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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)
  1. Categorical variables are summarized with frequencies (percentages) unless otherwise indicated. Continuous variables are summarized as the mean (standard deviation) of biomarkers