The Department of Veterans Affairs' NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program

Area Deprivation, Fragmented Care, and Colectomy Case Acuity in the Veterans Health Administration

BACKGROUND

Colectomy for benign or malignant disease may be elective, urgent, or emergent. Data suggest successively worse outcomes for nonelective colectomy. Limited data exist regarding the contribution of high area deprivation index and care fragmentation to nonelective colectomy.

OBJECTIVE

Determine the association between area deprivation and nonelective colectomy in the Veterans Health Administration and assess whether accounting for differences in care fragmentation alters the association across indications and for benign and malignant conditions separately.

DESIGN

Retrospective cohort with multivariable multinomial logit models to evaluate associations between high-deprivation care fragmentation and the adjusted odds of nonelective colectomy. We calculated total, direct, and indirect effects to assess whether the association varied by levels of care fragmentation.

SETTING

Veterans receiving care in the private sector and Veterans Health Administration.

PATIENTS

Veterans aged 65 years or older undergoing colectomy between 2013 and 2019 were included.

MAIN OUTCOME MEASURES

Colectomy case acuity.

RESULTS

We identified 6538 colectomy patients, of whom 3006 (46.0%) were identified for malignancy. The odds of emergent colectomy were higher for patients in high-deprivation areas when the indication was for benign pathology (adjusted OR 1.51; 95% CI, 1.15-2.00). For malignant indications, there was no association between high deprivation and nonelective colectomy. More fragmented care was associated with higher odds of urgent and emergent colectomy for both benign and malignant indications, but the association between deprivation and nonelective colectomy did not vary by care fragmentation.

LIMITATIONS

Inherent to large administrative retrospective databases.

CONCLUSIONS

Veterans living in high-deprivation areas are at higher risk for emergent colectomy for benign conditions. Care fragmentation is also associated with a higher risk of emergent colectomy across indications. Efforts to reduce care fragmentation and promote early detection of IBD and diverticular disease in high-deprivation neighborhoods may lower the risk for nonelective colectomy in veterans. See Video Abstract .

PRIVACIN DE REA, ATENCIN FRAGMENTADA Y AGUDEZA DE LOS CASOS DE COLECTOMA EN LA ADMINISTRACIN DE SALUD PARA VETERANOS

ANTECEDENTES:La colectomía por enfermedad benigna o maligna puede ser electiva, urgente o de emergencia. Los datos sugieren resultados cada vez peores para la colectomía no electiva. Existen pocos datos sobre la contribución del alto índice de privación de área y la fragmentación de la atención a la colectomía no electiva.OBJETIVO:Determinar la asociación entre la privación de área y la colectomía no electiva en la Administración de Salud de Veteranos (VHA) y evaluar si tener en cuenta las diferencias en la fragmentación de la atención altera la asociación entre las indicaciones y para las condiciones benignas y malignas por separado.DISEÑO:Cohorte retrospectiva con modelos logit multinomiales multivariables para evaluar las asociaciones entre la alta fragmentación de la atención por privación y las probabilidades ajustadas de colectomía no electiva. Calculamos los efectos totales, directos e indirectos para evaluar si la asociación variaba según los niveles de fragmentación de la atención.ESCENARIO:Veteranos que reciben atención en el sector privado y la VHA.PACIENTES:Veteranos ≥ 65 años sometidos a colectomía entre 2013 y 2019.

RESULTADO PRINCIPAL/MEDIDAS

Gravedad de los casos de colectomíaRESULTADOS:Identificamos 6538 pacientes de colectomía, de los cuales 3006 (46,0%) fueron por neoplasia maligna. Las probabilidades de colectomía de emergencia fueron mayores para los pacientes en áreas de alta privación cuando la indicación fue por patología benigna (aOR 1,51 IC del 95% 1,15, 2,00). Para las indicaciones malignas, no hubo asociación entre la alta privación y la colectomía no electiva. La atención más fragmentada se asoció con mayores probabilidades de colectomía urgente y de emergencia tanto para indicaciones benignas como malignas, pero la asociación entre la privación y la colectomía no electiva no varió según la fragmentación de la atención.LIMITACIONES:Inherentes a las grandes bases de datos administrativas retrospectivas.CONCLUSIONES:Los veteranos que viven en zonas de alta pobreza tienen un mayor riesgo de colectomía de urgencia por afecciones benignas. La fragmentación de la atención también se asocia con un mayor riesgo de colectomía de urgencia en todas las indicaciones. Los esfuerzos para reducir la fragmentación de la atención y promover la detección temprana de la enfermedad inflamatoria intestinal y la enfermedad diverticular en barrios de alta pobreza pueden reducir el riesgo de colectomía no electiva en los veteranos. (Traducción-Dr Yolanda Colorado ).

Developing a Standardized Process to Visualize, Analyze, and Communicate NSQIP Data Using an Advanced Visual Data Analytics Tool

BACKGROUND

To help surgeons improve quality, the American College of Surgeons National Quality Improvement Program (ACS NSQIP) Semiannual Reports and Interim Semiannual Reports provide high-level views of 30-day morbidity and mortality rates. Surgeons at one hospital requested the ability to visualize data with interactive navigation and analysis of comorbidities monthly. Using advanced visual data analytics, the authors constructed a surgical scorecard to provide the desired feedback.

METHODS

The authors undertook a proof-of-concept project tracking surgical site infections (SSIs) and associated medical comorbidities. An anonymized training dataset of 3,438 patients was sampled between January 1, 2021, and October 31, 2022, from the hospital's NSQIP data. For proof-of-concept interface/system testing and to maintain data privacy, a synthetic 5,000-patient NSQIP database was generated using the Synthetic Data Vault, Python 3.7. Comorbidity variables were: diabetes mellitus, HgbA1c, immunosuppressive therapy, hypertension requiring medication, body mass index, and smoking within one year. The primary outcome was SSI. The research team generated scorecards for SSIs as a function of time, surgical department, and medical comorbidity. Odds ratios with confidence intervals and chi-square tests were used to analyze the relationships between SSI and comorbidities.

RESULTS

Advanced visual data analytics improved the timeliness of NSQIP Semiannual Reports and Interim Semiannual Reports from 6 months to 45 days. The scorecard allowed for visualization of data trends as a function of time, specialty, and procedural group. Statistical testing allowed for the identification of surgeons who were statistical outliers with regard to SSIs.

CONCLUSION

Implementation of an on-demand scorecard for data visualization and analysis allowed for up-to-date analysis of the relationship between medical comorbidities and SSI and identification of performance outliers.

Multiple domain resilience components and frailty, postoperative complications, and one year quality of life deterioration after pancreatectomy in older patients

The number of older adults is growing rapidly worldwide, and many surgical diseases are prevalent in this population. Resilience, the ability to adapt positively to adversity, remains a multisystemic process with no standardized objective measurement methods. The aim of this study was to identify the association between resilience components and frailty, postoperative complications, and quality of life changes after pancreatectomy in older patients. This study evaluated older patients (aged ≥ 65) scheduled for pancreatectomy between August 2020 and December 2023. Patients who underwent a Comprehensive Geriatric Assessment and signed informed consent were included. Frailty was determined by multidimensional frailty score more than 5. Neurohumoral resilience was measured using the ACTH stimulation test, cardiovascular autonomic function using orthostatic blood pressure measurement, and cognitive-motor function using dual-task gait tests. The primary outcome was postoperative complications, and the secondary outcome was the deterioration in quality of life one year after pancreatectomy. A total of 57 patients were included in the analysis. Among them, 17 (29.8%) were classified as frail, 10 patients (17.5%) experienced postoperative complications, and 12 patients (24.5%) had worsened quality of life after one year. Low blood pressure and slow usual gait speed was associated with frailty. Diminished cortisol responsiveness correlated with frailty and postoperative complications. Quality of life deterioration was associated with differences between dual-task (serial 7) gait speed and fast gait speed. This study highlights the potential association between multidomain resilience components, frailty, and clinical outcomes in older patients undergoing pancreatectomy. Future research should focus on developing robust, objective, and reliable resilience metrics for clinical use.

Morbid Obesity and Diabetes Increase the Risk of Reoperation following Microvascular Decompression: A National Surgical Quality Improvement Program Analysis of 1,303 Patients

Background  Microvascular decompression (MVD) is the preferred treatment for refractory trigeminal neuralgia (TN) and hemifacial spasm (HFS). MVD provides long-lasting results for these conditions with a relatively low risk of postoperative complications. However, reoperation rates are reported up to 11%, an unacceptably high rate for an elective procedure. We determined what factors may increase the risk of reoperation among patients undergoing MVD for TN or HFS. Methods  Patient data from 2015 to 2020 were obtained from the American College of Surgeons-National Surgical Quality Improvement Program database and were included in this study if they had a procedure corresponding to an MVD with the current procedural terminology code 61458. Patient demographics, comorbidities, and outcomes were analyzed. Patients were subsequently categorized based on body mass index (BMI) and a logistic regression analysis was used to model the association of comorbidities with reoperation and its indication. Results  The overall rate of reoperation in the cohort is 3.2 and 7.2% for patients with morbid obesity (BMI ≥ 40; p  = 0.006). Patients with morbid obesity were more likely to present at a younger age (50.1 vs. 57.4; p  < 0.0001), have comorbidities such as hypertension (60.9 vs. 33.5%; p  < 0.0001) and diabetes (16.3 vs. 7.7%; p  = 0.0002), and increased procedure duration (179 vs. 164 minutes; p  = 0.02). Indications for reoperation include cerebrospinal fluid (CSF) leak (31%), wound complications (19%), refractory pain (11.9), intracranial hemorrhage (4.8%), and other/unknown (33.3%). Patients with either morbid obesity or diabetes have a 2-fold increase in risk of reoperation, while having both is associated with a 5-fold risk of reoperation. Conclusion  We demonstrate morbid obesity leads to increased procedure duration and increased risk of reoperation due to wound complications and CSF leak. In these patients, alternative treatment strategies or preoperative optimization may be reasonable to reduce the risk of surgical complications and reoperation.

Combined influence of cardiovascular disease and chronic kidney disease on long-term mortality following major operations

INTRODUCTION

The objective was to characterize the interactive effects of cardiovascular disease (CVD) and chronic kidney disease (CKD) on long-term mortality following major operations.

METHODS

We performed a national, retrospective cohort study of patients undergoing high-risk operations from 1991 through 2018 using the VA Corporate Data Warehouse and Surgical Quality Improvement Program. Preoperative exposures included CVD (history of angina, CHF, MI, stroke, peripheral arterial disease, and related procedures) and CKD Stages III-V. The primary outcome was long-term mortality.

RESULTS

514,057 operations were included. After adjustment, the interaction between CVD and CKD Stage III (HR 1.38, 95% CI: 1.35-1.42), Stage IV (HR 1.91, 95% CI: 1.83-2.01), and Stage V (HR 2.70, 95% CI: 2.59-2.81) progressively conferred increasing risk of mortality.

CONCLUSIONS

In the setting of major operations, it is more accurate to interpret CVD and CKD in context of one another while accounting for the degree of baseline renal dysfunction.

Prediction of 5-Year Survival Rate After Hip Fracture Surgery Using a Comprehensive Geriatric Assessment-Based Frailty Score Model

BACKGROUND

Hip fractures (HFs) are major osteoporotic injuries associated with morbidity, loss of independence, increased mortality, and an increased socioeconomic burden. The total number of HFs is increasing owing to an aging population. While studies have focused on 30-day or 1-year mortality after HF surgery, studies reporting long-term mortality are lacking. Our study bridges this knowledge gap by exploring the relationship between frailty, postoperative complications, and the 5-year mortality after HF surgery. This study aimed to identify the risk factors associated with 5-year mortality after HF surgery. The impact of the Hip-Multidimensional Frailty Score (Hip-MFS) and postoperative complications on 5-year mortality was compared.

METHODS

This retrospective study included 536 individuals aged 65 years and older with HFs who underwent surgery between 2009 and 2014. The Hip-MFS was calculated using the comprehensive geriatric assessment. Patients whose Hip-MFS score above 8 considered as frail. Postoperative complications included pneumonia, urinary tract infection, delirium, pulmonary thromboembolism, and unplanned intensive care unit admission after surgery. The primary outcome was 5-year mortality. Univariate and multivariate cox-regression, Kaplan-Meier analysis and log-rank tests were used to assess predictive value of frailty and postoperative complications on 5-year mortality.

RESULTS

The mean age was 80.5 ± 7.0 years and 71.3% (n = 382) were women. Overall, 48.3% (n = 259) were diagnosed with femoral neck fractures, and 51.7% (n = 277) were diagnosed with intertrochanteric fractures. A total of 223 (41.6%) patients experienced postoperative complications. The overall mortality rate was 60.4% (n = 324), with 1-year and 5-year mortality rates after HF surgery being 13.8% (n = 74) and 43.8% (n = 235), respectively. In the multivariate regression analysis, after adjusting for clinical and demographic factors, the high-risk Hip-MFS group and the group with postoperative complications had hazard ratios for 5-year survival of 1.513 (95% confidence interval [CI], 1.105-2.017; P = 0.010) and 1.470 (95% CI, 1.117-1.936; P = 0.006), respectively. Patients who had postoperative complications with a low Hip-MFS showed better 5-year survival than those without postoperative complications with a high Hip-MFS in the Kaplan-Meier curve (P = 0.013).

CONCLUSION

A high Hip-MFS risk and postoperative complications were associated with an increased 5-year mortality rate. In comparison to the occurrence of postoperative complications, the frailty status evaluated using the Hip-MFS had a more significant impact on long-term mortality after HF surgery.

Risk Adjusted Continuous Monitoring of Postoperative Mortality After Cardiac Surgery

OBJECTIVE

To compare continuous monitoring with a risk-adjusted cumulative sum (CUSUM) to standard episodic risk-adjusted evaluation for the detection of hospitals with higher-than-expected postoperative mortality after cardiac surgery.

STUDY SETTING AND DESIGN

In this national, observational, hospital-level study, the number of hospitals identified with higher-than-expected quarterly, risk-adjusted 30-day mortality and time to identification were compared using standard episodic evaluation (i.e., observed-to-expected [O-E] ratios) and the risk-adjusted CUSUM.

DATA SOURCES AND ANALYTIC SAMPLE

VA Surgical Quality Improvement Program (VASQIP) data (2016-2020) for patients 18 years and older who underwent a cardiac operation at a Veterans Affairs (VA) hospital.

PRINCIPAL FINDINGS

The cohort included 20,927 patients treated at 41 hospitals across 20 quarters of data. Overall, 1.8% of hospital quarters were identified using O-E compared to 3.8% with CUSUM. Hospitals concurrently identified using both CUSUM and O-E were identified a median of 17 days earlier with CUSUM (interquartile range [IQR] 7-51 days before quarter end). This translated to a median of 12 (IQR 8-37) surgical cases and 71 (IQR 34-331) postoperative inpatient days occurring after a CUSUM signal but before the quarter ended. At hospitals identified by CUSUM but not O-E, a median of 2 deaths (IQR 2-2) during a median of 22 days (IQR 12-38) triggered detection.

CONCLUSIONS

CUSUM identifies hospitals with higher-than-expected mortality rates earlier than episodic analysis. Considering the time lag between data collection and report generation by national quality improvement (QI) programs, CUSUM represents a potentially useful tool that could facilitate more real-time recognition of performance concerns and encourage earlier implementation of interventions that can help avoid potentially preventable patient harm. Balancing sensitivity with the risk of false signaling will be essential for ensuring its effective application in national QI efforts.

The Surgical Pause: The Importance of Measuring Frailty and Taking Action to Address Identified Frailty

CONCEPTUAL FRAMEWORK

The Surgical Pause is a rapid, scalable strategy for health care systems to optimize perioperative outcomes for high-risk, frail patients considering elective surgery. The first and most important step is to screen for frailty, thereby identifying the 5% to 10% of patients at most risk for postoperative complications, loss of independence, institutionalization, and mortality. The second step is to take action to improve outcomes. Action may include clarifying perioperative goals, optimizing perioperative decision-making, and mitigating frailty-associated risks through prehabilitation.

HISTORY OF DISSEMINATION

Initially implemented at the Omaha Veterans Affairs (VA) Medical Center in 2012, the Surgical Pause was associated with a nearly three-fold survival advantage among the frail. The program was subsequently replicated at more than 50 VA and private sector hospitals with similarly robust results, leading the Veterans Health Administration (VHA) National Surgery Office to formally adopt the program in January 2024. The Joint Commission and the National Quality Forum recognized the program with the Eisenberg Award for Patient Safety and Quality at the National Level.

LESSONS LEARNED

Successful dissemination grew from simultaneous real-world quality projects paralleled by rigorous, high-quality, peer reviewed publications demonstrating the need for and impact of the Surgical Pause. Adoption was facilitated in an iterative process to streamline feasibility and leverage existing resources. Success was accelerated by national infrastructure catalyzing a community of practice.

CONCLUSION

The Surgical Pause is changing surgical culture by proactively identifying frail patients, aligning treatment plans with patient-defined goals, optimizing perioperative decisions, and mitigating frailty-associated risks to deliver both quality and value.

Clinical context and communication in shared decision-making about major surgery: Findings from a qualitative study with colorectal, orthopaedic and cardiac patients

Increasing numbers of older people undergo major surgery in the United Kingdom (UK), with many at high risk of complications due to age, co-morbidities or frailty. This article reports on a study of such patients and their clinicians engaged in shared decision-making. Shared decision-making is a collaborative approach that seeks to value and centre patients' preferences, potentially addressing asymmetries of knowledge and power between clinicians and patients by countering medical authority with greater patient empowerment. We studied shared decision-making practices in the context of major surgery by recruiting 16 patients contemplating either colorectal, cardiac or joint replacement surgery in the UK National Health Service (NHS). Over 18 months 2019-2020, we observed and video-recorded decision-making consultations, studied the organisational and clinical context for consultations, and interviewed patients and clinicians about their experiences of making decisions. Linguistic ethnography, the study of communication and interaction in context, guided us to analyse the interplay between interactions (during consultations between clinicians, patients and family members) and clinical and organisational features of the contexts for those interactions. We found that the framing of consultations as being about life-saving or life-enhancing procedures was important in producing three different genres of consultations focused variously on: resolving problems, deliberation of options and evaluation of benefits of surgery. We conclude that medical authority persists, but can be used to create more deliberative opportunities for decision-making through amending the context for consultations in addition to adopting appropriate communication practices during surgical consultations.

Automating excellence: A breakthrough in emergency general surgery quality benchmarking

BACKGROUND

Given the high mortality and morbidity of emergency general surgery (EGS), designing and implementing effective quality assessment tools is imperative. Currently accepted EGS risk scores are limited by the need for manual extraction, which is time-intensive and costly. We developed an automated institutional electronic health record (EHR)-linked EGS registry that calculates a modified Emergency Surgery Score (mESS) and a modified Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) score and demonstrated their use in benchmarking outcomes.

METHODS

The EHR-linked EGS registry was queried for patients undergoing emergent laparotomies from 2018 to 2023. Data captured included demographics, admission and discharge data, diagnoses, procedures, vitals, and laboratories. The mESS and modified POTTER (mPOTTER) were calculated based off previously defined variables, with estimation of subjective variables using diagnosis codes and other abstracted treatment variables. This was validated against ESS and the POTTER risk calculators by chart review. Observed versus expected (O:E) 30-day mortality and complication ratios were generated.

RESULTS

The EGS registry captured 177 emergent laparotomies. There were 32 deaths (18%) and 79 complications (45%) within 30 days of surgery. For mortality, the mean difference between the mESS and ESS risk predictions for mortality was 3% (SD, 10%) with 86% of mESS predictions within 10% of ESS. The mean difference between the mPOTTER and POTTER was -2% (SD, 11%) with 76% of mPOTTER predictions within 10% of POTTER. Observed versus expected ratios by mESS and ESS were 1.45 and 1.86, respectively, and for mPOTTER and POTTER, they were 1.45 and 1.30, respectively. There was similarly good agreement between automated and manual risk scores in predicting complications.

CONCLUSION

Our study highlights the effective implementation of an institutional EHR-linked EGS registry equipped to generate automated quality metrics. This demonstrates potential in enhancing the standardization and assessment of EGS care while mitigating the need for extensive human resources investment.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic Study; Level IV.

Perioperative risk scores: prediction, pitfalls, and progress

PURPOSE OF REVIEW

Perioperative risk scores aim to risk-stratify patients to guide their evaluation and management. Several scores are established in clinical practice, but often do not generalize well to new data and require ongoing updates to improve their reliability. Recent advances in machine learning have the potential to handle multidimensional data and associated interactions, however their clinical utility has yet to be consistently demonstrated. In this review, we introduce key model performance metrics, highlight pitfalls in model development, and examine current perioperative risk scores, their limitations, and future directions in risk modelling.

RECENT FINDINGS

Newer perioperative risk scores developed in larger cohorts appear to outperform older tools. Recent updates have further improved their performance. Machine learning techniques show promise in leveraging multidimensional data, but integrating these complex tools into clinical practice requires further validation, and a focus on implementation principles to ensure these tools are trusted and usable.

SUMMARY

All perioperative risk scores have some limitations, highlighting the need for robust model development and validation. Advancements in machine learning present promising opportunities to enhance this field, particularly through the integration of diverse data sources that may improve predictive performance. Future work should focus on improving model interpretability and incorporating continuous learning mechanisms to increase their clinical utility.

Urology Resident Autonomy in the Veterans Affairs Healthcare System

PURPOSE

Surgical resident autonomy in procedures has been eroding over time, due to multiple factors that include duty hour restrictions, focus on operating time, complication rate, and trust among supervising physicians. This study examines whether urology residents at the Veterans Affairs hospitals (VA) have experienced decreased surgical autonomy and contributing factors.

METHODS

The national VA Surgical Quality Improvement Program (VASQIP) was queried for the most common urologic procedures between 2004 to 2019 with resident involvement. The most frequent surgeries were transurethral resection of prostate (TURP); transurethral resection of small, medium, or large tumor (TURBT); photo vaporization of prostate, scrotal surgery, and ureteral stent placement. The cases were stratified by resident involvement: attending as primary (AP), attending and resident (AR), resident as primary (RP).

RESULTS

93,756 urology cases were selected from 2004 to 2019. The above procedures accounted for 76.5% of all urologic cases. The percentage of RP cases decreased from 44.4% of cases in 2004 to 25.1% in 2019. Reduction in RP cases was seen in all of the 7 examined urology cases. Cases with resident involvement had patients with more medical comorbidities. Mean operative times were not significantly different. The 30-day composite complications and 30-day return to operating room were greatest for AR. Postoperative morbidity and all-cause mortality were not significantly different.

CONCLUSIONS

Urology resident autonomy has decreased within the VA healthcare system over the past 15 years. Mean operative times and postoperative complications are not significantly different in cases with residents as primary surgeon.

Improving colonoscopy quality in the national VA healthcare system

BACKGROUND

Colorectal cancer (CRC) prevention is a Veterans Affairs (VA) priority. Colonoscopy quality, especially adenoma detection rate (ADR), is critical for effective screening. Our research indicates considerable variation in ADR among VA providers. Even a slight increase in ADR can reduce fatal CRC rates, and audit and feedback strategies have improved ADR in other settings. A recent report identified deficiencies in VA colonoscopy quality, highlighting the need for standardized documentation and reporting. To address this, we developed the VA Endoscopy Quality Improvement Program (VA-EQuIP), which aims to improve colonoscopy quality through benchmarking and collaborative learning, aligning with VA's modernization priorities and HSR&D and QUERI goals of accelerating evidence-based implementation.

METHODS

We will conduct a stepped wedge cluster randomized trial to evaluate whether VA-EQuIP improves provider ADR compared to usual care, the implementation of VA-EQuIP, site-level factors associated with colonoscopy quality improvement, and components of provider behavior change. Using mixed methods our study will measure outcomes like reach, implementation, adoption, maintenance of VA-EQuIP, and provider behavior change. The analysis will include primary and secondary outcomes, such as overall and screening ADR, cecal intubation rate, and bowel preparation quality, using mixed effects generalized linear models and interrupted time-series analyses. Adoption and implementation will be evaluated through usage statistics, surveys, and qualitative interviews to identify factors influencing success.

DISCUSSION

This study will assess the impact of VA-EQuIP on colonoscopy quality metrics and factors associated with effective implementation. VA-EQuIP infrastructure allows for national-scale implementation and evaluation of quality reporting with minimal manual labor, guiding future quality improvement efforts to ensure optimal patient care.

Robotic compared with laparoscopic cholecystectomy: A National Surgical Quality Improvement Program comparative analysis

BACKGROUND

Data demonstrating the clinical benefit of robotic cholecystectomy over the laparoscopic approach are lacking. Herein, we aim to evaluate whether robotic cholecystectomy is associated with improved surgical outcomes compared with laparoscopic cholecystectomy.

STUDY DESIGN

This is a retrospective cohort study that used the American College of Surgeons National Surgical Quality Improvement Program to compare the outcomes of patients who underwent robotic or laparoscopic cholecystectomy for benign indications in 2022.

RESULTS

Of the 59,216 patients identified, 53,746 underwent laparoscopic cholecystectomy and 5,470 robotic. Compared with the robotic cohort, the patients in the laparoscopic cholecystectomy group were older (50.4 vs 49.7 years), were of the male sex (32.7% vs 29.7%), and comprised a greater percentage of other races than White, African American, and Asian (28.6% vs 14.8%). Multivariable logistic regression revealed that robotic cholecystectomy compared with the laparoscopic approach was independently associated with a lower risk of Clavien-Dindo complications grade 3 or 4 (odds ratio, 0.82; 95% confidence interval, 0.69-0.98), a lower rate of conversion to open (odds ratio, 0.44; 95% confidence interval, 0.32-0.61), and lower odds of requiring hospitalization ≥24 hours (odds ratio, 0.76; 95% confidence interval, 0.71-0.81). There were no significant differences between the 2 approaches in terms of reoperation (odds ratio, 0.69; 95% confidence interval, 0.47-1.00) and readmission (odds ratio, 0.94; 95% confidence interval, 0.82-1.10).

CONCLUSION

Robotic cholecystectomy was independently associated with a lower risk of serious complications, lower rate conversion to open, and hospitalization ≥24 hours compared with laparoscopic cholecystectomy. These findings suggest that new technologies might enhance the safety of minimally invasive surgery.

Evaluation of PCORnet as an Approach to Accessing Electronic Health Record (EHR) Data for Cleft Outcomes Research: Advantages and Limitations

Objective: To evaluate the feasibility of using the National Patient-Centered Clinical Research Network (PCORnet®) as a source of electronic health record (EHR) data for cleft outcomes research. Design: Exploratory retrospective analysis of multi-year, administrative and clinical, structured data stored in PCORnet. Setting: Academic institution with an ACPA-approved cleft and craniofacial team. Patients/Participants: Encounter-level data pertaining to patients with orofacial clefts treated at this center between 2010 and 2018. Outcome Measures: (1) Ability of PCORnet to report metrics such as the following: number of new and returning patients per year; demographics; phenotype; procedures; readmission or reoperation within 30 days; etc. (2) Accuracy of selected metrics, compared with manual chart review. Results: PCORnet is useful for the calculation of simple process metrics such as patient demographics, phenotype mix, case mix, and number of readmissions. However, as it lacks access to clinical notes, PCORnet alone cannot provide more detailed information. Phenotypic classification (based on ICD codes) and procedural description (based on CPT®) are subject to inaccuracy. A 1-2 year delay in data upload to PCORnet may be rate-limiting for certain applications. Multi-institutional queries were feasible. Conclusions: PCORnet does not include all necessary data elements from the EHR. While very convenient for the tabulation of simple process metrics, especially from multiple institutions, supplemental data collection will be required for meaningful cleft outcomes research. Cleft teams whose institutions participate in PCORnet might choose to store the supplemental data as "sidecars" alongside the standard PCORnet database tables, which would allow for future PCORnet queries to be more informative and impactful.

Prevention and Management of Posterior Wound Complications Following Oncologic Spine Surgery: Narrative Review of Available Evidence and Proposed Clinical Decision-Making Algorithm

STUDY DESIGN

Narrative Review.

OBJECTIVE

Contextualized by a narrative review of recent literature, we propose a wound complication prevention and management algorithm for spinal oncology patients. We highlight available strategies and motivate future research to identify optimal and individualized wound management for this population.

METHODS

We conducted a search of recent studies (2010-2022) using relevant keywords to identify primary literature in support of current strategies for wound complication prevention and management following spine tumor surgery. When primary literature specific to spine tumor cases was not available, data were extrapolated from studies of other spine surgery populations. Results were compiled into a proposed clinical algorithm to guide practice considering available evidence.

RESULTS

Based on available literature, we recommend individualized stratification of patients according to identifiable risk factors for wound complication and propose several interventions which might be employed preventatively, including intrawound antibiotic administration, negative pressure wound therapy, and primary flap closure of the surgical wound. Of these, the available evidence, weighing possible risks vs benefits, most strongly favors primary flap closure of surgical wounds, particularly for patients with multiple risk factors. A secondary algorithm to guide management of wound complications is also proposed.

CONCLUSIONS

Wound complications such as SSI and dehiscence remain a significant source of morbidity following spine tumor surgery. Triaging patients on an individualized basis according to risk factors for complication may aid in selecting appropriate prophylactic strategies to prevent these complications. Future research in this area is still needed to strengthen recommendations.

Long-Term Trajectories of Postoperative Recovery in Younger and Older Veterans

Importance

Major surgery sometimes involves long recovery or even permanent institutionalization. Little is known about long-term trajectories of postoperative recovery, as surgical registries are limited to 30-day outcomes and care can occur across various institutions.

Objective

To characterize long-term postoperative recovery trajectories.

Design, Setting, and Participants

This retrospective cohort study used Veterans Affairs (VA) Surgical Quality Improvement Program data (2016 through 2019) linked to the Residential History File, combining data from the VA, Medicare/Medicaid, and other sources to capture most health care utilization by days. Patients were divided into younger (younger than 65 years) or older (65 years or older) subgroups, as Medicare eligibility is age dependent. Latent-class, group-based trajectory models were developed for each group. These data were analyzed from February 2023 through August 2024.

Exposure

Surgical care in VA hospitals.

Main Outcomes and Measures

Days elsewhere than home (DEH) were counted in 30-day periods for 275 days presurgery and 365 days postsurgery.

Results

A 5-trajectory solution was optimal and visually similar for both age groups (cases: 179 879 younger [mean age (SD) 51.2 (10.8) years; most were male [154 542 (83.0%)] and 198 803 older [mean (SD) age, 72.2 (6.0) years; 187 996 were male (97.6%)]). Most cases were in trajectories 1 and 2 (T1 and T2). T1 cases returned home within 30 days (younger, 74.0%; older, 54.2%), while T2 described delayed recovery within 30 to 60 days (younger, 21.6%; older, 35.5%). Trajectory 3 (T3) and trajectory 4 (T4) were similar for the first 30 days postsurgery, but subsequently separated with T3 representing protracted recovery of 6 months or longer (younger, 2.7%; older, 3.8%) and T4 indicating long-term loss of independence (younger, 1.3%; older, 5.2%). Few (trajectory 5) were chronically dependent, with 20 to 30 DEH per month before and after surgery (younger, 0.4%; older, 1.3%).

Conclusions and Relevance

In this study, trajectory models demonstrated clinically meaningful differences in postoperative recovery that should inform surgical decision-making. Registries should include longer-term outcomes to enable future research to distinguish patients prone to long-term loss of independence vs protracted, but meaningful recovery.

Private-Sector Readmissions for Inpatient Surgery in Veterans Health Administration Hospitals

Importance

The Veterans Health Administration (VHA) reports multiple indicators of hospital surgical performance, including hospital risk-standardized 30-day readmission rates (RSRRs). Currently, most routinely reported measures do not include readmissions that occur outside VHA hospitals. The impact of readmissions outside the VHA on hospital RSRR is not known.

Objective

To measure the impact of including non-VHA readmissions on VHA hospital performance rankings for 30-day readmission.

Design, Setting, and Participants

This retrospective cohort study included patients aged at least 65 years from 2013 to 2019 from the Veterans Affairs Surgical Quality Improvement Program linked to patient-level data from the VHA and Medicare. Data were limited to patients with VHA and Medicare enrollment during the year prior to surgery. Data were analyzed from November 2023 through July 2024.

Main Outcomes and Measures

The main outcome was readmissions to acute care VHA or non-VHA hospitals within 30 days of discharge. VHA hospital-level RSRRs were estimated using separate generalized linear mixed-effects risk adjustment models that alternatively included VHA-only or VHA plus non-VHA readmissions. VHA hospitals were then stratified into quintiles based on RSRRs derived using VHA-only or VHA plus non-VHA readmissions. Changes in hospital performance quintiles with the addition of non-VHA readmissions were calculated, and characteristics of VHA hospitals most impacted by including non-VHA readmissions were evaluated.

Results

The eligible cohort included 108 265 patients (mean [SD] age, 72.2 [6.5] years; 105 661 [97.6%] male) who underwent surgery in 104 VHA hospitals. The combined readmission rate was 14.0%. The proportion of readmissions occurring outside the VHA ranged from 0% to 55.3% across the 104 VHA hospitals (median, 20.9%). Using VHA and non-VHA readmissions, 24 VHA hospitals (23.1%) improved performance and 23 hospitals (22.1%) worsened performance, defined as a decrease or increase, respectively, of 1 or more RSRR quintiles. Improvements in hospital performance rank were associated with larger surgical volume (-7.48; 95% CI, -11.33 to 03.64; P < .001), urban location, greater surgical complexity (-9.86; 95% CI, -16.61 to -3.11; P = .005), and lower proportion of readmissions outside the VHA (-8.15; 95% CI, -12.75 to -3.55; P < .001).

Conclusions and Relevance

In this cohort study, VHA hospitals whose readmission performance metric improved by including non-VHA readmissions had higher patient volume, higher complexity, and lower proportion of care outside the VHA. Thus, improving continuity of care may have a paradoxical effect of worsening VHA performance metrics.

Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes

OBJECTIVE

The Risk Analysis Index (RAI) score is a screening tool to assess patient frailty. It has been shown to be predictive of postoperative outcomes and mortality in orthopedic, urologic, and neurosurgical patient populations. We sought to evaluate the predictive ability of RAI score for surgical outcomes in an otolaryngology patient population.

STUDY DESIGN

Retrospective study.

SETTING

Academic tertiary medical center.

METHODS

A retrospective study was conducted of adult patients undergoing otolaryngology surgery at a tertiary medical care center over 21 months. Patients were sent electronic RAI survey questionnaires via direct messaging, which was completed prior to surgery. Endpoint data were analyzed, including demographics, RAI score, and patient outcome data. Univariate analysis, ROC curves, and predictive modeling were utilized.

RESULTS

A total of 517 patients responded to the RAI questionnaire, resulting in a 59.6% response rate. Mean RAI score was 21.38 ± 11.83. Higher RAI scores were associated with increased 30-day readmissions (P < .0015), postoperative complications (P < .001), hospital length of stay (P < .001), and discharge with home health (P < .001). Predictive models for RAI score and postoperative outcomes were created, and a cutoff score of RAI = 30 was established to identify frail patients.

CONCLUSION

We evaluated if RAI scoring predicted postoperative complications in an otolaryngology patient population. Increased RAI score is significantly associated with poorer surgical outcomes, including increased hospital length of stay, 30-day readmissions, and postoperative complications. We propose a predictive model with suggested RAI cutoff scoring for use in the otolaryngology surgical population.

New set of indicators with consensus definition for anaesthesia-related severe morbidity: A scoping review followed by a Delphi study

STUDY OBJECTIVE

Monitoring anaesthesia-related severe morbidity constitutes a good opportunity for assessing quality and safety of care in anaesthesia. Several recent studies attempted to describe and define indicators for anaesthesia-related severe morbidity with limitations: no formal experts' consensus process, overlap with surgical complications, no consensual definitions, inapplicability in clinical practice. The aim of this study was to provide a set of indicators for anaesthesia-related severe morbidity based on outcomes and using clinically useful consensual definitions.

DESIGN

1/ scoping review of studies published in 2010-2021 on outcomes of anaesthesia-related severe morbidity with different definitions; 2/ International experts' consensus on indicators for anaesthesia-related severe morbidity with specific definitions using a Delphi process.

MAIN RESULTS

After including 142 studies, 68 outcomes for anaesthesia-related severe morbidity were identified and organized in 34 indicators divided into 8 categories (cardiovascular, respiratory, sepsis, renal, neurological, medication error, digestive and others). The indicators were then submitted to the experts. After 2 Delphi rounds, the 26 indicators retained by the experts with their corresponding consensual definition were: acute heart failure, cardiogenic shock, acute respiratory distress syndrome, pulmonary embolism and thrombosis, bronchospasm or laryngospasm, pneumonia, inhalation pneumonitis, pneumothorax, difficult or impossible intubation, atelectasis, self-extubation or accidental extubation, sepsis or septic shock, transient ischemic attack, postoperative confusion or delirium, post-puncture headache, medication error, liver failure, unplanned intensive care unit admission, multiple-organ failure.

CONCLUSIONS

This study provides a new consensual set of indicators for anaesthesia-related severe morbidity with specific definitions, that could be easily applied in clinical practice as in research.

Non-Cardiac Perioperative Mortality Factors at a Single Urban Veterans Affairs Medical Center

Background: The Veterans affairs (VA) surgical quality improvement program was established to evaluate the quality of VA surgical care to over nine million United States Veterans. Patient demographics vary by region, with urban areas correlating with higher mortality rates. This study attempts to determine the factors associated with 30-day mortality at a single VA medical center in an urban setting. Methods: Patients included in the study were at least 18 years of age and underwent a surgical procedure between January 2013 and June 2023. Baseline demographics included preoperative comorbidities, American Society of Anesthesiology (ASA) class, and preoperative lab values. Clinical outcomes included postoperative mortality within 30 days of the procedure. Chi-square, t-test, ANOVA, and multivariate logistic regressions were used to determine relationships, using P < .05 to determine significance. Results: A total of 11,547 patients with complete data were included, of which 92 patients (0.8%) died within 30 days of surgery. A higher preoperative hematocrit was protective against 30-day mortality. A perioperative transfusion, bleeding disorder, chronic obstructive pulmonary disease (COPD), history of a myocardial infarction, higher ASA class, and an emergency procedure all increased the likelihood of perioperative mortality. Conclusions: Veterans who seek surgical care at Veterans Health Administration centers receive high quality care with a low mortality rate. Identifying risk factors for perioperative mortality provides the opportunity to stratify those veterans at highest risk.

Associations Between Short-Term Postoperative Outcomes and Immunocompromised Status in Patients Undergoing Sacrocolpopexy

INTRODUCTION AND HYPOTHESIS

Few data exist on the impact of immunosuppression on perioperative outcomes in women undergoing sacrocolpopexy. The objective of this study was to compare differences in 30-day perioperative morbidity in immunocompromised versus non-immunocompromised women undergoing sacrocolpopexy (SCP). We hypothesize that compared with the non-immunocompromised group, immunocompromised women undergoing SCP experience worse composite 30-day postoperative outcomes.

METHODS

Retrospective cohort of female patients aged 18 years or older who underwent sacrocolpopexy from 2012 to 2017. Current procedural terminology (CPT) codes 57280 and 57425 identified sacrocolpopexy in the American College of Surgeons-National Surgical Quality Improvement Project database. The primary exposure was a binary indicator of immunocompromised status, and the primary outcome was a composite indicator of readmission, reoperation, or a severe adverse event 30 days after surgery. Marginal standardization, a G-computation method, was used to estimate risk ratios (RR) and 95% confidence intervals (CI) representing the association between exposure and outcome.

RESULTS

A total of 13,505 women underwent SCP between 2012 and 2017. Of those, 2,625 (19.4%) had an indicator of immunocompromised status, with diabetes and smoking being most common. The risk of the composite adverse outcome in immunocompromised women was 7.3% versus 4.6% in non-immunocompromised women. After adjusting for age, race, ethnicity, and body mass index, immunocompromised women experienced 54% increased relative risk of an adverse outcome, compared with non-immunocompromised women (RR = 1.54; 95% CI: 1.31, 1.82).

CONCLUSIONS

Immunocompromised status, most commonly caused by diabetes and smoking, increases the risk of readmission, reoperation, and a severe adverse event within 30 days of sacrocolpopexy.

Failure to rescue following oesophagectomy in Australia: a multi-site retrospective study using American College of Surgeons National Surgical Quality Improvement Program

BACKGROUND

Failure to rescue (FTR), defined as death after a major complication, is increasingly being used as a surrogate for assessing quality of care following major cancer resection. The aim of this paper is to determine the failure to rescue (FTR) rate after oesophagectomy and explore factors that may contribute to FTR within Australia.

METHODS

A retrospective review of the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database from 2015 to 2023 at five Australian hospitals was conducted to identify patients who underwent an oesophagectomy. The primary outcome was FTR rate. Perioperative parameters were examined to evaluate predictive factors for FTR. Secondary outcomes include major complications, overall morbidity, mortality, length of stay and 30-day readmissions.

RESULTS

A total of 155 patients were included with a median age of 65.2 years, 74.8% being male. The FTR rate was 6.3%. In total, 50.3% of patients (n = 78) developed at least one postoperative complication with the most common complication being pneumonia (20.6%) followed by prolonged intubation (12.9%) and organ space SSI/anastomotic leak (11.0%). Multivariate logistic regression analysis was performed to determine any factors that were predictive for FTR however none reached statistical significance.

CONCLUSION

This study is the first to evaluate the FTR rates following oesophagectomy within Australia, with FTR rates and complication profile comparable to international benchmarks. Integration of multi-institutional national databases such as ACS NSQIP into units is essential to monitor and compare patient outcomes following major cancer surgery, especially in low to moderate volume centres.

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.

Intraoperative imaging and management of common duct stones during subtotal cholecystectomy

BACKGROUND

Subtotal cholecystectomy is advocated in patients with severe inflammation and distorted anatomy preventing safe removal of the entire gallbladder. Not well documented in this surgically complex population is the feasibility of intraoperative imaging and management of common bile duct (CBD) stones. We evaluated these operative maneuvers in our subtotal cholecystectomy patients.

METHODS

We retrospectively reviewed all cholecystectomy cases from 2014 to 2023 at a single Veterans Affairs (VA) Medical Center using VASQIP (VA Surgical Quality Improvement Program), selecting subtotal cholecystectomy cases for detailed analysis. We reviewed operative reports, imaging and laboratory studies, and clinical notes to understand biliary imaging, stone management, complications, and late outcomes including retained stones (within 6 months), and recurrent stones (beyond 6 months).

RESULTS

419 laparoscopic (n = 406) and open (n = 13) cholecystectomies were performed, including 40 subtotal cholecystectomies (36 laparoscopic, 4 laparoscopic converted to open). Among these 40 patients IOC was attempted in 35 and completed in 26, with successful stone management in 11 (9 common bile duct exploration [CBDE], 2 intraoperative endoscopic retrograde cholangiopancreatography [ERCP]). In follow-up, 3 additional patients had CBD stones managed by ERCP, including 1 with a negative IOC and 2 without IOC. Thus, 14 (35%) of 40 patients had CBD stones. Of note, IOC permitted identification and oversewing or closure of the cystic duct in 32 patients. There were no major bile duct injuries and one cystic duct stump leak (2.5%) that resolved spontaneously.

CONCLUSIONS

Subtotal cholecystectomy patients had a high incidence of bile duct stones, with most detected and managed intraoperatively with CBDE, making a strong argument for routine IOC and single-stage care. When intraoperative imaging is not possible, postoperative imaging should be considered. Routine imaging, biliary clearance, and cystic duct closure during subtotal cholecystectomy is feasible in most patients with low rates of retained stones and bile leaks.

Social Determinants of Health and Surgical Desirability of Outcome Ranking in Older Veterans

Importance

Evaluating how social determinants of health (SDOH) influence veteran outcomes is crucial, particularly for quality improvement.

Objective

To measure associations between SDOH, care fragmentation, and surgical outcomes using a Desirability of Outcome Ranking (DOOR).

Design, Setting, And Participants

This was a cohort study of US veterans using data from the Veterans Affairs (VA) Surgical Quality Improvement Program (VASQIP; 2013-2019) limited to patients aged 65 years or older with inpatient stays between 2 and 30 days, merged with multiple data sources, including Medicare. Race and ethnicity data were retrieved from VASQIP, Medicare and Medicaid beneficiary summary files, the Veterans Health Administration Corporate Data Warehouse, and the United States Veterans Eligibility Trends and Statistics file. Data were analyzed between September 2023 and February 2024.

Exposure

Living in a highly deprived neighborhood (Area Deprivation Index >85), race and ethnicity used as a social construct, rurality, and care fragmentation (percentage of non-VA care days).

Main Outcomes and Measures

DOOR is a composite, patient-centered ranking of 26 outcomes ranging from no complication (1, best) to 90-day mortality or near-death complications (6, worst). A series of proportional odds regressions was used to assess the impact of SDOH and care fragmentation adjusted for clinical risk factors, including presentation acuity (presenting with preoperative acute serious conditions and urgent or emergent surgical procedures).

Results

The cohort had 93 644 patients (mean [SD] age, 72.3 [6.2] years; 91 443 [97.6%] male; 74 624 [79.7%] White). Veterans who identified as Black (adjusted odds ratio [aOR], 1.06; 95% CI, 1.02-1.10; P = .048) vs White and veterans with higher care fragmentation (per 20% increase in VA care days relative to all care days: aOR, 1.01; 95% CI, 1.01-1.02; P < .001) were associated with worse (higher) DOOR scores until adjusting for presentation acuity. Living in rural geographic areas was associated with better DOOR scores than living in urban areas (aOR, 0.93; 95% CI, 0.91-0.96; P < .001), and rurality was associated with lower presentation acuity (preoperative acute serious conditions: aOR, 0.88; 95% CI, 0.81-0.95; P = .001). Presentation acuity was higher in veterans identifying as Black, living in deprived neighborhoods, and with increased care fragmentation.

Conclusions and Relevance

Veterans identifying as Black and veterans with greater proportions of non-VA care had worse surgical outcomes. VA programs should direct resources to reduce presentation acuity among Black veterans, incentivize veterans to receive care within the VA where possible, and better coordinate veterans' treatment and records between care sources.

The association between participation in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and postoperative outcomes: A comprehensive analysis of 7,474,298 patients

INTRODUCTION

Prior publications about the association between participation in the American College of Surgeons National Surgical Quality Improvement Program and improved postoperative outcomes have reported mixed results. We aimed to perform a comprehensive analysis of preoperative characteristics and unadjusted and risk-adjusted postoperative complication rates over time in the American College of Surgeons National Surgical Quality Improvement Program dataset.

METHODS

We used the American College of Surgeons National Surgical Quality Improvement Program database, 2005 to 2018, to analyze preoperative patient characteristics and unadjusted and risk-adjusted rates of adverse postoperative outcomes by year. Expected events were calculated using multiple logistic regression, with each complication as the dependent variable and the 28 non-laboratory preoperative American College of Surgeons National Surgical Quality Improvement Program variables as the independent variables. Annual observed-to-expected ratios for each outcome were used to risk-adjust outcomes over time.

RESULTS

The analytic cohort included 7,474,298 operations across 9 surgical specialties. Both the preoperative patient risk and the unadjusted rate of postoperative complications decreased over time. While the observed-to-expected ratio for mortality remained around 1, the observed-to-expected ratios for the other outcomes decreased over time from 2005 to 2018, except for the following cardiac complications: overall morbidity 1.11 (95% confidence interval: 1.10-1.13) to 0.97 (0.96-0.98); pulmonary 1.18 (1.15-1.21) to 0.91 (0.89-0.92); infection 1.19 (1.16-1.21) to 1.01 (1.00-1.01); urinary tract infection 1.29 (1.23-1.34) to 0.87 (0.86-0.89); venous thromboembolism 1.10 (1.03-1.16) to 0.92 (0.90-0.94) ; cardiac 0.76 (0.70-0.81) to 1.04 (1.01-1.07); renal 1.14 (1.08-1.21) to 0.96 (0.93-0.99); stroke 1.12 (1.00-1.25) to 0.98 (0.94-1.03); and bleeding 1.35 (1.33-1.36) to 0.80 (0.79-0.81).

CONCLUSION

Hospitals participating in the American College of Surgeons National Surgical Quality Improvement Program have experienced a decrease in risk-adjusted postoperative surgical complications over time in all areas except for mortality and cardiac complications.

Preoperative Risk Factors for Discharge to Facility After Surgery in Geriatric Patients

BACKGROUND

The Geriatric Surgery Verification Program (GSV) was developed to address perioperative care for patients ≥75 years, with a goal of improving outcomes and functional abilities after surgery. We sought to evaluate preoperative factors that place patients at risk for inability to return home (ie, discharge to a facility).

METHODS

Retrospective review of patients ≥75 years old who underwent inpatient surgery from January 2018 to December 2022 at a referral Veterans Administration Medical Center enrolled in the GSV program. Preoperative factors included fall history, mobility aids, housing status, function, cognition, and nutritional status. Postoperative outcomes were discharge designations as home and home with services compared to a facility (skilled nursing facility and acute rehab). Exclusion criteria included preoperative facility residence, cardiac surgery, hospital transfer, postoperative complications, hospice discharge, or in-hospital mortality.

RESULTS

605 patients met inclusion criteria and 173 (29%) excluded as above. Of the remaining 432 patients, mean age was 79 ± 5 and the majority were male, 426 (99%). The majority of patients were discharged home, 388 (90%), compared to a facility, 44 (10%). Patients with a fall history (OR: 2.95, 95% CI: 1.56, 5.57), utilizing a mobility aid (OR: 6.0, 95% CI: 2.8, 12.83), were partial or totally dependent (OR: 4.83, 95% CI: 2.29, 10.17), or who lived alone (OR: 2.57, 95% CI: 1.08, 6.07) had higher rates of discharge to a facility.

DISCUSSION

Preoperative mobility compromise and functional dependence are associated with higher rates of discharge to a facility. These preoperative factors are possibly modifiable with multidisciplinary care teams to decrease risks of facility placement.

Care Fragmentation, Social Determinants of Health, and Postoperative Mortality in Older Veterans

INTRODUCTION

Veterans Affairs Surgical Quality Improvement Program (VASQIP) benchmarking algorithms helped the Veterans Health Administration (VHA) reduce postoperative mortality. Despite calls to consider social risk factors, these algorithms do not adjust for social determinants of health (SDoH) or account for services fragmented between the VHA and the private sector. This investigation examines how the addition of SDoH change model performance and quantifies associations between SDoH and 30-d postoperative mortality.

METHODS

VASQIP (2013-2019) cohort study in patients ≥65 y old with 2-30-d inpatient stays. VASQIP was linked to other VHA and Medicare/Medicaid data. 30-d postoperative mortality was examined using multivariable logistic regression models, adjusting first for clinical variables, then adding SDoH.

RESULTS

In adjusted analyses of 93,644 inpatient cases (97.7% male, 79.7% non-Hispanic White), higher proportions of non-veterans affairs care (adjusted odds ratio [aOR] = 1.02, 95% CI = 1.01-1.04) and living in highly deprived areas (aOR = 1.15, 95% CI = 1.02-1.29) were associated with increased postoperative mortality. Black race (aOR = 0.77, CI = 0.68-0.88) and rurality (aOR = 0.87, CI = 0.79-0.96) were associated with lower postoperative mortality. Adding SDoH to models with only clinical variables did not improve discrimination (c = 0.836 versus c = 0.835).

CONCLUSIONS

Postoperative mortality is worse among Veterans receiving more health care outside the VA and living in highly deprived neighborhoods. However, adjusting for SDoH is unlikely to improve existing mortality-benchmarking models. Reduction efforts for postoperative mortality could focus on alleviating care fragmentation and designing care pathways that consider area deprivation. The adjusted survival advantage for rural and Black Veterans may be of interest to private sector hospitals as they attempt to alleviate enduring health-care disparities.

Acute hospitalizations and outcomes in Veterans Affairs Hospitals 2011 to 2017

Hospitals within the Veterans Affairs (VA) health care system exhibited growing use of observation care. It is unknown how this affected VA hospital performance since observation care is not included in acute inpatient measures. To examine changes in VA hospitalization outcomes and whether it was affected by shifting acute inpatient care to observation care. Longitudinal analysis of 986,355 acute hospitalizations and observation stays in 11 states 2011 to 2017. We estimated temporal changes in 30-day mortality, 30-day readmissions, costs, and length of stay (LOS) for all hospitalizations and 6 conditions in adjusted models. Changes in mortality and readmissions were compared including and excluding observation care. A 9% drop in acute hospitalizations was offset by a 157% increase in observation stays 2011 to 2017. A 30-day mortality decreased but readmissions did not when observation stays were included (all P < .05). Mean costs increased modestly; mean LOS was unchanged. There were differences by condition. VA hospital mortality decreased; there was no change in readmissions.

Patient Participation in Multidisciplinary High-Risk Surgery Discussions: A Pilot Study

Objective: Our medical center implemented a multidisciplinary team to improve surgical decision making for high-risk older adults. To make this a patient-centric process, a pilot program included the patient and their family/caregiver(s) in these conversations. Our hypothesis is that multidisciplinary team discussions can improve difficult surgical decision making. Methods: From January to June 2022, we offered patients and their family participation in multidisciplinary discussions at a Veterans Affairs medical center. Semistructured interviews were conducted 1-6 days after the meeting. Interview transcripts were analyzed with qualitative mixed-methods approach. Results: Six patients and caregivers participated in the interviews. They found the discussion helpful for improving their understanding of the surgical decision. Out of these, 50% (3 of 6) of the patients changed their decision regarding the planned operation based on the discussion. Conclusion: Including patients and caregiver(s) in multidisciplinary surgical decision-making discussions resulted in half of the patients changing their surgical plans. This pilot study demonstrated both acceptance and feasibility for all participants.

A Mediation Analysis Examining High Risk, Anticholinergic Medication Use, Delirium, and Dementia After Major Surgery

INTRODUCTION

Anticholinergic medications are known to cause adverse cognitive effects in community-dwelling older adults and medical inpatients, including dementia. The prevalence with which such medications are prescribed in older adults undergoing major surgery is not well described nor is their mediating relationship with delirium and dementia. We sought to determine the prevalence of high-risk medication use in major surgery patients and their relationship with the subsequent development of dementia.

METHODS

This was a retrospective cohort study which used data between January 2013 and December 2019, in a large midwestern health system, including sixteen hospitals. All patients over age 50 undergoing surgery requiring an inpatient stay were included. The primary exposure was the number of doses of anticholinergic medications delivered during the hospital stay. The primary outcome was a new diagnosis of Alzheimer's disease and related dementias at 1-y postsurgery. Regression methods and a mediation analysis were used to explore relationships between anticholinergic medication usage, delirium, and dementia.

RESULTS

There were 39,665 patients included, with a median age of 66. Most patients were exposed to anticholinergic medications (35,957/39,665; 91%), and 7588/39,665 (19.1%) patients received six or more doses during their hospital stay. Patients with at least six doses of these medications were more likely to be female, black, and with a lower American Society of Anesthesiologists class. Upon adjusted analysis, high doses of anticholinergic medications were associated with increased odds of dementia at 1 y relative to those with no exposure (odds ratio 2.7; 95% confidence interval 2.2-3.3). On mediation analysis, postoperative delirium mediated the effect of anticholinergic medications on dementia, explaining an estimated 57.6% of their association.

CONCLUSIONS

High doses of anticholinergic medications are common in major surgery patients and, in part via a mediating relationship with postoperative delirium, are associated with the development of dementia 1 y following surgery. Strategies to decrease the use of these medications and encourage the use of alternatives may improve long-term cognitive recovery.

Impact of Metabolic Syndrome on Early Postoperative Outcomes After Cervical Disk Replacement: A Propensity-matched Analysis

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

To compare the demographics, perioperative variables, and complication rates following cervical disk replacement (CDR) among patients with and without metabolic syndrome (MetS).

SUMMARY OF BACKGROUND DATA

The prevalence of MetS-involving concurrent obesity, insulin resistance, hypertension, and hyperlipidemia-has increased in the United States over the last 2 decades. Little is known about the impact of MetS on early postoperative outcomes and complications following CDR.

METHODS

The 2005-2020 National Surgical Quality Improvement Program was queried for patients who underwent primary 1- or 2-level CDR. Patients with and without MetS were divided into 2 cohorts. MetS was defined, according to other National Surgical Quality Improvement Program studies, as concurrent diabetes mellitus, hypertension requiring medication, and body mass index ≥30 kg/m 2 . Rates of 30-day readmission, reoperation, complications, length of hospital stay, and discharge disposition were compared using χ 2 and Fisher exact tests. One to 2 propensity-matching was performed, matching for demographics, comorbidities, and number of operative levels.

RESULTS

A total of 5395 patients were included for unmatched analysis. Two hundred thirty-six had MetS, and 5159 did not. The MetS cohort had greater rates of 30-day readmission (2.5% vs. 0.9%; P =0.023), morbidity (2.5% vs. 0.9%; P =0.032), nonhome discharges (3% vs. 0.6%; P =0.002), and longer hospital stays (1.35±4.04 vs. 1±1.48 days; P =0.029). After propensity-matching, 699 patients were included. All differences reported above lost significance ( P >0.05) except for 30-day morbidity (superficial wound infections), which remained higher for the MetS cohort (2.5% vs. 0.4%, P =0.02).

CONCLUSIONS

We identified MetS as an independent predictor of 30-day morbidity in the form of superficial wound infections following single-level CDR. Although MetS patients experienced greater rates of 30-day readmission, nonhome discharge, and longer lengths of stay, MetS did not independently predict these outcomes after controlling for baseline differences in patient characteristics.

LEVEL OF EVIDENCE

Level III.

Is Operative Time Associated With Obesity-related Outcomes in TKA?

BACKGROUND

Obesity-based cutoffs in TKA are premised on higher rates of postoperative complications. However, operative time may be associated with postoperative complications, leading to an unnecessary restriction of TKA in patients with obesity. If operative time is associated with these obesity-related outcomes, it should be accounted for in order to ensure all measurable factors associated with negative outcomes are examined for patients with obesity after TKA.

QUESTIONS/PURPOSES

We asked: (1) Is operative time, controlling for BMI class, associated with readmission, reoperation, and postoperative major and minor complications? (2) Is operative time associated with a difference in the direction or strength of obesity-related adverse outcomes?

METHODS

In this comparative study, we extracted all records on elective, unilateral TKA between January 2014 and December 2020 in the American College of Surgeons National Surgical Quality Improvement Program database, resulting in an initial sample of 394,381 TKAs. Patients with emergency procedures (0.1% [270]) and simultaneous bilateral TKAs (2% [8736]), missing or null data (1% [4834]), and those with operative times less than 25 minutes (0.1% [548]) were excluded, leaving 96% (379,993) of our original sample size. The National Surgical Quality Improvement Program database was selected because of its inclusion of operative time, which is not found in any other national database. BMI was subdivided into underweight (BMI < 18.5 kg/m 2 , < 1% [719]), normal weight (BMI 18.5 to 24.9 kg/m 2 , 9% [34,513]), overweight (BMI 25.0 to 29.9 kg/m 2 , 27% [101,538]), Class I obesity (BMI 30.0 to 34.9 kg/m 2 , 29% [111,712]), Class II obesity (BMI 35.0 to 39.9 kg/m 2 , 20% [76,605]), and Class III obesity (BMI ≥ 40.0 kg/m 2 , 14% [54,906]). The mean operative time was 91 ± 36 minutes, 61% of patients were women (233,062 of 379,993), and the mean age was 67 ± 9 years. Patients with obesity tended to be younger and more likely to have preoperative comorbidities and longer operative times than patients with normal weight. Multivariable logistic regression models examined the main effects of operative time with respect to 30-day readmission, reoperation, and major and minor medical complications, while adjusting for BMI class and other covariates including age, sex, race, smoking status, and number of preoperative comorbidities. We then evaluated the potential interaction effect of BMI class and operative time. This interaction term helps determine whether the association of BMI with postoperative outcomes changes based on the duration of the surgery, and vice versa. If the interaction term is statistically significant, it implies the association of BMI with adverse postoperative outcomes is inconsistent across all patients. Instead, it varies with the operative time. Adjusted odds ratios and 95% confidence intervals were calculated, and interaction effects were plotted.

RESULTS

After controlling for obesity, longer procedure duration was independently associated with higher odds of all outcomes (30-minute estimates; adjusted ORs are per minute), including readmission (9% per half-hour of surgical duration; adjusted OR 1.003 [95% CI 1.003 to 1.004]; p < 0.001), reoperation (15% per half-hour of surgical duration; adjusted OR 1.005 [95% CI 1.004 to 1.005]; p < 0.001), postoperative major complications (9% per half-hour of surgical duration; adjusted OR 1.003 [95% CI 1.003 to 1.004]; p < 0.001), and postoperative minor complications (18% per half-hour of surgical duration; adjusted OR 1.006 [95% CI 1.006 to 1.007]; p < 0.001). The interaction effect indicates that patients with obesity had lower odds of reoperation than patients with normal weight when operative times were shorter, but higher odds of reoperation with a longer operative duration.

CONCLUSION

We found that operative time, a proxy for surgical complexity, had a moderate, differential association with obesity over a 30-minute period. Perioperative modification of surgical complexity such as surgical techniques, training, and team dynamics may make safe TKA possible for certain patients who might have otherwise been denied surgery. Decisions to refuse TKA to patients with obesity should be based on a holistic assessment of a patient's operative complexity, rather than strictly assessing a patient's weight or their ability to lose weight. Future studies should assess patient-specific characteristics that are associated with operative time, which can further push the development of techniques and strategies that reduce surgical complexity and improve TKA outcomes.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Comparison of the PCPLC Database to NSQIP-P: A Patient Matched Comparison of Surgical Complications Following Repair of Anorectal Malformation

BACKGROUND

Anorectal malformations (ARM) are rare and heterogenous which creates a challenge in conducting research and offering recommendations for best practice. The Pediatric Colorectal and Pelvic Learning Consortium (PCPLC) was formed in 2016 to address this challenge and created a shared national data registry to collect information about pediatric colorectal patients. There has been no external validation of the data collected. We sought to evaluate the database by performing a patient matched analysis comparing 30-day outcomes identified in the PCPLC registry with the NSQIP-P database for patients undergoing surgical repair of ARM.

METHODS

Patients captured in the PCPLC database from 2016 to 2021 at institutions also participating in NSQIP-P who underwent ARM repair younger than 12 months old were reviewed for 30-day complications. These patients were matched to their NSQIP-P record using their hospital identification number, and records were compared for concordance in identified complications.

RESULTS

A total of 591 patient records met inclusion criteria in the PCPLC database. Of these, 180 patients were also reviewed by NSQIP-P. One hundred and fifty-six patient records had no complications recorded. Twenty-four patient records had a complication listed in one or both databases. There was a 91 % concordance rate between databases. When excluding complications not tracked in the PCPLC registry, this agreement improved to 93 %.

CONCLUSION

Including all patients evaluated for this subpopulation, a 91 % concordance rate was observed when comparing PCPLC collected complications to NSQIP-P. Future efforts can focus on further validating the data within the PCPLC for other patient populations.

LEVEL OF EVIDENCE

V.

Prehabilitation in Adults Undergoing Cancer Surgery: A Comprehensive Review on Rationale, Methodology, and Measures of Effectiveness

Cancer surgery places a significant burden on a patients' functional status and quality of life. In addition, cancer surgery is fraught with postoperative complications, themselves influenced by a patient's functional status. Prehabilitation is a unimodal or multimodal strategy that aims to increase a patient's functional capacity to reduce postoperative complications and improve postoperative recovery and quality of life. In most cases, it involves exercise, nutrition, and anxiety-reducing interventions. The impact of prehabilitation has been explored in several types of cancer surgery, most commonly colorectal and thoracic. Overall, the existing evidence suggests prehabilitation improves physiological outcomes (e.g., lean body mass, maximal oxygen consumption) as well as clinical outcomes (e.g., postoperative complications, quality of life). Notably, the benefit of prehabilitation is additional to that of enhanced recovery after surgery (ERAS) programs. While safe, prehabilitation programs require multidisciplinary coordination preoperatively. Despite the existence of numerous systematic reviews and meta-analyses, the certainty of evidence demonstrating the efficacy and safety of prehabilitation is low to moderate, principally due to significant methodological heterogeneity and small sample sizes. There is a need for more large-scale multicenter randomized controlled trials to draw strong clinical recommendations.

Impact of Postoperative COVID-19 Infection Status on Outcomes in Elective Primary Total Joint Arthroplasty

BACKGROUND

Although Coronavirus disease 2019 (COVID-19) infection causes major morbidity and mortality, it is unclear what the impact of postoperative COVID-19 infection is on 30-day outcomes after total joint arthroplasty (TJA).

METHODS

There were 2,340 patients who underwent TJA in 2021, identified using the National Surgical Quality Improvement Program database, with 925 total hip arthroplasty (THA) patients (39.5%) and 1,415 total knee arthroplasty (TKA) patients (60.5%), overall. Propensity score matching was implemented using patient demographics and preoperative medical conditions to compare outcomes for postoperative COVID-19-positive and COVID-19-negative patients who underwent TKA or THA.

RESULTS

Postoperative COVID-19-positive THA patients were found to have a significantly increased risk of pneumonia (odds ratio [OR] 42.57), sepsis (OR 12.77), readmission (OR 12.06), non-home discharge (OR 3.78), and longer length of stay (hazard ratio 1.62). Postoperative COVID-19-positive TKA patients had an increased risk of 30-day mortality (OR 14.17), superficial infection (OR 3.17), pneumonia (OR 34.68), unplanned intubation (OR 18.31), ventilator use for more than 48 hours (OR 18.31), pulmonary embolism (OR 11.98), urinary tract infection (OR 5.16), myocardial infarction (OR 16.02), deep vein thrombosis (OR 4.69), non-home discharge (OR 1.79), reoperation (OR 3.17), readmission (OR 9.61), and longer length of stay (hazard ratio 1.49).

CONCLUSIONS

Patients who contracted COVID-19 within 30 days after TJA were at increased risk of mortalities, medical complications, readmissions, reoperations, and non-home discharges. It is important for orthopedic surgeons to understand these adverse outcomes to better counsel patients and mitigate these risks, particularly in higher risk populations.

Telehealth for general surgery postoperative care

BACKGROUND

Telehealth utilization rapidly increased following the pandemic. However, it is not widely used in the Veteran surgical population. We sought to evaluate postoperative telehealth in patients undergoing general surgery.

METHODS

Retrospective review of Veterans undergoing general surgery at a level 1A VA Medical Center from June 2019 to September 2021. Exclusions were concomitant procedure(s), discharge with drains or non-absorbable sutures/staples, complication prior to discharge or pathology positive for malignancy.

RESULTS

1075 patients underwent qualifying procedures, 124 (12 ​%) were excluded and 162 (17 ​%) did not have follow-up. 443 (56 ​%) patients followed-up in-person (56 ​%) vs 346 (44 ​%) via telehealth. Telehealth patients had a lower rate of complications, 6 ​% vs 12 ​%, p ​= ​0.013. There were no significant differences in ED visits, 30-day readmission, postoperative procedures or missed adverse events.

CONCLUSION

Telehealth follow-up after general surgical procedures is safe and effective. Postoperative telehealth care should be considered after low-risk general surgery procedures.

A meta-analysis of the American college of surgeons risk calculator's predictive accuracy among different surgical sub-specialties

Background

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) provides risk estimates of postoperative complications. While several studies have examined the accuracy of the ACS-Surgical Risk Calculator (SRC) within a single specialty, the respective conclusions are limited by sample size. We sought to conduct a meta-analysis to determine the accuracy of the ACS-SRC among various surgical specialties.

Study design

Clinical studies that utilized the ACS-SRC, predicted complication rates compared to actual rates, and analyzed at least one metric reported by ACS-SRC met the inclusion criteria. Data for each specialty were pooled using the DerSimonian and Laird random-effect models and analyzed with the binary random-effect model to produce risk difference (RD) and 95 % confidence intervals (CIs) using Open Meta[Analyst].

Results

The initial search yielded 281 studies and, after applying inclusion and exclusion criteria, a total of 53 studies remained with a total sample of 30,134 patients spanning 10 surgical specialties. When considering any complication and death, the ACS-SRC significantly underpredicted complications for: Orthopaedic Surgery (RD -0.067, p = 0.008), Spine (RD -0.027, p < 0.001), Urology (RD -0.03, p < 0.001), Surgical Oncology (RD -0.045, p < 0.001), and Gynecology (RD -0.098, p = 0.01).

Conclusion

The ACS-SRC proved useful in General, Acute Care, Colorectal, Otolaryngology, and Cardiothoracic Surgery, but significantly underpredicted complication rates in Spine, Orthopaedics, Urology, Surgical Oncology, and Gynecology. These data indicate the ACS-SRC is a reliable predictor in some specialties, but its use should be cautioned in the remaining specialties evaluated here.

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.

Comparing Outcomes in Patients Undergoing Colectomy at Veteran Affairs Hospitals and Non-Veteran Affairs Hospitals: A Multiinstitutional Study

INTRODUCTION

The Veteran Affairs Surgical Quality Improvement Program (VASQIP) and National Surgical Quality Improvement Program (NSQIP) are large databases designed to measure surgical outcomes for their respective populations. We sought to compare surgical outcomes in patients undergoing colectomies at Veterans Affairs (VA) hospitals versus non-VA hospitals.

METHODS

After institutional review baord approval, records for 271,523 colectomies from NSQIP and 11,597 from VASQIP between the years 2015 and 2019 were compiled. Demographics, comorbidity, 30-d mortality, and other outcomes were examined using Chi-squared, analysis of variance, Mann Whitney U, and Fisher's Exact Test within SPSS version 26.

RESULTS

VASQIP patients were more likely to be male (94.3% versus 48.4%, P < 0.001) and older (median 63, 52-72 versus 67, 60-72 P < 0.001). Veterans were also more likely to have diabetes (25.3% versus 15.8%, P < 0.001), chronic obstructive pulmonary disease (15.4% versus 5.5%, P < 0.001), and congestive heart failure (17.0% versus 1.3%, P < 0.001). Veterans had slightly better 30-d mortality (2.4% versus 2.8%, P = 0.003), less organ space infections (2.8% versus 5.8%, P < 0.001), or postoperative sepsis (3.4% versus 5.3%). Non-VA patients were more likely to be having emergent surgery (13.4% versus 9.6%, P < 0.001) or undergo a laparoscopic approach (57.9% versus 50.2%, P < 0.001). Non-VA patients had shorter postoperative length of stay (5.99 d versus 7.32 d, P < 0.001) and were less likely to return to the operating room (5.3% versus 8.4%, P < 0.001) CONCLUSIONS: Despite increased comorbidity, VA hospitals and hospitals enrolled in NSQIP have managed to achieve markedly similar rates of 30-d mortality following colectomy. Further study is needed to better understand the differences between both the populations and surgical outcomes between VA hospitals and non-VA hospitals.

Impact of resident participation on surgical outcomes in laparoscopically assisted vaginal hysterectomy

OBJECTIVE

To compare surgical outcomes in patients with benign diseases who underwent laparoscopically assisted vaginal hysterectomy (LAVH) to determine the association between surgical outcomes and resident participation in the gynecologic field.

METHODS

A single-center retrospective study was conducted of patients diagnosed with benign gynecologic diseases who underwent LAVH between January 2010 and December 2015. Clinicopathologic characteristics and surgical outcomes were compared between the resident involvement and non-involvement groups. The primary endpoint was the 30-day postoperative morbidity. Observers were propensity matched for 17 covariates for resident involvement or non-involvement.

RESULTS

Of the 683 patients involved in the study, 165 underwent LAVH with resident involvement and 518 underwent surgery without resident involvement. After propensity score matching (157 observations), 30-day postoperative morbidity occurred in 6 (3.8%) and 4 (2.5%) patients in the resident involvement and non-involvement groups, respectively (P = 0.501). The length of hospital stay differed significantly between the two groups: 5 days in the resident involvement group and 4 days in the non-involvement group (P < 0.001). On multivariate analysis, Charlson Comorbidity Index >2 (odds ratio [OR] 8.01, 95% confidence interval [CI] 2.68-23.96; P < 0.001), operative time (OR 1.02, 95% CI 1.01-1.03; P < 0.001), and estimated blood loss (OR 1.00, 95% CI 1.00-1.00; P < 0.001) were significantly associated with 30-day morbidity, but resident involvement was not statistically significant.

CONCLUSION

There was no significant difference in the 30-day morbidity rate when residents participated in LAVH. These findings suggest that resident participation in LAVH may be a viable approach to ensure both residency education and patient safety.

Preoperative COVID-19 infection status negatively impacts postoperative outcomes of geriatric hip fracture surgery

OBJECTIVES

Compare outcomes for patients with recently diagnosed COVID-19 infection to those without COVID-19 infection undergoing operative treatment of hip fractures using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database.

DESIGN

Retrospective propensity score matched cohort.

METHODS

Patients who received surgery for an acute hip fracture (intramedullary nail (IMN), open reduction internal fixation (ORIF) or hemiarthroplasty) in 2021 were identified from the NSQIP database. Propensity score matching was implemented using patient demographics and preoperative medical conditions to compare outcomes for COVID-19-positive and COVID-19-negative cohorts.

RESULTS

After matching, COVID-19-positive patients exhibited a higher risk of 30-day mortality (Odds ratio (OR) 1.48, 95 % confidence interval (CI) 1.01 - 2.04), pneumonia (OR 2.90, 95 % CI: 1.91 - 4.33), unplanned intubation (OR 2.53, 95 % CI: 1.39 - 4.39), and septic shock (OR 2.51, 95 % CI: 1.10 - 4.67). COVID-19-positive patients were also more likely to have a longer length of hospital stay (Hazard Ratio 1.3, 95 % CI: 1.20 - 1.41) and were more likely to be discharged to an acute care hospital (OR 1.90, 95 % CI: 1.03 - 3.06).

CONCLUSIONS

Active COVID-19 infection is an independent risk factor for complications as well as increased resource utilization in patients undergoing surgical treatment of acute hip fracture. Using the results of this multicenter study, quantification of these risks can help inform practice and treatment protocols for this population.

LEVEL OF EVIDENCE

III.

A NSQIP-Based Randomized Clinical Trial Evaluating Choice of Prophylactic Antibiotics for Pancreaticoduodenectomy

Surgical site infection is a common complication following pancreaticoduodenectomy and is a major source of postoperative morbidity. Surgical site infection is more common among patients who undergo preoperative biliary instrumentation, likely because of the introduction of intestinal flora into the normally sterile biliary tree. Frequently, bacterial isolates from surgical site infections after pancreaticoduodenectomy demonstrate resistance to the antibiotic agents typically used for surgical prophylaxis, suggesting that broad-spectrum coverage may be beneficial. This chapter summarizes the current evidence regarding surgical site infection following pancreatic surgery and describes the rationale and methodology underlying a multicenter randomized trial evaluating piperacillin-tazobactam compared with cefoxitin for surgical site infection prevention following pancreaticoduodenectomy. As the first U.S. randomized surgical trial to utilize a clinical registry for data collection, this study serves as proof of concept for registry-based clinical trials. The trial has successfully completed patient accrual, and study results are forthcoming.

Outcomes of Colectomy in United States Veterans With Cirrhosis: Predicting Outcomes Using Nomogram

INTRODUCTION

With growing incidence of liver cirrhosis worldwide, there is more need for a risk assessment tool to aid in perioperative management of cirrhotic patients undergoing colorectal procedures. We aim to assess the association of open (OC) versus laparoscopic (LC) approach with colorectal procedures' outcomes and develop an easy-to-use nomogram to predict outcomes.

METHODS

We analyzed the Veterans Affairs Surgical Quality Improvement Program to identify all patients with cirrhosis and ascites who underwent colorectal procedures from 2008 to 2015. Model for End-stage Liver Disease score was calculated as well as five-items modified frailty index. The chi-square test was utilized to analyze categorical variables. Two-sided unpaired Student's t-test or Mann-Whitney U-test were used for numerical variables as appropriate. Multivariate logistic regression adjusting for demographics, comorbidities, and other preoperative factors was used to analyze postoperative outcomes. A predictive nomogram was constructed and internally validated.

RESULTS

A total of 731 patients were identified. Overall, complications occurred in 48.2% of patients, and 30-d mortality was 24.8%, with 57.5% were performed emergently. Malignant neoplasm was the most common indication (25.4%). LC was performed in 22.4%, with shorter operative time, less blood transfusions, shorter length of stay, and lower morbidity compared to OC. Overall, Model for End-stage Liver Disease score was an independent factor of mortality, while laparoscopic approach had a protective effect on morbidity. An easy-to-use nomogram was generated for morbidity and 30-d mortality with calculated area under cure of 74.5% and 77.9%, respectively, indicating reliability.

CONCLUSIONS

Although colectomy is a high-risk operation in cirrhotic veterans, LC may have favorable outcomes than OC in selected patients. An easy-to-use nomogram to predict morbidity and mortality for cirrhotic patients undergoing colectomy is proposed.

Supporting effective shared decision-making in surgical context: Why framing of choices matters for high-risk patients and clinicians

AIM

In the context of high-risk surgery, shared decision-making (SDM) is important. However, the effectiveness of SDM can be hindered by misalignment between patients and clinicians in their expectations of postoperative outcomes. This study investigated the extent and the effects of this misalignment, as well as its amenability to interventions that encourage perspective-taking.

METHOD

Lay participants with a Charlson Comorbidity Index of ≥4 (representing patients) and surgeons and anaesthetists (representing doctors) were recruited. During an online experiment, subjects in both groups forecast their expectations regarding short-term (0, 1 and 3 months after treatment) and long-term (6, 9 and 12 months after treatment) outcomes of different treatment options for one of three hypothetical clinical scenarios - ischaemic heart disease, colorectal cancer or osteoarthritis of the hip - and then chose between surgical or non-surgical treatment. Subjects in both groups were asked to consider the scenarios from their own perspective (Estimation task), and then to adopt the perspective of subjects in the other study group (Perspective task). The decisions of all participants (surgery vs. non-surgical alternative) were analysed using binomial generalized linear mixed models.

RESULTS

In total, 55 lay participants and 54 doctors completed the online experiment. Systematic misalignment in expectations between high-risk patients and doctors was observed, with patients expecting better surgical outcomes than clinicians. Patients forecast a significantly higher likelihood of engaging in normal activities in the long term (β = -1.09, standard error [SE] = 0.20, t = -5.38, p < 0.001), a lower likelihood of experiencing complications in the long term (β = 0.92, SE = 0.21, t = 4.45, p < 0.001) and a lower likelihood of experiencing depression in both the short term and the long term (β = 1.01, SE = 0.19, t = 5.38, p < 0.001), than did doctors. Compared with doctors, patients forecast higher estimates of experiencing complications in the short term when a non-surgical alternative was selected (β = -0.91, SE = 0.26, t = -3.50, p = 0.003). Despite this misalignment, in both groups surgical treatment was strongly preferred (estimation task: 88.7% of doctors and 80% of patients; perspective task: 82.2% of doctors and 90.1% of patients).

CONCLUSION

When high-risk surgery is discussed, a non-surgical option may be viewed as 'doing nothing', hence reducing the sense of agency and control. This biases the decision-making process, regardless of the expectations that doctors and patients might have about the outcomes of surgery. Therefore, to improve SDM and to increase the agency and control of patients regarding decisions about their care, we advocate framing the non-surgical treatment options in a way that emphasizes action, agency and change.

Use of artificial intelligence for nonlinear benchmarking of surgical care

BACKGROUND

Existent methodologies for benchmarking the quality of surgical care are linear and fail to capture the complex interactions of preoperative variables. We sought to leverage novel nonlinear artificial intelligence methodologies to benchmark emergency surgical care.

METHODS

Using a nonlinear but interpretable artificial intelligence methodology called optimal classification trees, first, the overall observed mortality rate at the index hospital's emergency surgery population (index cohort) was compared to the risk-adjusted expected mortality rate calculated by the optimal classification trees from the American College of Surgeons National Surgical Quality Improvement Program database (benchmark cohort). Second, the artificial intelligence optimal classification trees created different "nodes" of care representing specific patient phenotypes defined by the artificial intelligence optimal classification trees without human interference to optimize prediction. These nodes capture multiple iterative risk-adjusted comparisons, permitting the identification of specific areas of excellence and areas for improvement.

RESULTS

The index and benchmark cohorts included 1,600 and 637,086 patients, respectively. The observed and risk-adjusted expected mortality rates of the index cohort calculated by optimal classification trees were similar (8.06% [95% confidence interval: 6.8-9.5] vs 7.53%, respectively, P = .42). Two areas of excellence and 4 for improvement were identified. For example, the index cohort had lower-than-expected mortality when patients were older than 75 and in respiratory failure and septic shock preoperatively but higher-than-expected mortality when patients had respiratory failure preoperatively and were thrombocytopenic, with an international normalized ratio ≤1.7.

CONCLUSION

We used artificial intelligence methodology to benchmark the quality of emergency surgical care. Such nonlinear and interpretable methods promise a more comprehensive evaluation and a deeper dive into areas of excellence versus suboptimal care.

Systems of Care Delivery and Optimization in the Postoperative Care Wards

A third of all patients are at risk for a serious adverse event, including death, in the first month after undergoing a major surgery. Most of these events will occur within 24 hours of the operation but are unlikely to occur in the operating room or postanesthesia care unit. Most opioid-induced respiratory depression events in the postoperative period resulted in death (55%) or anoxic brain injury (22%). A future state of mature artificial intelligence and machine learning will improve situational awareness of acute clinical deterioration, minimize alert fatigue, and facilitate early intervention to minimize poor outcomes.