Table 1.
Total sample |
Stratified by obesity |
||||
---|---|---|---|---|---|
BMI ≥ 30 |
BMI< 30 |
||||
(n = 427) | Missing % | (n = 80) | (n = 252) | p valuea | |
Demographic features | |||||
Female sex | 136 (31.8%) | 0% | 31 (39%) | 72 (29%) | 0.12 |
Age | 67 ± 21 | 0% | 65 ± 12.3 | 66.7 ± 14.4 | 0.31 |
Clinical manifestations | |||||
RF ≥ 22 | 131 (51%) | 40% | 32 (40%) | 86 (34%) | 0.39 |
Fever (BT ≥ 37,5 °C) | 327 (95%) | 19% | 72 (90%) | 214 (85%) | 0.80 |
Cough | 167 (48%) | 19% | 35 (44%) | 114 (45%) | 0.62 |
Dyspnea | 212 (62%) | 20% | 57 (71%) | 142 (56%) | 0.09 |
Dyarrhea | 28 (8%) | 20% | 8 (10%) | 18 (7%) | 0.64 |
Fatigue | 44 (13%) | 20% | 12 (15%) | 24 (10%) | 0.30 |
X-ray imaging | |||||
Interstitial pneumonia | 283 (83%) | 21% | 67 (84%) | 184 (73%) | 0.08 |
Laboratory data | |||||
CRP > 10 mg/dl | 233 (56%) | 2% | 55 (69%) | 141 (56%) | 0.05 |
PF ratio < 260 | 137 (52%) | 38% | 37 (46%) | 90 (36%) | 0.19 |
Comorbidities | |||||
Obesity | 80 (24%) | 22% | |||
Tumor | 22 (6%) | 20% | 3 (4%) | 15 (6%) | 0.65 |
Heart disease | 98 (28%) | 19% | 18 (23%) | 72 (29%) | 0.25 |
Hypertension | 174 (50%) | 19% | 49 (61%) | 107 (42%) | 0.01 |
Diabetes | 66 (19%) | 19% | 24 (30%) | 36 (14%) | <0.01 |
Treatment data | |||||
Antibiotic therapy | 297 (96%) | 28% | 66 (83%) | 197 (78%) | 0.28 |
Antiviral therapy | 263 (87%) | 29% | 65 (81%) | 164 (65%) | 0.12 |
Outcome data | |||||
Length of stay (median (IQR)) | 8 (12.5) | 0% | 12 (14.5) | 9 (12) | 0.04 |
ICU admission | 92 (22%) | 0% | 26 (33%) | 48 (19%) | 0.02 |
Mortality in patients admitted in ICU (n = 92) | 39 (9%) | 0% | 10 (12%) | 18 (7.1%) | 0.93 |
Death | 139 (33%) | 0% | 26 (33%) | 89 (35%) | 0.74 |
Note. Percentages are calculated based on the cases without missing data in the corresponding variables.
Abbreviations: RF = respiratory frequency; BT = body temperature; PF ratio = arterial partial pressure of oxygen/fractional inspired oxygen (fiO2).
Comparison between obese and non-obese patients based on chi square tests for categorical data, Mann Whitney tests for non-normal continuous data, or t-tests for normal continuous data.