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Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study

Rationale: Up to date, the exploration of clinical features in severe COVID-19 patients were mostly from the same center in Wuhan, China. The clinical data in other centers is limited. This study aims to explore the feasible parameters which could be used in clinical practice to predict the prognosi...

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Autores principales: Pan, Feng, Yang, Lian, Li, Yuncheng, Liang, Bo, Li, Lin, Ye, Tianhe, Li, Lingli, Liu, Dehan, Gui, Shan, Hu, Yu, Zheng, Chuansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294915/
https://www.ncbi.nlm.nih.gov/pubmed/32547323
http://dx.doi.org/10.7150/ijms.46614
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author Pan, Feng
Yang, Lian
Li, Yuncheng
Liang, Bo
Li, Lin
Ye, Tianhe
Li, Lingli
Liu, Dehan
Gui, Shan
Hu, Yu
Zheng, Chuansheng
author_facet Pan, Feng
Yang, Lian
Li, Yuncheng
Liang, Bo
Li, Lin
Ye, Tianhe
Li, Lingli
Liu, Dehan
Gui, Shan
Hu, Yu
Zheng, Chuansheng
author_sort Pan, Feng
collection PubMed
description Rationale: Up to date, the exploration of clinical features in severe COVID-19 patients were mostly from the same center in Wuhan, China. The clinical data in other centers is limited. This study aims to explore the feasible parameters which could be used in clinical practice to predict the prognosis in hospitalized patients with severe coronavirus disease-19 (COVID-19). Methods: In this case-control study, patients with severe COVID-19 in this newly established isolation center on admission between 27 January 2020 to 19 March 2020 were divided to discharge group and death event group. Clinical information was collected and analyzed for the following objectives: 1. Comparisons of basic characteristics between two groups; 2. Risk factors for death on admission using logistic regression; 3. Dynamic changes of radiographic and laboratory parameters between two groups in the course. Results: 124 patients with severe COVID-19 on admission were included and divided into discharge group (n=35) and death event group (n=89). Sex, SpO2, breath rate, diastolic pressure, neutrophil, lymphocyte, C-reactive protein (CRP), procalcitonin (PCT), lactate dehydrogenase (LDH), and D-dimer were significantly correlated with death events identified using bivariate logistic regression. Further multivariate logistic regression demonstrated a significant model fitting with C-index of 0.845 (p<0.001), in which SpO2≤89%, lymphocyte≤0.64×10(9)/L, CRP>77.35mg/L, PCT>0.20μg/L, and LDH>481U/L were the independent risk factors with the ORs of 2.959, 4.015, 2.852, 3.554, and 3.185, respectively (p<0.04). In the course, persistently lower lymphocyte with higher levels of CRP, PCT, IL-6, neutrophil, LDH, D-dimer, cardiac troponin I (cTnI), brain natriuretic peptide (BNP), and increased CD4+/CD8+ T-lymphocyte ratio and were observed in death events group, while these parameters stayed stable or improved in discharge group. Conclusions: On admission, the levels of SpO2, lymphocyte, CRP, PCT, and LDH could predict the prognosis of severe COVID-19 patients. Systematic inflammation with induced cardiac dysfunction was likely a primary reason for death events in severe COVID-19 except for acute respiratory distress syndrome.
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spelling pubmed-72949152020-06-15 Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study Pan, Feng Yang, Lian Li, Yuncheng Liang, Bo Li, Lin Ye, Tianhe Li, Lingli Liu, Dehan Gui, Shan Hu, Yu Zheng, Chuansheng Int J Med Sci Research Paper Rationale: Up to date, the exploration of clinical features in severe COVID-19 patients were mostly from the same center in Wuhan, China. The clinical data in other centers is limited. This study aims to explore the feasible parameters which could be used in clinical practice to predict the prognosis in hospitalized patients with severe coronavirus disease-19 (COVID-19). Methods: In this case-control study, patients with severe COVID-19 in this newly established isolation center on admission between 27 January 2020 to 19 March 2020 were divided to discharge group and death event group. Clinical information was collected and analyzed for the following objectives: 1. Comparisons of basic characteristics between two groups; 2. Risk factors for death on admission using logistic regression; 3. Dynamic changes of radiographic and laboratory parameters between two groups in the course. Results: 124 patients with severe COVID-19 on admission were included and divided into discharge group (n=35) and death event group (n=89). Sex, SpO2, breath rate, diastolic pressure, neutrophil, lymphocyte, C-reactive protein (CRP), procalcitonin (PCT), lactate dehydrogenase (LDH), and D-dimer were significantly correlated with death events identified using bivariate logistic regression. Further multivariate logistic regression demonstrated a significant model fitting with C-index of 0.845 (p<0.001), in which SpO2≤89%, lymphocyte≤0.64×10(9)/L, CRP>77.35mg/L, PCT>0.20μg/L, and LDH>481U/L were the independent risk factors with the ORs of 2.959, 4.015, 2.852, 3.554, and 3.185, respectively (p<0.04). In the course, persistently lower lymphocyte with higher levels of CRP, PCT, IL-6, neutrophil, LDH, D-dimer, cardiac troponin I (cTnI), brain natriuretic peptide (BNP), and increased CD4+/CD8+ T-lymphocyte ratio and were observed in death events group, while these parameters stayed stable or improved in discharge group. Conclusions: On admission, the levels of SpO2, lymphocyte, CRP, PCT, and LDH could predict the prognosis of severe COVID-19 patients. Systematic inflammation with induced cardiac dysfunction was likely a primary reason for death events in severe COVID-19 except for acute respiratory distress syndrome. Ivyspring International Publisher 2020-05-18 /pmc/articles/PMC7294915/ /pubmed/32547323 http://dx.doi.org/10.7150/ijms.46614 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Pan, Feng
Yang, Lian
Li, Yuncheng
Liang, Bo
Li, Lin
Ye, Tianhe
Li, Lingli
Liu, Dehan
Gui, Shan
Hu, Yu
Zheng, Chuansheng
Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study
title Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study
title_full Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study
title_fullStr Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study
title_full_unstemmed Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study
title_short Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study
title_sort factors associated with death outcome in patients with severe coronavirus disease-19 (covid-19): a case-control study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294915/
https://www.ncbi.nlm.nih.gov/pubmed/32547323
http://dx.doi.org/10.7150/ijms.46614
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