Surgeons-National Surgical Quality Improvement Program Research Articles

Contemporary morbidity and mortality of open versus robotic cystectomy for bladder cancer: An analysis of the National Surgical Quality Improvement Program (NSQIP) procedure targeted cystectomy database

ObjectivesTo evaluate the association between surgical modality (RARC vs. ORC) and the risk of 30-day complications. Materials and MethodsWe utilized the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) Cystectomy-Targeted database from 2019 to 2021. The primary outcome was a composite of major complications including 30-day mortality, reoperation, cardiac events, and stroke. Secondary outcomes included individual major and cystectomy-specific complications. Propensity score matching (PSM) was employed to minimize inherent differences within our cohort. We performed logistic regression to assess the association between outcomes of interest and operative modality. ResultsWe found no difference between operative modality and the primary outcome, however, RARC was associated with a 70% lower risk of 30-day mortality (OR 0.30, 95% CI 0.13-0.70) and had favorable outcomes with respect to respiratory, deep venous thrombosis, wound complications, and length of stay. Limitations are related to residual confounding given the observational methodology. ConclusionsRARC was associated with reduced risk of multiple 30-day complications, including mortality, as well as organ system and cystectomy-specific outcomes. These data support the clinical benefit of increased adoption of RARC.

Association between perioperative non-steroidal anti-inflammatory drug use and cardiovascular complications after non-cardiac surgery in older adult patients.

We investigated in older adult non-cardiac surgical patients whether receipt of perioperative non-steroidal anti-inflammatory drugs (NSAIDs) is associated with increased incidence of postoperative cardiovascular complications. We retrospectively extracted the information for patients with age ≥ 65years who had inpatient non-cardiac surgery with a duration of ≥ 1h from the American College of Surgeons-National Surgical Quality Improvement Program registry data acquired at the University of Washington Medical Center. We compared patients who received NSAIDs perioperatively to those who did not receive NSAIDs, on the two composite outcomes: (1) the incidence of postoperative cardiovascular complications within 30days of the surgery, and (2) the incidence of combined postoperative gastrointestinal and renal complications, and length of postoperative hospital stay. We used separate multivariable logistic regression models to analyze the two composite outcomes and a Poisson regression model for the length of hospital stay. The receipt of perioperative NSAIDs was not associated with postoperative cardiovascular complications (estimated odds ratio (OR), 1.78; 95% confidence interval (CI), 0.97 to 3.25; P = 0.06), combined renal and gastrointestinal complications (estimated OR, 1.30; 95% CI, 0.53 to 3.20; P = 0.57), and length of postoperative hospital stay in days (incidence rate ratio, 1.06; 95% CI, 0.93 to 1.21; P = 0.39). In older adult non-cardiac surgical patients, receipt of perioperative NSAIDs was not associated with increased incidences of postoperative cardiovascular complications, and renal and gastrointestinal complications within 30days after surgery, or length of postoperative hospital stay.

299 Predictors of Unplanned Readmission in Patients Undergoing Intracranial Tumor Resection: A Multi-center Analysis of 31,776 Patients

INTRODUCTION: Although unplanned readmission is a postoperative outcome metric associated with significant morbidity and financial burden, precise assessment tools for its prediction are yet to be developed. The Revised Risk Analysis Index (RAI) has been recently endorsed as a robust frailty index for predicting surgical outcomes. Hence, the RAI could potentially be utilized to help improve prediction unplanned readmission in patients undergoing intracranial tumor resection (ITR). METHODS: Data of patients undergoing ITR were obtained from the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database from the years 2012-2019 using the ICD-9 and ICD-10 codes, indicating ITR. Baseline characteristics, preoperative clinical status, and outcomes were compared between patients with and without unplanned readmission. Frailty, as a measure of baseline physiological reserve, was calculated using the RAI. Univariate and multivariate logistic regression analyses were performed to identify independent associations between unplanned readmissions and patient characteristics. RESULTS: The unplanned readmission rate of this cohort (N = 31,776) was 10.8% (N = 3,420). Among the readmitted patients, 958 required unplanned reoperation. Multiple characteristics were significantly different between the readmitted and non-readmitted patients, including age, BMI, comorbidities, and RAI groups (p < 0.05). The most common causes of unplanned readmission were infection (9.4%), seizures (6%), and pulmonary embolism (4%). Patient characteristics identified as reliable predictors of unplanned readmission, included age, body mass index (BMI), functional status, diabetes, hypertension, hyponatremia, and their RAI score (p < 0.05). In multivariate analysis, RAI “frail” patients had an unplanned readmission odds ratio (OR) of 1.3(95%CI; 1.2-1.4), and RAI “severely frail” patients had an OR of 1.6 (95%CI; 1.3-2.1) (p < 0.001). CONCLUSIONS: The RAI is a reliable pre-operative frailty index for predicting unplanned readmission following ITR. Utilizing the RAI to identify high risk patients may decrease unplanned readmission through implementation of appropriate management guidelines.

Prediction of Short-Term Postoperative Complications Following Open Reduction Internal Fixation of Acute Ankle Fractures

Introduction/Purpose: Acute ankle fractures are a common injury and represent a significant financial burden to the healthcare system. Reimbursement following ankle fractures is complicated by bundled payments within the 90-day global period which do not account for unpredictable complications. Comorbidity indices, such as the American Society of Anesthesiologists (ASA) classification, are often correlated with complications; however, the positive predictive value of these metrics have not been investigated. As insurers continue to transition towards bundled reimbursements, greater attentiveness towards providing efficient care is paramount. The purpose of this investigation is to develop a machine learning (ML) model that is predictive of complications following operative management of acute ankle fractures. This study will also compare ML algorithms to legacy indices to assess the predictive value in predicting complications. Methods: The American College of Surgeons-National Surgical Quality Improvement Program database was queried via Current Procedural Terminology (CPT) from 2015-2018 for open reduction internal fixation (ORIF) cases for ankle fractures, including ORIF of the medial malleolus, posterior malleolus, lateral malleolus, bimalleolar, trimalleolar, syndesmosis. Training and validation sets were created by randomly assigning 80% and 20% of the data set. Included variables were age, body mass index (BMI), operative time, smoking status, comorbidities, diagnosis, and preoperative hematocrit and albumin. Complications included any adverse event, transfusion, surgical site infection, return to the operating room, deep vein thrombosis or pulmonary embolism, pneumonia, urinary tract infection, cerebrovascular accident, cardiac arrest, myocardial infarction. Each ML algorithm was compared with one another and to a baseline model using American Society of Anesthesiologists (ASA) classification. Model strength was evaluated by calculating the area under the curve (AUC) for receiver operating characteristic (ROC) of any adverse event. Results: We identified a total of 28,736 ORIF cases. Mean age and BMI were 32.2 ± 18.6 years, 30.8 ± 7.6 kg/m^2, respectively. The overall incidence of any medical complication was 3.4% (n=975) with surgical site infection (1.3%, n=386) and return to operating room (1.3%, n=367) being the most common. Percentage hematocrit, BMI, operative time, and age were of highest importance in outcome prediction. Logistic regression (AUC: 72%) and gradient boosting (AUC: 72%) ML algorithms outperformed ASA classification (AUC: 69%) for predicting any adverse event following ORIF of ankle fractures. Conclusion: Legacy comorbidity indices are simple metrics that can be easily constructed from patient demographic variables and past medical history. However, the predictive power is limited as they have shown a low positive predictive value for predicting complications. Machine learning algorithms can calculate patient-specific risk for postoperative complications which may adjust perioperative care and site of surgery. These models have the capability to optimize utilization of healthcare resources and minimize excessive expenditure by providing patient-specific care. Receiver Operating Curve-Area under the Curve Analysis for Adverse Events Following ORIF of Ankle Fractures

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

Abstract 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. Conclusions 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.

A Comparison of Short-Term Outcomes after Surgical Treatment of Multilevel Degenerative Cervical Myelopathy in the Geriatric Patient Population: An Analysis of the National Surgical Quality Improvement Program Database 2010-2020.

Retrospective review of the American College of Surgeons-National Surgical Quality Improvement Program database from 2010 to 2020. To compare the short-term complication rates of anterior cervical decompression and fusion (ACDF), posterior cervical laminoplasty (LP), and posterior cervical laminectomy and fusion (PCF) in a geriatric population. The geriatric population in the United States has increased significantly. Degenerative cervical myelopathy (DCM) is caused by cervical spinal stenosis, and its prevalence increases with age. Therefore, the incidence of multilevel DCM requiring surgical intervention is likely to increase. ACDF, LP, and PCF are the most commonly used surgical techniques for treating multilevel DCM. However, there is uncertainty regarding the optimal surgical technique for the decompression of DCM in geriatric patients. Patients aged 65 years who had undergone either multilevel ACDF, LP, or PCF for the treatment of DCM were analyzed. Additional analysis was performed by standardizing the data for the American Society of Anesthesiologists classification scores and preoperative functional status. A total of 23,129 patients were identified. Patients with ACDF were younger, more often female, and preoperatively healthier than those in the other two groups. The estimated postoperative mortality and morbidity, mean operation time, and length of hospital stay were the lowest for ACDF, second lowest for LP, and highest for PCF. The readmission and reoperation rates were comparable between ACDF and LP; however, both were significantly lower than PCF. PCF is associated with the highest risk of mortality, morbidity, unplanned reoperation, and unplanned readmission in the short-term postoperative period in patients aged 65 years. In contrast, ACDF carries the lowest risk. However, some disease-specific factors may require posterior treatment. For these cases, LP should be included in the preoperative discussion when determining the ideal surgical approach for geriatric patients.

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

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

Supervised machine learning algorithms used to predict post-surgical outcomes following anterior surgical fixation of odontoid fractures

Background: Odontoid fractures have a high mortality rate, and numerous classification systems have previously predicted surgical outcomes with mixed consensus. We generated a machine learning (ML) construct to predict post-operative adverse events following anterior (ORIF) of odontoid fractures. Methods: 266 patients from the American college of surgeons-national surgical quality improvement program (ACS-NSQIP) with anterior ORIF (CPT 22318) of odontoid fractures from 2008-2018 were analyzed using ML algorithms random forest classifier (RF), gradient boosting classifier (GB), support vector machine classifier (SVM), Gaussian Naive Bayes classifier (GNB), and multi-layer perceptron classifier (MLP), and were compared to logistic regression classifier (LR). Algorithms predicted increased length of stay (LOS), need for transfusion (Transf), non-home discharge (NHD), and any adverse event (AAE). Permutation feature importance (PFI) identified risk factors. Results: ML algorithms outperformed LR. The average AUC for predicting Transf was 0.635 (accuracy=77.4%), extended LOS=0.652 (accuracy 59.6%), NHD 0.788 (accuracy=71.9%) and AAE 0.649 (accuracy 68.1%). GB performed highest for Transf (AUC=0.861), identifying operative time (PFI 0.253, p=0.016). GB and RF performed equally for NHD (AUC=0.819), highlighting preoperative hematocrit (PFI=0.157, p&lt;0.001). GB predicted AAE (AUC=0.720) also identifying preoperative hematocrit (PFI=0.112, p&lt;0.001). RF predicted extended LOS (AUC=0.669) highlighting preoperative hematocrit (PFI=0.049, p&lt;0.001). Conclusions: ML outperformed LR, successfully predicting Transf, extended LOS, NHD, and AAE for anterior ORIF of odontoid fractures. Our construct may complement conventional risk stratification to reduce adverse outcomes and excess cost.

Application of machine learning constructs to predict post-operative complications and adverse events following shoulder hemiarthroplasty

Background: Artificial intelligence (AI) constructs and machine learning (ML) algorithms have demonstrated utility in predicting various clinical, surgical, and financial outcomes. In this study, we applied AI to shoulder hemiarthroplasty (HA) to predict various post-operative complications. Methods: The sample was queried from the American college of surgeons-national surgical quality improvement program (ACS-NSQIP) database for all shoulder HA cases from 2008-2018. Six ML algorithms-random forest classifier, gradient boosting classifier, decision tree classifier, SVM classifier-tuned model, Gaussian Naïve Bayes classifier, multi-layer perception-analyzed the sample dataset. Postoperative complications included extended length of stay, non-home discharge destination, transfusion, and any adverse event. Each ML model was compared to logistic regression (LR), and model strength was evaluated. Results: We identified a total of 1585 shoulder HA cases. Mean age, BMI, operative time, and length of stay were 66±12 years, 31±8 kg/m2, 114±61 minutes, and 2.93±6.61 days. Preop hematocrit, longer operative time, and older age were most predictive of extended length of stay. Preop hematocrit, operative time, and ASA class had the highest importance in any adverse events (AAE) prediction. ML models outperformed traditional comorbidity indices, LR, for predicting extended length of stay (79% vs. 66%), non-home discharge destination (79% vs. 65%), any adverse event (78% vs. 66%), and transfusion requirement (82% vs. 63%). Conclusions: ML algorithms predicted post-surgical outcomes of interest following shoulder HA at a higher rate to conventional LR and can assist orthopedic surgeons in decision making.

Transfusion in Radical Cystectomy Increases Overall Morbidity and Mortality: A Retrospective Study Using Data from the American College of Surgeons—National Surgical Quality Improvement Program

Background: Radical cystectomy is a complex procedure imposing significant post-operation complications. Objective: Explore the impact of peri-operative pRBC transfusion on mortality and overall morbidity in a matched cohort. Methods: The American College of Surgeons—National Surgical Quality Improvement Program’s (ACS-NSQIP) dataset was used to select patients who underwent RC in 2008–2019. Patients who witnessed pre-operative transfusion and emergency cases were excluded. Peri-operative pRBC transfusion was defined as an intra-operative or up to 24-h post-operative pRBC transfusion. We matched patients who underwent peri-operative pRBC transfusion to patients who did not receive transfusion. Length of stay, mortality, and overall morbidity were compared between the two matched cohorts. Results: The match cohort was matched on all pre-operative demographics and medical history variables and yielded 3578 matched patients. Patients who underwent peri-operative pRBC transfusion had a longer length of hospital stay (9.3 days) as compared to patients who did not undergo transfusion (8.13 days) (p &lt; 0.001). Furthermore, patients who underwent transfusion also had higher odds of mortality (OR = 1.934) and overall morbidity (OR = 1.443) (p &lt; 0.03). Specifically, patients who underwent transfusion had higher odds of organ space SSI, pneumonia, unplanned intubation, pulmonary embolism, failure to wean off of ventilator, renal insufficiency, urinary tract infections, stroke, myocardial infarction, cardiac arrest requiring CPR, deep vein thrombosis, and septic shock (p &lt; 0.047). Conclusion: Peri-operative pRBC transfusion in RC was associated with longer hospital stays, significant morbidity, and mortality. For this reason, pre-operative patient optimization and possible alternatives to common pRBC practices should be considered in RC to circumvent complications.

Deadliness of Traumatic Subdural Hematomas in the First Quarter of the Year: A Measurement by the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP).

Background Traumatic acute subdural hematoma (ASDH) is a surgical emergency and has been associated with high morbidity and mortality. However, it is not known whether mortality from ASDH occurs more frequently in a particular season. Methodology We queried the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) from 2016 to 2019. They were identified in the NSQIP using the International Classification of Diseases (ICD-10) code S06.5 to capture all admissions with a primary diagnosis of traumatic subdural hematoma. Mortality rates were reviewed per season, defined as three consecutive months in the year. Demographics such as age, race, ethnicity, height, and weight were reviewed. Comorbidities such as diabetes, risk factors, including smoking history, and hospitalization characteristics, such as admission year, operation year, and inpatient/outpatient treatment type, were also reviewed. Results A total of 1,656 patients were included in this study. The mean age of all participants was 70.6 years, with 37% (604/1,656) being female. The mortality rate was highest in January, February, and March at 24.5% (104/425, P= 0.045) of admitted patients compared to mortality rates of 18.8% (70/373) in April to June, 18.4% (81/441) in July to September, and 17.5% (73/417) in October to December. Conclusions Mortality is significantly greater during the winter months of January, February, and March among patients with ASDH. Despite better survival rates of ASDH over the past two decades, postoperative mortality rates still remain high.

Bariatric surgery is as safe as other common operations: an analysis of the ACS-NSQIP

BackgroundMetabolic and Bariatric Surgery (MBS) is the most effective management for patients with obesity and weight-related medical conditions. Nonetheless, some primary care physicians (PCPs) and surgeons from other specialties are reluctant to refer patients for MBS due to safety concerns. ObjectivesTo compare the outcomes of patients who underwent MBS with those who underwent other common operations. SettingAmerican College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP). MethodsPatients who underwent laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass (RYGB), classified as MBS, were compared to nine frequently performed procedures including hip arthroplasty and laparoscopic cholecystectomy, appendectomy, colectomy, hysterectomy, and hernia repairs, among others. A multivariable logistic regression was constructed to compare outcomes including readmission, reoperation, extended length of stay (ELOS) (>75th percentile or ≥3 days) and mortality. ResultsA total of 1.6 million patients were included, with 11.1% undergoing MBS. The odds of readmission were marginally lower in the cholecystectomy (adjusted odds ratio [aOR] = .88, 95% confidence interval (CI) [.85, .90]) and appendectomy (aOR = .88, 95% CI [.85, .90]) cohorts. Similarly, odds of ELOS were among the lowest, surpassed only by same-day procedures such as cholecystectomies and appendectomies. The MBS group had significantly low odds of mortality, comparable to safe anatomical procedures such as hernia repairs. Infectious and thrombotic complications were exceedingly rare and amongst the lowest after MBS. ConclusionsMBS demonstrates a remarkably promising safety profile and compares favorably to other common procedures in the short-term. PCPs and surgeons from other specialties can confidently refer patients for these low-risk, lifesaving operations.

Risk Factors Associated with Postoperative Outcomes in Diverticular Disease Undergoing Elective Colectomy—A Retrospective Cohort Study from the ACS-NSQIP Database

Recommendations for elective colectomies after recovery from uncomplicated acute diverticulitis should be individualized. The kinds of associated risk factors that should be considered for this approach remain undetermined. The aim of this study was to identify the risk factors associated with postoperative outcomes in patients with diverticular disease after receiving an elective colectomy. This is a retrospective study using the multi-institutional, nationally validated database of the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP). The patients who were diagnosed with diverticular disease and received an elective colectomy were included in our risk factor analyses. Postoperative mortality, morbidity, and overall complications were measured. Univariate and multivariate analyses were used to demonstrate the risk factors. We analyzed 30,468 patients with diverticular disease, 67% of whom received an elective colectomy. The rate of 30-day mortality was 0.2%, and superficial surgical site infection was the most common postoperative morbidity (7.2%) in the elective colectomies. The independent risk factors associated with overall complications were age ≥ 75, BMI ≥ 30, smoking status, dyspnea, hypertension, current kidney dialysis, chronic steroid use, ASA III, and open colectomy. In laparoscopic colectomy, 67.5% of the elective colectomies, the associated risk factors associated with overall complications still included age ≥ 75, smoking, hypertension, chronic steroid use, and ASA III. Identification of patient-specific risk factors may inform the decision-making process for elective colectomy and reduce the postoperative complications after mitigation of those risk factors.

Foot and Ankle Surgery Postoperative Complications with Regional vs General Anesthesia

Category: Trauma; Other Introduction/Purpose: Regional anesthesia has been increasingly used within orthopaedic surgery. It has been found to decrease opioid use and consumption and has been associated with decreased blood loss and clot formation in some lower extremity surgeries – specifically hip and knee arthroplasty surgery. General anesthesia is not without risks including malignant hyperthermia, laryngeal edema, vocal cord trauma, and delirium. This has led to increased utilization of regional anesthesia in foot and ankle surgery. However, there is a paucity of research that compares the postoperative outcomes in patients treated with regional compared to general anesthesia in these surgeries. We hypothesize the use of regional anesthesia in foot and ankle surgery leads to fewer short-term postoperative complications compared to general anesthesia. Methods: The American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried from 2006-2018 to identify patients undergoing foot and ankle surgery. Current Procedural Terminology (CPT) codes for all foot and ankle surgery were utilized to determine which participants to include in the analysis. The cohort was divided into patients who received regional anesthesia versus those who received general anesthesia, and comparisons were made on demographic characteristics, and comorbidities, using chi-squared and t-test analyses. Multivariate logistic regressions were performed to identify whether lack of regional anesthesia was an independent risk factor for infection, minor postoperative complications, and major postoperative complications. Major postoperative complications included any complication that had a long-term effect on someone’s life or led to reoperation, while minor postoperative complications included any event that needed medical intervention but did not impact a person’s health long-term. Results: Using the ACS-NSQIP database and CPT codes, there were 12,764 participants for regional anesthesia and 73,481 participants who had general anesthesia. Utilizing logistic regression, this study found that the absence of regional anesthesia was independently associated with an increased risk for minor complications in foot and ankle surgery (Odds Ratio (OR) 1.34, 95% Confidence Interval (CI) [1.25-1.44], p=0.00). The absence of regional anesthesia was not associated with increased risk of major complications in foot and ankle surgery (OR 1.04, CI [0.96-1.12], p=0.32). Patients who received regional anesthesia were older and had more comorbidities than those without regional anesthesia used which may be a reason for the findings for major complications. Conclusion: Regional anesthesia independently reduced the risk of minor postoperative complications up to 30-days following foot and ankle surgery in this study. Patients undergoing foot and ankle surgery may benefit from augmenting their anesthetic plan with regional anesthesia.

Outcomes of Concurrent Ventral Hernia Repair and Cholecystectomy Compared to Ventral Hernia Repair Alone.

Introduction It has been suggested that hernia repair with concomitant cholecystectomy increases the risk of postoperative complications due to potential mesh contamination. This study compares postoperative outcomes and complications between patients who underwent ventral hernia repair (VHR) with and without concomitant cholecystectomy (CCY). Methods Using the American College of SurgeonsNational Surgical Quality Improvement Program (ACS NSQIP) database,from 2005 to 2019, we queried patients who underwent ventral hernia repairsusing the current procedural terminology (CPT) codes 49652-49657 (laparoscopic) and 49560-49566 (open), with or without cholecystectomy. The ACS NSQIP is a prospective, systematic study of patients who underwent major general surgical procedures aggregating data from over 200 hospitals. Cases involving additional concomitant procedures were excluded. Primary outcomes of interest were 30-day mortality, length of stay, readmission, return to operating room (OR), and postoperative complications. The odds ratio for primary outcomes was calculated using multivariable binomial logistic regression to control for patient risk factors. Results In total, 167586 cases were identified, 165,758 ventral hernia repairs alone, and 1,828 ventral hernia repairs with concomitant cholecystectomy. There was no difference in 30-day mortality, length of stay, readmission, return to the operating room, or postoperative complications between groups. Patients who underwent simultaneous VHR/CCY when compared to those who had VHR alone, had no differences in the rate of surgical site infections (1.86% vs. 1.97%, P = 0.57) orsepsis (0.82% vs. 0.41%, P = 0.10). Conclusion In a large national sample, there is no significant difference in postoperative outcomes, specifically infection-related complications, when comparing VHR along with concurrent VHR/CCY.Our findings suggest no increased risks for patients undergoing concurrent ventral hernia repair and cholecystectomy. Hence, surgeons might consider this combined approach to offer the best value-based care, especially when it could eliminate the need for a second operation and the risk of infection is low. Prospective studies with more procedural-specific information for hernia repairs and indications for cholecystectomy are neededhowever it is likely safe to perform both procedures during the same setting in cholecystectomy cases lacking signs of acute infection.

Causes and Predictors of Unplanned Readmission in Patients Undergoing Intracranial Tumor Resection: A Multicenter Analysis of 31,776 Patients

Although unplanned readmission is a postoperative outcome metric associated with significant morbidity and financial burden, precise assessment tools for its prediction are yet to be developed. The Risk Analysis Index (RAI) could potentially be utilized to help improve prediction unplanned readmission in patients undergoing intracranial tumor resection (ITR). Here we evaluate the predictive accuracy of frailty on 30-day unplanned readmission following ITR using the RAI. Data were obtained from the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database. Baseline characteristics, preoperative clinical status, and outcomes were compared between patients with and without unplanned readmission. Frailty was calculated using the RAI. Univariate and multivariate logistic regression analyses were performed to identify independent associations between unplanned readmissions and patient characteristics. The unplanned readmission rate of this cohort (N=31,776) was 10.8% (N= 3,420). Among the readmitted patients, 958 required unplanned reoperation. Multiple characteristics were significantly different between the readmitted and non-readmitted patients, including age, BMI, comorbidities, and RAI groups (p<0.05). Common causes of unplanned readmission included infection (9.4%), seizures (6%), and pulmonary embolism (4%). Patient characteristics identified as reliable predictors of unplanned readmission, included age, body mass index (BMI), functional status, diabetes, hypertension, hyponatremia, and their RAI score (p<0.05). Frail status, hyponatremia, leukocytosis, hypertension, and thrombocytosis were significant predictors of unplanned readmission. The RAI is a reliable pre-operative frailty index for predicting unplanned readmission following ITR. Utilizing the RAI may decrease unplanned readmission thorough identifying high risk patients, and enabling future implementation of appropriate management guidelines.

Relevance of Uterine Weight for Predicting Surgical Complications in Minimally Invasive Benign Hysterectomy

To describe the uterine weight threshold for increasing risk of complications after a laparoscopic hysterectomy using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. Cross-sectional analysis using the American College of Surgeons NSQIP database from 2016 to 2021. American College of Surgeons NSQIP database. Patients undergoing minimally invasive hysterectomy for benign indications (N=64289). None. Uterine weight was entered in grams and 30-day complications were abstracted from patient charts. In the analytic sample, median uterine weight was 135 grams (interquartile range, 90-215) and 6% of patients (n=4085) experienced complications. Uterine weight performed very poorly in predicting complications on bivariate analysis (area under the receiver operating characteristics curve, 0.53; 95% confidence interval, 0.53-0.54). On multivariable analysis, a uterine weight cutoff of 163 grams was associated with higher odds of complications (odds ratio, 1.11; 95% confidence interval, 1.03-1.19; p=.003), but this threshold achieved only a 43% sensitivity and 62% specificity for predicting complications. Uterine weight alone possessed negligible utility for predicting the risk of perioperative complications in minimally invasive hysterectomy.

Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery

BackgroundThe goal of this study was to investigate factors associated with 30-day readmission in a multivariate model, including the CDC wound classes “clean,” “clean/contaminated,” “contaminated,” and “dirty/infected.”MethodsThe 2017–2020 American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients undergoing total hip replacement, coronary artery bypass grafting, Ivor Lewis esophagectomy, pancreaticoduodenectomy, distal pancreatectomy, pneumonectomy, and colectomies. ACS-defined wound classes were concordant with CDC definitions. Multivariate linear mixed regression was used to determine risk factors for readmission while adjusting for type of surgery as a random intercept.Results477,964 cases were identified, with 38,734 (8.1%) patients having experienced readmission within 30 days of surgery. There were 181,243 (37.9%) cases classified as wound class “clean”, 215,729 (45.1%) cases classified as “clean/contaminated”, 40,684 cases (8.5%) classified as “contaminated”, and 40,308 (8.4%) cases classified as “dirty/infected”. In the multivariate generalized mixed linear model adjusting for type of surgery, sex, body mass index, race, American Society of Anesthesiologists class, presence of comorbidity, length of stay, urgency of surgery, and discharge destination, “clean/contaminated” (p < .001), “contaminated” (p < .001), and “dirty/infected” (p < .001) wound classes (when compared to “clean”) were significantly associated with 30-day readmission. Organ/space surgical site infection and sepsis were among the most common reasons for readmission in all wound classes.ConclusionsWound classification was strongly prognostic for readmission in multivariable models, suggesting that it may serve as a marker of readmissions. Surgical procedures that are “non-clean” are at significantly greater risk for 30-day readmission. Readmissions may be due to infectious complications; optimizing antibiotic use or source control to prevent readmission are areas of future study.

The Effect of Obesity on Distal Radius Fractures: An Analysis from the NSQIP Database.

We performed a retrospective analysis of the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database for surgical DRF patients more than 50 years old from 2015 to 2020. We then stratified patients into class III obese (BMI > 40) and compared the rates of postoperative complications to a control group with BMI less than 40. We included 10,022 patients (570 class III obese vs. 9,452 not class III obese). Patients with class III obesity had significantly increased odds of experiencing any complication (OR 1.906, p<0.001), adverse discharge (OR 2.618, p<0.001), delayed hospital stay of longer than three days (OR 1.91, p<0.001), and longer than seven days (OR 2.943, p<0.001) than controls. They also had increased odds of unplanned reoperation (OR 2.138, p = 0.026) and readmission (OR 2.814, p < 0.001) than non-class III obese patients. Class III obese patients had a significantly longer average operation time (79.5 min vs. 72.2 min, p < 0.001). They also spent more time in the hospital postoperatively (0.86 days vs. 0.57 days, p = 0.001). Class III obese patients undergoing DRF repair are more likely to experience postoperative complications than non-class III obese patients.

Preoperative Frailty Predicts Worse Outcomes after Microvascular Decompression for Trigeminal Neuralgia, Hemifacial Spasm, and Glossopharyngeal Neuralgia: A Multicenter Analysis of 1,473 Patients from a Prospective Surgical Registry

Introduction: Microvascular decompression (MVD) is an efficacious neurosurgical intervention for patients with medically intractable neurovascular compression syndromes. However, MVD may occasionally cause life-threatening or altering complications, particularly in patients unfit for surgical operations. Recent literature suggests a lack of association between chronological age and surgical outcomes for MVD. The Risk Analysis Index (RAI) is a validated frailty tool for surgical populations (both clinical and large database). The present study sought to evaluate the prognostic ability of frailty, as measured by RAI, to predict outcomes for patients undergoing MVD from a large multicenter surgical registry. Methods: The American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database (2011–2020) was queried using diagnosis/procedure codes for patients undergoing MVD procedures for trigeminal neuralgia (n = 1,211), hemifacial spasm (n = 236), or glossopharyngeal neuralgia (n = 26). The relationship between preoperative frailty (measured by RAI and 5-factor modified frailty index [mFI-5]) for primary endpoint of adverse discharge outcome (AD) was analyzed. AD was defined as discharge to a facility which was not home, hospice, or death within 30 days. Discriminatory accuracy for prediction of AD was assessed by computation of C-statistics (with 95% confidence interval) from receiver operating characteristic (ROC) curve analysis. Results: Patients undergoing MVD (N = 1,473) were stratified by RAI frailty bins: 71% with RAI 0–20, 28% with RAI 21–30, and 1.2% with RAI 31+. Compared to RAI score 19 and below, RAI 20 and above had significantly higher rates of postoperative major complications (2.8% vs. 1.1%, p = 0.01), Clavien-Dindo grade IV complications (2.8% vs. 0.7%, p = 0.001), and AD (6.1% vs. 1.0%, p < 0.001). The rate of primary endpoint was 2.4% (N = 36) and was positively associated with increasing frailty tier: 1.5% in 0–20, 5.8% in 21–30, and 11.8% in 31+. RAI score demonstrated excellent discriminatory accuracy for primary endpoint in ROC analysis (C-statistic: 0.77, 95% CI: 0.74–0.79) and demonstrated superior discrimination compared to mFI-5 (C-statistic: 0.64, 95% CI: 0.61–0.66) (DeLong pairwise test, p = 0.003). Conclusions: This was the first study to link preoperative frailty to worse surgical outcomes after MVD surgery. RAI frailty score predicts AD after MVD with excellent discrimination and holds promise for preoperative counseling and risk stratification of surgical candidates. A risk assessment tool was developed and deployed with a user-friendly calculator: <ext-link ext-link-type="uri" xlink:href="https://nsgyfrailtyoutcomeslab.shinyapps.io/microvascularDecompression" xmlns:xlink="http://www.w3.org/1999/xlink">https://nsgyfrailtyoutcomeslab.shinyapps.io/microvascularDecompression</ext-link>.