The Six Clinical Medical School, Capital Medical University, Beijing, China.
Department of Medical Genetics and Developmental Biology, Capital Medical University School of Basic Medical Sciences, Beijing, China.
Eur J Med Res. 2023 Dec 20;28(1):614. doi: 10.1186/s40001-023-01584-8.
This study was aimed to investigate the correlation between low body temperature and outcomes in critically ill patients with coronary heart disease (CHD).
Participants from the Medical Information Mart for Intensive Care (MIMIC)-IV were divided into three groups (≤ 36.5 ℃, 36.6-37.4 ℃, ≥ 37.5 ℃) in accordance with body temperature measured orally in ICU. In-hospital, 28-day and 90-day mortality were the major outcomes. Multivariable Cox regression, decision curve analysis (DCA), restricted cubic splines (RCS), Kaplan-Meier curves (with or without propensity score matching), and subgroup analyses were used to investigate the association between body temperature and outcomes.
A total of 8577 patients (65% men) were included. The in-hospital, 28-day, 90-day, and 1-year overall mortality rate were 10.9%, 16.7%, 21.5%, and 30.4%, respectively. Multivariable Cox proportional hazards regression analyses indicated that patients with hypothermia compared to the patients with normothermia were at higher risk of in-hospital [adjusted hazard ratios (HR) 1.23, 95% confidence interval (CI) 1.01-1.49], 28-day (1.38, 1.19-1.61), and 90-day (1.36, 1.19-1.56) overall mortality. For every 1 ℃ decrease in body temperature, adjusted survival rates were likely to eliminate 14.6% during the 1-year follow-up. The DCA suggested the applicability of the model 3 in clinical practice and the RCS revealed a consistent higher mortality in hypothermia group.
Low body temperature was associated with increased mortality in critically ill patients with coronary heart disease.
本研究旨在探讨冠心病(CHD)危重症患者低体温与结局的相关性。
根据 ICU 口腔测量的体温,将来自 Medical Information Mart for Intensive Care(MIMIC)-IV 的参与者分为三组(≤36.5℃、36.6-37.4℃、≥37.5℃)。主要结局为院内、28 天和 90 天死亡率。多变量 Cox 回归、决策曲线分析(DCA)、限制立方样条(RCS)、Kaplan-Meier 曲线(有无倾向评分匹配)和亚组分析用于研究体温与结局之间的关系。
共纳入 8577 例患者(65%为男性)。院内、28 天、90 天和 1 年总死亡率分别为 10.9%、16.7%、21.5%和 30.4%。多变量 Cox 比例风险回归分析表明,与正常体温患者相比,低温患者的院内[校正后的危险比(HR)1.23,95%置信区间(CI)1.01-1.49]、28 天(1.38,1.19-1.61)和 90 天(1.36,1.19-1.56)总死亡率更高。体温每降低 1℃,校正后的 1 年生存率可能降低 14.6%。DCA 表明模型 3 在临床实践中的适用性,RCS 显示低温组的死亡率始终较高。
低体温与冠心病危重症患者死亡率升高相关。