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基于 MIMIC-IV 数据库的回顾性研究:危重症房颤患者应激性高血糖比值指数与全因死亡率的相关性。

Association between stress hyperglycemia ratio index and all-cause mortality in critically ill patients with atrial fibrillation: a retrospective study using the MIMIC-IV database.

机构信息

Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.

Department of Emergency, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, 215000, China.

出版信息

Cardiovasc Diabetol. 2024 Oct 14;23(1):363. doi: 10.1186/s12933-024-02462-1.

Abstract

BACKGROUND

The stress hyperglycemia ratio (SHR) was developed to mitigate the influence of long-term chronic glycemic factors on stress hyperglycemia levels, which are associated with adverse clinical events, particularly cardiovascular events. However, studies examining the SHR index and its prognostic significance in patients with atrial fibrillation (AF) are lacking. This study aims to evaluate the relationship between the SHR index and all-cause mortality in critically ill patients with AF upon Intensive Care Unit admission.

METHODS

The patients' data were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. All patients were categorized into four groups based on the SHR index. The outcomes include both primary and secondary endpoints, with the primary endpoints being 30-day and 365-day all-cause mortality, and the secondary endpoints being 90-day and 180-day all-cause mortality. The SHR index was analyzed using quartiles, and the Kaplan-Meier curve was employed to compare the outcomes across groups. Cox proportional-hazards regression and restricted cubic splines (RCS) were used to assess the relationship between the SHR index and the outcomes.

RESULTS

Out of a total of 1,685 participants, the average age was 63.12 years (range: 40.17 to 101.49), with 1,004 (59.58%) being male. Higher levels of the SHR index were associated with an increased risk of all-cause mortality at 30 days, 90 days, 180 days, and 365 days, as indicated by the Kaplan-Meier curves (log-rank P < 0.01). Additionally, Cox proportional-hazards regression analysis revealed that the risk of mortality at these time points was significantly higher in the highest quartile of the SHR index. Restricted cubic splines (RCS) analysis demonstrated U-shaped relationships between the SHR index and all-cause mortality, with inflection points at 0.73 for 30-day mortality and 0.76 for 365-day mortality. Compared to patients with SHR levels below these inflection points, those with higher levels had a 69.9% increased risk for 30-day all-cause mortality (hazard ratio [HR] 1.699; 95% confidence interval [CI] 1.336 to 2.159) and a 61.6% increased risk for 365-day all-cause mortality (HR 1.616; 95% CI 1.345 to 1.942).

CONCLUSION

In critically ill patients with AF, higher levels of the SHR index are significantly associated with an increased risk of all-cause mortality at 30 days, 90 days, 180 days, and 365 days. The SHR index may serve as a valid indicator for assessing the severity and guiding the treatment of AF patients in the ICU.

摘要

背景

应激性高血糖比值(SHR)的提出是为了减轻长期慢性血糖因素对应激性高血糖水平的影响,而应激性高血糖水平与不良临床事件,尤其是心血管事件有关。然而,目前缺乏关于 SHR 指数及其在心房颤动(AF)患者中的预后意义的研究。本研究旨在评估 SHR 指数与入住重症监护病房(ICU)的 AF 危重症患者全因死亡率之间的关系。

方法

从 Medical Information Mart for Intensive Care IV(MIMIC-IV)数据库中提取患者数据。所有患者均根据 SHR 指数分为四组。结局包括主要和次要终点,主要终点为 30 天和 365 天全因死亡率,次要终点为 90 天和 180 天全因死亡率。使用四分位数分析 SHR 指数,并通过 Kaplan-Meier 曲线比较各组之间的结局。使用 Cox 比例风险回归和限制性三次样条(RCS)评估 SHR 指数与结局之间的关系。

结果

在总共 1685 名参与者中,平均年龄为 63.12 岁(范围:40.17 至 101.49),其中 1004 名(59.58%)为男性。较高的 SHR 指数水平与 30 天、90 天、180 天和 365 天的全因死亡率增加相关,Kaplan-Meier 曲线显示(对数秩检验 P<0.01)。此外,Cox 比例风险回归分析表明,在 SHR 指数最高四分位数的这些时间点,死亡率的风险显著更高。限制性三次样条(RCS)分析显示 SHR 指数与全因死亡率之间呈 U 型关系,30 天死亡率的拐点为 0.73,365 天死亡率的拐点为 0.76。与 SHR 水平低于这些拐点的患者相比,SHR 水平较高的患者 30 天全因死亡率的风险增加了 69.9%(风险比[HR]1.699;95%置信区间[CI]1.336 至 2.159),365 天全因死亡率的风险增加了 61.6%(HR 1.616;95% CI 1.345 至 1.942)。

结论

在患有 AF 的危重症患者中,较高的 SHR 指数水平与 30 天、90 天、180 天和 365 天的全因死亡率增加显著相关。SHR 指数可能是评估 ICU 中 AF 患者严重程度和指导治疗的有效指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/11476318/433dd1d846e0/12933_2024_2462_Fig1_HTML.jpg

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