Outcomes of Women Undergoing Noncardiac Surgery in Veterans Affairs Compared With Non-Veterans Affairs Care Settings.

Importance: Recent legislation facilitates veterans' ability to receive non-Veterans Affairs (VA) surgical care. Although veterans are predominantly male, the number of women receiving care within the VA has nearly doubled to 10% over the past decade and recent data comparing the surgical care of women in VA and non-VA care settings are lacking. Objective: To compare postoperative outcomes among women treated in VA hospitals vs private-sector hospitals. Design, Setting, and Participants: This coarsened exact-matched cohort study across 9 noncardiac specialties in the Veterans Affairs Surgical Quality Improvement Program (VASQIP) and American College of Surgeons National Surgical Quality Improvement Program (NSQIP) took place from January 1, 2016, to December 31, 2019. Multivariable Poisson models with robust standard errors were used to evaluate the association between VA vs private-sector care settings and 30-day mortality. Hospitals participating in American College of Surgeons NSQIP and VASQIP were included. Data analysis was performed in January 2023. Participants included female patients 18 years old or older. Exposures: Surgical care in VA or private-sector hospitals. Main Outcomes and Measures: Postoperative 30-day mortality and failure to rescue (FTR). Results: Among 1 913 033 procedures analyzed, patients in VASQIP were younger (VASQIP: mean age, 49.8 [SD, 13.0] years; NSQIP: mean age, 55.9 [SD, 16.9] years; P < .001) and although most patients in both groups identified as White, there were significantly more Black women in VASQIP compared with NSQIP (29.6% vs 12.7%; P < .001). The mean risk analysis index score was lower in VASQIP (13.9 [SD, 6.4]) compared with NSQIP (16.3 [SD, 7.8]) (P < .001 for both). Patients in the VA were more likely to have a preoperative acute serious condition (2.4% vs 1.8%: P < .001), but cases in NSQIP were more frequently emergent (6.9% vs 2.6%; P < .001). The 30-day mortality, complications, and FTR were 0.2%, 3.2%, and 0.1% in VASQIP (n = 36 762 procedures) as compared with 0.8%, 5.0%, and 0.5% in NSQIP (n = 1 876 271 procedures), respectively (all P < .001). Among 1 763 540 matched women (n = 36 478 procedures in VASQIP; n = 1 727 062 procedures in NSQIP), these rates were 0.3%, 3.7%, and 0.2% in NSQIP and 0.1%, 3.4%, and 0.1% in VASQIP (all P < .01). Relative to private-sector care, VA surgical care was associated with a lower risk of death (adjusted risk ratio [aRR], 0.41; 95% CI, 0.23-0.76). This finding was robust among women undergoing gynecologic surgery, inpatient surgery, and low-physiologic stress procedures. VA surgical care was also associated with lower risk of FTR (aRR, 0.41; 95% CI, 0.18-0.92) for frail or Black women and inpatient and low-physiologic stress procedures. Conclusions and Relevance: Although women comprise the minority of veterans receiving care within the VA, in this study, VA surgical care for women was associated with half the risk of postoperative death and FTR. The VA appears better equipped to meet the unique surgical needs and risk profiles of veterans, regardless of sex and health policy decisions, including funding, should reflect these important outcome differences.

Hospital Variation in Mortality and Failure to Rescue after Surgery for High-Risk Neonatal Diagnoses.

INTRODUCTION: A large proportion of postoperative mortality after pediatric surgery occurs among neonates with specific high-risk diagnoses. The extent to which there is hospital-level mortality variation among patients with these diagnoses and whether this variation is associated with differences in failure to rescue (FTR) is unclear. METHODS: The Pediatric Health Information System® database (2012-2020) was used to identify patients who underwent surgery for eight high-risk neonatal diagnoses: gastroschisis; volvulus; necrotizing enterocolitis; intestinal atresia; meconium peritonitis; tracheoesophageal fistula; congenital diaphragmatic hernia; and perinatal intestinal perforation. Hospitals were stratified into tertiles of reliability-adjusted inpatient mortality rates (lower than average mortality - tertile 1 [T1]; higher than average mortality - tertile 3 [T3]). Multivariable hierarchical regression was used to evaluate the association between hospital-level, reliability-adjusted mortality and FTR. RESULTS: Overall, 20,838 infants were identified across 48 academic, pediatric hospitals. Adjusted hospital mortality rates ranged from 4.0% (95% CI, 0.0-8.2) to 16.3% (12.2-20.4). Median case volume (range, 80-1,238) and number of NICU beds (range, 24-126) were not significantly different across hospital tertiles. Compared to the hospitals with the lowest postoperative mortality (T1), the odds of FTR were significantly higher in hospitals with the highest (T3) postoperative mortality (odds ratio 1.97 [1.50-2.59]). CONCLUSIONS: Significant variation in neonatal hospital mortality for high-risk diagnoses does not appear to be explained by hospital structural characteristics. Rather, difference in FTR suggests quality improvement interventions targeting early recognition and management of postoperative complications could improve surgical quality and safety for high-risk neonatal care.

Utility of Hospital Failure to Rescue for Analyzing Variation in Pediatric Postoperative Mortality.

OBJECTIVES: To evaluate the association between pediatric hospital performances in terms of failure to rescue (FTR), defined as postoperative mortality after a surgical complication, and mortality among patients without a surgical complication. DESIGN: Retrospective cohort study. SETTING: Forty-eight academic, pediatric hospitals; data obtained from Pediatric Health Information System database (Child Health Corporation of America, Shawnee Mission, KS) (2012-2020). PATIENTS: Children who underwent at least one of 57 high-risk operations associated with significant postoperative mortality. EXPOSURES: Hospitals were stratified into quintiles of reliability adjusted FTR (lower than average FTR in quintile 1 [Q1], higher than average FTR in quintile 5 [Q5]). Multivariable hierarchical regression was used to evaluate the association between hospital FTR performance and mortality among patients who did not have a surgical complication. MEASUREMENTS AND MAIN RESULTS: Among 203,242 children treated across 48 academic hospitals, the complication and overall postoperative mortality rates were 8.8% and 2.3%, respectively. Among patients who had a complication, the FTR rate was 8.8%. Among patients who did not have a complication, the mortality rate was 1.7%. There was a 6.5-fold increase in reliability adjusted FTR between the lowest and highest performing hospitals (lowest FTR hospital-2.7%; 95% CI [1.6-3.9]; highest FTR hospital-17.8% [16.8-18.8]). Complex chronic conditions were highly prevalent across hospitals (Q1, 72.7%; Q2, 73.8%; Q3, 72.2%; Q4, 74.0%; Q5, 74.8%; trend test p < 0.01). Relative to Q1 hospitals, the odds of mortality in the absence of a postoperative complication significantly increased by 33% at Q5 hospitals (odds ratio 1.33; 95% CI [1.07-1.66]). This association was consistent when limited to patients with a complex chronic condition and neonates. CONCLUSION: FTR may be a useful and valid surgical quality measure for pediatric surgery, even when considering patients without a postoperative complication. These findings suggest practices and processes for preventing FTR at high performing pediatric hospitals might help mitigate the risk of postoperative mortality even in the absence of a postoperative complication.

Case Sampling for Evaluating Hospital Postoperative Morbidity in US Surgical Quality Improvement Programs.

Importance: US surgical quality improvement (QI) programs use data from a systematic sample of surgical cases, rather than universal review of all cases, to assess and compare risk-adjusted hospital postoperative complication rates. Given decreasing postoperative complication rates over time and the types of cases eligible for abstraction, it is unclear whether case sampling is robust for identifying hospitals with higher than expected complications. Objective: To compare the assessment of hospital 30-day complication rates derived from sampling strategy used by some US surgical QI programs relative to universal review of all cases. Design, Setting, and Participants: This US hospital-level analysis took place from January 1, 2016, through September 30, 2020. Data analysis was performed from July 1, 2022, through December 21, 2022. Quarterly, risk-adjusted, 30-day complication observed to expected (O-E) ratios were calculated for each hospital using the sample (n = 502 730) and universal review (n = 1 725 364). Outlier hospitals (ie, those with higher than expected mortality) were identified using an O-E ratio significantly greater than 1.0. Patients 18 years and older who underwent a noncardiac operation at US Department of Veterans Affairs (VA) hospitals with a record in the VA Surgical Quality Improvement Program (systematic sample) and the VA Corporate Data Warehouse surgical domain (100% of surgical cases) were included. Main Outcome Measure: Thirty-day complications. Results: Most patients in both the representative sample and the universal sample were men (90.2% vs 91.2%) and White (74.7% vs 74.5%). Overall, 30-day complication rates were 7.6% and 5.3% for the sample and universal review cohorts, respectively (P < .001). Over 2145 hospital quarters of data, hospitals were identified as an outlier in 15.0% of quarters using the sample and 18.2% with universal review. Average hospital quarterly complication rates were 4.7%, 7.2%, and 7.4% for outliers identified using the sample only, universal review only, and concurrent identification in both data sources, respectively. For nonsampled cases, average hospital quarterly complication rates were 7.0% at outliers and 4.4% at nonoutliers. Among outlier hospital quarters in the sample, 54.2% were concurrently identified with universal review. For those identified with universal review, 44.6% were concurrently identified using the sample. Conclusion: In this observational study, case sampling identified less than half of hospitals with excess risk-adjusted postoperative complication rates. Future work is needed to ascertain how to best use currently collected data and whether alternative data collection strategies may be needed to better inform local QI efforts.

Association between readmission care fragmentation and outcomes after interventions for peripheral arterial disease.

OBJECTIVE: Lower extremity revascularization (LER) for peripheral artery disease is complicated by the frequent need for readmission. However, it is unclear if readmission to a nonindex LER facility (ie, a facility different from the one where the LER was performed) compared with the index LER facility is associated with worse outcomes. METHODS: This was a national cohort study of older adults who underwent open, endovascular, or hybrid LER for peripheral artery disease (January 1, 2010, to December 31, 2018) in the Vascular Quality Initiative who were readmitted within 90 days of their vascular procedure. This dataset was linked to Medicare claims and the American Hospital Association Annual Survey. The primary outcome was 90-day mortality and the secondary outcome was major amputation at 90 days after LER. The primary exposure was the location of the first readmission after LER (categorized as occurring at the index LER facility vs a nonindex LER facility). Generalized estimating equations logistic regression models were used to assess the association between readmission location and 90-day mortality and amputation. RESULTS: Among 42,429 patients who underwent LER, 33.0% were readmitted within 90 days. Of those who were readmitted, 27.3% were readmitted to a nonindex LER facility, and 42.2% of all readmissions were associated with procedure-related complications. Compared with patients readmitted to the index LER facility, those readmitted to a nonindex facility had a lower proportion of procedure-related reasons for readmission (21.5% vs 50.1%; P < .001). Most of the patients readmitted to a nonindex LER facility lived further than 31 miles from the index LER facility (39.2% vs 19.6%; P < .001) and were readmitted to a facility with a total bed size of <250 (60.1% vs 11.9%; P < .001). Readmission to a nonindex LER facility was not associated with 90-day mortality or 90-day amputation. However, readmission for a procedure-related complication was associated with major amputation (90-day amputation: adjusted odds ratio, 3.33; 95% confidence interval, 2.89-3.82). CONCLUSIONS: Readmission after LER for a procedure-related complication is associated with subsequent amputation. This finding suggests that quality improvement efforts should focus on understanding various types of procedure-related failure after LER and its role in limb salvage.

Treatment Disparities Partially Mediate Socioeconomic- and Race/Ethnicity-Based Survival Disparities in Stage I-II Hepatocellular Carcinoma.

BACKGROUND: Low socioeconomic status (SES) patients with early-stage hepatocellular carcinoma (HCC) receive procedural treatments less often and have shorter survival. Little is known about the extent to which these survival disparities result from treatment-related disparities versus other causal pathways. We aimed to estimate the proportion of SES-based survival disparities that are mediated by treatment- and facility-related factors among patients with stage I-II HCC. METHODS: We analyzed patients aged 18-75 years diagnosed with stage I-II HCC in 2008-2016 using the National Cancer Database. Inverse odds weighting mediation analysis was used to calculate the proportion mediated by three mediators: procedure type, facility volume, and facility procedural interventions offered. Intersectional analyses were performed to determine whether treatment disparities played a larger role in survival disparities among Black and Hispanic patients. RESULTS: Among 46,003 patients, 15.0% had low SES, 71.6% had middle SES, and 13.4% had high SES. Five-year overall survival was 46.9%, 39.9%, and 35.7% among high, middle, and low SES patients, respectively. Procedure type mediated 45.9% (95% confidence interval [CI] 31.1-60.7%) and 36.7% (95% CI 25.7-47.7%) of overall survival disparities for low and middle SES patients, respectively, which was more than was mediated by the two facility-level mediators. Procedure type mediated a larger proportion of survival disparities among low-middle SES Black (46.6-48.2%) and Hispanic patients (92.9-93.7%) than in White patients (29.5-29.7%). CONCLUSIONS: SES-based disparities in use of procedural interventions mediate a large proportion of survival disparities, particularly among Black and Hispanic patients. Initiatives aimed at attenuating these treatment disparities should be pursued.

Case Sampling vs Universal Review for Evaluating Hospital Postoperative Mortality in US Surgical Quality Improvement Programs.

Importance: Representative surgical case sampling, rather than universal review, is used by US Department of Veterans Affairs (VA) and private-sector national surgical quality improvement (QI) programs to assess program performance and to inform local QI and performance improvement efforts. However, it is unclear whether case sampling is robust for identifying hospitals with safety or quality concerns. Objective: To evaluate whether the sampling strategy used by several national surgical QI programs provides hospitals with data that are representative of their overall quality and safety, as measured by 30-day mortality. Design, Setting, and Participants: This comparative effectiveness study was a national, hospital-level analysis of data from adult patients (aged ≥18 years) who underwent noncardiac surgery at a VA hospital between January 1, 2016, and September 30, 2020. Data were obtained from the VA Surgical Quality Improvement Program (representative sample) and the VA Corporate Data Warehouse surgical domain (100% of surgical cases). Data analysis was performed from July 1 to December 21, 2022. Main Outcomes and Measures: The primary outcome was postoperative 30-day mortality. Quarterly, risk-adjusted, 30-day mortality observed-to-expected (O-E) ratios were calculated separately for each hospital using the sample and universal review cohorts. Outlier hospitals (ie, those with higher-than-expected mortality) were identified using an O-E ratio significantly greater than 1.0. Results: In this study of data from 113 US Department of Veterans Affairs hospitals, the sample cohort comprised 502 953 surgical cases and the universal review cohort comprised 1 703 140. The majority of patients in both the representative sample and the universal sample were men (90.2% vs 91.1%) and were White (74.7% vs 74.5%). Overall, 30-day mortality was 0.8% and 0.6% for the sample and universal review cohorts, respectively (P < .001). Over 2145 quarters of data, hospitals were identified as an outlier in 11.7% of quarters with sampling and in 13.2% with universal review. Average hospital quarterly 30-day mortality rates were 0.4%, 0.8%, and 0.9% for outlier hospitals identified using the sample only, universal review only, and concurrent identification in both data sources, respectively. For nonsampled cases, average hospital quarterly 30-day mortality rates were 1.0% at outlier hospitals and 0.5% at nonoutliers. Among outlier hospital quarters in the sample, 47.4% were concurrently identified with universal review. For those identified with universal review, 42.1% were concurrently identified using the sample. Conclusions and Relevance: In this national, hospital-level study, sampling strategies employed by national surgical QI programs identified less than half of hospitals with higher-than-expected perioperative mortality. These findings suggest that sampling may not adequately represent overall surgical program performance or provide stakeholders with the data necessary to inform QI efforts.

Risk-Adjusted Cumulative Sum for Early Detection of Hospitals With Excess Perioperative Mortality.

Importance: National surgical quality improvement programs lack tools for early detection of quality or safety concerns, which risks patient safety because of delayed recognition of poor performance. Objective: To compare the risk-adjusted cumulative sum (CUSUM) with episodic evaluation for early detection of hospitals with excess perioperative mortality. Design, Setting, and Participants: National, observational, hospital-level, comparative effectiveness study of 697 566 patients. Identification of hospitals with excess, risk-adjusted, quarterly 30-day mortality using observed to expected ratios (ie, current criterion standard in the Veterans Affairs Surgical Quality Improvement Program) was compared with the risk-adjusted CUSUM. Patients included in the study underwent a noncardiac operation at a Veterans Affairs hospital, had a record in the Veterans Affairs Surgical Quality Improvement Program (January 1, 2011, through December 31, 2016), and were aged 18 years or older. Main Outcome and Measure: Number of hospitals identified as having excess risk-adjusted 30-day mortality. Results: The cohort included 697 566 patients treated at 104 hospitals across 24 quarters. The mean (SD) age was 60.9 (13.2) years, 91.4% were male, and 8.6% were female. For each hospital, the median number of quarters detected with observed to expected ratios, at least 1 CUSUM signal, and more than 1 CUSUM signal was 2 quarters (IQR, 1-4 quarters), 8 quarters (IQR, 4-11 quarters), and 3 quarters (IQR, 1-4 quarters), respectively. During 2496 total quarters of data, outlier hospitals were identified 33.3% of the time (830 quarters) with at least 1 CUSUM signal within a quarter, 12.5% (311 quarters) with more than 1 CUSUM signal, and 11.0% (274 quarters) with observed to expected ratios at the end of the quarter. The CUSUM detection occurred a median of 49 days (IQR, 25-63 days) before observed to expected ratio reporting (1 signal, 35 days [IQR, 17-54 days]; 2 signals, 49 days [IQR, 26-61 days]; 3 signals, 58 days [IQR, 44-69 days]; ≥4 signals, 49 days [IQR, 42-69 days]; trend test, P < .001). Of 274 hospital quarters detected with observed to expected ratios, 72.6% (199) were concurrently detected by at least 1 CUSUM signal vs 42.7% (117) by more than 1 CUSUM signal. There was a dose-response relationship between the number of CUSUM signals in a quarter and the median observed to expected ratio (0 signals, 0.63; 1 signal, 1.28; 2 signals, 1.58; 3 signals, 2.08; ≥4 signals, 2.49; trend test, P < .001). Conclusions: This study found that with CUSUM, hospitals with excess perioperative mortality can be identified well in advance of standard end-of-quarter reporting, which suggests episodic evaluation strategies fail to detect out-of-control processes and place patients at risk. Continuous performance evaluation tools should be adopted in national quality improvement programs to prevent avoidable patient harm.

A Retrospective Cohort Study to Evaluate Adding Biomarkers to the Risk Analysis Index of Frailty.

INTRODUCTION: The Risk Analysis Index (RAI) is a frailty assessment tool associated with adverse postoperative outcomes including 180 and 365-d mortality. However, the RAI has been criticized for only containing subjective inputs rather than including more objective components such as biomarkers. METHODS: We conducted a retrospective cohort study to assess the benefit of adding common biomarkers to the RAI using the Veterans Affairs Surgical Quality Improvement Program (VASQIP) database. RAI plus body mass index (BMI), creatinine, hematocrit, and albumin were evaluated as individual and composite variables on 180-d postoperative mortality. RESULTS: Among 480,731 noncardiac cases in VASQIP from 2010 to 2014, 324,320 (67%) met our inclusion criteria. Frail patients (RAI ≥30) made up to 13.0% of the sample. RAI demonstrated strong discrimination for 180-d mortality (c = 0.839 [0.836-0.843]). Discrimination significantly improved with the addition of Hematocrit (c = 0.862 [0.859-0.865]) and albumin (c = 0.870 [0.866-0.873]), but not for body mass index (BMI) or creatinine. However, calibration plots demonstrate that the improvement was primarily at high RAI values where the model overpredicts observed mortality. CONCLUSIONS: While RAI's ability to predict the risk of 180-d postoperative mortality improves with the addition of certain biomarkers, this only observed in patients classified as very frail (RAI >49). Because very frail patients have significantly elevated observed and predicted mortality, the improved discrimination is likely of limited clinical utility for a frailty screening tool.

Ureteral reconstruction with appendiceal interposition graft following resection of retroperitoneal leiomyosarcoma.

Ureteral defects can be repaired using a variety of different techniques that depend on the length and position of the defect. Here we describe a case where a long, upper-ureteral defect was successfully reconstructed using an appendiceal interposition graft. A 60-year-old female patient underwent resection of a right-sided retroperitoneal leiomyosarcoma that was encasing the entire upper ureter and obstructing the right kidney. The mass was resected en bloc, leaving behind an 11 cm ureteral defect. The defect was successfully reconstructed with an appendiceal interposition graft. Appendiceal interposition grafts are a feasible and effective approach for ureteral reconstruction in adults following oncologic resection. We describe various technical aspects that optimize the success of ureteral reconstruction.

Racial Differences in Vascular Assessment Prior to Amputation in the Veterans Health Administration.

Purpose: It is unclear whether disparities in the care provided before lower extremity amputation (LEA) is driven by differences in receipt of diagnostic work-up versus revascularization attempts. Methods: We performed a national cohort study of Veterans who underwent LEA between March 2010 and February 2020 to assess receipt of vascular assessment with arterial imaging and/or revascularization in the year prior to LEA. Results: Among 19,396 veterans (mean age 66.8 years; 26.6% Black), Black veterans had diagnostic procedures more often than White veterans (47.5% vs. 44.5%) and revascularization as often (25.8% vs. 24.5%). Conclusion: We must identify patient and facility-level factors associated with LEA as disparities do not appear related to differences in attempted revascularization.

Association of Health Care Utilization and Access to Care With Vascular Assessment Before Major Lower Extremity Amputation Among US Veterans.

Importance: Patient-level characteristics alone do not account for variation in care among US veterans with peripheral artery disease (PAD). Presently, the extent to which health care utilization and regional practice variation are associated with veterans receiving vascular assessment prior to major lower extremity amputation (LEA) is unknown. Objective: To assess whether demographics, comorbidities, distance to primary care, the number of ambulatory clinic visits (primary and medical specialty care), and geographic region are associated with receipt of vascular assessment prior to LEA. Design, Setting, and Participants: This national cohort study used US Department of Veterans Affairs' Corporate Data Warehouse data from March 1, 2010, to February 28, 2020, for veterans aged 18 or older who underwent major LEA and who received care at Veterans Affairs facilities. Exposures: The number of ambulatory clinic visits (primary and medical specialty care) in the year prior to LEA, geographic region of residence, and distance to primary care. Main Outcomes and Measures: The main outcome was receipt of a vascular assessment (vascular imaging study or revascularization procedure) in the year prior to LEA. Results: Among 19 396 veterans, the mean (SD) age was 66.78 (10.20) years and 98.5% were male. In the year prior to LEA, 8.0% had no primary care visits and 30.1% did not have a vascular assessment. Compared with veterans with 4 to 11 primary care clinic visits, those with fewer visits were less likely to receive vascular assessment in the year prior to LEA (1-3 visits: adjusted odds ratio [aOR], 0.90; 95% CI, 0.82-0.99). Compared with veterans who lived less than 13 miles from the closest primary care facility, those who lived 13 miles or more from the facility were less likely to receive vascular assessment (aOR, 0.88; 95% CI, 0.80-0.95). Veterans who resided in the Midwest were most likely to undergo vascular assessment in the year prior to LEA than were those living in other regions. Conclusions and Relevance: In this cohort study, health care utilization, distance to primary care, and geographic region were associated with intensity of PAD treatment before LEA, suggesting that some veterans may be at greater risk of suboptimal PAD care practices. Development of clinical programs, such as remote patient monitoring and management, may represent potential opportunities to improve limb preservation rates and the overall quality of vascular care for veterans.

Evaluating the benefit of surgical resection for hepatocellular carcinoma with multifocality or intrahepatic vascular invasion.

BACKGROUND: The role of hepatectomy for hepatocellular carcinoma (HCC) with multifocality or intrahepatic vascular involvement remains ill-defined. Our objective was to evaluate benefits of surgical resection for patients with these high-risk features. METHODS: The National Cancer Database was used to identify HCC patients with vascular involvement and/or multifocality (T2/T3, N-/M-) from 2011 to 2015. Propensity score matching (k-nearest neighbors, no replacement, 1:1) grouped patients by treatment: surgical resection versus non-surgical modalities. Groups were matched using patient, clinical, and liver-specific characteristics. Median overall survival (OS) was calculated using Kaplan-Meier, and adjusted analyses were performed using shared frailty models. RESULTS: 14,557 patients met inclusion criteria, including 1892 (9.4%) treated with surgical resection. Median cohort OS was 20.5 months. After adjustment, surgical resection was associated with survival advantage compared to non-surgical treatment (37.8 versus 15.7 months, log-rank P < .001; adjusted hazard ratio 0.49, 95% confidence interval, 0.45-0.54). Patients with minimal comorbidity, unifocal disease, and age <54 had highest probability of survival one year post-surgery. CONCLUSIONS: Surgical resection is associated with a survival advantage in HCC with multifocality and/or intrahepatic vascular involvement. The presence of these features should not contraindicate consideration of hepatectomy in suitable surgical candidates.

Association Between Postoperative Complications and Long-term Survival After Non-cardiac Surgery Among Veterans.

OBJECTIVE: To evaluate the relationship between postoperative complications and long-term survival. SUMMARY AND BACKGROUND: Postoperative complications remain a significant driver of healthcare costs and are associated with increased perioperative mortality, yet the extent to which they are associated with long-term survival is unclear. METHODS: National cohort study of Veterans who underwent non-cardiac surgery using data from the Veterans Affairs Surgical Quality Improvement Program (2011-2016). Patients were classified as having undergone outpatient, low-risk inpatient, or high-risk inpatient surgery. Patients were categorized based on number and type of complications. The association between the number of complications (or the specific type of complication) and risk of death was evaluated using multivariable Cox regression with robust standard errors using a 90-day survival landmark. RESULTS: Among 699,002 patients, complication rates were 3.0%, 6.1%, and 18.3% for outpatient, low-risk inpatient, and high-risk inpatient surgery, respectively. There was a dose-response relationship between an increasing number of complications and overall risk of death in all operative settings [outpatient surgery: no complications (ref); one-hazard ratio (HR) 1.30 (1.23 - 1.38); multiple-HR 1.61 (1.46 - 1.78); low-risk inpatient surgery: one-HR 1.34 (1.26 - 1.41); multiple-HR 1.69 (1.55 - 1.85); high-risk inpatient surgery: one-HR 1.14 (1.10 - 1.18); multiple-HR 1.42 (1.36 - 1.48)]. All complication types were associated with risk of death in at least 1 operative setting, and pulmonary complications, sepsis, and clostridium difficile colitis were associated with higher risk of death across all settings. Conclusions: Postoperative complications have an adverse impact on patients' long-term survival beyond the immediate postoperative period. Although most research and quality improvement initiatives primarily focus on the perioperative impact of complications, these data suggest they also have important longer-term implications that merit further investigation.

Variation in hospital utilization of palliative interventions for patients with advanced gastrointestinal cancer near end of life.

BACKGROUND: Patients with advanced gastrointestinal (GI) cancer often undergo noncurative interventions with palliative intent to relieve high symptom burden near end of life. Hospital-level variation in intervention utilization remains unclear. METHODS: National cohort study of 142 304 patients with stage III or IV GI cancer within the National Cancer Database (2004-2014) who died within 1-year of diagnosis. Hospitals were stratified by palliative intervention utilization (surgery, chemotherapy, radiation, pain management). Multivariable, multinomial regression evaluated the association between patient/hospital factors and palliative intervention utilization. RESULTS: Across 1322 hospitals, median hospital palliative intervention utilization was 12.0% [interquartile range: 0.0%-26.1%]. Utilization increased over time in all but lowest utilizing hospitals. Relative to lowest utilizing hospitals, factors associated with a lower likelihood of care at highest utilizing hospitals included: race (White [ref]; Black-Relative Risk Ratio [RRR] 0.81, 95% confidence interval [0.77-0.85]) and lower income (RRR 0.81 [0.78-0.84]). Factors associated with a higher likelihood included: lower education level (RRR 1.62 [1.55-1.69]) and hospital type (community program [ref]; comprehensive community-RRR 1.33 [1.26-1.41]; academic-RRR 1.88 [1.77-1.99]; integrated network-RRR 1.79 [1.66-1.93]). CONCLUSION: Hospital variation in palliative intervention use is substantial and potentially associated with sociodemographic and hospital characteristics. Future work can examine how differences in hospital care processes translate to quantity/quality of life for cancer patients.