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内脏脂肪代谢评分与全因死亡率、心血管死亡率和癌症死亡率的关系:一项前瞻性队列研究。

Association of metabolic score for visceral fat with all-cause mortality, cardiovascular mortality, and cancer mortality: A prospective cohort study.

机构信息

Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China.

Department of Cardiology, Peking University First Hospital, Beijing, China.

出版信息

Diabetes Obes Metab. 2024 Dec;26(12):5870-5881. doi: 10.1111/dom.15959. Epub 2024 Oct 3.

Abstract

AIM

Our study aimed to evaluate the association between the metabolic score for visceral fat (METS-VF) and mortality.

METHODS

We conducted a cohort study comprising 11,120 participants. We employed weighted multivariable Cox regression analysis to assess the relationship between METS-VF and mortality. Restricted cubic spline analyses were used to investigate potential non-linear associations. Receiver operating characteristic curves were used to evaluate the predictive value of METS-VF and other obesity-related indicators for mortality. Subgroup analysis and sensitivity analysis were performed to confirm the robustness of the results. Mendelian randomization analysis was utilized to assess potential causality.

RESULTS

Over a median follow-up duration of 83 months, a total of 1014 all-cause deaths, 301 cardiovascular deaths, and 262 cancer deaths occurred. For every 0.2-unit increase in METS-VF, the hazard ratios(HRs) of all-cause mortality, cardiovascular mortality, and cancer mortality were 1.13 [95% confidence interval (CI): 1.06, 1.20], 1.18 (95% CI: 1.06, 1.31), and 1.13 (95% CI: 1.03, 1.25), respectively. In addition, restricted cubic spline analyses revealed no significant non-linear associations between METS-VF and all-cause mortality, cardiovascular mortality, and cancer mortality. In multivariate Cox regression models, hazard ratios of all-cause mortality, cardiovascular mortality and cancer mortality were higher in the highest METS-VF group compared to the reference group. Subgroup and sensitivity analyses confirmed that our results were robust. Receiver operating characteristic curves indicated that METS-VF predicted mortality better than other obesity-related indicators. Mendelian randomization analysis confirmed significant causal relationships.

CONCLUSIONS

METS-VF was positively associated with all-cause mortality, cardiovascular mortality, and cancer mortality. These findings suggest that METS-VF could serve as a straightforward, reliable, and cost-effective marker for identifying individuals at high risk of mortality.

摘要

目的

本研究旨在评估内脏脂肪代谢评分(METS-VF)与死亡率之间的关联。

方法

我们进行了一项包含 11120 名参与者的队列研究。我们采用加权多变量 Cox 回归分析评估了 METS-VF 与死亡率之间的关系。采用限制性立方样条分析探讨了潜在的非线性关联。采用受试者工作特征曲线评估了 METS-VF 和其他肥胖相关指标对死亡率的预测价值。进行了亚组分析和敏感性分析以确认结果的稳健性。采用孟德尔随机化分析评估了潜在的因果关系。

结果

在中位随访 83 个月期间,共发生了 1014 例全因死亡、301 例心血管死亡和 262 例癌症死亡。METS-VF 每增加 0.2 个单位,全因死亡率、心血管死亡率和癌症死亡率的危险比(HR)分别为 1.13(95%置信区间:1.06,1.20)、1.18(95%置信区间:1.06,1.31)和 1.13(95%置信区间:1.03,1.25)。此外,限制性立方样条分析显示,METS-VF 与全因死亡率、心血管死亡率和癌症死亡率之间不存在显著的非线性关联。在多变量 Cox 回归模型中,与参考组相比,METS-VF 最高组的全因死亡率、心血管死亡率和癌症死亡率更高。亚组和敏感性分析证实了我们的结果是稳健的。受试者工作特征曲线表明,METS-VF 预测死亡率的效果优于其他肥胖相关指标。孟德尔随机化分析证实了显著的因果关系。

结论

METS-VF 与全因死亡率、心血管死亡率和癌症死亡率呈正相关。这些发现表明,METS-VF 可作为一种简单、可靠且具有成本效益的标志物,用于识别高死亡率风险的个体。

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