Metabolic score for insulin resistance as a predictor of mortality in heart failure with preserved ejection fraction: results from a multicenter cohort study

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Diabetology & Metabolic Syndrome Pub Date : 2024-09-11 DOI:10.1186/s13098-024-01463-0
You Zhou, Yingli Xie, Laijing Du, Jingjing Dong, Kunlun He
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Abstract

The metabolic score for insulin resistance (METS-IR) has been validated as a novel, simple, and reliable surrogate marker for insulin resistance; however, its utility for evaluating the prognosis of heart failure with preserved ejection fraction (HFpEF) remains to be elucidated. Therefore, we aimed to analyze the association between METS-IR and the long-term prognosis of HFpEF. We enrolled a total of 4,702 participants with HFpEF in this study. The participants were divided into three groups according to METS-IR tertiles: (Ln [2 × fasting plasma glucose + fasting triglycerides] × body mass index) / (Ln [high-density lipoprotein cholesterol]). The occurrence of primary endpoints, including all-cause mortality and cardiovascular (CV) death, was documented. There were 3,248 participants with HFpEF (mean age, 65.7 ± 13.8 years; male, 59.0%) in total who were included in the final analysis. The incidence of primary outcomes from the lowest to the highest METS-IR tertiles were 46.92, 86.01, and 124.04 per 1000 person-years for all-cause death and 26.75, 49.01, and 64.62 per 1000 person-years for CV death. The multivariate Cox hazards regression analysis revealed hazard ratios for all-cause and CV deaths of 2.48 (95% CI 2.10–2.93; P < 0.001) and 2.29 (95% CI 1.83–2.87; P < 0.001) when the highest and lowest METS-IR tertiles were compared, respectively. In addition, the predictive efficacy of METS-IR remained significant across various comorbidity subgroups (all P < 0.05). Further, adding the METS-IR to the baseline risk model for all-cause death improved the C-statistic value (0.690 for the baseline model vs. 0.729 for the baseline model + METS-IR, P < 0.01), the integrated discrimination improvement value (0.061, P < 0.01), the net reclassification improvement value (0.491, P < 0.01), and the clinical net benefit. An elevated METS-IR, which is associated with an increased mortality risk, is a potential valuable prognostic marker for individuals with HFpEF.
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预测射血分数保留型心力衰竭患者死亡率的胰岛素抵抗代谢评分:一项多中心队列研究的结果
胰岛素抵抗代谢评分(METS-IR)已被证实是一种新颖、简单、可靠的胰岛素抵抗替代标记物;然而,它在评估射血分数保留型心力衰竭(HFpEF)预后方面的作用仍有待阐明。因此,我们旨在分析 METS-IR 与 HFpEF 长期预后之间的关系。本研究共招募了 4702 名 HFpEF 患者。根据 METS-IR tertiles 将参与者分为三组:(Ln [2 × 空腹血浆葡萄糖 + 空腹甘油三酯] × 体重指数)/(Ln [高密度脂蛋白胆固醇])。记录了主要终点的发生情况,包括全因死亡率和心血管(CV)死亡。共有 3248 名高频血栓闭塞患者(平均年龄为 65.7 ± 13.8 岁;男性占 59.0%)被纳入最终分析。从最低到最高的 METS-IR 三等分位数来看,全因死亡的主要结局发生率分别为每千人年 46.92、86.01 和 124.04 例,冠心病死亡的主要结局发生率分别为每千人年 26.75、49.01 和 64.62 例。多变量 Cox 危险回归分析显示,当比较最高和最低 METS-IR 四分位数时,全因死亡和 CV 死亡的危险比分别为 2.48 (95% CI 2.10-2.93; P < 0.001) 和 2.29 (95% CI 1.83-2.87; P < 0.001)。此外,METS-IR 的预测效果在不同的合并症亚组中仍然显著(所有 P < 0.05)。此外,在全因死亡基线风险模型中加入 METS-IR 可提高 C 统计量值(基线模型为 0.690,而基线模型 + METS-IR 为 0.729,P <0.01)、综合判别改进值(0.061,P <0.01)、净再分类改进值(0.491,P <0.01)和临床净获益。METS-IR的升高与死亡率风险的增加有关,是高频心衰患者潜在的有价值的预后标志物。
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来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
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