Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China.
- Author:
Yan MA
1
;
Dong Shan ZHU
2
;
Ren Bo CHEN
1
;
Nan Nan SHI
1
;
Si Hong LIU
3
;
Yi Pin FAN
1
;
Gui Hui WU
4
;
Pu Ye YANG
5
;
Jiang Feng BAI
6
;
Hong CHEN
7
;
Li Ying CHEN
8
;
Qiao FENG
9
;
Tuan Mao GUO
10
;
Yong HOU
11
;
Gui Fen HU
12
;
Xiao Mei HU
13
;
Yun Hong HU
14
;
Jin HUANG
15
;
Qiu Hua HUANG
15
;
Shao Zhen HUANG
16
;
Liang JI
17
;
Hai Hao JIN
18
;
Xiao LEI
19
;
Chun Yan LI
20
;
Min Qing LI
21
;
Qun Tang LI
22
;
Xian Yong LI
23
;
Hong De LIU
24
;
Jin Ping LIU
25
;
Zhang LIU
26
;
Yu Ting MA
27
;
Ya MAO
28
;
Liu Fen MO
29
;
Hui NA
30
;
Jing Wei WANG
30
;
Fang Li SONG
31
;
Sheng SUN
32
;
Dong Ting WANG
33
;
Ming Xuan WANG
34
;
Xiao Yan WANG
35
;
Yin Zhen WANG
36
;
Yu Dong WANG
37
;
Wei WU
38
;
Lan Ping WU
39
;
Yan Hua XIAO
40
;
Hai Jun XIE
41
;
Hong Ming XU
42
;
Shou Fang XU
43
;
Rui Xia XUE
44
;
Chun YANG
45
;
Kai Jun YANG
46
;
Sheng Li YUAN
47
;
Gong Qi ZHANG
48
;
Jin Bo ZHANG
49
;
Lin Song ZHANG
50
;
Shu Sen ZHAO
51
;
Wan Ying ZHAO
52
;
Kai ZHENG
53
;
Ying Chun ZHOU
54
;
Jun Teng ZHU
55
;
Tian Qing ZHU
56
;
Hua Min ZHANG
57
,
58
;
Yan Ping WANG
1
;
Yong Yan WANG
1
Author Information
- Collective Name:'lung cleansing & detoxifying decoction' emergency project expert group for covid-19
- Publication Type:Journal Article
- Keywords: Age; COVID-19; Comorbidities; Gender; Severity; Treatment outcome
- MeSH: Adult; Aged; COVID-19/virology*; China/epidemiology*; Comorbidity; Female; Humans; Male; Middle Aged; Retrospective Studies; Severity of Illness Index; Treatment Outcome
- From: Biomedical and Environmental Sciences 2020;33(12):893-905
- CountryChina
- Language:English
-
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 (
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.