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Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study

OBJECTIVE: To identify the risk factors for predicting the dynamic progression of COVID-19. METHODS: A total of 2321 eligible patients were included in this study from February 4 to April 15, 2020. Two illness conditions, including mild/moderate (M/M) subtype to severe/critical (S/C) and S/C to fata...

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Autores principales: Liu, Miaomiao, Jiang, Hua, Li, Yujuan, Li, Chunmei, Tan, Zhijun, Jin, Faguang, Zhang, Tao, Nan, Yandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364400/
https://www.ncbi.nlm.nih.gov/pubmed/34408476
http://dx.doi.org/10.2147/IJGM.S325112
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author Liu, Miaomiao
Jiang, Hua
Li, Yujuan
Li, Chunmei
Tan, Zhijun
Jin, Faguang
Zhang, Tao
Nan, Yandong
author_facet Liu, Miaomiao
Jiang, Hua
Li, Yujuan
Li, Chunmei
Tan, Zhijun
Jin, Faguang
Zhang, Tao
Nan, Yandong
author_sort Liu, Miaomiao
collection PubMed
description OBJECTIVE: To identify the risk factors for predicting the dynamic progression of COVID-19. METHODS: A total of 2321 eligible patients were included in this study from February 4 to April 15, 2020. Two illness conditions, including mild/moderate (M/M) subtype to severe/critical (S/C) and S/C to fatality, were classified. Clinical message was collected and compared, respectively. Kaplan–Meier method, Cox regression model and risk score system were used to predict disease progression in S/C COVID-19. RESULTS: A total of 112 of 1761 patients with M/M subtype were progressors (P) and 1649 non-progressors (NP). Increasing disease progression associated with higher levels of neutrophils count (HR=1.958, 95% CI=1.253–3.059, P=0.003), CK (HR=2.203, 95% CI=1.048–4.632, P=0.037), LDH (HR=3.309, 95% CI=2.083–5.256, P<0.001) and CRP (HR=2.575, 95% CI=1.638–4.049, P<0.001), and lower level of lymphocytes count (HR=1.549, 95% CI=1.018–2.355, P=0.041), as well as total lesion volume ratio greater than ≥10% (HR=2.286, 95% CI=1.451–3.601, P<0.001) on admission. In progression to fatality, 56 of the 672 S/C cases died and 616 survived. Increasing fatality associated with lower level of lymphocytes count (HR:2.060, 95% CI:1.000–4.242, P=0.050), higher levels of BUN (HR:2.715, 95% CI:1.539–4.790, P<0.001), CK-MB (HR:3.412, 95% CI:1.760–6.616, P<0.001), LDH (HR:5.578, 95% CI:2.317–13.427, P<0.001), and PT (HR:3.619, 95% CI:2.102–6.231, P<0.001). Furthermore, high risk of neutrophils count, lymphocytes count, CK, LDH, CRP, and total lesion volume ratio was powerfully correlated with the incidence of progression to S/C in patients with NS COVID-19 and high odds of lymphocytes count, BUN, CK-MB, LDH, and PT were significantly associated with death in patients with S/C COVID-19. In addition, the progression and mortality rates increased with increasing risk scores. CONCLUSION: Elevated LDH level and lymphopenia were independent predictors for COVID-19 sustainable management in classifying non-severe patients who progressed to severe condition and identifying S/C patients who deteriorated to fatal outcomes as well. Total lesion volume ratio ≥10% may provide early predictive evidence with COVID-19 patients at high risk of developing into S/C to improve prognosis.
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spelling pubmed-83644002021-08-17 Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study Liu, Miaomiao Jiang, Hua Li, Yujuan Li, Chunmei Tan, Zhijun Jin, Faguang Zhang, Tao Nan, Yandong Int J Gen Med Original Research OBJECTIVE: To identify the risk factors for predicting the dynamic progression of COVID-19. METHODS: A total of 2321 eligible patients were included in this study from February 4 to April 15, 2020. Two illness conditions, including mild/moderate (M/M) subtype to severe/critical (S/C) and S/C to fatality, were classified. Clinical message was collected and compared, respectively. Kaplan–Meier method, Cox regression model and risk score system were used to predict disease progression in S/C COVID-19. RESULTS: A total of 112 of 1761 patients with M/M subtype were progressors (P) and 1649 non-progressors (NP). Increasing disease progression associated with higher levels of neutrophils count (HR=1.958, 95% CI=1.253–3.059, P=0.003), CK (HR=2.203, 95% CI=1.048–4.632, P=0.037), LDH (HR=3.309, 95% CI=2.083–5.256, P<0.001) and CRP (HR=2.575, 95% CI=1.638–4.049, P<0.001), and lower level of lymphocytes count (HR=1.549, 95% CI=1.018–2.355, P=0.041), as well as total lesion volume ratio greater than ≥10% (HR=2.286, 95% CI=1.451–3.601, P<0.001) on admission. In progression to fatality, 56 of the 672 S/C cases died and 616 survived. Increasing fatality associated with lower level of lymphocytes count (HR:2.060, 95% CI:1.000–4.242, P=0.050), higher levels of BUN (HR:2.715, 95% CI:1.539–4.790, P<0.001), CK-MB (HR:3.412, 95% CI:1.760–6.616, P<0.001), LDH (HR:5.578, 95% CI:2.317–13.427, P<0.001), and PT (HR:3.619, 95% CI:2.102–6.231, P<0.001). Furthermore, high risk of neutrophils count, lymphocytes count, CK, LDH, CRP, and total lesion volume ratio was powerfully correlated with the incidence of progression to S/C in patients with NS COVID-19 and high odds of lymphocytes count, BUN, CK-MB, LDH, and PT were significantly associated with death in patients with S/C COVID-19. In addition, the progression and mortality rates increased with increasing risk scores. CONCLUSION: Elevated LDH level and lymphopenia were independent predictors for COVID-19 sustainable management in classifying non-severe patients who progressed to severe condition and identifying S/C patients who deteriorated to fatal outcomes as well. Total lesion volume ratio ≥10% may provide early predictive evidence with COVID-19 patients at high risk of developing into S/C to improve prognosis. Dove 2021-08-10 /pmc/articles/PMC8364400/ /pubmed/34408476 http://dx.doi.org/10.2147/IJGM.S325112 Text en © 2021 Liu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Liu, Miaomiao
Jiang, Hua
Li, Yujuan
Li, Chunmei
Tan, Zhijun
Jin, Faguang
Zhang, Tao
Nan, Yandong
Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study
title Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study
title_full Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study
title_fullStr Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study
title_full_unstemmed Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study
title_short Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study
title_sort independent risk factors for the dynamic development of covid-19: a retrospective study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364400/
https://www.ncbi.nlm.nih.gov/pubmed/34408476
http://dx.doi.org/10.2147/IJGM.S325112
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