Pattou Lille 2020.
Study characteristics | ||
Notes |
English title Association of BMI with outcomes in critically ill patients with COVID‐19: multicenter cohort study Study setting Start of study recruitment (MM/YYYY) 02/2020 End of study recruitment (MM/YYYY) 05/2020 Study design retrospective cohort Study centre(s) international Number of centres/clinics/areas 21 Study setting inpatient Number of participants recruited 1461 Sampling method unspecified Participants Female participants (absolute number), 392 Age measure, value median (interquartile range), 64 (40.9, 72.0) Inclusion criteria COVID‐19 patients admitted in intensive care Exclusion criteria NR Smoking NR Diabetes NR Hypertension NR Cardiovascular diseases NR Please indicate if additional information is available NR Asthma NR Chronic obstructive pulmonary disease NR Other pulmonary diseases NR Please indicate if additional information is available NR Immunosuppression NR Please indicate if additional information is available NR Chronic kidney disease NR Cancer NR Steroid administration NR Supplemental oxygen NR Differential values for various oxygenation methods (if indicated) NR Other treatment NR Dose if applicable NR Duration if applicable NR Percentage received this treatment NR Prognostic factor(s) Study’s definition for obesity NR The time when obesity has been measured unspecified Main variable used for determination of obesity BMI Threshold used for definition of obesity NR Measure of frequency NR Frequency value NR How many eligible outcomes reported? 2 How many eligible outcomes reported? 2 Outcome(s) mechanical ventilation, mortality Outcome (prognostic factor) mechanical ventilation (BMI continuous (per 5 kg/m2)) Outcome mechanical ventilation Prognostic factor (category): BMI continuous (per 5 kg/m2) Follow‐up Number of patients followed completely for this outcome 1461 Number of obese patients followed completely for this outcome NR Number of non‐obese patients followed completely for this outcome NR Univariable (unadjusted) analysis for obesity Effect measure for obesity NR Effect measure value (95% CI) NR Multivariable (adjusted) analysis for obesity Modelling method logistic regression The set of prognostic factors used for adjustment age, sex, and diabetes, hypertension, hyperlipidaemia, and current smoking Effect measure for obesity odds ratio Effect measure value (95% CI) 1.27 (1.12, 1.45) Outcome (prognostic factor) mortality (BMI > 40) Outcome mortality Prognostic factor (category): BMI > 40 Follow‐up Number of patients followed completely for this outcome 1461 Number of obese patients followed completely for this outcome NR Number of non‐obese patients followed completely for this outcome NR Univariable (unadjusted) analysis for obesity Effect measure for obesity NR Effect measure value (95% CI) NR Multivariable (adjusted) analysis for obesity Modelling method Cox regression The set of prognostic factors used for adjustment age, sex, and diabetes, hypertension, hyperlipidaemia, and current smoking Effect measure for obesity hazard ratio Effect measure value (95% CI) 1.68 (1.06, 2.64) |
|
Item | Authors' judgement | Support for judgement |
Study Participation | No | Appendix 3 |
Study Attrition Mortality | Unclear | Appendix 3 |
Study Attrition Mechanical ventilation | Unclear | Appendix 3 |
Prognostic Factor Measurement | Yes | Appendix 3 |
Outcome Measurement Mortality | Yes | Appendix 3 |
Outcome Measurement Mechanical ventilation | Yes | Appendix 3 |
Confounding Bias Mortality | Yes | Appendix 3 |
Confounding Bias Mechanical ventilation | Yes | Appendix 3 |
Statistical Analysis Bias | Unclear | Appendix 3 |