| Literature DB >> 35930410 |
Aalam Sohal1, Hunza Chaudhry1, Armaan Dhaliwal2, Piyush Singla3, Gagan Gupta3, Raghav Sharma4, Dino Dukovic5, Devang Prajapati6.
Abstract
BACKGROUND AND AIMS: Esophageal variceal bleeding is a common reason for hospitalization in patients with cirrhosis. The main objective of this study was to analyze the effects of gender differences on outcomes in hospitalizations related to Esophageal variceal bleeding in the United States.Entities:
Keywords: Gender; cirrhosis; disparities; variceal bleeding
Mesh:
Year: 2022 PMID: 35930410 PMCID: PMC9359179 DOI: 10.1080/07853890.2022.2104920
Source DB: PubMed Journal: Ann Med ISSN: 0785-3890 Impact factor: 5.348
Figure 1.Flowchart of case selection for variceal bleeding, 2016–2019.
Patient demographics and hospital characteristics stratified by gender.
| Variables | Men ( | Women ( | All ( | |
|---|---|---|---|---|
|
| 55.65 (+/−0.09) | 58.45 (+/−0.13) | 56.57 (+/−0.08) |
|
|
|
| |||
| Age <44 | 19,360 (17.26) | 8,200 (15.02) | 27,560 (16.53) | – |
| Age 45-64 | 68,055 (60.68) | 28,955 (53.03) | 97,010 (58.17) | – |
| Age >65 | 24,745 (22.06) | 17,445 (31.95) | 42,190 (25.3) | – |
|
|
| |||
| White | 68,890 (61.42) | 36,635 (67.1) | 10,5525 (63.28) | – |
| Black | 8,375 (7.47) | 3,640 (6.67) | 12,015 (7.21) | – |
| Hispanic | 25,660 (22.88) | 9,780 (17.91) | 35,440 (21.25) | – |
| Asian or Pacific Islander | 2,775 (2.47) | 1,365 (2.5) | 4,140 (2.48) | – |
| Native American | 2,245 (2) | 1,550 (2.84) | 3,795 (2.28) | – |
| Other | 4,215 (3.76) | 1,630 (2.99) | 5,845 (3.51) | – |
|
|
| |||
| Medicare | 34,210 (30.5) | 21,430 (39.25) | 55,640 (33.37) | – |
| Medicaid | 33,510 (29.88) | 14,570 (26.68) | 48,080 (28.83) | – |
| Private and HMO | 27,710 (24.71) | 13,115 (24.02) | 4,0825 (24.48) | – |
| Self Pay | 11,315 (10.09) | 3,720 (6.81) | 15,035 (9.02) | – |
|
| .121 | |||
| Small | 18,960 (16.9) | 9,255 (16.95) | 28,215 (16.92) | – |
| Medium | 33,555 (29.92) | 15,745 (28.84) | 49,300 (29.56) | – |
| Large | 59,645 (53.18) | 29,600 (54.21) | 89,245 (53.52) | – |
|
| .074 | |||
| Non-Teaching | 30,075 (26.81) | 15,160 (27.77) | 45,235 (27.13) | – |
| Teaching | 82,085 (73.19) | 39,440 (72.23) | 121,525 (72.87) | – |
|
|
| |||
| Northeast | 16,460 (14.68) | 7,480 (13.7) | 23,940 (14.36) | – |
| Midwest | 18,825 (16.78) | 10,060 (18.42) | 28,885 (17.32) | – |
| South | 46,770 (41.7) | 22,715 (41.6) | 69,485 (41.67) | – |
| West | 30,105 (26.84) | 14,345 (26.27) | 44,450 (26.66) | – |
|
| .292 | |||
| Not transferred | 95,055 (84.75) | 45,875 (84.02) | 140,930 (84.51) | – |
| From acute care | 14,005 (12.49) | 7,150 (13.1) | 21,155 (12.69) | – |
| Other facility | 2,600 (2.32) | 1,365 (2.5) | 3,965 (2.38) | – |
|
| .682 | |||
| Rural | 106,630 (95.07) | 51,850 (94.96) | 158,480 (95.03) | – |
| Urban | 5,530 (4.93) | 2,750 (5.04) | 8,280 (4.97) | – |
Elixhauser comorbidities, liver etiologies and complications of cirrhosis stratified by gender.
| Variables | All ( | Male ( | Female ( | |
|---|---|---|---|---|
| Elixhauser comorbidities | .003 | |||
| 1 | 1,750 (1.05) | 1,030 (0.92) | 720 (1.32) | – |
| 2 | 9,935 (5.96) | 6,730 (6) | 3,205 (5.87) | – |
| ≥ 3 | 155,075 (92.99) | 104,400 (93.08) | 50,675 (92.81) | – |
|
| ||||
| Alcohol-related liver disease | 91,300 (54.75) | 69,375 (61.85) | 21,925 (40.16) |
|
| NASH | 5,140 (3.08) | 3,105 (2.77) | 2,035 (3.73) |
|
| Hepatitis B | 3,725 (2.23) | 2,995 (2.67) | 730 (1.34) |
|
| Hepatitis C | 35,555 (21.32) | 26,245 (23.4) | 9,310 (17.05) |
|
| Alcohol-related hepatitis | 22,435 (13.45) | 16,480 (14.69) | 5,955 (10.91) |
|
|
| ||||
| Ascites | 74,360 (44.59) | 50,490 (45.02) | 23,870 (43.72) |
|
| SBP | 5,515 (3.31) | 3,815 (3.4) | 1,700 (3.11) | .17 |
| Hepatorenal syndrome | 8,315 (4.99) | 5,745 (5.12) | 2,570 (4.71) | .10 |
| Coagulopathy | 89,720 (53.8) | 61,685 (55) | 28,035 (51.35) |
|
| Hepatocellular carcinoma (HCC) | 8,160 (4.89) | 6,825 (6.09) | 1,335 (2.45) |
|
Figure 2.Categorical outcomes in patients admitted with variceal bleeding, stratified by gender (* signifies p < .05).
Table showing unadjusted and adjusted odds ratio for study outcomes on univariate and multivariate analysis.
| Variables | Unadjusted OR | Adjusted OR | ||
|---|---|---|---|---|
| Death | 0.82 |
| 0.88 |
|
| EGD | 1.01 | .818 | 0.99 | .829 |
| Early EGD | 0.94 |
| 0.98 | .369 |
| Acute Kidney Injury | 0.87 |
| 0.82 |
|
| Blood transfusion | 0.99 | .76 | 1.03 | .324 |
| Sepsis | 1.07 | .36 | 1.13 | .117 |
| ICU admission | 0.8 |
| 0.84 |
|
| TIPS | 0.85 |
| 0.83 |
|
Table showing unadjusted and adjusted coefficients for continuous study outcomes on univariate and multivariate analysis.
| Variable | Unadjusted coefficient | p-value | Adjusted coefficient | |
|---|---|---|---|---|
| Length of Stay | 0.1 | .252 | 0.003 | .975 |
| Total Charge | 2346.65 | .211 | 2135.59 | .247 |
| Hospitalisation Costs | 525.63 | .259 | 607.16 | .183 |
| Time to Endoscopy | 0.05 | .199 | 0.02 | .632 |