Omrani 2020.

Study characteristics
Notes	English title The first consecutive 5000 patients with Coronavirus Disease 2019 from Qatar; a nation‐wide cohort study Study setting Start of study recruitment (MM/YYYY): 02/2020 End of study recruitment (MM/YYYY): 04/2020 Study design: Retrospective cohort Study centre(s): Multiple centres/clinics/areas within a country Number of centres, clinics or areas: NR Study setting: Outpatient and inpatient Number of participants recruited: 5000 Sampling method: Consecutive participants Participants Female participants (absolute number): 564 Age measure, value: Median (IQR), 35 (28, 43) Inclusion criteria: The first consecutive 5000 patients with RT‐PCR‐confirmed COVID‐19 who would complete 60 days of follow up from date of diagnosis Exclusion criteria: NR Smoking frequency: NR Diabetes frequency: 470 Hypertension frequency: 476 Cardiovascular disease frequency: 61 Asthma frequency: NR Chronic obstructive pulmonary disease frequency: NR Other pulmonary disease frequency: 156 Immunosuppression frequency: NR Chronic kidney disease frequency: 44 Cancer frequency: 31 Steroid administration frequency: NR Supplemental oxygen administration frequency: NR Other treatments (frequency): NR Prognostic factor(s) Study’s definition for obesity: Body mass index (BMI), defined as body weight in kilograms divided by squared height in metres 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: Not applicable Obesity frequency (absolute number): NR Prognostic factor(s): BMI (per 1 kg/m2 increase) Outcome(s) ICU admission Outcome (prognostic factor) ICU admission (BMI (per one kg/m2 increase)) Follow‐up Number of patients followed completely for the outcome: 1409 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: Odds ratio Effect measure value (95% CI), P value: 1.067 (1.033, 1.102), < 0.001 Multivariable analysis for obesity Modelling method: Logistic regression The set of prognostic factors used for adjustment: The final multivariable logistic regression model included age, male sex, body mass index (BMI), defined as body weight in kilograms divided by squared height in metres, and co‐existing diabetes mellitus, systemic hypertension, coronary artery disease, chronic liver disease, and chronic kidney disease. Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 1.067 (1.027, 1.108), 0.001
Item	Authors' judgement	Support for judgement
Study Participation	Yes	Appendix 3
Study Attrition ICU admission	No	Appendix 3
Prognostic Factor Measurement	Yes	Appendix 3
Outcome Measurement ICU admission	Yes	Appendix 3
Confounding Bias ICU admission	Yes	Appendix 3
Statistical Analysis Bias	Yes	Appendix 3