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A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia

Background: As global healthcare system is overwhelmed by novel coronavirus disease (COVID-19), early identification of risks of adverse outcomes becomes the key to optimize management and improve survival. This study aimed to provide a CT-based pattern categorization to predict outcome of COVID-19...

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Autores principales: Jin, Chao, Tian, Cong, Wang, Yan, Wu, Carol C., Zhao, Huifang, Liang, Ting, Liu, Zhe, Jian, Zhijie, Li, Runqing, Wang, Zekun, Li, Fen, Zhou, Jie, Cai, Shubo, Liu, Yang, Li, Hao, Li, Zhongyi, Liang, Yukun, Zhou, Heping, Wang, Xibin, Ren, Zhuanqin, Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531052/
https://www.ncbi.nlm.nih.gov/pubmed/33072703
http://dx.doi.org/10.3389/fpubh.2020.567672
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author Jin, Chao
Tian, Cong
Wang, Yan
Wu, Carol C.
Zhao, Huifang
Liang, Ting
Liu, Zhe
Jian, Zhijie
Li, Runqing
Wang, Zekun
Li, Fen
Zhou, Jie
Cai, Shubo
Liu, Yang
Li, Hao
Li, Zhongyi
Liang, Yukun
Zhou, Heping
Wang, Xibin
Ren, Zhuanqin
Yang, Jian
author_facet Jin, Chao
Tian, Cong
Wang, Yan
Wu, Carol C.
Zhao, Huifang
Liang, Ting
Liu, Zhe
Jian, Zhijie
Li, Runqing
Wang, Zekun
Li, Fen
Zhou, Jie
Cai, Shubo
Liu, Yang
Li, Hao
Li, Zhongyi
Liang, Yukun
Zhou, Heping
Wang, Xibin
Ren, Zhuanqin
Yang, Jian
author_sort Jin, Chao
collection PubMed
description Background: As global healthcare system is overwhelmed by novel coronavirus disease (COVID-19), early identification of risks of adverse outcomes becomes the key to optimize management and improve survival. This study aimed to provide a CT-based pattern categorization to predict outcome of COVID-19 pneumonia. Methods: One hundred and sixty-five patients with COVID-19 (91 men, 4–89 years) underwent chest CT were retrospectively enrolled. CT findings were categorized as Pattern 0 (negative), Pattern 1 (bronchopneumonia pattern), Pattern 2 (organizing pneumonia pattern), Pattern 3 (progressive organizing pneumonia pattern), and Pattern 4 (diffuse alveolar damage pattern). Clinical findings were compared across different categories. Time-dependent progression of CT patterns and correlations with clinical outcomes, i.e.„ discharge or adverse outcome (admission to ICU, requiring mechanical ventilation, or death), with pulmonary sequelae (complete absorption or residuals) on CT after discharge were analyzed. Results: Of 94 patients with outcome, 81 (86.2%) were discharged, 3 (3.2%) were admitted to ICU, 4 (4.3%) required mechanical ventilation, 6 (6.4%) died. 31 (38.3%) had complete absorption at median day 37 after symptom onset. Significant differences between pattern-categories were found in age, disease severity, comorbidity and laboratory results (all P < 0.05). Remarkable evolution was observed in Pattern 0–2 and Pattern 3–4 within 3 and 2 weeks after symptom-onset, respectively; most of patterns remained thereafter. After controlling for age, CT pattern significantly correlated with adverse outcomes [Pattern 4 vs. Pattern 0–3 [reference]; hazard-ratio [95% CI], 18.90 [1.91–186.60], P = 0.012]. CT pattern [Pattern 3–4 vs. Pattern 0–2 [reference]; 0.26 [0.08–0.88], P = 0.030] and C-reactive protein [>10 vs. ≤ 10 mg/L [reference]; 0.31 [0.13–0.72], P = 0.006] were risk factors associated with pulmonary residuals. Conclusion: CT pattern categorization allied with clinical characteristics within 2 weeks after symptom onset would facilitate early prognostic stratification in COVID-19 pneumonia.
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spelling pubmed-75310522020-10-17 A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia Jin, Chao Tian, Cong Wang, Yan Wu, Carol C. Zhao, Huifang Liang, Ting Liu, Zhe Jian, Zhijie Li, Runqing Wang, Zekun Li, Fen Zhou, Jie Cai, Shubo Liu, Yang Li, Hao Li, Zhongyi Liang, Yukun Zhou, Heping Wang, Xibin Ren, Zhuanqin Yang, Jian Front Public Health Public Health Background: As global healthcare system is overwhelmed by novel coronavirus disease (COVID-19), early identification of risks of adverse outcomes becomes the key to optimize management and improve survival. This study aimed to provide a CT-based pattern categorization to predict outcome of COVID-19 pneumonia. Methods: One hundred and sixty-five patients with COVID-19 (91 men, 4–89 years) underwent chest CT were retrospectively enrolled. CT findings were categorized as Pattern 0 (negative), Pattern 1 (bronchopneumonia pattern), Pattern 2 (organizing pneumonia pattern), Pattern 3 (progressive organizing pneumonia pattern), and Pattern 4 (diffuse alveolar damage pattern). Clinical findings were compared across different categories. Time-dependent progression of CT patterns and correlations with clinical outcomes, i.e.„ discharge or adverse outcome (admission to ICU, requiring mechanical ventilation, or death), with pulmonary sequelae (complete absorption or residuals) on CT after discharge were analyzed. Results: Of 94 patients with outcome, 81 (86.2%) were discharged, 3 (3.2%) were admitted to ICU, 4 (4.3%) required mechanical ventilation, 6 (6.4%) died. 31 (38.3%) had complete absorption at median day 37 after symptom onset. Significant differences between pattern-categories were found in age, disease severity, comorbidity and laboratory results (all P < 0.05). Remarkable evolution was observed in Pattern 0–2 and Pattern 3–4 within 3 and 2 weeks after symptom-onset, respectively; most of patterns remained thereafter. After controlling for age, CT pattern significantly correlated with adverse outcomes [Pattern 4 vs. Pattern 0–3 [reference]; hazard-ratio [95% CI], 18.90 [1.91–186.60], P = 0.012]. CT pattern [Pattern 3–4 vs. Pattern 0–2 [reference]; 0.26 [0.08–0.88], P = 0.030] and C-reactive protein [>10 vs. ≤ 10 mg/L [reference]; 0.31 [0.13–0.72], P = 0.006] were risk factors associated with pulmonary residuals. Conclusion: CT pattern categorization allied with clinical characteristics within 2 weeks after symptom onset would facilitate early prognostic stratification in COVID-19 pneumonia. Frontiers Media S.A. 2020-09-18 /pmc/articles/PMC7531052/ /pubmed/33072703 http://dx.doi.org/10.3389/fpubh.2020.567672 Text en Copyright © 2020 Jin, Tian, Wang, Wu, Zhao, Liang, Liu, Jian, Li, Wang, Li, Zhou, Cai, Liu, Li, Li, Liang, Zhou, Wang, Ren and Yang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Jin, Chao
Tian, Cong
Wang, Yan
Wu, Carol C.
Zhao, Huifang
Liang, Ting
Liu, Zhe
Jian, Zhijie
Li, Runqing
Wang, Zekun
Li, Fen
Zhou, Jie
Cai, Shubo
Liu, Yang
Li, Hao
Li, Zhongyi
Liang, Yukun
Zhou, Heping
Wang, Xibin
Ren, Zhuanqin
Yang, Jian
A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia
title A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia
title_full A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia
title_fullStr A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia
title_full_unstemmed A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia
title_short A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia
title_sort pattern categorization of ct findings to predict outcome of covid-19 pneumonia
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531052/
https://www.ncbi.nlm.nih.gov/pubmed/33072703
http://dx.doi.org/10.3389/fpubh.2020.567672
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