Insulin-based or non-insulin-based insulin resistance indicators and risk of long-term cardiovascular and all-cause mortality in the general population: A 25-year cohort study

IF 4.6 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Zhangyu Lin , Sheng Yuan , Bowen Li , Jingjing Guan , Jining He , Chenxi Song , Jia Li , Kefei Dou
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引用次数: 0

Abstract

Objective

Although insulin resistance (IR) has been recognized to be a causal component in various diseases, current information on the relationship between IR and long-term mortality in the general population is limited and conclusions varied among different IR indicators and different populations. We aimed to assess associations between different measurements of IR with long-term all-cause mortality and cardiovascular mortality risk for the general population.

Research design and methods

We included 13,909 individuals from the Third National Health and Nutrition Examination Survey. Mortality was identified via National Death Index information until December 31, 2019. IR was measured using fasting insulin, homeostasis model assessment of IR (HOMA-IR), homeostasis model assessment of β-cell function, quantitative insulin sensitivity check index (QUICKI), insulin-to-glucose ratio (IGR), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and hypertriglyceridemic-waist phenotype.

Results

During median 25-year follow-up, 5,306 all-cause mortality events occurred. After multivariate adjustment, variables significantly associated with elevated all-cause mortality risk were (hazard ratio [95 % confidence interval]): higher insulin (1.07 [1.02;1.13]); HOMA-IR (1.08 [1.03;1.13]); IGR (1.05 [1.00;1.11]); TyG (1.07 [1.00;1.14]); TyG-BMI (1.24 [1.02;1.51]); lower QUICKI (0.91 [0.86–0.96]). After stratification by diabetes status, higher insulin, HOMA-IR, TyG-BMI and lower QUICKI were significantly associated with increased risk of all-cause mortality in both diabetes and non-diabetes populations (all P for interaction > 0.05). Higher TyG (adjusted HR 1.17 [1.09;1.26], P for interaction = 0.018) and hypertriglyceridemic-waist phenotype (adjusted HR 1.26 [1.08;1.46], P for interaction = 0.047) were significantly associated with increased risk of all-cause mortality in patients with diabetes, however, these associations could not be seen in people without diabetes. Similar results were observed between the above-mentioned IR indicators and cardiovascular death.

Conclusions

Fasting insulin, HOMA-IR, TyG-BMI, and QUICKI may indicate mortality risk in diabetes and non-diabetes populations, with TyG and the hypertriglyceridemic-waist phenotype showing particular relevance for individuals with diabetes. Further studies are needed to validate these findings and determine their broader applicability.

基于胰岛素或非基于胰岛素的胰岛素抵抗指标与普通人群长期心血管和全因死亡风险:一项为期 25 年的队列研究。
目的:尽管胰岛素抵抗(IR)已被认为是多种疾病的致病因素之一,但目前有关胰岛素抵抗与普通人群长期死亡率之间关系的信息十分有限,而且不同的胰岛素抵抗指标和不同的人群得出的结论也不尽相同。我们的目的是评估不同IR测量值与普通人群长期全因死亡率和心血管死亡风险之间的关系:我们纳入了第三次全国健康与营养调查中的 13,909 人。通过截至 2019 年 12 月 31 日的国家死亡指数信息确定了死亡率。通过空腹胰岛素、IR稳态模型评估(HOMA-IR)、β细胞功能稳态模型评估、胰岛素敏感性定量检查指数(QUICKI)、胰岛素与葡萄糖比值(IGR)、甘油三酯葡萄糖(TyG)指数、TyG-体重指数(TyG-BMI)和高甘油三酯血症腰围表型测量IR:在中位 25 年的随访期间,共发生了 5,306 起全因死亡事件。经多变量调整后,与全因死亡风险升高显著相关的变量有(危险比[95% 置信区间]):胰岛素较高(1.07 [1.02;1.13]); HOMA-IR (1.08 [1.03;1.13]); IGR (1.05 [1.00;1.11]); TyG (1.07 [1.00;1.14]); TyG-BMI (1.24 [1.02;1.51]); 较低的 QUICKI (0.91 [0.86-0.96])。按糖尿病状态分层后,在糖尿病和非糖尿病人群中,较高的胰岛素、HOMA-IR、TyG-BMI 和较低的 QUICKI 与全因死亡风险的增加显著相关(所有交互作用的 P > 0.05)。在糖尿病患者中,较高的 TyG(调整后 HR 1.17 [1.09;1.26],交互作用 P = 0.018)和高甘油三酯腰围表型(调整后 HR 1.26 [1.08;1.46],交互作用 P = 0.047)与全因死亡风险增加显著相关,但在非糖尿病患者中却看不到这些关联。上述红外指标与心血管死亡之间也有类似的结果:空腹胰岛素、HOMA-IR、TyG-BMI 和 QUICKI 可显示糖尿病和非糖尿病人群的死亡风险,其中 TyG 和高甘油三酯腰围表型与糖尿病患者尤为相关。要验证这些发现并确定其更广泛的适用性,还需要进一步的研究。
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来源期刊
Diabetes & metabolism
Diabetes & metabolism 医学-内分泌学与代谢
CiteScore
12.00
自引率
4.20%
发文量
86
审稿时长
13 days
期刊介绍: A high quality scientific journal with an international readership Official publication of the SFD, Diabetes & Metabolism, publishes high-quality papers by leading teams, forming a close link between hospital and research units. Diabetes & Metabolism is published in English language and is indexed in all major databases with its impact factor constantly progressing. Diabetes & Metabolism contains original articles, short reports and comprehensive reviews.
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