| Literature DB >> 36243562 |
Steven L Cochrun1, Timothy Finnegan2, Grace E Kennedy2, Mason Garland3, Jayleen M Grams2, Abhishek D Parmar2.
Abstract
BACKGROUND: The COVID-19 pandemic possessed far-reaching health implications beyond the public health impact that have yet to be fully elucidated. We hypothesized that the COVID-19 pandemic led to an increase in biliary disease complexity and incidence of emergency cholecystectomy.Entities:
Keywords: Biliary; COVID-19; Outcomes
Year: 2022 PMID: 36243562 PMCID: PMC9513400 DOI: 10.1016/j.amjsurg.2022.09.047
Source DB: PubMed Journal: Am J Surg ISSN: 0002-9610 Impact factor: 3.125
Data of demographic trends for both patient populations.
| Pre-Covid (%) (N = 442) | COVID (%) (N = 470) | p-value | ||
|---|---|---|---|---|
| Female | 69.4 | 68.6 | 0.57 | |
| Male | 30.6 | 31.2 | ||
| Other | 0 | 1 | ||
| White | 58.1 | 66.3 | 0.008 | |
| Black | 31.2 | 27.6 | ||
| Hispanic | 7.5 | 3.2 | ||
| Other | 2.6 | 2.9 | ||
| 1 | 2.3 | 2.3 | 0.67 | |
| 2 | 40.9 | 37.5 | ||
| 3 | 54.7 | 57.3 | ||
| 4 | 2.1 | 3 | ||
| Charity | 1.1 | 5.4 | <0.0001 | |
| Commercial | 58.1 | 45.5 | ||
| Medicaid | 14.9 | 15.4 | ||
| Medicare | 13.8 | 28.3 | ||
| Self-Pay | 12.1 | 5.4 | ||
| 48.0, 16.1 | 48.6, 16.6 | 0.57 | ||
| 32.9, 9.4 | 32.7, 8.8 | 0.66 | ||
Table of all diagnoses for both patient populations. Pathologic diagnoses collected via final pathology reports. p = 0.0019. * denotes Gallbladder. ** Denotes Porcelain Gallbladder.
| Pre-COVID (%) N = 442 | COVID (%) N = 470 | p-value | |
|---|---|---|---|
| 247 (55.9%) | 270 (57.4%) | 0.0019 | |
| 183 (41.4%) | 135 (28.7%) | ||
| 13 (2.8%) | 26 (5.9%) | ||
| 16 (3.4%) | 3 (0.7%) | ||
| 10 (0.2%) | 5 (0.01%) | ||
| 0 (0%) | 2 (0.4%) | ||
| 1 (0.2) | 1 (0.2) |
Clinical outcomes between patient populations. Outcomes measured as means denoted with *.
| PRE-COVID (%) N = 442 | COVID (%) N = 470 | p-value | ||
|---|---|---|---|---|
| 336 (71.5) | 266 (60.2) | 0.0003 | ||
| 134 (28.5) | 176 (39.8) | |||
| 461 (98.1) | 429 (97.1) | 0.31 | ||
| 13 (1.9) | 9 (2.9) | |||
| 357 (76) | 328 (74.2) | 0.77 | ||
| 4 (0.9) | 3 (0.7) | |||
| 109 (23.2) | 111 (25.1) | |||
| 456 (97) | 418 (94.6) | 0.06 | ||
| 14 (3) | 24 (5.4) | |||
| 8 (57.1) | 18 (75) | 0.25 | ||
| 6 (42.9) | 6 (25) | |||
| 461 (98.1) | 433 (98) | 0.9 | ||
| 9 (1.9) | 9 (2) | |||
| 452 96.2 | 430 97.3 | 0.35 | ||
| 18 (3.8) | 12 (2.7) | |||
| 457 (97.2) | 425 (96.2) | 0.36 | ||
| 13 (2.8) | 17 (3.9) | |||
| 1.7 ± 3.1 | 1.9 ± 3.3 | 0.47 | ||
| 231.9 ± 137.3 | ||||
| 96.2 ± 45.1 | 0.20 | |||
| 85.7 ± 47.6 | ||||
Clinical outcomes for emergency patient populations.
| PRE-COVID (%) N = 134 | COVID (%) N = 176 | p-value | ||
|---|---|---|---|---|
| 132 (98.5) | 171 (97.2) | 0.43 | ||
| 2 (1.5) | 5 (2.8) | |||
| 125 (93.3) | 157 (89.2) | 0.43 | ||
| 2 (1.5) | 3 (1.7) | |||
| 7 (5.2) | 16 (9.1) | |||
| 126 (94.0) | 158 (89.8) | 0.18 | ||
| 8 (6.0) | 18 (10.2) | |||
| 4 (50.0) | 12 (66.7) | 0.42 | ||
| 4 (50.0) | 6 (33.3) | |||
| 130 (97.0) | 168 (95.5) | 0.48 | ||
| 4 (3.0) | 8 (4.5) | |||
| 126 (94.0) | 170 (96.6) | 0.28 | ||
| 8 (6.0) | 6 (3.4) | |||
| 127 (94.8) | 162 (92.1) | 0.34 | ||
| 7 (5.2)) | 14 (7.9)) |