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代谢健康/不健康的正常体重或超重/肥胖人群中肾功能障碍的风险:系统评价和荟萃分析。

The risk of kidney dysfunction in metabolically healthy/unhealthy population with normal weight or overweight/obesity: a systematic review and meta-analysis.

机构信息

Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

出版信息

Eat Weight Disord. 2024 Nov 2;29(1):69. doi: 10.1007/s40519-024-01697-x.

DOI:10.1007/s40519-024-01697-x
PMID:39487860
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11531429/
Abstract

BACKGROUND

Chronic kidney disease (CKD) is a major global health concern with increasing prevalence and associated complications. Obesity and obesity-related metabolic disorders have been linked to chronic kidney disease (CKD), although the evidence is still inconsistent. To investigate the relationship between different obesity phenotypes and the risk of CKD, we conducted a systematic review and meta-analysis.

METHOD

We conducted a comprehensive search of databases for all relevant studies up to February 2024, without imposing a specific start date, for observational studies assessing the relationship between obesity phenotypes and incident kidney dysfunction. We used fixed and random effects models for the meta-analysis, subgroup analyses were carried out to explore heterogeneity, and Egger's and Begg's tests were used to assess publication bias.

RESULT

This meta-analysis included 13 eligible observational studies with 492,829 participants. Pooling the studies regardless of the effect measure showed that individuals with metabolically unhealthy normal weight (MUNW) (ES = 1.58, 95% CI = 1.43-1.76), metabolically healthy obese (MHO) (ES = 1.20, 95% CI = 1.06-1.34), and metabolically unhealthy obese (MUO) (ES = 1.90, 95% CI = 1.63-2.20) phenotypes had a significantly increased risk for kidney dysfunction (KD) events. On the other hand, MUOW individuals did not significantly correlate with risk of CKD (ES = 1.63, 95% CI = 0.97-2.23) compared to the MHNW phenotype.

CONCLUSION

Healthy overweight and obese individuals had higher risk for the incident KD events; refuting the notion that metabolically healthy overweight and obese phenotypes are benign conditions.

LEVEL OF EVIDENCE

III Evidence obtained from well-designed cohort or cross-sectional studies.

摘要

背景

慢性肾脏病(CKD)是一个全球性的主要健康问题,其患病率不断增加,并伴有相关并发症。肥胖和与肥胖相关的代谢紊乱与慢性肾脏病(CKD)有关,尽管证据仍然不一致。为了研究不同肥胖表型与 CKD 风险的关系,我们进行了系统评价和荟萃分析。

方法

我们全面检索了截至 2024 年 2 月的所有相关数据库,没有设定特定的起始日期,以评估肥胖表型与肾功能障碍事件之间关系的观察性研究。我们使用固定效应和随机效应模型进行荟萃分析,进行亚组分析以探索异质性,并使用 Egger 检验和 Begg 检验评估发表偏倚。

结果

本荟萃分析纳入了 13 项符合条件的观察性研究,共 492829 名参与者。无论效应量如何,汇总这些研究表明,代谢不健康的正常体重(MUNW)个体(ES=1.58,95%CI=1.43-1.76)、代谢健康的肥胖(MHO)个体(ES=1.20,95%CI=1.06-1.34)和代谢不健康的肥胖(MUO)个体(ES=1.90,95%CI=1.63-2.20)患肾功能障碍(KD)事件的风险显著增加。另一方面,与 MHNW 表型相比,MUOW 个体与 CKD 风险无显著相关性(ES=1.63,95%CI=0.97-2.23)。

结论

健康超重和肥胖个体发生 KD 事件的风险较高;反驳了代谢健康超重和肥胖表型是良性状态的观点。

证据等级

III 级 来源于精心设计的队列或横断面研究的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/9999fc0e8ceb/40519_2024_1697_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/2b840a81828e/40519_2024_1697_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/d196c41d5f91/40519_2024_1697_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/d006bf7d8ad4/40519_2024_1697_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/c81853f185b1/40519_2024_1697_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/9999fc0e8ceb/40519_2024_1697_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/2b840a81828e/40519_2024_1697_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/d196c41d5f91/40519_2024_1697_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/d006bf7d8ad4/40519_2024_1697_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/c81853f185b1/40519_2024_1697_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f051/11531429/9999fc0e8ceb/40519_2024_1697_Fig5_HTML.jpg

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