Complication Timing, Failure to Rescue, and Readmission After Inpatient Pediatric Surgery.

BACKGROUND: Complications are associated with postoperative mortality and readmission. However, the timing of complications relative to discharge and the extent to which timing is associated with failure to rescue (FTR) and readmission after pediatric surgery is unknown. Our goal was to describe the timing of complications relative to discharge after inpatient pediatric surgery and determine the association between complication timing, FTR, and unplanned readmission. MATERIALS AND METHODS: National cohort study of patients within the NSQIP-Pediatric database who underwent inpatient surgery (2012-2019). Complications were categorized based on when they occurred relative to discharge: only pre-discharge, only post-discharge, both. The association between perioperative outcomes and the timing of postoperative complications was evaluated with multivariable hierarchical regression. RESULTS: Among 378,551 patients, 30,213 (8.0%) had at least one postoperative complication. Relative to patients with pre-discharge complications, post-discharge complications were associated with significantly decreased odds of FTR (odds ratio 0.21, 95% confidence interval [0.15-0.28]) and significantly increased odds of readmission (odds ratio 19.37 [17.93-20.92]). Odds of FTR and readmission in patients with complications occurring both before and after discharge were similar to that of patients with only post-discharge complications. CONCLUSIONS: FTR and readmission are associated with complications occurring at different times relative to discharge (FTR primarily pre-discharge; readmission primarily post-discharge). This suggests a 'one size fits all' approach to surgical quality improvement may not be effective and different approaches are needed to address different quality indicators.

Automated Versus Semi-automated Lab Value Extraction for the VA Cardiac Surgical Quality Improvement Program.

INTRODUCTION: The Veterans Affairs Surgical Quality Improvement Program (VASQIP) trains surgical quality nurses (SQNs) at each Veterans Affairs (VA) hospital to extract or verify 187 variables from the medical record for all cardiac surgical cases. For ten preoperative laboratory values, VASQIP has a semiautomated (SA) system in which local lab values are automatically extracted, verified by SQNs, and lab values recorded at other VA facilities are manually extracted. The objective of this study was to develop and validate a method to automate the extraction of these ten preoperative laboratory values and compare results with the current SA method. MATERIALS AND METHODS: We developed methods to extract ten preoperative laboratory values and measurement dates from the VA Corporate Data Warehouse using Logical Observation Identifiers Names and Codes. Automated (A) versus SA information extraction was compared in terms of agreement, conformance to data definitions, proximity to surgery, and missingness. RESULTS: For surgeries with both A and SA lab values, the intraclass correlation coefficients for the ten variables ranged from 0.90 to 0.98. For several variables, the A method resulted in much lower rates of missing data (e.g., 2.4% versus 22.5% missing data for high-density lipoprotein) and eliminated out-of-date-range entries. CONCLUSIONS: Although SQN-extracted data are widely considered the gold standard within National Surgical Quality Improvement Programs, there may be advantages to fully automating extraction of lab values, including high congruence with SA SQN-extracted or verified values and lower rates of missingness and out-of-date-range data.

Exploring Health Literacy and Vascular Access Decision Making: A Scoping Review.

One in seven adults in the United States has chronic kidney disease (CKD) and individuals with the most severe form, end stage kidney disease (ESKD), may require renal replacement therapy with hemodialysis. Despite well-established guidelines indicating that arteriovenous access is the preferred type of vascular access for hemodialysis, in 2021, 85.4% of patients initiated dialysis with a CVC. While the reasons for this evidence-practice gap are unclear, health literacy and patient disease-specific knowledge may play an important role. Importantly, 25% of patients with CKD have limited health literacy. While there is an abundance of research regarding the presence of poor health literacy, poor kidney disease-specific knowledge, and their association with health outcomes in patients with CKD, there is currently a paucity of data about the relationship between health literacy, vascular access-specific knowledge, and vascular access outcomes. The aim of this narrative review is to describe the relationship between health literacy, disease-specific knowledge, and vascular access in patients with CKD. A better understanding of health literacy in this population will help inform the development of strategies to assess patient vascular access-specific knowledge and aid in vascular access decision making.

Top Ten Tips Palliative Care Clinicians Should Know Before Their Patient Undergoes Surgery.

Many seriously ill patients undergo surgical interventions. Palliative care clinicians may not be familiar with the nuances involved in perioperative care, however they can play a valuable role in enabling the delivery of patient-centered and goal-concordant perioperative care. The interval of time surrounding a surgical intervention is fraught with medical, psychosocial, and relational risks, many of which palliative care clinicians may be well-positioned to navigate. A perioperative palliative care consult may involve exploring gaps between clinician and patient expectations, facilitating continuity of symptom management or helping patients to designate a surrogate decision-maker before undergoing anesthesia. Palliative care clinicians may also be called upon to direct discussions around perioperative management of modified code status orders and to engage around the goal-concordance of proposed interventions. This article, written by a team of surgeons and anesthesiologists, many with subspecialty training in palliative medicine and/or ethics, offers ten tips to support palliative care clinicians and facilitate comprehensive discussion as they engage with patients and clinicians considering surgical interventions.

Association between type of index complication and outcomes after noncardiac surgery.

BACKGROUND: Failure to rescue, or the death of a patient after a surgical complication, largely occurs in patients who develop a cascade of postoperative complications. However, it is unclear whether there are specific types of index complications that are more strongly associated with failure to rescue, additional secondary complications, or other types of postoperative outcomes. This is a national cohort study of veterans who underwent noncardiac surgery at Veterans Affairs hospitals using data from the Veterans Affairs Surgical Quality Improvement Program (January 1, 2016 to September 30, 2021). Index complications were grouped into categories (cardiovascular, venous thromboembolism, pulmonary, bleeding/transfusion, renal, central nervous system, wound, sepsis, Clostridium difficile colitis, graft, or minor [defined as complications having an associated mortality rate <1%]). The association between type of index complication and failure to rescue, secondary complications, reoperation, and postoperative length of stay was evaluated with multivariable, hierarchical regression, and risk of death assessed with shared frailty modeling. RESULTS: Among 574,195 patients, 5.3% had at least 1 complication (of which 26.1% had secondary complications, and 8.2% had failure to rescue), and 4.5% had a reoperation. Secondary complication (5.0%-61.4%) and failure to rescue (0.8%-34.2%) rates varied by the type of index complication. Relative to index minor complications, index bleeding was most associated with secondary complication (subdistribution hazard ratio 1.4, 95% confidence interval [1.1-1.8]), index cardiac complications were most associated with failure to rescue (odds ratio 45.4 [34.5-59.7]), index graft complications were most associated with reoperation (odds ratio 96.0 [79.5-115.8]), and index pulmonary complications were associated with 2.6 times longer length of stay (incident rate ratio 2.6 [2.6-2.7]). Index cardiac and central nervous system complications were most strongly associated with risk of death (cardiac-hazard ratio 2.45, 95% confidence interval [2.14-2.81]; central nervous system-hazard ratio 1.84 [1.49-2.27]). CONCLUSION: Different types of index complications are associated with different outcome profiles. This suggests surgical quality improvement efforts should be tailored not only to the type of index complication to be addressed but also to the desired outcome to improve.

Factors associated with 90-day reintervention following lower extremity revascularization.

OBJECTIVE: Peripheral artery disease (PAD) represents a high-volume, high-cost burden on the health care system. The Centers for Medicare and Medicaid Services has developed the Bundled Payments for Care Improvement-Advanced program, in which a single payment is provided for all services administered in a postsurgical 90-day episode of care. Factors associated with 30- and 90-day reinterventions after PAD interventions would represent useful data for both payors and stake holders. METHODS: We conducted a national cohort study of adults 65 years and older in the Vascular Quality Initiative and Centers for Medicare and Medicaid Services-linked dataset who underwent an open, endovascular, or hybrid revascularization procedure for PAD between January 1, 2010, and December 31, 2018. Procedures for acute limb ischemia and aneurysms were excluded. The primary outcome was 90-day reintervention. Reintervention at 30 days was a secondary outcome. Covariates of interest included demographics, comorbidities, and patient- and facility-level characteristics. Multivariable Cox regression was used to determine the association between patient- and facility-level characteristics and the risk of 30- and 90-day reinterventions. RESULTS: Among 42,429 patients (71.3% endovascular, 23.3% open, and 5.4% hybrid), median age was 74 years (interquartile range, 69-80 years), 57.9% were male, and 84.3% were White. Chronic limb-threatening ischemia was the operative indication in 40.4% of the procedures. Overall, 42.8% were completed in the outpatient setting (40.3% outpatient, 2.5% office-based lab). Over 70% of procedures for chronic limb-threatening ischemia were completed as inpatient, whereas 60% of the claudication interventions were done as outpatient. The 90-day reintervention rate was 14.5%, and the 30-day reintervention rate was 5.5%. Compared with inpatient procedures, PAD interventions completed in the outpatient or office-based lab setting had significantly higher 90- and 30-day reintervention rates (reference, inpatient; outpatient 90-day reintervention: hazard ratio [HR], 1.41; 95% confidence interval [CI] 1.25-1.60; outpatient 30-day reintervention: HR, 1.90; 95% CI, 1.62-2.24; office-based lab 90-day reintervention: HR, 2.09; 95% CI, 1.82-2.41; office-based lab 30-day reintervention: HR, 3.54; 95% CI, 3.17-3.94). Open and hybrid approaches demonstrated lower risk of reintervention compared with endovascular procedures at 30 and 90 days and, compared with aortoiliac disease, all other anatomic segments of disease were associated with higher 90-day reintervention, but no difference was noted at 30 days. CONCLUSIONS: Although outpatient PAD interventions may be convenient for patients and providers, the outpatient setting is associated with a significant risk of subsequent reintervention. Additional work is needed to understand how to improve the longevity of outpatient PAD interventions.

Palliative Care Utilization and Hospital Transfers in Veterans Treated in Telecritical Care-Supported Intensive Care Units Versus Non-Telecritical Care Intensive Care Units.

Background: Although telecritical care (TCC) implementation is associated with reduced mortality and interhospital transfer rates, its impact on goal-concordant care delivery in critical illness is unknown. We hypothesized that implementation of TCC across the Veterans' Health Administration system resulted in increased palliative care consultation and goals of care evaluation, yielding reduced transfer rates. Methods: We included veterans admitted to intensive care units between 2008 and 2022. We compared palliative care consultation and transfer rates before and after TCC implementation with rates in facilities that never implemented TCC. We used generalized linear mixed multivariable models to assess the associations between TCC initiation, palliative care consultation, and transfer and subsequently used mediation analysis to evaluate potential causality in this relationship. Results: Overall, 1,020,901 veterans met inclusion criteria. Demographic characteristics of patients were largely comparable across groups, although TCC facilities served more rural veterans. Palliative care consultation rates increased substantially in both ever-TCC and never-TCC hospitals during the study period (2.3%-4.3%, and 1.6%-4.7%, p < 0.01). Admissions post-TCC implementation were associated with an increased likelihood of palliative care consultation (odds ratio [OR] 1.08, 95% confidence interval [CI] 1.01-1.15). TCC implementation was also associated with a reduction in transfer rates (OR 0.90, 95% CI 0.84-0.95). Mediation analysis did not demonstrate a causal relationship between TCC implementation, palliative care consultation, and reductions in interhospital transfer rate. Conclusions: TCC is associated with increased palliative care engagement, while TCC and palliative care engagement are both independently related to reduced transfers.

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.

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.

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.

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.

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.

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.

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.