Table.
Non-COVID | COVID-19 |
Convalescents | P value | ||
---|---|---|---|---|---|
Mild/moderate | Severe/critical | ||||
Study subjects, n | 54 | 52 | 74 | 66 | |
Age in years, mean ± SEM | 48 ± 1.9 | 52 ± 2.8 | 67.0 ± 1.7 | 52.4 ± 2.2 | <.0001 |
Sex | |||||
Men, n | 29 | 28 | 46 | 35 | .5349h |
Women, n | 25 | 24 | 28 | 31 | |
Clinical data | |||||
Survival rate, % | 100% | 74% | |||
BMI | 27.2 ± 0.6 | 27.2 ± 0.6c | 31.1 ± 1.0e | 29.8 ± 2.1g | .0196 |
Peak D-dimer, ng/mL, mean ± SEM | 1118 ± 223d | 3007 ± 352f | .0002 | ||
Peak CRPa, mg/dL, mean ± SEM | 8.3 ± 1.1 | 19.5 ± 1.3 | <.0001 | ||
Peak WBCsb, 103/uL, mean ± SEM | 8.3 ± 0.5 | 13.2 ± 0.9 | <.0001 | ||
Peak platelet count, 103/uL, mean ± SEM | 291 ± 22 | 322 ± 19 | .2094 | ||
Comorbidities, n (%) | |||||
Non-COVID inflammatory disease | 11 (20.8%) | 21 (28.4%) | 2 (4.1%) | .4086i | |
Autoimmune disease | 1 | 2 (3.8%) | 1 (1.4%) | 1 (2%) | .5706i |
Diabetes | 2 | 8 (15.1%) | 23 (31.1%) | 6 (12.2%) | .0584i |
Cancer (active and history) | 2 (3.8%) | 6 (8.1%) | 1 (2%) | .4671i | |
Thrombosis | 1 | 4 (7.5%) | 3 (4.1%) | 0 (0%) | .4499i |
Kidney failure | NA | 1 (1.9%) | 14 (18.9%) | 1 (2%) | .0039i |
Hypertension | NA | 14 (26.4%) | 40 (54.1%) | 6 (12.2%) | .0021i |
Lung disease | NA | 2 (3.8%) | 10 (13.5%) | 2 (4.1%) | .0734i |
Heart disease | NA | 7 (13.2%) | 17 (23%) | 2 (4.1%) | .2501i |
GI tract disease | NA | 3 (5.7%) | 6 (8.1%) | 2 (4.1%) | .7338i |
Blood type, n (%) | |||||
A | 17 (32%) | 23 (44%) | 35 (47%) | 23 (35%) | .0415j |
B | 13 (24%) | 17 (33%) | 11 (15%) | 20 (30%) | |
O | 18 (33%) | 9 (17%) | 15 (20%) | 17 (26%) | |
AB | 6 (11%) | 3 (6%) | 13 (18%) | 6 (9%) |
%, Percentage subjects in the same cohort; NA, data were not available.
Data were not available for some study subjects.
C-reactive protein.
White blood cells.
3.
19 NA, 1 > 5000.
15.
9 NA, 4 > 5000.
17.
Fisher’s exact test was used to evaluate the differences in sex distribution between non-COVID, mild/moderate, and severe/critical.
Fisher’s exact tests were used to evaluate differences between mild/moderate and severe/critical.
Fisher’s exact tests were used to evaluate the differences in blood type distribution between non-COVID, mild/moderate, and severe/critical.