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Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

OBJECTIVE: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. METHODS: A retrospective follow-up design was adopt...

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Autores principales: MA, Yan, ZHU, Dong Shan, CHEN, Ren Bo, SHI, Nan Nan, LIU, Si Hong, FAN, Yi Pin, WU, Gui Hui, YANG, Pu Ye, BAI, Jiang Feng, CHEN, Hong, CHEN, Li Ying, FENG, Qiao, GUO, Tuan Mao, HOU, Yong, HU, Gui Fen, HU, Xiao Mei, HU, Yun Hong, HUANG, Jin, HUANG, Qiu Hua, HUANG, Shao Zhen, JI, Liang, JIN, Hai Hao, LEI, Xiao, LI, Chun Yan, LI, Min Qing, LI, Qun Tang, LI, Xian Yong, LIU, Hong De, LIU, Jin Ping, LIU, Zhang, MA, Yu Ting, MAO, Ya, MO, Liu Fen, NA, Hui, WANG, Jing Wei, SONG, Fang Li, SUN, Sheng, WANG, Dong Ting, WANG, Ming Xuan, WANG, Xiao Yan, WANG, Yin Zhen, WANG, Yu Dong, WU, Wei, WU, Lan Ping, XIAO, Yan Hua, XIE, Hai Jun, XU, Hong Ming, XU, Shou Fang, XUE, Rui Xia, YANG, Chun, YANG, Kai Jun, YUAN, Sheng Li, ZHANG, Gong Qi, ZHANG, Jin Bo, ZHANG, Lin Song, ZHAO, Shu Sen, ZHAO, Wan Ying, ZHENG, Kai, ZHOU, Ying Chun, ZHU, Jun Teng, ZHU, Tian Qing, ZHANG, Hua Min, WANG, Yan Ping, WANG, Yong Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Editorial Board of Biomedical and Environmental Sciences. Published by Elsevier (Singapore) Pte Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817475/
https://www.ncbi.nlm.nih.gov/pubmed/33472729
http://dx.doi.org/10.3967/bes2020.123
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author MA, Yan
ZHU, Dong Shan
CHEN, Ren Bo
SHI, Nan Nan
LIU, Si Hong
FAN, Yi Pin
WU, Gui Hui
YANG, Pu Ye
BAI, Jiang Feng
CHEN, Hong
CHEN, Li Ying
FENG, Qiao
GUO, Tuan Mao
HOU, Yong
HU, Gui Fen
HU, Xiao Mei
HU, Yun Hong
HUANG, Jin
HUANG, Qiu Hua
HUANG, Shao Zhen
JI, Liang
JIN, Hai Hao
LEI, Xiao
LI, Chun Yan
LI, Min Qing
LI, Qun Tang
LI, Xian Yong
LIU, Hong De
LIU, Jin Ping
LIU, Zhang
MA, Yu Ting
MAO, Ya
MO, Liu Fen
NA, Hui
WANG, Jing Wei
SONG, Fang Li
SUN, Sheng
WANG, Dong Ting
WANG, Ming Xuan
WANG, Xiao Yan
WANG, Yin Zhen
WANG, Yu Dong
WU, Wei
WU, Lan Ping
XIAO, Yan Hua
XIE, Hai Jun
XU, Hong Ming
XU, Shou Fang
XUE, Rui Xia
YANG, Chun
YANG, Kai Jun
YUAN, Sheng Li
ZHANG, Gong Qi
ZHANG, Jin Bo
ZHANG, Lin Song
ZHAO, Shu Sen
ZHAO, Wan Ying
ZHENG, Kai
ZHOU, Ying Chun
ZHU, Jun Teng
ZHU, Tian Qing
ZHANG, Hua Min
WANG, Yan Ping
WANG, Yong Yan
author_facet MA, Yan
ZHU, Dong Shan
CHEN, Ren Bo
SHI, Nan Nan
LIU, Si Hong
FAN, Yi Pin
WU, Gui Hui
YANG, Pu Ye
BAI, Jiang Feng
CHEN, Hong
CHEN, Li Ying
FENG, Qiao
GUO, Tuan Mao
HOU, Yong
HU, Gui Fen
HU, Xiao Mei
HU, Yun Hong
HUANG, Jin
HUANG, Qiu Hua
HUANG, Shao Zhen
JI, Liang
JIN, Hai Hao
LEI, Xiao
LI, Chun Yan
LI, Min Qing
LI, Qun Tang
LI, Xian Yong
LIU, Hong De
LIU, Jin Ping
LIU, Zhang
MA, Yu Ting
MAO, Ya
MO, Liu Fen
NA, Hui
WANG, Jing Wei
SONG, Fang Li
SUN, Sheng
WANG, Dong Ting
WANG, Ming Xuan
WANG, Xiao Yan
WANG, Yin Zhen
WANG, Yu Dong
WU, Wei
WU, Lan Ping
XIAO, Yan Hua
XIE, Hai Jun
XU, Hong Ming
XU, Shou Fang
XUE, Rui Xia
YANG, Chun
YANG, Kai Jun
YUAN, Sheng Li
ZHANG, Gong Qi
ZHANG, Jin Bo
ZHANG, Lin Song
ZHAO, Shu Sen
ZHAO, Wan Ying
ZHENG, Kai
ZHOU, Ying Chun
ZHU, Jun Teng
ZHU, Tian Qing
ZHANG, Hua Min
WANG, Yan Ping
WANG, Yong Yan
author_sort MA, Yan
collection PubMed
description OBJECTIVE: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. METHODS: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of the associations between comorbidities (cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of COVID-19. RESULTS: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30–6.32), type 2 diabetes (T2DM) (3.57, 2.32–5.49), cardiovascular disease (CVD) (3.78, 1.81–7.89), fatty liver disease (7.53, 1.96–28.96), hyperlipidemia (2.15, 1.26–3.67), other lung diseases (6.00, 3.01–11.96), and electrolyte imbalance (10.40, 3.00–26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89–12.75), CVD (8.47, 6.03–11.89), and electrolyte imbalance (19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46–29.64) within two weeks. CONCLUSION: Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
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spelling pubmed-78174752021-01-21 Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China MA, Yan ZHU, Dong Shan CHEN, Ren Bo SHI, Nan Nan LIU, Si Hong FAN, Yi Pin WU, Gui Hui YANG, Pu Ye BAI, Jiang Feng CHEN, Hong CHEN, Li Ying FENG, Qiao GUO, Tuan Mao HOU, Yong HU, Gui Fen HU, Xiao Mei HU, Yun Hong HUANG, Jin HUANG, Qiu Hua HUANG, Shao Zhen JI, Liang JIN, Hai Hao LEI, Xiao LI, Chun Yan LI, Min Qing LI, Qun Tang LI, Xian Yong LIU, Hong De LIU, Jin Ping LIU, Zhang MA, Yu Ting MAO, Ya MO, Liu Fen NA, Hui WANG, Jing Wei SONG, Fang Li SUN, Sheng WANG, Dong Ting WANG, Ming Xuan WANG, Xiao Yan WANG, Yin Zhen WANG, Yu Dong WU, Wei WU, Lan Ping XIAO, Yan Hua XIE, Hai Jun XU, Hong Ming XU, Shou Fang XUE, Rui Xia YANG, Chun YANG, Kai Jun YUAN, Sheng Li ZHANG, Gong Qi ZHANG, Jin Bo ZHANG, Lin Song ZHAO, Shu Sen ZHAO, Wan Ying ZHENG, Kai ZHOU, Ying Chun ZHU, Jun Teng ZHU, Tian Qing ZHANG, Hua Min WANG, Yan Ping WANG, Yong Yan Biomed Environ Sci Original Article OBJECTIVE: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. METHODS: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of the associations between comorbidities (cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of COVID-19. RESULTS: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30–6.32), type 2 diabetes (T2DM) (3.57, 2.32–5.49), cardiovascular disease (CVD) (3.78, 1.81–7.89), fatty liver disease (7.53, 1.96–28.96), hyperlipidemia (2.15, 1.26–3.67), other lung diseases (6.00, 3.01–11.96), and electrolyte imbalance (10.40, 3.00–26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89–12.75), CVD (8.47, 6.03–11.89), and electrolyte imbalance (19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46–29.64) within two weeks. CONCLUSION: Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes. The Editorial Board of Biomedical and Environmental Sciences. Published by Elsevier (Singapore) Pte Ltd. 2020-12 2021-01-20 /pmc/articles/PMC7817475/ /pubmed/33472729 http://dx.doi.org/10.3967/bes2020.123 Text en © 2020 The Editorial Board of Biomedical and Environmental Sciences Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
MA, Yan
ZHU, Dong Shan
CHEN, Ren Bo
SHI, Nan Nan
LIU, Si Hong
FAN, Yi Pin
WU, Gui Hui
YANG, Pu Ye
BAI, Jiang Feng
CHEN, Hong
CHEN, Li Ying
FENG, Qiao
GUO, Tuan Mao
HOU, Yong
HU, Gui Fen
HU, Xiao Mei
HU, Yun Hong
HUANG, Jin
HUANG, Qiu Hua
HUANG, Shao Zhen
JI, Liang
JIN, Hai Hao
LEI, Xiao
LI, Chun Yan
LI, Min Qing
LI, Qun Tang
LI, Xian Yong
LIU, Hong De
LIU, Jin Ping
LIU, Zhang
MA, Yu Ting
MAO, Ya
MO, Liu Fen
NA, Hui
WANG, Jing Wei
SONG, Fang Li
SUN, Sheng
WANG, Dong Ting
WANG, Ming Xuan
WANG, Xiao Yan
WANG, Yin Zhen
WANG, Yu Dong
WU, Wei
WU, Lan Ping
XIAO, Yan Hua
XIE, Hai Jun
XU, Hong Ming
XU, Shou Fang
XUE, Rui Xia
YANG, Chun
YANG, Kai Jun
YUAN, Sheng Li
ZHANG, Gong Qi
ZHANG, Jin Bo
ZHANG, Lin Song
ZHAO, Shu Sen
ZHAO, Wan Ying
ZHENG, Kai
ZHOU, Ying Chun
ZHU, Jun Teng
ZHU, Tian Qing
ZHANG, Hua Min
WANG, Yan Ping
WANG, Yong Yan
Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China
title Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China
title_full Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China
title_fullStr Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China
title_full_unstemmed Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China
title_short Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China
title_sort association of overlapped and un-overlapped comorbidities with covid-19 severity and treatment outcomes: a retrospective cohort study from nine provinces in china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817475/
https://www.ncbi.nlm.nih.gov/pubmed/33472729
http://dx.doi.org/10.3967/bes2020.123
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