Destruction as a creative process: CAD-induced DNA strand breaks promote macrophage differentiation.

In a recent issue of Cell Reports, Maurya et al.1 demonstrated that Drep4, the Drosophila homolog of caspase-activated DNase (CAD), drives DNA strand breaks during myeloid-like/macrophage cell differentiation and that this Drep4/CAD activity is essential for the differentiation process.

Electrocardiogram-Based Deep Learning to Predict Mortality in Repaired Tetralogy of Fallot.

BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to predict mortality in adults with acquired cardiovascular diseases. However, its application to the growing repaired tetralogy of Fallot (rTOF) population remains unexplored. OBJECTIVES: This study aimed to develop and externally validate an AI-ECG model to predict 5-year mortality in rTOF. METHODS: A convolutional neural network was trained on electrocardiograms (ECGs) obtained at Boston Children's Hospital and tested on Boston (internal testing) and Toronto (external validation) INDICATOR (International Multicenter TOF Registry) cohorts to predict 5-year mortality. Model performance was evaluated on single ECGs per patient using area under the receiver operating (AUROC) and precision recall (AUPRC) curves. RESULTS: The internal testing and external validation cohorts comprised of 1,054 patients (13,077 ECGs at median age 17.8 [Q1-Q3: 7.9-30.5] years; 54% male; 6.1% mortality) and 335 patients (5,014 ECGs at median age 38.3 [Q1-Q3: 29.1-48.7] years; 57% male; 8.4% mortality), respectively. Model performance was similar during internal testing (AUROC 0.83, AUPRC 0.18) and external validation (AUROC 0.81, AUPRC 0.21). AI-ECG performed similarly to the biventricular global function index (an imaging biomarker) and outperformed QRS duration. AI-ECG 5-year mortality prediction, but not QRS duration, was a significant independent predictor when added into a Cox regression model with biventricular global function index to predict shorter time-to-death on internal and external cohorts. Saliency mapping identified QRS fragmentation, wide and low amplitude QRS complexes, and flattened T waves as high-risk features. CONCLUSIONS: This externally validated AI-ECG model may complement imaging biomarkers to improve risk stratification in patients with rTOF.

Increasing Diversity, Equity, and Inclusion in the Health and Health Services Research Workforce: A Systematic Scoping Review.

Health and health services research institutions seek to increase diversity, equity, and inclusion (DEI) to overcome structural bias. The objective of this review is to identify, characterize, and evaluate programs aimed to strengthen DEI in the health and health services research workforces. We conducted a systematic scoping review of literature of 2012-2022 North American peer-reviewed empirical studies in PubMed and Embase using the Arksey and O'Malley approach. This review identified 62 programs that varied in focus, characteristics, and outcomes. Programs focused on supporting a spectrum of underrepresented groups based on race/ethnicity, gender identity, sexual orientation, disability status, and socioeconomic status. The majority of programs targeted faculty/investigators, compared to other workforce roles. Most programs were 1 year in length or less. The practices employed within programs included skills building, mentoring, and facilitating the development of social networks. To support program infrastructure, key strategies included supportive leadership, inclusive climate, resource allocation, and community engagement. Most programs evaluated success based on shorter-term metrics such as the number of grants submitted and manuscripts published. Relatively few programs collected long-term outcomes on workforce pathway outcomes including hiring, promotion, and retention. This systematic scoping review outlined prevalent practices to advance DEI in the health and health services research field. As DEI programs proliferate, more work is needed by research universities, institutes, and funders to realign institutional culture and structures, expand resources, advance measurement, and increase opportunities for underrepresented groups at every career stage.

Divergent effects of acute and chronic PPT1 inhibition in melanoma.

Macroautophagy/autophagy-lysosome function promotes growth and survival of cancer cells, making them attractive targets for cancer therapy. One intriguing lysosomal target is PPT1 (palmitoyl-protein thioesterase 1). PPT1 inhibitors derived from chloroquine block autophagy, have significant antitumor activity in preclinical models and are being developed for clinical trials. However, the role of PPT1 in tumorigenesis remains poorly understood. Here we report that in melanoma cells, acute siRNA or pharmacological PPT1 inhibition led to increased ferroptosis sensitivity and significant loss of viability, whereas chronic PPT1 knockout using CRISPR-Cas9 produced blunted ferroptosis that led to sustained viability and growth. Each mode of PPT1 inhibition produced lysosome-autophagy inhibition but distinct proteomic changes, demonstrating the complexity of cellular adaptation mechanisms. To determine whether total genetic loss of Ppt1 would affect tumorigenesis in vivo, we developed a Ppt1 conditional knockout mouse model. We then crossed it into the BrafCA, PtenloxP, Tyr:CreERT2 melanoma mouse model to investigate the impact of Ppt1 loss on tumorigenesis. Loss of Ppt1 had no impact on melanoma histology, time to tumor initiation, or survival of tumor-bearing mice. These results suggest that chemical PPT1 inhibitors produce different adaptations than genetic PPT1 inhibition, and additional studies are warranted to fully understand the mechanism of chloroquine derivatives that target PPT1 in cancer.Abbreviations: 4-HT: 4-hydroxytamoxifen; BRAF: B-Raf proto-oncogene, serine/threonine kinase; cKO: conditional knockout; CRISPR-Cas9: clustered regularly interspaced short palindromic repeats-CRISPR-associated protein 9; DC661: A specific PPT1 inhibitor; DMSO: dimethyl sulfoxide; Dox; doxycycline hyclate; Easi-CRISPR: efficient additions with ssDNA inserts-CRISPR; GNS561/ezurpimtrostat: A PPT1 inhibitor; Hug: human guide; iCas: inducible CRISPR-Cas9; KO: knockout; LC-MS/MS: Liquid chromatography-tandem mass spectrometry; LDLR: low density lipoprotein receptor; NFE2L2/NRF2: NFE2 like bZIP transcription factor 2; NT: non-target; PTEN: phosphatase and tensin homolog; PPT1: palmitoyl-protein thioesterase 1; RSL3: RAS-selective lethal small molecule 3; SCRIB/SCRB1: scribble planar cell polarity protein; Tyr:CreERT2: tyrosinase-driven Cre recombinase fused with the tamoxifen-inducible mutant ligand binding domain of the human estrogen receptor; UGCG: UDP-glucose ceramide glucosyltransferase; WT: wild-type.

Neutrophil-avid nanocarrier uptake by STAT3 dominant-negative hyper-IgE syndrome patient neutrophils.

Recurrent infections are a hallmark of STAT3 dominant-negative hyper-IgE syndrome (STAT3 HIES), a rare immunodeficiency syndrome previously known as Jobs syndrome, along with elevated IgE levels and impaired neutrophil function. We have been developing nanoparticles with neutrophil trophism that home to the sites of infection via these first-responder leukocytes, named neutrophil-avid nanocarriers (NANs). Here, we demonstrate that human neutrophils can phagocytose nanogels (NGs), a type of NAN, with enhanced uptake after particle serum opsonization, comparing neutrophils from healthy individuals to those with STAT3 HIES, where both groups exhibit NG uptake; however, the patient group showed reduced phagocytosis efficiency with serum-opsonized NANs. Proteomic analysis of NG protein corona revealed complement components, particularly C3, as predominant in both groups. Difference between groups includes STAT3 HIES samples with higher neutrophil protein and lower acute-phase protein expression. The study suggests that despite neutrophil dysfunction in STAT3 HIES, NANs have potential for directed delivery of cargo therapeutics to improve neutrophil infection clearance.

Using a Patient Portal to Screen Patients for Symptoms After Starting New Medications.

OBJECTIVE: Conduct systematic proactive pharmacovigilance screening for symptoms patients experienced after starting new medications using an electronic patient portal. We aimed to design and test the feasibility of the system, measure patient response rates, provide any needed support for patients experiencing potentially drug-related problems, and describe types of symptoms and problems patients report. METHODS: We created an automated daily report of all new prescriptions, excluding likely non-new and various over-the-counter meds, and sent invitations via patient portal inviting patients to inquire if they had started the medication, and if "yes," inquire if they had they experienced any new symptoms that could be potential adverse drug effects. Reported symptoms were classified by clinical pharmacists using SOC MeDra taxonomy, and patients were offered follow-up and support as desired and needed. RESULTS: Of 11,724 included prescriptions for 9360 unique patients, 2758 (29.4%) patients responded. Of 2616 unique medication starts, patients reported at least 1 new symptom that represented a potential adverse drug reaction (ADR) in 678/2616 (25.9%). Nearly one-third of those experiencing new symptoms (30.3%) reported 2 or more new symptoms after initiating the drug. GI disorders accounted for 30% of the total reported ADRs. CONCLUSIONS: Systematic portal-based surveillance for potential adverse drug reactions was feasible, had higher response rates than other methods (such as automated interactive phone calling), and uncovered rates of potential ADRs (roughly 1 in 4 patients) consistent with other methods/studies.

A machine learning technology for addressing medication-related risk in older, multimorbid patients.

OBJECTIVES: To evaluate the FeelBetter machine learning system's ability to accurately identify older patients with multimorbidity at Brigham and Women's Hospital at highest risk of medication-associated emergency department (ED) visits and hospitalizations, and to assess the system's ability to provide accurate medication recommendations for these patients. STUDY DESIGN: Retrospective cohort study. METHODS: The system uses medications, demographics, diagnoses, laboratory results, health care utilization patterns, and costs to stratify patients' risk of ED visits and hospitalizations. Patients were assigned 1 of 22 risk levels based on their system-generated risk percentile of either ED visits or hospitalizations. Logistic regression models were used to estimate the odds of ED visits and hospitalizations associated with each successive risk level compared with the 45th to 50th percentiles. After stratification, 100 high-risk (95th-100th percentiles) and 100 medium-risk (45th-55th percentiles) patients were randomly selected for generation of medication recommendations. Two clinical pharmacists reviewed the system-generated medication recommendations for these patients. RESULTS: Logistic regression models predicting 3-month utilization showed that compared with the 45th to 50th percentiles, patients in the top 1% risk percentile had ORs of 7.9 and 17.3 for ED visits and hospitalizations, respectively. The first 5 high-priority medications on each patient's medication list were associated with a mean (SD) of 6.65 (4.09) warnings. Of 1290 warnings reviewed, 1151 (89.2%) were assessed as correct. CONCLUSIONS: The FeelBetter system effectively stratifies older patients with multimorbidity at risk of ED use and hospitalizations. Medication recommendations provided by the system are largely accurate and can potentially be beneficial for patient care.

Nutrition Provision in Children with Heart Disease on Extracorporeal Membrane Oxygenation (ECMO).

Nutrition provision for children with heart disease supported with extracorporeal membrane oxygenation (ECMO) involves nuanced decision making. We examined nutrition provision while on ECMO in the CICU and the relationship between energy and protein adequacy and end organ function as assessed by pediatric sequential organ failure assessment (pSOFA) scores in children with heart disease supported with ECMO. Children (≤ 21 years-old) with congenital or acquired heart disease who received ECMO in the cardiac intensive care unit were included. There were 259 ECMO runs in 252 patients over an 8-year study period (2013-2020). Median energy delivery and adequacy were 26.1 [8.4, 45.9] kcal/kg/day and 58.3 [19.8, 94.6]%, respectively. Median protein delivery and adequacy were 0.98 [0.36, 1.64] g/kg/day and 35.7 [13.4, 60.3]%, respectively. pSOFA increased by a median of four points during the ECMO run. Change in pSOFA score was not associated with energy or protein adequacy (p = 0.46 and p = 0.72, respectively). Higher energy and protein adequacy-from parenteral nutrition-correlated with increased hospital-acquired infections (HAIs, p = 0.031 and p = 0.003, respectively). Achieving nutritional adequacy was dependent on the use of parenteral nutrition. Similar clinical outcomes with regard to end organ function but with an increased incidence of HAIs suggests the need to explore the role of optimal enteral nutrition delivery on ECMO.

Diffuse alveolar hemorrhage in pediatrics: Etiologies and outcomes.

BACKGROUND: Many conditions, including autoimmune disease and idiopathic pulmonary hemosiderosis (IPH), can cause diffuse alveolar hemorrhage (DAH). Little is known about the epidemiology and outcomes in children. OBJECTIVES: This retrospective cohort study sought to describe the etiologies and outcomes of DAH in pediatric patients at a tertiary care center. METHODS: This study involved review of patient records with diagnostic codes or bronchoscopy reports suggestive of pulmonary hemorrhage at a large children's hospital over 11 years (2010-2020). Patients were included if they met criteria for DAH, defined as bilateral pulmonary infiltrates and at least one of the following: (1) hemoptysis, (2) blood visible on bronchoscopic exam without apparent airway source, or (3) DAH noted on biopsy or autopsy. Infants less than 10 days corrected gestational age were excluded. RESULTS: Seventy-one children with DAH were included in the analysis. Cardiovascular disease was the most common etiology. Bleeding diathesis was common, but all patients had other causes of DAH. Patients with IPH were younger than those with autoimmune disease (p < .001). Most (77%) patients required mechanical ventilation, though this was less common among patients with autoimmune disease. Overall mortality was high (37%) but varied based on underlying etiology; mortality was higher in patients with cardiovascular disease (65%) while no deaths were seen in patients with autoimmune disease or IPH (p = .002). Survivors of DAH who performed pulmonary function tests had normal lung function. CONCLUSIONS: DAH frequently causes respiratory failure in children. In our cohort, mortality was highest in patients with cardiovascular disease.

SMCHD1 activates the expression of genes required for the expansion of human myoblasts.

SMCHD1 is an epigenetic regulatory protein known to modulate the targeted repression of large chromatin domains. Diminished SMCHD1 function in muscle fibers causes Facioscapulohumeral Muscular Dystrophy (FSHD2) through derepression of the D4Z4 chromatin domain, an event which permits the aberrant expression of the disease-causing gene DUX4. Given that SMCHD1 plays a broader role in establishing the cellular epigenome, we examined whether loss of SMCHD1 function might affect muscle homeostasis through additional mechanisms. Here we show that acute depletion of SMCHD1 results in a DUX4-independent defect in myoblast proliferation. Genomic and transcriptomic experiments determined that SMCHD1 associates with enhancers of genes controlling cell cycle to activate their expression. Amongst these cell cycle regulatory genes, we identified LAP2 as a key target of SMCHD1 required for the expansion of myoblasts, where the ectopic expression of LAP2 rescues the proliferation defect of SMCHD1-depleted cells. Thus, the epigenetic regulator SMCHD1 can play the role of a transcriptional co-activator for maintaining the expression of genes required for muscle progenitor expansion. This DUX4-independent role for SMCHD1 in myoblasts suggests that the pathology of FSHD2 may be a consequence of defective muscle regeneration in addition to the muscle wasting caused by spurious DUX4 expression.

Predictors of 30-day Unplanned Hospital Readmissions among Maintenance Dialysis Patients.

Background and Objectives: Patients on dialysis are twice as likely to have early readmissions. This study aimed to identify risk factors for 30-day unplanned readmission among patients on maintenance dialysis in a tertiary hospital. Methods: We conducted a retrospective, unmatched, case-control study. Data were taken from patients on maintenance hemodialysis admitted in the University of the Philippines-Philippine General Hospital (UP-PGH) between January 2018 and December 2020. Patients with 30-day readmission were included as cases and patients with >30-day readmissions were taken as controls. Multivariable regression with 30-day readmission as the outcome was used to identify significant predictors of early readmission. Results: The prevalence of 30-day unplanned readmission among patients on dialysis is 36.96%, 95%CI [31.67, 42.48]. In total, 119 cases and 203 controls were analyzed. Two factors were significantly associated with early readmission: the presence of chronic glomerulonephritis [OR 2.35, 95% CI 1.36 to 4.07, p-value=0.002] and number of comorbidities [OR 1.34, 95% CI 1.12 to 1.61, p-value=0.002]. The most common reasons for early readmission are infection, anemia, and uremia/underdialysis. Conclusion: Patients with chronic glomerulonephritis and multiple comorbidities have significantly increased odds of early readmission. Careful discharge planning and close follow up of these patients may reduce early readmissions.

Safety, Tolerability, and EEG-Based Target Engagement of STP1 (PDE3,4 Inhibitor and NKCC1 Antagonist) in a Randomized Clinical Trial in a Subgroup of Patients with ASD.

This study aimed to evaluate the safety and tolerability of STP1, a combination of ibudilast and bumetanide, tailored for the treatment of a clinically and biologically defined subgroup of patients with Autism Spectrum Disorder (ASD), namely ASD Phenotype 1 (ASD-Phen1). We conducted a randomized, double-blind, placebo-controlled, parallel-group phase 1b study with two 14-day treatment phases (registered at clinicaltrials.gov as NCT04644003). Nine ASD-Phen1 patients were administered STP1, while three received a placebo. We assessed safety and tolerability, along with electrophysiological markers, such as EEG, Auditory Habituation, and Auditory Chirp Synchronization, to better understand STP1's mechanism of action. Additionally, we used several clinical scales to measure treatment outcomes. The results showed that STP1 was well-tolerated, with electrophysiological markers indicating a significant and dose-related reduction of gamma power in the whole brain and in brain areas associated with executive function and memory. Treatment with STP1 also increased alpha 2 power in frontal and occipital regions and improved habituation and neural synchronization to auditory chirps. Although numerical improvements were observed in several clinical scales, they did not reach statistical significance. Overall, this study suggests that STP1 is well-tolerated in ASD-Phen1 patients and shows indirect target engagement in ASD brain regions of interest.

Childhood Opportunity and Acute Interstage Outcomes: A National Pediatric Cardiology Quality Improvement Collaborative Analysis.

BACKGROUND: The interstage period after discharge from stage 1 palliation carries high morbidity and mortality. The impact of social determinants of health on interstage outcomes is not well characterized. We assessed the relationship between childhood opportunity and acute interstage outcomes. METHODS: Infants discharged home after stage 1 palliation in the National Pediatric Quality Improvement Collaborative Phase II registry (2016-2022) were retrospectively reviewed. Zip code-level Childhood Opportunity Index (COI), a composite metric of 29 indicators across education, health and environment, and socioeconomic domains, was used to classify patients into 5 COI levels. Acute interstage outcomes included death or transplant listing, unplanned readmission, intensive care unit admission, unplanned catheterization, and reoperation. The association between COI level and acute interstage outcomes was assessed using logistic regression with sequential adjustment for potential confounders. RESULTS: The analysis cohort included 1837 patients from 69 centers. Birth weight (P<0.001) and proximity to a surgical center at birth (P=0.02) increased with COI level. Stage 1 length of stay decreased (P=0.001), and exclusive oral feeding rate at discharge increased (P<0.001), with higher COI level. More than 98% of patients in all COI levels were enrolled in home monitoring. Death or transplant listing occurred in 101 (5%) patients with unplanned readmission in 987 (53%), intensive care unit admission in 448 (24%), catheterization in 345 (19%), and reoperation in 83 (5%). There was no difference in the incidence or time to occurrence of any acute interstage outcome among COI levels in unadjusted or adjusted analysis. There was no interaction between race and ethnicity and childhood opportunity in acute interstage outcomes. CONCLUSIONS: Zip code COI level is associated with differences in preoperative risk factors and stage 1 palliation hospitalization characteristics. Acute interstage outcomes, although common across the spectrum of childhood opportunity, are not associated with COI level in an era of highly prevalent home monitoring programs. The role of home monitoring in mitigating disparities during the interstage period merits further investigation.

Pan-immune-inflammation value and survival in patients with breast cancer from a Peruvian reference hospital.

The pan-immune-inflammation value (PIV), calculated as (neutrophil × platelet × monocyte)/lymphocyte count, may be useful for estimating survival in breast cancer patients. To determine the prognostic value of PIV for overall survival in breast cancer patients in Lima, Peru. A retrospective cohort study was conducted. 97 breast cancer patients diagnosed between January 2010 and December 2016 had their medical records analyzed. The primary dependent variable was overall survival, and the key independent variable was the PIV, divided into high (≥ 310) and low (< 310) groups. Patient data included demographics, treatment protocols and other clinical variables. Statistical analysis involved Kaplan-Meier survival curves and Cox proportional hazards modeling. Patients with a PIV ≥ 310 had significantly lower 5-year survival functions (p = 0.004). Similar significant differences in survival were observed for clinical stage III-IV (p = 0.015), hemoglobin levels < 12 mg/Dl (p = 0.007), histological grade (p = 0.019), and nuclear grade (p < 0.001); however, molecular classification did not show a significant survival difference (p = 0.371). The adjusted Hazard Ratios showed that PIV ≥ 310 was significantly associated with poor outcome (5.08, IC95%: 1.52-16.92). While clinical stage and hemoglobin levels were associated with survival in the unadjusted model. These factors did not maintain significance after adjustment. PIV is an independent predictor of reduced survival in Peruvian breast cancer patients.

Estrés laboral y desempeño profesional en Personal de Salud del área de Ginecología y Obstetricia de un Hospital Peruano en el año 2023 / Work stress and professional performance in health personnel in the Gynecology and Obstetrics area of a Peruvian Hospital in 2023

Objetivo: Describir la relación entre el estrés laboral y el desempeño profesional en el servicio de Ginecología y Obstetricia en el Hospital Sergio Bernales durante el año 2023. Métodos: Estudio de tipo cuantitativo, observacional, prospectivo y transversal. Los participantes del estudio formaban parte del personal de salud que labora en el servicio de Ginecología y Obstetricia del Hospital Nacional Sergio E. Bernales. Resultados: El personal de salud presenta un nivel medio de estrés laboral 45,4 %, seguido por un 29,3 % con alto nivel y un 25,3 % con bajo nivel de estrés laboral. Los médicos residentes (18; 100 %) y los obstetras (26; 46,2 %) mostraron, predominantemente, un nivel medio de estrés laboral. Los niveles medio y alto de estrés se asociaron a un nivel de rendimiento bueno (26 personas; 45,6 %) y 15 entrevistados (26,3 %), respectivamente, y muy bueno: 18 personas (56,3 %) y 13 (40,6 %). Conclusión: Se destaca que el 57,6 % del personal tiene un buen desempeño profesional, siendo las obstetras mayoritarias en este grupo. Se observó que predominaron los niveles medio y alto de estrés laboral en el personal de salud, sin embargo, se encontró un nivel medio de desempeño profesional. Los hallazgos revelan que la mayoría de encuestados logró mantener un buen desempeño profesional a pesar de experimentar niveles medios o altos de estrés laboral, lo que sugiere la complejidad de la relación entre el estrés y el rendimiento laboral en este ámbito de la salud(AU)

Objective: To describe the relationship between work stress and professional performance in the Gynecology and Obstetrics service at the Sergio Bernales Hospital during the year 2023. Methods: Quantitative, observational, prospective and cross-sectional study. The study participants were health personnel working in the Gynecology and Obstetrics service of the Sergio E. Bernales National Hospital. Results: Health personnel have a medium level of work-related stress (45.4%), followed by 29.3% with a high level and 25.3% with a low level of work-related stress. Resident physicians (18; 100%) and obstetricians (26; 46.2%) predominantly showed a medium level of work-related stress. Medium and high levels of stress were associated with a good level of performance (26 people; 45.6%) and 15 interviewees (26.3%), respectively, and very good performance: 18 people (56.3%) and 13 (40.6%). Conclusions: It should be noted that 57,6% of the personnel have a good professional performance, with obstetricians being the majority in this group. It was observed that medium and high levels of work stress predominated among health personnel; however, a medium level of professional performance was found. The findings reveal that the majority of respondents managed to maintain good professional performance despite experiencing medium or high levels of job stress, suggesting the complexity of the relationship between stress and job performance in this health care setting(AU)

Development and Validation of a Mortality Risk Score for Repaired Tetralogy of Fallot.

BACKGROUND: Robust risk assessment is crucial for the growing repaired tetralogy of Fallot population at risk of major adverse clinical outcomes; however, current tools are hindered by lack of validation. This study aims to develop and validate a risk prediction model for death in the repaired tetralogy of Fallot population. METHODS AND RESULTS: Patients with repaired tetralogy of Fallot enrolled in the INDICATOR (International Multicenter Tetralogy of Fallot Registry) cohort with clinical, arrhythmia, cardiac magnetic resonance, and outcome data were included. Patients from London, Amsterdam, and Boston sites were placed in the development cohort; patients from the Toronto site were used for external validation. Multivariable Cox regression was used to evaluate factors associated with time from cardiac magnetic resonance until the primary outcome: all-cause death. Of 1552 eligible patients (n=1221 in development, n=331 in validation; median age at cardiac magnetic resonance 23.4 [interquartile range, 15.6-35.6] years; median follow up 9.5 years), 102 (6.6%) experienced the primary outcome. The multivariable Cox model performed similarly during development (concordance index, 0.83 [95% CI, 0.78-0.88]) and external validation (concordance index, 0.80 [95% CI, 0.71-0.90]) and identified older age at cardiac magnetic resonance, obesity, type of tetralogy of Fallot repair, higher right ventricular end-systolic volume index, and lower biventricular global function index as independent predictors of death. A risk-scoring algorithm dividing patients into low-risk (score ≤4) versus high-risk (score >4) groups was validated to effectively discriminate risk of death (15-year survival of 95% versus 74%, respectively; P<0.001). CONCLUSIONS: This externally validated mortality risk prediction algorithm can help identify vulnerable patients with repaired tetralogy of Fallot who may benefit from targeted interventions.

Technical Success and Serious Adverse Events for Fetal Aortic Valvuloplasty in a Large 20-Year Cohort.

Background: FAV is offered to fetuses with severe aortic valve stenosis and evolving hypoplastic left heart syndrome. An inferential analysis of TS and SAE in a large series has not been reported. Objectives: The purpose of this study was to determine factors associated with fetal aortic valvuloplasty (FAV) technical success (TS) and serious adverse events (SAEs). Methods: Retrospective, single-center, cohort analysis of attempted FAV from March 1, 2000, to December 31, 2020. The primary outcome was the TS of FAV, and the secondary outcome was the presence of an SAE. Results: A total of 165 FAVs were attempted in 163 patients with a median gestational age of 24.6 weeks (IQR: 22.9-27.1 weeks). FAV TS was 85% (141/165) and was higher in the 2010 to 2020 era (94% [85/90] vs 75% [56/75]; P < 0.001). Pre-FAV echocardiographic left ventricle (LV) long axis dimension z-score >-0.10 (P < 0.001) and higher LV ejection fraction (P = 0.037) were independently associated with a higher odds of TS. There were 117 SAEs in 67 attempted FAVs (41%), 13 of which were fetal deaths (7.9%). By classification and regression tree analysis, gestational age <21 weeks or in older fetuses, a procedure time of ≥39.6 minutes was associated with higher SAE rate. In the multivariable logistic regression model correcting for gestational age, fetuses with an LV end-diastolic volume <4.09 mL had an age-adjusted OR of 4.71 (95% CI: 1.67-13.29; P = 0.004) for experiencing an SAE. Conclusions: TS of FAV has improved over time, and failure is associated with smaller fetal left heart sizes. SAEs are common and are associated with smaller left hearts and longer procedure times.

Straight to the point: evaluation of a Point of Care Information (POCI) resource in answering disease-related questions.

Objective: To evaluate the ability of DynaMedex, an evidence-based drug and disease Point of Care Information (POCI) resource, in answering clinical queries using keyword searches. Methods: Real-world disease-related questions compiled from clinicians at an academic medical center, DynaMedex search query data, and medical board review resources were categorized into five clinical categories (complications & prognosis, diagnosis & clinical presentation, epidemiology, prevention & screening/monitoring, and treatment) and six specialties (cardiology, endocrinology, hematology-oncology, infectious disease, internal medicine, and neurology). A total of 265 disease-related questions were evaluated by pharmacist reviewers based on if an answer was found (yes, no), whether the answer was relevant (yes, no), difficulty in finding the answer (easy, not easy), cited best evidence available (yes, no), clinical practice guidelines included (yes, no), and level of detail provided (detailed, limited details). Results: An answer was found for 259/265 questions (98%). Both reviewers found an answer for 241 questions (91%), neither found the answer for 6 questions (2%), and only one reviewer found an answer for 18 questions (7%). Both reviewers found a relevant answer 97% of the time when an answer was found. Of all relevant answers found, 68% were easy to find, 97% cited best quality of evidence available, 72% included clinical guidelines, and 95% were detailed. Recommendations for areas of resource improvement were identified. Conclusions: The resource enabled reviewers to answer most questions easily with the best quality of evidence available, providing detailed answers and clinical guidelines, with a high level of replication of results across users.

A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study.

Background: Despite restrictive opioid management guidelines, opioid use disorder (OUD) remains a major public health concern. Machine learning (ML) offers a promising avenue for identifying and alerting clinicians about OUD, thus supporting better clinical decision-making regarding treatment. Objective: This study aimed to assess the clinical validity of an ML application designed to identify and alert clinicians of different levels of OUD risk by comparing it to a structured review of medical records by clinicians. Methods: The ML application generated OUD risk alerts on outpatient data for 649,504 patients from 2 medical centers between 2010 and 2013. A random sample of 60 patients was selected from 3 OUD risk level categories (n=180). An OUD risk classification scheme and standardized data extraction tool were developed to evaluate the validity of the alerts. Clinicians independently conducted a systematic and structured review of medical records and reached a consensus on a patient's OUD risk level, which was then compared to the ML application's risk assignments. Results: A total of 78,587 patients without cancer with at least 1 opioid prescription were identified as follows: not high risk (n=50,405, 64.1%), high risk (n=16,636, 21.2%), and suspected OUD or OUD (n=11,546, 14.7%). The sample of 180 patients was representative of the total population in terms of age, sex, and race. The interrater reliability between the ML application and clinicians had a weighted kappa coefficient of 0.62 (95% CI 0.53-0.71), indicating good agreement. Combining the high risk and suspected OUD or OUD categories and using the review of medical records as a gold standard, the ML application had a corrected sensitivity of 56.6% (95% CI 48.7%-64.5%) and a corrected specificity of 94.2% (95% CI 90.3%-98.1%). The positive and negative predictive values were 93.3% (95% CI 88.2%-96.3%) and 60.0% (95% CI 50.4%-68.9%), respectively. Key themes for disagreements between the ML application and clinician reviews were identified. Conclusions: A systematic comparison was conducted between an ML application and clinicians for identifying OUD risk. The ML application generated clinically valid and useful alerts about patients' different OUD risk levels. ML applications hold promise for identifying patients at differing levels of OUD risk and will likely complement traditional rule-based approaches to generating alerts about opioid safety issues.

Mechanisms of synapse-to-nucleus calcium signalling in striatal neurons and impairments in Huntington's disease.

Huntington's disease (HD) is a monogenic disorder with autosomal dominant inheritance. In HD patients, neurons in the striatum and cortex degenerate, leading to motor, psychiatric and cognitive disorders. Dysregulated synaptic function and calcium handling are common in many neurodegenerative diseases, including HD. N-methyl-D-aspartate (NMDA) receptor function is enhanced in HD at extrasynaptic sites, altering the balance of calcium-dependent neuronal survival versus death signalling pathways. Endoplasmic reticulum (ER) calcium handling is also abnormal in HD. The ER, which is continuous with the nuclear envelope, is purportedly involved in nuclear calcium signalling; based on this, we hypothesised that nuclear calcium signalling is altered in HD. We explored this hypothesis with calcium imaging techniques, including simultaneous epifluorescent imaging of cytosolic and nuclear calcium using jRCaMP1b and GCaMP3 sensors, respectively, in striatal spiny projection neurons in cortical-striatal co-cultures from the YAC128 mouse model of HD. Our data show contributions from a variety of calcium channels to nuclear calcium signalling. NMDA receptors (NMDARs) play an essential role in initiating action potential-dependent calcium signalling to the nucleus, and ryanodine receptors (RyR) contribute to both cytosolic and nuclear calcium signals. Unlike previous reports in glutamatergic hippocampal and cortical neurons, we found that in GABAergic striatal neurons, L-type voltage-gated calcium channels (CaV) contribute to cytosolic, but not nuclear calcium signalling. Calcium imaging also suggests impairments in nuclear calcium signalling in HD striatal neurons, where spontaneous action potential-dependent calcium transients in the nucleus were smaller in YAC128 striatal neurons compared to those of wild-type (WT). Our results elucidate mechanisms involved in action potential-dependent nuclear calcium signalling in GABAergic striatal neurons, and have revealed a clear deficit in this signalling in HD.