Branching Path Simulation for Pediatric Nurse Practitioner Students to Promote Critical Thinking: A Quasi-Experimental Study.

INTRODUCTION: Branching path simulation (BPS) is an active learning pedagogy incorporating gaming principles in a low-stakes, safe environment. No study has explored the use of BPS in advanced practice nursing education. This study measured pediatric nurse practitioner students' perception of the integration of BPS in one graduate-level course. METHOD: This study used a one group, post-test only quasi-experimental design with a convenience sample of 22 pediatric nurse practitioner students over 2 years enrolled in a university in the Pacific Northwest United States. RESULTS: Responses to BPS were positive: design (M = 4.8; SD ± 0.4), usability (M = 4.3; SD ± 1.0), self-confidence (M = 4.2; SD ± 0.8) and satisfaction (M = 4.8; SD ± 0.4). DISCUSSION: BPS was well received by learners. It not only provides immediate feedback and encourages students to identify their clinical management weaknesses and strengths but it also can be customized to needs in a course at a significant cost saving.

Dual anti-HER2/EGFR inhibition synergistically increases therapeutic effects and alters tumor oxygenation in HNSCC.

Epidermal growth factor receptor (EGFR), human epidermal growth factor receptor 2 (HER2), and hypoxia are associated with radioresistance. The goal of this study is to study the synergy of anti-HER2, trastuzumab, and anti-EGFR, cetuximab, and characterize the tumor microenvironment components that may lead to increased radiation sensitivity with dual anti-HER2/EGFR therapy in head and neck squamous cell carcinoma (HNSCC). Positron emission tomography (PET) imaging ([89Zr]-panitumumab and [89Zr]-pertuzumab) was used to characterize EGFR and HER2 in HNSCC cell line tumors. HNSCC cells were treated with trastuzumab, cetuximab, or combination followed by radiation to assess for viability and radiosensitivity (colony forming assay, immunofluorescence, and flow cytometry). In vivo, [18F]-FMISO-PET imaging was used to quantify changes in oxygenation during treatment. Bliss Test of Synergy was used to identify combination treatment synergy. Quantifying EGFR and HER2 receptor expression revealed a 50% increase in heterogeneity of HER2 relative to EGFR. In vitro, dual trastuzumab-cetuximab therapy shows significant decreases in DNA damage response and increased response to radiation therapy (p < 0.05). In vivo, tumors treated with dual anti-HER2/EGFR demonstrated decreased tumor hypoxia, when compared to single agent therapies. Dual trastuzumab-cetuximab demonstrates synergy and can affect tumor oxygenation in HNSCC. Combination trastuzumab-cetuximab modulates the tumor microenvironment through reductions in tumor hypoxia and induces sustained treatment synergy.

Using machine learning to predict bleeding after cardiac surgery.

OBJECTIVES: The primary objective was to predict bleeding after cardiac surgery with machine learning using the data from the Australia New Zealand Society of Cardiac and Thoracic Surgeons Cardiac Surgery Database, cardiopulmonary bypass perfusion database, intensive care unit database and laboratory results. METHODS: We obtained surgical, perfusion, intensive care unit and laboratory data from a single Australian tertiary cardiac surgical hospital from February 2015 to March 2022 and included 2000 patients undergoing cardiac surgery. We trained our models to predict either the Papworth definition or Dyke et al.'s universal definition of perioperative bleeding. Our primary outcome was the performance of our machine learning algorithms using sensitivity, specificity, positive and negative predictive values, accuracy, area under receiver operating characteristics curve (AUROC) and area under precision-recall curve (AUPRC). RESULTS: Of the 2000 patients undergoing cardiac surgery, 13.3% (226/2000) had bleeding using the Papworth definition and 17.2% (343/2000) had moderate to massive bleeding using Dyke et al.'s definition. The best-performing model based on AUPRC was the Ensemble Voting Classifier model for both Papworth (AUPRC 0.310, AUROC 0.738) and Dyke definitions of bleeding (AUPRC 0.452, AUROC 0.797). CONCLUSIONS: Machine learning can incorporate routinely collected data from various datasets to predict bleeding after cardiac surgery.

Blueprint for the development of resuscitation and emergency critical care fellowships.

The volume of critically ill patients presenting to the emergency department (ED) is increasing rapidly. Continued growth will likely further stress an already strained U.S. health care system. Numerous studies have demonstrated an association with worsened outcomes for critically ill patients boarding in the ED. To address the increasing volume and complexity of critically ill patients presenting to EDs nationwide, resuscitation and emergency critical care (RECC) fellowships were developed. RECC programs teach a general approach to the management of the undifferentiated critically ill patient, advanced management of critically ill patients by disease presentation, and ongoing supportive care of the critically ill patient boarding in the ED. The result is critical care training beyond that of a typical emergency medicine (EM) residency with a focus on the unique features and challenges of caring for critically ill patients in the ED not normally found in critical care fellowships. Graduates from RECC fellowships are well suited to practicing in any ED practice model and may be especially well prepared for EDs that distinguish acuity between zones (e.g., resuscitative care units, ED-based intensive care units). In addition to further developing clinical acumen, RECC fellowships provide graduates with a niche in EM education, research, and administration. In this article, we describe the philosophical principles and practical components necessary for the creation of future RECC fellowships.

The association between intraoperative cardiopulmonary bypass power and complications after cardiac surgery.

BACKGROUND: Low cardiac power (product of flow and pressure) has been shown to be associated with mortality in patients with cardiogenic shock after acute myocardial infarction, but has not been studied in cardiac surgical patients. This study's hypothesis was that cardiac power during cardiopulmonary bypass for cardiac surgery would have a greater association with adverse events than either flow or MAP (mean arterial pressure) alone. METHODS: We undertook a retrospective observational study using patient data from February 2015 to March 2022 undergoing cardiac surgery at Fiona Stanley Hospital in Perth Australia. Excluded were patient age less than 18 years old, patients undergoing thoracic transplantation, ventricular assist devices, off pump cardiac surgery and aortic surgery. The primary outcome was a composite outcome of 30-days mortality, stroke or new-onset renal insufficiency. RESULTS: Overall, 1984 cardiac surgeries were included in the analysis. Neither duration nor area below thresholds tested for power, MAP or flow was associated with the primary composite outcome. However, we found that an area below MAP thresholds 35-50 mmHg was associated with new renal insufficiency (adjusted odds ratio 1.17 [95% CI 1.02 to 1.35] for patients spending 10 min at 10 mmHg below 50 mmHg MAP compared to those who did not). CONCLUSIONS: This study suggests that MAP during cardiopulmonary bypass, but not power or flow, was an independent risk factor for adverse renal outcomes for cardiac surgical patients.

When I Think of Home: Black Families Supporting Their Children During the COVID-19 Pandemic.

Since the onset of the COVID-19 pandemic, economic crisis, and persistent systemic and structural racism have plagued Black communities. The continued physical and symbolic violence and murders of Black bodies are undeniable. As White institutions, schools are definite contributors to this brutality as they center the culture and realities of White children while ignoring or denigrating Black children. This is even evident in the undermining of Black families' efforts to prepare their children to face the inequities and injustices they experience in the U.S. In this article, we discuss Black families' engagement in their children's education amid threats through racial socialization research aimed at developing and validating Black children's perspectives, experiences, and realities in Black identity to promote their positive social-emotional and psychological development. Black families must know how to cultivate their child's healthy self-identity, voice, and agency, along with academic achievement. Schools should learn from these practices. Schools that choose to ignore these concepts will continue contributing to trauma and violence against Black children and maintain deficit-oriented views. The article includes examples and implications for teaching and supporting the well-being of Black children, and concludes with practical ideas that educators can learn from and integrate into their practices.

Sustaining productivity gains in the face of climate change: A research agenda for US wheat.

Wheat is a globally important crop and one of the "big three" US field crops. But unlike the other two (maize and soybean), in the United States its development is commercially unattractive, and so its breeding takes place primarily in public universities. Troublingly, the incentive structures within these universities may be hindering genetic improvement just as climate change is complicating breeding efforts. "Business as usual" in the US public wheat-breeding infrastructure may not sustain productivity increases. To address this concern, we held a multidisciplinary conference in which researchers from 12 US (public) universities and one European university shared the current state of knowledge in their disciplines, aired concerns, and proposed initiatives that could facilitate maintaining genetic improvement of wheat in the face of climate change. We discovered that climate-change-oriented breeding efforts are currently considered too risky and/or costly for most university wheat breeders to undertake, leading to a relative lack of breeding efforts that focus on abiotic stressors such as drought and heat. We hypothesize that this risk/cost burden can be reduced through the development of appropriate germplasm, relevant screening mechanisms, consistent germplasm characterization, and innovative models predicting the performance of germplasm under projected future climate conditions. However, doing so will require coordinated, longer-term, inter-regional efforts to generate phenotype data, and the modification of incentive structures to consistently reward such efforts.

Antigen-Dependent Inducible T-Cell Reporter System for PET Imaging of Breast Cancer and Glioblastoma.

For the past several decades, chimeric antigen receptor T-cell therapies have shown promise in the treatment of cancers. These treatments would greatly benefit from companion imaging biomarkers to follow the trafficking of T cells in vivo. Methods: Using synthetic biology, we engineered T cells with a chimeric receptor synthetic intramembrane proteolysis receptor (SNIPR) that induces overexpression of an exogenous reporter gene cassette on recognition of specific tumor markers. We then applied a SNIPR-based PET reporter system to 2 cancer-relevant antigens, human epidermal growth factor receptor 2 (HER2) and epidermal growth factor receptor variant III (EGFRvIII), commonly expressed in breast and glial tumors, respectively. Results: Antigen-specific reporter induction of the SNIPR PET T cells was confirmed in vitro using green fluorescent protein fluorescence, luciferase luminescence, and the HSV-TK PET reporter with 9-(4-18F-fluoro-3-[hydroxymethyl]butyl)guanine ([18F]FHBG). T cells associated with their target antigens were successfully imaged using PET in dual-xenograft HER2+/HER2- and EGFRvIII+/EGFRvIII- animal models, with more than 10-fold higher [18F]FHBG signals seen in antigen-expressing tumors versus the corresponding controls. Conclusion: The main innovation found in this work was PET detection of T cells via specific antigen-induced signals, in contrast to reporter systems relying on constitutive gene expression.

Reshaping Insanity in Pakistani Law: The Case of Safia Bano.

This Article analyzes the 2021 judgment of the Supreme Court of Pakistan in the case of Mst. Safia Bano v. Home Department, Government of Punjab. The case has garnered significant local and international attention due to the Court's ruling that a death sentence may not be carried out on a defendant who has a mental illness. Setting the case against the backdrop of Pakistan's Islamic and colonial contexts, this article argues that the Supreme Court has reshaped the insanity defense in Pakistani law by placing the determination of a defendant's mental state mainly in the hands of medical professionals. However, the Court's reliance on medical professionals and the subsequent downplaying of the "moral capacity" element of the insanity defense-a determination of law made by courts-has created an obstacle for courts to punish offenders more stringently in future cases due to the popular belief that mental health professionals are ill-equipped to answer broader questions of justice for victims and society. The article recommends that this issue can be remedied by establishing an objective legal test for insanity that considers Islamic law, Pakistani precedent, and advances in medical science.

Rare but Foreseeable: Rapidly Expanding Retropharyngeal Hematoma After Fall from Height.

CASE PRESENTATION: An elderly man presented to the emergency department after a fall from a 15-foot height. Initial examination revealed signs of head and neck trauma without airway compromise. Computed tomography imaging identified cervical fractures at the first and second level with a retropharyngeal hematoma. In discussion with the trauma service, the patient was admitted to the hospital for airway monitoring. After 10 hours he clinically deteriorated, resulting in acute respiratory failure, and ultimately required intubation. The patient was intubated with a hyperangulated video laryngoscopy, and a surgical set-up was also prepared. The intubation was uncomplicated and resulted in clinical improvement. The patient was extubated after three days without difficulty and was ultimately discharged following an uncomplicated hospital course. DISCUSSION: Retropharyngeal hematoma is a rare but significant clinical condition. Rapid decline and airway compromise have been described. Patients often require intubation and mechanical ventilation to avoid airway obstruction and respiratory failure. Coagulopathies should be reversed, if present. Prompt recognition and treatment of this condition is crucial to successful management.

Improving the delivery of palliative care through predictive modeling and healthcare informatics.

OBJECTIVE: Access to palliative care (PC) is important for many patients with uncontrolled symptom burden from serious or complex illness. However, many patients who could benefit from PC do not receive it early enough or at all. We sought to address this problem by building a predictive model into a comprehensive clinical framework with the aims to (i) identify in-hospital patients likely to benefit from a PC consult, and (ii) intervene on such patients by contacting their care team. MATERIALS AND METHODS: Electronic health record data for 68 349 inpatient encounters in 2017 at a large hospital were used to train a model to predict the need for PC consult. This model was published as a web service, connected to institutional data pipelines, and consumed by a downstream display application monitored by the PC team. For those patients that the PC team deems appropriate, a team member then contacts the patient's corresponding care team. RESULTS: Training performance AUC based on a 20% holdout validation set was 0.90. The most influential variables were previous palliative care, hospital unit, Albumin, Troponin, and metastatic cancer. The model has been successfully integrated into the clinical workflow making real-time predictions on hundreds of patients per day. The model had an "in-production" AUC of 0.91. A clinical trial is currently underway to assess the effect on clinical outcomes. CONCLUSIONS: A machine learning model can effectively predict the need for an inpatient PC consult and has been successfully integrated into practice to refer new patients to PC.

Variation in Heart-Rate Profile During a Prolonged, Submaximal Swim Bout.

PURPOSE: To describe the heart-rate (HR) response during a prolonged, submaximal, multirepetition swimming bout (ie, typical early-season swimming training), as there is currently little or no literature on this topic. METHODS: A total of 12 collegiate swimmers were instructed to complete sixty 91.4-m (100-yd) freestyle repetitions at their fastest sustainable pace, allowing between 5 and 10 seconds of rest between repetitions. Each swimmer was outfitted with a cardiotachometer, which monitored HR throughout the trial. Completion time (CT) was also recorded for each repetition. Individual means of HR and CT were calculated, and linear mixed models were used to determine the trend across repetitions and between- and within-subject SD for HR and CT. RESULTS: The mean (SD) value for HR was 167.8 (10.8) beats per minute (bpm), for CT was 68.7 (4.1) seconds, and for percentage of best time was 71.2% (4.5%). There was no change (Δ rep 55-6) in HR (-0.1 bpm; 95% confidence interval, -6.8 to 6.6 bpm; P = .97), whereas CT increased (3.0 s; 95% confidence interval, 1.5-4.4 s; P = .001). The between-subjects SD (95% confidence interval) for HR was 12.6 (8.4-19.3 bpm) and for CT was 4.6 (3.1-7.0 s). The within-subject SDs for HR and CT were 4.0 (3.8-4.3 bpm) and 0.9 (0.8-0.95 s), respectively. CONCLUSIONS: The inherent individual variability between swimmers in HR during training suggests that coaches carefully consider the common practice of prescribing workout intensity using rigid HR zones.

Extubation in the Emergency Department and Resuscitative Unit Setting.

A subset of intubated patients can safely be extubated in the emergency department (ED). The emergency medicine provider should be prepared for both common and life-threatening complications if considering ED extubation. Patients selected for extubation in the ED should have a low or near zero risk of reintubation or extubation failure. Intensive nursing care, close monitoring, and the ability to reintubate are minimum requirements for EDs considering ED extubation. This article provides a framework for determining appropriate patients for extubation and a practical approach on how to safely perform the procedure.

Anatomy of resuscitative care unit: expanding the borders of traditional intensive care units.

Resuscitation lacks a place in the hospital to call its own. Specialised intensive care units, though excellent at providing longitudinal critical care, often lack the flexibility to adapt to fluctuating critical care needs. We offer the resuscitative care unit as a potential solution to ensure that patients receive appropriate care during the most critical hours of their illnesses. These units offer an infrastructure for resuscitation and can meet the changing needs of their institutions.

Robot-assisted transabdominal cerclage for the prevention of preterm birth: A multicenter experience.

OBJECTIVE: High-risk pregnancy stratification and the use of Progesterone and prophylactic cerclage based on prior obstetrical outcomes and cervical length screening have been successful in curbing the impact of preterm birth. However, a large number of women will still suffer from preterm delivery even with optimal management. Experts agree that a transabdominal cerclage is the next best option for women who fail a transvaginal cerclage in a prior pregnancy. Our primary objective with this study is to assess the obstetric benefits and feasibility of robotic-assisted transabdominal cerclage in high-risk women projected to have poor obstetric outcomes. STUDY DESIGN: A multicenter retrospective cohort analysis of consecutive patients undergoing a robotic-assisted transabdominal cerclage (RA-TAC) for obstetric indications at two urban teaching university hospital and one academically affiliated community hospital. High-volume gynecologic surgeons performed all transabdominal cerclage procedures (N = 68). To assess whether the transabdominal cerclage had any effect on subsequent pregnancies, we categorized gestational age into ordinal variables and used a two-proportion z-test to compare pregnancy outcomes and neonatal survival pre (n = 200) and post (n = 59) abdominal cerclage placement. RESULTS: A total of 68 consecutive patients undergoing a RA-TAC for obstetric indications were selected. We compared 200 pregnancies pre-robot-assisted cerclage to 59 pregnancies post-robot-assisted cerclage. The odds of delivering after 34 and 37 weeks gestational age was 4.0 and 3.6 times greater post-robot-assisted cerclage, respectively (P < 0.001). The RA-TAC also had a significant effect on neonatal survival. The odds of neonatal survival was 12.6 times greater after RA-TAC placement when compared to prior pregnancy outcomes. Surgical outcomes were also favorable with no conversions to laparotomy or perioperative pregnancy loss. CONCLUSION: The RA-TAC influences an increase in gestational age and improves neonatal survival in women projected to have poor pregnancy outcomes. The robot-assisted transabdominal cerclages provide excellent obstetric outcomes without the morbidity of a laparotomy or the technical challenges associated with a conventional straight-stick laparoscopy. This procedure is not intended to replace any other minimally invasive modality for cerclage placement but rather increase awareness of a less technically challenging option for transabdominal cerclage placement to help propagate the procedure to more patients.