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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 desi...

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Autores principales: Chen, Shaoqiu, Gao, Zitong, Hu, Ling, Zuo, Yi, Fu, Yuanyuan, Wei, Meilin, Zitello, Emory, Huang, Gang, Deng, Youping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9056262/
https://www.ncbi.nlm.nih.gov/pubmed/35502304
http://dx.doi.org/10.1155/2022/3178283
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author Chen, Shaoqiu
Gao, Zitong
Hu, Ling
Zuo, Yi
Fu, Yuanyuan
Wei, Meilin
Zitello, Emory
Huang, Gang
Deng, Youping
author_facet Chen, Shaoqiu
Gao, Zitong
Hu, Ling
Zuo, Yi
Fu, Yuanyuan
Wei, Meilin
Zitello, Emory
Huang, Gang
Deng, Youping
author_sort Chen, Shaoqiu
collection PubMed
description 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.
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spelling pubmed-90562622022-05-01 Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China Chen, Shaoqiu Gao, Zitong Hu, Ling Zuo, Yi Fu, Yuanyuan Wei, Meilin Zitello, Emory Huang, Gang Deng, Youping Adv Virol Research Article 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. Hindawi 2022-04-23 /pmc/articles/PMC9056262/ /pubmed/35502304 http://dx.doi.org/10.1155/2022/3178283 Text en Copyright © 2022 Shaoqiu Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Shaoqiu
Gao, Zitong
Hu, Ling
Zuo, Yi
Fu, Yuanyuan
Wei, Meilin
Zitello, Emory
Huang, Gang
Deng, Youping
Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
title Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
title_full Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
title_fullStr Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
title_full_unstemmed Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
title_short Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
title_sort association of septic shock with mortality in hospitalized covid-19 patients in wuhan, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9056262/
https://www.ncbi.nlm.nih.gov/pubmed/35502304
http://dx.doi.org/10.1155/2022/3178283
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