American College Of Surgeons National Surgical Quality Improvement Program Research Articles

HoLEP Safety and Efficacy in Octogenarians: A Retrospective ACS-NSQIP Analysis (2011-2020)

ObjectiveTo evaluate the safety of Holmium laser enucleation of the prostate (HoLEP) in octogenarian compared to non-octogenarian patients. MethodsA retrospective cohort analysis was performed using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2011 to 2020. We assessed baseline demographic data, American Society of Anesthesiologists (ASA) score, functional status, and medical comorbidities. Our primary outcome was the incidence of postoperative complications, the need for re-operation, and re-admission within 30 days following the procedure between octogenarians and non-octogenarians. A multivariate logistic model was utilized to identify predictors for postoperative complications. ResultsA total of 5305 patients were included. Octogenarians had higher rates of hypertension (69.9% vs. 55.5%, p < 0.001), and bleeding disorders (5.1% vs. 2.6%, p < 0.001). The absolute risk for postoperative complications was low in the two groups. However, the octogenarians had higher rates for readmitted (6.1% vs 3.6% p = 0.006) and to receive perioperative blood transfusion (3.3% vs 0.9% p-value <0.001). Multivariable regression analysis showed a significantly lower odds ratio to develop complications in non-octogenarians (OR: 0.698) [95% CI: 0.537, 0.908, (p=0.007)]. ConclusionThere was a significant association between octogenarians and the risk of post-operative complications of HoLEP however the absolute risk remained low. We believe that operative outcomes for octogenarians can be optimized with careful selection given the low incidence of complications.

Evaluation of Modified Frailty Index for Predicting Postoperative Outcomes after Upper Extremity Replantation and Revascularization Procedures.

Upper extremity (UE) replantation and revascularization are challenging surgical procedures, with survival rates being 50 to 90%. Preoperative risk stratification is challenging yet crucial as patients with comorbid conditions face increased complications. This study assesses the predictive value of the modified 5-item frailty index (5-mFI) for postoperative complications in these procedures. A retrospective study was done using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database (2011-2021) for UE replantation/revascularization. The 5-mFI score assigned points for comorbidities including pulmonary disease, heart failure, diabetes, hypertension, and functional status (0-5 scale; 1 point to each). 5-mFI scores stratified patients into <2 (low-risk) or ≥2 (high-risk) categories. Of 2,305 patients, the mean age and body mass index (BMI) were 53.13 years and 28.53 kg/m2, respectively. The 5-mFI ≥2 cohort experienced higher rates of all-cause complications, systemic complications, unplanned readmissions, and return to the operating room on univariate analysis. There was no significant difference in wound complication rates. Multivariable logistic regression showed that a higher 5-mFI was significantly associated with increased risks of all-cause mild and severe systemic complications. Wound complications, length of stay over 30 days, unplanned readmission, and return to the operating room were higher in high-risk patients, however not statistically significant. 5-mFI is an effective tool for evaluating risk in UE replantation and revascularization, correlating high scores with significantly increased postoperative complications. High-risk patients with 5-mFI ≥2 also had more reoperations and readmissions. The use of 5-mFI in preoperative assessments can help personalize management, enhancing patient selection and care quality in these complex reconstructions.

Descriptive analysis of total elbow arthroplasty for distal humerus fractures: 30-day complications.

Although functional outcomes of total elbow arthroplasty (TEA) for distal humerus fractures are satisfactory, there is a high rate of complications. This study aims to characterize the 30-day complications, readmissions, and mortality of patients with TEA for distal humerus fractures in a large registry database. Patients who underwent TEA for a distal humerus fracture were identified from the 2015 to 2020 ACS-NSQIP (American College of Surgeons National Surgical Quality Improvement Program) database. Baseline demographics, clinical characteristics, and complications including deep vein thrombosis/pulmonary embolus, infection, mortality, readmissions, and reoperations were recorded. Overall, 134 patients (mean age, 73.6 years; mean body mass index, 28.9 kg/m2 ; 88.8% females) were included. The total complication rate was 21.6% (n=29). The most common complications were unplanned readmission (6.0%), postoperative transfusion (5.2%), unplanned reoperation (3.0%), wound disruption (2.2%), and urinary tract infection (1.5%). The composite infection rate was 3.7%. There were no 30-day events of mortality, sepsis, or cerebral vascular accident. Patients 80 years or older had higher but not significant rates of unplanned readmission (10.2% vs. 3.5%, P=0.116) and reoperation (6.1% vs. 1.2%, P=0.105). TEA for distal humerus fracture analyzed over 5 years had high rates of 30-day postoperative complications (21.6%), with unplanned readmission, reoperation, and infection being the most common. Level of evidence: IV.

Short-term adverse event rates and risk factors following total elbow arthroplasty for fracture and arthropathy: a matched analysis of nationally representative data

BackgroundTotal elbow arthroplasty (TEA) is a mainstay treatment for elbow arthropathy and elbow fracture that can relieve pain and restore functional motion. The purpose of this study was to determine the role of surgical indication in the incidence of short-term adverse events and risk factors influencing complications in TEA to treat arthropathy compared to TEA for fracture. Matched cohorts were created to better isolate the impact of the surgical indication.MethodsThe study identified patients within the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database that underwent TEA to treat arthropathy or fracture from 2010 to 2020. Matched cohorts were created to analyze the incidence of 30 day adverse events and risk factors for complications.ResultsThe study included 599 patients for analysis. The overall incidence of any adverse event was 9.7%. In matched cohorts of 218 patients, the fracture group experienced a higher incidence of overall adverse events (13.8% vs. 6.0% in the arthropathy group, p = 0.009) and postoperative transfusions (9.6% vs. 1.8% in the arthropathy group, p < 0.001). Logistic regression revealed an increased risk of any adverse event in the combined matched cohort with longer operative times (OR = 1.007, CI: 1.002–1.012, p = 0.006) and those undergoing fracture treatment (OR = 2.447, CI: 1.047–5.717, p = 0.039). Outpatient status was associated with a lower risk of adverse events in the combined matched cohort (OR = 0.207, CI: 0.058–0.739, p = 0.015).ConclusionsEven when controlling for comorbidities, patients undergoing TEA for fracture have a greater likelihood of short-term complications, particularly requiring a blood transfusion. Treatment of a fracture and increased operative time were risk factors for all patients, while outpatient status was protective.Level of evidenceIII.

Low Preoperative Albumin Levels Significantly Associated with Increased Risk of Wound Infection and Bleeding After Panniculectomy.

Introduction: Panniculectomy is recognized to have a high complication rate with up to 56% of patients having postoperative wound healing problems. As they are generally elective procedures, surgeons have the chance to optimize preoperative variables. We reviewed the relationship between preoperative serum albumin and BMI with short-term postoperative panniculectomy complications. Methods: Patients undergoing panniculectomy between January 2005 and December 2019 were identified via CPT code 15830 from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). Multivariate logistic regression was performed on intra/postoperative bleeding and postoperative wound infection against preoperative serum albumin, diabetes status, age, body mass index (BMI), and smoking status. Odds ratios were adjusted for comorbidities. We established statistical significance at p value <0.01. Results: Out of 1472 patients, 69 sustained intra/postoperative bleeding and 31 suffered wound infection. Lower preoperative albumin levels (R2 = 16.3%, p < 0.0001) and elevated BMI (R2 = 9.4%, p < 0.0001) were both significantly associated with increased likelihood of wound infection. For every 1 g/dL decrease in albumin, patients' odds of bleeding increased 1.85 (OR = 1.85, CI 95%= [1.14-2.99]) times, and odds of wound infection increased 5.03 (OR = 5.03, CI 95%= [2.78-9.10]) times (p < 0.0001). BMI and albumin were weakly correlated (r = -0.28) suggesting each had independent effects on complications. Conclusion: In patients undergoing panniculectomy, preoperative albumin level is significantly inversely associated with postoperative bleeding and wound complications. More research is needed to evaluate whether proactively optimizing albumin may reduce complications.

Association between postoperative complications and hospital length of stay: a large-scale observational study of 4,495,582 patients in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) registry

BackgroundPrecise estimates of risk-adjusted increases in postoperative length of stay (LOS) associated with postoperative complications across a range of complications and operations are not available in the existing literature.MethodsAssociations between preoperative characteristics, postoperative complications and postoperative LOS were tested using medians, interquartile ranges, and nonparametric rank sum tests in a retrospective cohort study using the 2005–2018 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) dataset. A negative binomial model was used with postoperative LOS as the dependent variable and preoperative characteristics and postoperative complications as independent variables. The model was applied to estimate each patient’s postoperative LOS with and without each postoperative complication to measure the association between each complication and risk-adjusted change in postoperative LOS.ResultsA total of 4,495,582 patients were included. After risk-adjustment, occurrence of each postoperative complication was associated with significantly increased postoperative LOS (between + 3.9 and + 20.1 days, p < 0.0001). The longest risk-adjusted postoperative LOS increases were associated with prolonged ventilator use (+ 20.1 days), wound disruption (+ 19.4 days), and acute renal failure (+ 17.1 days).ConclusionOccurrence of any postoperative complication was associated with increased risk-adjusted postoperative LOS. Degree of increase varied by complication. These data could be useful for patient counseling, allocation of resources, discharge planning, and quality improvement efforts.

Using machine and deep learning to predict short-term complications following trigger digit release surgery

BackgroundTrigger finger is a common disorder of the hand characterized by pain and locking of the digits during flexion or extension. In cases refractory to nonoperative management, surgical release of the A1 pulley can be performed. This study evaluates the ability of machine learning (ML) techniques to predict short-term complications following trigger digit release surgery. MethodsA retrospective study was conducted using data for trigger digit release from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) years 2005–2020. Outcomes of interest were 30-day complications and 30-day return to the operating room. Three ML algorithms were evaluated — a Random Forest (RF), Elastic-Net Regression (ENet), and Extreme Gradient Boosted Tree (XGBoost), along with a deep learning Neural Network (NN). Feature importance analysis was performed in the highest performing model for each outcome to identify predictors with the greatest contributions. ResultsWe included a total of 1209 cases of trigger digit release. The best algorithm for predicting wound complications was the RF, with an AUC of 0.64 ± 0.04. The XGBoost algorithm was best performing for medical complications (AUC: 0.70 ± 0.06) and reoperations (AUC: 0.60 ± 0.07). All three models had performance significantly above the AUC benchmark of 0.50 ± 0.00. On our feature importance analysis, age was distinctively the highest contributing predictor of wound complications. ConclusionsMachine learning can be successfully used for risk stratification in surgical patients. Moving forwards, it is imperative for hand surgeons to continue evaluating applications of ML in the field.

Acquired buried penis: an observational study characterizing the variability in procedural codes reported during surgery.

Adult acquired buried penis (ABP) is a heterogenous condition and surgical treatment typically includes several steps. Additionally, there is no consensus on which current procedural terminology (CPT) codes to utilize for these steps. Our objective is to characterize the variability in CPT codes reported for ABP surgeries. We hypothesize that the heterogeneous disease process combined with a lack of consensus on appropriate CPT codes will result in marked variability in CPT codes reported during surgery for ABP. Data was collected from American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) between 2007-2020. We included adults undergoing surgery for ABP. All CPT codes were grouped into different anatomic categories: penile procedures, scrotal procedures, pannus-related procedures, urethral procedures, tissue transfers, and skin grafts. Codes not fitting these categories were labeled "Other". Our study included 146 patients. There were 413 total CPT codes reported with 82 unique codes in our cohort. The average number of codes per patient was 2.8, with a range from 1 to 9. There were many unique codes in each anatomic category: 18 different codes within penile procedures, 7 within pannus procedures, 8 within skin grafting, 4 within scrotal procedures, 7 within tissue transfers, and 19 within urethral. There was marked variability in individual code use with each code being reported anywhere from 1 to 58 times. Urologists were the primary surgeons in 69% (n=101). We found marked variability in CPT codes reported during surgery for ABP. This suggests the need for our stakeholder organizations to support efforts that would allow consensus on which codes should be utilized for this increasingly recognized condition.

Trends in the use of immediate postoperative intravesical chemotherapy following transurethral resection of bladder tumors

PurposeThe use of immediate postoperative intravesical chemotherapy (IVC) following transurethral resection of bladder tumor (TURBT) has been shown to reduce the rate of recurrence of nonmuscle invasive bladder cancer. Historically, utilization of IVC following TURBT has been low. We sought to determine the rate of immediate postoperative IVC following TURBT, as well as assess factors that may influence its use. MethodsWe utilized the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database to assess the rates of IVC between the years 2016 to 2021. All patients who underwent TURBT based on appropriate procedure codes were initially included. Patients with an additional procedure code for the administration of IVC were identified. ResultsFrom 2016 to 2021, 50,295 patients underwent TURBT for bladder cancer. There were 21,544 (43%) small, 18,135 (36%) medium, and 10,616 (21%) large tumors treated. In total, 2,833 (5.6%) patients received IVC. Use of IVC was associated with surgery performed in an elective setting, those who did not receive preoperative blood transfusion, and shorter operative time. Receipt of chemotherapy was more common in the later years examined. ConclusionsThe rate of use of IVC remains very low. Ongoing study and improvement initiatives are in place, though these predominantly are assessing academic centers. Further study and quality improvement should be performed and include community practice settings.

Obesity is an independent risk factor for postoperative pulmonary embolism after anterior cervical discectomy and fusion

BACKGROUNDOver the past decade, the prevalence of obesity has risen in the United States, in parallel with the demand for anterior cervical discectomy with fusion (ACDF). Prior studies have evaluated the role of obesity classes in cervical spine surgery in smaller patient populations. We aimed to evaluate any potential correlation to a national population sample by utilizing a large multicenter database. PURPOSEThe purpose of this study was to analyze obesity level's influence on perioperative complication rates in patients undergoing ACDF. STUDY DESIGN/SETTINGA retrospective cohort, large multicenter database study. PATIENT SAMPLEThe American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried to identify patients who had undergone an elective ACDF procedure between 2011 and 2020 using Current Procedural Terminology (CPT) code 22551. OUTCOME MEASURESMedical and surgical complications within thirty days of operation. METHODSPatients were categorized into four BMI groups: nonobese (BMI 18.5−29.9 kg/m2), obese class I (BMI 30−34.9 kg/m2), obese class II (BMI 35−39.9 kg/m2), and obese class III (BMI ≥40 kg/m2). A univariate analysis conducted for demographic variables and preoperative comorbidities identified age, sex, race, smoking status, hypertension requiring medication, diabetes, history of congestive heart failure, history of bleeding disorder, and chronic obstructive pulmonary disease as risk factors. Chi-square test was used to compare incidence of complications among groups. A multivariable logistic regression analysis was subsequently performed to adjust for these preoperative risk factors and compare obesity classes I-III to nonobese patients. RESULTSAbout 64,718 patients were identified of whom 33,365 were nonobese, 17,190 were obese class I, 8,608 were obese class II, and 5,555 were obese class III. Obese classes I-III patients had a higher incidence of surgical site infections (0. 33%, 0.36%, 0.41%, vs. 0.24%, p=.039) and pulmonary embolism (PE) (0.25%, 0.31, 0.29 vs. 0.15%, p=.003). Obese classes I-III had a lower incidence of blood transfusion (0.23%, 0.17%, 0.27% vs. 0.4%, p<.001) obese class I, obese class II, and obese class III independently increased the risk for PE (OR: 1.716, 95% CI (1.129−2.599); OR: 2.213, 95% CI (1.349−3.559); OR: 2.207, 95% CI (1.190--3.892), respectively). CONCLUSIONSRisk for postoperative PEs after an ACDF was significantly higher for obese classes I-III compared to nonobese patients. These findings may further support the use of additional prophylaxis measures and precaution in the perioperative setting.

Predicting prolonged length of stay following revision total knee arthroplasty: A national database analysis using machine learning models

BackgroundAs the number of revision total knee arthroplasty (TKA) continues to rise, close attention has been paid to factors influencing postoperative length of stay (LOS). The aim of this study is to develop generalizable machine learning (ML) algorithms to predict extended LOS following revision TKA using data from a national database. Methods23,656 patients undergoing revision TKA between 2013 and 2020 were identified using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Patients with missing data and those undergoing re-revision or conversion from unicompartmental knee arthroplasty were excluded. Four ML algorithms were applied and evaluated based on their (1) ability to distinguish between at-risk and not-at-risk patients, (2) accuracy, (3) calibration, and (4) clinical utility. ResultsAll four ML predictive algorithms demonstrated good accuracy, calibration, clinical utility, and discrimination, with all models achieving a similar area under the curve (AUC) (AUCLR=AUCRF=AUCHGB=0.75, AUCANN=0.74). The most important predictors of prolonged LOS were found to be operative time, preoperative diagnosis of sepsis, and body mass index (BMI). ConclusionsML models developed in this study demonstrated good performance in predicting extended LOS in patients undergoing revision TKA. Our findings highlight the importance of utilizing nationally representative patient data for model development. Prolonged operative time, preoperative sepsis, BMI, and elevated preoperative serum creatinine and BUN were noted to be significant predictors of prolonged LOS. Knowledge of these associations may aid with patient-specific preoperative planning, discharge planning, patient counseling, and cost containment with revision TKA.

NELA 1 - Actual and predicted 30-day mortality following emergency laparotomy using National Emergency Laparotomy Audit (NELA) and American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) risk prediction tools

Abstract Background Emergency laparotomy (EL) is common, with &amp;gt;30,000 performed annually in the UK. EL has a high 30-day mortality of 9.2%, especially in the elderly. Reliable preoperative risk assessment is essential to aid decision-making and perioperative care arrangements. NELA and ACS-NSQIP risk calculators can both be used to assess risk, and both can under or over-predict mortality. Methods This is a multi-center, retrospective, observational, cohort study investigating the correlation between actual 30-dm (a-30-dm) and predicted 30-dm (p-30-dm) following EL using NELA and ACS-NSQIP in adults over and under 70, over 2-years, in two UK centres. Sample size was calculated at 385 cases. Statistical analysis was carried out using GraphPad Prism 10.1.1. Results 626 cases were analyzed. A-30-dm, NELA, and ACS-NSQIP p-30-dm in the under 70s subgroup were 5.78%, 5.53%, and 3.41% respectively, with NELA and ACS-NSQIP correlating positively with a-30-dm: R²=0.12, p&amp;lt;0.0001 and R²=0.09, p&amp;lt;0.0001. In over 70s, a-30-dm was 13.96%, NELA p-30-dm 14.02% and ACS-NSQIP 9.76%, with a positive correlation between the latter two (R²=0.56, p&amp;lt;0.0001), but a weak one between a-30-dm and NELA (R²=0.04, p&amp;lt;0.0001) or ACS-NSQIP (R²=0.02, p&amp;lt;0.0001). For the entire cohort a-30-dm, NELA and ACS-NSQIP p-30-dm were 9.74%, 9.8%, and 6.59% respectively. NELA and ACS-NSQIP p-30-dm showed a strong positive correlation (R²=0.89; p&amp;lt;0.0001) with only NELA showing a strong positive correlation with a-30-dm (R²=0.31, p&amp;lt;0.0001); and not ACS-NSQIP (R²=0.05, p&amp;lt;0.0001). Conclusion NELA can accurately predict 30-day mortality in patients aged &amp;lt;70 undergoing EL but not &amp;gt;70. ACS-NSQIP and a-30-dm correlated in a very weak manner.

SP2.9 - National Emergency Laparotomy Audit (NELA) and American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) risk prediction calculators are not accurate in predicting 30-day mortality in patients aged 80 and above

Abstract Background 30- to 50000 Emergency Laparotomies (EL) are performed annually in the UK. More than half of patients are aged 70 or over and have a high post-operative complication rate along with a 16-20% risk of 30-day mortality (30-dm). To date, the literature lacks a dedicated risk prediction tool for mortality and morbidity following EL in the elderly population. Methods A multi-center, retrospective study of patients aged ≥80 undergoing EL examined the correlation between predicted 30-dm using NELA and ACS-NSQIP and actual 30-dm. This occurred in two UK centers over a 2-year period. The primary outcome was defined as the correlation between actual 30-dm and NELA or ACS-NSQIP predicted 30-dm. GraphPad Prism 10.1.1. was used for statistical analysis. Results 141 cases were included in the final analysis (Table 1). The actual 30-dm was 17.73%, NELA predicted 30-dm 13.07% (7.21;27.84), and ACS-NSQIP 9.4% (3.8;20.6). NELA correlated positively with ACS-NSQIP predicted 30-dm (R²=0.79; p&amp;lt;0.0001). No association was found between actual 30-dm and predicted NELA 30-dm, R²=0.01; p&amp;lt;0.0001 or ACS-NSQIP, R²=0.01; p&amp;lt;0.0001. All data is expressed as Median + IQR. Conclusion In octo- and nonagenarians, following an emergency laparotomy, both NELA and ACS-NSQIP are not accurate in predicting 30-day mortality.Table 1Male/female ratio0.63Age (years)84 (81;87)BMI (kg/m²)24.27 (21.43;27)Lactate (most recent preoperative value) mmol/L1.7 mmol/L (1.14;3.01)ASA grade3 (2;4)Clinical frailty score3 (3;5)Charlson Comorbidity Index4 (2;5)

FP7.8 - Perioperative risk prediction for Emergency Laparotomy in Adults, using the National Emergency Laparotomy Audit (NELA) and the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) risk prediction tools – an Eastern European perspective

Abstract Background Worldwide, emergency laparotomy (EL) is one of the most common procedures. Having an actual 30-day mortality (30-dm) of 10 to 15%, EL has a high mortality rate, particularly in patients &amp;gt;70 years old. Preoperative risk assessment and stratification can improve outcomes. The American-College-of-Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) and the National Emergency Laparotomy Audit (NELA) risk prediction tools are the most used risk calculators, but both can under or overpredict. Methods This is a single-center, retrospective, cohort study that looked at the correlation between actual and predicted 30-dm using NELA and ACS-NSQIP in adults ≥18, following EL, over 2 years, in a single-tertiary-center from Romania. The primary outcome was defined as the correlation between actual 30-dm and NELA or ACS-NSQIP predicted 30-dm. Statistical analysis was performed using GraphPad-Prism 10.1.1. and Stata18. Results 207 cases were analyzed. Male/female ratio was 1.49; age 65 years (50;77); BMI 26.25kg/m² (23.01;28.35); preoperative lactate 1.8 mmol/L (1.5;3.4); ASA grade 3 (2;4) clinical frailty score 4 (3;4); and Charlson Comorbidity Index 5 (3;8). Actual 30-dm was 31.4% with NELA and ACS-NSQIP predicted 30-dm of 5.78% (1.84;21.48) and 5.5% (1.2;24.2) respectively. NELA and ACS-NSQIP predicted 30-dm expressed a strong positive correlation, R²=0.88; p&amp;lt;0.0001. Both NELA and ACS-NSQIP predicted 30-dm showed a significant positive correlation with actual 30-dm: R²=0.33, p&amp;lt;0.0001; and R²=0.41, p&amp;lt;0.0001 respectively. All data is presented as Median + IQR. Conclusion In a Romanian setting both ACS-NSQIP and NELA risk calculators underpredicted 30-dm, despite expressing a strong positive correlation with actual 30-dm.

Predictors of Prolonged Hospital Stay After Microsurgery for Vestibular Schwannoma: Analysis of a Decade of Data.

Microsurgical resection is one of the treatments for vestibular schwannomas (VS). While several factors have been linked to increased length of stay (LOS) for VS patients undergoing microsurgery, a better understanding of these factors is important to provide prognostic information for patients. Determine predictors of increased LOS for VS patients undergoing microsurgical resection. Retrospective analysis using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2010 to 2020. Database review. All patients who underwent microsurgery (CPT codes 61520, 61526/61596) for the management of vestibular schwannoma (ICD9 and ICD10 codes 225.1, D33.3) were included. Analyzing perioperative factors that can predict prolonged hospital stay. A total of 2096 cases were identified and 1,188 (57%) of these patients were female. The mean age was 51.0 ± 14.0 years. Factors contributing to prolonged LOS included African American race (OR = 2.11, 95% CI: 1.32-3.36, p = 0.002), insulin-dependent diabetes mellitus (OR = 2.12, 95% CI: 1.09-4.4.11, p = 0.026), hypertension (OR = 1.26, 95% CI: 1-1.58, p = 0.046), functional dependency (OR = 5.22, 95% CI: 2.31-11.79, p = 0.001), prior steroid use (OR = 1.96, 95% CI: 1.18-3.15, p = 0.009), ASA class III (OR = 2.06, 95% CI: 1.18-3.6, p < 0.011), ASA class IV (OR = 6.34, 95% CI: 2.62-15.33, p < 0.001), and prolonged operative time (OR = 2.14, 95% CI: 1.76-2.61). Microsurgery by a translabyrinthine (TL) approach compared to a retrosigmoid (RSG) approach had lower odds of prolonged LOS (OR = 0.67, 95% CI: 0.54-0.82, p < 0.001). In a separate analysis regarding patients receiving reoperation, operative time was the only predictor of prolonged LOS (OR = 2.77, 95% CI: 1.39-5.53, p = 0.004.). Our analysis offers an analysis of the factors associated with a prolonged LOS for the surgical management of VS. By identifying healthcare disparities, targeting modifiable factors, and applying risk stratification based on demographics and comorbidities, we can work toward reducing disparities in LOS and enhancing patient outcomes.

Within-hospital Temporal Clustering of Postoperative Complications and Implications for Safety Monitoring and Benchmarking Using ACS-NSQIP Data.

To determine the extent to which within-hospital temporal clustering of postoperative complications is observed in the American College of Surgeons, National Surgical Quality Improvement Program (ACS-NSQIP). ACS-NSQIP relies on periodic and on-demand reports for quality benchmarking. However, if rapid increases in postoperative complication rates (clusters) are common, other reporting methods might be valuable additions to the program. This article focuses on estimating the incidence of within-hospital temporal clusters. ACS-NSQIP data from 1,547,440 patients, in 425 hospitals, over a 2-year period was examined. Hospital-specific Cox proportional hazards regression was used to estimate the incidence of mortality, morbidity, and surgical site infection (SSI) over a 30-day postoperative period, with risk adjustment for patient and procedure and with additional adjustments for linear trend, day-of-week, and season. Clusters were identified using scan statistics, and cluster counts were compared, using unpaired and paired t tests, for different levels of adjustment and when randomization of cases across time eliminated all temporal influences. Temporal clusters were rarely observed. When clustering was adjusted only for patient and procedure risk, an annual average of 0.31, 0.85, and 0.51 clusters were observed per hospital for mortality, morbidity, and SSI, respectively. The number of clusters dropped after adjustment for linear trend, day-of-week, and season (0.31-0.24; P = 0.012; 0.85-0.80; P = 0.034; and 0.51-0.36; P < 0.001; using paired t tests) for mortality, morbidity, and SSI, respectively. There was 1 significant difference in the number of clusters when comparing data with all adjustments and after data were randomized (0.24 and 0.25 for mortality; P = 0.853; 0.80 and 0.82 for morbidity; P = 0.529; and 0.36 and 0.46 [randomized data had more clusters] for SSI; P = 0.001; using paired t tests) for mortality, morbidity, and SSI, respectively. Temporal clusters of postoperative complications were rarely observed in ACS-NSQIP data. The described methodology may be useful in assessing clustering in other surgical arenas.

Using machine learning to identify risk factors for short-term complications following thumb carpometacarpal arthroplasty

BackgroundThumb carpometacarpal (CMC) joint osteoarthritis is among the most common degenerative hand diseases. Thumb CMC arthroplasty, or trapeziectomy with or without tendon augmentation, is the most frequently performed surgical treatment and has a strong safety profile. Though adverse outcomes are infrequent, the ability to predict risk for complications has substantial clinical benefits. In the present study, we evaluated a well-known surgical database with machine learning (ML) techniques to predict short-term complications and reoperations after thumb CMC arthroplasty. MethodsA retrospective study was conducted using data from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) years 2005–2020. Outcomes were 30-day wound and medical complications and 30-day return to the operating room. We used three ML algorithms — a Random Forest (RF), Elastic-Net Regression (ENet), and Extreme Gradient Boosted Tree (XGBoost), and a deep learning Neural Network (NN). Feature importance analysis was performed in the highest performing model for each outcome to identify predictors with the greatest contributions. ResultsWe included a total of 7711 cases. The RF was the best performing algorithm for all outcomes, with an AUC score of 0.61±0.03 for reoperations, 0.55±0.04 for medical complications, and 0.59±0.03 for wound complications. On feature importance analysis, procedure duration was the highest weighted predictor for reoperations. In all outcomes, procedure duration, older age, and female sex were consistently among the top five predictors. ConclusionsWe successfully developed ML algorithms to predict reoperations, wound complications, and medical complications. RF models had the highest performance in all outcomes.

369. IMPACT OF THE COVID-19 PANDEMIC ON ESOPHAGEAL CANCER PATIENTS UNDERGOING ESOPHAGECTOMY: AN ACS-NSQIP DATABASE ANALYSIS

Abstract Background To cope with the increasing number of infected patients, medical access was restricted, and public facilities were closed throughout the COVID-19 pandemic. Early detection and treatment of esophageal cancer is critical for improved prognosis. However, the impact of pandemic-related medical access restrictions has not be evaluated to date for esophageal cancer. Therefore, the purpose of this research is to determine how the lockdown policy affected the surgical outcome of patients with esophageal cancer. Methods We analyzed patients who underwent esophagectomy for esophageal cancer between 2016-2022 using data obtained from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP), including the procedure targeted esophagectomy database. The patients were stratified into two groups based on their operation date relative to pandemic (BEFORE COVID group: 2016-2019 vs AFTER COVID group: 2020-2022). Demographic data and perioperative outcomes were compared between the two groups. Statistical analysis included Chi-square tests for categorical variables and independent student T-tests for continuous data, with a significance threshold set at p &amp;lt; 0.05. Results Between 2016-2022, 7,198 esophageal cancer patients underwent esophagectomy. Clinical T4 increased significantly, but clinical N and pathologic T and N stages showed no impact. PET scan imaging, neoadjuvant chemotherapy and radiotherapy remained unchanged. The utilization of a minimally invasive approach rose substantially from 32.6% to 47.2% (p &amp;lt; 0.001). Positive margin rates increased from 7.5% to 9% (p = 0.03), and anastomotic leak rates increased from 14.1% to 17.2% (p &amp;lt; 0.001). Operative time, blood loss, and conversion rate showed no significant differences. Perioperative complications, including organ space surgical site infections and myocardial infarctions, significantly increased after COVID-19. Conclusion The COVID-19 pandemic altered the clinical staging of esophageal cancer patients undergoing esophagectomy, but it did not disrupt access to essential investigations and treatment. A notable increase in the implementation of minimally invasive techniques was observed after the pandemic. However, significant impacts were noticed on operative outcomes, including positive margin and leak rates.

Racial and Ethnic Disparities in Providing Guideline-Concordant Care After Hip Fracture Surgery

Institutions have adopted protocol-driven standardized hip fracture programs (SHFPs). However, concerns persist regarding bias in adherence to guideline-concordant care leading to disparities in implementing high-quality care for patients recovering from surgery for hip fracture. To assess disparities in the implementation of guideline-concordant care for patients after hip fracture surgery in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) Targeted Hip Fracture (THF) Database. This cross-sectional study was conducted using the ACS-NSQIP THF database from 2016 to 2021 for patients aged 65 years and older with hip fractures undergoing surgical fixation. Care outcomes of racial and ethnic minority patients (including American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or Pacific Islander, or multiple races and Hispanic ethnicity) were compared with non-Hispanic White patients via risk difference, stratified by care institution SHFP status. Modified Poisson regression was used to measure interactions. Statistical analysis was performed from November 2022 to June 2024. The primary outcomes of interest encompassed weight-bearing as tolerated (WBAT) on postoperative day 1 (POD1), venous thromboembolism (VTE) prophylaxis, bone-protective medication, and the presence of SHFP at the institution. Among 62 194 patients (mean [SD] age, 82.4 [7.3] years; 43 356 [69.7%] female) who met inclusion criteria and after multiple imputation, 11.2% (95% CI, 10.8%-11.5%) were racial and ethnic minority patients, 3.3% (95% CI, 3.1%-3.4%) were Hispanic patients, and 92.0% (95% CI, 91.7%-92.2%) were White. Receiving care at an institution with an SHFP was associated with improved likelihood of receiving guideline-concordant care for all patients to varying degrees across care outcomes. SHFP was associated with higher probability of being WBAT-POD1 (risk difference for racial and ethnic minority patients, 0.030 [95% CI, 0.004-0.056]; risk difference for non-Hispanic White patients, 0.037 [95% CI, 0.029-0.45]) and being prescribed VTE prophylaxis (risk difference for racial and ethnic minority patients, 0.066 [95% CI, 0.040-0.093]; risk difference for non-Hispanic White patients, 0.080 [95% CI, 0.071-0.089]), but SHFP was associated with the largest improvements in receipt of bone-protective medications (risk difference for racial and ethnic minority patients, 0.149 [95% CI, 0.121-0.178]; risk difference for non-Hispanic White patients, 0.181 [95% CI, 0.173-0.190]). While receiving care at an SHFP was associated with improved probability of receiving guideline-concordant care in both race and ethnicity groups, greater improvements were seen among non-Hispanic White patients compared with racial and ethnic minority patients. Older adults who received care at an institution with an SHFP were more likely to receive guideline-concordant care (bone-protective medication, WBAT-POD1, and VTE prophylaxis), regardless of race and ethnicity. However, the probability of receiving guideline-concordant care at an institution with an SHFP increased more for non-Hispanic White patients than racial and ethnic minority patients.

Analysis of neoadjuvant therapy effect on 30-day postoperative outcomes in gallbladder cancer

BackgroundThe role of neoadjuvant therapy (NAT) in gallbladder cancer (GBC) is not well established. We sought to evaluate the effect of NAT on postoperative outcomes following surgical resection of GBC. We hypothesized that patients receiving NAT would have similar rates of 30-day mortality, readmission, and postoperative complications (e.g. bile leakage and liver failure) compared to those who did not receive NAT. MethodsThe 2014–2017 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) Procedure-Targeted Hepatectomy database was queried for patients that underwent surgery for GBC. Propensity scores were calculated to match patients in a 1:2 ratio based on age, comorbidities, functional status, and tumor staging. ResultsA total of 37 patients undergoing NAT were matched to 74 patients without NAT. There was no difference in any matched characteristics. Compared to the NAT group, the no NAT cohort had similar rates of postoperative bile leakage (NAT 13.5 % vs. no NAT 10.8 %, p = 0.31), postoperative liver failure (5.4 %, vs. 8.1 %, p = 0.60), 30-day readmission (10.8 % vs. 10.8 %, p = 1.00), and 30-day mortality (10.8 % vs. 2.7 %, p = 0.075). All 30-day complications were similar except for a higher rate of postoperative blood transfusion (NAT 32.4 % vs. no NAT 10.8 %, p = 0.005). ConclusionIn patients undergoing surgical resection for GBC, those with and without NAT had similar rates of readmission and 30-day mortality, however NAT was associated with an increased risk for transfusion. Despite use of a large national database, this study may be underpowered to adequately assess the effect of NAT on perioperative GBC outcomes and thus warrants further investigation.