Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China

被引:3
|
作者
Chen, Shaoqiu [1 ,2 ]
Gao, Zitong [1 ,2 ]
Hu, Ling [3 ]
Zuo, Yi [3 ]
Fu, Yuanyuan [1 ]
Wei, Meilin [4 ]
Zitello, Emory [1 ,2 ]
Huang, Gang [5 ]
Deng, Youping [1 ]
机构
[1] Univ Hawaii, John Burns Sch Med, Dept Quantitat Hlth Sci, Honolulu, HI 96813 USA
[2] Univ Hawaii, Coll Trop Agr & Human Resources, Mol Biosci & Bioengn Program, Honolulu, HI 96822 USA
[3] Wuhan Univ Sci & Technol, Tianyou Hosp, Wuhan 430065, Hubei, Peoples R China
[4] Nanchang Univ, Dept Endocrinol & Metab, Affiliated Hosp 2, Nanchang 330006, Jiangxi, Peoples R China
[5] Shanghai Univ Med & Hlth Sci, Shanghai Key Lab Mol Imaging, Shanghai 201318, Peoples R China
关键词
GLUCOSE; SEPSIS; IMMUNOSUPPRESSION; INSULIN; SLEEP; POOR;
D O I
10.1155/2022/3178283
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Purpose. Septic shock is a severe complication of COVID-19 patients. We aim to identify risk factors associated with septic shock and mortality among COVID-19 patients. Methods. A total of 212 COVID-19 confirmed patients in Wuhan were included in this retrospective study. Clinical outcomes were designated as nonseptic shock and septic shock. Log-rank test was conducted to determine any association with clinical progression. A prediction model was established using random forest. Results. The mortality of septic shock and nonshock patients with COVID-19 was 96.7% (29/30) and 3.8% (7/182). Patients taking hypnotics had a much lower chance to develop septic shock (HR = 0.096, p = 0.0014). By univariate logistic regression analysis, 40 risk factors were significantly associated with septic shock. Based on multiple regression analysis, eight risk factors were shown to be independent risk factors and these factors were then selected to build a model to predict septic shock with AUC = 0.956. These eight factors included disease severity (HR = 15, p < 0.001), age > 65 years (HR = 2.6, p = 0.012), temperature > 39.1 degrees C (HR = 2.9, p = 0.047), white blood cell count > 10 x 10(9) (HR = 6.9, p < 0.001), neutrophil count > 75 x 10(9) (HR = 2.4, p = 0.022), creatine kinase > 5 U/L (HR = 1.8, p = 0.042), glucose > 6.1 mmol/L (HR = 7, p < 0.001), and lactate > 2 mmol/L (HR = 22, p < 0.001). Conclusions. We found 40 risk factors were significantly associated with septic shock. The model contained eight independent factors that can accurately predict septic shock. The administration of hypnotics could potentially reduce the incidence of septic shock in COVID-19 patients.
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页数:9
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