Medication Usage Research Articles

Differences in Religious Commitment and Harm Reduction Attitudes Among US Medical Students by Sex Assigned at Birth: A Pilot Study.

Harm reduction emphasizes positive change by working with individuals without judgment, coercion, discrimination, or requiring abstinence from drugs to receive support. This study examines how religious commitment and medical student attitudes toward harm reduction approaches for substance use differ based on sex assigned at birth. Participants from a US osteopathic medical school completed the revised Harm Reduction Acceptability Scale and the Belief into Action Scale.Statistical analyses revealed that males had significantly higher harm reduction acceptability scores than females. Moreover, a significant negative correlation between religious commitment and harm reduction acceptance was found, indicating that stronger religious commitment was linked to lower acceptance of harm reduction. To build on this cross-sectional exploratory study, further research is needed to delve deeper into sex differences in medical students' attitudes and the role of religious commitment in harm reduction. Future studies should explore the direction and causality of these relationships.

Gastrointestinal manifestations of Rett syndrome: An updated analysis using the Gastrointestinal Health Questionnaire.

We conducted a nationwide survey using a validated Gastrointestinal Health Questionnaire (GHQ) for Rett syndrome (RTT) to provide an updated and accurate baseline assessment of the prevalence of common gastrointestinal (GI) issues in RTT, based on parental reporting. Parents and caregivers of females with RTT or normally developing, unaffected, age-matched controls completed the GHQ survey. The prevalence of GI symptoms and personality and mood symptoms due to stomach or intestinal problems, as well as GI medication usage and surgical interventions, were assessed in females with RTT and unaffected controls. The relation between GI symptoms and medication usage, surgical status, age, and genetic mutation were analyzed. Parents of 118 females with RTT and 27 unaffected females completed the GHQ. GI symptoms were common in females with RTT, including constipation (81%), gas and bloating (70%), issues with eating, chewing and swallowing (73%), and irritability because of stomach or intestinal problems (53%). Females with RTT commonly used proton pump inhibitors (52%) and laxatives (64%). Medication usage was associated with significantly higher GHQ symptom scores. Parents of individuals with RTT reported a significantly higher prevalence of GI symptoms affecting their daughters in all symptom categories compared with unaffected females. GI problems are common in RTT and pose a significant medical burden to caregivers. The GHQ is a useful tool to assess GI issues in individuals with RTT. Improved recognition of these issues may allow for improved treatment and enhanced quality of life for girls and women affected by RTT.

Inferring diagnoses from prescription data: a machine-learning approach

Abstract Estimating disease prevalence is a fundamental while challenging public-health goal: in the absence of solid diagnostic data, it typically requires expensive and time intensive studies. Analyzing existing medical records is an alternative, complementary approach. In particular, prescription records offer a glimpse into the health status of populations, prescribing patterns, and operational dynamics. We asked whether these could be used to infer diagnostics and, therefore, estimate disease prevalence. We used the Portuguese electronic medical prescriptions dataset (ADD NUMBERS) and trained a machine learning model that captures the probability that specific drugs are prescribed for the same or related medical conditions. We 1) constructed a manually-curated dataset of diseases and associated medications; 2) used this dataset to train embeddings models; 3) tested these models against human-classified data; 4) used the trained/tested model to uncover comorbidities associated with a) antibiotic prescription (to validate the model), and b) the impact of COVID-19 in prescription patterns of chronic-diseases. The model was able to accurately identify drugs used for targeting ten specific diseases, with few false positives and false negatives. Our analysis showed that the COVID-19 pandemic had almost no effect on the number of prescriptions for some chronic diseases (such as diabetes and depression), but, importantly, had a strong impact on the number of new diagnoses, with new users of diabetes medication in 2019 dropping by more than 16.8% in 2020. Medical prescriptions offer a promising tool to quickly assess disease prevalence, underdiagnosis, and allow a broad overview of the medical status of the population, especially in the face of health emergencies that strongly pressure the medical system. Key messages • We propose a new approach to infer diagnostics from prescription data with several promising applications. • We propose a new approach to infer diagnostics from prescription data with several promising applications.

Sociodemographic Factors Associated with the Utilization of Digital Health Technologies Among Informal Caregivers: A Nationwide Study in the USA, 2022.

Informal caregivers can leverage digital health technologies to support their own health while also assisting patients, particularly those with mental or physical challenges. This study investigated the sociodemographic factors associated with the use of digital health technology among informal caregivers. Data from the 2022 Health Information National Trends Survey (HINTS) were examined for this cross-sectional study. The survey identified key outcomes related to the use of online medical records, health apps, digital wearable health devices, and the digital sharing of health information with professionals, on social media, or with others facing similar health issues. Sociodemographic factors (gender, race/ethnicity, feelings of one's household income, education, and census division) were also analyzed. Weighted multivariable logistic regression models were employed. A total of 831 individuals were included, representing about 36,960,385 national informal caregivers in 2022. Caregivers with a high school education or less (vs. those with at least some college education) and non-Hispanic Black caregivers (vs. non-Hispanic White caregivers) were significantly less likely to be offered access to online medical records by their healthcare providers. Additionally, online medical record usage was lower among caregivers with high school education or less, but higher among caregivers aged 50-64 (vs. those aged 35-49). Caregivers with a high school education or less were less likely to use health apps and digital wearable health devices, but more likely to share personal health information on social media. Men caregivers, those aged 50-64 and over 65 (vs. the 35-49 age group), and caregivers who were dissatisfied with their income were less likely to use digital wearable health devices. The findings underscore disparities in the utilization of caregivers' digital health technology, particularly in digital wearable health devices. Recognizing and addressing these disparities are crucial for tailoring interventions to enhance equitable access to digital health technology among diverse informal caregiver populations.

Eco-friendly treatment: a win-win for patients, health systems, and the planet. Rapid scoping review

Abstract Background As the fifth-largest CO2 emitter globally, the healthcare industry must act to mitigate its environmental impact. This includes de-implementing low-value care and adopting eco-friendly innovative treatment alternatives. Our study aims to explore existing research on the environmental effects of these actions and the outcome measures utilized. Methods We conducted a rapid scoping review following a pre-published protocol, searching Ovid MEDLINE® and Scopus (Elsevier) from January 2015 to June 19, 2023. Initially, dual abstract and full-text screening was performed, followed by a single review. Data extraction was cross-checked by a second reviewer. Findings were narratively described using summary statistics. Results We analyzed 182 articles, primarily life cycle assessments and modeling studies (92 out of 182), with only one study being a randomized controlled trial. The research covered various healthcare practices, including consultation methods/telemedicine (32%), surgical and medical device usage (26%), medication (25%), surgical procedures (19%), as well as diagnostic tests, screening, and imaging (13%). The main sustainability strategies mentioned were ‘Rethink’ (99%) and ‘Reduce’ (81%), with ‘Reuse’ (32%), ‘Recycle’ (19%), and ‘Refuse’ (10%) being less utilized. Environmental outcomes reported included global warming (88%), resource consumption (27%), and chemical hazards (23%). Most studies were conducted in Europe (48%), followed by the USA (37%), with 75% published after 2020. Conclusions The environmental impact of healthcare is a pivotal area for public health action and fortunately, it is also emerging as a significant research field. Utilizing methodological approaches less common in evidence-based healthcare research underscores the necessity for innovative interdisciplinary collaboration and capacity building. The most pressing research gap lies in the impact of de-implementation strategies (“refuse”) targeting low-value care practices. Key messages • Measuring the environmental impact of healthcare demands the development of novel cross-disciplinary research methods and collaborations. • De-implementing low-value care represents a future win-win scenario for patients, the financial viability of healthcare systems, and global environmental sustainability.

Comparative Analysis of Inflammatory Bowel Disease Management: Hospital-based Versus Community-based Care.

Inflammatory bowel disease (IBD) encompasses chronic gastrointestinal disorders characterized by recurrent inflammation. Achieving mucosal healing and preventing disease progression are primary treatment goals. This study aimed to compare disease characteristics, medication utilization, procedures performed, and hospitalizations between IBD patients treated in hospital and community settings using the Leumit Health Service database. A retrospective cohort study was conducted using data from the Leumit Health Service, comprising 3020 patients diagnosed with IBD from January 2010 to December 2019. Patients were divided based on primary care setting: hospital-based or community-based. Data included demographic characteristics, disease type, medication usage, procedures, and outcomes. Statistical analyses assessed differences between groups. Hospital-treated patients were significantly younger (49.4±18.4 vs. 40.4±18.7, P<0.001 ), had higher rates of Crohn's disease (45.9% vs. 71.4%, P<0.001), exhibited higher inflammatory markers (calprotectin 768±2182 vs. 1305±2526, P<0.001), lower albumin (4.23±0.27 vs. 4.12±0.32, P<0.001), hemoglobin levels (13.4±1.6 vs. 12.9±1.6, P<0.001), and lower BMI (26.2±5.3 vs. 24.6±5.6, P<0.001) compared with community-treated patients. Hospital-treated patients had more endoscopic procedures, higher medication utilization rates, shorter treatment durations, and increased hospitalization occurrence (12.1% vs. 23.6%, P<0.001), length (0.67±3.34 vs. 1.45±5.88, P<0.001), and colectomies (4.73% vs. 15.8%, P<0.001). Disparities exist in IBD management between hospital and community settings, influenced by disease severity and treatment approaches. Hospital-based care is associated with more aggressive disease and intensive interventions, while community-based care may reflect milder disease and conservative management. Integrating specialized care models and personalized approaches across settings can optimize patient outcomes and health care delivery for IBD management. Further research is needed to understand these disparities' underlying mechanisms and develop comprehensive care strategies.

Healthy Life Awareness, Blood Pressure Awareness and Insight Among Adult Individuals: A Population-Based Cross-Sectional Study.

To measure healthy life awareness, blood pressure awareness and insight levels, along with their predisposing factors among adult individuals. A population-based cross-sectional study. The population consisted of adult individuals in a rural district of a city in Türkiye. Voluntary individuals who visited the population screening, organized as the May Measurement Month activity, were invited to the study (n=290). The data were collected by a questionnaire, the Healthy Life Awareness Scale (HeLAS), and the Blood Pressure Awareness and Insight Scale (BASIS). Descriptive statistics, Pearson Correlation, and multiple linear regression were used to analyze the data. The mean scores of the HeLAS and the BASIS were 49.62±8.30 and 2.89±1.43, respectively. Income level, regular physical activity habits, and formerly being diagnosed with hypertension were positively associated with ahealthy life awareness level. Former diagnosis of hypertension, regular medication usage, and being unemployed were the significant predisposing factors of blood pressure awareness and insight level. Most adult individuals displayed a moderate level of healthy life awareness and a low level of blood pressure awareness and insight. Nurses could take on the leading role in developing healthy lifestyle habits among individuals, ensure medication treatment adherence, and prevent hypertension prevalence.

Risk Factors Associated with Gastritis among Adult Patients Attending at Capital Hospital in Mogadishu- Somalia

Background: Gastritis, an inflammatory disorder affecting the lining of the stomach, is a prevalent health concern across the globe, particularly in developing regions like Somalia. This study aims to investigate the primary risk factors linked to gastritis among adults receiving care at Capital Hospital in Mogadishu.  Methods: An unmatched case-control study was executed from June 1 to July 30, 2024, involving 63 adult participants, with 21 patients diagnosed with gastritis through endoscopic procedures and 42 controls. A semi- structured questionnaire was employed to gather data on socio-demographic characteristics, dietary patterns, lifestyle habits, medical histories, and medication usage. Statistical analysis was performed using SPSS version 26.  Results: The investigation revealed a gastritis prevalence of 78.8%, with acute cases constituting 48.9% and chronic cases 29.9%. Female participants were identified as having a protective effect against gastritis (Adjusted Odds Ratio [AOR]=0.05, p=0.023), whereas the routine use of non-steroidal anti-inflammatory drugs (NSAIDs) significantly raised the risk (Crude Odds Ratio [COR]=5.03, p=0.041). Interestingly, the presence of Helicobacter pylori was associated with a reduced risk of developing gastritis (COR=0.11, p=0.032). Other lifestyle and dietary factors did not show significant correlations.  Conclusions: The results underscore the protective influence of gender and the associated risks of NSAID intake regarding gastritis among Somali adults. The unexpected finding of H. pylori infection linked to lower gastritis risk deserves further exploration. There is an urgent need for targeted public health strategies to address the effects of gastritis in Somalia.

Performance of the Classical Model in Feature Selection Across Varying Database Sizes of Healthcare Data

Machine learning is increasingly being applied to medical research, particularly in selecting predictive modelling variables. By identifying relevant variables, researchers can improve model accuracy and reliability, leading to better clinical decisions and reduced overfitting. Efficient utilization of resources and the validity of medical research findings depend on selecting the right variables. However, few studies compare the performance of classical and modern methods for selecting characteristics in health datasets, highlighting the need for a critical evaluation to choose the most suitable approach. We analysed the performance of six different variable selection methods, which includes stepwise, forward and backward selection using p-value and AIC, LASSO, and Elastic Net. Health-related surveillance data on behaviors, health status, and medical service usage were used across ten databases, with sizes ranging from 10% to 100%, maintaining consistent outcome proportions. Varying database sizes were utilized to assess their impact on prediction models, as they can significantly influence accuracy, overfitting, generalizability, statistical power, parameter estimation reliability, computational complexity, and variable selection. The stepwise and backward AIC model showed the highest accuracy with an Area under the ROC Curve (AUC) of 0.889. Despite its sparsity, the Lasso and Elastic Net model also performed well. The study also found that binary variables were considered more crucial by the Lasso and Elastic Net model. Importantly, the significance of variables remained consistent across different database sizes. The study shows that no major variations in results between the fitness metric of the model and the number of variables in stepwise and backward p-value models, irrespective of the database's size. LASSO and Elastic Net models surpassed other models throughout various database sizes, and with fewer variables.

Factors associated with a history of acute traumatic cycling injuries in 60 941 cycling race entrants in South Africa: SAFER study XLII

BackgroundInformation on acute traumatic cycling injuries (ATCIs) in the 12 months prior to entry in a cycling race and the predisposing factors have not been well-researched.ObjectiveDetermine factors associated with a...

Quality of life and post-traumatic stress disorder among elderly earthquake survivors: a focus on the February earthquake in Turkey.

On 6 February, 2023, Turkey experienced a disaster resulting from two major earthquakes. The elderly population stands out as one of the most vulnerable and least adaptable. This study aims to identify the quality of life (QOL) and post-traumatic stress disorder (PTSD) symptoms among elderly earthquake survivors in Turkey. This research was conducted between 1 October, 2023 and 15 December, 2023 as a cross-sectional design. During the data collection process, survey questions prepared by the researchers (29 questions) and the Elderly Quality of Life Scale (OPQOL-Bref) and the Impact of Events Scale (IES-R) were used. Three hundred and eighty-four elderly people participated in the study. PTSD was more common in those diagnosed with chronic diseases after the earthquake, in those who had a drug-free period after the earthquake, in those who smoked and quit smoking, and in those who started psychiatric medication after the earthquake. Post-traumatic stress was seen more frequently in those with low QOL scores and in those who had a longer period of not using medication after the earthquake. It was observed that QOL was better in married people, high school graduates, those with average income levels, those who did not have chronic diseases before and after the earthquake, those who did not have a drug-free period after the earthquake, those who were physically active, and those who did not use psychiatric medication after the earthquake. Chronic disease diagnosis post-earthquake, drug-free periods, smoking habits, and psychiatric medication usage were identified as influential factors in PTSD occurrence. Additionally, the study shed light on the profound effect of earthquake-related experiences, such as house damage, injuries, deaths in first-degree relatives, displacement, and changes in living conditions, on PTSD prevalence.

Research on Medical Device Software Based on Artificial Intelligence and Machine Learning Technologies

With the rapid development of Artificial Intelligence (AI) and Machine Learning (ML) technologies, new opportunities for innovation and application in medical device software have emerged. This paper explores the current research on medical device software based on AI and ML, analyzing the practical applications and outcomes of these technologies in the medical field. First, the basic concepts of AI and ML and their significance in medical devices are introduced. Then, an in-depth analysis of the functional requirements of medical device software, user experience, and relevant regulations is provided. Next, the paper discusses the specific applications of AI and ML in data processing, model training, and software implementation, showcasing their practical effects through case studies. Finally, the paper summarizes the current technical challenges and future opportunities, hoping to provide insights for further development in the medical device industry.

Comparative analysis of post-procedural symptom patterns after intragastric balloon and endoscopic sleeve gastroplasty

Aim: Endoscopic bariatric and metabolic therapies (EBMTs) offer minimally invasive approaches for obesity management, with intragastric balloon (IGB) and endoscopic sleeve gastroplasty (ESG) being amongst the most prominent interventions. While both are effective, their comparative impact on post-procedural gastric symptoms remains underexplored. Methods: Single-center retrospective study was designed to evaluate the incidence of post-procedure symptoms in patients undergoing IGB and ESG. Incidence and severity of gastric symptoms were assessed using visual analog scales at various time points. Weight outcomes and medication usage were also recorded. Changes at different time points (baseline, one and four months) were compared by means of Mann-Whitney U Test. Bivariate correlations were carried out through Pearson correlation. Results: Thirty patients undergoing IGB placement and 13 patients undergoing ESG were included in the analysis. ESG group showed a significant reduction in BMI at four months compared to IGB (32.2 ± 4.2 vs . 34.4 ± 5.3, P = 0.05). ESG demonstrated significantly lower rates of post-procedural gastric symptoms compared to IGB, including nausea, regurgitation, vomiting, and abdominal cramps and greater satiety (P &lt; 0.001) in the early postoperative period. Medication usage differed between groups, with higher usage of antispasmodics and antiemetics among IGB patients during the first week (P &lt; 0.001). Symptom severity correlated with the need for antiemetics and antispasmodics. Conclusion: This study provides insights into the management of gastric symptoms following two prominent EBMTs. While both endoscopic interventions offer viable options for obesity management, ESG emerges as a favorable choice due to its significantly lower incidence of early post-procedural gastric symptoms. Further research is warranted to refine symptom management strategies and elucidate differences in symptom profiles between IGB and ESG procedures, ultimately aiming to optimize treatment efficacy and patient satisfaction in the field of endoscopic obesity interventions.

Impact of virtual reality hypnosedation on perioperative pain and anxiety in port implantation under local anesthesia: a randomized controlled pilot trial (VIP Trial)

BackgroundThis monocentric randomized controlled pilot trial investigates the impact of virtual reality (VR) hypnosedation on perioperative anxiety, pain, patient satisfaction, and medication usage during port implantation under local anesthesia.MethodsA total of 120 patients undergoing elective port implantation between January 2022 and August 2023 were enrolled and randomized in a 1:1 ratio to either a VR hypnosedation group or a control group. The VR group used a commercially available VR headset with the HypnoVR application, providing various environments, musical backgrounds, and a guiding voice, while the control group underwent the procedure without VR. Patients with ASA > 3, chronic pain, cognitive issues, and contraindications against VR use were excluded. The main outcomes measured were perioperative pain and anxiety scores, with secondary outcomes including perioperative medication usage. Due to the nature of the interventions, blinding of patients and physicians was not feasible. Statistical analysis was primarily descriptive and exploratory, focusing on estimating effect sizes for future trials.ResultsThe study found no significant differences in immediate postoperative pain with 1.43 ± 1.63 vs. 1.6 ± 2.05 (p = 0.62) or anxiety scores 30.65 ± 9.13 vs. 31.78 ± 13.34 (p = 0.60) between the no VR and VR group, respectively. Additionally, there was a trend to less usage of certain medications, particularly remifentanil (mean dose of 200 mg vs. 100 mg (p = 0.12)) and novaminsulfon (mean dose of 1250 mg vs. 900 mg (p = 0.26)) in the VR group vs. no VR group, respectively. However, these differences were not statistically significant and therefore no definitive conclusions can be drawn regarding medication usage based on this data.ConclusionWhile VR hypnosedation did not significantly reduce perioperative pain or anxiety in this pilot trial, the observed trends in reduced medication usage suggest potential benefits. These findings warrant further investigation in larger, confirmatory trials to better understand the role of VR in enhancing patient comfort and potentially reducing reliance on pharmacological interventions during surgical procedures.Trial registrationGerman Clinical Trials Register: DRKS00028508; registration date 15 March 2022; Universal Trial Number: U1111-1275–4995.

Implementation of music in the perioperative standard care of colorectal surgery (IMPROVE study).

Patients undergoing surgery experience perioperative anxiety and pain. Music has been shown to reduce perioperative anxiety, pain and medication requirement. This study assessed the feasibility and effectiveness of implementing a perioperative music intervention. A prospective pre- and post-implementation pilot study was conducted to assess adherence to the intervention and the initial effect of music on postoperative pain scores (Numerical Rating Scale, 0-10) compared to a control group. Secondary outcomes encompassed pain scores throughout hospital admission, anxiety levels, medication usage, complications and hospital stay length. Adherence to the music intervention was preoperative 95.2%, intraoperative 95.7%, postoperative 31.9% and overall 29.7%. The intervention did influence postoperative pain. Patient's willingness to receive music was high (73%), they appreciated the intervention (median 8.0, interquartile range 7.0-9.0) and healthcare professionals were willing to apply the intervention. Music significantly reduced postoperative anxiety (2.0 vs. 3.0, p = 0.02) and the consumption of benzodiazepines on the first postoperative day (number of patients: zero [0%] vs. five [10%], p = 0.04). Implementation of music resulted in reduced postoperative anxiety and decreased consumption of benzodiazepines, and the strategy was feasible, but adjustments are needed to improve postoperative adherence. Both patients and healthcare professionals had a positive attitude towards the intervention.

Responsive Neurostimulation in Pediatric and Young Adult Patients With Drug-Resistant Focal, Multifocal, and Generalized Epilepsy: A Single-Center Experience

BackgroundResponsive neurostimulation (RNS) is used off-label in pediatric patients with drug-resistant epilepsy (DRE). Our study aims to assess the safety and efficacy of RNS in pediatric and young adult patients with focal, multifocal, and generalized DRE. MethodsAll patients who underwent RNS implantation at Primary Children's Hospital in Salt Lake City, UT, between December 2017 and 2022. ResultsA total of 47 patients were retrospectively identified, of which 32 patients were included in the final analysis. Patients ranged in age from five to 21 years (pediatric n = 22, young adult n = 10) at the time of RNS implantation with focal (20 [63%]), multifocal (8 [25%]), and generalized (4 [12%]) DRE. Operative complications (3 [9%]) and negative side effects (6 [19%]) were minor. At the time of most recent clinic visit (mean 18.6 months, S.D. 13.9), 19 of 32 patients (59%) were responders with ≥50% reduction in seizure frequency (pediatric n = 14, young adult n = 5). The rate of responders increased with prolonged activation of RNS stimulation, reaching 71% (five of seven patients) after 24 months. Antiseizure medication was reduced in five (16%) patients, and seizure rescue medication usage was reduced in 10 (31%) patients. Quality of life improved in 15 (47%) patients. ConclusionsRNS implantation resulted in a sustained reduction in seizure frequency with minimal side effects in a majority of patients. Taken together, our data suggest that RNS is an effective and safe treatment option for focal, multifocal, and potentially generalized DRE in the pediatric and young adult population.

Developmental and epileptic encephalopathy 56 due to YWHAG variants: 12 new cases and review of the literature

Background and objectivesDevelopmental and epileptic encephalopathy 56 (DEE-56) is caused by pathogenic variants in YWHAG and is characterized by early-onset epilepsy and neurodevelopmental delay. This study reports on a cohort of DEE-56 individuals, correlating antiseizure medication usage and comorbidities, to aid in understanding disease evolution. MethodsWe analyzed data from thirty-nine individuals aged 3–40 years with YWHAG variants, including 12 previously unreported individuals (2 of these with recurrent distal 7q11.23 deletions) and 27 previously published cases (21 families, including 3 adult individuals reported in a family case). Our assessments encompassed clinical, radiological, and genetic evaluations. All procedures adhered to standardized protocols for patient approvals, registrations, and data collection. ResultsIndividuals with YWHAG variants exhibited variable psychomotor delay, with the majority experiencing mild intellectual disability. Early-onset seizures, particularly febrile seizures, were common, with various seizure types reported. Valproic acid has emerged as an effective antiseizure medication. Movement disorders were present in a subset of individuals, primarily manifesting as ataxia and tremor. Comorbidities such as autism spectrum disorders and attention deficit-hyperreactivity disorder were observed in a proportion of individuals. We identified a novel YWHAG variant (c.634_645del/p.Asn212_Ser215del) and expanded the genotypic spectrum of the disease. ConclusionsWe provide insights into the clinical, radiological, and genetic features of YWHAG-related epileptic encephalopathy. Despite mild clinical symptoms, affected individuals face challenges in daily functioning, underscoring the need for comprehensive care. Valproic acid has been used for seizure control with variable results.

“California on the Vistula River?” Cannabis users’ engagement with licit and illicit cannabis markets in Poland

Purpose Poland, like many other countries, is experiencing a shift in its drug policy as reflected with the decision of its government to legalise medical cannabis in 2017. This paper aims to explore the engagement of cannabis consumers with legal and illegal markets for cannabis in Poland. Design/methodology/approach Data comes from the Polish Ministry of Health and a survey of 571 cannabis users. The questionnaires were posted on Polish Facebook groups consisting of users, and other people interested in science/politics associated with cannabis. The users were asked if they currently use the illegal market to buy cannabis, and if yes then why. Findings Most respondents report that they do not engage with the illegal market for cannabis. Those who described themselves as medical users now enjoy a better access to cannabis, but even recreational users are finding ways to use the system. Some, however, continue to use the illegal market for cannabis due to reasons associated with honesty, access, price and quality of cannabis. Research limitations/implications Given a convenience sample, generalisable conclusions cannot be made on the impact of the medical cannabis policy on the illegal market for cannabis yet. However, what can be concluded is that increasingly more users are likely opting out for the regulated medical market than the traditional illegal market. This could be associated with an increasing willingness of medical practitioners to prescribe medical cannabis. Originality/value Only a handful of articles have been written on the Polish medical cannabis policy. This is the first article to show that the Polish medical cannabis policy has changed very significantly since the early enactment. Very probably contrary to the wishes of the policymakers who wanted to create a stricter model than the one in California, for example, which they named as more permissive one.

Association between statin use and immune-related adverse events in patients treated with immune checkpoint inhibitors: analysis of the FAERS database.

Understanding the risk relationship between statin use and immune-related adverse events (irAEs) in patients undergoing immune checkpoint inhibitors (ICIs) therapy is crucial for optimizing oncological management. This study aimed to investigate whether the use of statins increases the risk of irAEs in patients receiving ICI therapy. This study primarily utilized data from FAERS database. Multivariable logistic regression was the principal method of analysis, and the Benjamini-Hochberg procedure was employed to adjust for multiple hypothesis testing. In a group of 145,214 patients undergoing ICI therapy, 9,339 reported using statin medications. Multivariable analysis indicated an increased risk of irAEs among statin users (OR 1.199, 95% CI: 1.141-1.261; FDR p < 0.001) in comparison to those not using statins. Notably, increased risks were observed particularly in patients diagnosed with lung, pancreatic, and renal cancers. The link between statin usage and increased irAEs risk remained consistent across various ICIs treatments. Statin medication usage is linked to an elevated probability of experiencing irAEs in patients enrolled in ICI therapy. In cancer patients receiving immune checkpoint inhibitors, careful consideration of statin use is essential to avoid potentially increased irAEs risk. These findings provide critical guidance for clinicians in developing treatment strategies that balance therapeutic efficacy and safety in oncological management.

Association of ART regimen and adherence to viral suppression: an observational study of a clinical population of people with HIV

Adherence to antiretroviral therapy (ART) is essential for the effective management of HIV, which includes keeping the HIV viral load undetectable. This study aimed to determine whether certain ART medications are more “forgiving” of poor adherence in achieving viral suppression. We identified subgroups of ART medication usage and determined the extent to which ART adherence is associated with viral suppression across those subgroups. Data came from claims and clinical records (2017–2019) of 3,552 HIV-positive adult members of a Medicaid managed care plan. Pharmacy fill data were examined to characterize ART medications using latent class analysis (LCA), which captures the complexity of real-world ART usage (i.e., multiple medications, ART switching). LCA yielded five ART medication patterns over three years, mostly characterized by recent medications and formulations of ART, though they varied in number of tablets and in medication class. Mixed effects logistic regression models were estimated to determine whether odds of viral suppression differed by ART adherence level. After adjusting for covariates, those with at least 90% adherence (i.e., 90 to < 95%) did not significantly differ from those with 95% adherence or greater in terms of viral suppression, which corroborates existing clinical recommendations. These findings can inform provider-patient communication for people with HIV, especially those who have difficulty maintaining adherence. This includes those experiencing unstable housing, mental health conditions, or substance use.