Table 3.
Bivariate analysis of preoperative COVID-19 status at any time before gynecologic surgery on sociodemographic and clinical variables
| Positive preoperative COVID-19 test* | Negative preoperative COVID-19 test† | p value | |
|---|---|---|---|
| Age (n = 3403) | 42.2 ± 12.1 | 46.7 ± 14.5 | <.001 |
| BMI | 32.4 ± 8.1 | 30.3 ± 7.9 | .003 |
| Race and ethnicity | <.001 | ||
| Non-Hispanic White | 35/123 (28.5%) | 1572/3106 (50.6%) | |
| Non-Hispanic Black | 30/123 (24.4%) | 803/3106 (25.9%) | |
| Hispanic or Latino | 55/123 (44.7%) | 591/3106 (19.0%) | |
| Asian | 3/123 (2.4%) | 125/3106 (4.0%) | |
| American Indian and Alaskan Native | 0/123 (0%) | 10/3106 (0.3%) | |
| Native Hawaiian and Other Pacific Islanders | 0/123 (0%) | 5/3106 (0.2%) | |
| Region of country | <.001 | ||
| Northeast | 34/128 (26.6%) | 728/3254 (22.4%) | |
| Midwest | 36/128 (28.1%) | 1279/3254 (39.3%) | |
| South | 6/128 (4.7%) | 434/3254 (13.3%) | |
| Southwest | 52/128 (40.6%) | 813/3254 (25%) | |
| Healthcare worker | .003 | ||
| Yes | 21/125 (16.8%) | 365/3229 (11.3%) | |
| No | 67/125 (53.6%) | 2196/3229 (68%) | |
| Unknown | 37/128 (29.6%) | 668/3229 (20.7%) | |
COVID-19 = coronavirus disease; BMI = body mass index.
Only statistically significant bivariate associations are shown. All data are presented as number (percentage) and mean ± standard deviation unless otherwise specified.
⁎
Positive preoperative COVID-19 tests included those who had a positive test result remote from surgery or those who had a positive test result preoperatively per institutional testing protocols.
†
Negative preoperative COVID-19 tests include patients who had a negative test result or had pending or inconclusive tests.