Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783638647222829056 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7817475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Editorial Board of Biomedical and Environmental Sciences. Published by Elsevier (Singapore) Pte Ltd. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mayan associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhudongshan associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT chenrenbo associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT shinannan associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT liusihong associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT fanyipin associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wuguihui associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT yangpuye associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT baijiangfeng associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT chenhong associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT chenliying associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT fengqiao associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT guotuanmao associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT houyong associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT huguifen associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT huxiaomei associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT huyunhong associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT huangjin associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT huangqiuhua associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT huangshaozhen associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT jiliang associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT jinhaihao associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT leixiao associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT lichunyan associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT liminqing associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT liquntang associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT lixianyong associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT liuhongde associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT liujinping associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT liuzhang associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT mayuting associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT maoya associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT moliufen associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT nahui associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangjingwei associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT songfangli associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT sunsheng associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangdongting associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangmingxuan associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangxiaoyan associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangyinzhen associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangyudong associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wuwei associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wulanping associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT xiaoyanhua associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT xiehaijun associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT xuhongming associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT xushoufang associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT xueruixia associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT yangchun associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT yangkaijun associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT yuanshengli associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhanggongqi associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhangjinbo associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhanglinsong associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhaoshusen associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhaowanying associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhengkai associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhouyingchun associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhujunteng associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhutianqing associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT zhanghuamin associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangyanping associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina AT wangyongyan associationofoverlappedandunoverlappedcomorbiditieswithcovid19severityandtreatmentoutcomesaretrospectivecohortstudyfromnineprovincesinchina |