Association of Safety-Net Hospital Status With Outcomes Following Head and Neck Cancer Operations.

OBJECTIVE: To assess perioperative and readmission outcomes of patients undergoing head and neck cancer (HNCA) surgery at safety-net hospitals (SNHs) in a modern cohort. STUDY DESIGN: Retrospective cohort study. SETTING: Nationwide Readmissions Database (NRD), 2010 to 2019. METHODS: All elective adult (≥18 years) admissions involving HNCA resection were identified from the NRD. To calculate safety-net burden, the proportion of Medicaid or uninsured patients admitted to each hospital for any indication was tabulated annually, with centers in the highest quartile defined as SNHs. To perform risk adjustment in assessing perioperative and readmission outcomes, multivariable regression models were developed. RESULTS: Of an estimated 133,018 head and neck surgical patients, 26.5% (n = 35,268) received treatment at a SNH. Utilization of SNHs increased over the decade-long study period, with 29.8% of individuals treated at these sites in 2019. After multivariable adjustment, several patient factors were noted to be associated with SNHs, including younger age, lower comorbidity burden, and income within the lowest quartile. Although incidence of adverse events decreased at both SNHs and non-SNHs during the study period, treatment at SNHs remained associated with these events after risk adjustment (adjusted odds ratio: 1.17, 95% confidence interval: 1.08-1.28, P < .001). CONCLUSION: SNHs continue to provide valuable specialty care to underserved populations, often with limited financial resources. Despite promising results from prior decades demonstrating comparable perioperative outcomes, the present study noted increased adverse events following HNCA surgery at these sites. Such findings underscore the need for continued advocacy to secure necessary funding for these centers.

Development and Preliminary Assessment of a Machine Learning Model to Predict Myocardial Infarction and Cardiac Arrest After Major Operations.

INTRODUCTION: Accurate prediction of complications often informs shared decision-making. Derived over 10 years ago to enhance prediction of intra/post-operative myocardial infarction and cardiac arrest (MI/CA), the Gupta score has been criticized for unreliable calibration and inclusion of a wide spectrum of unrelated operations. In the present study, we developed a novel machine learning (ML) model to estimate perioperative risk of MI/CA and compared it to the Gupta score. METHODS: Patients undergoing major operations were identified from the 2016-2020 ACS-NSQIP. The Gupta score was calculated for each patient, and a novel ML model was developed to predict MI/CA using ACS NSQIP-provided data fields as covariates. Discrimination (C-statistic) and calibration (Brier score) of the ML model were compared to the existing Gupta score within the entire cohort and across operative subgroups. RESULTS: Of 2,473,487 patients included for analysis, 25,177 (1.0%) experienced MI/CA (55.2% MI, 39.1% CA, 5.6% MI and CA). The ML model, which was fit using a randomly selected training cohort, exhibited higher discrimination within the testing dataset compared to the Gupta score (C-statistic 0.84 vs 0.80, p<0.001). Furthermore, the ML model had significantly better calibration in the entire cohort (Brier score 0.0097 vs 0.0100). Model performance was markedly improved among patients undergoing thoracic, aortic, peripheral vascular and foregut surgery. CONCLUSIONS: The present ML model outperformed the Gupta score in the prognostication of MI/CA across a heterogenous range of operations. Given the growing integration of ML into healthcare, such models may be readily incorporated into clinical practice and guide benchmarking efforts.

The Jarring Reality: Adolescent and Pediatric Gunshot Trauma on the Rise in a Major Urban Institution.

INTRODUCTION: Firearms are the leading cause of death in the pediatric population, and the incidence of firearm injury is on the rise in the United States. The purpose of this study was to examine the incidence of pediatric gunshot wounds (GSWs) in New Orleans from 2012 to 2023 and evaluate factors that contribute to mortality. METHODS: A retrospective analysis of pediatric GSWs was conducted using the trauma database at a Level I trauma center in New Orleans, Louisiana. All patients aged 0 to 18 years with a GSW between January 1, 2012, and January 1, 2023, were evaluated. Demographic data, Injury Severity Score (ISS), hospital length of stay (LOS), discharge disposition, intent of injury, mortality, firearm type, orthopaedic injuries, and related surgical procedures were extracted from the database. Linear regression was used to assess the trend of GSWs over time, and logistic regression was used to identify variables that predicted mortality. Statistical significance was defined as α = 0.05. Geographic information system (GIS) mapping was conducted using the ZIP code location of injury to identify geographic areas with the greatest number of GSWs. RESULTS: A significant increasing trend was observed in the number of pediatric GSWs when adjusted for changes in population (P = 0.014), and the number of GSWs increased 43.2% over the duration of the study. Higher ISS, shorter length of stay, and self-inflicted intent of injury were notable predictors of mortality. Three hundred fifty-four patients (31.4%) had at least one orthopaedic injury, and of the survivors, 365 patients (35.6%) required at least one surgical procedure in the operating room during their admission. DISCUSSION: The number of GSWs in the pediatric population in New Orleans presenting at a large level 1 trauma center demonstrated a statistically significant increasing trend over the past 11 years. ISS and self-inflicted intent were predictive of mortality within this pediatric patient population.

Following Anterior Cruciate Ligament Reconstruction With Bone-Patellar Tendon-Bone Autograft, the Incidence of Anterior Knee Pain Ranges From 5.4% to 48.4% and the Incidence of Kneeling Pain Ranges From 4.0% to 75.6%: A Systematic Review of Level I Studies.

Purpose: To (1) perform a systematic review of level I randomized controlled trials (RCTs) detailing the incidence of anterior knee pain and kneeling pain following anterior cruciate ligament reconstruction (ACLR) with bone-patellar tendon-bone (BPTB) autograft and (2) investigate the effect of bone grafting the patellar harvest site on anterior knee and kneeling pain. Methods: A systematic review of level I studies from 1980 to 2023 was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The primary outcome evaluated was the presence of donor site morbidity in the form of anterior knee pain or kneeling pain. A secondary subanalysis was performed to assess for differences in the incidence of postoperative pain between patient groups undergoing ACLR with BPTB receiving harvest site bone grafting and those in whom the defect was left untreated. Results: Following full-text review, 15 studies reporting on a total of 696 patients met final inclusion criteria. Patients were followed for an average of 4.78 years (range, 2.0-15.3), and the mean age ranged from 21.7 to 38 years old. The incidence of anterior knee pain, calculated from 354 patients across 10 studies, ranged from 5.4% to 48.4%. The incidence of postoperative pain with kneeling was determined to range from 4.0% to 75.6% in 490 patients from 9 studies. Patients treated with bone grafting of the BPTB harvest site had no significant difference in incidence of any knee pain compared with those who were not grafted, with incidences of 43.3% and 40.2%, respectively. Conclusions: Based on the current level I RCT data, the incidences of anterior knee pain and kneeling pain following ACLR with BPTB autograft range from 5.4% to 48.4% and 4.0% to 75.6%, respectively. Level of Evidence: Level I, systematic review of RCTs.

Medial Ulnar Collateral Ligament Reconstruction With Allograft Provides Excellent Clinical Outcomes, High Rates of Return to Play, and a Low Incidence of Postoperative Complications: A Systematic Review.

PURPOSE: To perform a systematic review evaluating clinical outcomes in patients undergoing medial ulnar collateral ligament reconstruction (MUCLR) with soft-tissue allograft. METHODS: A systematic review of the literature was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The primary outcomes evaluated were patient-reported outcome scores, return to play (RTP) rates, incidence of postoperative complications, and rates of graft rupture or mechanical failure. RESULTS: The literature search identified 395 articles, and 5 studies met final inclusion criteria after full-text review. A total of 274 patients were analyzed in the included studies and follow-up ranged from 3.0 to 7.6 years. Two studies (number of patients = 141) reported outcomes exclusively of MUCLR with allograft, whereas 3 studies (number of patients = 133) reported outcomes in patients undergoing MUCLR with either allograft or autograft. Allograft sources included gracilis, semitendinosus, plantaris, peroneus longus, and palmaris longus. Level of patient athletic competition ranged from recreational athletes to the professional level; however, nonathletes in the setting of trauma were also included. The RTP rate after MUCLR with soft-tissue allograft was 95.3%, and 89.3% of patients returned to a similar or greater level of play postoperatively. The Timmerman-Andrews score was reported in 2 studies, and the means postoperatively ranged from 94.55 to 97. Postoperative complication rates were low (range, 0% to 20%), and there were no reported incidences of allograft rupture or mechanical failure. CONCLUSIONS: Based on the available data, soft-tissue allograft for MUCLR in athletic patient populations provides excellent clinical outcomes, high rates of RTP, and low rates of postoperative complications and graft failure at short-term follow-up. There remains a lack of high-quality evidence directly comparing autograft versus allograft outcomes in elite overhead-throwing athletes to support allograft as an acceptable alternative for MUCLR in this patient population. LEVEL OF EVIDENCE: Level IV, systematic review of Level III-IV studies.

Machine learning based predictive modeling of readmissions following extracorporeal membrane oxygenation hospitalizations.

Background: Despite increasing utilization and survival benefit over the last decade, extracorporeal membrane oxygenation (ECMO) remains resource-intensive with significant complications and rehospitalization risk. We thus utilized machine learning (ML) to develop prediction models for 90-day nonelective readmission following ECMO. Methods: All adult patients receiving ECMO who survived index hospitalization were tabulated from the 2016-2020 Nationwide Readmissions Database. Extreme Gradient Boosting (XGBoost) models were developed to identify features associated with readmission following ECMO. Area under the receiver operating characteristic (AUROC), mean Average Precision (mAP), and the Brier score were calculated to estimate model performance relative to logistic regression (LR). Shapley Additive Explanation summary (SHAP) plots evaluated the relative impact of each factor on the model. An additional sensitivity analysis solely included patient comorbidities and indication for ECMO as potential model covariates. Results: Of ∼22,947 patients, 4495 (19.6 %) were readmitted nonelectively within 90 days. The XGBoost model exhibited superior discrimination (AUROC 0.64 vs 0.49), classification accuracy (mAP 0.30 vs 0.20) and calibration (Brier score 0.154 vs 0.165, all P < 0.001) in predicting readmission compared to LR. SHAP plots identified duration of index hospitalization, undergoing heart/lung transplantation, and Medicare insurance to be associated with increased odds of readmission. Upon sub-analysis, XGBoost demonstrated superior disclination compared to LR (AUROC 0.61 vs 0.60, P < 0.05). Chronic liver disease and frailty were linked with increased odds of nonelective readmission. Conclusions: ML outperformed LR in predicting readmission following ECMO. Future work is needed to identify other factors linked with readmission and further optimize post-ECMO care among this cohort.

Clinical and pathological factors associated with survival in patients with pancreatic cancer who receive adjuvant therapy after neoadjuvant therapy: A retrospective multi-institutional analysis.

BACKGROUND: Neoadjuvant therapy is being increasingly used for patients with pancreatic cancer. The role of adjuvant therapy in these patients is unclear. The purpose of this study was to identify clinical and pathologic characteristics that are associated with longer overall survival in patients with pancreatic cancer who receive adjuvant therapy after neoadjuvant therapy. METHODS: This study was conducted using multi-institutional data. All patients underwent surgery after at least 1 cycle of neoadjuvant therapy for pancreatic cancer. Patients who died within 3 months after surgery and were known to have distant metastasis or macroscopic residual disease were excluded. Mann-Whitney U test, χ2 analysis, Kaplan-Meier plot, and univariate and multivariate Cox regression analysis were performed as statistical analyses. RESULTS: In the present study, 529 patients with resected pancreatic cancer after neoadjuvant therapy were reviewed. For neoadjuvant therapy, 177 (33.5%) patients received neoadjuvant chemotherapy, and 352 (66.5%) patients received neoadjuvant chemoradiotherapy. The median duration of neoadjuvant therapy was 7.0 months (interquartile range, 5.0-8.7). Patients were followed for a median of 23.0 months after surgery. Adjuvant therapy was administered to 297 (56.1%) patients and was not associated with longer overall survival for the entire cohort (24 vs 22 months, P = .31). Interaction analysis showed that adjuvant therapy was associated with longer overall survival in patients who received less than 4 months neoadjuvant therapy (hazard ratio 0.40; 95% confidence interval 0.17-0.95; P = .03) or who had microscopic margin positive surgical resections (hazard ratio 0.56; 95% confidence interval 0.33-0.93; P = .03). CONCLUSION: In this retrospective study, there was a survival benefit associated with adjuvant therapy for patients who received less than 4 months of neoadjuvant therapy or had microscopic positive margins.

National outcomes of expedited discharge following esophagectomy for malignancy.

BACKGROUND: Expedited discharge following esophagectomy is controversial due to concerns for higher readmissions and financial burden. The present study aimed to evaluate the association of expedited discharge with hospitalization costs and unplanned readmissions following esophagectomy for malignant lesions. METHODS: Adults undergoing elective esophagectomy for cancer were identified in the 2014-2019 Nationwide Readmissions Database. Patients discharged by postoperative day 7 were considered Expedited and others as Routine. Patients who did not survive to discharge or had major perioperative complications were excluded. Multivariable regression models were constructed to assess association of expedited discharge with index hospitalization costs as well as 30- and 90-day non-elective readmissions. RESULTS: Of 9,886 patients who met study criteria, 34.6% comprised the Expedited cohort. After adjustment, female sex (adjusted odds ratio [AOR] 0.71, p = 0.001) and increasing Elixhauser Comorbidity Index (AOR 0.88/point, p<0.001) were associated with lower odds of expedited discharge, while laparoscopic (AOR 1.63, p<0.001, Ref: open) and robotic (AOR 1.67, p = 0.003, Ref: open) approach were linked to greater likelihood. Patients at centers in the highest-tertile of minimally invasive esophagectomy volume had increased odds of expedited discharge (AOR 1.52, p = 0.025, Ref: lowest-tertile). On multivariable analysis, expedited discharge was independently associated with an $8,300 reduction in hospitalization costs. Notably, expedited discharge was associated with similar odds of 30-day (AOR 1.10, p = 0.40) and 90-day (AOR 0.90, p = 0.70) unplanned readmissions. CONCLUSION: Expedited discharge after esophagectomy was associated with decreased costs and unaltered readmissions. Prospective studies are necessary to robustly evaluate whether expedited discharge is appropriate for select patients undergoing esophagectomy.

Early discharge following colectomy for colon cancer: A national perspective.

BACKGROUND: Although early discharge after colectomy has garnered significant interest, contemporary, large-scale analyses are lacking. OBJECTIVE: The present study utilized a national cohort of patients undergoing colectomy to examine costs and readmissions following early discharge. METHODS: All adults undergoing elective colectomy for primary colon cancer were identified in the 2016-2019 Nationwide Readmissions Database. Patients with perioperative complications or prolonged length of stay (>8 days) were excluded to enhance cohort homogeneity. Patients discharged by postoperative day 3 were classified as Early, and others as Routine. Entropy balancing and multivariable regression were used to assess the risk-adjusted association of early discharge with costs and non-elective readmissions. Importantly, we compared 90-day stroke rates to examine whether our results were influenced by preferential early discharge of healthier patients. RESULTS: Of an estimated 153,996 patients, 45.5% comprised the Early cohort. Compared to Routine, the Early cohort was younger and more commonly male. Patients in the Early group more commonly underwent left-sided colectomy and laparoscopic operations. Following multivariable adjustment, expedited discharge was associated with a $4,500 reduction in costs as well as lower 30-day (adjusted odds ratio [AOR] 0.74, p<0.001) and 90-day non-elective readmissions (AOR 0.74, p<0.001). However, among those readmitted within 90 days, Early patients were more commonly readmitted for gastrointestinal conditions (45.8 vs 36.4%, p<0.001). Importantly, both cohorts had comparable 90-day stroke rates (2.2 vs 2.1%, p = 0.80). CONCLUSIONS: The present work represents the largest analysis of early discharge following colectomy for cancer and supports its relative safety and cost-effectiveness.

Association of time to resection with survival in patients with colon cancer.

PURPOSE: Colon cancer (CC) remains a leading cause of cancer-related mortality worldwide, for which colectomy represents the standard of care. Yet, the impact of delayed resection on survival outcomes remains controversial. We assessed the association between time to surgery and 10-year survival in a national cohort of CC patients. METHODS: This retrospective cohort study identified all adults who underwent colectomy for Stage I-III CC in the 2004-2020 National Cancer Database. Those who required neoadjuvant therapy or emergent resection < 7 days from diagnosis were excluded. Patients were classified into Early (< 25 days) and Delayed (≥ 25 days) cohorts after an adjusted analysis of the relationship between time to surgery and 10-year survival. Survival at 1-, 5-, and 10-years was assessed via Kaplan-Meier analyses and Cox proportional hazard modeling, adjusting for age, sex, race, income quartile, insurance coverage, Charlson-Deyo comorbidity index, disease stage, location of tumor, receipt of adjuvant chemotherapy, as well as hospital type, location, and case volume. RESULTS: Of 165,991 patients, 84,665 (51%) were classified as Early and 81,326 (49%) Delayed. Following risk adjustment, Delayed resection was associated with similar 1-year [hazard ratio (HR) 1.01, 95% confidence interval (CI) 0.97-1.04, P = 0.72], but inferior 5- (HR 1.24, CI 1.22-1.26; P < 0.001) and 10-year survival (HR 1.22, CI 1.20-1.23; P < 0.001). Black race [adjusted odds ratio (AOR) 1.36, CI 1.31-1.41; P < 0.001], Medicaid insurance coverage (AOR 1.34, CI 1.26-1.42; P < 0.001), and care at high-volume hospitals (AOR 1.12, 95%CI 1.08-1.17; P < 0.001) were linked with greater likelihood of Delayed resection. CONCLUSIONS: Patients with CC who underwent resection ≥ 25 days following diagnosis demonstrated similar 1-year, but inferior 5- and 10-year survival, compared to those who underwent surgery within 25 days. Socioeconomic factors, including race and Medicaid insurance, were linked with greater odds of delayed resection. Efforts to balance appropriate preoperative evaluation with expedited resection are needed to optimize patient outcomes.

Association of Inpatient Palliative Care Consultation with Clinical and Financial Outcomes for Pancreatic Cancer.

BACKGROUND: Palliative care consultation (PCC) has been shown to improve quality of life and reduce costs for various chronic life-threatening diseases. Despite PCC incorporation into modern pancreatic cancer care guidelines, limited data regarding its specific utilization and impact on resource use is available. METHODS: The 2016-2020 Nationwide Readmissions Database was used to identify all adult hospitalizations entailing pancreatic cancer. Only patients with at least one readmission within 90 days were included to account for uncaptured out-of-hospital mortality. Multivariable regression models were used to ascertain the relationship between inpatient PCC during initial hospitalization and index as well as cumulative costs, overall length of stay (LOS), readmission rate, and number of repeat hospitalizations. RESULTS: Of an estimated 175,805 patients with pancreatic cancer, 11.1% had inpatient PCC during the index admission. PCC utilization significantly increased from 10.5% in 2016 to 11.6% in 2020 (nptrend < 0.001). After adjustment, PCC was associated with reduced index hospitalization costs [ß: - $1100; 95% confidence interval (CI) - 1500, - 800; P < 0.001] and cumulative 90-day costs (ß: - $11,700; 95% CI - 12,700, - 10,000; P < 0.001). PCC was associated with longer index LOS (ß: + 1.12 days, 95% CI 0.92-1.31, P < 0.001) but significantly reduced cumulative LOS (ß: - 3.16 days; 95% CI - 3.67, - 2.65; P < 0.001). Finally, PCC was linked with decreased odds of 30-day nonelective readmission (AOR: 0.48, 95% CI 0.45-0.50, P < 0.001). DISCUSSION: PCC was associated with decreased costs, readmission rates, and number of hospitalizations among patients with pancreatic cancer. Directed strategies to increase utilization and reduce barriers to consultation should be implemented to encourage practitioners to maximize inpatient PCC referral rates.

Center-Level Variation in Failure to Rescue After Pediatric Cardiac Surgery.

BACKGROUND: Although failure to rescue (FTR) is increasingly recognized as a quality metric, studies in congenital cardiac surgery remain sparse. Within a national cohort of children undergoing cardiac operations, we characterized the presence of center-level variation in FTR and hypothesized a strong association with mortality but not complications. METHODS: All children undergoing congenital cardiac operations were identified in the 2013 to 2019 Nationwide Readmissions Database. FTR was defined as in-hospital death after cardiac arrest, ventricular tachycardia/fibrillation, prolonged mechanical ventilation, pneumonia, stroke, venous thromboembolism, or sepsis, among other complications. Hierarchical models were used to generate hospital-specific, risk-adjusted rates of mortality, complications, and FTR. Centers in the highest decile of FTR were identified and compared with others. RESULTS: Of an estimated 74,070 patients, 1.9% died before discharge, at least 1 perioperative complication developed in 43.0%, and 4.1% experienced FTR. After multilevel modeling, decreasing age, nonelective admission, and increasing operative complexity were associated with greater odds of FTR. Variations in overall mortality and FTR exhibited a strong, positive relationship (r = 0.97), whereas mortality and complications had a negligible association (r = -0.02). Compared with others, patients at centers with high rates of FTR had similar distributions of age, sex, chronic conditions, and operative complexity. CONCLUSIONS: In the present study, center-level variations in mortality were more strongly explained by differences in FTR than complications. Our findings suggest the utility of FTR as a quality metric for congenital heart surgery, although further study is needed to develop a widely accepted definition and appropriate risk-adjustment models.

Center-Level Variation in Hospitalization Costs of Transcatheter Aortic Valve Replacement.

BACKGROUND: Using a nationally representative database, the present study evaluated the degree of center-level variation in the cost of transcatheter aortic valve replacement (TAVR). METHODS: All adults undergoing elective, isolated TAVR were identified in the 2016 to 2018 Nationwide Readmissions Database. Multilevel mixed-effects models were used to identify patient and hospital characteristics associated with hospitalization costs. The random intercept for each hospital was generated and considered to be the baseline cost attributable to care at each center. Hospitals in the highest decile of baseline costs were classified as high-cost hospitals. The association of high-cost hospital status with in-hospital mortality and perioperative complications was subsequently assessed. RESULTS: An estimated 119,492 patients, with a mean age of 80 years and a 45.9% prevalence of female sex, met the study criteria. Analysis of random intercepts indicated that 54.3% of variability in costs was attributable to interhospital differences rather than patient factors. Perioperative respiratory failure, neurologic complications, and acute kidney injury were associated with increased episodic expenditure but did not explain the observed center-level variation. The baseline cost associated with each hospital ranged from -$26,000 to $162,000. Notably, high-cost hospital status was not linked to annual TAVR caseload or to odds of mortality (P = .83), acute kidney injury (P = .18), respiratory failure (P = .32), or neurologic complications (P = .55). CONCLUSIONS: The present analysis identified significant variation in the cost of TAVR, which was largely attributable to center-level rather than patient factors. Hospital TAVR volume and occurrence of complications were not drivers of the observed variation.

Short-Term Outcomes of Expedited Arthroscopic Tensionable Knotless Biologic Tuberoplasty for Massive Irreparable Rotator Cuff Tears.

Background: Massive irreparable rotator cuff tears in the nonarthritic patient are challenging because of the high failure rate and technical difficulty of intraoperative repair. We examined the outcomes of expedited arthroscopic tensionable knotless biologic tuberoplasty for massive irreparable rotator cuff tears. Methods: Eleven patients with an average follow-up of 8.2 months were included in the analysis. Patient-reported outcome measures were the visual analog scale (VAS) pain score, American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form (ASES) score, Single Assessment Numeric Evaluation (SANE) score, and Veterans RAND 12-Item Health Survey (VR-12) physical component score and mental component score. Results: In comparison to the preoperative mean, mean VAS pain scores were significantly reduced at 2 weeks, 6 weeks, 3 months, 6 months, and 1 year. The mean VAS pain scores decreased from 6.9 ± 1.3 preoperatively to 0.2 ± 0.4 at 1 year (P<0.001). Mean ASES scores and SANE scores were both significantly improved at 3 months, 6 months, and 1 year. Mean ASES scores increased from 40.3 ± 17 preoperatively to 93.0 ± 5.5 at 1 year (P=0.001), and mean SANE scores increased from 40.7 ± 23.7 preoperatively to 85.6 ± 8.9 at 1 year (P=0.007). The mean VR-12 physical component score was significantly improved at 6 months and 1 year postoperatively. The mean VR-12 mental component score was clinically improved at 6 months and 1 year postoperatively. Conclusion: Arthroscopic tensionable knotless biologic tuberoplasty is an effective treatment for massive irreparable rotator cuff tears and resulted in statistically significant improvements in VAS pain, ASES, SANE, and the VR-12 physical component scores and clinically significant improvements in the VR-12 mental component score in our patient cohort.

Diagnostic utility of lung ultrasound in predicting the need for surfactant therapy in preterm neonates with respiratory distress.

Background: Lung ultrasound is an accurate and early predictor for surfactant replacement therapy in respiratory distress syndrome (RDS) as compared to clinical parameters and chest x-ray. However, lung pathologies for respiratory distress at birth have overlapping symptomatology and low middle-income countries have a higher incidence of congenital pneumonia, in addition to RDS, making the immediate diagnosis difficult. Thus, there is a need for assessing a cutoff for lung ultrasound scores in the given setting. Objectives: The primary objective was to determine the diagnostic accuracy of the lung ultrasound score (LUS) in predicting the need for surfactant therapy in preterm neonates with respiratory distress. Secondary objectives were to correlate LUS with corresponding oxygen saturation to the fraction of inspired oxygen ratio (SpO2/FiO2), arterial/Alveolar oxygen pressure ratio (a/A), and chest x-ray (CXR) findings. Methodology: A prospective observational study was carried out at a tertiary-level neonatal intensive care unit in India in 2022 enrolling 100 neonates <34 weeks gestational age with respiratory distress at birth. After initial stabilization of the neonate, LUS was performed and baseline parameters were noted. Surfactant was administered as per the 2019 European Consensus guidelines and LUS was repeated after 6 h of therapy. Results: The mean gestation of enrolled neonates was 31.06 ± 2.12 weeks and the mean birthweight was 1,412 ± 391 g. Approximately 58% were diagnosed with RDS and 30% had congenital pneumonia. Surfactant was administered to 40% of neonates. The cutoff LUS for surfactant therapy was 7 [area under the curve (AUC) 0.977; 95% CI, 0.947-1; P < 0.001; with sensitivity 92.5%, specificity 96.67%, PPV 94.87%, and NPV 95.08%] and the cutoff LUS for the second dose of surfactant was 10 (AUC 0.964; 95% CI, 0.913-1; P < 0.001). The score decreased by 3.24 (2.44-4.05) after 6 h of the first dose and correlated significantly with SpO2/FiO2 ratio (-0.750), a/A ratio (-0.650), and CXR findings (0.801). Conclusion: The study predicted an optimal LUS cutoff of 7 and 10 for the need for the first dose of surfactant and re-treatment, respectively, in neonates <34 weeks gestational age with respiratory distress.

Machine Learning Based Prediction of Postoperative Pancreatic Fistula Following Pancreaticoduodenectomy.

OBJECTIVE: To develop a novel machine learning (ML) model to predict clinically relevant postoperative pancreatic fistula (CR-POPF) following pancreaticoduodenectomy (PD). SUMMARY BACKGROUND DATA: Accurate prognostication of CR-POPF may allow for risk stratification and adaptive treatment strategies for potential PD candidates. However, antecedent models, such as the modified Fistula Risk Score (mFRS), are limited by poor discrimination and calibration. METHODS: All records entailing PD within the 2014-2018 ACS NSQIP were identified. Additionally, patients undergoing PD at our institution between 2013 and 2021 were queried from our local data repository. An eXtreme Gradient Boosting (XGBoost) model was developed to estimate the risk of CR-POPF using data from the ACS NSQIP and evaluated using institutional data. Model discrimination was estimated using the area under the receiver operating characteristic (AUROC) and precision recall curve (AUPRC). RESULTS: Overall, 12,281 and 445 patients undergoing PD were identified within the 2014-2018 ACS NSQIP and our institutional registry, respectively. Application of the XGBoost and mFRS scores to the internal validation dataset revealed that the former model had significantly greater AUROC (0.72 vs. 0.68, P<0.001) and AUPRC (0.22 vs. 0.18, P<0.001). Within the external validation dataset, the XGBoost model remained superior to the mFRS with an AUROC of 0.79 (95% CI 0.74-0.84) versus 0.75 (95% CI 0.70-0.80, P<0.001). In addition, AUPRC was higher for the XGBoost model, compared to the mFRS. CONCLUSIONS: Our novel ML model consistently outperformed the previously validated mFRS within internal and external validation cohorts, thereby demonstrating its generalizability and utility for enhancing prediction of CR-POPF.

Randomised controlled trial to compare the effect of PIOMI (structured) and routine oromotor (unstructured) stimulation in improving readiness for oral feeding in preterm neonates.

Background: Oral motor stimulation interventions improve oral feeding readiness and earlier full oral feeding in preterm neonates. However, using a structured method may improve the transition time to full oral feeds and feeding efficiency with respect to weight gain and exclusive breastfeeding when compared to an unstructured intervention. Objective: To compare the effect of Premature Infant Oral Motor Intervention (PIOMI) and routine oromotor stimulation (OMS) on oral feeding readiness. Methods: Randomised controlled trial conducted in a neonatal intensive care unit between June-December 2022. Preterm neonates, 29+0-33+6 weeks corrected gestational age, were studied. The intervention group received PIOMI and the control group received OMS. Primary outcome: time to oral feeding readiness by Premature Oral Feeding Readiness Assessment Scale (POFRAS) score ≥30. Secondary outcomes: time to full oral feeds, duration of hospitalisation, weight gain, and exclusive breastfeeding rates. Results: A total of 84 neonates were included and were randomised 42 each in PIOMI and OMS groups. The mean chronological age and time to oral feeding readiness were lower by 4.6 and 2.7 days, respectively, for PIOMI. The transition time to full oral feeds was 2 days lower for PIOMI and the duration of hospitalisation was 8 days lower. The average weight gain was 4.9 g/kg/day more and the exclusive breastfeeding rates at 1 month and 3 months post-discharge were higher by 24.5% and 27%, respectively, for the PIOMI group. The subgroup analysis of study outcomes based on sex and weight for gestational age showed significant weight gain on oral feeds in neonates receiving PIOMI. Similarly, the subgroup analysis based on gestational age favoured the PIOMI group with significantly earlier transition time and weight gain on oral feeds for the neonates >28 weeks of gestational age. The odds of achieving oral feeding readiness by 30 days [OR 1.558 (0.548-4.426)], full oral feeds by 45 days [OR 1.275 (0.449-3.620)], and exclusive breastfeeding at 1 month [OR 6.364 (1.262-32.079)] and 3 months [3.889 (1.186-12.749)] after discharge were higher with PIOMI. Conclusion: PIOMI is a more effective oromotor stimulation method for earlier and improved oral feeding in preterm neonates. Clinical trial registration: https://ctri.nic.in/Clinicaltrials/pdf_generate.php?trialid=70054&EncHid=34792.72281&modid=1&compid=19','70054det', identifier, CTRI/2022/06/043048.

Impact of delayed intervention following admission for small bowel obstruction: A contemporary analysis.

Background: The optimal timing of surgical intervention for small bowel obstruction (SBO) remains debated. Methods: All adults admitted for SBO were identified in the 2018-2019 National Inpatient Sample. Patients undergoing small bowel resection or lysis of adhesion after three days were considered part of the Delayed cohort. All others were classified as Early. Multivariable regressions were used to assess independent predictors of delayed surgical intervention as well as associations between delayed management and in-hospital mortality, major adverse events (MAE), perioperative complications, postoperative length of stay (LOS), hospitalization costs and non-home discharge. Results: Among 28,440 patients who met study criteria, 52.0 % underwent delayed intervention. Black race (AOR 1.19, 95 % CI 1.03-1.36, ref.: White) and Medicare coverage (AOR 1.16, 95 % CI 1.01-1.33, ref.: private payer) were associated with increased odds of delayed surgical management. While delayed intervention was not significantly associated with death (AOR 1.27, 95 % CI 0.97-1.68), it was linked to greater odds of MAE (AOR 1.30, 95 % CI 1.16-1.45) and several perioperative complications. The Delayed cohort also faced an incremental increase in postoperative LOS (+1.29 days, 95 % CI 0.89-1.70) and hospitalization costs (+$11,000, 95 % CI 10,000-12,000). Moreover, delayed intervention was linked to increased odds of non-home discharge (AOR 1.64, 95 % CI 1.47-1.84). Conclusions: Delay in surgical management following SBO is linked to inferior clinical outcomes and increased resource use. Our findings highlight the need to ensure proper timing of surgery for SBO as well as efforts to standardize these practices across all demographics of patients.