Attitudes and Intentions toward Use of HIV Pre-Exposure Prophylaxis (PrEP) among Adults Receiving Treatment for Opioid Use.

Background: Although pre-exposure prophylaxis (PrEP) prevents HIV, little is known about PrEP awareness and factors associated with intention to take PrEP among people with opioid use disorder (OUD). Methods: HIV-negative adults recruited from an outpatient treatment program in Cincinnati, Ohio completed self-administered surveys. Items derived from literature and health behavioral theory included demographics, sexual and drug use behaviors, HIV prevention practices, PrEP knowledge, and attitudes toward PrEP. Primary outcomes were 1) intention to ask a clinician about PrEP and 2) intention to accept PrEP if recommended by a clinician. Outcomes were dichotomized into higher vs. lower intention for analyses in logistic regression models. Results: Among 198 participants, 60.3% reported past injection drug use. Among 58 participants (29.3%) meeting criteria for PrEP, 24% were aware of PrEP, 15.5% had discussed it with a clinician, and 5% had taken it. Factors associated with intention to ask a clinician about PrEP included being somewhat confident about consistent condom use (p < 0.01), motivation to comply with normative beliefs (p < 0.01), and reporting that PrEP fits very well (p < 0.01) and is easy to fit (p < 0.01) into current prevention practices. Factors associated with intention to accept PrEP if recommended by a clinician included motivation to comply with normative beliefs (p < 0.01) and PrEP being easy to fit into current prevention practices (p < 0.01). Conclusion: Among participants meeting indications for PrEP, only 24% were aware of it and few had taken it. Interventions that normalize PrEP and target incorporating PrEP into current prevention practices may improve uptake among individuals with OUD.

Xenbase: key features and resources of the Xenopus model organism knowledgebase.

Xenbase (https://www.xenbase.org/), the Xenopus model organism knowledgebase, is a web-accessible resource that integrates the diverse genomic and biological data from research on the laboratory frogs Xenopus laevis and Xenopus tropicalis. The goal of Xenbase is to accelerate discovery and empower Xenopus research, to enhance the impact of Xenopus research data, and to facilitate the dissemination of these data. Xenbase also enhances the value of Xenopus data through high-quality curation, data integration, providing bioinformatics tools optimized for Xenopus experiments, and linking Xenopus data to human data, and other model organisms. Xenbase also plays an indispensable role in making Xenopus data interoperable and accessible to the broader biomedical community in accordance with FAIR principles. Xenbase provides annotated data updates to organizations such as NCBI, UniProtKB, Ensembl, the Gene Ontology consortium, and most recently, the Alliance of Genomic Resources, a common clearing house for data from humans and model organisms. This article provides a brief overview of key and recently added features of Xenbase. New features include processing of Xenopus high-throughput sequencing data from the NCBI Gene Expression Omnibus; curation of anatomical, physiological, and expression phenotypes with the newly created Xenopus Phenotype Ontology; Xenopus Gene Ontology annotations; new anatomical drawings of the Normal Table of Xenopus development; and integration of the latest Xenopus laevis v10.1 genome annotations. Finally, we highlight areas for future development at Xenbase as we continue to support the Xenopus research community.

Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test.

BACKGROUND: Prescription drug monitoring programs (PDMPs) are critical for pharmacists to identify risky opioid medication use. We performed an independent evaluation of the PDMP-based Narcotic Score (NS) metric. METHODS: This study was a one-time, cross-sectional health assessment within 19 pharmacies from a national chain among adults picking-up opioid medications. The NS metric is a 3-digit composite indicator. The WHO Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was the gold-standard to which the NS metric was compared. Machine learning determined optimal risk thresholds; Receiver Operating Characteristic curves and Spearman (P) and Kappa (K) coefficients analyzed concurrent validity. Regression analyses evaluated participant characteristics associated with misclassification. RESULTS: The NS metric showed fair concurrent validity (area under the curve≥0.70; K=0.35; P = 0.37, p < 0.001). The ASSIST and NS metric categorized 37% of participants as low-risk (i.e., not needing screening/intervention) and 32.3% as moderate/high-risk (i.e., needing screening/intervention). Further, 17.2% were categorized as low ASSIST risk but moderate/high NS metric risk, termed false positives. These reported disability (OR=3.12), poor general health (OR=0.66), and/or greater pain severity/interference (OR=1.12/1.09; all p < 0.05; i.e., needing unmanaged-pain screening/intervention). A total of 13.4% were categorized as moderate/high ASSIST risk but low NS metric risk, termed false negatives. These reported greater overdose history (OR=1.24) and/or substance use (OR=1.81-12.66; all p < 0.05). CONCLUSIONS: The NS metric could serve as a useful initial universal prescription opioid-risk screener given its: 1) low-burden (i.e., no direct assessment); 2) high accuracy (86.5%) of actionable data identifying low-risk patients and those needing opioid use/unmanaged pain screening/intervention; and 3) broad availability.