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Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China

BACKGROUND: A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear. OBJECTIVE: Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19. STUDY DESIGN: This is a...

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Detalles Bibliográficos
Autores principales: Zhang, Jun, Yu, Miao, Tong, Song, Liu, Lu-Yu, Tang, Liang-V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187844/
https://www.ncbi.nlm.nih.gov/pubmed/32361327
http://dx.doi.org/10.1016/j.jcv.2020.104392
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author Zhang, Jun
Yu, Miao
Tong, Song
Liu, Lu-Yu
Tang, Liang-V.
author_facet Zhang, Jun
Yu, Miao
Tong, Song
Liu, Lu-Yu
Tang, Liang-V.
author_sort Zhang, Jun
collection PubMed
description BACKGROUND: A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear. OBJECTIVE: Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19. STUDY DESIGN: This is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared. RESULTS: Among these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47−0.63] vs 1.30 G/L [0.95−1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00–5.00] vs 4.00 [2.00−5.00]), serum C‐reactive protein (CRP, 79.52 mg/L [61.25−102.98] vs 7.93 mg/L [3.14−22.50]), IL-6 (35.72 pg/mL [9.24−85.19] vs 5.09 pg/mL [3.16−9.72]), and IL-10 (5.35 pg/mL [4.48−7.84] vs 3.97 pg/mL [3.34−4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8−342.1]), comorbidity (OR, 52.6 [3.6−776.4]), lymphopenia (OR, 17.3 [1.1−261.8]), and elevated CRP (OR, 96.5 [4.6−2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients. CONCLUSIONS: This finding would facilitate the early identification of high-risk COVID-19 patients.
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spelling pubmed-71878442020-04-28 Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China Zhang, Jun Yu, Miao Tong, Song Liu, Lu-Yu Tang, Liang-V. J Clin Virol Article BACKGROUND: A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear. OBJECTIVE: Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19. STUDY DESIGN: This is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared. RESULTS: Among these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47−0.63] vs 1.30 G/L [0.95−1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00–5.00] vs 4.00 [2.00−5.00]), serum C‐reactive protein (CRP, 79.52 mg/L [61.25−102.98] vs 7.93 mg/L [3.14−22.50]), IL-6 (35.72 pg/mL [9.24−85.19] vs 5.09 pg/mL [3.16−9.72]), and IL-10 (5.35 pg/mL [4.48−7.84] vs 3.97 pg/mL [3.34−4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8−342.1]), comorbidity (OR, 52.6 [3.6−776.4]), lymphopenia (OR, 17.3 [1.1−261.8]), and elevated CRP (OR, 96.5 [4.6−2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients. CONCLUSIONS: This finding would facilitate the early identification of high-risk COVID-19 patients. Elsevier B.V. 2020-06 2020-04-28 /pmc/articles/PMC7187844/ /pubmed/32361327 http://dx.doi.org/10.1016/j.jcv.2020.104392 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Zhang, Jun
Yu, Miao
Tong, Song
Liu, Lu-Yu
Tang, Liang-V.
Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China
title Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China
title_full Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China
title_fullStr Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China
title_full_unstemmed Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China
title_short Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China
title_sort predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in wuhan, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187844/
https://www.ncbi.nlm.nih.gov/pubmed/32361327
http://dx.doi.org/10.1016/j.jcv.2020.104392
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