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Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study

BACKGROUND: Thousands of Coronavirus Disease 2019 (COVID-19) patients have been discharged from hospitals Persistent follow-up studies are required to evaluate the prevalence of post-COVID-19 fibrosis. METHODS: This study involves 462 laboratory-confirmed patients with COVID-19 who were admitted to...

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Autores principales: Li, Xiaohe, Shen, Chenguang, Wang, Lifei, Majumder, Sumit, Zhang, Die, Deen, M. Jamal, Li, Yanjie, Qing, Ling, Zhang, Ying, Chen, Chuming, Zou, Rongrong, Lan, Jianfeng, Huang, Ling, Peng, Cheng, Zeng, Lijiao, Liang, Yanhua, Cao, Mengli, Yang, Yang, Yang, Minghui, Tan, Guoyu, Tang, Shenghong, Liu, Lei, Yuan, Jing, Liu, Yingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267229/
https://www.ncbi.nlm.nih.gov/pubmed/34243776
http://dx.doi.org/10.1186/s12931-021-01798-6
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author Li, Xiaohe
Shen, Chenguang
Wang, Lifei
Majumder, Sumit
Zhang, Die
Deen, M. Jamal
Li, Yanjie
Qing, Ling
Zhang, Ying
Chen, Chuming
Zou, Rongrong
Lan, Jianfeng
Huang, Ling
Peng, Cheng
Zeng, Lijiao
Liang, Yanhua
Cao, Mengli
Yang, Yang
Yang, Minghui
Tan, Guoyu
Tang, Shenghong
Liu, Lei
Yuan, Jing
Liu, Yingxia
author_facet Li, Xiaohe
Shen, Chenguang
Wang, Lifei
Majumder, Sumit
Zhang, Die
Deen, M. Jamal
Li, Yanjie
Qing, Ling
Zhang, Ying
Chen, Chuming
Zou, Rongrong
Lan, Jianfeng
Huang, Ling
Peng, Cheng
Zeng, Lijiao
Liang, Yanhua
Cao, Mengli
Yang, Yang
Yang, Minghui
Tan, Guoyu
Tang, Shenghong
Liu, Lei
Yuan, Jing
Liu, Yingxia
author_sort Li, Xiaohe
collection PubMed
description BACKGROUND: Thousands of Coronavirus Disease 2019 (COVID-19) patients have been discharged from hospitals Persistent follow-up studies are required to evaluate the prevalence of post-COVID-19 fibrosis. METHODS: This study involves 462 laboratory-confirmed patients with COVID-19 who were admitted to Shenzhen Third People’s Hospital from January 11, 2020 to April 26, 2020. A total of 457 patients underwent thin-section chest CT scans during the hospitalization or after discharge to identify the pulmonary lesion. A total of 287 patients were followed up from 90 to 150 days after the onset of the disease, and lung function tests were conducted about three months after the onset. The risk factors affecting the persistence of pulmonary fibrosis were identified through regression analysis and the prediction model of the persistence of pulmonary fibrosis was established. RESULTS: Parenchymal bands, irregular interfaces, reticulation and traction bronchiectasis were the most common CT features in all COVID-19 patients. During the 0–30, 31–60, 61–90, 91–120 and > 120 days after onset, 86.87%, 74.40%, 79.56%, 68.12% and 62.03% patients developed with pulmonary fibrosis and 4.53%, 19.61%, 18.02%, 38.30% and 48.98% patients reversed pulmonary fibrosis, respectively. It was observed that Age, BMI, Fever, and Highest PCT were predictive factors for sustaining fibrosis even after 90 days from onset. A predictive model of the persistence with pulmonary fibrosis was developed based-on the Logistic Regression method with an accuracy, PPV, NPV, Sensitivity and Specificity of the model of 76%, 71%, 79%, 67%, and 82%, respectively. More than half of the COVID-19 patients revealed abnormal conditions in lung function after 90 days from onset, and the ratio of abnormal lung function did not differ on a statistically significant level between the fibrotic and non-fibrotic groups. CONCLUSIONS: Persistent pulmonary fibrosis was more likely to develop in patients with older age, higher BMI, severe/critical condition, fever, a longer viral clearance time, pre-existing disease and delayed hospitalization. Fibrosis developed in COVID-19 patients could be reversed in about a third of the patients after 120 days from onset. The pulmonary function of less than half of COVID-19 patients could turn to normal condition after three months from onset. An effective prediction model with an average area under the curve (AUC) of 0.84 was established to predict the persistence of pulmonary fibrosis in COVID-19 patients for early diagnosis.
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spelling pubmed-82672292021-07-09 Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study Li, Xiaohe Shen, Chenguang Wang, Lifei Majumder, Sumit Zhang, Die Deen, M. Jamal Li, Yanjie Qing, Ling Zhang, Ying Chen, Chuming Zou, Rongrong Lan, Jianfeng Huang, Ling Peng, Cheng Zeng, Lijiao Liang, Yanhua Cao, Mengli Yang, Yang Yang, Minghui Tan, Guoyu Tang, Shenghong Liu, Lei Yuan, Jing Liu, Yingxia Respir Res Research BACKGROUND: Thousands of Coronavirus Disease 2019 (COVID-19) patients have been discharged from hospitals Persistent follow-up studies are required to evaluate the prevalence of post-COVID-19 fibrosis. METHODS: This study involves 462 laboratory-confirmed patients with COVID-19 who were admitted to Shenzhen Third People’s Hospital from January 11, 2020 to April 26, 2020. A total of 457 patients underwent thin-section chest CT scans during the hospitalization or after discharge to identify the pulmonary lesion. A total of 287 patients were followed up from 90 to 150 days after the onset of the disease, and lung function tests were conducted about three months after the onset. The risk factors affecting the persistence of pulmonary fibrosis were identified through regression analysis and the prediction model of the persistence of pulmonary fibrosis was established. RESULTS: Parenchymal bands, irregular interfaces, reticulation and traction bronchiectasis were the most common CT features in all COVID-19 patients. During the 0–30, 31–60, 61–90, 91–120 and > 120 days after onset, 86.87%, 74.40%, 79.56%, 68.12% and 62.03% patients developed with pulmonary fibrosis and 4.53%, 19.61%, 18.02%, 38.30% and 48.98% patients reversed pulmonary fibrosis, respectively. It was observed that Age, BMI, Fever, and Highest PCT were predictive factors for sustaining fibrosis even after 90 days from onset. A predictive model of the persistence with pulmonary fibrosis was developed based-on the Logistic Regression method with an accuracy, PPV, NPV, Sensitivity and Specificity of the model of 76%, 71%, 79%, 67%, and 82%, respectively. More than half of the COVID-19 patients revealed abnormal conditions in lung function after 90 days from onset, and the ratio of abnormal lung function did not differ on a statistically significant level between the fibrotic and non-fibrotic groups. CONCLUSIONS: Persistent pulmonary fibrosis was more likely to develop in patients with older age, higher BMI, severe/critical condition, fever, a longer viral clearance time, pre-existing disease and delayed hospitalization. Fibrosis developed in COVID-19 patients could be reversed in about a third of the patients after 120 days from onset. The pulmonary function of less than half of COVID-19 patients could turn to normal condition after three months from onset. An effective prediction model with an average area under the curve (AUC) of 0.84 was established to predict the persistence of pulmonary fibrosis in COVID-19 patients for early diagnosis. BioMed Central 2021-07-09 2021 /pmc/articles/PMC8267229/ /pubmed/34243776 http://dx.doi.org/10.1186/s12931-021-01798-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Xiaohe
Shen, Chenguang
Wang, Lifei
Majumder, Sumit
Zhang, Die
Deen, M. Jamal
Li, Yanjie
Qing, Ling
Zhang, Ying
Chen, Chuming
Zou, Rongrong
Lan, Jianfeng
Huang, Ling
Peng, Cheng
Zeng, Lijiao
Liang, Yanhua
Cao, Mengli
Yang, Yang
Yang, Minghui
Tan, Guoyu
Tang, Shenghong
Liu, Lei
Yuan, Jing
Liu, Yingxia
Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study
title Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study
title_full Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study
title_fullStr Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study
title_full_unstemmed Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study
title_short Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study
title_sort pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267229/
https://www.ncbi.nlm.nih.gov/pubmed/34243776
http://dx.doi.org/10.1186/s12931-021-01798-6
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