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

Thomson 2020.

Study characteristics
Notes English title
Clinical characteristics and outcomes of critically ill patients with COVID‐19 admitted to an intensive care unit in London: a prospective observational cohort study
Study setting
Start of study recruitment (MM/YYYY): 03/2020
End of study recruitment (MM/YYYY): 05/2020
Study design: Prospective cohort
Study centre(s): Single centre/clinic/area within a country
Number of centres, clinics or areas: 1
Study setting: Inpatient
Number of participants recruited: 156
Sampling method: Consecutive participants
Participants
Female participants (absolute number): 44
Age measure, value: Median (IQR), 62 (54, 70)
Inclusion criteria: All patients with laboratory‐confirmed SARS‐CoV‐2 infection admitted to the ICU from the first case until the cut‐off date for this study, 6 May 2020
Exclusion criteria: NR
Smoking frequency: 117
Diabetes frequency: 52
Hypertension frequency: 81
Cardiovascular disease frequency: 26
Asthma frequency: NR
Chronic obstructive pulmonary disease frequency: NR
Other pulmonary disease frequency: 19
Immunosuppression frequency: NR
Chronic kidney disease frequency: 23
Cancer frequency: NR
Steroid administration frequency: NR
Supplemental oxygen administration frequency: NR
Other treatments (frequency): NR
Prognostic factor(s)
Study’s definition for obesity: Overweight or obese (BMI ≥ 25 kg/m2)
The time when obesity has been measured: NR
Main variable used for determination of obesity: BMI
Threshold used for definition: 25
Obesity frequency (absolute number): 80
Prognostic factor(s): (BMI ≥ 25 kg/m2)
Outcome(s)
Mortality
Outcome (prognostic factor)
Mortality (BMI ≥ 25 kg/m2)
Follow‐up
Number of patients followed completely for the outcome: 156
Number of obese patients followed completely for the outcome: 89
Number of non‐obese patients followed completely for the outcome: 67
Univariable unadjusted analysis for obesity
Effect measure for obesity: Odds ratio
Effect measure value (95% CI), P value: 1.9 (0.87, 4.33), 0.1
Multivariable analysis for obesity
Modelling method: Logistic regression
The set of prognostic factors used for adjustment: Age, ethnicity, lowest P/F ratio on first ICU day, PaCO2 at time of lowest P/F ratio
Effect measure for obesity: Odds ratio
Effect measure value (95% CI), P value: 3.06 (1.16, 8.74), < 0.029
 
Item Authors' judgement Support for judgement
Study Participation Yes Appendix 3
Study Attrition
Mortality Yes Appendix 3
Prognostic Factor Measurement No Appendix 3
Outcome Measurement
Mortality Yes Appendix 3
Confounding Bias
Mortality No Appendix 3
Statistical Analysis Bias Unclear Appendix 3