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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.


ABSTRACT:

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.

SUBMITTER: Ma Y 

PROVIDER: S-EPMC7817475 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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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.

Ma Yan Y   Zhu Dong Shan DS   Chen Ren Bo RB   Shi Nan Nan NN   Liu Si Hong SH   Fan Yi Pin YP   Wu Gui Hui GH   Yang Pu Ye PY   Bai Jiang Feng JF   Chen Hong H   Chen Li Ying LY   Feng Qiao Q   Guo Tuan Mao TM   Hou Yong Y   Hu Gui Fen GF   Hu Xiao Mei XM   Hu Yun Hong YH   Huang Jin J   Huang Qiu Hua QH   Huang Shao Zhen SZ   Ji Liang L   Jin Hai Hao HH   Lei Xiao X   Li Chun Yan CY   Li Min Qing MQ   Li Qun Tang QT   Li Xian Yong XY   Liu Hong De H   Liu Jin Ping JP   Liu Zhang Z   Ma Yu Ting YT   Mao Ya Y   Mo Liu Fen LF   Na Hui H   Wang Jing Wei JW   Song Fang Li FL   Sun Sheng S   Wang Dong Ting DT   Wang Ming Xuan MX   Wang Xiao Yan XY   Wang Yin Zhen YZ   Wang Yu Dong YD   Wu Wei W   Wu Lan Ping LP   Xiao Yan Hua YH   Xie Hai Jun HJ   Xu Hong Ming HM   Xu Shou Fang SF   Xue Rui Xia RX   Yang Chun C   Yang Kai Jun KJ   Yuan Sheng Li SL   Zhang Gong Qi GQ   Zhang Jin Bo JB   Zhang Lin Song LS   Zhao Shu Sen SS   Zhao Wan Ying WY   Zheng Kai K   Zhou Ying Chun YC   Zhu Jun Teng JT   Zhu Tian Qing TQ   Zhang Hua Min HM   Wang Yan Ping YP   Wang Yong Yan YY  

Biomedical and environmental sciences : BES 20201201 12


<h4>Objective</h4>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.<h4>Methods</h4>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 logist  ...[more]

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