The 5-Factor Modified Frailty Index is a Concise and Effective Predictor of 30-Day Adverse Outcomes in Carotid Endarterectomy.

INTRODUCTION: Frailty is a clinically identifiable condition characterized by heightened vulnerability. The 5-item Modified Frailty Index provides a concise calculation of frailty that has proven effective in predicting adverse perioperative outcomes across a variety of surgical disciplines. However, there is a paucity of research examining the validity of 11-item Modified Frailty Index (mFI-5) in carotid endarterectomy (CEA). This study aimed to investigate the association between mFI-5 and 30-day outcomes of CEA. METHODS: Patients underwent CEA were identified from American College of Surgeons National Surgical Quality Improvement Program targeted database from 2012 to 2021. Patients with age<18 were excluded. Patients were stratified into four cohorts based on their mFI-5 scores: 0, 1, 2, or 3+. Multivariable logistic regression was used to compare 30-day perioperative outcomes adjusting for preoperative variables with P value<0.1. RESULTS: Compared to controls (mFI-5 = 0), patients mFI-5 = 1 had higher risk of stroke (adjusted odds ratio [aOR] = 1.333, P = 0.02), unplanned operation (aOR = 1.38, P < 0.01), and length of stay (LOS) > 7 days (aOR = 0.814, P < 0.01). Patients with mFI-5 = 2 had higher stroke (aOR = 1.719, P < 0.01), major adverse cardiovascular events (MACE) (aOR = 1.315, P = 0.01), sepsis (aOR = 2.243, P = 0.01), discharge not to home (aOR = 1.200, P < 0.01), 30-day readmission (aOR = 1.405, P < 0.01). Compared with controls, patients with mFI-5≥3 had higher mortality (aOR = 1.997 P = 0.02), MACE (aOR = 1.445, P = 0.03), cardiac complications (aOR = 1.901, P < 0.01), pulmonary events (aOR = 2.196, P < 0.01), sepsis (aOR = 3.65, P < 0.01), restenosis (aOR = 2.606, P = 0.02), unplanned operation (aOR = 1.69, P < 0.01), LOS>7 days (aOR = 1.425, P < 0.01), discharge not to home (aOR = 2.127, P < 0.01), and 30-day readmission (aOR = 2.427, P < 0.01). CONCLUSIONS: The mFI-5 is associated with 30-day mortality and complications including stroke, MACE, cardiac complications, pulmonary complications, sepsis, and restenosis. Additionally, elevated mFI-5 scores correlate with an increased likelihood of unplanned operations, extended LOS, discharge to facilities other than home, and 30-day readmissions, all of which could negatively impact long-term prognosis. Therefore, mFI-5 can serve as a concise yet effective metric of frailty in patients undergoing CEA.

The deimplementation of laboratory testing in low-risk patients as recommended by the American society of anesthesiologists: An ACS-NSQIP longitudinal analysis.

BACKGROUND: In 2012, the American Society of Anesthesiologists (ASA) published guidelines recommending against routine preoperative laboratory testing for low-risk patients to reduce unnecessary medical expenditures. The aim of this study was to assess the change in routine preoperative laboratory testing in low-risk versus higher-risk patients before and after release of these guidelines. METHODS: The ACS-NSQIP database, 2005-2018, was separated into low-risk versus higher-risk patients based upon a previously published stratification. The guideline implementation date was defined as January 2013. Changes in preoperative laboratory testing over time were compared between low- and higher-risk patients. A difference-in-differences model was applied. The primary outcome included any laboratory test obtained ≤90 days prior to surgery. RESULTS: Of 7,507,991 patients, 972,431 (13.0%) were defined as low-risk and 6,535,560 (87.0%) higher-risk. Use of any preoperative laboratory test declined in low-risk patients from 66.5% before to 59.6% after guidelines, a 6.9 percentage point reduction, versus 93.0%-91.9% in higher-risk patients, a 1.1 percentage point reduction (p < 0.0001, comparing percentage point reductions). After risk-adjustment, the adjusted odds ratio for having any preoperative laboratory test after versus before the guidelines was 0.77 (95% CI 0.76-0.78) in low-risk versus 0.93 (0.92-0.94) in higher-risk patients. In low-risk patients, lack of any preoperative testing was not associated with worse outcomes. CONCLUSIONS: While a majority of low-risk patients continue to receive preoperative laboratory testing not recommended by the ASA, there has been a decline after implementation of guidelines. Continued effort should be directed at the deimplementation of routine preoperative laboratory testing for low-risk patients.

Mortality and failure-to-rescue after esophagectomy in the procedure-targeted National Surgical Quality Improvement Program registry.

BACKGROUND: The association between procedural volume and esophagectomy outcomes has been established, but the relationship between higher levels of care and esophagectomy outcomes has not been explored. This study aims to investigate whether hospital participation in the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) esophagectomy-targeted registry is associated with superior outcomes. METHODS: The 2016-2020 ACS NSQIP standard and esophagectomy-targeted registries were queried. Esophagectomy outcomes were analyzed overall and stratified by esophagectomy type (Ivor Lewis vs. transhiatal vs. 3-field McKeown). RESULTS: A total of 2181 and 5449 esophagectomy cases were identified in the standard and targeted databases (68% Ivor Lewis esophagectomy). The median age was 65 years and 80% were male. Preoperative characteristics were largely comparable. On univariate analysis, targeted hospitals were associated with lower mortality (2% vs. 4%, p < 0.01) and failure-to-rescue rates (11% vs. 17%, p < 0.01), higher likelihood of an optimal outcome (62% vs. 58%, p = 0.01), and shorter hospital stay (median 9 vs. 10 days, p < 0.01). On multivariable analysis, Ivor Lewis esophagectomy at targeted centers was associated with reduced odds of mortality [odds ratio (OR) 0.57 and 95% confidence intervals 0.35-0.90] and failure-to-rescue [OR 0.54 (0.33-0.90)] with no difference in serious morbidity or optimal outcome. There was no statistically significant difference in odds of mortality or failure to rescue in targeted versus standard centers when performing transhiatal or McKeown esophagectomy. CONCLUSIONS: Esophagectomy performed at hospitals participating in the targeted ACS NSQIP is associated with roughly half the risk of mortality compared to the standard registry. The factors underlying this relationship may be valuable in quality improvement.

Evaluation of the American College of Surgeons risk calculator in hepatectomy for metastatic colorectal cancer in a Southeast Asian population.

PURPOSE: This study evaluated the accuracy of the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) calculator in predicting outcomes after hepatectomy for colorectal cancer (CRC) liver metastasis in a Southeast Asian population. METHODS: Predicted and actual outcomes were compared for 166 patients undergoing hepatectomy for CRC liver metastasis identified between 2017 and 2022, using receiver operating characteristic curves with area under the curve (AUC) and Brier score. RESULTS: The ACS-NSQIP calculator accurately predicted most postoperative complications (AUC > 0.70), except for surgical site infection (AUC = 0.678, Brier score = 0.045). It also exhibited satisfactory performance for readmission (AUC = 0.818, Brier score = 0.011), reoperation (AUC = 0.945, Brier score = 0.002), and length of stay (LOS, AUC = 0.909). The predicted LOS was close to the actual LOS (5.9 vs. 5.0 days, P = 0.985). CONCLUSION: The ACS-NSQIP calculator demonstrated generally accurate predictions for 30-day postoperative outcomes after hepatectomy for CRC liver metastasis in our patient population.

Gynecomastia Surgery in 4996 Male Patients Over 14 Years: A Retrospective Analysis of Surgical Trends, Predictive Risk Factors, and Short-Term Outcomes.

BACKGROUND: The high prevalence of benign male breast tissue enlargement (gynecomastia) has resulted in a marked increase of gynecomastia cases. While about one third of male adults experience some form of gynecomastia, gynecomastia surgery (GS) outcome research is limited to small study populations and single-center/-surgeon databases. In this study, we aimed to access the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database to identify preoperative risk factors for complications and investigate postoperative outcomes of GS. METHODS: In this retrospective study, we queried the ACS-NSQIP database from 2008 to 2021 to identify male adult patients who underwent GS. Postoperative outcomes involved the occurrence of any, surgical and medical complications, as well as reoperation, readmission, and mortality within a 30-day postoperative time period. Univariable and multivariable assessment were performed to identify risk factors for complications while adjusting for possible confounders. RESULTS: The study included 4,996 GS patients with a mean age of 33.7 ± 15 years and BMI of 28.2 ± 5.1 kg/m2. White patients constituted 54% (n = 2713) of the cohort, and 27% (n = 1346) were obese. Except for 2020, there was a steady increase in GS cases over the study period. Outpatient surgeries were most common at 95% (n = 4730), while general surgeons performed the majority of GS (n = 3580; 72%). Postoperatively, 91% (n = 4538) of patients were discharged home; 4.4% (n = 222) experienced any complications. Multivariable analysis identified inpatient setting (p < 0.001), BMI (p = 0.023), prior sepsis (p = 0.018), and bleeding disorders (p = 0.047) as independent risk factors for complications. CONCLUSION: In this study, we analyzed 4996 male adult GS patients from the ACS-NSQIP database, revealing an increased caseload and significant general surgeon involvement. Risk factors like bleeding disorders, inpatient status, and prior sepsis were linked to postoperative complications, while BMI was crucial for predicting adverse events. Overall, our findings may aid in enhancing patient care through advanced preoperative screening and closer perioperative management. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Surgical Management of Breast Capsular Contracture-A Multi-institutional Data Analysis of Risk Factors for Early Complications.

BACKGROUND: Capsular contracture (CC) is a common complication following implant-based breast surgery, often requiring surgical intervention. Yet, little is known about risk factors and outcomes following CC surgery. METHODS: We reviewed the American College of Surgeons National Surgical Quality Improvement Program database (2008-2021) to identify female patients diagnosed with CC and treated surgically. Outcomes of interest included the incidence of surgical and medical complications at 30-days, reoperations, and readmissions. Confounder-adjusted multivariable analyses were performed to establish risk factors. RESULTS: 5,057 patients with CC were identified (mean age: 55 ± 12 years and mean body mass index [BMI]: 26 ± 6 kg/m2). While 2,841 (65%) women underwent capsulectomy, capsulotomy was performed in 742 patients (15%). Implant removal and replacement were recorded in 1,160 (23%) and 315 (6.2%) cases, respectively. 319 (6.3%) patients experienced postoperative complications, with 155 (3.1%) reoperations and 99 (2.0%) readmissions. While surgical adverse events were recorded in 139 (2.7%) cases, 86 (1.7%) medical complications occurred during the 30 day follow-up. In multivariate analyses, increased BMI (OR: 1.04; p = 0.009), preoperative diagnosis of hypertension (OR: 1.48; p = 0.004), and inpatient setting (OR: 4.15; p < 0.001) were identified as risk factors of complication occurrence. CONCLUSION: Based on 14 years of multi-institutional data, we calculated a net 30 day complication rate of 6.3% after the surgical treatment of CC. We identified higher BMI, hypertension, and inpatient setting as independent risk factors of postoperative complications. Plastic surgeons may wish to integrate these findings into their perioperative workflows, thus optimizing patient counseling and determining candidates' eligibility for CC surgery. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Evaluation of the ACS NSQIP surgical risk calculator in patients undergoing common bile duct exploration.

PURPOSE: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator is a risk stratification tool to help predict risks of postoperative complications, which is important for informed decision-making. The purpose of this study was to evaluate the accuracy of the calculator in predicting postoperative complications in patients undergoing common bile duct (CBD) exploration. METHODS: A retrospective chart review was completed for 305 patients that underwent open and laparoscopic CBD exploration at a single institution from 2010 to 2018. Patient demographics and preoperative risk factors were entered into the calculator, and the predicted complication risks were compared with observed complication rates. Brier score, C-statistic, and Hosmer-Lemeshow regression analysis were used to assess discrimination and calibration. RESULTS: The observed rate exceeded the predicted rate for any complication (35.1% vs. 21%), return to operating room (5.9% vs. 3.6%), death (3.3% vs. 1%), and sepsis (3% vs. 2.4%). The model performed best in predicting serious complication (Brier 0.087, C-statistic 0.818, Hosmer-Lemeshow 0.695), surgical site infection (Brier 0.068, C-statistic 0.670, Hosmer-Lemeshow 0.292), discharge to rehabilitation facility (Brier 0.041, C-statistic 0.907, Hosmer-Lemeshow 0.638), and death (Brier 0.028, C-statistic 0.898, Hosmer-Lemeshow 0.004). In multivariable analysis, there was no statistically significant predicted complication type that affected the type of surgery. CONCLUSION: The calculator was accurate in predicting serious complication, surgical site infection, discharge to rehabilitation facility, and death. However, the model displayed poor predictive ability in all other complications that were analyzed.

Body Mass Index Greater Than 46 Associated With Increased Risk of 30 Day Complications Following Adult Tonsillectomy: A Retrospective Cohort Study.

Background: The study aimed to identify data-driven body mass index (BMI) thresholds that are associated with varying risk of 30 day complications following adult tonsillectomy. Methods: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was utilized to conduct a retrospective cohort analysis of patients undergoing adult tonsillectomy from 2005 to 2019. Stratum-specific likelihood ratio (SSLR) analysis was conducted to determine data-driven BMI strata that maximized the likelihood of 30 day complications following adult tonsillectomy. Patient demographics and clinical comorbidities were compared using chi-squared analysis and student t tests, where appropriate, for each stratum. Multivariable regression analysis was conducted to confirm association between identified data-driven strata with 30 day complication rates. Results: In total, 44,161 patients undergoing adult tonsillectomy were included in this study. SSLR analysis identified 2 BMI categories: 18 to 45 and 46+. Relative to the 18 to 45 BMI cohort, the 46+ BMI cohort was more likely to have 30 day all-cause complications after surgery [odds ratio (OR): 1.62, P = .007]. Specifically, the 46+ BMI cohort had significantly higher odds for 30 day major medical complications (OR: 2.86, P = .001), pulmonary domain complications (OR: 1.86, P = .041), unplanned reintubation (OR: 2.65, P = .033), and deep vein thrombosis (OR: 6.54, P = .026). Conclusions: We identified a BMI threshold of 46+ that was associated with a significantly increased risk of 30 day all-cause complications following adult tonsillectomy. These BMI strata can guide preoperative planning and risk-stratifying models for predicting 30 day complications in tonsillectomy surgery.

Hypoalbuminemia improves the ACS-NSQIP surgical risk calculator for gastrectomy.

BACKGROUND: The ACS-NSQIP Surgical Risk Calculator (SRC) is used to predict surgical outcomes, but its accuracy in gastrectomy has been questioned.1,2 We investigated if adding hypoalbuminemia enhances its predictive ability in gastrectomy. METHODS: We identified gastrectomy patients from the ACS-NSQIP database from 2005 to 2019. We constructed pairs of logistic regression models: one with the existing 21 preoperative risk factors from the SRC and another with the addition of hypoalbuminemia. We evaluated improvement using Likelihood Ratio Test (LRT), Brier scores, and c-statistics. RESULTS: Of 18,070 gastrectomy patients, 34.5 â€‹% had hypoalbuminemia. Hypoalbuminemia patients had 2.34 higher odds of mortality and 1.79 higher odds of morbidity. Adding hypoalbuminemia to the RC model statistically improved predictions for mortality, cumulative morbidity, pulmonary, renal, and wound complications (LRT p â€‹< â€‹0.001). It did not improve predictions for cardiac complications (LRT p â€‹= â€‹0.11) CONCLUSION: Hypoalbuminemia should be considered as an additional variable to the ACS-NSQIP SRC for gastrectomy.

The ACS-NSQIP Analysis of Negative Pressure Wound Therapy Following Pancreatectomy for Pancreatic Diagnoses.

Introduction Surgical site infections (SSIs) continue to be a challenging issue among patients undergoing pancreatectomy. Anecdotally, the use of negative pressure wound therapy (NPWT) following pancreatectomy for cancer has been associated with decreased SSIs. The objective of this study was to compare the postoperative outcomes of NPWT and non-NPWT for incisional wound care following distal pancreatectomy or pancreatoduodenectomy for pancreatic diagnoses using a national surgical database. Methods The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) was queried from 2005 to 2019 for patients undergoing distal pancreatectomy or pancreaticoduodenectomy for pancreatic diagnoses using primary Current Procedural Terminology (CPT) codes. The primary outcome was surgical site infection rates between NPWT and non-NPWT patient groups. Secondary outcomes include sepsis, septic shock, readmission, and reoperation. Outcomes of interest were compared using multivariate logistic regression. Results A total of 54,457 patients underwent pancreatectomy with 131 receiving NPWT. Multivariate analysis, while accounting for patient characteristics, including wound classification, showed no difference in postoperative superficial SSI, deep SSI, sepsis, septic shock, or readmission between the NPWT and non-NPWT groups. Organ space SSI was higher in the NPWT group (21% vs 12%, p=0.001). Reoperation related to procedure was also high in the NPWT group (14% vs 4.3%, p<0.001). Conclusion The use of NPWT in distal pancreatectomies and pancreatoduodenectomies is associated with increased organ space SSIs and reoperation rates, with no difference in superficial SSI, deep SSI, or readmission. This large sample study shows no significant benefit of using NPWT incisional wound care after pancreatectomy.

Isolated and combined breast augmentation in transgender patients: Multi-institutional insights into early outcomes and risk factors.

BACKGROUND: The increasing demand for gender-affirming surgery (GAS) in transgender and gender-diverse healthcare highlights the importance of breast augmentation surgery (BAS) for transfeminine patients. Despite its significance, there is a lack of research on postoperative outcomes of BAS. METHODS: We analyzed the multi-institutional American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) (2008-2021) database to identify female transgender individuals (TGIs) who underwent BAS surgery, both isolated and combined with concurrent GAS procedures. We evaluated 30-day outcomes, including the incidence of mortality, reoperation, readmission as well as surgical and medical complication occurrence. RESULTS: Of 1699 female TGIs, 92% underwent isolated BAS and 7.7% underwent combined BAS. The mean age and body mass index (BMI) were 36 ± 12 years and 27 ± 6.6 kg/m2, respectively. Isolated BAS showed a 2.8% complication rate, while combined BAS had a higher rate with 9.1%. Specifically, all complications occurred in patients undergoing BAS with concurrent genitourinary surgery (n = 85; 14%), whereas no adverse events were recorded after combined BAS and facial feminization (n = 19) or chondrolaryngoplasty (n = 19). In patients seeking combined BAS, advanced age (p = 0.05) and nicotine abuse (p = 0.004) were identified as risk factors predisposing to adverse events, whereas American Society of Anesthesiology class 1 was found to be protective (p = 0.02). CONCLUSIONS: Isolated BAS in TGIs demonstrates a positive safety profile. Combined surgeries, particularly with genitourinary procedures, pose higher risks. Identifying risk factors such as smoking and advanced age is crucial for patient selection and surgical planning. These findings can aid in refining patient eligibility and inform surgical decision-making for BAS.

Head-to-Head Comparison: P-POSSUM and ACS-NSQIP® in Predicting Perioperative Risk in Robotic Surgery for Gynaecological Cancers.

Purpose: In this retrospective pilot study, we aim to evaluate the accuracy and reliability of the P-POSSUM and ACS-NSQIP surgical risk calculators in predicting postoperative complications in gynaecological-oncological (GO) robotic surgery (RS). Methods: Retrospective data collection undertaken through a dedicated GO database and patient notes at a tertiary referral cancer centre. Following data lock with the actual post-op event/complication, the risk calculators were used to measure predictive scores for each patient. Baseline analysis of 153 patients, based on statistician advice, was undertaken to evaluate P-POSSUM and ACS-NSQIP validity and relevance in GO patients undergoing RS performed. Results: P-POSSUM reports on mortality and morbidity only; ACS-NSQIP reports some individual complications as well. ACS-NSQIP risk prediction was most accurate for venous thromboembolism (VTE) (area under the curve (AUC)-0.793) and pneumonia (AUC-0.657) and it showed 90% accuracy in prediction of five major complications (Brier score 0.01). Morbidity was much better predicted by ACS-NSQIP than by P-POSSUM (AUC-0.608 vs. AUC-0.551) with the same result in mortality prediction (Brier score 0.0000). Moreover, a statistically significant overestimation of morbidity has been shown by the P-POSSUM calculator (p = 0.018). Conclusions: Despite the limitations of this pilot study, the ACS-NSQIP risk calculator appears to be a better predictor of major complications and mortality, making it suitable for use by GO surgeons as an informed consent tool. Larger data collection and analyses are ongoing to validate this further.

Inter-rater reliability of ACS-NSQIP colorectal procedure coding in Canada.

BACKGROUND: The American College of Surgeons National Surgical Quality Improvement Project (ACS-NSQIP) uses Current Procedural Terminology (CPT) codes for risk-adjusted calculations. This study evaluates the inter-rater reliability of coding colorectal resections across Canada by ACS-NSQIP surgical clinical nurse reviewers (SCNR) and its impact on risk predictions. METHODS: SCNRs in Canada were asked to code simulated operative reports. Percent agreement and free-marginal kappa correlation were calculated. The ACS-NSQIP risk calculator was utilized to illustrate its impact on risk prediction. RESULTS: Responses from 44 of 150 (29.3 â€‹%) SCNRs revealed 3 to 6 different codes chosen per case, with agreement ranging from 6.7 â€‹% to 62.3 â€‹%. Free-marginal kappa correlation ranged from moderate agreement (0.53) to high disagreement (-0.17). ACS-NSQIP risk calculator predicted large absolute differences in risk for serious complications (0.2 â€‹%-13.7 â€‹%) and mortality (0.2 â€‹%-6.3 â€‹%). CONCLUSION: This study demonstrated low inter-rater reliability in coding ACS-NSQIP colorectal procedures in Canada among SCNRs, impacting risk predictions.

Unplanned returns to the operating room: a quality improvement methodology for the comparison of institutional outcomes to national benchmarks.

OBJECTIVE: Unplanned returns to the operating room (RORs) constitute an important quality metric in surgical practice. In this study, the authors present a methodology to compare a department's unplanned ROR rates with national benchmarks in the context of large-scale quality of care surveillance. METHODS: The authors identified unplanned RORs within 30 days from the initial surgery at their institution during the period 2014-2018 using an institutional documentation platform that facilitates the collection of reoperation information by providers in the clinical setting. They divided the procedures into 28 groups by Current Procedural Terminology and International Classification of Diseases, 9th and 10th Revision codes. They estimated national benchmarks of unplanned RORs for these procedure groups via querying the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) registry during the period 2014-2018. Finally, they numerically assessed the unplanned ROR rates at their institution compared with those calculated from the ACS NSQIP registry. RESULTS: Using the above methodology, the authors were able to classify 12,575 of the cases performed in their department during the period of interest, including 6037 (48%) cranial cases and 6538 (52%) spinal or peripheral nerve cases. Among those, 161 (1.3%) presented with complications that required an unplanned ROR within 30 days from the initial surgery. The respective cumulative unplanned ROR rate in the ACS NSQIP registry during the same timeframe was 3.6%. Among 15 categories of cranial procedures, the cumulative unplanned ROR rate was 1.3% in the authors' department and 5.6% in the ACS NSQIP registry. Among 13 categories of spinal and peripheral nerve procedures, the cumulative unplanned ROR rate was 1.3% in the authors' department and 2.8% in the ACS NSQIP registry. Unplanned ROR rates at the authors' institution were lower than the national average for each of the 28 procedure groups of interest. Yearly analysis of institutional ROR rates for the five most commonly performed procedures showed lower reoperation rates compared with the national benchmarks. CONCLUSIONS: Using an institutional documentation tool and a widely available national database, the authors developed a reproducible and standardized method of comparing their department's outcomes with national benchmarks per procedure subgroup. This methodology accommodates longitudinal quality surveillance across the different subspecialties in a neurosurgical department and may illuminate potential shortcomings of care delivery in the future.

Are children with unilateral sensorineural hearing loss receiving cochlear implants?

INTRODUCTION: The US Food and Drug Administration (FDA) granted its first approval for cochlear implants (CI) in children with bilateral sensorineural hearing loss (SNHL) in 1990. In 2019, the FDA expanded CI indications to include children with unilateral SNHL. OBJECTIVE: The aim of this study was to assess the prevalence of children with unilateral SNHL in the population of new pediatric CI recipients between 2012 and 2021. METHODS: A retrospective analysis using the American College of Surgeons National Surgical Quality Improvement Pediatric database examined patients under 18 years of age with bilateral or unilateral SNHL who underwent CI between 2012 and 2021. Current Procedural Terminology code 69930 identified patients with 'cochlear device implantation, with or without mastoidectomy.' The percentage of children undergoing CI for unilateral versus bilateral SNHL during the study period was calculated and subjected to statistical analysis. RESULTS: 9863 pediatric CI patients were included with a mean age of 5.1 (95 % CI 5.1-5.2) years at the time of implantation. 7.5 % (N = 739) of patients had unilateral SNHL and 92.5 % (N = 9124) had bilateral SNHL. Children with bilateral SNHL undergoing CI were significantly younger (5.0 years versus 6.9 years for those with unilateral SNHL, p < .001). There was a statistically significant difference in the percentage of children receiving CI for unilateral versus bilateral SNHL (3.3 % in 2012 to 14.3 % in 2021, p < .001) before and after the FDA changes. CONCLUSIONS: The proportion of CIs placed for unilateral SNHL has increased annually even before 2019 when the FDA expanded its CI indications to include children with unilateral SNHL for the first time.

Predictors of 30-Day Mortality and Morbidity Following Craniotomy for Traumatic Brain Injury: An ACS NSQIP Database Analysis.

Traumatic brain injury (TBI) is the leading cause of death among trauma patients. Identifying preoperative factors that predict postoperative outcomes in such patients can guide surgical decision-making. The aim of this study was to develop a predictive model using preoperative variables that predicts 30-day mortality and morbidity in patients undergoing neurosurgery following TBI. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was queried between 2005 and 2017 for patients aged 18 years or older who underwent TBI-specific surgery. The primary outcome was 30-day mortality, and the secondary outcome was a composite morbidity score. Significant variables on univariate analysis with Chi-squared test were used to compute multivariable logistic regression models for both outcomes, and Hosmer-Lemeshow test was used. A total of 1634 patients met the inclusion criteria. Most patients were elderly aged >60 years (74.48%), male (63.59%), of White race (73.62%), and non-Hispanic ethnicity (82.44%). The overall 30-day mortality rate was 20.3%. Using multivariate logistic regression, 11 preoperative variables were significantly associated with 30-day mortality, including (aOR, 95% CI) age 70-79 years (3.38, 2.03-5.62) and age >80 years (7.70, 4.74-12.51), ventilator dependency (6.04, 4.21-8.67), receiving dialysis (4.97, 2.43-10.18), disseminated cancer (4.42, 1.50-13.0), and coma >24 hours (3.30, 1.40-7.80), among others. Similarly, 12 preoperative variables were found to be significantly associated with 30-day morbidity, including acute renal failure (7.10, 1.91-26.32), return to OR (3.82, 2.77-5.27), sepsis (3.27, 1.11-9.66), prior operation within 30 days (2.55, 1.06-4.95), and insulin-dependent diabetes (1.60, 1.06-2.40), among others. After constructing receiver operating characteristic curve, the model for mortality had an area under the curve (AUC) of 0.843, whereas composite morbidity had an AUC of 0.716. This model can aid in clinical decision-making for triaging patients based on prognosis in cases of mass casualty events.

Comparison of Acute Physiology and Chronic Health Evaluation (APACHE) II and American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) scoring system in predicting postoperative mortality in patients undergoing emergency laparotomy: A retrospective study.

Background and Aims: There is paucity of studies on preoperative risk assessment tools in patients undergoing emergency surgery. The present study evaluated the performance of the Acute Physiology and Chronic Health Evaluation (APACHE) II, American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator and American Society of Anesthesiologists (ASA) physical status (PS) classification system in patients undergoing emergency exploratory laparotomy. Methods: This retrospective study included 60 adult patients who underwent emergency exploratory laparotomy for perforation peritonitis. The clinical details, ASA PS classification, laboratory investigations and postoperative course of patients were retrieved from their medical records. Based on these details, APACHE II and ACS-NSQIP were calculated for the patients. The study's primary outcome was the accuracy of the preoperative APACHE II, ACS-NSQIP risk calculator and ASA PS class in predicting the postoperative 30-day mortality of patients. Results: The area under the curve (AUC) of APACHE II, ACS-NSQIP score, and ASA PS classification for mortality 30 days after surgery was 0.737, 0.694 and 0.601, respectively. The P value for the Hosmer-Lemeshow (H-L) test of scoring systems was 0.05, 0.25 and 0.05, respectively. AUC for postoperative complications was 0.799 for APACHE II, 0.683 for ACS-NSQIP and 0.601 for ASA PS classification. H-L test of these scoring systems for complications after surgery revealed P values of 0.62, 0.36 and 0.53, respectively. Conclusion: Compared to the ACS-NSQIP and ASA PS classification system, the APACHE II score has a better discriminative ability for postoperative complications and mortality in adult patients undergoing emergency exploratory laparotomy.

Validity of the ACS NSQIP surgical risk calculator as a tool to predict postoperative outcomes in subacute orthopedic trauma diagnoses.

Purpose: This retrospective study aimed to validate the ACS NSQIP Surgical Risk Calculator (SCR) to predict 30-day postoperative outcomes in patients with one of the following subacute orthopedic trauma diagnoses; multiple rib fractures, pelvic ring/acetabular fracture, or unilateral femoral fracture. Methods: Data of patients with these diagnoses treated between January 1, 2015 and September 19, 2020 were extracted from the patients' medical files. Diagnostic performance, discrimination, calibration, and accuracy of the ACS NSQIP SRC to predict specific outcomes developing within 30 days after surgery was determined. Results: The total cohort of the three diagnoses consisted of 435 patients. ACS NSQIP SRC underestimated the risk for serious complications, especially in patients with multiple rib fractures (8.3% predicted vs 17.2% observed) or pelvic ring/acetabular fracture (6.1% vs 19.8%). Underestimation was more pronounced for the composite outcome 'any complication'. Sensitivity ranged from 16.7% to 100% and specificity from 41.1% to 97.1%. Specificity exceeded sensitivity for pelvic ring/acetabular and femoral fractures. Discrimination was good for predicting death (femoral fracture), fair for readmission (femoral fracture), serious complication (multiple rib fractures), and any complication (multiple rib fractures), but poor in all other outcomes and diagnoses. Calibration and accuracy were adequate for all three diagnoses (p-value for Hosmer-Lemeshow test >0.05 and Brier scores <0.25). Conclusion: Performance of the ACS NSQIP SRC in the studied cohort was variable for all three diagnoses. Although it underestimated the risk of most outcomes, calibration and accuracy seemed generally adequate. For most outcomes, adequate diagnostic performance and discrimination could not be confirmed.

The efficacy of the National Surgical Quality Improvement Program surgical risk calculator in head and neck surgery: A meta-analysis.

BACKGROUND: The National Surgical Quality Improvement Program surgical risk calculator (SRC) estimates the risk for postoperative complications. This meta-analysis assesses the efficacy of the SRC in the field of head and neck surgery. METHODS: A systematic review identified studies comparing the SRC's predictions to observed outcomes following head and neck surgeries. Predictive accuracy was assessed using receiver operating characteristic curves (AUCs) and Brier scoring. RESULTS: Nine studies totaling 1774 patients were included. The SRC underpredicted the risk of all outcomes (including any complication [observed (ob) = 35.9%, predicted (pr) = 21.8%] and serious complication [ob = 28.7%, pr = 17.0%]) except mortality (ob = 0.37%, pr = 1.55%). The observed length of stay was more than twice the predicted length (p < 0.02). Discrimination was acceptable for postoperative pneumonia (AUC = 0.778) and urinary tract infection (AUC = 0.782) only. Predictive accuracy was low for all outcomes (Brier scores ≥0.01) and comparable for patients with and without free-flap reconstructions. CONCLUSION: The SRC is an ineffective instrument for predicting outcomes in head and neck surgery.

The Accuracy of the NSQIP Universal Surgical Risk Calculator Compared to Operation-Specific Calculators.

Objective: To compare the performance of the ACS NSQIP "universal" risk calculator (N-RC) to operation-specific RCs. Background: Resources have been directed toward building operation-specific RCs because of an implicit belief that they would provide more accurate risk estimates than the N-RC. However, operation-specific calculators may not provide sufficient improvements in accuracy to justify the costs in development, maintenance, and access. Methods: For the N-RC, a cohort of 5,020,713 NSQIP patient records were randomly divided into 80% for machine learning algorithm training and 20% for validation. Operation-specific risk calculators (OS-RC) and OS-RCs with operation-specific predictors (OSP-RC) were independently developed for each of 6 operative groups (colectomy, whipple pancreatectomy, thyroidectomy, abdominal aortic aneurysm (open), hysterectomy/myomectomy, and total knee arthroplasty) and 14 outcomes using the same 80%/20% rule applied to the appropriate subsets of the 5M records. Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPRC), and Hosmer-Lemeshow (H-L) P values, for 13 binary outcomes, and mean squared error for the length of stay outcome. Results: The N-RC was found to have greater AUROC (P = 0.002) and greater AUPRC (P < 0.001) compared to the OS-RC. No other statistically significant differences in accuracy, across the 3 risk calculator types, were found. There was an inverse relationship between the operation group sample size and magnitude of the difference in AUROC (r = -0.278; P = 0.014) and in AUPRC (r = -0.425; P < 0.001) between N-RC and OS-RC. The smaller the sample size, the greater the superiority of the N-RC. Conclusions: While operation-specific RCs might be assumed to have advantages over a universal RC, their reliance on smaller datasets may reduce their ability to accurately estimate predictor effects. In the present study, this tradeoff between operation specificity and accuracy, in estimating the effects of predictor variables, favors the N-R, though the clinical impact is likely to be negligible.