Suppr超能文献

危重症心力衰竭患者早期血糖动态轨迹与死亡率的关系:来自真实世界数据的启示。

Association between early blood glucose dynamic trajectory and mortality for critically ill patients with heart failure: Insights from real-world data.

机构信息

Department of Pulmonary and Critical Care Medicine (PCCM), Shenzhen Bao'an Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China; The First Clinical School, Guangzhou University of Chinese Medicine, Guangzhou, China.

The First Clinical School, Guangzhou University of Chinese Medicine, Guangzhou, China; Department of Critical Care Medicine, Shenzhen Bao'an Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China.

出版信息

Diabetes Res Clin Pract. 2024 Oct;216:111822. doi: 10.1016/j.diabres.2024.111822. Epub 2024 Aug 16.

Abstract

AIMS

This study endeavors to explore the ramifications of early dynamic blood glucose (BG) trajectories within the initial 48 h of intensive care unit (ICU) admission on mortality among critically ill heart failure (HF) patients.

METHODS

The study employed a retrospective observational design, analyzing dynamic BG data of HF patients from the Medical Information Mart for Intensive Care IV database. The BG trajectory subphenotypes were identified using the hierarchical clustering based on the dynamic time-warping algorithm. The primary outcome of the study was 28-day mortality, with secondary outcomes including 180-day and 1-year mortality.

RESULTS

We screened a total of 21,098 HF patients and finally 15,092 patients were included in the study. Our results identified three distinct BG trajectory subphenotypes: increasing (n = 3503), stabilizing (n = 6250), and decreasing (n = 5339). The increasing subphenotype was associated with the highest mortality risk at 28 days, 180 days, and 1 year. The stabilizing and decreasing subphenotypes showed significantly lower mortality risks across all time points, with hazard ratios ranging from 0.85 to 0.88 (P<0.05 for all). Sensitivity analyses confirmed the robustness of these findings after adjusting for various covariates.

CONCLUSIONS

Increasing BG trajectory within 48 h of admission is significantly associated with higher mortality in patients with HF. It is necessary to devote greater attention to the early BG dynamic changes in HF patients to optimize clinical BG management and enhance patient prognosis.

摘要

目的

本研究旨在探讨重症心力衰竭(HF)患者入住重症监护病房(ICU)最初 48 小时内早期动态血糖(BG)轨迹对死亡率的影响。

方法

本研究采用回顾性观察设计,分析了来自医疗信息集市重症监护 IV 数据库的 HF 患者的动态 BG 数据。使用基于动态时间 warping 算法的层次聚类来识别 BG 轨迹亚表型。研究的主要结局是 28 天死亡率,次要结局包括 180 天和 1 年死亡率。

结果

我们共筛选了 21098 例 HF 患者,最终纳入 15092 例患者。我们的结果确定了三种不同的 BG 轨迹亚表型:升高(n=3503)、稳定(n=6250)和降低(n=5339)。升高的亚表型与 28 天、180 天和 1 年的最高死亡率相关。稳定和降低的亚表型在所有时间点的死亡率风险显著降低,风险比范围为 0.85 至 0.88(所有 P<0.05)。敏感性分析在调整了各种协变量后证实了这些发现的稳健性。

结论

入住后 48 小时内 BG 轨迹升高与 HF 患者死亡率显著相关。有必要更加关注 HF 患者早期 BG 动态变化,以优化临床 BG 管理并改善患者预后。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验