluate the risk of early-stage renal dysfunction.
format Online
Article
Text
id pubmed-8679137
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-86791372022-01-04 Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China Wang, Pengbo Li, Qiyu Guo, Xiaofan Zhou, Ying Li, Zhao Yang, Hongmei Yu, Shasha Sun, Guozhe Zheng, Liqiang Sun, Yingxian Zhang, Xingang BMJ Open Epidemiology OBJECTIVES: This study aimed to reveal the association between metabolic score for insulin resistance (MetS-IR) and the risk of mildly decreased estimated glomerular filtration rate (eGFR), and explore the evaluation effect of MetS-IR on the progress of eGFR decline. STUDY DESIGN: A cross-sectional study. SETTING AND PARTICIPANTS: A total of 11 956 rural participants (aged ≥35 years) from northeastern China were enrolled in the study. After excluding the subjects whose data were not integrated or who met the exclusion criteria, we finally obtained 11 042 participants in the present study. MAIN OUTCOME MEASURES: Mildly decreased eGFR was defined as 60–90 mL/min/1.73 m(2). RESULTS: The prevalence of mildly decreased eGFR in the general population was 36.9%. After adjustment of covariates, each SD increment of MetS-IR could bring 26.3% additional risk of mildly decreased eGFR (OR: 1.263, 95% CI: 1.066 to 1.497, p=0.007). When MetS-IR was classified into four levels by quartile, we observed participants in the top level had 3.032-fold risk of mildly decreased eGFR (OR: 3.032, 95% CI: 1.841 to 4.991, p<0.001) compared with those from the bottom level. Further, we found the participants with higher MetS-IR score were more likely to aggravate into a worse renal state which presented as higher risk of accelerated decline of eGFR, by additional 28.3% risk in whole participants (OR: 1.283, 95% CI: 1.150 to 1.430, p<0.001) and 41.9% in men (OR: 1.419, 95% CI: 1.183 to 1.701, p<0.001). CONCLUSION: High MetS-IR was associated with high risk of mildly reduced eGFR and often accompanied by a high risk of accelerated decline in eGFR. Hence, we believed MetS-IR was a suitable indicator to evaluate the risk of early-stage renal dysfunction. BMJ Publishing Group 2021-12-16 /pmc/articles/PMC8679137/ /pubmed/34916312 http://dx.doi.org/10.1136/bmjopen-2021-050907 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Wang, Pengbo
Li, Qiyu
Guo, Xiaofan
Zhou, Ying
Li, Zhao
Yang, Hongmei
Yu, Shasha
Sun, Guozhe
Zheng, Liqiang
Sun, Yingxian
Zhang, Xingang
Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China
title Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China
title_full Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China
title_fullStr Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China
title_full_unstemmed Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China
title_short Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China
title_sort usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in china
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679137/
https://www.ncbi.nlm.nih.gov/pubmed/34916312
http://dx.doi.org/10.1136/bmjopen-2021-050907
work_keys_str_mv AT wangpengbo usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT liqiyu usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT guoxiaofan usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT zhouying usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT lizhao usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT yanghongmei usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT yushasha usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT sunguozhe usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT zhengliqiang usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT sunyingxian usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina
AT zhangxingang usefulnessofmetabolicscoreforinsulinresistanceindexinestimatingtheriskofmildlyreducedestimateglomerularfiltrationrateacrosssectionalstudyofruralpopulationinchina