Table 2.
Demographics and comorbidities of patients on hemodialysis with and without an undetected severe acute respiratory syndrome coronavirus 2 infection identified in the subsequent ≥3 d
| Variable | Unaffected Patients | Coronavirus Disease 2019+ |
| Number of patients on HD | 29,324 | 11,166 |
| Age (yr), mean±SD | 62.66±14.25 | 62.62±13.92 |
| Male, n (%) | 16,614 (567) | 6149 (55) |
| White race, n (%) | 12,021 (41) | 4338 (39) |
| Black race, n (%) | 7838 (27) | 3354 (30) |
| Other race, n (%) | 1223 (4) | 372 (3) |
| Unknown race, n (%) | 8242 (28) | 3102 (28) |
| Hispanic ethnicity, n (%) | 2849 (14) | 1831 (23) |
| BMI (kg/m2) mean±SD | 29.26±7.71 | 29.45±7.83 |
| Dialysis vintage (yr) mean±SD | 3.75±4.11 | 3.96±4.09 |
| Diabetes, n (%) | 19,186 (66) | 8085 (73) |
| CHF, n (%) | 6710 (23) | 2595 (23) |
| Ischemic heart disease, n (%) | 7647 (26) | 2830 (26) |
| Central venous catheter access, n (%) | 6799 (23) | 2738 (25) |
Age, sex, and catheter access variables were included in the ML prediction model to classify the risk of an individual HD patient having a SARS-CoV-2 infection being identified in the following ≥3 d. HD, hemodialysis; BMI, body mass index; CHF, congestive heart failure; ML, machine learning; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.