The Changing Faces of Leadership in Surgery: Study on Presidents of Major Surgical Organizations.

INTRODUCTION: To gain an understanding of the changing faces of leadership in surgery, we examined trends in the demographics, additional degrees pursued, and scientific publication characteristics of the past presidents of three major surgery organizations. METHODS: We queried the BoardCertifiedDocs and Web of Science databases for the demographics, as well as the quantity and quality of publications, of the past presidents of the Association for Academic Surgery, Society of University Surgeons, and American College of Surgeons from 1970 to 2020. Data were analyzed by decade to identify any trends. RESULTS: We identified a total of 140 presidents from the organizations. The proportion of female presidents significantly increased from the 1990s to the 2010s (10% versus 33%, P < 0.05). The percentage of non-White presidents increased from the 1970s to the 2010s (3.33% versus 21.2%, P = 0.024). The percentage of presidents with additional degrees also increased from the 1970s to the 2010s (10.0% versus 48.8%, P = 0.039). During this same time period, the most common area of expertise of presidents shifted from cardiothoracic surgery to surgical oncology. The ratio of presidents' postinduction to preinduction publications was significantly increased among all three organizations in the 2010s compared to the 1970s (P < 0.05). Co-cluster analysis revealed a research topic change from the 1970s to the 2010s. CONCLUSIONS: The faces of surgical leadership have changed in terms of gender equality, racial diversity, surgical subspecialty, and additional degrees held. Such a transformation mirrors evolving diversity, equity, and inclusion initiatives, and it further highlights the adaptability of surgical leadership to the ever-changing landscape of surgery.

Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery and assess case-mix-adjusted performance after benchmark procedures. We extend this methodology to provide interpretable, easily accessible, and actionable hospital performance analysis across all procedures. METHODS: The European Congenital Heart Surgeons Association Congenital Cardiac Database data subset of 172,888 congenital cardiac surgical procedures performed in European centers between 1989 and 2022 was analyzed. OCT models (decision trees) were built predicting hospital mortality (area under the curve [AUC], 0.866), prolonged postoperative mechanical ventilatory support time (AUC, 0.851), or hospital length of stay (AUC, 0.818), thereby establishing case-adjusted benchmarking standards reflecting the overall performance of all participating hospitals, designated as the "virtual hospital." OCT analysis of virtual hospital aggregate data yielded predicted expected outcomes (both aggregate and for risk-matched patient cohorts) for the individual hospital's own specific case-mix, readily available on-line. RESULTS: Raw average rates were hospital mortality, 4.9%; mechanical ventilatory support time, 14.5%; and length of stay, 15.0%. Of 146 participating centers, compared with each hospital's overall case-adjusted predicted hospital mortality benchmark, 20.5% statistically (<90% CI) overperformed and 20.5% underperformed. An interactive tool based on the OCT analysis automatically reveals 14 hospital-specific patient cohorts, simultaneously assessing overperformance or underperformance, and enabling further analysis of cohort strata in any chosen time frame. CONCLUSIONS: Machine learning-based OCT benchmarking analysis provides automatic assessment of hospital-specific case-adjusted performance after congenital heart surgery, not only overall but importantly, also by similar risk patient cohorts. This is a tool for hospital self-assessment, particularly facilitated by the user-accessible online-platform.

Use of artificial intelligence for nonlinear benchmarking of surgical care.

BACKGROUND: Existent methodologies for benchmarking the quality of surgical care are linear and fail to capture the complex interactions of preoperative variables. We sought to leverage novel nonlinear artificial intelligence methodologies to benchmark emergency surgical care. METHODS: Using a nonlinear but interpretable artificial intelligence methodology called optimal classification trees, first, the overall observed mortality rate at the index hospital's emergency surgery population (index cohort) was compared to the risk-adjusted expected mortality rate calculated by the optimal classification trees from the American College of Surgeons National Surgical Quality Improvement Program database (benchmark cohort). Second, the artificial intelligence optimal classification trees created different "nodes" of care representing specific patient phenotypes defined by the artificial intelligence optimal classification trees without human interference to optimize prediction. These nodes capture multiple iterative risk-adjusted comparisons, permitting the identification of specific areas of excellence and areas for improvement. RESULTS: The index and benchmark cohorts included 1,600 and 637,086 patients, respectively. The observed and risk-adjusted expected mortality rates of the index cohort calculated by optimal classification trees were similar (8.06% [95% confidence interval: 6.8-9.5] vs 7.53%, respectively, P = .42). Two areas of excellence and 4 for improvement were identified. For example, the index cohort had lower-than-expected mortality when patients were older than 75 and in respiratory failure and septic shock preoperatively but higher-than-expected mortality when patients had respiratory failure preoperatively and were thrombocytopenic, with an international normalized ratio ≤1.7. CONCLUSION: We used artificial intelligence methodology to benchmark the quality of emergency surgical care. Such nonlinear and interpretable methods promise a more comprehensive evaluation and a deeper dive into areas of excellence versus suboptimal care.

Using human-centered design to co-design dedicated menstrual health spaces with people who menstruate in Bidi Bidi refugee settlement, Uganda: Learnings for further adaptation and scale in humanitarian settings.

BACKGROUND: Many people who menstruate in low- and middle-income countries struggle to manage their menstruation safely, hygienically, and with dignity. This is exacerbated in humanitarian settings with limited access to menstrual products and safe, private spaces for changing, washing, and disposing of menstrual products. To address these challenges, Youth Development Labs (YLabs) used a human-centered design approach to co-design the Cocoon Mini, a safe, physical structure for managing menstruation in the Bidi Bidi Refugee Settlement in Uganda. METHODS: The study comprised five phases, including background research, design research, rough prototyping, live prototyping, and a pilot study. A total of 340 people, including people who menstruate, male community members, and community stakeholders, participated in interviews, focus groups, and co-design sessions. Solution prototypes were created, evaluated, and iterated upon in each successive project phase. The final intervention design, the Cocoon Mini, was evaluated qualitatively for feasibility and acceptability during a three-month pilot using structured interviews with 109 people who menstruate utilizing Cocoon Mini structures, 64 other community members, and 20 Cocoon Mini supervisors. RESULTS: Results showed widespread desirability and acceptability of the Cocoon Mini among people who menstruate and other community members. Overall, 95% (104/109) of people who menstruate stated the space had made menstrual health management easier, primarily by providing designated waste bins, solar lights, and additional water sources. The Cocoon Mini provided an increased sense of physical and psychological safety in knowing where to privately manage menstruation. Furthermore, the Cocoon Mini demonstrated that an intervention could be run and maintained sustainably at the household level in humanitarian contexts, without continued external stakeholder intervention. Each Cocoon Mini structure costs approximately $360 USD to build and maintain and serves 15-20 people who menstruate, leading to a cost per person of $18-$24. Furthermore, attaching an incinerator to the structure for easier and quicker disposal of waste bin contents (compared to transporting full waste bins elsewhere) costs $2110 USD. CONCLUSIONS: People who menstruate lack access to safe, private spaces for menstrual health and product disposal in humanitarian settings. The Cocoon Mini provides a solution for the safe and effective management of menstruation. Customizing and scaling up dedicated menstrual health spaces should be considered a high-priority intervention in humanitarian settings.

All-cause and cause-specific mortality rates after severe extremity injuries among previously deployed active duty service members.

BACKGROUND: Previous research has shown that active duty military personnel who sustain extremity injuries while in service are at elevated risk for serious physical and psychological health issues that could affect their long-term functioning and quality of life yet longer-term mortality has not been studied in this population. OBJECTIVE: To determine whether rates of all-cause and cause-specific mortality are elevated for active duty U.S. service members who sustained traumatic limb injuries in service, compared to the broader population of deploying service members. To assess differences in mortality rates between service members with traumatic limb injuries that did versus did not result in amputation. DESIGN: Retrospective cohort study; archival Department of Defense deployment, personnel, medical, and death records were combined and analyzed. Standardized mortality ratios (SMR) adjusted for age, sex, and ethnoracial group, along with associated 95% confidence intervals (CIs), were calculated to directly compare all-cause and cause-specific mortality rates in each of the two injury groups to rates in the total study population. SETTING: Not applicable. PARTICIPANTS: Service members who deployed in support of the global war on terror between 2001 and 2016 were eligible for inclusion; the final sample included 1,875,206 individuals surveilled through 2019. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: All-cause and cause-specific mortality rates. RESULTS: Overall, the number of deaths was over three times higher than expected among service members with amputations (SMR = 3.01; CI: 2.36-3.65), and nearly two times higher among those with serious limb injuries not resulting in amputation (SMR = 1.72; CI: 1.54-1.90) when compared to the larger study population. Rates for both internal and external causes of death were significantly elevated among those with limb injuries. CONCLUSIONS: Long-term mortality rates are elevated among service members with traumatic limb injuries, though mortality patterns may differ based on whether the injury results in amputation. Although further research into causal mechanisms is needed, these results may inform the development of interventions to improve long-term health outcomes among injured military personnel.

Immunomodulatory effects of colchicine on peripheral blood mononuclear cell subpopulations in human obesity: Data from a randomized controlled trial.

OBJECTIVE: Colchicine is known to reduce inflammation and improve endothelial cell function and atherosclerosis in obesity, but there is little knowledge of the specific circulating leukocyte populations that are modulated by colchicine. METHODS: A secondary analysis of a double-blind randomized controlled trial of colchicine 0.6 mg or placebo twice daily for 3 months on circulating leukocyte populations and regulation of the immune secretome in 35 adults with obesity was performed. RESULTS: Colchicine altered multiple innate immune cell populations, including dendritic cells and lymphoid progenitor cells, monocytes, and natural killer cells when compared with placebo. Among all subjects and within the colchicine group, changes in natural killer cells were significantly positively associated with reductions in biomarkers of inflammation, including cyclooxygenase 2, pulmonary surfactant-associated protein D, myeloperoxidase, proteinase 3, interleukin-16, and resistin. Changes in dendritic cells were positively correlated with changes in serum heart-type fatty acid-binding protein concentrations. Additionally, colchicine treatment reduced cluster of differentiation (CD) CD4+ T effector cells and CD8+ T cytotoxic cells. Conversely, colchicine increased CD4+ and CD8+ T central memory cells and activated CD38High CD8+ T cells. Changes in CD4+ T effector cells were associated with changes in serum heart-type fatty acid-binding protein. CONCLUSIONS: In adults with obesity, colchicine significantly affects circulating leukocyte populations involved in both innate and adaptive immune systems along with the associated inflammatory secretome.

The catch-22 of promotion: Is becoming department chair of surgery a threat to the triple threat?

BACKGROUND: Despite the "fourth threat" of administrative demands, department chairs of surgery are expected to continue being a "triple threat": productive in research, outstanding in teaching, and exemplary in practice. Increased demands despite limited time are the catch-22 of promotion. This study investigated the influence of becoming department chair on scholarly vigor. METHODS: The surgeons listed in the Society of Surgical Chairs Membership Directory website (n = 118) were included in this study. Three measures were compared during the pre- and post-promotion phases: (1) research productivity (annual publications); (2) authorship position in publications (first-authorship, co-authorship, and senior-authorship); and (3) scholarly impact (m-index and National Institute of Health funding). RESULTS: The median [interquartile range] number of publications per year increased post-promotion versus pre-promotion (7.64 [3.81-14.15] vs 4.12 [2.08-7.03], P < .0005). The median [interquartile range] number of first-authorship publications per year decreased (0.50 [0.00-1.00] vs 0.64 [0.32-1.22], P < .05), whereas the median [interquartile range] number of co-authorship (4.23 [1.98-9.70] vs 2.02 [1.02-3.95], P < .0005) and senior-authorship (1.87 [0.99-4.03] vs 1.00 [0.36-2.24], P < .0005) publications per year increased post-promotion. The mean ± standard deviation m-index increased post-promotion (1.67 ± 1.19 vs 1.23 ± 0.83, P < .01). The mean ± standard deviation annual National Institute of Health grant funding amount of 48% (n = 57) of the department chairs increased post-promotion ($365,000 ± $899,000 vs $98,000 ± $143,000 pre-promotion, P < .05). CONCLUSION: The fourth threat of administrative demands is not a threat to the triple threat. This study showed the department chairs' continued scholarly vigor after promotion, providing insight into their tenacity, resilience, and dedication.

A scalable, eco-friendly ultralow-temperature approach to forming Al2O3 water-repellent cotton coatings via UV photo-annealing.

Hydrophobic coatings on cotton fabrics were successfully prepared via solution deposition of a "flat" nanoscale aluminum hydroxo cluster and a photo-assisted anneal using ultraviolet light. The coatings have a low surface roughness and high uniformity confirmed by SEM imaging and elemental analysis. The method represents a robust, scalable, and environmentally benign procedure suitable for industrial processes.

Gender differences in disorders comorbid with posttraumatic stress disorder among U.S. Sailors and Marines.

Psychological comorbidity, the co-occurrence of mental health disorders, is more often the rule than the exception among individuals with posttraumatic stress disorder (PTSD). Research shows that prevalence estimates for specific psychological disorders differ by gender; however, little is known about whether these patterns persist in the presence of a comorbid PTSD diagnosis. This study examined gender differences in prevalence estimates for conditions comorbid with PTSD using medical records for 523,626 active duty U.S. Sailors and Marines who entered the military over an 8-year period. Using chi-square tests of independence, we detected statistically significant gender differences for specific comorbid conditions in the subsample of 9,447 service members with a PTSD diagnosis. Women were more likely than men to have PTSD with comorbid adjustment, OR = 1.35; depressive, OR = 1.71; and generalized anxiety or other anxiety disorders, OR = 1.16, with the largest effects for eating, OR = 12.60, and personality disorders, OR = 2.97. In contrast, women were less likely than men to have a diagnosis of PTSD with comorbid alcohol use, OR = 0.69, and drug use disorders, OR = 0.72, with the largest effects for insomnia, OR = 0.42, and traumatic brain injury, OR = 0.17. No significant gender differences emerged for comorbid bipolar, obsessive-compulsive, panic/phobic, psychotic, or somatoform/dissociative disorders, ps = .029-.314. The results show gender differences in conditions comorbid with PTSD generally align with internalizing and externalizing dimensions. Differences in comorbidities with PTSD between women and men could have implications for treatment development and delivery.

Effects of colchicine on lipolysis and adipose tissue inflammation in adults with obesity and metabolic syndrome.

OBJECTIVE: The aim of this study was to examine whether colchicine's anti-inflammatory effects would improve measures of lipolysis and distribution of leukocyte populations in subcutaneous adipose tissue (SAT). METHODS: A secondary analysis was conducted for a double-blind, randomized, placebo-controlled pilot study in which 40 adults with obesity and metabolic syndrome (MetS) were randomized to colchicine 0.6 mg or placebo twice daily for 3 months. Non-insulin-suppressible (l0 ), insulin-suppressible (l2 ), and maximal (l0 +l2 ) lipolysis rates were calculated by minimal model analysis. Body composition was determined by dual-energy x-ray absorptiometry. SAT leukocyte populations were characterized by flow cytometry analysis from biopsied samples obtained before and after the intervention. RESULTS: Colchicine treatment significantly decreased l2 and l0 +l2 versus placebo (p < 0.05). These changes were associated with a significant reduction in markers of systemic inflammation, including high-sensitivity C-reactive protein, resistin, and circulating monocytes and neutrophils (p < 0.01). Colchicine did not significantly alter SAT leukocyte population distributions (p > 0.05). CONCLUSIONS: In adults with obesity and MetS, colchicine appears to improve insulin regulation of lipolysis and reduce markers of systemic inflammation independent of an effect on local leukocyte distributions in SAT. Further studies are needed to better understand the mechanisms by which colchicine affects adipose tissue metabolic pathways in adults with obesity and MetS.

Benchmarking cesarean delivery rates using machine learning-derived optimal classification trees.

OBJECTIVE: To establish a case-adjusted hospital-specific performance evaluation tool using machine learning methodology for cesarean delivery. DATA SOURCES: Secondary data were collected from patients between January 1, 2015 and February 28, 2018 using a hospital's "Electronic Data Warehouse" database from Illinois, USA. STUDY DESIGN: The machine learning methodology of optimal classification trees (OCTs) was used to predict cesarean delivery rate by physician group, thereby establishing the case-adjusted benchmarking standards in comparison to the overall hospital cesarean delivery rate. Outcomes of specific patient populations of each participating practice were predicted, as if each were treated in the overall hospital environment. The resulting OCTs estimate physician group expected cesarean delivery outcomes, both aggregate and in specific clinical situations. DATA COLLECTION/EXTRACTION METHODS: Twelve thousand eight hunderd and forty one singleton, vertex, term deliveries, cared for by practices with ≥50 births. PRINCIPAL FINDINGS: The overall rate of cesarean delivery was 18.6% (n = 2384), with a range of 13.3%-33.7% amongst 22 physician practices. An optimal decision tree was used to create a prediction model for the hospital overall, which defined 23 patient cohorts divided by 46 nodes. The model's performance for prediction of cesarean delivery is as follows: area under the curve 0.73, sensitivity 98.4%, specificity 16.1%, positive predictive value 83.7%, negative predictive value 70.6%. Comparisons with the overall hospital's specific-case adjusted benchmark groups revealed that several groups outperformed the overall hospital benchmark, and some practice groups underperformed in comparison to the overall hospital benchmark. CONCLUSIONS: OCT benchmarking can assess physician practice-specific case-adjusted performance, both overall and clinical situation-specific, and can serve as a valuable tool for hospital self-assessment and quality improvement.

Predictors of Symptom Increase in Subsyndromal PTSD Among Previously Deployed Military Personnel.

INTRODUCTION: Subsyndromal PTSD (sub-PTSD) is associated with functional impairment and increased risk for full PTSD. This study examined factors associated with progression from sub-PTSD to full PTSD symptomatology among previously deployed military veterans. MATERIALS AND METHODS: Data were drawn from a longitudinal survey of Navy and Marine Corps personnel leaving military service between 2007 and 2010 administered immediately before separation (baseline) and ~1 year later (follow-up). Survey measures assessed PTSD symptoms at both times; the baseline survey also assessed potential predictors of symptom change over time. Logistic regression models were used to identify predictors of progression from sub-PTSD to full PTSD status. RESULTS: Compared to those with no or few PTSD symptoms at baseline, individuals with sub-PTSD were almost three times more likely to exhibit full PTSD symptomatology at follow-up. Risk factors for symptom increase among those with sub-PTSD included moderate or high levels of combat exposure and utilization of fewer positive coping behaviors. Use of prescribed psychotropic medication was protective against symptom increase. CONCLUSION: This study identified several predictors of symptom increase in military veterans with sub-PTSD. Interventions targeting modifiable risk factors for symptom escalation, including behavioral and pharmacological treatments, may reduce rates of new-onset PTSD in this population.

Prolonged second stage effect on pelvic floor dysfunction: a follow up survey to a randomized controlled trial.

BACKGROUND: Pelvic floor dysfunction is a group of disorders that can significantly impact quality of life due to persistent urinary and anal incontinence. Data evaluating the effect of prolonged second stage of labor and postpartum pelvic floor dysfunction is heterogenous and limited. OBJECTIVE: To evaluate whether extending the length of labor in nulliparous women with prolonged second stage affects the presence of self-reported pelvic floor dysfunction after a randomized controlled trial of prolonged second stage. STUDY DESIGN: We conducted a planned follow up survey to our randomized controlled trial of prolonged second stage of labor using the Pelvic Floor Distress Inventory-20 (PFDI-20). The primary outcome was the PFDI-20 summary score. Secondary outcomes included urinary and fecal incontinence, prolapse, and patient satisfaction. Women surveyed were nulliparous patients with epidural anesthesia, previously enrolled in a randomized controlled trial that assigned them to extended labor, at least 1 additional hour in the second stage if they were undelivered after three hours, or to usual labor, defined as expedited delivery after three hours in the second stage. Women were surveyed at 12 - 36 months postpartum. RESULTS: Thirty-four of the seventy-eight women responded to the survey (43.6%). 17 women (50.0%) were from the extended labor group and 17 from the usual labor group (50.0%). Maternal demographic data were not significantly different between groups. The PFDI-20 summary score was 13.8 ± 23.3 in the extended labor group and 13.1 ± 20.9 in the usual labor group (p = 0.9). The Pelvic Organ Prolapse Distress Inventory-6 was 1.2 ± 2.9 in the extended labor group and 2.7 ± 6.4 in the usual labor group (p = 0.4). The Colorectal-Anal Distress Inventory-8 was 0.8 ± 2.8 in the extended labor group and 2.1 ± 4.0 in the usual labor group (p = 0.6). The Urinary Distress Inventory-6 was 11.8 ± 21.1 in the extended labor group and 8.3 ± 14.5 in the usual labor group (p = 0.6). Maternal and neonatal outcomes, as well as patient satisfaction, were not statistically significantly different between groups. CONCLUSION: Extending the length of labor in nulliparas with singleton gestations, epidural anesthesia, and prolonged second stage did not have an impact on PFDI-20 scores at 12-36 months postpartum. However, our study was underpowered to detect small, but potentially clinically important, differences. CLINICAL TRIAL NUMBER: NCT02101515 (Study Registration Date March 28, 2014) https://clinicaltrials.gov/ct2/show/NCT02101515.

Cross-sectional Survey-based Study of Underrepresented Minorities in Urology Academic Leadership Roles.

OBJECTIVE: To define the current proportion of underrepresented minority (URM) academic urologists in leadership positions. METHODS: A cross-sectional observational study of leadership positions in active United States Urology Residency Programs in 2020 was conducted. Academic urologists in leadership positions were electronically mailed a survey asking about personal and professional demographics. Self-reported variables including administrative position, race, and ethnicity were collected and analyzed. RESULTS: Over the study period, 133 urologists completed the survey out of a possible 320 academic urologists for a response rate of 41.6%. Overall, African-Americans represented 9.0%, Hispanics represented 3.8%, and American Indians/Alaska Natives made up 0.8% of leadership roles in the study sample. African-Americans comprised 8.5% (4 of 47) and Hispanics comprised 2.1% (1 of 47) of department chairs. African-Americans made up 7.4% (4 of 54) and Hispanics made up 1.9% (1 of 54) of program directors. The highest proportion of African-Americans in leadership positions was seen in oncology (18.2%), minimally invasive surgery (18.2%), and general urology (10%). The only subspecialties with Hispanics in leadership positions were in andrology/sexual medicine (16.7%) and female urology (15.4%). There were no reported URMs in leadership positions in endourology, neurourology, pediatrics, and reconstructive urology. CONCLUSIONS: To our knowledge, this study is the first to quantify the representation of URM urologists in academic leadership. There are multiple subspecialties without URMs in leadership positions. This information is vital to understanding the presence and lack of racial representation of the leadership of our field.

Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees.

Background: We have previously shown that the machine learning methodology of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery (CHS). We have now applied this methodology to define benchmarking standards after CHS, permitting case-adjusted hospital-specific performance evaluation. Methods: The European Congenital Heart Surgeons Association Congenital Database data subset (31 792 patients) who had undergone any of the 10 "benchmark procedure group" primary procedures were analyzed. OCT models were built predicting hospital mortality (HM), and prolonged postoperative mechanical ventilatory support time (MVST) or length of hospital stay (LOS), thereby establishing case-adjusted benchmarking standards reflecting the overall performance of all participating hospitals, designated as the "virtual hospital." These models were then used to predict individual hospitals' expected outcomes (both aggregate and, importantly, for risk-matched patient cohorts) for their own specific cases and case-mix, based on OCT analysis of aggregate data from the "virtual hospital." Results: The raw average rates were HM = 4.4%, MVST = 15.3%, and LOS = 15.5%. Of 64 participating centers, in comparison with each hospital's specific case-adjusted benchmark, 17.0% statistically (under 90% confidence intervals) overperformed and 26.4% underperformed with respect to the predicted outcomes for their own specific cases and case-mix. For MVST and LOS, overperformers were 34.0% and 26.4%, and underperformers were 28.3% and 43.4%, respectively. OCT analyses reveal hospital-specific patient cohorts of either overperformance or underperformance. Conclusions: OCT benchmarking analysis can assess hospital-specific case-adjusted performance after CHS, both overall and patient cohort-specific, serving as a tool for hospital self-assessment and quality improvement.

Hydrosulfide-selective ChemFETs for aqueous H2S/HS- measurement.

We have prepared and characterized hydrosulfide-selective ChemFET devices based on a nitrile butadiene rubber membrane containing tetraoctylammonium nitrate as a chemical recognition element that is applied to commercially available field-effect transistors. The sensors have fast (120 s) reversible responses, selectivity over other biologically relevant thiol-containing species, detection limits of 8 mM, and a detection range from approximately 5 to 500 mM. Sensitivities are shown to be 53 mV per decade at pH 8. Use of this compact, benchtop sensor platform requires little training - only the ability to measure DC voltage, which can be accomplished with a conventional multimeter or a simple analog data acquisition device paired with a personal computer. To the best of our knowledge, this report describes the first example of direct potentiometric measurement of the hydrosulfide ion in water.

Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach.

OBJECTIVE: Risk assessment tools typically used in congenital heart surgery (CHS) assume that various possible risk factors interact in a linear and additive fashion, an assumption that may not reflect reality. Using artificial intelligence techniques, we sought to develop nonlinear models for predicting outcomes in CHS. METHODS: We built machine learning (ML) models to predict mortality, postoperative mechanical ventilatory support time (MVST), and hospital length of stay (LOS) for patients who underwent CHS, based on data of more than 235,000 patients and 295,000 operations provided by the European Congenital Heart Surgeons Association Congenital Database. We used optimal classification trees (OCTs) methodology for its interpretability and accuracy, and compared to logistic regression and state-of-the-art ML methods (Random Forests, Gradient Boosting), reporting their area under the curve (AUC or c-statistic) for both training and testing data sets. RESULTS: Optimal classification trees achieve outstanding performance across all three models (mortality AUC = 0.86, prolonged MVST AUC = 0.85, prolonged LOS AUC = 0.82), while being intuitively interpretable. The most significant predictors of mortality are procedure, age, and weight, followed by days since previous admission and any general preoperative patient risk factors. CONCLUSIONS: The nonlinear ML-based models of OCTs are intuitively interpretable and provide superior predictive power. The associated risk calculator allows easy, accurate, and understandable estimation of individual patient risks, in the theoretical framework of the average performance of all centers represented in the database. This methodology has the potential to facilitate decision-making and resource optimization in CHS, enabling total quality management and precise benchmarking initiatives.

Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients.

BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) tool is an artificial intelligence-based calculator for the prediction of 30-day outcomes in patients undergoing emergency operations. In this study, we sought to assess the performance of POTTER in the emergency general surgery (EGS) population in particular. METHODS: All patients who underwent EGS in the 2017 American College of Surgeons NSQIP database were included. The performance of POTTER in predicting 30-day postoperative mortality, morbidity, and 18 specific complications was assessed using the c-statistic metric. As a subgroup analysis, the performance of POTTER in predicting the outcomes of patients undergoing emergency laparotomy was assessed. RESULTS: A total of 59,955 patients were included. Median age was 50 years and 51.3% were women. POTTER predicted mortality (c-statistic = 0.93) and morbidity (c-statistic = 0.83) extremely well. Among individual complications, POTTER had the highest performance in predicting septic shock (c-statistic = 0.93), respiratory failure requiring mechanical ventilation for 48 hours or longer (c-statistic = 0.92), and acute renal failure (c-statistic = 0.92). Among patients undergoing emergency laparotomy, the c-statistic performances of POTTER in predicting mortality and morbidity were 0.86 and 0.77, respectively. CONCLUSIONS: POTTER is an interpretable, accurate, and user-friendly predictor of 30-day outcomes in patients undergoing EGS. POTTER could prove useful for bedside counseling of patients and their families and for benchmarking of EGS care.

Investigation of the physical, optical, and chemical properties of phase segregated AlCoOx thin films from a novel hexol-type cluster.

The use of a novel inorganic nanoscale cluster (Al[(µ-OH)2Co(NH3)4]3(NO3)6) was investigated for its utility as a precursor for AlCoOx films. Mixed-metal aluminum and cobalt oxide thin films were solution deposited from the novel cluster solution via the spin-coating method on Si (100) and quartz substrates. The films were annealed at increasing temperatures up to 800 °C, and characterization of these films via TEM and XRD confirms binary Co3O4 crystalline phase present in an amorphous Al2O3 network. Films are relatively smooth (Rrms < 4 nm), polycrystalline, and demonstrate a tunable optical response dominated by Co3O4 with two electronic transitions.

Pushing the limits: perinatal outcomes beyond prolonged second stage.

Objective: To evaluate whether extremely prolonged second stage of labor in nulliparous women affects mode of delivery and perinatal outcomes.Methods: We performed a retrospective cohort study of nulliparous women with singleton gestations and cephalic presentation who reached 10 cm of cervical dilation at gestational age 36 0/7-41 6/7. Women were stratified by epidural status. Deliveries were compared by length of second stage: 0-179 min (normal second stage, NSS), 180-299 min (prolonged second stage, PSS), and ≥300 min (extremely prolonged second stage, EPSS). Primary outcome was incidence of vaginal delivery. Secondary outcomes were maternal and neonatal morbidities.Results: Six hundred sixty-one women were evaluated; overall, 92.7% (613/661) of the patients delivered vaginally, with 84.6% (559/661) of women undergoing spontaneous vaginal delivery. In women with epidural anesthesia, 90.6% (446/492) delivered vaginally (97.2% of NSS, 95.1% of PSS, and 69.2% of EPSS). In women without epidural anesthesia, 98.8% (167/169) delivered vaginally (99.3% of NSS, 100.0% of PSS, and 87.5% of EPSS). Women with epidural anesthesia and EPSS had a higher rate of postpartum hemorrhage (aOR: 8.52; 95% CI: 3.99-18.19) and third-degree laceration when compared to NSS (aOR: 5.87; 95% CI: 1.71-20.17). EPSS neonates had a higher rate of CPAP use (OR: 3.99; 95% CI: 1.82-8.74) and significantly higher birth weight (p < .0001) and composite neonatal outcomes (OR: 4.98; 95% CI: 2.34-10.59) compared to NSS.Conclusion: In nulliparous women at term with singleton gestations who reached second stage, the chance of vaginal delivery was 92.7%; even after 5 h of second stage, most women delivered via vaginal delivery (70.4%, 81/115). In those with epidural anesthesia, the PSS group had similar perinatal outcomes as the NSS group, whereas the EPSS group had significantly worse perinatal outcomes. Second stage ≥5 h is a potential tipping point for hazardous perinatal outcomes.