胰岛素抵抗代谢评分(METS-IR)可预测普通人群的全因死亡率和心血管死亡率:来自 NHANES 2001-2018 的证据。

IF 8.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Mingxuan Duan, Xi Zhao, Shaolin Li, Guangrui Miao, Linpeng Bai, Qingyang Zhang, Wenxuan Yang, Xiaoyan Zhao
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引用次数: 0

摘要

背景:随着肥胖率的增加,肥胖相关的胰岛素抵抗(IR)发病率也在增加。在这项研究中,我们根据博鲁塔算法筛选出的关键变量,比较了四种胰岛素抵抗替代指数(甘油三酯葡萄糖指数(TyG 指数)、胰岛素抵抗代谢评分(METS-IR)、甘油三酯/高密度脂蛋白胆固醇(TG/HDL-C)比值和胰岛素抵抗稳态模型评估(HOMA-IR))对普通人群全因死亡率和心血管死亡率的预测效用。目的是找到胰岛素抵抗的最佳替代指数:本研究从国家健康与营养调查(2001-2018 年)中筛选出 14653 名参与者。根据给定公式分别计算了每位参与者的 TyG 指数、METS-IR、TG/HDL-C 和 HOMA-IR。评估了IR替代指数对普通人群全因死亡率和心血管死亡率的预测值:中位随访期为 116 个月,共记录了 2085 例(10.23%)全因死亡和 549 例(2.61%)心血管疾病(CVD)相关死亡。多变量 Cox 回归和限制性三次样条分析表明,在四项指标中,只有 METS-IR 与全因死亡率和心血管疾病死亡率均有显著相关性,且两者均呈现近似 "U "型的非线性关联。具体来说,基线 METS-IR 低于拐点(41.33)与死亡率呈负相关[全因死亡率的危险比 (HR) 为 0.972,95% CI 为 0.950-0.997]。相反,基线 METS-IR 高于拐点(41.33)与死亡率呈正相关(全因死亡率的危险比为 1.019,95% CI 为 1.011-1.026;心血管疾病死亡率的危险比为 1.028,95% CI 为 1.014-1.043)。我们对 METS-IR 进行了进一步分层,结果表明,METS-IR 水平与全因死亡率和心血管死亡率之间的显著关联主要出现在非老年人群中:结合博鲁塔算法的结果,METS-IR 与其他三个替代 IR 指数(TyG 指数、TG/HDL-C 和 HOMA-IR)相比,在美国人群中与全因死亡率和心血管死亡率的关系更为显著,这一点在 65 岁以下人群中尤为明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001-2018.

Background: The prevalence of obesity-associated insulin resistance (IR) is increasing along with the increase in obesity rates. In this study, we compared the predictive utility of four alternative indexes of IR [triglyceride glucose index (TyG index), metabolic score for insulin resistance (METS-IR), the triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio and homeostatic model assessment of insulin resistance (HOMA-IR)] for all-cause mortality and cardiovascular mortality in the general population based on key variables screened by the Boruta algorithm. The aim was to find the best replacement index of IR.

Methods: In this study, 14,653 participants were screened from the National Health and Nutrition Examination Survey (2001-2018). And TyG index, METS-IR, TG/HDL-C and HOMA-IR were calculated separately for each participant according to the given formula. The predictive values of IR replacement indexes for all-cause mortality and cardiovascular mortality in the general population were assessed.

Results: Over a median follow-up period of 116 months, a total of 2085 (10.23%) all-cause deaths and 549 (2.61%) cardiovascular disease (CVD) related deaths were recorded. Multivariate Cox regression and restricted cubic splines analysis showed that among the four indexes, only METS-IR was significantly associated with both all-cause and CVD mortality, and both showed non-linear associations with an approximate "U-shape". Specifically, baseline METS-IR lower than the inflection point (41.33) was negatively associated with mortality [hazard ratio (HR) 0.972, 95% CI 0.950-0.997 for all-cause mortality]. In contrast, baseline METS-IR higher than the inflection point (41.33) was positively associated with mortality (HR 1.019, 95% CI 1.011-1.026 for all-cause mortality and HR 1.028, 95% CI 1.014-1.043 for CVD mortality). We further stratified the METS-IR and showed that significant associations between METS-IR levels and all-cause and cardiovascular mortality were predominantly present in the nonelderly population aged < 65 years.

Conclusions: In conjunction with the results of the Boruta algorithm, METS-IR demonstrated a more significant association with all-cause and cardiovascular mortality in the U.S. population compared to the other three alternative IR indexes (TyG index, TG/HDL-C and HOMA-IR), particularly evident in individuals under 65 years old.

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来源期刊
Cardiovascular Diabetology
Cardiovascular Diabetology 医学-内分泌学与代谢
CiteScore
12.30
自引率
15.10%
发文量
240
审稿时长
1 months
期刊介绍: Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.
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