| Literature DB >> 30206217 |
Hisham Hussan1,2, Emmanuel Ugbarugba3, Kyle Porter4, Sabrena Noria5, Bradley Needleman5, Steven K Clinton6,7, Darwin L Conwell8, Somashekar G Krishna8,7.
Abstract
OBJECTIVE: We investigated whether vertical sleeve gastrectomy (VSG) and Roux-en-Y gastric bypass surgery (RYGB) have a differential impact on post-operative risk of acute pancreatitis (AP).Entities:
Mesh:
Year: 2018 PMID: 30206217 PMCID: PMC6134111 DOI: 10.1038/s41424-018-0045-0
Source DB: PubMed Journal: Clin Transl Gastroenterol ISSN: 2155-384X Impact factor: 4.488
Fig. 1Flowchart showing study design and outcomes
Patient and hospital characteristics
| Study cohort | Pre-surgery cohort | Post-surgery cohort | ||||
|---|---|---|---|---|---|---|
| Surgery type | RYGB ( | VSG ( | HR ( | RYGB ( | VSG ( | HR ( |
| Age, mean (SE) | 45.4 (0.2) | 44.4 (0.1) | 54.1 (0.3) | 45.1 (0.2) | 44.0 (0.1) | 53.4 (0.3) |
| Age range | ||||||
| 18–29 | 8,824 (10.2%) | 12,417 (10.9%) | 241 (2.9%) | 8,931 (10.7%) | 10,536 (11.5%) | 333 (3.8%) |
| 30–49 | 44,347 (51.5%) | 61,982 (54.5%) | 2,782 (34.0%) | 43,248 (51.6%) | 50,669 (55.4%) | 2,992 (34.5%) |
| ≥50 | 33,019 (38.3%) | 39,355 (34.6%) | 5,160 (63.1%) | 31,605 (37.7%) | 30,293 (33.1%) | 5,336 (61.6%) |
| Sex | ||||||
| Male | 18,207 (21.1%) | 24,651 (21.7%) | 1,883 (23.0%) | 17,766 (21.2%) | 20,198 (22.1%) | 2,070 (23.9%) |
| Female | 67,982 (78.9%) | 89,102 (78.3%) | 6,300 (77.0%) | 66,017 (78.8%) | 71,301 (77.9%) | 6,592 (76.1%) |
| Index length of stay, days, median (IQR) | 1.5 (1–1.9) | 1.2 (0.7–1.8) | 1.6 (0.7–3) | 1.5 (1.1–1.9) | 1.3 (0.7–1.8) | 1.4 (0.6–2.7) |
| Index length of stay, days | ||||||
| 1–2 | 68,851 (79.9%) | 98,565 (86.6%) | 4,981 (60.9%) | 66,075 (78.9%) | 78,866 (86.2%) | 5,625 (64.9%) |
| ≥3 | 17,338 (20.1%) | 15,188 (13.4%) | 3,202 (39.1%) | 17,709 (21.1%) | 12,632 (13.8%) | 3,037 (35.1%) |
| Elixhauser index (minus obesity) | ||||||
| 0 | 11,893 (13.8%) | 23,579 (20.7%) | 1,273 (15.6%) | 12,099 (14.4%) | 19,490 (21.3%) | 1,388 (16.0%) |
| 1–2 | 47,352 (54.9%) | 64,928 (57.1%) | 4,376 (53.5%) | 45,978 (54.9%) | 52,657 (57.5%) | 4,760 (55.0%) |
| 3–4 | 23,268 (27.0%) | 22,289 (19.6%) | 2,046 (25.0%) | 22,283 (26.6%) | 17,244 (18.8%) | 2,065 (23.8%) |
| ≥ 5 | 3,676 (4.3%) | 2,956 (2.6%) | 488 (6.0%) | 3,424 (4.1%) | 2,108 (2.3%) | 449 (5.2%) |
| Primary payer | ||||||
| Medicare | 16,253 (18.9%) | 13,879 (12.2%) | 2,894 (35.4%) | 16,316 (19.5%) | 10,762 (11.8%) | 3,094 (35.7%) |
| Medicaid | 12,244 (14.2%) | 12,173 (10.7%) | 848 (10.4%) | 12,519 (14.9%) | 9,915 (10.8%) | 864 (10.0%) |
| Private insurance | 51,089 (59.3%) | 79,717 (70.1%) | 3,847 (47.1%) | 48,587 (58.0%) | 64,173 (70.1%) | 3,988 (46.1%) |
| Self-pay | 2,021 (2.3%) | 5,672 (5.0%) | 250 (3.1%) | 2,110 (2.5%) | 5,122 (5.6%) | 273 (3.2%) |
| Other | 4,572 (5.3%) | 2,309 (2.0%) | 329 (4.0%) | 4,235 (5.1%) | 1,526 (1.7%) | 440 (5.1%) |
| Income quartile | ||||||
| Quartile 1 | 20,377 (23.7%) | 23,997 (21.1%) | 1,998 (24.4%) | 19,591 (23.4%) | 19,037 (20.8%) | 2,182 (25.2%) |
| Quartile 2 | 23,409 (27.2%) | 28,031 (24.7%) | 2,197 (26.9%) | 22,787 (27.2%) | 22,135 (24.2%) | 2,144 (24.8%) |
| Quartile 3 | 23,503 (27.3%) | 29,988 (26.4%) | 2,108 (25.8%) | 22,513 (26.9%) | 23,996 (26.2%) | 2,279 (26.3%) |
| Quartile 4 | 17,700 (20.6%) | 30,227 (26.6%) | 1,759 (21.5%) | 17,810 (21.3%) | 25,178 (27.5%) | 1,923 (22.2%) |
| Missing data | 1,141 (1.3%) | 1,434 (1.3%) | 118 (1.4%) | 1082 (1.3%) | 1,151 (1.3%) | 132 (1.5%) |
| Hospital type | ||||||
| Urban non-teaching | 26,229 (30.4%) | 37,913 (33.3%) | 2,507 (30.6%) | 26,414 (31.5%) | 29,735 (32.5%) | 2,764 (31.9%) |
| Urban teaching | 57,840 (67.1%) | 72,772 (64.0%) | 5,138 (62.8%) | 55,375 (66.1%) | 59,616 (65.2%) | 5,426 (62.6%) |
| Rural | 2,121 (2.5%) | 3,067 (2.7%) | 538 (6.6%) | 1,994 (2.4%) | 2,148 (2.3%) | 472 (5.5%) |
| Hospital bedsize | ||||||
| Small | 14,319 (16.6%) | 18,761 (16.5%) | 1,519 (18.6%) | 13,031 (15.6%) | 14,956 (16.3%) | 1,355 (15.6%) |
| Medium | 20,811 (24.1%) | 29,660 (26.1%) | 1,822 (22.3%) | 20,789 (24.8%) | 24,203 (26.5%) | 2,132 (24.6%) |
| Large | 51,060 (59.2%) | 65,332 (57.4%) | 4,842 (59.2%) | 49,963 (59.6%) | 52,339 (57.2%) | 5,175 (59.7%) |
| Alcohol use | 236 (0.3%) | 370 (0.3%) | 79 (1.0%) | 332 (0.4%) | 292 (0.3%) | 74 (0.9%) |
| Gallstones | 2,888 (3.4%) | 2,902 (2.6%) | 557 (6.8%) | 3,419 (4.1%) | 2,592 (2.8%) | 542 (6.3%) |
| Prior cholecystectomy | 191 (0.2%) | 224 (0.2%) | 36 (0.4%) | 5,150 (6.1%) | 4,347 (4.8%) | 935 (10.8%) |
Rates and comparison of six months pre- and post-surgery AP within surgery groups
| Surgery type | Six months post-surgery | Six months post-surgery | Post vs. Pre within surgery, odds ratio (95% confidence interval), | ||
|---|---|---|---|---|---|
| Univariable | Multivariablea | Sensitivity analysis multivariableb | |||
| VSG | 47 (0.04%) | 196 (0.21%) | 5.21 (3.15, 8.64), | 5.16 (3.11, 8.56), | 7.27 (4.26, 12.38), |
| RYGB | 62 (0.07%) | 138 (0.17%) | 2.29 (1.34, 3.90), | 2.26 (1.33, 3.87), | 3.15 (1.76, 5.63), |
| HR | 14 (0.17%) | c (≤0.12%) | 0.67 (0.20, 2.19), | 0.68 (0.21, 2.23), | 1.53 (0.45, 5.26), |
VSG vertical sleeve gastrectomy, RYGB Roux-en-Y gastric bypass, HR hernia repair, AP acute pancreatitis
aModel covariates include age, sex, index admission length of stay, and Elixhauser comorbidities (minus obesity)
bSensitivity analysis model covariates include age, sex, index admission length of stay, Elixhauser comorbidities (minus obesity), alcohol use, gallstones, and prior cholecystectomy
cThe cell’s value is not displayed. As per data agreements with AHRQ, researchers cannot report any statistics where the number of observations in any given cell of analyzed data is ≤10
Comparison of AP risk within six months pre- and post-surgery among RYGB, VSG, and HR controls
| Comparison | Univariable odds ratio (95% CI), | Multivariable a odds ratio (95% CI), | Sensitivity analysis Multivariable b odds ratio (95% CI), |
|---|---|---|---|
| Post vs. Pre in VSG compared to Post vs. Pre in RYGB | 2.28 (1.10, 4.71), | 2.28 (1.10, 4.73), | 2.31 (1.11, 4.81), |
| Post vs. Pre in VSG compared to Post vs. Pre in HR | 7.81 (2.15, 28.36), | 7.58 (2.09, 27.58), | 4.74 (1.27, 17.64), |
| Post vs. Pre in RYGB compared to Post vs. Pre in HR | 3.43 (0.94, 12.56), | 3.33 (0.91, 12.18), | 2.05 (0.55, 7.65), |
aModel covariates include age, sex, index admission length of stay, and Elixhauser comorbidities (minus obesity)
bSensitivity analysis model covariates include age, sex, index admission length of stay, Elixhauser comorbidities (minus obesity), alcohol use, gallstones, and prior cholecystectomy
Multivariable logistic regression analysis for factors associated with AP admission within 6 months after VSG and RGB
| Factors associated with AP risk within 6 months after VSG | ||
|---|---|---|
| Variable | Odds ratio (95% CI)a | |
| Age range | 0.005b | |
| 8–29 | 3.76 (1.68, 8.45) | 0.001 |
| 30–49 | 1.87 (0.99, 3.56) | 0.06 |
| ≥50 | Reference | |
| Gender: Female vs. male | 1.99 (1.04, 3.80) | 0.04 |
| Index length of stay, ≥3 vs. <3 days | 3.53 (2.15, 5.77) | <0.001 |
| Primary Payer | 0.02b | |
| Medicare | 2.50 (1.20, 5.19) | 0.01 |
| Medicaid | 0.72 (0.37, 1.38) | 0.32 |
| Self-pay | 0.14 (0.02, 0.97) | 0.047 |
| Other | 0.65 (0.09, 4.73) | 0.67 |
| Private Insurance | Reference | |
| Gallstones with no h/o cholecystectomy | 85.1 (52.4, 138.2) | <0.001 |
| H/o cholecystectomy with no gallstones | 3.31 (1.37, 7.98) | 0.01 |
| H/o cholecystectomy with gallstones | 2.54 (0.50, 13.02) | 0.26 |
| H/o of neither gallstones nor cholecystectomy | Reference | |
H/O history of
aVariables with p < 0.1 in univariable analyses were included in the multivariable model
bOmnibus p-value for variable (tests for overall differences among variable levels)