TABLE 1.
Patients Characteristics on Hospital Admission, Evolution and Treatment During the First and the Second Waves of Coronavirus Disease 2019 Pandemic
| Variables | First Wave of the COVID-19 Pandemic | Number of Patients | Second Wave of the COVID-19 Pandemic | Number of Patients | p |
|---|---|---|---|---|---|
| Age (yr) | 68 (57–80) | 341 | 71 (60–80) | 662 | 0.15 |
| Body mass index (kg/m2) | 27.2 (24–31) | 257 | 27.0 (24–31) | 509 | 0.054 |
| Sex (male) | 200 (59%) | 341 | 386 (58%) | 662 | 0.92 |
| Chronic kidney disease | 37 (10.9%) | 341 | 66 (10%) | 662 | 0.66 |
| Diabetes | 125 (37%) | 341 | 283 (43%) | 662 | 0.063 |
| Hypertension | 181 (53%) | 341 | 322 (49%) | 662 | 0.18 |
| Bilirubin (mg/dL) | 0.68 (0.5–0.97) | 336 | 0.64 (0.48–0.9) | 640 | 0.14 |
| C-reactive protein (mg/L) | 81.8 (33.6–166) | 339 | 78.2 (29.0–146) | 645 | 0.15 |
| Creatinine (mg/dL) | 0.99 (0.81–1.35) | 338 | 0.99 (0.77–1.38) | 644 | 0.68 |
| d-dimer (ng/mL) | 924 (540–1,782) | 297 | 1,020 (576–2,004) | 552 | 0.13 |
| Ferritin (µg/L) | 1,003 (531–2,329) | 77 | 743 (327–2,017) | 189 | 0.041 |
| Lymphocyte count (103/mm3) | 0.94 (0.66–1.23) | 337 | 0.90 (0.63–1.31) | 644 | 0.51 |
| Platelet count (103/mm3) | 195 (155–263) | 337 | 209 (161–274) | 644 | 0.15 |
| Spo2 (%) | 94 (90–96) | 340 | 93 (90–96) | 658 | 0.53 |
| Respiratory rate (/min) | 22 (19–29) | 325 | 20 (18–25) | 575 | 0.0003 |
| Heart rate (/min) | 90 (79–103) | 341 | 88 (76–101) | 662 | 0.15 |
| Mean arterial pressure (mm Hg) | 94.0 (86.0–103) | 341 | 94.3 (83.6–105) | 662 | 0.48 |
| Viral load (cycle threshold) | 27.5 (23–31) | 279 | 26.5 (21–32) | 454 | 0.91 |
| Hyrdoxychloroquine | 249 (73%) | 341 | 0 (0%) | 662 | <0.0001 |
| Remdesivir | 2 (0.6%) | 341 | 88 (13.3%) | 662 | <0.0001 |
| Dexamethasone | 11 (3.2%) | 341 | 404 (61%) | 662 | <0.0001 |
| Transfer in ICU | 87 (26%) | 341 | 128 (19%) | 662 | 0.024 |
| 30-d mortality | 74 (22%) | 341 | 99 (15%) | 662 | 0.007 |
| Age of deceased patients (yr) | 79.5 (71–86) | 74 | 82 (74–88) | 99 | 0.069 |
COVID-19 = coronavirus disease 2019.
Quantitative variables are reported as median (Q1–Q3) and categorical variables as number (%). Kruskal-Wallis and Fisher exact tests are used as appropriate.