Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Front Public Health. 2024 Oct 8;12:1424720. doi: 10.3389/fpubh.2024.1424720. eCollection 2024.
The purpose of this study was to identify independent risk factors affecting patient survival and explore predictors of severe cases of coronavirus disease 2019 (COVID-19).
We conducted a retrospective, observational, case-control study on adult patients with severe COVID-19 who were admitted to affiliated hospitals in Tianjin between December 18, 2022, and January 31, 2023. We used univariate and multifactorial logistic regression analyses to analyze demographic indicators, comorbidity profiles, and laboratory parameters in two groups of patients (deceased and surviving) to identify independent risk factors for death in patients with severe COVID-19.
Patients in the deceased group were older than those in the survival group ( = 0.018), and there were more cases of coexisting respiratory insufficiency in the deceased group ( = 0.002). Additionally, laboratory test results for white blood cell count (WBC) and creatine kinase (CK) showed significantly higher values in the deceased group ( = 0.047 and = 0.029, respectively), while arterial oxygen partial pressure (PAO2) showed significantly lower values compared to the survival group ( = 0.021). Age, respiratory insufficiency, WBC (highest WBC value), CK (highest CK value), and PAO2 (first PAO2 value) had area under curve (AUC) values of 0.698, 0.838, 0.721, 0.744, and 0.633, respectively.
The main risk factors for mortality in patients with severe COVID-19 that we identified in this study were the advanced age of patients, coexisting respiratory insufficiency, elevated levels of WBC and CK, and decreased levels of PAO2. Elevated WBC and CK laboratory parameters, in particular, demonstrated good predictive value for in-hospital mortality risk.
本研究旨在确定影响患者生存的独立危险因素,并探讨 2019 年冠状病毒病(COVID-19)重症病例的预测因素。
我们对 2022 年 12 月 18 日至 2023 年 1 月 31 日期间在天津附属医院住院的重症 COVID-19 成年患者进行了回顾性、观察性、病例对照研究。我们使用单因素和多因素逻辑回归分析对两组患者(死亡和存活)的人口统计学指标、合并症谱和实验室参数进行分析,以确定重症 COVID-19 患者死亡的独立危险因素。
死亡组患者年龄大于存活组(=0.018),且死亡组患者存在更多的并存呼吸功能不全(=0.002)。此外,白细胞计数(WBC)和肌酸激酶(CK)的实验室检测结果显示,死亡组的数值明显更高(=0.047 和=0.029),而动脉血氧分压(PAO2)明显低于存活组(=0.021)。年龄、呼吸功能不全、WBC(最高 WBC 值)、CK(最高 CK 值)和 PAO2(首次 PAO2 值)的曲线下面积(AUC)值分别为 0.698、0.838、0.721、0.744 和 0.633。
我们在这项研究中确定的重症 COVID-19 患者死亡的主要危险因素是患者年龄较大、并存呼吸功能不全、WBC 和 CK 水平升高以及 PAO2 水平降低。升高的 WBC 和 CK 实验室参数尤其对住院死亡率风险具有良好的预测价值。