Ma Chaoping, Jiang Weisong, Li Juan, Sun Wenwu, Zhang Jiyuan, Xu Peixian, Guo Yiran, Ning Ning, Li Jiaoyan, Zhao Bing, Mao Enqiang, Gao Chengjin
Departments of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, People's Republic of China.
Departments of Emergency, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, People's Republic of China.
J Inflamm Res. 2024 Oct 30;17:7939-7950. doi: 10.2147/JIR.S476898. eCollection 2024.
In critically ill patients, the stress hyperglycemia ratio (SHR) was significantly associated with mortality. However, the relationship between SHR and mortality in septic patients is still unclear.In this study, patients with sepsis from two Chinese academic centers were identified and divided into quartiles based on SHR levels.
Multivariable regression analysis will be used to determine associations between SHR and clinical outcomes in sepsis patients.The Kaplan-Meier curve was used to predict mortality in various groups of septic patients.
A total of 1835 septic patients were included in the study.The in-hospital, 30-day, and 60-day mortality rates for all septic patients were 22.8%, 18.7%, and 21.7%, respectively. Increased SHR was significantly associated with hospital mortality in multivariate regression analysis.These results were further confirmed in the adjusted analysis, where the hospital mortality and the 60-day mortality of the highest SHR quartile were significantly increased compared to the lowest SHR quartile. However, the highest SHR quartile was not associated with 30-day mortality.In addition, the risk of in-hospital mortality, 30-day mortality and 60-day mortality showed a consistent upward trend with increasing SHR quartile. The survival curve showed that the worst prognosis was in the fourth SHR quartile.
In conclusion, SHR was significantly associated with hospital mortality in patients with sepsis. This finding indicates that the SHR may be useful in identifying septic patients at higher risk of hospital mortality.
在危重症患者中，应激性高血糖比率（SHR）与死亡率显著相关。然而，SHR与脓毒症患者死亡率之间的关系仍不明确。在本研究中，对来自两个中国学术中心的脓毒症患者进行了识别，并根据SHR水平将其分为四分位数组。
将采用多变量回归分析来确定SHR与脓毒症患者临床结局之间的关联。采用Kaplan-Meier曲线预测不同组脓毒症患者的死亡率。
本研究共纳入1835例脓毒症患者。所有脓毒症患者的院内死亡率、30天死亡率和60天死亡率分别为22.8%、18.7%和21.7%。在多变量回归分析中，SHR升高与医院死亡率显著相关。在调整分析中进一步证实了这些结果，其中SHR最高四分位数组的医院死亡率和60天死亡率与SHR最低四分位数组相比显著升高。然而，SHR最高四分位数组与30天死亡率无关。此外，随着SHR四分位数的增加，院内死亡率、30天死亡率和60天死亡率的风险呈一致的上升趋势。生存曲线显示，SHR第四四分位数组的预后最差。
总之，SHR与脓毒症患者的医院死亡率显著相关。这一发现表明，SHR可能有助于识别医院死亡率较高风险的脓毒症患者。
