Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1784697596898443264 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9056262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenshaoqiu associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT gaozitong associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT huling associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT zuoyi associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT fuyuanyuan associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT weimeilin associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT zitelloemory associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT huanggang associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina AT dengyouping associationofsepticshockwithmortalityinhospitalizedcovid19patientsinwuhanchina |