UNASSIGNED: Artificial intelligence (AI) has the capability to analyze vast amounts of data and has been applied in various healthcare sectors. However, its effectiveness in aiding pharmacotherapy decision-making remains uncertain due to the intricate, patient-specific, and dynamic nature of this field.
UNASSIGNED: This study sought to investigate the potential of AI in guiding pharmacotherapy decisions using clinical data such as diagnoses, laboratory results, and vital signs obtained from routine patient care.
UNASSIGNED: Data of a previous study on medication therapy optimization was updated and adapted for the purpose of this study. Analysis was conducted using R software along with the tidymodels extension packages. The dataset was split into 74% for training and 26% for testing. Decision trees were selected as the primary model due to their simplicity, transparency, and interpretability. To prevent overfitting, bootstrapping techniques were employed, and hyperparameters were fine-tuned. Performance metrics such as areas under the curve and accuracies were computed.
UNASSIGNED: The study cohort comprised 101 elderly patients with multiple diagnoses and complex medication regimens. The AI model demonstrated prediction accuracies ranging from 38% to 100% for various cardiovascular drug classes. Laboratory data and vital signs could not be interpreted, as the effect and dependence were unclear for the model. The study revealed that the issue of AI lag time in responding to sudden changes could be addressed by manually adjusting decision trees, a task not feasible with neural networks.
UNASSIGNED: In conclusion, the AI model exhibited promise in recommending appropriate medications for individual patients. While the study identified several obstacles during model development, most were successfully resolved. Future AI studies need to include the drug effect, not only the drug, if laboratory data is part of the decision. This could assist with interpreting their potential relationship. Human oversight and intervention remain essential for an AI-driven pharmacotherapy decision support system to ensure safe and effective patient care.

OBJECTIVE: This study aimed to investigate acamprosate and naltrexone dispensing patterns in Australia.
METHODS: A 10% representative sample of medications subsidized by the Australian Pharmaceutical Benefits Scheme (PBS) was used to identify individuals who were dispensed naltrexone or acamprosate between January 2006 and December 2023. Data were used to examine concurrent dispensing, medication switching and treatment episode length, as well as changes in prevalence and incidence over time.
RESULTS: During the study, we identified 22 745 individuals with a total of 117 548 dispensed prescriptions (45.3% naltrexone, 43.0% acamprosate, and 11.7% concurrent dispensing). Alcohol pharmacotherapy dispensing occurred in 1354 per 100 000 individuals. It is estimated that 2.9% of individuals with an alcohol use disorder in Australia are receiving a PBS-listed pharmacological treatment. For both pharmacotherapies, individuals were most likely to be male (60.0%) and 35-54 years of age (56.0%). Individuals were more likely to switch from acamprosate to naltrexone rather than the reverse. From 2006 and 2023, the number of prevalent individuals treated with an alcohol pharmacotherapy significantly increased, driven mainly the use of naltrexone, which more than doubled over the study period. Incident naltrexone-treated individuals were more likely to remain on treatment for the recommended minimum 3-month period compared to acamprosate treated individuals, although overall dispensing for at least 3 months was low (5.1%).
CONCLUSIONS: In Australia between 2006 and 2023, rates of naltrexone dispensing have substantially increased, while acamprosate dispensing showed minimal changes. However, the use of alcohol pharmacotherapies remains low compared with the likely prevalence of alcohol use disorders.

The illicit use of the psychostimulant methamphetamine (METH) is a major concern, with overdose deaths increasing substantially since the mid-2010s. One challenge to treating METH use disorder (MUD), as with other psychostimulant use disorders, is that there are no available pharmacotherapies that can reduce cravings and help individuals achieve abstinence. The purpose of the current review is to discuss the molecular targets that have been tested in assays measuring the physiological, the cognitive, and the reinforcing effects of METH in both animals and humans. Several drugs show promise as potential pharmacotherapies for MUD when tested in animals, but fail to produce long-term changes in METH use in dependent individuals (eg, modafinil, antipsychotic medications, baclofen). However, these drugs, plus medications like atomoxetine and varenicline, may be better served as treatments to ameliorate the psychotomimetic effects of METH or to reverse METH-induced cognitive deficits. Preclinical studies show that vesicular monoamine transporter 2 inhibitors, metabotropic glutamate receptor ligands, and trace amine-associated receptor agonists are efficacious in attenuating the reinforcing effects of METH; however, clinical studies are needed to determine if these drugs effectively treat MUD. In addition to screening these compounds in individuals with MUD, potential future directions include increased emphasis on sex differences in preclinical studies and utilization of pharmacogenetic approaches to determine if genetic variances are predictive of treatment outcomes. These future directions can help lead to better interventions for treating MUD.

UNASSIGNED: Diabetes-related care makes up approximately 24% of outpatient clinic visits. Therefore, confidence and understanding of diabetes management is necessary for family medicine residents.
UNASSIGNED: We developed a combined lecture and simulation lab curriculum utilizing a registered nurse and pharmacist to deliver education to 20 family medicine learners. Pre and post surveys of the educational material were completed in 2 sections including one gauging medical knowledge and a second part gauging level of comfort.
UNASSIGNED: Of the learners who participated, fourteen completed the pre-post surveys. Most (53%) respondents improved their scores, while 20% scored the same 27% scored worse. The overall average score increased 57% to 70% and improvement was statistically significant (P < .05). All learners improved confidence by at least 1 point.
UNASSIGNED: An interprofessional team utilizing a lecture curriculum focusing on providing education on effective prescribing, medication safety profiles, and resource availability, showed improvement in confidence but mixed knowledge benefit. Further modifications to the curriculum may yield further educational gains.

BACKGROUND: During the pandemic period, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mutated, leading to changes in the disease\'s severity and the therapeutic effect of drugs accordingly. This study aimed to present the actual use of therapeutics and clinical outcomes based on the prevalence of each variant using real-world data.
METHODS: We analyzed the electronic medical records of adult patients admitted to Busan Medical Center after confirming coronavirus disease 2019 (COVID-19) from February 1, 2020, to June 30, 2022. Patients with mild-to-moderate COVID-19 who were at a high risk of disease progression were selected as study subjects, and the time period was classified according to the variants as ancestral strain, Delta variant, or Omicron variant. We compared drug use status and clinical outcomes by time period.
RESULTS: Among all 3,091 patients, corticosteroids were the most commonly used therapy (56.0%), being used most frequently in the Delta variant (93.0%), followed by the Omicron variant (42.9%) and ancestral strain (21.2%). Regdanvimab accounted for the majority of therapeutic use in the Delta variant (82.9%) and ancestral strain (76.8%), whereas remdesivir was most frequently used during the Omicron variant period (68.9%). The composite outcomes of death or disease aggravation were ranked in the order of the Delta variant, Omicron variant, and ancestral strain (14.5, 11.9, and 6.0%, respectively, P < 0.001).
CONCLUSIONS: Regdanvimab was primarily used during the ancestral strain period, regdanvimab plus corticosteroids during the Delta variant period, and remdesivir during the Omicron variant period. The rate of death or disease aggravation was highest in the Delta variant, followed by the Omicron variant and the ancestral strain.

Obsessive-compulsive disorder (OCD), characterized by persistent, intrusive thoughts (obsessions) and repetitive behaviors or mental acts (compulsions), can significantly impact a child\'s daily functioning, academic performance, and overall quality of life. As the prevalence of pediatric OCD continues to rise, there is a critical demand for evidence-based treatments that not only alleviate symptoms but also enhance the quality of life for affected children and adolescents. By identifying gaps in knowledge and suggesting directions for future research, this narrative review contributes to the ongoing discourse on pediatric OCD treatments. Ultimately, the synthesis of evidence aims to enhance our understanding and inform best practices in the compassionate and effective management of OCD in children and adolescents. The aim of this study is to provide a comprehensive overview of current trends and emerging strategies in the treatment of pediatric obsessive-compulsive disorder (OCD) and highlights the significance of tailoring treatment approaches to individual patient needs, considering factors such as symptom severity and treatment response. Concentrating on interventions supported by empirical evidence, the review delves into cognitive-behavioral therapy (CBT), pharmacotherapy, the synergistic effects of these modalities, and inventive therapeutic approaches, all while considering the distinctive developmental aspects pertinent to pediatric populations. We conducted this review by searching for titles in the PubMed database from 2013 to present. Our comprehensive literature review focused on advancements in treating pediatric OCD, using keywords like \"Obsessive-compulsive disorder,\" \"Pediatric,\" \"treatment,\" \"CBT,\" \"SSRI,\" \"Pharmacotherapy,\" and \"combination therapy.\" While both pharmacotherapy and CBT show individual efficacy, the combination of these approaches appears to be more effective, especially for medication non-responders with no prior exposure to CBT, despite some mixed findings. These findings contribute significantly to the ongoing discussion on optimizing combined therapy strategies tailored to the complexities of pediatric OCD.

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia characterized by irregular atrial electrical activity, posing significant challenges to patient management and healthcare systems worldwide. Non-rheumatic AF, distinct from AF due to rheumatic heart disease, encompasses a spectrum of etiologies, including hypertension, coronary artery disease, and structural heart abnormalities. This review examines the latest advancements in managing non-rheumatic AF, encompassing diagnostic approaches, pharmacological therapies, and innovative non-pharmacological interventions. Diagnostic strategies ranging from traditional electrocardiography to advanced imaging modalities are explored alongside emerging biomarkers and wearable technologies facilitating early detection and management. Pharmacological management options, including novel anticoagulants and rhythm control agents, are evaluated in light of current guidelines and recent clinical trials. Non-pharmacological interventions, such as catheter ablation and device-based therapies, are discussed regarding their evolving techniques and outcomes. Special considerations for diverse patient populations, including elderly individuals and athletes, are addressed, emphasizing personalized approaches to optimize therapeutic outcomes. The review concludes with insights into future directions for AF management, highlighting promising avenues in gene therapy, regenerative medicine, and precision medicine approaches. By synthesizing recent research findings and clinical innovations, this review provides a comprehensive overview of the dynamic landscape of non-rheumatic AF management, offering insights for clinicians, researchers, and healthcare stakeholders.

Surgical interventions, like barbed reposition pharyngoplasty (BRP), are a valuable alternative for patients with obstructive sleep apnea (OSA) who are unable to tolerate continuous positive airway pressure (CPAP). However, predicting surgical success remains challenging, partly due to the contribution of non-anatomical factors. Therefore, combined medical treatment with acetazolamide, known to stabilize respiratory drive, may lead to superior surgical results. This double-blind, parallel-group randomized controlled trial evaluates the efficacy of acetazolamide as an add-on therapy to BRP in OSA. A total of 26 patients with moderate to severe OSA undergoing BRP were randomized to receive either acetazolamide or placebo post-surgery for 16 weeks. The group who was treated with BRP in combination with acetazolamide showed a reduction in AHI of 69.4%, significantly surpassing the 32.7% reduction of the BRP + placebo group (p < 0.01). The sleep apnea-specific hypoxic burden also decreased significantly in the group who was treated with BRP + acetazolamide (p < 0.01), but not in the group receiving BRP + placebo (p = 0.28). Based on these results, acetazolamide as an add-on therapy following BRP surgery shows promise in improving outcomes for OSA patients, addressing both anatomical and non-anatomical factors.

Glycogen storage disease type III (GSDIII) is a hereditary glycogenosis caused by deficiency of the glycogen debranching enzyme (GDE), an enzyme, encoded by Agl, enabling glycogen degradation by catalyzing alpha-1,4-oligosaccharide side chain transfer and alpha-1,6-glucose cleavage. GDE deficiency causes accumulation of phosphorylase-limited dextrin, leading to liver disorder followed by fatal myopathy. Here, we tested the capacity of the new autophagosomal activator GHF-201 to alleviate disease burden by clearing pathogenic glycogen surcharge in the GSDIII mouse model Agl-/-. We used open field, grip strength, and rotarod tests for evaluating GHF-201\'s effects on locomotion, a biochemistry panel to quantify hematological biomarkers, indirect calorimetry to quantify in vivo metabolism, transmission electron microscopy to quantify glycogen in muscle, and fibroblast image analysis to determine cellular features affected by GHF-201. GHF-201 was able to improve all locomotion parameters and partially reversed hypoglycemia, hyperlipidemia and liver and muscle malfunction in Agl-/- mice. Treated mice burnt carbohydrates more efficiently and showed significant improvement of aberrant ultrastructural muscle features. In GSDIII patient fibroblasts, GHF-201 restored mitochondrial membrane polarization and corrected lysosomal swelling. In conclusion, GHF-201 is a viable candidate for treating GSDIII as it recovered a wide range of its pathologies in vivo, in vitro, and ex vivo.

Osteoporosis is a common systemic metabolic disease characterized by a decrease in bone density and bone mass, destruction of bone tissue microstructure, and increased bone fragility leading to fracture susceptibility. Pharmacological treatment of osteoporosis is the focus of current research, and anti-osteoporosis drugs usually play a role in inhibiting bone resorption, promoting bone formation, and having a dual role. However, most of the drugs have the disadvantages of single target and high toxic and side effects. There are many types of traditional Chinese medicines (TCM), from a wide range of sources and mostly plants. Herbal plants have unique advantages in regulating the relationship between osteoporosis and the immune system, acupuncture therapy has significant therapeutic effects in combination with medicine for osteoporosis. The target cells and specific molecular mechanisms of TCM in preventing and treating osteoporosis have not been fully elucidated. At present, there is a lack of comprehensive understanding of the pathological mechanism of the disease. Therefore, a better understanding of the pathological signaling pathways and key molecules involved in the pathogenesis of osteoporosis is crucial for the design of therapeutic targets and drug development. In this paper, we review the development and current status of anti-osteoporosis drugs currently in clinical application and under development to provide relevant basis and reference for drug prevention and treatment of osteoporosis, with the aim of promoting pharmacological research and new drug development.