Assessing Machine Learning for Diagnostic Classification of Hypertension Types Identified by Ambulatory Blood Pressure Monitoring.

Background: Inaccurate blood pressure (BP) classification results in inappropriate treatment. We tested whether machine learning (ML), using routine clinical data, can serve as a reliable alternative to ambulatory BP monitoring (ABPM) in classifying BP status. Methods: This study employed a multicentre approach involving 3 derivation cohorts from Glasgow, Gdansk, and Birmingham, and a fourth independent evaluation cohort. ML models were trained using office BP, ABPM, and clinical, laboratory, and demographic data, collected from patients referred for hypertension assessment. Seven ML algorithms were trained to classify patients into 5 groups, named as follows: Normal/Target; Hypertension-Masked; Normal/Target-White-Coat (WC); Hypertension-WC; and Hypertension. The 10-year cardiovascular outcomes and 27-year all-cause mortality risks were calculated for the ML-derived groups using the Cox proportional hazards model. Results: Overall, extreme gradient boosting (using XGBoost open source software) showed the highest area under the receiver operating characteristic curve of 0.85-0.88 across derivation cohorts, Glasgow (n = 923; 43% female; age 50.7 ± 16.3 years), Gdansk (n = 709; 46% female; age 54.4 ± 13 years), and Birmingham (n = 1222; 56% female; age 55.7 ± 14 years). But accuracy (0.57-0.72) and F1 (harmonic mean of precision and recall) scores (0.57-0.69) were low across the 3 patient cohorts. The evaluation cohort (n = 6213; 51% female; age 51.2 ± 10.8 years) indicated elevated 10-year risks of composite cardiovascular events in the Normal/Target-WC and the Hypertension-WC groups, with heightened 27-year all-cause mortality observed in all groups, except the Hypertension-Masked group, compared to the Normal/Target group. Conclusions: ML has limited potential in accurate BP classification when ABPM is unavailable. Larger studies including diverse patient groups and different resource settings are warranted.

Contexte: Les erreurs dans la classification des valeurs de la pression artérielle (PA) entraînent une inadéquation du traitement. Nous avons tâché de déterminer si l'apprentissage machine, à l'aide de données cliniques routinières, constituait une solution de rechange fiable à la surveillance ambulatoire de la PA pour définir le statut de la PA. Méthodologie: Cette étude a utilisé une approche multicentrique incluant trois cohortes de dérivation de Glasgow, Gdansk et Birmingham, et une quatrième cohorte d'évaluation indépendante. Les modèles d'apprentissage machine ont été développés en analysant les données démographiques, les valeurs de la PA mesurée au cabinet, les données relatives à la surveillance ambulatoire de la PA et aux épreuves de laboratoire recueillies auprès de patients adressés pour une évaluation de l'hypertension. Sept algorithmes d'apprentissage machine ont été appliqués pour classer les patients en cinq groupes : Normale/Cible; Hypertension-Masquée; Normal/Cible-Blouse blanche; Hypertension-Blouse blanche; Hypertension. Les événements cardiovasculaires sur 10 ans et le risque de mortalité toutes causes confondues sur 27 ans ont été calculés dans les groupes dérivés de l'apprentissage machine à l'aide d'un modèle de risques proportionnels de Cox. Résultats: D'une manière générale, l'amplification de gradient extrême (à l'aide du logiciel ouvert XGBoost) a mis en évidence l'aire sous la courbe de la fonction d'efficacité du récepteur (courbe ROC pour Receiver Operating Characteristic) la plus haute, soit 0,85 à 0,88, pour toutes les cohortes de dérivation : Glasgow (n = 923; 43 % de femmes; âge : 50,7 ± 16,3 ans); Gdansk (n = 709; 46 % de femmes; âge : 54,4 ± 13 ans); Birmingham (n = 1 222; 56 % de femmes; âge : 55,7 ± 14 ans). La précision (0,57 ­ 0,72) et le score F1 (moyenne harmonique de la précision et du rappel) (0,57 ­ 0,69) ont été faibles dans les trois cohortes de patients. La cohorte d'évaluation (n = 6 213; 51 % de femmes; âge : 51,2 ± 10,8 ans) a indiqué un risque d'événements cardiovasculaires composites sur 10 ans élevé dans les groupes Normale/Cible-Blouse blanche et Hypertension-Blouse blanche, tandis qu'une hausse de la mortalité toutes causes confondues sur 27 ans a été observée dans tous les groupes, sauf dans le groupe Hypertension-Masquée, comparativement au groupe Normale/Cible. Conclusions: Le potentiel d'exactitude de la classification de la PA à l'aide de l'apprentissage machine lorsque la surveillance ambulatoire de la PA n'est pas possible est limité. Des études de plus grande envergure portant sur des groupes de patients et des niveaux de ressources diversifiés s'imposent.

Rescue extracranial vertebral stenting in tandem occlusions: A preliminary Vietnamese study.

BACKGROUND AND PURPOSE: The acute vertebrobasilar occlusion associated with the poor prognosis, particularly tandem occlusion. However, few data on the efficacy of the endovascular therapy was indicated in this occlusion. We investigated whether the additional rescue extracranial vertebral stenting improved clinical outcome by modified Rankin scale (mRS) score within 3 months after the procedure. METHODS: This was a retrospective analysis of patients with acute posterior tandem occlusion who were treated with rescue extracranial vertebral stenting between December 2020 and January 2024 at our hospital. Clinical, neuroimaging, procedural, and complication data were collected. Primary outcomes included the rate of good outcomes (mRS ≤ 2) at 3-month follow-up. RESULTS: Nine patients who underwent rescue extracranial vertebral stenting in posterior circulation tandem occlusions were enrolled in the study. All patients were achieved the successful recanalization (mTICI ≥ 2b). Of Dotter technique in the "distal-to-proximal" approach, Diagnostic-Dotter made up 66.7%. Five patients (55.6%) with good outcome (mRS ≤ 2) at 3 months, and 1 patient (11.1%) underwent suboccipital decompressive craniectomy due to the malignant cerebellar infarction. CONCLUSION: Our study suggests that despite the small series with posterior tandem occlusions, the rescue extracranial vertebral stenting could be an important alternative treatment followed by mechanical thrombectomy.

A Novel Use of the "3-Day Rule": Post-discharge Methadone Dosing in the Emergency Department.

Introduction: Methadone is a medically necessary and lifesaving medication for many patients with opioid use disorder. To adequately address these patients' needs, methadone should be offered in the hospital, but barriers exist that limit its continuation upon discharge. The code of federal regulations allows for methadone dosing as an inpatient as well as outpatient dispensing for up to three days to facilitate linkage to treatment. As a quality initiative, we created a new workflow for discharging patients on methadone to return to the emergency department (ED) for uninterrupted dosing. Methods: Our addiction medicine team changed hospital methadone policy to better allow hospitalization as a window of opportunity to start methadone. This necessitated the creation of a warm-handoff process to link patients to methadone clinics if that linkage could not happen immediately on discharge. Thus, our team created the "ED Bridge" process, which uses the "3-day rule" to dispense methadone from the ED post hospital discharge. We then followed every patient we directed through this workflow as an observational cohort for outcomes and trends. Results: Of the patients for whom ED bridge dosing was planned, 40.4% completed all bridge dosing and an additional 17.3% received at least one but not all bridge doses. Established methadone patients made up 38.1% of successful linkages, and 61.9% were patients who were newly started on methadone in the hospital. Conclusion: Improving methadone as a treatment option remains an ongoing issue for policymakers and advocates. Our ED bridge workflow allows us to expand access and continuation of methadone now using existing laws and regulations, and to better use hospitals as a point of entry into methadone treatment.

Systematic literature review of the impact of psychiatric pharmacists.

Introduction: Pharmacists focusing on psychotropic medication management and practicing across a wide variety of healthcare settings have significantly improved patient-level outcomes. The Systematic Literature Review Committee of the American Association of Psychiatric Pharmacists was tasked with compiling a comprehensive database of primary literature highlighting the impact of psychiatric pharmacists on patient-level outcomes. Methods: A systematic search of literature published from January 1, 1961, to December 31, 2022, was conducted using PubMed and search terms based on a prior American Association of Psychiatric Pharmacists literature review. Publications describing patient-level outcome results associated with pharmacist provision of care in psychiatric/neurologic settings and/or in relation to psychotropic medications were included. The search excluded articles for which there was no pharmacist intervention, no psychiatric disorder treatment, no clinical outcomes, no original research, no access to full text, and/or no English-language version. Results: A total of 4270 articles were reviewed via PubMed, with 4072 articles excluded based on title, abstract, and/or full text in the initial pass and 208 articles selected for inclusion. A secondary full-text review excluded 11 additional articles, and 5 excluded articles were ultimately included based on a secondary review, for a final total of 202 articles meeting the inclusion criteria. A comprehensive database of these articles was compiled, including details on their study designs and outcomes. Discussion: The articles included in the final database had a wide range of heterogeneity. While the overall impact of psychiatric pharmacists was positive, the study variability highlights the need for future publications to have more consistent, standardized outcomes with stronger study designs.

Development of gelatin/agarose active coatings functionalized with Ocimum gratissimum L. essential oil for enhancing storability of 'Booth 7' avocado.

Novel active coating from gelatin/agarose (GA) functionalized with Ocimum gratissimum L. essential oil (OGO) had been developed as a medium to evaluate their properties before being applied for avocado preservation. The resultant coating films showed enhanced mechanical, water-barrier, bactericidal, antioxidant, and UV-shielding properties by adding OGO. The best tensile strength (2.91 MPa) and flexibility (45.82 %) was found in the GA film containing 5 % (w/w) of OGO (GA-OGO-5). Furthermore, this coating formulation presented moderate antibacterial activities against Listeria, Pseudomonas, Salmonella, and Escherichia. The GA-OGO-5 coating film also divulged the highest hydrophobicity and adequate antioxidant function (30.75 µg/mL) and thus, was chosen to coat on 'Booth 7' avocados by dipping method. The GA-OGO-5 coating layers were to be efficient to decline the respiration rate of avocado during 6-day storage at 25 °C and 64 %RH. Peel color, weight loss (5.22 %), total soluble solids (8.14 %), and solution pH (6.79) at the end of storage also indicated that the GA-OGO-5 coating presented the best effectiveness for enhancing the storability of avocado as compared to uncoated and GA-treated fruit. Therefore, the GA-OGO coating has been considered as an alternative post-harvest technique to enhance the avocado storability and could be further commercialized for industry application.

Pilot feasibility and acceptability trial of BE REAL's BodyKind: A universal school-based body image intervention for adolescents.

Body dissatisfaction is prevalent among adolescents and a primary risk factor for eating disorders, yet there are few body image interventions for older adolescents that support development of positive body image. Therefore, we assessed the feasibility, acceptability and preliminary effectiveness of BodyKind, a four-lesson, mixed gender, teacher-led, school-based curriculum for older adolescents, that combines principles of self-compassion, compassion for others, cognitive dissonance, and social activism to address contemporary adolescent body image concerns (i.e., appearance bias, comparisons on social media) and strengthen positive body image development. The sample contained 147 adolescents, predominantly racial/ethnic minorities (>95%), 54.8% male, 41.5% female and 4.1% gender-minority students aged 15-18 years (M=16.24, SD=.96) from a low-income, inner-city high school in the Midwestern US. Two teachers received training and delivered the curriculum to students. This single arm, mixed methods trial assessed student and teacher acceptability, teacher fidelity and student intervention outcomes. Despite reasonable teacher fidelity, recruitment/attendance rates, post-intervention data loss (35% attrition) limited evaluations of program effectiveness and study feasibility. Important learnings regarding study feasibility will inform optimisation for future school-based trials. Findings demonstrate high acceptability of BodyKind among teachers and adolescents in a lower socioeconomic school setting, and further randomized controlled effectiveness trials are required.

Giant coronary artery fistula: A case report.

Coronary artery fistulas (CAFs) are abnormal connections of coronary arteries where venous circuits bypass the normal capillaries in the myocardium. CAFs are rare, and most patients are asymptomatic. However, CAFs are the most common coronary artery anomalies affecting coronary hemodynamics. While most CAFs are asymptomatic in young patients, symptoms and complications become more frequent with increasing age. CAFs are characterized by variable clinical manifestations based on their size, origin, and drainage site. We describe a 35-year-old woman presenting with the shortness of breath after walking. Despite attempting medical treatment, the patient continued to experience dyspnea, fatigue, fainting the and chest pain episodes. After admission, cardiac imaging was immediately performed and recorded symptomatic CAFs. Percutaneous transcatheter closure treatment was indicated. The patient was discharged with clinical recovery. The treatment of symptomatic CAFs often requires the clear cardiac imaging and endovascular approach to achieve the best clinical results.

Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation.

Immune checkpoint inhibitors (ICIs) and Janus kinase inhibitors (JAKis) have raised concerns over serious unexpected cardiovascular adverse events. The widespread pleiotropy in genome-wide association studies offers an opportunity to identify cardiovascular risks from in-development drugs to help inform appropriate trial design and pharmacovigilance strategies. This study uses the Mendelian randomization (MR) approach to study the causal effects of 9 cardiovascular risk factors on ischemic stroke risk both independently and by mediation, followed by an interrogation of the implicated expression quantitative trait loci (eQTLs) to determine if the enriched pathways can explain the adverse stroke events observed with ICI or JAKi treatment. Genetic predisposition to higher systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), waist-to-hip ratio (WHR), low-density lipoprotein cholesterol (LDL), triglycerides (TG), type 2 diabetes (T2DM), and smoking index were associated with higher ischemic stroke risk. The associations of genetically predicted BMI, WHR, and TG on the outcome were attenuated after adjusting for genetically predicted T2DM [BMI: 53.15% mediated, 95% CI 17.21%-89.10%; WHR: 42.92% (4.17%-81.67%); TG: 72.05% (10.63%-133.46%)]. JAKis, programmed cell death protein 1 and programmed death ligand 1 inhibitors were implicated in the pathways enriched by the genes related to the instruments for each of SBP, DBP, WHR, T2DM, and LDL. Overall, MR mediation analyses support the role of T2DM in mediating the effects of BMI, WHR, and TG on ischemic stroke risk and follow-up pathway enrichment analysis highlights the utility of this approach in the early identification of potential harm from drugs.

Survey and Evaluation of Hypertension Machine Learning Research.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to complex decision-making. However, applications in different specialities are variable and generally limited. Like other conditions, the number of studies employing ML in hypertension research is growing rapidly. In this study, we aimed to survey hypertension research using ML, evaluate the reporting quality, and identify barriers to ML's potential to transform hypertension care. Methods and Results The Harmonious Understanding of Machine Learning Analytics Network survey questionnaire was applied to 63 hypertension-related ML research articles published between January 2019 and September 2021. The most common research topics were blood pressure prediction (38%), hypertension (22%), cardiovascular outcomes (6%), blood pressure variability (5%), treatment response (5%), and real-time blood pressure estimation (5%). The reporting quality of the articles was variable. Only 46% of articles described the study population or derivation cohort. Most articles (81%) reported at least 1 performance measure, but only 40% presented any measures of calibration. Compliance with ethics, patient privacy, and data security regulations were mentioned in 30 (48%) of the articles. Only 14% used geographically or temporally distinct validation data sets. Algorithmic bias was not addressed in any of the articles, with only 6 of them acknowledging risk of bias. Conclusions Recent ML research on hypertension is limited to exploratory research and has significant shortcomings in reporting quality, model validation, and algorithmic bias. Our analysis identifies areas for improvement that will help pave the way for the realization of the potential of ML in hypertension and facilitate its adoption.

Plasma cell-free RNA profiling of Vietnamese Alzheimer's patients reveals a linkage with chronic inflammation and apoptosis: a pilot study.

Introduction: Circulating cell-free RNA (cfRNA) is a potential hallmark for early diagnosis of Alzheimer's Disease (AD) as it construes the genetic expression level, giving insights into the pathological progress from the outset. Profiles of cfRNA in Caucasian AD patients have been investigated thoroughly, yet there was no report exploring cfRNAs in the ASEAN groups. This study examined the gap, expecting to support the development of point-of-care AD diagnosis. Methods: cfRNA profiles were characterized from 20 Vietnamese plasma samples (10 probable AD and 10 age-matched controls). RNA reads were subjected to differential expression (DE) analysis. Weighted gene correlation network analysis (WGCNA) was performed to identify gene modules that were significantly co-expressed. These modules' expression profiles were then correlated with AD status to identify relevant modules. Genes with the highest intramodular connectivity (module membership) were selected as hub genes. Transcript counts of differentially expressed genes were correlated with key AD measures-MMSE and MTA scores-to identify potential biomarkers. Results: 136 genes were identified as significant AD hallmarks (p < 0.05), with 52 downregulated and 84 upregulated in the AD cohort. 45.6% of these genes are highly expressed in the hippocampus, cerebellum, and cerebral cortex. Notably, all markers related to chronic inflammation were upregulated, and there was a significant shift in all apoptotic markers. Three co-expressed modules were found to be significantly correlated with Alzheimer's status (p < 0.05; R2> 0.5). Functional enrichment analysis on these modules reveals an association with focal adhesion, nucleocytoplasmic transport, and metal ion response leading to apoptosis, suggesting the potential participation of these pathways in AD pathology. 47 significant hub genes were found to be differentially expressed genes with the highest connectivity. Six significant hub genes (CREB1, YTHDC1, IL1RL1, PHACTR2, ANKRD36B, RNF213) were found to be significantly correlated with MTA and MMSE scores. Other significant transcripts (XRN1, UBB, CHP1, THBS1, S100A9) were found to be involved in inflammation and neuronal death. Overall, we have identified candidate transcripts in plasma cf-RNA that are differentially expressed and are implicated in inflammation and apoptosis, which can jumpstart further investigations into applying cf-RNA as an AD biomarker in Vietnam and ASEAN countries.

Machine learning integration of multimodal data identifies key features of blood pressure regulation.

BACKGROUND: Association studies have identified several biomarkers for blood pressure and hypertension, but a thorough understanding of their mutual dependencies is lacking. By integrating two different high-throughput datasets, biochemical and dietary data, we aim to understand the multifactorial contributors of blood pressure (BP). METHODS: We included 4,863 participants from TwinsUK with concurrent BP, metabolomics, genomics, biochemical measures, and dietary data. We used 5-fold cross-validation with the machine learning XGBoost algorithm to identify features of importance in context of one another in TwinsUK (80% training, 20% test). The features tested in TwinsUK were then probed using the same algorithm in an independent dataset of 2,807 individuals from the Qatari Biobank (QBB). FINDINGS: Our model explained 39·2% [4·5%, MAE:11·32 mmHg (95%CI, +/- 0·65)] of the variance in systolic BP (SBP) in TwinsUK. Of the top 50 features, the most influential non-demographic variables were dihomo-linolenate, cis-4-decenoyl carnitine, lactate, chloride, urate, and creatinine along with dietary intakes of total, trans and saturated fat. We also highlight the incremental value of each included dimension. Furthermore, we replicated our model in the QBB [SBP variance explained = 45·2% (13·39%)] cohort and 30 of the top 50 features overlapped between cohorts. INTERPRETATION: We show that an integrated analysis of omics, biochemical and dietary data improves our understanding of their in-between relationships and expands the range of potential biomarkers for blood pressure. Our results point to potentially key biological pathways to be prioritised for mechanistic studies. FUNDING: Chronic Disease Research Foundation, Medical Research Council, Wellcome Trust, Qatar Foundation.

Unravelling the Distinct Effects of Systolic and Diastolic Blood Pressure Using Mendelian Randomisation.

A true discrepancy between the effect of systolic blood pressure (SBP) and diastolic blood pressure (DBP) on cardiovascular (CV) outcomes remains unclear. This study performed two-sample Mendelian randomization (MR) using genetic instruments that exclusively predict SBP, DBP or both to dissect the independent effect of SBP and DBP on a range of CV outcomes. Genetic predisposition to higher SBP and DBP was associated with increased risk of coronary artery disease (CAD), myocardial infarction (MI), stroke, heart failure (HF), atrial fibrillation (AF), chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM). Genetically proxied SBP exclusively was associated with CAD (OR 1.18, 95% CI: 1.03-1.36, per 10 mmHg), stroke (1.44[1.28-1.62]), ischemic stroke (1.49[1.30-1.69]), HF (1.41[1.20-1.65]), AF (1.28[1.15-1.43]), and T2DM (1.2[1.13-1.46]). Genetically proxied DBP exclusively was associated with stroke (1.21[1.06-1.37], per 5 mmHg), ischemic stroke (1.24[1.09-1.41]), stroke small-vessel (1.35[1.10-1.65]) and CAD (1.19[1.00-1.41]). Multivariable MR using exclusive SBP and DBP instruments showed the predominant effect of SBP on CAD (1.23[1.05-1.44], per 10 mmHg), stroke (1.39[1.20-1.60]), ischemic stroke (1.44[1.25-1.67]), HF (1.42[1.18-1.71]), AF (1.26[1.10-1.43]) and T2DM (1.31[1.14-1.52]). The discrepancy between effects of SBP and DBP on outcomes warrants further studies on underpinning mechanisms which may be amenable to therapeutic targeting.

A Multi-Site Qualitative Study Examining Pharmacy Student Perspectives on the Opioid Crisis.

Objective. To determine pharmacy students' perspectives regarding opioid use, the opioid crisis, and pharmacy education related to both topics.Methods. Students from each professional year at eight participating schools and colleges of pharmacy were invited to participate in focus groups and answer questions about their experiences with the opioid crisis. Faculty and/or staff moderated the focus groups and audio-recorded responses. Recordings were deidentified, transcribed, and analyzed.Results. One hundred fifty students participated in one of 29 focus groups conducted. Responses were categorized according to themes using consensual qualitative research (CQR) methodology. Sources impacting student views on the crisis included school, personal and work experience, and media. Perspective changes since starting school included increased knowledge and awareness and decreased bias/stigma.Conclusion. Conducting focus groups on the opioid crisis provided pharmacy schools with information on what student pharmacists are learning about the crisis, practices they see, and their recommendations to address the crisis. Pharmacy schools can better prepare students to combat the opioid crisis by providing them with training in opioid counseling, use of naloxone, and how to have difficult conversations with patients.

Phage Biocontrol of Bacterial Leaf Blight Disease on Welsh Onion Caused by Xanthomonas axonopodis pv. allii.

Bacterial leaf blight, which is caused by Xanthomonas axonopodis pv. allii, annually causes significant yield losses to Welsh onion in many producing countries, including Vietnam. In this study, we isolated and characterized lytic phages Φ16, Φ17A and Φ31, specific to X. axonopodis pv. allii and belonging to a new phage species and genus within the Autographiviridae, from four provinces in the Mekong Delta of Vietnam. Moreover, we evaluated their efficacy for the biocontrol of leaf blight in greenhouse and field conditions. When applying the three highly related phages individually or as a three-phage cocktail at 108 PFU/mL in greenhouse conditions, our results show that treatment with Φ31 alone provides higher disease prevention than the two other phages or the phage cocktail. Furthermore, we compared phage concentrations from 105 to 108 and showed optimal disease control at 107 and 108 PFU/mL. Finally, under field conditions, both phage Φ31 alone and the phage cocktail treatments suppressed disease symptoms, which was comparable to the chemical bactericide oxolinic acid (Starner). Phage treatment also significantly improved yield, showing the potential of phage as a biocontrol strategy for managing leaf blight in Welsh onion.

Artificial Intelligence in Hypertension: Seeing Through a Glass Darkly.

Hypertension remains the largest modifiable cause of mortality worldwide despite the availability of effective medications and sustained research efforts over the past 100 years. Hypertension requires transformative solutions that can help reduce the global burden of the disease. Artificial intelligence and machine learning, which have made a substantial impact on our everyday lives over the last decade may be the route to this transformation. However, artificial intelligence in health care is still in its nascent stages and realizing its potential requires numerous challenges to be overcome. In this review, we provide a clinician-centric perspective on artificial intelligence and machine learning as applied to medicine and hypertension. We focus on the main roadblocks impeding implementation of this technology in clinical care and describe efforts driving potential solutions. At the juncture, there is a critical requirement for clinical and scientific expertise to work in tandem with algorithmic innovation followed by rigorous validation and scrutiny to realize the promise of artificial intelligence-enabled health care for hypertension and other chronic diseases.

Leveraging pharmacists to maintain and extend buprenorphine supply for opioid use disorder amid COVID-19 pandemic.

PURPOSE: Strategies for deploying clinical pharmacists to increase access to buprenorphine in inpatient, outpatient and transitional care, and community practice settings are described. SUMMARY: Access to medications for opioid use disorder (MOUD) is essential, but patients face many barriers when pursuing treatment and MOUD. The coronavirus disease 2019 (COVID-19) pandemic has compounded the opioid crisis and worsened outcomes by introducing new barriers to MOUD access. Many strategies to ensure continued access to MOUD have been described, but the role of leveraging pharmacists during the opioid/COVID-19 syndemic to improve medication access and outcomes remains underappreciated. Pharmacists, while both qualified and capable of liberalizing access to all forms of MOUD, may have the strongest impact by increasing access to buprenorphine. Herein, we present progressive strategies to maintain and extend buprenorphine access for patients with OUD through deployment of clinical pharmacists, particularly in the context of the COVID-19 pandemic, during which access may be further restricted. CONCLUSION: Leveraging pharmacists to extend access to MOUD, particularly buprenorphine, remains an underutilized strategy that should be implemented, particularly during the concurrent COVID-19 global pandemic.

The substance use intervention team: A hospital-based intervention and outpatient clinic to improve care for patients with substance use disorders.

PURPOSE: In response to the opioid crisis, public health advocates urge hospitals to perform substance use disorder (SUD) screening, brief intervention, discharge planning with referral to treatment, and naloxone education. Universal screening makes specialized treatment available to all patients and decreases stigma around SUDs, allowing patients and providers to address SUDs during their hospitalization. Additionally, hospital and emergency department-initiated medications to treat SUD improve patient engagement with treatment and decrease opioid use, and use of medications for opioid use disorder after nonfatal overdoses decreases mortality. SUMMARY: A substance use intervention team (SUIT) service was established to offer universal screening and consultation by an interdisciplinary team at our urban academic medical center. The SUIT program provides inpatient consultation services as well as medical and behavioral clinic visits to transition patients to long-term treatment and is comprised of physicians, nurse practitioners, a clinical pharmacist, social workers, and a nurse. Successes attributed to enhanced medication use as a function of having a designated pharmacist as an integral member of the team are highlighted. Our medical center initiated screening efforts in tandem with its interdisciplinary team and clinic. The team attempts to start appropriately selected patients with SUD on medications for SUD while hospitalized. From January through December 2018, 87.2% of patients admitted to the hospital received initial SUD screening. Of the patients who screened positive, 1,400 received a brief intervention by a unit social worker; the SUIT service was consulted on 880 patients, and multiple medications for SUD were started during inpatient care. CONCLUSION: A screening, brief intervention, and referral to treatment service was successfully implemented in our hospital, with the SUIT program in place to provide interdisciplinary addiction care and initiate medications for SUD in appropriate patients.

Factors Affecting Contraception Access and Use in Patients With Opioid Use Disorder.

Maternal opioid use disorder increased > 4-fold from 1999 to 2014 and is associated with poor maternal and fetal outcomes. Women with opioid use disorder are at 2 to 3 times greater risk for unintended pregnancy than the general population and may face additional barriers to accessing and effectively using contraception compared to women without opioid use disorder, particularly highly effective long-acting reversible contraception. Additionally, women with opioid use disorder tend to use less effective forms of contraception such as condoms alone. Barriers to contraceptive access include patient misconceptions or knowledge gaps regarding reproductive health and family planning, cost, intimate partner violence, fear of criminalization, difficulty accessing care, comorbid health conditions, and health care provider misconceptions or practice limitations. Strategies that may assist women with opioid use disorder in achieving their family planning goals include colocation of family planning services within opioid treatment facilities, optimization of patient care services to minimize the need for costly and/or time consuming follow-up, increasing provider education and awareness of best practices in family planning and opioid use disorder treatment, and providing patient-centered family planning education and counseling. Additional research is needed to identify and develop strategies that empower women who use opioids to effectively access and use their preferred contraceptive method.

Barriers to and factors influencing the pursuit of pharmacy student research.

INTRODUCTION: The objective of this study was to identify perceived barriers and factors influencing student pursuit of research during pharmacy school. METHODS: A voluntary, paper-based or electronic questionnaire was administered to all pharmacy students at a private college of pharmacy in mandatory courses during the 2016-2017 academic year. Survey questions collected information pertaining to demographics, factors influencing student pursuit of research, and barriers to pursuit of research. Participation was incentivized with gift cards. RESULTS: A total of 623 students completed the survey (79% response rate). The average respondent was female (69.1%), 25-years old (IQR 23-26 years), employed (69.9%), and had a prior degree (66.6%). During pharmacy school, 27.3% of respondents pursued a research project. Of students not pursuing a research project during pharmacy school, the amount of interest to complete a project differed significantly between professional years (P < .01) with the second-year class having the highest interest. Lack of time (91.3%), unfamiliarity with the research process (81.8%), and too much coursework (80.5%) were cited as the top three perceived barriers that prevented students from pursuing research. A mandatory research class (87.6%), presentations describing faculty research interests (83.4%), and ability to work with a friend (83.9%) would most strongly influence students to complete research. CONCLUSIONS: Students report additional information regarding research opportunities would positively influence their decision to pursue research while in pharmacy school. Future studies should evaluate strategies to familiarize students with the research process.