Predictive value of stress hyperglycemia ratio on one-year mortality in chronic kidney disease patients admitted to intensive care unit

被引:0
作者
An, Shuoyan [1 ]
Ye, Zixiang [2 ]
Che, Wuqiang [1 ]
Gao, Yanxiang [1 ]
Ren, Jingyi [1 ]
Li, Jiahui [1 ]
Zheng, Jingang [1 ,2 ]
机构
[1] China Japan Friendship Hosp, Dept Cardiol, 2 East Yinghua Rd, Beijing 100029, Peoples R China
[2] Peking Univ China Japan Friendship Sch Clin Med, Dept Cardiol, Beijing 100029, Peoples R China
关键词
Stress hyperglycemia Ratio(1); Chronic kidney disease(2); Mortality(3); RELATIVE HYPERGLYCEMIA; OUTCOMES; IMPACT;
D O I
10.1186/s12882-024-03823-4
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background Stress Hyperglycemia Ratio (SHR) reflects the acute blood glucose variation in critically ill conditions. However, its prognostic value in chronic kidney disease (CKD) remains understudied. This study aimed to investigate the association between SHR and one-year mortality in CKD patients hospitalized in the Intensive Care Unit (ICU). Methods Patients with diagnosis of CKD in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were enrolled. Incidence of all-cause mortality within one-year follow-up was used as the primary endpoint. Results 1825 CKD patients were included in the study. A "U-shaped" relationship between SHR and one-year mortality as identified using multivariate restricted cubic spline (RCS) analysis. Then study population were categorized into three groups: Group 1 (SHR < 0.70), Group 2 (0.70 <= SHR <= 0.95) and Group 3 (SHR > 0.95). Group 2 showed significantly better one-year outcomes compared to the other two groups (p = 0.0031). This survival benefit persisted across subgroup analyses stratified by age, sex, CKD stage, anemia and various clinical conditions. Conclusion SHR proved to be a meaningful biomarker for predicting one-year mortality in ICU-admitted CKD patients, with a "U-shaped" correlation. The identification of the optimal SHR range (0.70-0.95) provided clinicians with a valuable tool for detecting high-risk populations.
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