Cargando…

Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a new infectious disease, and acute respiratory syndrome (ARDS) plays an important role in the process of disease aggravation. The detailed clinical course and risk factors of ARDS have not been well described. MATERIAL/METHODS: We retrospectively i...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Aibin, Gao, Guiju, Wang, Sa, Chen, Meiling, Qian, Fang, Tang, Weiming, Xu, Yanli, Song, Rui, Zhuang, Liwei, Ma, Xiaoyang, Zhao, Tianwei, Guo, Xiaodi, Li, Wei, Wang, Xudong, Li, Baoliang, Hu, Chun, Chen, Zhihai, Zhang, Fujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523414/
https://www.ncbi.nlm.nih.gov/pubmed/32973126
http://dx.doi.org/10.12659/MSM.925974
_version_ 1783588382186668032
author Wang, Aibin
Gao, Guiju
Wang, Sa
Chen, Meiling
Qian, Fang
Tang, Weiming
Xu, Yanli
Song, Rui
Zhuang, Liwei
Ma, Xiaoyang
Zhao, Tianwei
Guo, Xiaodi
Li, Wei
Wang, Xudong
Li, Baoliang
Hu, Chun
Chen, Zhihai
Zhang, Fujie
author_facet Wang, Aibin
Gao, Guiju
Wang, Sa
Chen, Meiling
Qian, Fang
Tang, Weiming
Xu, Yanli
Song, Rui
Zhuang, Liwei
Ma, Xiaoyang
Zhao, Tianwei
Guo, Xiaodi
Li, Wei
Wang, Xudong
Li, Baoliang
Hu, Chun
Chen, Zhihai
Zhang, Fujie
author_sort Wang, Aibin
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) is a new infectious disease, and acute respiratory syndrome (ARDS) plays an important role in the process of disease aggravation. The detailed clinical course and risk factors of ARDS have not been well described. MATERIAL/METHODS: We retrospectively investigated the demographic, clinical, and laboratory data of adult confirmed cases of COVID-19 in Beijing Ditan Hospital from Jan 20 to Feb 29, 2020 and compared the differences between ARDS cases and non-ARDS cases. Univariate and multivariate logistic regression methods were employed to explore the risk factors associated with ARDS. RESULTS: Of the 130 adult patients enrolled in this study, the median age was 46.5 (34–62) years and 76 (58.5%) were male. ARDS developed in 26 (20.0%) and 1 (0.8%) death occurred. Fever occurred in 114 patients, with a median highest temperature of 38.5 (38–39)°C and median fever duration of 8 (3–11) days. The median time from illness onset to ARDS was 10 (6–13) days, the median time to chest CT improvement was 17 (14–21) days, and median time to negative nucleic acid test result was 27 (17–33) days. Multivariate regression analysis showed increasing odds of ARDS associated with age older than 65 years (OR=4.75, 95% CL1.26–17.89, P=0.021), lymphocyte counts [0.5–1×10(9)/L (OR=8.80, 95% CL 2.22–34.99, P=0.002); <0.5×10(9)/L(OR=36.23, 95% CL 4.63–2083.48, P=0.001)], and temperature peak ≥39.1°C (OR=5.35, 95% CL 1.38–20.76, P=0.015). CONCLUSIONS: ARDS tended to occur in the second week of the disease course. Potential risk factors for ARDS were older age (>65 years), lymphopenia (≤1.0×10(9)/L), and temperature peak (≥39.1°C). These findings could help clinicians to predict which patients will have a poor prognosis at an early stage.
format Online
Article
Text
id pubmed-7523414
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-75234142020-10-09 Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study Wang, Aibin Gao, Guiju Wang, Sa Chen, Meiling Qian, Fang Tang, Weiming Xu, Yanli Song, Rui Zhuang, Liwei Ma, Xiaoyang Zhao, Tianwei Guo, Xiaodi Li, Wei Wang, Xudong Li, Baoliang Hu, Chun Chen, Zhihai Zhang, Fujie Med Sci Monit Clinical Research BACKGROUND: Coronavirus disease 2019 (COVID-19) is a new infectious disease, and acute respiratory syndrome (ARDS) plays an important role in the process of disease aggravation. The detailed clinical course and risk factors of ARDS have not been well described. MATERIAL/METHODS: We retrospectively investigated the demographic, clinical, and laboratory data of adult confirmed cases of COVID-19 in Beijing Ditan Hospital from Jan 20 to Feb 29, 2020 and compared the differences between ARDS cases and non-ARDS cases. Univariate and multivariate logistic regression methods were employed to explore the risk factors associated with ARDS. RESULTS: Of the 130 adult patients enrolled in this study, the median age was 46.5 (34–62) years and 76 (58.5%) were male. ARDS developed in 26 (20.0%) and 1 (0.8%) death occurred. Fever occurred in 114 patients, with a median highest temperature of 38.5 (38–39)°C and median fever duration of 8 (3–11) days. The median time from illness onset to ARDS was 10 (6–13) days, the median time to chest CT improvement was 17 (14–21) days, and median time to negative nucleic acid test result was 27 (17–33) days. Multivariate regression analysis showed increasing odds of ARDS associated with age older than 65 years (OR=4.75, 95% CL1.26–17.89, P=0.021), lymphocyte counts [0.5–1×10(9)/L (OR=8.80, 95% CL 2.22–34.99, P=0.002); <0.5×10(9)/L(OR=36.23, 95% CL 4.63–2083.48, P=0.001)], and temperature peak ≥39.1°C (OR=5.35, 95% CL 1.38–20.76, P=0.015). CONCLUSIONS: ARDS tended to occur in the second week of the disease course. Potential risk factors for ARDS were older age (>65 years), lymphopenia (≤1.0×10(9)/L), and temperature peak (≥39.1°C). These findings could help clinicians to predict which patients will have a poor prognosis at an early stage. International Scientific Literature, Inc. 2020-09-25 /pmc/articles/PMC7523414/ /pubmed/32973126 http://dx.doi.org/10.12659/MSM.925974 Text en © Med Sci Monit, 2020 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Wang, Aibin
Gao, Guiju
Wang, Sa
Chen, Meiling
Qian, Fang
Tang, Weiming
Xu, Yanli
Song, Rui
Zhuang, Liwei
Ma, Xiaoyang
Zhao, Tianwei
Guo, Xiaodi
Li, Wei
Wang, Xudong
Li, Baoliang
Hu, Chun
Chen, Zhihai
Zhang, Fujie
Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study
title Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study
title_full Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study
title_fullStr Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study
title_full_unstemmed Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study
title_short Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study
title_sort clinical characteristics and risk factors of acute respiratory distress syndrome (ards) in covid-19 patients in beijing, china: a retrospective study
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523414/
https://www.ncbi.nlm.nih.gov/pubmed/32973126
http://dx.doi.org/10.12659/MSM.925974
work_keys_str_mv AT wangaibin clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT gaoguiju clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT wangsa clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT chenmeiling clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT qianfang clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT tangweiming clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT xuyanli clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT songrui clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT zhuangliwei clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT maxiaoyang clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT zhaotianwei clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT guoxiaodi clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT liwei clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT wangxudong clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT libaoliang clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT huchun clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT chenzhihai clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy
AT zhangfujie clinicalcharacteristicsandriskfactorsofacuterespiratorydistresssyndromeardsincovid19patientsinbeijingchinaaretrospectivestudy