From: Long non-coding RNAs in biomarking COVID-19: a machine learning-based approach
Factors | COVID-19 Group N = 28 | Control Group N = 17 |
---|---|---|
Age | 54.68 ± 17.19 | 51.15 ± 17.73 |
Sex | Â | Â |
Male | 13 (46.43) | 9 (53) |
Female | 15 (53.57) | 8 (47) |
Smoking | Â | Â |
Yes | 11 (39.3) | 7 (41.2) |
No | 17 (60.7) | 10 (58.8) |
Comorbidity | Â | Â |
Yes | 15 (53.57) | 2 (11.8) |
No | 13 (46.43) | 15 (88.2) |
Comorbidity | Â | Â |
DM | 9 (30) | 0 (0.0) |
HTN | 10 (33) | 2 (10) |
Hepatic | 4 (13) | 0 (0.0) |
Renal | 3 (10) | 0 (0.0) |
Cardiac | 5 (17) | 0 (0.0) |
Tachycardia | 9 (30) | 0 (0.0) |
Fever | 16 (53) | 0 (0.0) |
Dyspnea | 12 (40) | 0 (0.0) |
Cough | 21 (70) | 0 (0.0) |
Wheezy | 10 (33) | 0 (0.0) |
Diarrhea | 5 (17) | 0 (0.0) |
Outcome | Â | Â |
Survived | 24 (85.7) | |
Died | 4 (14.3) |