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

Yazdanpanah 2021.

Study characteristics
Notes English title
Impact on disease mortality of clinical, biological, and virological characteristics at hospital admission and overtime in COVID‐19 patients
Study setting
Start of study recruitment (MM/YYYY): 01/2020
End of study recruitment (MM/YYYY): 03/2020
Study design: Prospective cohort
Study centre(s): Multiple centres/clinics/areas within a country
Number of centres, clinics or areas: 25
Study setting: Inpatient
Number of participants recruited: 246
Sampling method: Consecutive participants
Participants
Female participants (absolute number): 107
Age measure, value: Median (IQR), 62 (50, 73)
Inclusion criteria: All hospitalised confirmed COVID‐19 patients
Exclusion criteria: NR
Smoking frequency: 13
Diabetes frequency: 39
Hypertension frequency: 73
Cardiovascular disease frequency: 48
Asthma frequency: 23
Chronic obstructive pulmonary disease frequency: NR
Other pulmonary disease frequency: 21
Immunosuppression frequency: NR
Chronic kidney disease frequency: 16
Cancer frequency: 14
Steroid administration frequency: 8
Supplemental oxygen administration frequency: 61
Other treatments (frequency): Remdesivir (4%), hydroxychloroquine (3%), lopinavir/ritonavir (27%)
Prognostic factor(s)
Study’s definition for obesity: NR
The time when obesity has been measured: Some time after presentation
Main variable used for determination of obesity: BMI
Threshold used for definition: NR
Obesity frequency (absolute number): 44
Prognostic factor(s): Obesity
Outcome(s)
Mortality
Outcome (prognostic factor)
Mortality (obesity)
Follow‐up
Number of patients followed completely for the outcome: 246
Number of obese patients followed completely for the outcome: 44
Number of non‐obese patients followed completely for the outcome: 202
Univariable unadjusted analysis for obesity
Effect measure for obesity: Hazard ratio
Effect measure value (95% CI), P value: 2.34 (1.23, 4.44), 0.009
Multivariable analysis for obesity
Modelling method: Cox regression
The set of prognostic factors used for adjustment: Age, sex
Effect measure for obesity: Hazard ratio
Effect measure value (95% CI), P value: 3.32 (1.7, 6.52), < 0.01
 
Item Authors' judgement Support for judgement
Study Participation Unclear Appendix 3
Study Attrition
Mortality Unclear Appendix 3
Prognostic Factor Measurement Unclear Appendix 3
Outcome Measurement
Mortality Yes Appendix 3
Confounding Bias
Mortality Yes Appendix 3
Statistical Analysis Bias Yes Appendix 3