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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: Surg Obes Relat Dis. 2012 Oct 30;9(5):623–629. doi: 10.1016/j.soard.2012.09.013

Can Technical Factors Explain the Volume-Outcome Relationship in Gastric Bypass Surgery?

M D Smith 1, E Patterson 1, A S Wahed 2, S H Belle 2, A P Courcoulas 3, D Flum 4, S Khandelwal 4, J E Mitchell 5, A Pomp 6, W J Pories 7, B Wolfe 8
PMCID: PMC3630240  NIHMSID: NIHMS418408  PMID: 23274125

Abstract

Background

The existence of a relationship between surgeon volume and patient outcome has been demonstrated for different complex surgical operations. This relationship has also been confirmed for patients undergoing Roux-en-Y gastric bypass (RYGB) in the Longitudinal Assessment of Bariatric Surgery (LABS) study. Despite multiple studies demonstrating volume-outcome relationships, fewer studies investigate the causes of this relationship.

Objective

The purpose of the present study is to understand possible explanations for the volume-outcome relationship in LABS.

Setting

Multiple Clinical Centers – University and Private Practice, United States.

Methods

LABS includes a 10-center, prospective study examining 30-day outcomes following bariatric surgery. The relationship between surgeon annual RYGB volume and incidence of a composite endpoint (CE) has been published previously. Technical aspects of RYGB surgery were compared between high and low volume surgeons. The previously published model was adjusted for select technical factors.

Results

High volume surgeons (>100 RYGBs/year) were more likely to perform a linear stapled gastrojejunostomy, use fibrin sealant and place a drain at the gastrojejunostomy compared to low volume surgeons (<25 RYGBs/year), and less likely to perform an intraoperative leak test. After adjusting for the newly identified technical factors, the relative risk of CE was 0.93 per 10 RYGB/year increase in volume, compared to 0.90 for clinical risk adjustment alone.

Conclusion

High volume surgeons exhibited certain differences in technique when compared to low volume surgeons. After adjusting for these differences, the strength of the volume-outcome relationship previously found was reduced only slightly, suggesting that other factors are also involved.

Keywords: Bariatric surgery, RYGB, volume-outcome relationship

Introduction

The prevalence of bariatric surgery has seen a dramatic increase over the last decade (1,2), with up to 220,000 operations being performed in North America in 2008. Reasons that may explain this increase include the high and increasing prevalence of morbid obesity(3,4), the demonstrated effect of bariatric surgery on achieving sustained weight loss (5) and improved survival (6,7), and the improved safety record of modern bariatric surgery (8).

Roux-en-Y gastric bypass (RYGB) remains the most frequently performed operation for treatment of morbid obesity(2), representing 51% of the bariatric procedures performed in the USA and Canada in 2008. Laparoscopic adjustable gastric banding (LAGB) is nearly as prevalent, representing 44% of operations performed in 2008, with the remainder made up of sleeve gastrectomy, biliopancreatic diversion and duodenal switch. Although RYGB offers durable long term weight loss in multiple case series(9), it is complex surgery. Reported mortality rates of 0.4% remain higher than that of LAGB at less than 0.1%(8). Furthermore, major complications such as anastomotic leak and pulmonary embolism are reported in 0.6 to 4.4% of patients(10).

With many complex operations, it is possible to demonstrate a relationship between surgeon or hospital volume and patient complication rates(1117). This volume outcome relationship has been previously demonstrated for RYGB(1820), and has recently been confirmed in the prospective risk adjusted cohort of the Longitudinal Assessment of Bariatric Surgery (LABS)-1(21) which is based on clinical rather than administrative data.

Although the concept of a volume outcome relationship for complex operations is well described, there are fewer studies attempting to explain this relationship. Differences in patient characteristics affecting surgical risk may be one factor confounding this relationship(22). In the LABS-1 cohort risk adjustment was performed according to previously identified clinical risk factors(21). However, clinical risk adjustment did not eliminate the volume-outcome relationship. Hospital clinical support services(23), surgeon credentialing(24), and surgical technical factors(11) have also been shown to influence the volume outcome relationship in different surgical settings. In Smith et al.(21), neither hospital clinical support, nor surgeon credentialing was specifically addressed, however all participating hospitals were bariatric centers of excellence, and all included surgeons underwent a credentialing process prior to participating in LABS. We have been unable to identify any studies exploring how surgical technical factors affect the volume outcome relationship after RYGB.

The Longitudinal Assessment of Bariatric Surgery (LABS) is a 10-center consortium funded by the National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK) in the National Institute of Health (NIH) that conducts observational cohort studies of bariatric surgical outcomes. These involve prospective, standardized and comprehensive collection of clinical data, and include several related protocols. LABS-1 comprised 30-day outcome data on consecutive patients, 18 years or older, undergoing an initial bariatric procedure. All participants consented to LABS data collection and Institutional Review Board approval was obtained at all participating centers.

The purpose of the present study is to explore possible explanations for the volume outcome relationship in LABS. In particular we sought to determine whether high volume surgeons exhibit systematic differences in technique when compared to low volume surgeons, and if so whether correcting for these differences changes the volume outcome relationship. Importantly, this study does not seek to address the relationship between technical factors and the composite endpoint outside of the volume outcome relationship.

Methods

LABS-1 procedures were conducted by 34 LABS certified surgeons at: University of Pittsburgh Medical Center (Pennsylvania), New York- Presbyterian Hospital [Columbia and Weill-Cornell Medical Centers] (New York), East Carolina Medical Center (North Carolina), the MeritCare Health Systems through the Neuropsychiatric Research Institute (North Dakota), Sacramento Bariatric (California), University of Washington Medical Center or Virginia Mason Medical Center (Washington), and Oregon Health and Sciences University or Legacy Good Samaritan Hospital (Oregon). The LABS-1 inclusion criteria and data collection has previously been described in detail(25). Results demonstrating a continuous relationship between surgeon annual volume of RYGB surgery and patient 30-day outcomes have been reported previously (21).

For the present study inclusion criteria, adjustment and outcomes were standardized with those previously reported by LABS to allow for comparison(8,21). Specifically, all patients at least 18-years-old undergoing RYGB as an initial bariatric procedure between March 2005 and December 2007 were included. Risk adjustment for clinical factors was performed according to the patient’s body mass index (BMI), history of obstructive sleep apnea, history of deep venous thrombosis, ability to walk 200ft and surgical approach (open versus laparoscopic). Method of gastrojejunostomy was initially recorded as a binary response to whether each of three methods (hand sewing, linear stapling or circular stapling) was used in constructing the anastomosis. This was recoded to reflect the general use of these clinical terms by surgeons. In other words linear stapled with or without hand sewn is treated as predominantly linear stapled, circular stapled with or without hand sewn is classified as predominantly circular stapled, hand sewn with no staples is classified as predominantly hand sewn. The primary endpoint was a composite event (CE) defined as occurrence of any one of the following events within 30-days of surgery: death, venous thrombosis, pulmonary embolism, re-operation, non-discharge at 30-days(8).

Statistical Analysis

Surgeon volume for a surgeon within LABS was computed as the ratio of the number of procedures performed by the surgeon within LABS and the time between the first and last procedure within LABS expressed as procedures per year. Two surgeons each with fewer than 10 surgeries were excluded from the analysis. For analyzing the relationship between technical factors and surgeon volume, the volume was categorized as 0–24, 25–49, 50–99, and 100+ cases per year. Duration of procedure across surgeon volume categories was compared using Kruskal-Wallis test, while the frequencies of categorical variables, e.g. method of gastrojejunostomy, were compared using the Jonckheere-Terpstra trend test. Incidence of CEs by technical factors is reported using frequencies and percentages, and also by relative risks and 95% confidence intervals. Multivariable log-linear regression model with CE as outcome, accounting for correlation among patients within the same site and surgeon as random effects, was employed to assess how adjustment for technical factors and other patient characteristics impact the volume-outcome relationship. The results are reported as adjusted relative risks and 95% confidence intervals.

Results

LABS-1 included 3412 initial RYGB operations performed by 33 surgeons. Two surgeons performed only one RYGB operation each and were excluded from the analysis, leaving a total of 3410 RYGB operations performed by 31 surgeons. Fifteen surgeons performed an average of 49 or fewer RYGB operations per year in LABS, 9 averaged 50 to 99 and 7 averaged 100 or more.

The variation in intra operative techniques by surgeon volume category is shown in Table 1. When compared to surgeons performing fewer than 25 RYGB cases per year (low volume), those performing at least 100 RYGB cases per year (high volume) were more likely to construct the gastrojejunostomy using a linear stapled technique, more likely to use sealant at the gastrojejunostomy and more likely to place a drain. High volume surgeons were less likely to mechanically test their gastrojejunal anastomosis intraoperatively, and less likely to have a resident or fellow present during the surgery.

Table 1.

Distribution of technical factors by surgeon volume

Technical factors Overall By LABS Surgeon Volume (Cases per year
in LABS)
< 25
(n = 352)
25 to <
50
(n =
461)
50 to <
100
(n =
1219)
≥ 100
(n =
1378)
p-value*
Trainee present (n, %) 2335
(68.5)
237
(67.3)
437
(94.8)
803
(65.9)
858
(62.3)
<0.001
Anastomosis tested (n, %) 2839
(83.4)
311
(88.6)
458
(99.6)
1026
(84.2)
1011
(75.8)
<0.001
      By Air (n, %) 388
(11.4)
102
(29.1)
16
(3.5)
186
(15.3)
84
(6.1)
<0.001
      By Endoscopy (n, %) 1439
(42.3)
151
(43.0)
157
(34.1)
453
(37.2)
678
(49.2)
<0.001
      By Methylene Blue (n, %) 1204
(35.4)
64
(18.2)
296
(64.4)
551
(45.2)
293
(21.3)
<0.001
Method of GJ ** <0.001
  Predominantly Hand Sewn (n, %) 839
(24.7)
105
(30.0)
180
(39.4)
552
(45.4)
2
(0.2)
  Predominantly Linear Stapled (n, %) 1305
(38.4)
56
(16.0)
43
(9.4)
404
(33.3)
802
(58.2)
  Predominantly Circular Stapled (n, %) 1255
(36.9)
189
(54.0)
234
(51.2)
259
(21.3)
573
(41.6)
GJ sealed (n, %) 1990
(58.6)
104
(29.6)
319
(69.8)
732
(60.4)
835
(60.6)
<0.001
Drain placed at GJ (n, %) 671
(19.7)
46
(13.1)
13
(2.8)
281
(23.1)
331
(24.0)
<0.001
Concurrent Procedure performed (n, %) 1744
(51.1)
210
(59.7)
191
(41.4)
631
(51.8)
712
(51.7)
0.72
DVT prophylaxis administered or ordered (n, %) 3392
(99.5)
350
(99.7)
460
(99.8)
1206
(99.9)
1376
(99.9)
0.26
Duration of procedure
(minutes)
(incision to skin closure)
[median (25th, 75th)]
135
(108, 168)
160
(130, 190)
150
(120, 174)
140
(113, 175)
121
(100, 150)
<0.001

GJ gastrojejunostomy, DVT deep venous thrombosis, n number

*

p-values from trend test for discrete variables and from Kruskal-Wallis test for continuous variables

**

Method of gastrojejunostomy is coded to reflect the general use of these clinical terms by surgeons. Linear stapled with or without hand sewn is treated as predominantly linear stapled, circular stapled with or without hand sewn is classified as predominantly circular stapled, hand sewn with no staples is classified as predominantly hand sewn.

Table 2 shows the relationship between surgical technical factors and CE rate. Aside from surgeon volume, only performance of a circular stapled gastrojejunostomy, performance of a concurrent procedure and longer duration of surgery were associated with a higher rate of CE rate in univariate analysis.

Table 2.

Composite event rates by technical factors

Characteristics Category n CE (%) Relative Risk
(95% CI)
p-
value*
Overall 3410 177 (5.2)
Trainee Present No
Yes
1075
2335
45(4.2)
132(5.7)
Ref
1.25 (0.79, 1.99)
0.33
Anastomosis tested No
Yes
567
2839
15(2.6)
162(5.7)
Ref
2.08 (0.99, 4.38)
0.054

Method of GJ **
Predominantly
Hand Sewn
Predominantly
Linear Stapled
Predominantly
Circular Stapled

839

1305

1255

46(5.5)

36(2.8)

95(7.6)

1.65 (0.82, 3.32)

Ref

2.56 (1.35, 4.85)

0.161



0.004
GJ sealed No
Yes
1407
1990
82(5.8)
95(4.8)
Ref
0.86 (0.54, 1.37)
0.518
Drain placed at GJ No
Yes
2739
671
152(5.5)
25(3.7)
Ref
0.90 (0.53, 1.54)
0.707
Concurrent Procedure performed No
Yes
1666
1744
71(4.3)
106(6.1)
Ref
1.49 (1.08, 2.05)
0.015
DVT prophylaxis administered or ordered No

Yes
17

3392
0(0.0)

177(5.2)
NA*** NA***
Duration of procedure (per 20 minutes) 1.13 (1.08, 1.18) <0.001
Surgeon's LABS volume (per 10 cases/year) 0.89 (0.86, 0.93) <0.001

CE composite endpoint, CI confidence interval, GJ gastrojejunostomy, NA not available, n number, Ref reference value.

*

p-values are from generalized linear mixed model adjusted for random effects of surgeon within site and surgeon.

**

Method of gastrojejunostomy is coded to reflect the general use of these clinical terms by surgeons. Linear stapled with or without hand sewn is treated as predominantly linear stapled, circular stapled with or without hand sewn is classified as predominantly circular stapled, hand sewn with no staples is classified as predominantly hand sewn.

***

A relative risk could not be computed since there was no event in the reference group.

In the multiple regression model assessing the association of surgical technical factors on the volume-outcome relationship (Model 2), we included all covariates that were significantly associated with CE in a previous analysis (21) plus technical factors associated with CE with p < 0.20 in univariate analysis. Results are presented in Table 3. To see how the volume-outcome relationship changed with the adjustment of technical factors, we tabulated the results from the Smith et al. model (21) under the heading of Model 1 in Table 3. The Smith et al. model shows that in the absence of intra-operative factors, the relative risk of CE (95% CI) for each 10 case/year increase in surgeon’s annual volume is 0.90 (0.85–0.95). When intra-operative factors were added as covariates (Model 2), in addition to the patient characteristics BMI, history of deep vein thrombosis, history of obstructive sleep apnea, and inability to walk 200ft, method of gastrojejunostomy, duration of procedure, and surgeon annual volume are statistically significantly associated with the CE. Although the relative risk is attenuated slightly (0.93 per 10 cases/year; 95% CI 0.88–0.98), the intra- operative factors that LABS included in its dataset failed to account for most of the variation due to the surgeon volume. Thus, even when technical factors are accounted for, an increase in surgeon volume by 10 cases per year is still expected to reduce the risk of CE by 7%.

Table 3.

Multiple regression analysis (generalized linear mixed model) of composite events and surgeon volume in relation to technical factors and patient characteristics.

Model 1
(Smith et al., 2010)
Model 2b
Characteristics Relative Risk
(95% CI)
p-value Relative Risk
(95% CI)
p-value
Technical factors
   Trainee Present (vs. absent)
   Anastomosis tested (Yes vs. No) 1.43
(0.74, 2.76)
0.288
   Method of GJ * 0.006
   Pred. Circular Stapled vs.
   Pred. Linear Stapled
   Pred. Hand-Sewn vs.
   Pred. Linear Stapled
1.64
(0.95, 2.85)
2.17
(1.35, 3.50)

0.077

0.002
   GJ sealed (Yes vs. No)
   Drain placed at GJ (Yes vs. No)
   Concurrent Procedure performed (Yes vs. No) 1.27
(0.92, 1.76)
0.14
   Duration of procedure (per 20 minutes) 1.10
(1.04, 1.17)
<0.001
Surgeon’s LABS volume (per 10 cases/year) 0.90
(0.85, 0.95)
<0.001 0.93
(0.88, 0.98)
0.011
Patient Characteristics
   Body mass index (BMI), Kg/m2 NAa linear, 0.293
Quadratic, 0.005
NAa linear, 0.17
Quadratic, 0.006
   History of DVT (Yes vs. No) 2.06
(1.18, 3.60)
0.011 1.94
(1.11, 3.40)
0.021
   History of OSA (Yes vs. No) 1.43
(1.04, 1.98)
0.029 1.35
(0.98, 1.86)
0.069
   Inability to walk 200 feet (Yes vs. No) 2.13
(1.12, 4.06)
0.022 2.04
(1.07, 3.87)
0.029

CI confidence interval, GJ gastrojejunostomy, DVT deep venous thrombosis, OSA obstructive sleep apnea.

a

Since BMI has both linear and quadratic terms in the model, the relative risk is not a constant (depends on BMI levels). For example, in Model 1 an increase in BMI from 50 Kg/m2 to 70 Kg/m2 would increase the risk of composite event by 15%, whereas an increase of same magnitude in BMI from 55 Kg/m2 to 75 Kg/m2 increases the risk by 37%.

b

Model 2 included all variables from Smith et al. 2010 plus the technical factors which were significantly or near significantly (p < 0.20) associated with the composite event (Table 2).

*

Method of gastrojejunostomy is coded to reflect the general use of these clinical terms by surgeons. Linear stapled with or without hand sewn is treated as predominantly linear stapled, circular stapled with or without hand sewn is classified as predominantly circular stapled, hand sewn with no staples is classified as predominantly hand sewn.

Discussion

In this study we demonstrate that high volume surgeons in LABS were more likely to construct a linear stapled gastrojejunostomy, use sealant and place a drain, and less likely to mechanically test their gastrojejunostomy compared to low volume surgeons. Despite adjusting for these technical differences between high and low volume surgeons in LABS we found the relationship between surgeon RYGB volume and CE rate was not eliminated. The relationship between surgeon and volume and patient outcomes is difficult to evaluate. Possible confounding factors include the effects of patient risk, hospital volume, hospital characteristics, surgeon training and experience, learning curves, and procedure specificity. Even accounting for these differences, the mechanism by which surgeon volume affects patient outcomes is unclear and since there are so many factors that make up care delivery, simple evaluations of single process metrics have limited value. The previously published study from the LABS consortium explored the relationship between surgeon annual volume of RYGB and CE rate following this procedure(21). In that study, patient risk was adjusted for using clinical risk factors found to be significant for CE, namely BMI, history of obstructive sleep apnea, history of deep venous thrombosis, ability to walk 200ft and surgical approach (open versus laparoscopic).

Hospital volume has also been shown to influence complication rate following RYGB surgery independent of surgeon volume (18). Although not demonstrated for bariatric surgery, hospital clinical characteristics including staffing levels, availability of specialist services, and experience with similar clinical procedures have been shown to affect volume outcome relationship in different settings(23,2628). In LABS we were not able to examine the influence of hospital volume, or specific hospital characteristics, however all participating centers are certified as ‘centers of excellence’ by one of two certification programs (29,30). These programs mandate safe minimum standards for infrastructure, clinical support and minimum hospital annual volume requirements.

Surgeon training and experience has also been demonstrated to affect patient outcomes (31,32). In addition, procedure specificity, or the effect of performing similar procedures varies in different settings (28,33). Our previous report described the statistically non-significant association between surgeon self-reported lifetime experience and surgeon annual volume of laparoscopic adjustable gastric band surgery and found that adjustment for self-reported lifetime experience did not affect the volume outcome relationship for RYGB (21). LABS required participating surgeons to hold board certification or equivalent in general surgery, but did not require subspecialty bariatric fellowship training, and to have experience performing at least 25 bariatric operations prior to inclusion in LABS. This baseline experience requirement may have eliminated any further effect of self-reported surgeon experience on patient outcome.

Despite substantial research addressing volume outcome relationships, few studies have explored the effect of surgical technical factors. A study from 2008 examined surgical blood loss in patients undergoing radical cystectomy before and after the introduction of a vascular stapling device(34). They found that blood loss was decreased after introducing the vascular stapler in patients of both high and low volume surgeons, although the improvement was greater for low volume surgeons. Mean operating time was only reduced for the low volume surgeons.

A multi-center study using the Surveillance, Epidemiology and End Results (SEER) database examining the influence in hospital volume on mortality in patients undergoing cystectomy looked at issues such as epidural anesthesia, invasive monitoring and blood transfusions(35). Here the authors found that adjusting for peri-operative processes had a modest effect on reducing the impact of hospital volume on perioperative mortality (OR 1.39 reduced from 1.46).

Another multi-center study from Germany examined a prospective registry of open abdominal aortic aneurysm repairs in 131 hospitals(11). This study examined a number of pre-operative and intraoperative variables and found the patient age, length of procedure, suprarenal aortic clamping and aneurysm diameter were independently associated with perioperative mortality using stepwise regression analysis. When adjusting for these predictors, hospital volume treated as a continuous variable was not predictive of mortality.

One of the major strength of the present study is the use of a multi-center prospective clinical database in which data were recorded regarding multiple intra-operative details. The large numbers of patients and surgeons involved also contribute to the power of this study.

Possible limitations of this study include the use of a composite endpoint, and the number and choice of intra-operative variables examined. Although the use of a composite endpoint to improve statistical power has been criticized previously(36), the CE has already been reported in LABS publications(8,21). In particular, the previously reported relationship between volume and CE (21) is precisely what this manuscript attempts to explain. Regarding the choice of intra-operative variables, all intra-operative technical data considered by expert surgeons to be potentially relevant to outcome were included in the dataset and included in this analysis. Furthermore, this analysis included only 32 bariatric surgeons at 10 centers within the United States which may limit the variability needed to identify technical factors that could explain the volume outcome relationship for RYGB. Because all sites became accredited as centers of excellence by one of the two programs at the time, the results are not likely to be generalizable to all bariatric surgeons.

The findings of this study should be considered when developing strategies to reduce the volume outcome relationship for RYGB but should not be interpreted as a cause and effect relationship. While differences were found between the intra-operative clinical practice of high- and low-volume surgeons, adjusting for these differences did not eliminate the volume-outcome relationship and we did not test the potential impact of lower volume surgeons adopting more of these ‘high volume surgeon’ techniques.

Patient care is a highly complex activity that incorporates patient selection, preoperative preparation, nursing and anesthetic care in addition to the controlled surgical environment. Further research is still required to determine whether different surgeon specific technical factors, or other unrelated factors explain the volume-outcome relationship for RYGB.

Conclusion

In conclusion, although high- and low-volume RYGB surgeons differ in preferred method of gastrojejunal anastomosis, testing of the anastomosis, and use of sealant or drains, adjusting for these factors does not eliminate the volume outcome relationship.

LABS Study Acknowledgments

This clinical study was a cooperative agreement funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Grant numbers: DCC -U01 DK066557; Columbia - U01-DK66667 (in collaboration with Cornell University Medical Center CTRC, Grant UL1-RR024996); University of Washington - U01-DK66568 (in collaboration with CTRC, Grant M01RR-00037); Neuropsychiatric Research Institute - U01-DK66471; East Carolina University – U01-DK66526; University of Pittsburgh Medical Center – U01-DK66585 (in collaboration with CTRC, Grant UL1-RR024153); Oregon Health & Science University – U01-DK66555.

Footnotes

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LABS personnel contributing to the study include:

Columbia University Medical Center, New York, NY: Paul D. Berk, MD, Marc Bessler, MD, Amna Daud, Harrison Lobdell IV, Jemela Mwelu, Beth Schrope, MD, PhD, Akuezunkpa Ude, MD Cornell University Medical Center, New York, NY: Michelle Capasso, BA, Ricardo Costa, BS, Greg Dakin, MD, Faith Ebel RD, MPH, Michel Gagner, MD, Jane Hsieh BS, Alfons Pomp, MD, Gladys Strain, PhD Mt. Sinai Medical Center, New York, NY: W. Barry Inabnet, MD East Carolina Medical Center, Greenville, NC: Rita Bowden, RN, William Chapman, MD, FACS, Lynis Dohm, PhD, John Pender MD, Walter Pories, MD, FACS Neuropsychiatric Research Institute, Fargo, ND: Jennifer Barker, MBA, Michael Howell, MD, Luis Garcia, MD, FACS, MBA, Kathy Lancaster, BA, Erika Lovaas, BS, James E. Mitchell, MD, Tim Monson, MD, Oregon Health & Science University: Chelsea Cassady, BS, Clifford Deveney, MD, Katherine Elder, PhD, Andrew Fredette, BA, Stefanie Greene, Jonathan Purnell, MD, Robert O’Rourke, Lynette Rogers, MD, Chad Sorenson, Bruce M. Wolfe, MD, Legacy Good Samaritan Hospital, Portland, OR: Emma Patterson, MD, Mark Smith, MD, William Raum, MD, Lisa VanDerWerff, PAC, Jason Kwiatkowski, PAC, Jamie Laut Med Sacramento Bariatric Medical Associates, Sacramento, CA: Iselin Austrheim-Smith, CCRP, Laura Machado, MD University of Pittsburgh Medical Center, Pittsburgh, PA: Chris Costa, BA Anita P. Courcoulas, MD, MPH, FACS, Jessie Eagleton, BS, George Eid, MD, William Gourash, MSN, CRNP, Lewis H. Kuller, MD, DrPH, Carol A. McCloskey, MD, Ramesh Ramanathan, MD, Rebecca Search, MPH, Eleanor Shirley, MA University of Washington, Seattle, WA: David E. Cummings, MD, E. Patchen Dellinger, MD, Hallie Ericson, BA, David R. Flum, MD, MPH, Katrina Golub, MPH, CCRC, Brant Oelschlager, MD, Skye Steptoe, MS, CCRC, Tomio Tran, Andrew Wright, MD Virginia Mason Medical Center, Seattle, WA: Lily Chang, MD, Stephen Geary, RN, Jeffrey Hunter, MD, Anne MacDougall, BA Ravi Moonka, MD, Olivia A. Seibenick, CCRC, Richard Thirlby, MD Data Coordinating Center, Graduate School of Public Health at the University of Pittsburgh, Pittsburgh, PA: Abi Adenijii, MS, Steven H. Belle, PhD, MScHyg, Lily (Jia-Yuh) Chen, MS, Michelle Fouse, BS, Jesse Hsu, MS, Wendy C. King, PhD, Kevin Kip, PhD, Kira Leishear, BS, Laurie Iacono, MFA, Debbie Martin, BA, Rocco Mercurio, MBA, Faith Selzer, PhD, Abdus Wahed, PhD National Institute of Diabetes and Digestive and Kidney Diseases: Mary Evans, Ph.D, Mary Horlick, MD, Carolyn W. Miles, PhD, Myrlene A. Staten, MD, Susan Z. Yanovski, MD National Cancer Institute: David E. Kleiner, MD, PhD

References

  • 1.Livingston EH. Procedure incidence and in-hospital complication rates of bariatric surgery in the United States. Am J Surg. 2004;188:105–110. doi: 10.1016/j.amjsurg.2004.03.001. [DOI] [PubMed] [Google Scholar]
  • 2.Buchwald H, Oien DM. Metabolic/bariatric surgery Worldwide 2008. Obes Surg. 2009;19:1605–1611. doi: 10.1007/s11695-009-0014-5. [DOI] [PubMed] [Google Scholar]
  • 3.Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999–2008. JAMA. 2010;303:235–241. doi: 10.1001/jama.2009.2014. [DOI] [PubMed] [Google Scholar]
  • 4.Ford ES, Mokdad AH. Epidemiology of obesity in the Western Hemisphere. J Clin Endocrinol Metab. 2008;93:S1–S8. doi: 10.1210/jc.2008-1356. [DOI] [PubMed] [Google Scholar]
  • 5.Brolin RE. Gastric bypass. Surg Clin North Am. 2001;81:1077–1095. doi: 10.1016/s0039-6109(05)70185-7. [DOI] [PubMed] [Google Scholar]
  • 6.Adams TD, Gress RE, Smith SC, et al. Long-term mortality after gastric bypass surgery. N Engl J Med. 2007;357:753–761. doi: 10.1056/NEJMoa066603. [DOI] [PubMed] [Google Scholar]
  • 7.Sjostrom L, Narbro K, Sjostrom CD, et al. Effects of bariatric surgery on mortality in Swedish obese subjects. N Engl J Med. 2007;357:741–752. doi: 10.1056/NEJMoa066254. [DOI] [PubMed] [Google Scholar]
  • 8.Flum DR, Belle SH, King WC, et al. Perioperative safety in the longitudinal assessment of bariatric surgery. N Engl J Med. 2009;361:445–454. doi: 10.1056/NEJMoa0901836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.White S, Brooks E, Jurikova L, Stubbs RS. Long-term outcomes after gastric bypass. Obes Surg. 2005;15:155–163. doi: 10.1381/0960892053268282. [DOI] [PubMed] [Google Scholar]
  • 10.Nguyen NT, Wilson SE. Complications of antiobesity surgery. Nat Clin Pract Gastroenterol Hepatol. 2007;4:138–147. doi: 10.1038/ncpgasthep0734. [DOI] [PubMed] [Google Scholar]
  • 11.Eckstein HH, Bruckner T, Heider P, et al. The relationship between volume and outcome following elective open repair of abdominal aortic aneurysms (AAA) in 131 German hospitals. Eur J Vasc Endovasc Surg. 2007;34:260–266. doi: 10.1016/j.ejvs.2007.05.006. [DOI] [PubMed] [Google Scholar]
  • 12.Eppsteiner RW, Csikesz NG, McPhee JT, Tseng JF, Shah SA. Surgeon volume impacts hospital mortality for pancreatic resection. Ann Surg. 2009;249:635–640. doi: 10.1097/SLA.0b013e31819ed958. [DOI] [PubMed] [Google Scholar]
  • 13.Holt PJ, Poloniecki JD, Gerrard D, Loftus IM, Thompson MM. Meta-analysis and systematic review of the relationship between volume and outcome in abdominal aortic aneurysm surgery. Br J Surg. 2007;94:395–403. doi: 10.1002/bjs.5710. [DOI] [PubMed] [Google Scholar]
  • 14.Karanicolas PJ, Dubois L, Colquhoun PH, Swallow CJ, Walter SD, Guyatt GH. The more the better?: the impact of surgeon and hospital volume on in-hospital mortality following colorectal resection. Ann Surg. 2009;249:954–959. doi: 10.1097/SLA.0b013e3181a77bcd. [DOI] [PubMed] [Google Scholar]
  • 15.Kuhry E, Bonjer HJ, Haglind E, et al. Impact of hospital case volume on short-term outcome after laparoscopic operation for colonic cancer. Surg Endosc. 2005;19:687–692. doi: 10.1007/s00464-004-8920-z. [DOI] [PubMed] [Google Scholar]
  • 16.Rutegard M, Lagergren J, Rouvelas I, Lagergren P. Surgeon volume is a poor proxy for skill in esophageal cancer surgery. Ann Surg. 2009;249:256–261. doi: 10.1097/SLA.0b013e318194d1a5. [DOI] [PubMed] [Google Scholar]
  • 17.Wang YR, Dempsey DT, Friedenberg FK, Richter JE. Trends of Heller Myotomy Hospitalizations for Achalasia in the United States, 19932005: Effect of. The American Journal of Gastroenterology. 2008 doi: 10.1111/j.1572-0241.2008.02049.x. [DOI] [PubMed] [Google Scholar]
  • 18.Courcoulas A, Schuchert M, Gatti G, Luketich J. The relationship of surgeon and hospital volume to outcome after gastric bypass surgery in Pennsylvania: a 3-year summary. Surgery. 2003;134:613–621. doi: 10.1016/s0039-6060(03)00306-4. discussion 621–3. [DOI] [PubMed] [Google Scholar]
  • 19.Flum DR, Salem L, Elrod JA, Dellinger EP, Cheadle A, Chan L. Early mortality among Medicare beneficiaries undergoing bariatric surgical procedures. JAMA. 2005;294:1903–1908. doi: 10.1001/jama.294.15.1903. [DOI] [PubMed] [Google Scholar]
  • 20.Weller WE, Rosati C, Hannan EL. Relationship between surgeon and hospital volume and readmission after bariatric operation. J Am Coll Surg. 2007;204:383–391. doi: 10.1016/j.jamcollsurg.2006.12.031. [DOI] [PubMed] [Google Scholar]
  • 21.Smith MD, Patterson E, Wahed AS, et al. Relationship between surgeon volume and adverse outcomes after RYGB in Longitudinal Assessment of Bariatric Surgery (LABS) study. Surg Obes Relat Dis. 2010;6:118–125. doi: 10.1016/j.soard.2009.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Cawley J, Sweeney MJ, Kurian M, Beane S. Predicting complications after bariatric surgery using obesity-related co-morbidities. Obes Surg. 2007;17:1451–1456. doi: 10.1007/s11695-008-9422-1. [DOI] [PubMed] [Google Scholar]
  • 23.Joseph B, Morton JM, Hernandez-Boussard T, Rubinfeld I, Faraj C, Velanovich V. Relationship between hospital volume, system clinical resources, and mortality in pancreatic resection. J Am Coll Surg. 2009;208:520–527. doi: 10.1016/j.jamcollsurg.2009.01.019. [DOI] [PubMed] [Google Scholar]
  • 24.Larson DW, Marcello PW, Larach SW, et al. Surgeon volume does not predict outcomes in the setting of technical credentialing: results from a randomized trial in colon cancer. Ann Surg. 2008;248:746–750. doi: 10.1097/SLA.0b013e31818a157d. [DOI] [PubMed] [Google Scholar]
  • 25.Belle SH, Berk PD, Courcoulas AP, et al. Safety and efficacy of bariatric surgery: Longitudinal Assessment of Bariatric Surgery. Surg Obes Relat Dis. 2007;3:116–126. doi: 10.1016/j.soard.2007.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Billingsley KG, Morris AM, Dominitz JA, et al. Surgeon and hospital characteristics as predictors of major adverse outcomes following colon cancer surgery: understanding the volume-outcome relationship. Arch Surg. 2007;142:23–31. doi: 10.1001/archsurg.142.1.23. discussion 32. [DOI] [PubMed] [Google Scholar]
  • 27.Hollenbeck BK, Daignault S, Dunn RL, Gilbert S, Weizer AZ, Miller DC. Getting under the hood of the volume-outcome relationship for radical cystectomy. J Urol. 2007;177:2095–2099. doi: 10.1016/j.juro.2007.01.153. discussion 2099. [DOI] [PubMed] [Google Scholar]
  • 28.Reavis KM, Hinojosa MW, Smith BR, Wooldridge JB, Krishnan S, Nguyen NT. Hospital volume is not a predictor of outcomes after gastrectomy for neoplasm. Am Surg. 2009;75:932–936. [PubMed] [Google Scholar]
  • 29.American College of Surgeons Bariatric Surgery Center Network Accreditation Program. Bariatric Accreditation Program Manual [Google Scholar]
  • 30.Surgical Review Corporation. BSCOE Requirements: Provisional Status [Google Scholar]
  • 31.Chowdhury MM, Dagash H, Pierro A. A systematic review of the impact of volume of surgery and specialization on patient outcome. Br J Surg. 2007;94:145–161. doi: 10.1002/bjs.5714. [DOI] [PubMed] [Google Scholar]
  • 32.Shikora SA, Kim JJ, Tarnoff ME, Raskin E, Shore R. Laparoscopic Rouxen-Y gastric bypass: results and learning curve of a high-volume academic program. Arch Surg. 2005;140:362–367. doi: 10.1001/archsurg.140.4.362. [DOI] [PubMed] [Google Scholar]
  • 33.Nathan H, Cameron JL, Choti MA, Schulick RD, Pawlik TM. The volume-outcomes effect in hepato-pancreato-biliary surgery: hospital versus surgeon contributions and specificity of the relationship. J Am Coll Surg. 2009;208:528–538. doi: 10.1016/j.jamcollsurg.2009.01.007. [DOI] [PubMed] [Google Scholar]
  • 34.Tzortzis V, Gravas S, Mitsogiannis IC, et al. Impact of stapling devices on radical cystectomy: comparative study between low- and high-volume surgeons. Urology. 2008;71:337–340. doi: 10.1016/j.urology.2007.10.032. [DOI] [PubMed] [Google Scholar]
  • 35.Hollenbeck BK, Wei Y, Birkmeyer JD. Volume, process of care, and operative mortality for cystectomy for bladder cancer. Urology. 2007;69:871–875. doi: 10.1016/j.urology.2007.01.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Livingston EH. Relationship between surgeon volume and adverse outcomes after Roux-en-Y gastric bypass in Longitudinal Assessment of Bariatric Surgery (LABS) study. Surg Obes Relat Dis. 2010;6:587–588. doi: 10.1016/j.soard.2010.05.023. [DOI] [PubMed] [Google Scholar]

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