Surgeons-National Quality Improvement Program Research Articles

The Impact of Race/Ethnicity on Disparities in Utilization and Outcomes of Neuraxial Anesthesia for Hip and Femoral Shaft Fractures

Background/Objectives: The use of neuraxial anesthesia versus general anesthesia for hip fracture surgery remains an active area of research, with recent studies demonstrating mixed findings supporting neuraxial over general anesthesia. The benefits of neuraxial anesthesia have been documented in associated surgeries, including total joint arthroplasty. However, racial disparities in the administration of neuraxial anesthesia have been identified in numerous procedures. We aimed to examine the association of race/ethnicity with neuraxial anesthesia use and the effect of neuraxial anesthesia on length of stay, non-home discharge, 30-day severe adverse events, and rates of readmission among patients undergoing isolated hip and femoral shaft fracture operations. Methods: The American College of Surgeons National Quality Improvement Program database was queried for isolated hip or femoral shaft fractures from 2015 to 2019. Stepwise logistic regression was performed to assess the relationship between race/ethnicity and neuraxial anesthesia use. Within each sex–race stratum, neuraxial anesthesia recipients were propensity-matched to general anesthesia recipients in a 1:2 ratio. Logistic regression and negative binomial regression were performed on the propensity-matched cohort. Results: A total of 12,004 neuraxial and 64,250 general anesthesia hip and femoral shaft fracture patients were identified. Compared to White patients, Black and Hispanic patients were between 0.64 and 0.61 times less likely to receive neuraxial anesthesia over general anesthesia, respectively (p < 0.05). 11,993 patients who received neuraxial anesthesia were propensity matched to 23,946 patients who received general anesthesia. Propensity-matched logistic regressions found that neuraxial anesthesia was associated with decreased length of stay, 30-day severe adverse events, and acute rehab/skilled nursing facility discharge for White patients (p < 0.05 for all), but only decreased length of stay in Black and Hispanic patients (p = 0.01 and p = 0.02, respectively). Conclusions: Notable disparities exist in the administration of neuraxial anesthesia for isolated hip and femoral shaft fracture patients. Hispanic and Black race/ethnicity in particular influences provision of neuraxial anesthesia. Further research is required to understand the degree of effect modification and root causes of regional anesthesia access and benefits for this high-volume patient population.

The Impact of Race/Ethnicity on Disparities in Utilization and Outcomes of Neuraxial Anesthesia for Hip and Femoral Shaft Fractures

Background/Objectives: The use of neuraxial anesthesia versus general anesthesia for hip fracture surgery remains an active area of research, with recent studies demonstrating mixed findings supporting neuraxial over general anesthesia. The benefits of neuraxial anesthesia have been documented in associated surgeries, including total joint arthroplasty. However, racial disparities in the administration of neuraxial anesthesia have been identified in numerous procedures. We aimed to examine the association of race/ethnicity with neuraxial anesthesia use and the effect of neuraxial anesthesia on length of stay, non-home discharge, 30-day severe adverse events, and rates of readmission among patients undergoing isolated hip and femoral shaft fracture operations. Methods: The American College of Surgeons National Quality Improvement Program database was queried for isolated hip or femoral shaft fractures from 2015 to 2019. Stepwise logistic regression was performed to assess the relationship between race/ethnicity and neuraxial anesthesia use. Within each sex–race stratum, neuraxial anesthesia recipients were propensity-matched to general anesthesia recipients in a 1:2 ratio. Logistic regression and negative binomial regression were performed on the propensity-matched cohort. Results: A total of 12,004 neuraxial and 64,250 general anesthesia hip and femoral shaft fracture patients were identified. Compared to White patients, Black and Hispanic patients were between 0.64 and 0.61 times less likely to receive neuraxial anesthesia over general anesthesia, respectively (p < 0.05). 11,993 patients who received neuraxial anesthesia were propensity matched to 23,946 patients who received general anesthesia. Propensity-matched logistic regressions found that neuraxial anesthesia was associated with decreased length of stay, 30-day severe adverse events, and acute rehab/skilled nursing facility discharge for White patients (p < 0.05 for all), but only decreased length of stay in Black and Hispanic patients (p = 0.01 and p = 0.02, respectively). Conclusions: Notable disparities exist in the administration of neuraxial anesthesia for isolated hip and femoral shaft fracture patients. Hispanic and Black race/ethnicity in particular influences provision of neuraxial anesthesia. Further research is required to understand the degree of effect modification and root causes of regional anesthesia access and benefits for this high-volume patient population.

Machine learning used to determine features of importance linked to overnight stay after patellar tendon repair

PurposeThe purpose of this study is to determine if machine learning is an effective method to identify features of patients who may need a longer postoperative stay following a patellar tendon repair. MethodsThe American College of Surgeons National Quality Improvement Program (ACS-NSQIP) was used to collect 1173 patients who underwent patellar tendon repair. Machine learning (ML) was then applied to determine features of importance in this patient population. Several algorithms were used: Random Forest, Artificial Neural Network, Gradient Boosting, and Support Vector Machine. These were then compared to the American Society of Anesthesiologists (ASA) classification system based logistic regression as a control. ResultsRandom Forest (RF) was determined to be the best performing algorithm, with an AUC of 0.72, accuracy of 77.66 %, and precision of 0.79, and recall of 0.96. All other algorithms performed similarly to the control. RF gave the highest permutation feature importance to age (PFI 0.25), BMI (PFI 0.19), ASA classification (PFI 0.14), hematocrit (PFI 0.12), and height (PFI 0.11). ConclusionsThis study shows that machine learning can be used as a tool to identify features of importance for length of postoperative stay in patients undergoing patellar tendon repair. RF was found to be a better performing model than logistic regression at determining patients predisposed to longer length of stay as determined by AUC. This supported the study's hypothesis that ML can provide an effective method for identifying features of importance in patients requiring a longer postoperative stay after patellar tendon repair.

Delayed elective total shoulder arthroplasty: causes and eventual outcomes.

The purpose of this study is to identify risk factors for delays in planned total shoulder arthroplasty (TSA) and determine the perioperative outcomes of TSAs that experienced a delay. The American College of Surgeons National Quality Improvement Program (NSQIP) database was queried from 2006 to 2019 for primary TSA. Delayed TSA was defined as surgery that occurred greater than one day after hospital admission. Patient demographics, comorbidities, and post-operative complications were collected and compared; the incidence of delayed TSA was analyzed. The delayed patients were older, had a higher BMI, a higher rate of recent prior major surgery, and more comorbidities. Delayed patients had higher rates of postoperative complications, return to the OR, and 30-day readmission. Between 2006 and 2019, the rate of delayed TSA decreased. Surgeons should take care to ensure that patients with comorbidities undergo thorough preoperative clearance to prevent same-day cancellations and postoperative complications.

Supervised machine learning to predict non-home discharge following surgical treatment of pelvic fractures

Background: Decision-tree-based machine learning (ML) algorithms such as random forest (RF) are useful for their ability to predict outcomes and rank variables according to their utility in the decision-making process. This study utilizes RF to identify important predictors of discharge to facility following surgical stabilization of pelvis fractures, a traumatic injury that often precludes mortality and diminished quality of life. Methods: The American College of Surgeons national surgical quality improvement program (ACS-NSQIP) database was queried for patients aged 16 to 70 undergoing surgical fixation of pelvis fractures between 2008 and 2018. Outcome of interest was discharge home versus to facility. RF was trained with surgical variables, comorbidities, and other patient factors and tasked with predicting discharge location. Permutation feature importance (PFI) was then generated to identify important variables. Results: Out of 492 patients, 184 patients were discharged to facility, and 308 patients were discharged home. RF identified age, American Society of Anesthesiologists (ASA) classification, and preoperative hematocrit as top predictors for discharge to facility. Patients being discharged home were younger, had lower ASA scores, and had higher preoperative hematocrit. Conclusions: RF identified age, ASA classification, and preoperative hematocrit as top predictors for discharge destination following pelvic surgery. Knowledge of the impact of these variables can inform preoperative planning for both patients and their care team, while highlighting the opportunity to address preoperative hematocrit to both reduce cost and improve quality of care.

Surgical and medical outcomes in robotic compared to laparoscopic colectomy global prospective cohort from the American college of surgeons national surgical quality improvement program.

Evidence regarding the outcomes benefits of robotic approach, when compared to a laparoscopic approach, in colectomy remain limited. This study aimed to analyze the value of robotic approach compared to laparoscopic approach in minimally invasive colectomy. Cohort study of the National Surgical Quality Improvement Program (NSQIP). This study included data from the NSQIP from 1/2016 to 12/2021. Adult patients undergoing minimally invasive (laparoscopic or robotic) colorectal surgery. Robotic versus laparoscopic colectomy. Risk ratios for the incidence of medical and surgical morbidity and overall mortality. Compared to laparoscopic, robotic colectomy was associated with a significant decrease in postoperative morbidity [RR 0.84 (95%CI 0.72-0.96), P < 0.001], a significant reduction in postoperative mortality [RR 0.83 (95%CI 0.79-0.90), P 0.010)], and in post operative ileus [RR: 0.80 (95%CI 0.75-0.84), P < 0.001]. Yet, robotic approach was associated with a significant increase in total operative time despite a significant decrease in total length of stay. No benefit was observed regarding anastomotic leak. Observational nature of the study cannot exclude residual bias. In this prospective cohort from the NSQIP, robotic colectomy was associated with a significant reduction in postoperative ileus, unplanned conversion to open surgery, morbidity, and overall mortality when compared to laparoscopic colectomy.

Advancing geriatric surgical outcomes in elective ventral and incisional hernia repair surgeries: An American college of surgeons national surgical quality improvement program study

IntroductionIncreasing age is known to be associated with increased risk for postoperative morbidity and mortality, however, the goal of this study was to determine if an increase in age correlates to differences in surgical outcomes for elective ventral hernia repair. MethodsRetrospective cohort study using American College of Surgeons NSQIP database from 2016 to 2020. Included diagnosis codes were laparoscopic or open incisional or ventral hernia repairs, categorized into three age groups: 18-64y, 65-74y, and ≥75y. Thirty-day perioperative outcomes analyzed using bivariate χ2 test and multivariate logistic regression. ResultsWe identified 116,643 people who had elective ventral or incisional hernia repair. Compared to 18-64y and 65-74y age groups, patients ≥75y were significantly more likely to develop any post-operative complication, be re-admitted post-operatively for any reason, have an extended hospital stay, and require a reoperation. ConclusionsPatients ≥75y have significantly higher rates of perioperative complications after elective hernia repair compared to younger patients.

Multiplicative effect of frailty and obesity on postoperative mortality following spine surgery: a deep dive into the frailty, obesity, and Clavien-Dindo dynamic.

Obesity is a global health challenge that affects a large proportion of adults worldwide. Obesity and frailty pose considerable health risks due to their potential to interact and amplify one another's negative effects. Therefore, we sought to compare the discriminatory thresholds of the risk analysis index (RAI), 5-factor modified frailty index (m-FI-5) and patient age for the primary endpoint of postoperative mortality. We included spine surgery patients ≥18 years old, from the American College of Surgeons National Quality Improvement program database from 2012-2020, that were classified as obese. We performed receiver operating characteristic curve analysis to compare the discrimination threshold of RAI, mFI-5, and patient age for postoperative mortality. Proportional hazards risk-adjusted regressions were performed, and Hazard ratios and corresponding 95% Confidence intervals (CI) are reported. Overall, there were 149 163 patients evaluated, and in the ROC analysis for postoperative mortality, RAI showed superior discrimination C-statistic 0.793 (95%CI: 0.773-0.813), compared to mFI-5 C-statistic 0.671 (95%CI 0.650-0.691), and patient age C-statistic 0.686 (95%CI 0.666-0.707). Risk-adjusted analyses were performed, and the RAI had a stepwise increasing effect size across frailty strata: typical patients HR 2.55 (95%CI 2.03-3.19), frail patients HR 3.48 (95%CI 2.49-4.86), and very frail patients HR 4.90 (95%CI 2.87-8.37). We found increasing postoperative mortality effect sizes within Clavein-Dindo complication strata, consistent across obesity categories, exponentially increasing with frailty, and multiplicatively enhanced within CD, frailty and obesity strata. In this study of 149 163 patients classified as obese and undergoing spine procedures in an international prospective surgical database, the RAI demonstrated superior discrimination compared to the mFI-5 and patient age in predicting postoperative mortality risk. The deleterious effects of frailty and obesity were synergistic as their combined effect predicted worse outcomes.

Quality of Surgical Care Within the Criminal Justice Health Care System

Individuals who are incarcerated represent a vulnerable group due to concerns about their ability to provide voluntary and informed consent, and there are considerable legal protections regarding their participation in medical research. Little is known about the quality of surgical care received by this population. To evaluate perioperative surgical care provided to patients who are incarcerated within the Texas Department of Criminal Justice (TDCJ) and compare their outcomes with that of the general nonincarcerated population. This cohort study analyzed data from patients who were incarcerated within the TDCJ and underwent general or vascular surgery at the University of Texas Medical Branch (UTMB) from 2012 to 2021. Case-specific outcomes for a subset of these patients and for patients in the general academic medical center population were obtained from the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) and compared. Additional quality metrics (mortality index, length of stay index, and excess hospital days) from the Vizient Clinical Data Base were analyzed for patients in the incarcerated and nonincarcerated groups who underwent surgery at UTMB in 2020 and 2021 to provide additional recent data. Patient-specific demographics, including age, sex, and comorbidities were not available for analysis within this data set. Perioperative outcomes (30-day morbidity, mortality, and readmission rates) were compared between the incarcerated and nonincarcerated groups using the Fisher exact test. The sample included data from 6675 patients who were incarcerated and underwent general or vascular surgery at UTMB from 2012 to 2021. The ACS-NSQIP included data (2012-2021) for 2304 patients who were incarcerated and 602 patients who were not and showed that outcomes were comparable between the TDCJ population and that of the general population treated at the academic medical center with regard to 30-day readmission (6.60% vs 5.65%) and mortality (0.91% vs 1.16%). However, 30-day morbidity was significantly higher in the TDCJ population (8.25% vs 5.48%, P = .01). The 2020 and 2021 data from the Vizient Clinical Data Base included 629 patients who were incarcerated and 2614 who were not and showed that the incarcerated and nonincarcerated populations did not differ with regard to 30-day readmission (12.52% vs 11.30%) or morbidity (1.91% vs 2.60%). Although the unadjusted mortality rate was significantly lower in the TDCJ population (1.27% vs 2.68%, P = .04), mortality indexes, which account for case mix index, were similar between the 2 populations (1.17 vs 1.12). Findings of this cohort study suggest that patients who are incarcerated have equivalent rates of mortality and readmission compared with a general academic medical center population. Future studies that focus on elucidating the potential factors associated with perioperative morbidity and exploring long-term surgical outcomes in the incarcerated population are warranted.

Employing machine learning to predict adverse acute post-surgical outcomes following elective ulnar collateral ligament reconstruction

Background: Ulnar collateral ligament reconstruction ameliorates valgus elbow instability in various patient populations, including overhead athletes, patients with acute UCL rupture following high energy trauma, and those with chronic, subclinical elbow laxity. This study aims to explore machine learning algorithms to identify risk factors in patients undergoing elective UCL reconstruction in the ambulatory setting to predict postoperative outcomes. Methods: RStudio was used to create a filtering code to identify adult patients who underwent elective UCL reconstruction from 2008 to 2018 in the American college of surgeons national surgical quality improvement program database. Patients were analyzed using six ML algorithms, which were trained to predict outcomes such as extended length of stay, non-home discharge, and adverse events based on various patient characteristics and surgical variables. Algorithmic performance was then assessed and top performing algorithms underwent further analysis to determine relative feature importance using a permutation feature importance method. Results: ML exhibited excellent performance in predicting LOS, with an average AUC of 0.953, similar to that of logistic regression. Regarding NHD, ML demonstrated a 60.8% increase in AUC compared to LR. In predicting AAE, ML achieved an average AUC that was 12.7% higher than LR. Conclusions: The highly predictive capability of ML indicates the possibility to represent a procedure-specific complementary tool for the preoperative risk stratification process. This study provides a comprehensive analysis of UCL reconstruction in the management and outcomes of any patient, regardless of age or activity level.

Baseline labs predict adverse postoperative outcomes following metastatic brain tumor resection: Analysis of 5943 patients from a prospective surgical registry (2015–2019)

IntroductionThe present study sought to evaluate the predictive accuracy of preoperative lab values (PLV) on postoperative metastatic brain tumor resection (MBTR) outcomes using data queried from a large prospective international surgical registry, representing over 700 hospitals in 11 countries. MethodsAdult metastatic brain tumor patients (N = 5943) were queried from the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database, from 2015 to 2019, using diagnostic and procedural coding. The relationship between preoperative lab values and key indicators of adverse postoperative outcomes following metastatic brain tumor resection were assessed with univariate and multivariate analyses. Adverse postoperative outcomes of interest included: 30-day mortality, Clavien-Dindo Grade IV (CDIV) complications, extended length of stay (eLOS), and discharge to non-home destination (NHD), as well as secondary outcomes: non-Clavien-Dindo Grade IV complications, unplanned reoperation, and unplanned readmission. ResultsIndependent PLV most strongly associated with 30-day mortality were hypernatremia, increased serum creatinine, and thrombocytopenia. Significant predictors of CDIV complications were hypoalbuminemia and thrombocytopenia. eLOS was associated with hypoalbuminemia, anemia, and hyponatremia. The strongest independent predictors of NHD were anemia, hyperbilirubinemia, and hypoalbuminemia. ConclusionSeveral pre-operative lab values independently predicted worse outcomes for metastatic brain tumor resection patients. Hypoalbuminemia, thrombocytopenia, and anemia had the strongest association with the study's adverse postoperative outcomes. These baseline lab values may be considered for preoperative risk stratification of metastatic brain tumor patients.

Assessment of Risk Factors for Iatrogenic Genitourinary Injuries During a Proctectomy.

It is critical to avoid iatrogenic injuries affecting genitourinary organs in order to prevent postoperative urinary or sexual dysfunction, which lead to lengthier recovery and possibly reoperation. Using the 2016-2019 American College of Surgeons National Quality Improvement Program (ACS NSQIP) Targeted Proctectomy Database, we collated 2577 patients with non-metastatic rectal cancer who underwent a laparoscopic or open proctectomy. Univariate analysis was used to identify differences in perioperative factors and genitourinary injuries (GUIs) between operative approaches, and multivariate logistic regression was used to identify independent risk factors for sustaining an intraoperative GUI. The rates of preoperative comorbidities were significantly higher among patients who received an open operation. The proportion of GUIs was also significantly higher in this patient population. Multivariate logistic regression demonstrated that patients who underwent a laparoscopic proctectomy were associated with a 51.4% lower risk of sustaining a GUI. Furthermore, >10% body weight loss in the past 6 months and ASA class 3 status were independently associated with a higher risk of GUI regardless of operation type. Patients who undergo a laparoscopic proctectomy are associated with a lower risk of GUI. On the other hand, patients with >10% body weight loss and ASA class 3: Severe Systemic Disease were associated with a higher risk of GUI.

Implementation of a Multispecialty Geriatric Surgery Pathway Reduces Inpatient Cost for Frail Patients.

The objective of this study was to evaluate the effect of geriatric surgical pathway (GSP) implementation on inpatient cost of care. Achieving high-value care for older patients is the goal of the American College of Surgeons Geriatric Verification Program (ACS-GSV). We have previously shown that implementation of our geriatric surgery pathway, which aligns with the ACS-GSV standards, resulted in a reduction in loss of independence and complications. Patients ≥65 years who underwent an inpatient elective surgical procedure included in the American College of Surgeons National Quality Improvement Program (ACS NSQIP) registry from July 2016 through December 2017 were compared with those patients from February 2018 to December 2019 who were cared for on our GSP. An amalgamation of Clinformatics DataMart, the electronic health record, and the ACS NSQIP registry produced the analytical dataset. We compared mean total and direct costs of care for the entire cohort as well as through propensity matching of frail surgical patients to account for differences in clinical characteristics. The total mean cost of health care services during hospitalization was significantly lower in the cohort on our GSP ($23,361±$1110) as compared with the precohort ($25,452±$1723), P <0.001. On propensity-matched analysis, cost savings was more evident in our frail geriatric surgery patients. This study shows that high-value care can be achieved with the implementation of a GSP that aligns with the ACS-GSV program.

The Mediating Effect of Operative Approach on Racial Disparities in Bariatric Surgery Complications

IntroductionA laparoscopic approach to bariatric surgeries confers a favorable side-effect profile as compared to an open approach. However, literature regarding the independent association of race with access to and postoperative outcomes in laparoscopic Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (GS) is scarce. Materials and methodsAll RYGB and GS cases recorded in American College of Surgeons National Quality Improvement Program data from 2012 to 2020 were subjected to propensity score matching to assess the independent association between Black self-identified race on access to a laparoscopic approach and postoperative complications. Finally, a series of logistic regressions enabled evaluation of the mediating effect of operative approach on racial disparities in postoperative complications. Results55,846 cases of RYGB and 94,209 cases of GS were identified. Following propensity score matching, logistic regression identified Black race as an independent predictor of open approach to RYGB (P < 0.001) and GS (P = 0.019). Black patients had increased incidence of any, minor and severe postoperative complications and unplanned readmissions in both RYGB (P < 0.001, P < 0.001, P = 0.0412, and P < 0.001, respectively) and GS (P < 0.001, P < 0.001, P = 0.0037, and P < 0.001, respectively). Open approach to RYGB was identified as a partial mediator of the independent association between Black race and any complication, minor complications, and unplanned readmission. ConclusionsThis methodology identified racial disparities in complications following RYGB and GS. Interestingly, reduced access to a laparoscopic approach mediated racial disparities in complications following RYGB but not GS. Further research might elucidate upstream determinants of health that catalyze these disparities.

Accounting for age in prediction of discharge destination following elective lumbar fusion: a supervised machine learning approach

BACKGROUND CONTEXTThe number of elective spinal fusion procedures performed each year continues to grow, making risk factors for post-operative complications following this procedure increasingly clinically relevant. Nonhome discharge (NHD) is of particular interest due to its associations with increased costs of care and rates of complications. Notably, increased age has been found to influence rates of NHD. PURPOSETo identify aged-adjusted risk factors for nonhome discharge following elective lumbar fusion through the utilization of Machine Learning-generated predictions within stratified age groupings. STUDY DESIGNRetrospective Database Study. PATIENT SAMPLEThe American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database years 2008 to 2018. OUTCOME MEASURESPostoperative discharge destination. METHODSACS-NSQIP was queried to identify adult patients undergoing elective lumbar spinal fusion from 2008 to 2018. Patients were then stratified into the following age ranges: 30 to 44 years, 45 to 64 years, and ≥65 years. These groups were then analyzed by eight ML algorithms, each tasked with predicting post-operative discharge destination. RESULTSPrediction of NHD was performed with average AUCs of 0.591, 0.681, and 0.693 for those aged 30 to 44, 45 to 64, and ≥65 years respectively. In patients aged 30 to 44, operative time (p<.001), African American/Black race (p=.003), female sex (p=.002), ASA class three designation (p=.002), and preoperative hematocrit (p=.002) were predictive of NHD. In ages 45 to 64, predictive variables included operative time, age, preoperative hematocrit, ASA class two or class three designation, insulin-dependent diabetes, female sex, BMI, and African American/Black race all with p<.001. In patients ≥65 years, operative time, adult spinal deformity, BMI, insulin-dependent diabetes, female sex, ASA class four designation, inpatient status, age, African American/Black race, and preoperative hematocrit were predictive of NHD with p<.001. Several variables were distinguished as predictive for only one age group including ASA Class two designation in ages 45 to 64 and adult spinal deformity, ASA class four designation, and inpatient status for patients ≥65 years. CONCLUSIONSApplication of ML algorithms to the ACS-NSQIP dataset identified a number of highly predictive and age-adjusted variables for NHD. As age is a risk factor for NHD following spinal fusion, our findings may be useful in both guiding perioperative decision-making and recognizing unique predictors of NHD among specific age groups.

Decreasing use of pancreatic necrosectomy and NSQIP predictors of complications and mortality

BackgroundSurgical pancreatic necrosectomy (SPN) is an option for the management of infected pancreatic necrosis. The literature indicates that an escalating, combined endoscopic, interventional radiology and minimally invasive surgery “step-up” approach, such as video-assisted retroperitoneal debridement, may reduce the number of required SPNs and ICU complications, such as multiple organ failure. We hypothesized that complications for surgically treated severe necrotizing pancreatitis patients decreased during the period of adoption of the “step-up” approach.MethodsThe American college of surgeons national surgery quality improvement program database (ACS-NSQIP) was used to find SPN cases from 2007 to 2019 in ACS-NSQIP submitting hospitals. Mortality and Clavien-Dindo class 4 (CD4) ICU complications were collected. Predictors of outcomes were identified by univariate and multivariate analyses.ResultsThere were 2457 SPN cases. SPN cases decreased from 0.09% in 2007 to 0.01% in 2019 of NSQIP operative cases (p < 0.001). Overall mortality was 8.5% and did not decrease with time. CD4 complications decreased from 40 to 27% (p < 0.001). There was a 65% reduction in SPN cases requiring a return to the operating room. Multivariate predictors of complications were emergency general surgery (EGS, p < 0.001), serum albumin (p < 0.0001) and modified frailty index (mFI) (p < 0.0001). Multivariate predictors of mortality were EGS (p < 0.0001), serum albumin (p < 0.0001), and mFI (p < 0.04). The mFI decreased after 2010 (p < 0.001).ConclusionSPNs decreased after 2010, with decreasing CD4 complications, decreasing reoperation rates and stable mortality rates, likely indicating broad adoption of a “step-up” approach. Larger, prospective studies to compare indications and outcomes for “step up” versus open SPN are warranted.

Use of random forest machine learning algorithm to predict short term outcomes following posterior cervical decompression with instrumented fusion

Random Forest (RF) is a widely used machine learning algorithm that can be utilized for identification of patient characteristics important for outcome prediction. Posterior cervical decompression with instrumented fusion (PCDF) is a procedure for the management of cervical spondylosis, cervical spinal stenosis, and degenerative disorders that can cause cervical myelopathy or radiculopathy. An RF algorithm was employed to predict and describe length of stay (LOS), readmission, reoperation, transfusion, and infection rates following elective PCDF using The American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database 2008 through 2018. The RF algorithm was tasked with determining the importance of independent clinical variables in predicting our outcomes of interest and importance of each variable based on the reduction in the Gini index. Application of an RF algorithm to the ACS-NSQIP database yielded a highly predictive set of patient characteristics and perioperative events for five outcomes of interest related to elective PCDF. These variables included postoperative infection, increased age, BMI, operative time, and LOS, and decreased preoperative hematocrit and white blood cell count. Risk factors that were predictive for rate of reoperation, readmission, hospital length of stay, transfusion requirement, and post-operative infection were identified with AUC values of 0.781, 0.791, 0.781, 0.902, and 0.724 respectively. Utilization of these findings may assist in risk analysis during the perioperative period and may influence clinical or surgical decision-making.

8681 Complications Among Patients Undergoing Mesh Graft Revision Surgery: A Retrospective Cohort Study of the NSQIP Database

<h3>Study Objective</h3> To compare complication rates among patients having urogynecology surgery for revision of a mesh graft placed for management of pelvic organ prolapse. <h3>Design</h3> A retrospective, population-based cohort study was conducted using the American College of Surgeons National Quality Improvement Program (NSQIP) database. A multivariable logistic regression analysis adjusting for age, race, smoking status, ASA category and concomitant procedures was completed. The outcomes were a composite of complications excluding urinary tract infections (UTI), and hospital readmission within 30 days. <h3>Setting</h3> Inpatient and outpatient mesh revision surgeries performed at community and academic hospitals captured in the NSQIP database from 2012 to 2019. <h3>Patients or Participants</h3> Patients undergoing mesh graft revision by urology or gynecology were classified into vaginal, abdominal or laparoscopic approach using Common Procedural Technology (CPT) codes. Patients having revision of a mid-urethral sling were excluded. <h3>Interventions</h3> Mesh graft revision surgery by vaginal, abdominal or laparoscopic approach <h3>Measurements and Main Results</h3> Of 1692 eligible patients, 1561 underwent vaginal, 74 underwent abdominal, and 57 underwent laparoscopic approach graft revision. The complication rate, excluding UTI, was 4.6% in the vaginal approach group, 12.2% in the abdominal approach group and 12.3% in the laparoscopic approach group (p<0.001). Compared to a vaginal approach, the abdominal approach group had higher odds of complications (abdominal: adjusted OR 2.76, 95% CI 1.30 – 5.83; laparoscopic: adjusted OR 1.86, 95% CI 0.73 – 4.72). The abdominal and laparoscopic groups had higher odds of readmission compared to the vaginal approach group (abdominal: adjusted OR 3.11, 95% CI 1.15 – 8.40; laparoscopic: adjusted OR 6.57, 95% CI 2.22 – 19.40). Clavien-Dindo IV complications were rare and only seen after vaginal surgery (0.4%, n=6). <h3>Conclusion</h3> Short term complications were uncommon after vaginal mesh graft revision surgery, and less common than following an abdominal approach.

Comorbidities Associated With Increased Likelihood of Postoperative Surgical Site Infection in Patients Treated for Hand or Finger Fracture and/or Dislocations.

We aimed to determine the relationship between common preoperative comorbidities and subsequent incidence of postoperative surgical site infections (SSIs) in hand and finger fractures and/or dislocations. We queried the American College of Surgeons National Safety and Quality Improvement Program from January 1, 2015 to December 31, 2019. Patients were included in our study if they were treated by open or percutaneous fixation for any hand or finger fracture and/or dislocation. Predictor variables were smoking status, diabetes mellitus status, and obesity (body mass index > 30) status. Primary outcome was incidence of postoperative SSI. There were a total of 9245 patients included in our study, and 148 patients (1.6%) experienced postoperative SSI. Of these, 59 patients (39.9%) were only smokers, 7 patients (4.7%) only had diabetes mellitus, and 55 patients (37.2%) were only obese. Overall, patients experienced greater odds of sustaining a postoperative SSI if they were a smoker or diabetic compared to non-smokers and non-diabetics, respectively. Considering only open fixation modality, patients with comorbidities were not at significantly increased odds of sustaining postoperative SSI. Considering only percutaneous fixation modality, patients experienced significantly greater odds of sustaining postoperative SSI if they were a smoker compared to non-smoker. Common preoperative comorbidities, including smoking status and diabetes mellitus, increase the likelihood of postoperative complication in patients with hand and finger fractures and/or dislocations undergoing surgical treatment. Further investigation into the different relationship of these comorbidities between open and closed fractures with larger sample sizes will be valuable.

Racial disparities in minimally invasive esophagectomy and gastrectomy for upper GI malignancies.

Esophageal cancer and gastric cancer are two important causes of upper GI malignancies. Literature has shown that minimally invasive esophagectomies (MIE) and gastrectomies (MIG), have shorter length of stay and fewer complications. However, limited literature exists about the association between race and access to MIE and MIG. This study aims to identify the racial disparities in the different approaches to esophagectomy and gastrectomy. We further evaluate the relationship between the race and postoperative complications. This IRB-approved retrospective study utilized data from the American College of Surgeons National Quality Improvement Program. All recorded cases of MIE, MIG, open gastrectomy, and esophagectomy between 2012 and 2019 were isolated. Propensity score matching and univariate analysis was performed to assess the independent effect of black self-identified race on access and outcomes. p < 0.05 was required to achieve statistical significance. 7891 cases of esophagectomy and 5,132 cases of gastrectomy cases were identified. Using Propensity and logistic regression, we identified that black self-reported race is an independent predictor of open approach to gastrectomy (OR 1.6871943, 95% CI 1.431464-1.989829, p < 0.001). Black self-reported race was not predictive of operative approach among esophagectomy patients (OR 0.7942576, 95% CI 0.5698645-1.124228, p = 0.183). In contrast, black self-reported is an independent predictor of postoperative complications among esophagectomy patients only. Esophagectomy patients of black self-reported race were more likely to experience any complication (OR 1.4373437, 95% CI 1.1129239-1.8557096, p = 0.00537), severe complications (OR 1.3818966, 95% CI 1.0653087-1.7888454, p = 0.0144), and death (OR 2.00779762, 95% CI 1.08034921-3.56117535, p = 0.0211) within 30days of their surgeries. Our analysis revealed a significant racial disparity in access to MIG and a higher incidence of post-operative complications amongst esophagectomy patients. Minimally invasive techniques are underutilized in racial minorities. The findings herein warrant further investigation to eliminate barriers and disparities.