Development of an AI-based support system for controlled ovarian stimulation.

Purpose: Controlled ovarian stimulation (COS) is vital for IVF. We have developed an AI system to support the implementation of COS protocols in our clinical group. Methods: We developed two models as AI algorithms of the AI system. One was the oocyte retrieval decision model, to determine the timing of oocyte retrieval, and the other was the prescription inference model, to provide a prescription similar to that of an expert physician. Data was obtained from IVF treatment records from the In Vitro Fertilization (IVF) management system at the Asada Ladies Clinic, and these models were trained with this data. Results: The oocyte retrieval decision model achieved superior sensitivity and specificity with 0.964 area under the curve (AUC). The prescription inference model achieved an AUC value of 0.948. Four models, namely the hCG prediction model, the hMG prediction model, the Cetrorelix prediction model, and the Estradiol prediction model included in the prescription inference model, achieved AUC values of 0.914, 0.937, 0.966, and 0.976, respectively. Conclusion: The AI algorithm achieved high accuracy and was confirmed to be useful. The AI system has now been implemented as a COS tool in our clinical group for self-funded treatments.

Doses, serum concentrations and diagnoses of Norwegian quetiapine users 2001-2019 in a therapeutic drug monitoring material.

Over the past decade, increasing off-label use of quetiapine has been reported worldwide from various sources. We wanted to investigate how this is reflected in therapeutic drug monitoring (TDM) data. Requisitions for serum concentration measurements of quetiapine from a TDM service in Central Norway during 2001-2019 were obtained and analysed for age, gender, trends in quetiapine doses, serum concentrations and indicators of diagnoses. There were 19 759 requisitions from 7459 individuals. Daily doses of quetiapine decreased by 24 mg per year (95% CI: -25.61 to -21.48, p < 0.001, N = 4505). A corresponding decrease in quetiapine serum concentrations was not seen. The proportion of requisitions with diagnoses indicating reimbursable use was 13% for the whole study period. Mean daily doses were slightly higher in the reimbursable group, but declined over time in these samples, as well. To our understanding, these results signal a trend towards lower prescribed doses of quetiapine, possibly reflecting drug repurposing and/or off-label use. The discrepancy in the decrease of doses versus serum concentrations may reflect the intake of higher doses than prescribed and/or inappropriate TDM sampling. Our findings show that TDM data have limitations when it comes to making inferences about the use of quetiapine based on serum concentrations and clinical information on the requisitions.

Medicaid expansion and opioid prescriptions: Evidence from the Medical Expenditure Panel Survey.

Evidence is mixed on whether increased access to insurance, specifically through the ACA's Medicaid expansion, exacerbated the opioid public health crisis through increased opioid prescribing. Using survey data on retail prescription drug fills from 2008 to 2019, we did not find a significant relationship between Medicaid expansion and opioid prescribing in the newly eligible Medicaid population. It may be that the dangers of opioids were known well enough by the time of the Medicaid expansion that lack of access to care was no longer a binding constraint on opioid prescription receipt.

[Characteristics of moxibustion in Dragon Gate Stone Inscription prescriptions].

The Dragon Gate Stone Inscription prescriptions are the earliest surviving stone inscriptions of medical formulas in China, covering various departments such as internal medicine, surgery, gynecology, pediatrics and ophthalmology. By reviewing 28 moxibustion prescriptions recorded in the Dragon Gate Stone Inscriptions, the following application characteristics are summarized: moxibustion mainly treats acute diseases such as mania, deficiency-cold syndrome, and jaundice; in terms of point selection, specific points such as the thirteen ghost points, eight influential points, and front-mu points are used, emphasizing the extraordinary meridians such as governor vessel and conception vessel, as well as specific single acupoints with unique therapeutic effects; in clinical application, it follows the principle of treating according to syndrome differentiation, uses multiple acupoints simultaneously, employs food-medicine homology, and adjusts the moxibustion dosage according to individual conditions. The Dragon Gate Stone Inscription prescriptions reflect that the application of moxibustion therapy during the Northern Wei to Tang Dynasty period had already reached a relatively mature level, indicating a high level of proficiency in moxibustion techniques during that time.

Characteristics of CYP3A4-related potential drug-drug interactions in outpatients receiving prescriptions from multiple clinical departments.

BACKGROUND: Drug-drug interactions (DDIs) increase the incidence of adverse drug reactions (ADRs). In a previous report, we revealed that the incidence of potential DDIs due to the same CYP molecular species in one prescription exceeds 90% among patients taking six or more drugs and that CYP3A4 markedly influences the increase in the number of potential DDIs in clinical practice. However, the factors contributing to an increased number of potential DDIs in prescriptions from multiple clinical departments remain poorly clarified. METHODS: This observational study was performed at five pharmacies in Okayama Prefecture, Japan. Patients who visited these pharmacies from 11 April 2022 to 24 April 2022 were included, except those who had prescriptions only from a single clinical department. A stratified analysis was performed to determine the incidence of CYP3A4-related potential DDIs according to the number of drugs taken. Additionally, factors associated with an increase in the number of drugs involved in CYP3A4-related potential DDIs were identified using multiple linear regression analysis. In this study, potential DDIs for the prescription data subdivided by clinical department, containing two or more drugs, were used as control data. RESULTS: Overall, 372 outpatients who received prescriptions from multiple clinical departments were included in the current study. The number of drugs contributing to CYP3A4-related potential DDIs increased with an increase in the number of clinical departments. Notably, in cases taking fewer than six drugs, prescriptions from multiple clinical departments had a higher frequency of CYP3A4-related potential DDIs than those in prescriptions subdivided by clinical department. Multiple regression analysis identified "Cardiovascular agents", "Agents affecting central nervous system", and "Urogenital and anal organ agents" as the top three drug classes that increase CYP3A4-related potential DDIs. CONCLUSION: Collectively, these results highlight the importance of a unified management strategy for prescribed drugs and continuous monitoring of ADRs in outpatients receiving prescriptions from multiple clinical departments even if the number of drugs taken is less than six.

Brief Report: A population-based study of the impact of the COVID-19 pandemic on benzodiazepine use among children and young adults.

The COVID-19 pandemic was associated with increases in the prevalence of depression and anxiety among children and young adults. We studied whether the pandemic was associated with changes in prescription benzodiazepine use. We conducted a population-based study of benzodiazepine dispensing to children and young adults ≤ 24 years old between January 1, 2013, and June 30, 2022. We used structural break analyses to identify the pandemic month(s) when changes in prescription benzodiazepine dispensing occurred, and interrupted time series models to quantify changes in dispensing following the structural break and compare observed and expected benzodiazepine use. A structural break occurs where there is a sudden change in the trend of a time series. We observed an immediate decline in benzodiazepine dispensing of 23.6 per 100,000 (95% confidence interval [CI]: -33.6 to -21.2) associated with a structural break in April 2020, followed by a monthly decrease in the trend of 0.3 per 100,000 (95% CI: -0.74 to 0.14). Lower than expected benzodiazepine dispensing rates were observed each month of the pandemic from April 2020 onward, with relative percent differences ranging from - 7.4% (95% CI: -10.1% to - 4.7%) to -20.9% (95% CI: -23.2% to -18.6%). Results were generally similar in analyses stratified by sex, age, neighbourhood income quintile, and urban versus rural residence. Further research is required to understand the clinical implications of these findings and whether these trends were sustained with further follow-up.

A retrospective analysis of e-prescriptions for non-communicable diseases on a telehealth platform in Malaysia.

BACKGROUND: The management of non-communicable diseases (NCDs) has benefited from telehealth services. As these services which include teleconsultation services and e-prescriptions are relatively new in Malaysia, the data generated provide an unprecedented opportunity to study medication use patterns for the management of NCDs in the country. We analyze e-prescriptions from a local telehealth service to identify medication use patterns and potential areas to optimize medication use in relation to clinical practice guidelines. METHODS: A cross sectional observational study was conducted by retrieving e-prescription records retrospectively from a telehealth service. 739,482 records from January 2019 to December 2021 were extracted using a designated data collection form. Data cleaning, standardization and data analysis were performed using Python version 3.11. The diagnoses were classified according to the International Classification of Disease 10 (ICD-10), while medications were classified using the Anatomical Therapeutic Chemical (ATC) system. Diagnoses, frequency of use for medication classes and individual medications were analyzed and compared to clinical practice guidelines. RESULTS: The top five NCD diagnoses utilized by the service were hypertension (37.7%), diabetes mellitus (25.1%), ischemic heart disease (24.3%), asthma (14.4%), and dyslipidemia (11.7%). Medications were prescribed mostly in accordance with guideline recommendations. However, angiotensin receptor blockers (ARBs) were significantly more frequently prescribed compared to angiotensin converting enzyme inhibitors (ACEIs). Several medication classes appeared underutilized, including ACEIs in hypertensive patients with diabetes or ischemic heart disease, sodium glucose cotransporter 2 inhibitors in diabetic patients with ischemic heart disease, and metformin in patients with diabetes. CONCLUSIONS: Telehealth services are currently being utilized for the management of NCDs. Medication use for the management of NCDs through these services are mostly in accordance with guideline recommendations, but there exist areas that would warrant further investigation to ensure optimal clinical and economic outcomes are achieved.

Antibiotic prescription pattern among Primary Healthcare General Practitioners in the South Batinah Governorate of Oman, 2019.

BACKGROUND: Misuse and overuse of antibiotics comprise leading causes of antimicrobial resistance. The study aims to assess the pattern of antibiotic prescription among primary healthcare general practitioners in the South Batinah Governorate of Oman. METHOD: A cross-sectional study of 600 antibiotic prescriptions issued in the South Batinah Governorate in 2019 was conducted to verify the triggering diagnoses and determine the appropriateness of the prescribed antibiotic. Logistic regression analysis was used to determine the association between predictors and inappropriate use. RESULTS: Respiratory infections accounted for 62% of antibiotic prescriptions, of which 92.2% were inappropriately prescribed. Extended-spectrum antibiotics were inappropriately prescribed in 33.3% of cystitis cases, while 14.3% of gastroenteritis received incorrect spectrum of antibiotics. Amoxicillin represented 46.2% of antibiotic prescriptions, of which 84.4% were unnecessarily prescribed. Lower inappropriate antibiotic prescribing rate was linked to patients ≥ 18 years (OR = 0.46, 95% CI: [0.26, 0.82]), those who underwent laboratory tests (OR = 0.22, 95% CI: [0.12, 0.39]), and consultations at health centers (OR = 0.44, 95% CI: [0.24, 0.79]). Arabic-speaking physicians were more likely to prescribe antibiotics inappropriately. CONCLUSION: Inappropriate antibiotic prescription was frequently observed in mild respiratory infections and associated with specific patient and physician characteristics. Appropriateness of antibiotic prescriptions issued can be improved through enhanced testing capacities as well as implementation of physician and community awareness campaigns.

Knowledge gap and prescribing patterns of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter 2 inhibitors among Chinese doctors.

New anti-diabetic medications, including glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter 2 (SGLT2) inhibitors are recommended in guidelines to reduce cardio-renal events in type 2 diabetes mellitus (T2DM), independent of glucose control. Yet they might be underused in real world. This study aims to address the knowledge gap, prescription patterns and barriers faced by Chinese doctors. Cardio-Metabolic Survey was a cross-sectional study conducted among doctors managing diabetic patients in clinical practice, via a designated online questionnaire from May 1st, to Dec. 31th, 2022. A total of 358 doctors from 57 hospitals across Beijing participated in this survey, 34.9% from tertiary hospitals. Only 30-40% doctors demonstrated somewhat understanding of the mechanism and clinical applications of GLP-1RA or SGLT2 inhibitors. There is no difference in understanding of these two medications overall (p = 0.336). However, doctors in tertiary hospitals have a higher understanding of GLP-1RA and SGLT2 inhibitors compared to those in non-tertiary hospitals (p = 0.049, and 0.008, respectively). 40.2% doctors have never prescribed GLP-1RA, and 36.6% for SGLT2 inhibitors. The frequency of prescribing SGLT2 inhibitors was significantly higher than prescribing GLP-1RA (p = 0.005). The main barriers on prescription include high cost, poor adherence, side effects concern, and insufficient knowledge about these medications. Chinese doctors currently have limited understanding and low prescription frequency for GLP-1RA and SGLT2 inhibitors. Multifaceted approaches are needed to improve doctors' knowledge and strengthen their ability to manage T2DM effectively.

Five-year trend in secondary prevention medication prescription and risk factor control among patients with diabetes mellitus and cardiovascular diseases in Perak health clinics.

Introduction: Prescription of secondary prevention medications (SPMs) and effective control of cardiovascular risk factors (RFs) are crucial to reduce the risk of recurrent cardiovascular events, particularly in high-risk individuals including those with diabetes mellitus (DM). This study aimed to analyse the trends in SPM prescription and identify the factors associated with RF control among patients with DM and cardiovascular diseases in Perak health clinics. Methods: Data of patients with ischaemic heart disease (IHD) and cerebrovascular diseases (CeVDs) audited from 2018 to 2022, excluding those lost to follow-up, were extracted from the National Diabetes Registry. Descriptive and trend analyses were conducted. Multivariable logistic regression was utilised to identify the factors associated with RF control. Results: Most patients (76.7%) were aged ≥60 years and were Malays (62.3%). The majority had IHD (60.8%) and CeVDs (54.7%) for ≥5 years. SPM prescription increased significantly over the past 5 years. However, blood pressure (BP) and lipid control remained static. Good BP control was associated with a DM duration of ≥10 years and poor control with Malay ethnicity and prescription of two or three antihypertensives. Good DM control was associated with an age of ≥60 years and age at DM diagnosis of ≥60 years and poor control with Malay and Indian ethnicities, DM duration of ≥10 years and prescription of two or three and more glucose-lowering drugs. Poor lipid control was associated only with Malay and Indian ethnicities. Conclusion: SPM prescription has increased over time, but the achievement of treatment targets, particularly for lipid control, has remained poor and unchanged. Statin use is not associated with lipid control. The accessibility and availability of alternative lipid-lowering drugs must be improved to enhance overall RF control, especially lipid control, in patients with DM and cardiovascular diseases.

[On the June 25, 2024 Judgment of the Court of Justice of the European Union regarding Ilva Taranto (Southern Italy)]. / Sulla sentenza della Corte di Giustizia dell'Unione europea del 25 giugno 2024 in merito all'Ilva di Taranto.

The June 25, 2024 Judgment of the Court of Justice of the European Union is based on the Industrial Emissions (Integrated Pollution Prevention and Control) Directive 2010/75/EU and confirms its applicability to the Taranto steel plant, reiterating that the concept of pollution includes damage to the environment and human health; the health impact assessment of polluting industrial activities, such as the Ilva steelworks in Southern Italy, must constitute an internal act in the procedures for granting and reviewing the operating permission; all pollutants attributable to the plant that are scientifically recognized as harmful to health must be considered in the assessment procedures. In the case of serious and significant danger to the integrity of the environment and human health, the operation of the installation must be suspended. The Judgment highlights important elements on the level of principle and application, which are extraordinarily useful for environment and health personnel, for open-minded and aware local, regional, and national administrators, and above all for the citizens and communities most exposed to pollutants recognized as harmful to health. Preventive environmental health impact assessments gain renewed strength as tools for evaluative and authorized decision-making on production activities, in a sense of full integration between environment and health. The right to environmental and health protection and prevention is an integral part of the defence of human rights, especially in sacrifice zones such as Taranto and many other sites to be reclaimed, considered by the UN as "places where residents suffer devastating physical and mental health consequences and human rights violations".

Therapeutic Potential of Natural Resources Against Endometriosis: Current Advances and Future Perspectives.

Endometriosis (EMS) is defined as the appearance, growth, infiltration, and repeated bleeding of endometrioid tissue (glands and stroma) outside the uterus cavity, which can form nodules and masses. Endometriosis is a chronic inflammatory estrogen-dependent disease and occurs in women of reproductive age. This disorder may significantly affect the quality of life of patients. The pathogenic processes involved in the development and maintenance of endometriosis remain unclear. Current treatment options for endometriosis mainly include drug therapy and surgery. Drug therapy mainly ties to the use of non-steroidal anti-inflammatory drugs (NSAIDs) and hormonal drugs. However, these drugs may produce adverse effects when used for long-term treatment of endometriosis, such as nausea, vomiting gastrointestinal reactions, abnormal liver and kidney function, gastric ulcers, and thrombosis. Although endometriosis lesions can be surgically removed, the disease has a high recurrence rate after surgical resection, with a recurrence rate of 21.5% within 2 years and 40% to 50% within 5 years. Thus, there is an urgent need to develop alternative or additional therapies for the treatment of endometriosis. In this review, we give a systematic summary of therapeutic multiple component prescriptions (including traditional Chinese medicine and so on), bioactive crude extracts of plants/herbs and purified compounds and their newly found mechanisms reported in literature in recent years against endometriosis.

Taohong Siwu Decoction: a classical Chinese prescription for treatment of orthopedic diseases.

The pathogenesis of orthopedic diseases is intimately linked to blood stasis, frequently arising from damage to primary and secondary blood channels. This disruption can lead to "blood leaving the meridians" or Qi stagnation, resulting in blood stasis syndrome. Taohong Siwu Decoction (THSWD) is a renowned classical Chinese medicinal formula extensively used to promote blood circulation and mitigate blood stasis. Clinical studies have demonstrated its significant therapeutic effects on various orthopedic conditions, particularly its anti-inflammatory and analgesic properties, as well as its efficacy in preventing deep vein thrombosis post-surgery. Despite these findings, research on THSWD remains fragmented, and its interdisciplinary impact is limited. This review aims to provide a comprehensive evaluation of the efficacy and pharmacological mechanisms of THSWD in treating common orthopedic diseases. Additionally, we employ bibliometric analysis to explore research trends and hotspots related to THSWD. We hope this review will enhance the recognition and application of THSWD in orthopedic treatments and guide future research into its pharmacological mechanisms.

Quantitative ternary network-oriented discovery of Q-markers from traditional Chinese medicine prescriptions: Bu-Zhong-Yi-Qi-Tang as a case study.

BACKGROUND: The proposal of Q-markers for traditional Chinese medicine (TCM) represents a novel avenue of research pertaining to the quality control of TCM prescriptions. However, prior exploratory studies on Q-markers with multiple properties consistently neglected the consideration of weights, hampering our ability to accurately gauge the significance of each property and potentially leading to a flawed comprehension of Q-markers. PURPOSE: In this study, a quantitative ternary network strategy was firstly proposed to visually discover the Q-markers from TCM prescriptions, and it has been successfully applied into the quality control study of Bu-Zhong-Yi-Qi-Tang (BZYQT), a classical TCM prescription. METHODS: Firstly, the contents of 34 components in BZYQT, along with the kinetic features of 17 candidate Q-markers in biosamples (plasma and small intestinal contents), were characterized by UPLC-QqQ-MS/MS, and their immunomodulatory activities in macrophages and splenic lymphocytes were also assessed. Next, the obtained data were integrated into three properties: testability, bioavailability, effectiveness, and their weights were calculated using the entropy weight method to further establish a ternary network for quantitatively screening Q-markers. Subsequently, the identified Q-markers of BZYQT were utilized for the holistic quality evaluation of 36 batches of the commercial BZYQT preparation, Bu-Zhong-Yi-Qi-Pill (BZYQP) produced by three manufacturers, through similarity evaluation of the Q-marker-based fingerprint. RESULTS: Nine compounds (hesperidin, astragaloside IV, ononin, 18ß-glycyrrhizic acid, narirutin, calycosin, cimigenoside, astragaloside II, and liquiritin) showing three core properties, including testability, bioavailability, and effectiveness, were screened out as Q-markers of BZYQT based on their rankings in terms of regression area of the ternary network. Employing Q-markers as common peaks, the similarity values of 36 batches BZYQP ranged 0.914-0.998 under HPLC-UVD mode, and 0.631-1.000 under HPLC-ELSD mode, which were less than the similarity values evaluated by the conventional common peaks (HPLC-UVD mode: 0.946-0.990; HPLC-ELSD mode: 0.957-0.997). This observation suggests that the identified Q-markers are more representative as common peaks in chromatographic fingerprints for the holistic quality evaluation of TCM-related products from different manufacturers. CONCLUSION: The quantitative discovery of Q-markers from BZYQT laid an important foundation for holistic quality assessment of its related commercially available products, and our work offering a new strategy for ensuring the consistency and efficacy of TCM prescriptions.

Veterinary students' perceptions toward incorporating and expanding telehealth service delivery knowledge in curricula and future practice: a cross-sectional study.

OBJECTIVE: Telehealth is the use of technology to deliver medical services. Potential uses among veterinarians include consulting with specialists about complicated cases, sending in electronic prescriptions, or meeting with clients to discuss patient health. Although the coronavirus disease 2019 pandemic posed many challenges to the veterinary profession, it accelerated the adoption of telehealth among veterinarians. As many of these changes took place quickly in response to the pandemic, many of those in practice did not receive much training or guidance; therefore, this study explores veterinary students' perceptions regarding incorporating telehealth into the veterinary curriculum and the utilization of telehealth in the future. METHODS: An email survey was sent to students at a veterinary school. RESULTS: 80 students provided answers to the 11-question survey. Nearly 80% reported that it is either "important" or "very important" to incorporate telehealth training into the veterinarian curriculum, whereas almost 90% indicated that they would benefit from more telemedicine training prior to graduation. Almost 75% of participants had legal and malpractice concerns, which may present a barrier to using the technology upon graduation. CONCLUSIONS: This study suggests that veterinary schools should explore how to incorporate telehealth training into their curriculum, especially in regard to navigating the potential pitfalls that may be encountered when employing telehealth within the context of a veterinarian-client-patient relationship. CLINICAL RELEVANCE: Telehealth is a valuable tool, and its use has become commonplace. Educational programs that emphasize telehealth will better equip future clinicians to manage the nuances of this modality in practice.

Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis.

BACKGROUND: Data from the social media platform X (formerly Twitter) can provide insights into the types of language that are used when discussing drug use. In past research using latent Dirichlet allocation (LDA), we found that tweets containing "street names" of prescription drugs were difficult to classify due to the similarity to other colloquialisms and lack of clarity over how the terms were used. Conversely, "brand name" references were more amenable to machine-driven categorization. OBJECTIVE: This study sought to use next-generation techniques (beyond LDA) from natural language processing to reprocess X data and automatically cluster groups of tweets into topics to differentiate between street- and brand-name data sets. We also aimed to analyze the differences in emotional valence between the 2 data sets to study the relationship between engagement on social media and sentiment. METHODS: We used the Twitter application programming interface to collect tweets that contained the street and brand name of a prescription drug within the tweet. Using BERTopic in combination with Uniform Manifold Approximation and Projection and k-means, we generated topics for the street-name corpus (n=170,618) and brand-name corpus (n=245,145). Valence Aware Dictionary and Sentiment Reasoner (VADER) scores were used to classify whether tweets within the topics had positive, negative, or neutral sentiments. Two different logistic regression classifiers were used to predict the sentiment label within each corpus. The first model used a tweet's engagement metrics and topic ID to predict the label, while the second model used those features in addition to the top 5000 tweets with the largest term-frequency-inverse document frequency score. RESULTS: Using BERTopic, we identified 40 topics for the street-name data set and 5 topics for the brand-name data set, which we generalized into 8 and 5 topics of discussion, respectively. Four of the general themes of discussion in the brand-name corpus referenced drug use, while 2 themes of discussion in the street-name corpus referenced drug use. From the VADER scores, we found that both corpora were inclined toward positive sentiment. Adding the vectorized tweet text increased the accuracy of our models by around 40% compared with the models that did not incorporate the tweet text in both corpora. CONCLUSIONS: BERTopic was able to classify tweets well. As with LDA, the discussion using brand names was more similar between tweets than the discussion using street names. VADER scores could only be logically applied to the brand-name corpus because of the high prevalence of non-drug-related topics in the street-name data. Brand-name tweets either discussed drugs positively or negatively, with few posts having a neutral emotionality. From our machine learning models, engagement alone was not enough to predict the sentiment label; the added context from the tweets was needed to understand the emotionality of a tweet.

Proportion of Patients in the United States Who Fill Their Nirmatrelvir/Ritonavir Prescriptions.

INTRODUCTION: Although real-world studies demonstrate that those prescribed nirmatrelvir/ritonavir (and particularly within 5 days of symptom onset) are less likely to experience severe COVID-19 outcomes, prior studies show that only a small fraction of patients with COVID-19 who are eligible for nirmatrelvir/ritonavir receive a prescription. Studies calculating the proportion of nirmatrelvir/ritonavir prescriptions filled and identifying individual- and pharmacy-level correlates of filling nirmatrelvir/ritonavir are lacking. METHODS: This retrospective cohort study included individuals aged ≥ 12 years with a nirmatrelvir/ritonavir prescription ordered at a large national retail pharmacy (December 22, 2021-August 12, 2023). Those taking contraindicated medications were excluded. For those with only one nirmatrelvir/ritonavir prescription ordered, the outcome was whether the prescription was filled (yes/no). In a subanalysis of these individuals, the outcome was whether the prescription was filled within 5 days of symptom onset (yes/no). For those with multiple prescriptions ordered, the outcome was whether > 1 (vs. 0 or 1) prescriptions were filled. A log-binomial regression with generalized estimating equations was used to identify individual (clinical and demographic) and pharmacy-level (percentage of trade area that is non-Hispanic white, urbanicity, US Census region, and tract-level area deprivation index) correlates. RESULTS: A total of 2,103,570 unique nirmatrelvir/ritonavir prescriptions were ordered for 1,985,990 individuals. Among the 95% of individuals prescribed only one nirmatrelvir/ritonavir course, 88% filled their prescription. Among those with > 1 prescription ordered, 77% (82,993/108,411) filled one and 13% (13,662/108,411) filled > 1. Patients ≥ 50 years of age and those with documented high-risk conditions were slightly more likely to fill prescriptions, regardless of whether one or multiple courses were ordered. Individuals with cancer, asthma, or taking corticosteroids or immunosuppressive medications were more likely to fill multiple prescriptions. CONCLUSIONS: Most patients filled their nirmatrelvir/ritonavir prescriptions. Interventions to improve uptake should focus on increasing patient and provider awareness, reducing nirmatrelvir/ritonavir prescribing disparities, and ensuring treatment initiation within 5 days.

The Need to Consider Food Systems in Health-Oriented Food Policy and Programs.

Produce prescription programs (PPPs) are place-based interventions at the intersection of public health and local food advocacy. These programs have expanded significantly across the United States since 2010, particularly taking off in the state of West Virginia. This article draws on a 4-y institutional ethnography of PPP programs and associated policy. Although the possibilities of building support for improving community health alongside the livelihoods of small-scale producers is compelling, there exists an overall decontextualization from broader social and political determinants of health. This article concludes that although programs are able to meet some acute needs for program participants and provide income for small-scale producers, this decontextualization results from a lack of consideration of wider systems within policy and program construction, leading to missed opportunities for food system transformation.

Pathogenesis of depression and the potential for traditional Chinese medicine treatment.

Depression is a prevalent mental disorder that significantly diminishes quality of life and longevity, ranking as one of the primary causes of disability globally. Contemporary research has explored the potential pathogenesis of depression from various angles, encompassing genetics, neurotransmitter systems, neurotrophic factors, the hypothalamic-pituitary-adrenal axis, inflammation, and intestinal flora, among other contributing factors. In addition, conventional chemical medications are plagued by delayed onset of action, persistent adverse effects, and restricted therapeutic efficacy. In light of these limitations, the therapeutic approach of traditional Chinese medicine (TCM) has gained increasing recognition for its superior effectiveness. Numerous pharmacological and clinical studies have substantiated TCM's capacity to mitigate depressive symptoms through diverse mechanisms. This article attempts to summarize the mechanisms involved in the pathogenesis of depression and to describe the characteristics of herbal medicines (including compounded formulas and active ingredients) for the treatment of depression. It further evaluates their effectiveness by correlating with the multifaceted pathogenesis of depression, thereby furnishing a reference for future research endeavors.

Association Between Antibiotic Receipt and Provider Rating Within a National Telemedicine Practice.

This retrospective cohort study estimated the association between prescription receipt and provider 5-star rating for adult visits with upper respiratory infections in a national telemedicine practice with active antibiotic stewardship initiatives. The odds of a 5-star rating were higher for visits with an antibiotic or nonantibiotic prescription and longer visits.