Joint association of the triglyceride-glucose index and stress hyperglycemia ratio with incidence and mortality risks of new-onset atrial fibrillation during sepsis: a retrospective cohort study.

IF 8.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Zhihong Zuo, Zijing Zhou, Qiang Liu, Ruizheng Shi, Ting Wu
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引用次数: 0

Abstract

Background: The triglyceride-glucose (TyG) index and stress hyperglycemia ratio (SHR) have been linked to the cardiovascular risks in critical ill patients. However, little is known about the predictive power of the TyG index, SHR and their combination on the incidence and mortality risks of new-onset atrial fibrillation (NOAF) in patients with sepsis.

Method: This retrospective study included patients from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Primary outcomes were defined as the incidence and 360-day mortality of in-hospital NOAF among patients with sepsis. Logistic model, Cox proportional hazard model, Kaplan-Meier analysis and receiver-operating characteristic (ROC) were performed to explore the association between the indices and clinical outcomes. Machine learning approach also was constructed to evaluate and compare the indices in predicting mortality risks.

Results: 4276 patients meeting the inclusion criteria were enrolled and 764 individuals developed NOAF during hospitalization. The multivariable adjusted odds ratios (95%, CI) of incidence of NOAF in patients with sepsis in the highest group versus the lowest group were 1.36 (1.10-1.69), 1.35 (1.09-1.67) and 1.58 (1.23-2.02), respectively, for the TyG index, SHR and the TyG index-SHR combination. However, the predictive powers of these indices were relatively low. Among septic patients who developed in-hospital NOAF, those in the highest TyG index group and the highest SHR group exhibited an increased risk of 360-day mortality compared with those with the lowest TyG index and the lowest SHR (the TyG index: hazard ratio [HR] 1.59, 95% CI 1.00-2.62; SHR: HR 1.67, 95% CI 1.03-2.70). Patients with both the highest the TyG index and the highest SHR demonstrated the highest risk of 360-day mortality (HR 1.72, 95% CI 1.08-2.72). The ROC also confirmed the TyG index-SHR combination had more robust predictive power for 360-day mortality among septic patients with NOAF than the TyG index and SHR itself (p < 0.05). The random forest model validated that the predictive capability was significantly enhanced with the integration of the TyG index and SHR.

Conclusion: The TyG index and SHR were associated with the incidence of in-hospital NOAF during sepsis, although their predictive powers were limited. In septic patients with in-hospital NOAF, high levels of the TyG index and SHR were significantly associated with increased 360-day mortality risks, with their combination demonstrating superior predictive power. Joint assessments of the TyG index and SHR could help identify individuals at high risks of mortality post-discharge, enabling clinicians to prioritize follow-up care and improve patient management.

甘油三酯-葡萄糖指数和应激性高血糖比与败血症期间新发房颤发病率和死亡率风险的联合关系:一项回顾性队列研究
背景:甘油三酯-葡萄糖(TyG)指数和应激性高血糖比(SHR)与危重症患者心血管风险相关。然而,TyG指数、SHR及其联合对脓毒症患者新发心房颤动(NOAF)发病率和死亡风险的预测能力尚不清楚。方法:本回顾性研究纳入重症监护医学信息市场(MIMIC)-IV数据库中的患者。主要结局定义为脓毒症患者住院NOAF的发生率和360天死亡率。采用Logistic模型、Cox比例风险模型、Kaplan-Meier分析和受试者工作特征(ROC)分析,探讨各指标与临床结局的相关性。构建了机器学习方法,对预测死亡风险的指标进行评价和比较。结果:4276例符合纳入标准的患者入组,764例在住院期间发生NOAF。TyG指数、SHR及TyG指数-SHR联合组脓毒症患者NOAF发生率的多变量校正优势比(95% CI)分别为1.36(1.10-1.69)、1.35(1.09-1.67)和1.58(1.23-2.02)。然而,这些指标的预测能力相对较低。在发生院内NOAF的脓毒症患者中,TyG指数最高组和SHR最高组的360天死亡风险高于TyG指数最低组和SHR最低组(TyG指数:危险比[HR] 1.59, 95% CI 1.00-2.62;Shr: hr 1.67, 95% ci 1.03-2.70)。TyG指数最高和SHR最高的患者360天死亡风险最高(HR 1.72, 95% CI 1.08-2.72)。ROC还证实TyG指数-SHR联合对脓毒症合并NOAF患者360天死亡率的预测能力比TyG指数和SHR本身更强(p结论:TyG指数和SHR与脓毒症期间院内NOAF的发生率相关,尽管它们的预测能力有限。在院内NOAF的脓毒症患者中,TyG指数和SHR的高水平与360天死亡风险的增加显著相关,两者的组合显示出更强的预测能力。TyG指数和SHR的联合评估可以帮助识别出院后死亡率高的个体,使临床医生能够优先考虑后续护理并改善患者管理。
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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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