四分位数
病危
医学
比例危险模型
重症监护室
疾病
重症监护
死亡率
内科学
生存分析
死亡风险
重症监护医学
数据库
心脏病学
置信区间
计算机科学
作者
Xiaofang Chen,Zewen Yang,Rui Shi,Xiaoyan Wang,Xuhua Li
标识
DOI:10.1038/s41598-024-80763-x
摘要
Background The stress hyperglycemia ratio (SHR) indicates relative hyperglycemia levels. Research on the impact of SHR on mortality in coronary heart disease (CHD) patients in intensive care is limited. This study explores the predictive accuracy of SHR for the prognosis of CHD patients in the ICU. Methods This study included 2,059 CHD patients from the American Medical Information Mart for Intensive Care (MIMIC-IV) database. SHR was determined using the formula: SHR = (admission glucose) (mmol/L) / (1.59 * HbA1c [%] – 2.59). Subjects were stratified into quartiles based on SHR levels to examine the correlation between SHR and in-hospital mortality. The restricted cubic splines and Cox proportional hazards models were employed to assess this association, while Kaplan-Meier survival analysis was executed to ascertain the mortality rates across the SHR quartiles. Results Among the 2059 participants (1358 men), the rates of in-hospital and ICU mortality were 8.5% and 5.25%, respectively. Analysis showed SHR as a significant predictor of increased risk for both in-hospital (HR,1.16, 95% CI: 1.02–1.32, P = 0.022) and ICU mortality (HR, 1.16, 95% CI: 1.01–1.35, P = 0.040) after adjustments. A J-shaped relationship was noted between SHR and mortality risks (p for non-linearity = 0.002, respectively). Kaplan-Meier analysis confirmed substantial differences in in-hospital and ICU mortality across SHR quartiles. Conclusions SHR significantly predicts in-hospital and ICU mortality in critically ill CHD patients, indicating that higher SHR levels correlate with longer ICU stays and increased mortality. This underscores the potential of SHR as a prognostic marker for ICU CHD patients.
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