Table 1 Demographics and clinical characteristics of NYULH-EHR patients with COVID-19
From: Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care
Demographics and clinic characteristics | Number of patients (N = 1372) |
|---|---|
Age (years, Mean (SD)) | 69.72 (10.75) |
Male (N (%)) | 64.49 (0.47) |
Race (N(%)) | |
African American | 180 (13.12) |
Native American | 5 (0.36) |
Asian | 120 (8.75) |
Caucasian (White) | 730 (53.21) |
Multiple races | 19 (1.39) |
Other races | 266 (19.39) |
Race unknown or patient refused | 53 (3.86) |
Smoking (N(%)) | 1043 (6.88) |
Never | 735 (53.57) |
Former | 443 (32.29) |
Current | 55 (4.01) |
Not asked | 139 (10.13) |
Body mass index (kg/m2), Mean (SD) | 28.61 (6.74) |
Hyperlipidemia (N(%)) | 978 (71.75) |
Coronary artery disease (N(%)) | 562 (41.23) |
Heart failure (N(%)) | 406 (29.79) |
Hypertension (N(%)) | 1161 (85.18) |
Diabetes (N(%)) | 701 (51.43) |
Asthma or chronic obstructive pulmonary (N(%)) | 217 (15.92) |
Dementia (N(%)) | 133 (9.76) |
Stroke (N(%)) | 195 (14.31) |