Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783720103410401280 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8267229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lixiaohe pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT shenchenguang pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT wanglifei pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT majumdersumit pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT zhangdie pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT deenmjamal pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT liyanjie pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT qingling pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT zhangying pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT chenchuming pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT zourongrong pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT lanjianfeng pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT huangling pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT pengcheng pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT zenglijiao pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT liangyanhua pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT caomengli pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT yangyang pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT yangminghui pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT tanguoyu pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT tangshenghong pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT liulei pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT yuanjing pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy AT liuyingxia pulmonaryfibrosisanditsrelatedfactorsindischargedpatientswithnewcoronaviruspneumoniaacohortstudy |