Parra‐Bracamonte 2020.

Study characteristics
Notes	English title Clinical characteristics and risk factors for mortality of patients with COVID‐19 in a large data set from Mexico Study setting Start of study recruitment (MM/YYYY): 01/2020 End of study recruitment (MM/YYYY): 07/2020 Study design: Registry data Study centre(s): Multiple centres/clinics/areas within a country Number of centres, clinics or areas: 475 Study setting: Outpatient and inpatient Number of participants recruited: 331,298 Sampling method: Consecutive participants Participants Female participants (absolute number): 153,141 Age measure, value: Median (IQR), 44 (33‐56) Inclusion criteria: Positive cases to COVID‐19 who were diagnosed using real‐time PCR and were officialised by the National Network for Epidemiologic Surveillance Exclusion criteria: NR Smoking frequency: 24,484 Diabetes frequency: 53,712 Hypertension frequency: 66,170 Cardiovascular disease frequency: 7351 Asthma frequency: 8983 Chronic obstructive pulmonary disease frequency: 5458 Other pulmonary disease frequency: NR Immunosuppression frequency: 4196 Chronic kidney disease frequency: 6895 Cancer frequency: NR Steroid administration frequency: NR Supplemental oxygen administration frequency: NR Other treatments (frequency): ICU (7904), intubated (9237) Prognostic factor(s) Study’s definition for obesity: BMI > 30 kg/m2 The time when obesity has been measured: NR Main variable used for determination of obesity: BMI Threshold used for definition: 30 Obesity frequency (absolute number): 63,459 Prognostic factor(s): BMI > 30 kg/m2 Outcome(s) Mortality Outcome (prognostic factor) Mortality (BMI > 30 kg/m2) Follow‐up Number of patients followed completely for the outcome: 328,922 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: 1.47 (1.507,,1.433), NR Multivariable analysis for obesity Modelling method: Logistic regression The set of prognostic factors used for adjustment: Age, asthma, CKD, COPD, HTN, hospitalisation, immunosuppression, sex, smoking habits, other complications Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 1.223 (1.275, 1.173), < 0.0001
Item	Authors' judgement	Support for judgement
Study Participation	Unclear	Appendix 3
Study Attrition Mortality	No	Appendix 3
Prognostic Factor Measurement	Yes	Appendix 3
Outcome Measurement Mortality	Yes	Appendix 3
Confounding Bias Mortality	Yes	Appendix 3
Statistical Analysis Bias	Yes	Appendix 3