Table 1.
Patient Characteristics | IBD with COVID-19 | IBD without COVID-19 | P |
---|---|---|---|
No. of patients | 8865 | 183 604 | |
Female N (%) | 4618 (52.1%) | 101 716.6 (55.4%) | <.01 |
Mean age (years) | 62.78 yrs. | 57.68 yrs. | |
Race N (%) | <.01 | ||
White | 6621(74.7%) | 146 516 (79.8%) | |
African American | 1081 (12.2%) | 20 013 (10.9%) | |
Hispanic | 833 (9.4%) | 10 282 (5.6%) | |
Other | 328 (3.7%) | 6793 (3.7%) | |
Charlson Comorbidity Index N (%) | <.01 | ||
0 | 2606 (29.4%) | 58 202 (31.7%) | |
1 | 2038 (23%) | 37 455 (20.4%) | |
2 | 1533 (17.3%) | 28 458 (15.5%) | |
3 or more | 2686(30.3%) | 59 488 (32.4%) | |
Chronic Comorbid Conditions N (%) | |||
Hypertension | 178 (0.2%) | 551 (0.3%) | .63 |
Diabetes mellitus | 62 (0.7%) | 1469 (0.8%) | .55 |
Chronic kidney disease | <.01 | ||
Stage 2 | 80 (0.9%) | 1836 (1%) | |
Stage 3 | 328 (3.7%) | 12 485 (6.8%) | |
Stage 4 | 257 (2.9%) | 4590 (2.5%) | |
Stage 5 | 267 (0.3%) | 551 (0.3%) | |
Unspecified | 346 (3.9%) | 6059 (3.3%) | |
End-stage renal disease | 239(2.7%) | 5875 (3.2%) | .19 |
Chronic pulmonary disease | 2500 (28.2%) | 46 085 (25.1%) | <.01 |
Congestive heart failure | 1516 (17.1%) | 31 580 (17.2%) | .98 |
Median Income Based on Zip Codes | .15 | ||
$1-$38 999 | 2429 (27.4%) | 45 717 (24.9%) | |
$39 000-$47 999 | 2367 (26.7%) | 49 573(27%) | |
$48 000-$62 999 | 2065 (23.3%) | 44 799 (24.4%) | |
>$63 000 | 2003 (22.6%) | 43 330 (23.6%) | |
Insurance Provider N (%) | <.01 | ||
Medicare | 5061(57.1%) | 94 556 (51.5%) | |
Medicaid | 833 (9.4%) | 27 173 (14.8%) | |
Private | 2810 (31.7%) | 55 632(30.3%) | |
Self-Pay | 159 (1.8%) | 6242(3.4%) | |
Hospital Characteristics | |||
Hospital Teaching Status N (%) | .03 | ||
Nonteaching | 2366 (26.7%) | 44 616 (24.3%) | |
Teaching | 6497 (73.3%) | 138 988 (75.7%) | |
Hospital Bed Size N (%) | .33 | ||
Small | 2154 (22.9%) | 40 576 (22.1%) | |
Medium | 2455(26.1%) | 50 491 (27.5%) | |
Large | 4798(51%) | 92 720 (50.5%) | |
Hospital Region N (%) | <.01 | ||
Large metropolitan | 18 256(20.6%) | 39 842 (21.7%) | |
Small metropolitan | 2464 (27.8%) | 43 514 (23.7%) | |
Micropolitan areas | 3253 (36.7%) | 69 035 (37.6%) | |
Others | 13 112 (14.8%) | 31 396 (17.1%) |