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We aimed to quantify and predict variability that exists in resource utilization after pancreaticoduodenectomy and determine how such variability impacts postoperative outcomes.The University HealthSystems Consortium database was queried for all pancreaticoduodenectomies performed between 2011-2013 (n = 9,737). A composite resource utilization score was created using z-scores of 8 clinically significant postoperative care delivery variables including number of laboratory tests, imaging tests, computed tomographic scans, days on antibiotics, anticoagulation, antiemetics, promotility agents, and total number of blood products transfused per patient. Logistic, Poisson, and gamma regression models were used to determine predictors of increased variability in care between patients.Having a high (versus low) resource utilization score after pancreaticoduodenectomy correlated with increased duration of stay; (odds ratio 2.28), cost (odds ratio 1.89), readmission rate (odds ratio 1.46), and mortality (odds ratio 7.54). Patient-specific factors were the strongest predictors and included extreme severity of illness (odds ratio 114), major comorbidities/complications (odds ratio 5.99), and admission prior to procedure (odds ratio 2.72; all P .01). Surgeon and center volume were not associated with resource utilization.Public reporting of patient outcomes and resource utilization, invariably tied to reimbursement in the near future, should consider that much of the postoperative variability after complex pancreatic operation is related to patient-specific risk factors.

A growing number of renal transplant recipients have a body mass index ≥40. While previous studies have shown that patient and graft survival are significantly decreased in renal transplant recipients with body mass indexes ≥40, less is known about perioperative outcomes and resource utilization in morbidly obese patients. We aimed to analyze the effects of morbid obesity on these parameters in renal transplant.Using a linkage between the Scientific Registry of Transplant Recipients and the databases of the University HealthSystem Consortium, we identified 29,728 adult renal transplant recipients and divided them into 2 cohorts based on body mass index (40 vs ≥40 kg/mBody mass index ≥40 recipients incurred greater direct costs ($84,075 vs $79,580, P .01), index admission costs ($91,169 vs $86,141, P .01), readmission costs ($5,306 vs $4,596, P = .01), and combined costs ($99,590 vs $93,939, P .001). Thirty-day readmission rates were also greater among body mass index ≥40 recipients (33.92% vs 26.9%, P .01). Morbid obesity was not predictive of stay (odds ratio 1.01, P = .75).Morbidly obese renal transplant recipients incur greater costs and readmission rates compared with nonobese patients. Recognition of increased resource utilization should be accompanied by appropriate, risk-adjustment reimbursement.

We have previously shown that inferior outcomes at safety-net hospitals are largely dependent on hospital factors. We hypothesized that hospitals providing "high value" care (low cost and better outcomes) would have advantages in human and financial resources.The University HealthSystems Consortium Clinical Database and the American Hospital Association Annual Survey were used to examine hospitals performing eight complex surgical procedures from 2009 to 2013. Hospitals in the lowest quartiles of both mortality rate and cost were characterized as high value (n = 45), whereas those in the highest quartiles of both cost and mortality were low value (n = 45). Hospital size, staffing, and financial characteristics were compared between these two groups.On average, high-value hospitals had lower proportions of Medicaid patient days (17% versus 30%; P 0.01), higher proportions of outpatient surgery (63% versus 53%; P 0.01), and spent more on capital expenditures per bed ($155,710 versus $62,434; P 0.05). Also, high-value hospitals employed more hospitalists (0.08 versus 0.04 per bed; P 0.01), had more privileged physicians (2.04 versus 1.25 per bed; P 0.01), and had more full-time equivalent personnel (8.48 versus 6.79 per bed; all P 0.05). As a result, these hospitals appeared to be more efficient; high-value hospitals had more total admissions per bed (46 versus 38; P 0.01), fewer days per admission (5.20 versus 5.77; P 0.01), and more inpatient surgeries per bed (15.7 versus 12.6; all P 0.05).Hospitals that invest in more human resources and demonstrate increased throughput perform complex surgery at higher "value" (i.e., lower costs and mortality). Value-based purchasing initiatives that link hospital reimbursement to unadjusted surgical outcomes may exacerbate, rather than improve, disparities in surgical care that currently exist.

Background The rate and consequences of reoperation after liver transplantation (LT) are unknown in the United States. Study Design Adult patients (n = 10,295; 45% of all LT) undergoing LT from 2009 through 2012 were examined using a linkage of the University HealthSystem Consortium and Scientific Registry of Transplant Recipients databases providing recipient, donor, center, hospitalization, and survival details. Median follow-up was 2 years. Reoperations were identified within 90 days after LT. Results Overall 90-day reoperation rate after LT was 29.3%. Risk factors for 90-day reoperation included recipients with a history of hemodialysis, severely ill functional status, government insurance, increasing Model for End-Stage Liver Disease score, and increasing donor risk index. Reoperation within 90 days was found to be an independent predictor of adjusted 1-year mortality (odds ratio = 1.8; 95% CI, 1.5–2.1), as was government-provided insurance and increasing donor risk index. Additionally, patients undergoing delayed reoperative intervention (after 30 days) were found to have increased risk of 1-year mortality compared with those undergoing early reoperative intervention (odds ratio = 1.96; 95% CI, 1.4–2.7; p Conclusions This is the first national study reporting that nearly one-third of transplant recipients undergo reoperation within 90 days of LT. Although necessary at times, reoperation is associated with increased risk of death at 1 year; however, it appears that the timing of these interventions can be critical, due to the type of intervention required. Early reoperative intervention does not appear to influence long-term outcomes, and delayed intervention (after 30 days) is strongly associated with decreased survival.

Urgent colectomy is a common procedure with a high mortality rate that is performed by a variety of surgeons and hospitals. We investigated patient, surgeon, and hospital characteristics that predicted mortality after urgent colectomy.The University HealthSystem Consortium was queried for adults undergoing urgent or emergent colectomy between 2009 and 2013 (n = 50,707). Hospitals were grouped into quartiles according to risk-adjusted observed-to-expected (O/E) mortality ratios and compared using the 2013 American Hospital Association Annual Survey. Multiple logistic regression was used to determine patient and provider characteristics associated with in-hospital mortality.The overall mortality rate after urgent colectomy was 9 %. Mortality rates were higher for patients with extreme severity of illness (27.6 %), lowest socioeconomic status (10.6 %), weekend admissions (10.7 %), and open (10.5 %) and total (15.8 %) colectomies. Hospitals with the lowest O/E ratios were smaller and had lower volume and less teaching intensity, but there were no significant trends with regard to financial (expenses, payroll, capital expenditures per bed) or personnel characteristics (physicians, nurses, technicians per bed). On multivariate analysis, mortality was associated with patient age (10 years: OR 1.31, p 0.01), severity of illness (extreme: OR 34.68, p 0.01), insurance status (Medicaid: OR 1.24, p 0.01; uninsured: OR 1.40, p 0.01), and weekend admission (OR 1.09, p = 0.04). Surgeon volume was associated with reduced mortality (per 10 cases: OR 0.99, p 0.01), but hospital volume was not (per case: OR 1.00, p = 0.84).Mortality is common after urgent colectomy and is associated with patient characteristics. Surgeon volume and practice patterns predicted differences in mortality, whereas hospital factors did not. These data suggest that policies focusing solely on hospital volume ignore other more important predictors of patient outcomes.

Efforts to regionalize surgery based on thresholds in procedure volume may have consequences on the cost of health care delivery. This study aims to delineate the relationship between hospital volume, case mix, and variability in the cost of operative intervention using colectomy as the model.All patients undergoing colectomy (n = 90,583) at 183 academic hospitals from 2009-2012 in The University HealthSystems Consortium Database were studied. Patient and procedure details were used to generate a case mix-adjusted predictive model of total direct costs. Observed to expected costs for each center were evaluated between centers based on overall procedure volume.Patient and procedure characteristics were significantly different between volume tertiles. Observed costs at high-volume centers were less than at middle- and low-volume centers. According to our predictive model, high-volume centers cared for a less expensive case mix than middle- and low-volume centers ($12,786 vs $13,236 and $14,497, P .01). Our predictive model accounted for 44% of the variation in costs. Overall efficiency (standardized observed to expected costs) was greatest at high-volume centers compared to middle- and low-volume tertiles (z score -0.16 vs 0.02 and -0.07, P .01).Hospital costs and cost efficiency after an elective colectomy varies significantly between centers and may be attributed partially to the patient differences at those centers. These data demonstrate that a significant proportion of the cost variation is due to a distinct case mix at low-volume centers, which may lead to perceived poor performance at these centers.

Background Metabolic syndrome is increasing among patients undergoing liver transplantation. Nonalcoholic steatohepatitis is a manifestation of metabolic syndrome and is an increasingly common cause of end-stage liver disease necessitating orthotopic liver transplantation. We sought to determine the effect of preoperative risk factors on the development of post-transplant metabolic syndrome, complications, readmissions, and mortality. Methods We conducted a review of 114 orthotopic liver transplantations at our institution from May 2012 to April 2014. Results Patients with (n = 19) and without (n = 95) metabolic syndrome were similar with regard to age, race, and model for end-stage liver disease at time of transplant. Donor and operative factors also were similar between the groups. Preoperative diabetes was found to be associated with an increased rate of readmission (odds ratio 3.45, P = .03). While preoperative metabolic syndrome itself was not a significant predictor of worse outcomes, postoperative metabolic syndrome was associated with significantly greater readmissions in the first year. Major predictors of new onset metabolic syndrome after orthotopic liver transplantation included preoperative diabetes and obesity (odds ratio 8.54 and odds ratio 5.49, P Conclusion Efforts to decrease the incidence of postoperative metabolic syndrome after orthotopic liver transplantation may decrease readmissions and improve outcomes, along with decreasing resource utilization.

BACKGROUND For nearly a decade, our center performed thromboelastograms (TEGs) to analyze coagulation profiles, allowing rapid data-driven blood component therapy. After consensus recommendations for massive transfusion protocols (MTPs), we implemented an MTP in October 2009 with 1:1:1 ratio of blood (red blood cells [RBC]), plasma (fresh-frozen plasma [FFP]), and platelets. We hypothesized that TEG-directed resuscitation is equivalent to MTP resuscitation. METHODS All patients receiving 6 units (U) or more of RBC in the first 24 hours for 21 months before and after MTP initiation in an urban Level I trauma center were examined. Demographics, mechanism of injury (MOI), Injury Severity Score (ISS), 24-hour volume of RBC, FFP, platelets, crystalloid, and 30-day mortality were compared, excluding patients with traumatic brain injuries. Variables were analyzed using Student's t-test and χ2 or Fisher's exact test. RESULTS For the preMTP group, there were 165 patients. In the MTP group, there were 124 patients. There were no significant differences in ISS, age, or sex. PreMTP patients with 6U or more RBC had significantly more penetrating MOI (p = 0.017), whereas preMTP patients with 10U or more RBC had similar MOIs. All patients received less crystalloid after MTP adoption (p < 0.001). There was no difference in volume of blood products or mortality in patients receiving 6U or more RBC. Blunt trauma MTP patients who received 10U or more RBC received more FFP (p = 0.02), with no change in mortality. Penetrating trauma patients who received 10U or more RBC received a similar volume of FFP; however, mortality increased from 54.1% for MTP versus 33.3% preMTP (p = 0.04). CONCLUSION TEG-directed resuscitation is equivalent to standardized MTP for patients receiving 6U or more RBC and for blunt MOI patients receiving 10U or more RBC. MTP therapy worsened mortality in penetrating MOI patients receiving 10U or more RBC, indicating a continued need for TEG-directed therapy. A 1:1:1 strategy may not be adequate in all patients. LEVEL OF EVIDENCE Therapeutic study, level IV.