Suleyman 2020.

Study characteristics
Notes	English title Clinical characteristics and morbidity associated with coronavirus disease 2019 in a series of patients in metropolitan Detroit Study setting Start of study recruitment (MM/YYYY): 03/2020 End of study recruitment (MM/YYYY): 03/2020 Study design: Retrospective cohort Study centre(s): Multiple centres/clinics/areas within a country Number of centres, clinics or areas: 14 Study setting: Outpatient and inpatient Number of participants recruited: 463 Sampling method: Consecutive participants Participants Female participants (absolute number): 259 Age measure, value: Mean (SD), 57.5 (16.8) Inclusion criteria: SARS‐CoV‐2 infection confirmed by positive polymerase chain reaction testing of nasopharyngeal specimens Exclusion criteria: Lack of demographic and baseline data Smoking frequency: 160 Diabetes frequency: 178 Hypertension frequency: 295 Cardiovascular disease frequency: 108 Asthma frequency: 73 Chronic obstructive pulmonary disease frequency: 49 Other pulmonary disease frequency: NR Immunosuppression frequency: NR Chronic kidney disease frequency: 182 Cancer frequency: 49 Steroid administration frequency: NR Supplemental oxygen administration frequency: NR Other treatments (frequency): NR Prognostic factor(s) Study’s definition for obesity: Severe obesity, defined as BMI ≥ 40 The time when obesity has been measured: NR Main variable used for determination of obesity: BMI Threshold used for definition: 40 Obesity frequency (absolute number): 89 Prognostic factor(s): BMI ≥ 40 (obesity class 3) Outcome(s) ICU admission Mechanical ventilation Outcome (prognostic factor) ICU admission (BMI ≥ 40 (obesity class 3)) Follow‐up Number of patients followed completely for the outcome: 355 Number of obese patients followed completely for the outcome: 75 Number of non‐obese patients followed completely for the outcome: 280 Univariable unadjusted analysis for obesity Effect measure for obesity: NR Effect measure value (95% CI), P value: NR, 0.06 Multivariable analysis for obesity Modelling method: Logistic regression The set of prognostic factors used for adjustment: African‐American race, age, cancer, CKD, coronary artery disease, congestive heart failure, DM, hypertension, severe obesity, sex, tobacco use Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 2.0 (1.4, 3.6), 0.02 Outcome (prognostic factor) Mechanical ventilation (BMI ≥ 40 (obesity class 3)) Follow‐up Number of patients followed completely for the outcome: 355 Number of obese patients followed completely for the outcome: 75 Number of non‐obese patients followed completely for the outcome: 280 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: African‐American race, age, cancer, CKD, coronary artery disease, congestive heart failure, DM, hypertension, severe obesity, sex, tobacco use Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 3.2 (1.7, 6), < 0.001
Item	Authors' judgement	Support for judgement
Study Participation	Yes	Appendix 3
Study Attrition Mechanical ventilation	No	Appendix 3
Study Attrition ICU admission	No	Appendix 3
Prognostic Factor Measurement	Yes	Appendix 3
Outcome Measurement Mechanical ventilation	Yes	Appendix 3
Outcome Measurement ICU admission	Yes	Appendix 3
Confounding Bias Mechanical ventilation	Yes	Appendix 3
Confounding Bias ICU admission	Yes	Appendix 3
Statistical Analysis Bias	Unclear	Appendix 3