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. 2023 May 24;2023(5):CD015201. doi: 10.1002/14651858.CD015201

Yi 2020.

Study characteristics
Notes English title
Risk factors and clinical features of deterioration in COVID‐19 patients in Zhejiang, China: a single‐centre, retrospective study
Study setting
Start of study recruitment (MM/YYYY): 01/2020
End of study recruitment (MM/YYYY): 02/2020
Study design: Retrospective cohort
Study centre(s): Single centre/clinic/area within a country
Number of centres, clinics or areas: 1
Study setting: Inpatient
Number of participants recruited: 100
Sampling method: NR
Participants
Female participants (absolute number): 37
Age measure, value: Median (IQR), 54 (42, 64)
Inclusion criteria: All patients diagnosed with SARS‐CoV‐2 who were admitted to the First Affiliated Hospital of Zhejiang University School of Medicine between January 19, 2020, and February 19, 2020
Exclusion criteria: NR
Smoking frequency: NR
Diabetes frequency: 11
Hypertension frequency: 37
Cardiovascular disease frequency: 4
Asthma frequency: NR
Chronic obstructive pulmonary disease frequency: NR
Other pulmonary disease frequency: NR
Immunosuppression frequency: NR
Chronic kidney disease frequency: NR
Cancer frequency: NR
Steroid administration frequency: 81
Supplemental oxygen administration frequency: 100
Other treatments (frequency): NR
Prognostic factor(s)
Study’s definition for obesity: NR
The time when obesity has been measured: Before disease or right at presentation
Main variable used for determination of obesity: BMI
Threshold used for definition: NR
Obesity frequency (absolute number): NR
Prognostic factor(s): BMI continuous
Outcome(s)
Severe COVID
Outcome (prognostic factor)
Severe COVID (BMI continuous)
Follow‐up
Number of patients followed completely for the outcome: 100
Number of obese patients followed completely for the outcome: NR
Number of non‐obese patients followed completely for the outcome: NR
Univariable unadjusted analysis for obesity
Effect measure for obesity: NR
Effect measure value (95% CI), P value: NR
Multivariable analysis for obesity
Modelling method: Logistic regression
The set of prognostic factors used for adjustment: Age, sex, hypertension, IL‐6, T‐lymphocyte count, B‐lymphocyte count, glucocorticoid treatment and artificial liver support
Effect measure for obesity: Odds ratio
Effect measure value (95% CI), P value: 1.24 (1.006, 1.52), < 0.044
 
Item Authors' judgement Support for judgement
Study Participation Unclear Appendix 3
Study Attrition
Severe COVID Yes Appendix 3
Prognostic Factor Measurement Yes Appendix 3
Outcome Measurement
Severe COVID Yes Appendix 3
Confounding Bias
Severe COVID Unclear Appendix 3
Statistical Analysis Bias Yes Appendix 3