Shaoqiu Chen, Zitong Gao, Ling Hu, Y. Zuo, Yuanyuan Fu, Meilin Wei, Emory Zitello, G. Huang, Youping Deng
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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°C (HR = 2.9, p=0.047), white blood cell count > 10 × 10⁹ (HR = 6.9, p < 0.001), neutrophil count > 75 × 10⁹ (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.","PeriodicalId":7473,"journal":{"name":"Advances in Virology","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China\",\"authors\":\"Shaoqiu Chen, Zitong Gao, Ling Hu, Y. Zuo, Yuanyuan Fu, Meilin Wei, Emory Zitello, G. Huang, Youping Deng\",\"doi\":\"10.1155/2022/3178283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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°C (HR = 2.9, p=0.047), white blood cell count > 10 × 10⁹ (HR = 6.9, p < 0.001), neutrophil count > 75 × 10⁹ (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.\",\"PeriodicalId\":7473,\"journal\":{\"name\":\"Advances in Virology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Virology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2022/3178283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"VIROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Virology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2022/3178283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"VIROLOGY","Score":null,"Total":0}
引用次数: 7
摘要
目的感染性休克是新冠肺炎患者的严重并发症。我们的目的是确定与COVID-19患者感染性休克和死亡率相关的危险因素。方法对武汉市212例新冠肺炎确诊患者进行回顾性研究。临床结果分为非感染性休克和感染性休克。进行Log-rank检验以确定是否与临床进展相关。利用随机森林建立预测模型。结果感染性休克和非休克患者病死率分别为96.7%(29/30)和3.8%(7/182)。服用催眠药的患者发生感染性休克的几率较低(HR = 0.096, p=0.0014)。经单因素logistic回归分析,有40个危险因素与脓毒性休克显著相关。经多元回归分析,8个危险因素为独立危险因素,选取这些危险因素建立预测脓毒性休克的模型,AUC = 0.956。这八个因素包括疾病严重程度(HR = 15, p < 0.001),年龄> 65岁(HR = 2.6, p = 0.012),温度> 39.1°C (HR = 2.9, p = 0.047),白细胞计数> 10×10⁹(HR = 6.9, p < 0.001),中性粒细胞计数> 75×10⁹(HR = 2.4, p = 0.022),肌酸激酶> 5 U / L (HR = 1.8, p = 0.042),葡萄糖> 6.1更易/ L (HR = 7, p < 0.001),和乳酸> 2更易与L (HR = 22, p < 0.001)。结论发现有40种危险因素与脓毒性休克显著相关。该模型包含8个独立因素,可准确预测感染性休克。催眠药的使用可能会降低COVID-19患者感染性休克的发生率。
Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
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°C (HR = 2.9, p=0.047), white blood cell count > 10 × 10⁹ (HR = 6.9, p < 0.001), neutrophil count > 75 × 10⁹ (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.