Activation of the transcription factor NRF2 mediates the anti-inflammatory properties of a subset of over-the-counter and prescription NSAIDs.

Nonsteroidal anti-inflammatory drugs (NSAIDs) inhibit cyclooxygenase (COX) enzymes and are ubiquitously used for their anti-inflammatory properties. However, COX inhibition alone fails to explain numerous clinical outcomes of NSAID usage. Screening commonly used NSAIDs in primary human and murine myeloid cells demonstrated that NSAIDs could be differentiated by their ability to induce growth/differentiation factor 15 (GDF15), independent of COX specificity. Using genetic and pharmacologic approaches, NSAID-mediated GDF15 induction was dependent on the activation of nuclear factor erythroid 2-related factor 2 (NRF2) in myeloid cells. Sensing by Cysteine 151 of the NRF2 chaperone, Kelch-like ECH-associated protein 1 (KEAP1) was required for NSAID activation of NRF2 and subsequent anti-inflammatory effects both in vitro and in vivo. Myeloid-specific deletion of NRF2 abolished NSAID-mediated tissue protection in murine models of gout and endotoxemia. This highlights a noncanonical NRF2-dependent mechanism of action for the anti-inflammatory activity of a subset of commonly used NSAIDs.

Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?

Traditional substance use (SU) surveillance methods, such as surveys, incur substantial lags. Due to the continuously evolving trends in SU, insights obtained via such methods are often outdated. Social media-based sources have been proposed for obtaining timely insights, but methods leveraging such data cannot typically provide fine-grained statistics about subpopulations, unlike traditional approaches. We address this gap by developing methods for automatically characterizing a large Twitter nonmedical prescription medication use (NPMU) cohort (n = 288,562) in terms of age-group, race, and gender. Our natural language processing and machine learning methods for automated cohort characterization achieved 0.88 precision (95% CI:0.84 to 0.92) for age-group, 0.90 (95% CI: 0.85 to 0.95) for race, and 94% accuracy (95% CI: 92 to 97) for gender, when evaluated against manually annotated gold-standard data. We compared automatically derived statistics for NPMU of tranquilizers, stimulants, and opioids from Twitter with statistics reported in the National Survey on Drug Use and Health (NSDUH) and the National Emergency Department Sample (NEDS). Distributions automatically estimated from Twitter were mostly consistent with the NSDUH [Spearman r: race: 0.98 (P < 0.005); age-group: 0.67 (P < 0.005); gender: 0.66 (P = 0.27)] and NEDS, with 34/65 (52.3%) of the Twitter-based estimates lying within 95% CIs of estimates from the traditional sources. Explainable differences (e.g., overrepresentation of younger people) were found for age-group-related statistics. Our study demonstrates that accurate subpopulation-specific estimates about SU, particularly NPMU, may be automatically derived from Twitter to obtain earlier insights about targeted subpopulations compared to traditional surveillance approaches.

HIV Testing and Preexposure Prophylaxis Prescriptions Among U.S. Commercially Insured Transgender Men and Women, 2014 to 2021.

BACKGROUND: Transgender persons are disproportionately affected by HIV, but preexposure prophylaxis (PrEP) use has been low in this population. Clinical encounters for gender-affirming hormone therapy (GAHT) provide opportunities for HIV prevention. OBJECTIVE: To estimate the number of commercially insured transgender women (TGW) and transgender men (TGM) in the United States and their use of HIV prevention services. DESIGN: Retrospective analysis of secondary data. SETTING: Merative MarketScan commercial databases from 2014 to 2021. PARTICIPANTS: TGW and TGM, defined as those with transgender-related diagnoses and prescriptions for feminizing or masculinizing GAHT. MEASUREMENTS: HIV testing and PrEP use. RESULTS: A substantially increasing trend was observed in the prevalence of transgender-related diagnosis codes from 2014 to 2021 and in the proportion of persons who used GAHT. The increases were driven by persons aged 18 to 34 years. In 2021, among 10 613 TGW with a test for or a diagnosis of a sexually transmitted infection (STI) in the previous 12 months, 61.1% had an HIV test; among those, 20.2% were prescribed PrEP. Among 4184 TGM with STI risk, 48.3% had an HIV test; among those, 10.2% were prescribed PrEP. The prevalence of TGW and TGM who had a test for or a diagnosis of an STI, had an HIV test, and were prescribed PrEP increased substantially from 2014 to 2021. LIMITATION: The findings represent only persons with commercial health insurance who sought health care services for GAHT. CONCLUSION: It is important to identify transgender persons to monitor their receipt of HIV prevention services. Encounters for GAHT provide opportunities to offer HIV prevention and other prevention services. Many HIV prevention opportunities were likely missed at clinical encounters for GAHT. PRIMARY FUNDING SOURCE: None.

Maternal medically diagnosed infection and antibiotic prescription during pregnancy and risk of childhood cancer: A population-based cohort study in Taiwan, 2004 to 2015.

While associations between maternal infections during pregnancy and childhood leukemia in offspring have been extensively studied, the evidence for other types of childhood cancers is limited. Additionally, antibiotic exposure during pregnancy could potentially increase the risk of childhood cancers. Our study investigates associations between maternal infections and antibiotic prescriptions during pregnancy and the risk of childhood cancer in Taiwan. We conducted a population-based cohort study using the Taiwan Maternal and Child Health Database (TMCHD), linked with national health and cancer registries. The study included 2 267 186 mother-child pairs, and the median follow-up time was 7.96 years. Cox proportional hazard models were utilized to estimate effects. Maternal infections during pregnancy were associated with a moderate increase in the risk of childhood hepatoblastoma (adjusted hazard ratio [HR] = 1.34; 95% confidence interval [CI]: 0.90-1.98) and a weaker increase in the risk of childhood acute lymphoblastic leukemia (ALL) (adjusted HR = 1.15; 95% CI: 0.99-1.35). Antibiotic prescriptions during pregnancy were also associated with an elevated risk of childhood ALL (adjusted HR = 1.30; 95% CI: 1.04-1.63), particularly with tetracyclines (adjusted HR = 2.15; 95% CI: 1.34-3.45). Several specific antibiotics were also associated with an increased risk of hepatoblastoma and medulloblastoma. Children exposed in utero to antibiotic prescription or both infections and antibiotics during pregnancy were at higher risk of developing ALL. Our findings suggest that there are associations between maternal infections, antibiotic use during pregnancy and the risk of several childhood cancers in addition to ALL and highlight the importance of further research in this area.

Evaluation of the impact of letters to GP practices to promote asthma prescription uptake in school-age children during summer (TRAINS study): a pragmatic cluster-randomised controlled trial.

BACKGROUND: Asthma exacerbations peak in school-aged children after the return to school in September. Previous studies have shown a decline in collections of asthma prescriptions during August. The PLEASANT trial demonstrated that sending a reminder letter to parents increased prescription uptake; reduced unscheduled care, and was cost saving to the health service. We aimed to assess whether informing general practitioner (GP) practices about the PLEASANT trial and its results could lead to its implementation in routine practice. METHODS: The trial to assess implementation of new research in a primary care setting (TRAINS) was a pragmatic cluster-randomised (1:1) trial conducted in England involving GP practices contributing to the Clinical Practice Research Datalink (CPRD). The intervention was a letter informing the GP practice of the PLEASANT trial results with recommendations for implementation. GP practices in the control group continued with usual care without receiving any letters about PLEASANT trial. The intervention was distributed via CPRD by both mail and email in June 2021. The trial received both University of Sheffield Ethics approval and Independent Scientific Advisory Committee (ISAC) approval. The primary outcome was the proportion of children with asthma (aged 4-15 years) who had a prescription for a preventer between Aug 1 and Sept 30, 2021. This trial is registered with ClinicalTrials.gov, NCT05226091. FINDINGS: A total of 1326 GP practices, including 90 583 children with asthma, were included in the study. These practices were randomly allocated to the intervention group (664 practices, 44 708 children) or the control group (662 practices, 45 875 children). In assessing the impact of the intervention on the proportion of children collecting a preventer prescription, 15 716 (35·3%) of 44 708 children from the intervention group and 16 001 (35·1%) of 45 559 children from the control group picked up a prescription. There was no statistically significant difference observed (odds ratio [OR] 1·01, 95% CI 0·97-1·05), indicating that the intervention had no effect. INTERPRETATION: The study findings suggest that passive intervention of providing a letter to GPs did not achieve the intended outcomes. To bridge the gap between evidence and practice, alternative, more proactive strategies could be explored to address the identified issues. FUNDING: Jazan University.

Association between trajectories of prescription opioid use and risk of opioid use disorder and overdose among US nonmetastatic breast cancer survivors.

PURPOSE: To examine the association between prescription opioid use trajectories and risk of opioid use disorder (OUD) or overdose among nonmetastatic breast cancer survivors by treatment type. METHODS: This retrospective cohort study included female nonmetastatic breast cancer survivors with at least 1 opioid prescription fill in 2010-2019 Surveillance, Epidemiology and End Results linked Medicare data. Opioid mean daily morphine milligram equivalents (MME) calculated within 1.5 years after initiating active breast cancer therapy. Group-based trajectory models identified distinct opioid use trajectory patterns. Risk of time to first OUD/overdose event within 1 year after the trajectory period was calculated for distinct trajectory groups using Cox proportional hazards models. Analyses were stratified by treatment type. RESULTS: Four opioid use trajectories were identified for each treatment group. For 38,030 survivors with systemic endocrine therapy, 3 trajectories were associated with increased OUD/overdose risk compared with early discontinuation: minimal dose (< 5 MME; adjusted hazard ratio [aHR] = 1.73 [95% CI 1.43-2.09]), very low dose (5-25 MME; 2.67 [2.05-3.48]), and moderate dose (51-90 MME; 6.20 [4.69-8.19]). For 9477 survivors with adjuvant chemotherapy, low-dose opioid use was associated with higher OUD/overdose risk (aHR = 7.33 [95% CI 2.52-21.31]) compared with early discontinuation. For 3513 survivors with neoadjuvant chemotherapy, the differences in OUD/OD risks across the 4 trajectories were not significant. CONCLUSIONS: Among Medicare nonmetastatic breast cancer survivors receiving systemic endocrine therapy or adjuvant chemotherapy, compared with early discontinuation, low-dose or moderate-dose opioid use were associated with six- to sevenfold higher OUD/overdose risk. Breast cancer survivors at high-risk of OUD/overdose may benefit from targeted interventions (e.g., pain clinic referral).

Opioid prescription and risk of atrial fibrillation in younger veterans.

BACKGROUND: Opioids may play a part in the development of atrial fibrillation (AF). Understanding the relationship between opioid exposure and AF can help providers better assess the risk and benefits of prescribing opioids. OBJECTIVE: To assess the incidence of AF as a function of prescribed opioids and opioid type. DESIGN: We performed unadjusted and adjusted time-updated Cox regressions to assess the association between opioid exposure and incident AF. PARTICIPANTS: The national study sample was comprised of Veterans enrolled in the Veterans Health Administration (VHA) who served in support of post-9/11 operations. MAIN MEASURES: The main predictor of interest was prescription opioid exposure, which was treated as a time-dependent variable. The first was any opioid exposure (yes/no). Secondary was opioid type. The outcome, incident AF, was identified through ICD-9-CM diagnostic codes at any primary care visit after the baseline period. KEY RESULTS: A total of 609,763 veterans (mean age: 34 years and 13.24% female) were included in our study. Median follow-up time was 4.8 years. Within this cohort, 124,395 veterans (20.40%) were prescribed an opioid. A total of 1,455 Veterans (0.24%) were diagnosed with AF. In adjusted time-updated Cox regressions, the risk of incident AF was higher in the veterans prescribed opioids (hazard ratio [HR]: 1.47; 95% confidence interval [CI]: 1.38-1.57). In adjusted time-updated Cox regressions, both immunomodulating and nonimmunomodulating opioid type was associated with increased risk of incident AF (HR: 1.40; 95% CI: 1.25-1.57 and HR: 1.49; 95% CI: 1.39-1.60), compared to no opioid use, respectively. CONCLUSIONS: Our findings suggest opioid prescription may be a modifiable risk factor for the development of AF.

Prescription for Cash? Cash Support to Low-Income Families in Maternal and Pediatric Health Care Settings.

Policy Points Pregnancy and childhood are periods of heightened economic vulnerability, but current policies for addressing health-related social needs, including screening and referral programs, may be insufficient because of persistent gaps, incomplete follow-up, administrative burden, and limited take-up. To bridge gaps in the social safety net, direct provision of cash transfers to low-income families experiencing health challenges during pregnancy, infancy, and early childhood could provide families with the flexibility and support to enable caregiving, increase access to health care, and improve health outcomes.

Associations between pharmaceutical industry payments to physicians and prescription of PARP inhibitors in the United States.

PURPOSE: To evaluate the association between industry payments to physicians related to poly (ADP-ribose) polymerase inhibitors (PARPis) and physicians' prescribing behaviors for PARPis. METHODS: This panel-data analysis used the publicly accessible Open Payments Database and Medicare Part D database between 2017 and 2021. All physicians who reported >10 claims for either olaparib, rucaparib, or niraparib were included in this study. Non-research payments for the PARPis to the physicians from the PARPi manufacturers were extracted from the Open Payments Database. Associations between the physicians' receipt of payments and likelihood of prescribing PARPis were assessed with logistic generalized estimating equations (GEEs). Dose-response associations between the number of payments and prescription volumes and Medicare expenditures were evaluated with linear GEEs. RESULTS: Of the 1686 eligible physician prescribers, 68.7% received one or more non-research payments related to any of the three PARPis from the manufacturers between 2017 and 2021. Median annual payments per physician were $57 for olaparib, $39 for rucaparib, and $62 for niraparib. Receipt of payments for each PARPi was associated with higher odds of prescribing olaparib (odds ratio [OR]: 1.30 [95% CI: 1.14-1.48], p < 0.001), rucaparib (OR: 2.07 [95% CI: 1.58-2.72], p < 0.001), and niraparib (OR: 1.49 [95% CI: 1.22-1.81], p < 0.001). Dose-response effects were observed between the number of annual payments and the number of prescriptions and/or Medicare expenditures for olaparib and rucaparib. CONCLUSION: Non-research payments to physician prescribers of PARP inhibitors from the manufacturers were significantly associated with increased prescriptions and Medicare expenditures for olaparib and rucaparib in the United States.

A personalized protocol for prescribing opioids after cesarean delivery: leveraging the electronic medical record to reduce outpatient opioid prescriptions.

BACKGROUND: Although cesarean delivery is the most common surgery performed in the United States, prescribing practices for analgesia vary. Strategies to manage postpartum pain have mostly focused on the immediate postpartum period when patients are still admitted to the hospital. At discharge, most providers prescribe a fixed number of opioid tablets. Most patients do not use all the opioids that they are prescribed at hospital discharge. This leads to an excess of opioids in the community, which can ultimately lead to misuse and diversion. OBJECTIVE: This study aimed to determine whether a transition from universal opioid prescribing to a personalized, patient-specific protocol decreases morphine milligram equivalents prescribed at hospital discharge after cesarean delivery while adequately controlling pain. STUDY DESIGN: This was a prospective cohort study of patients undergoing cesarean delivery before and after the implementation of a personalized opioid-prescribing practice at the time of hospital discharge. Each patient was prescribed scheduled ibuprofen and acetaminophen, with a prescription for oxycodone tablets equal to 5 times the morphine milligram equivalents used in the 24 hours before discharge, calculated via an electronic order set. The previous traditional cohorts were routinely prescribed 30 tablets of acetaminophen-codeine 300/30 mg. The primary outcome was morphine milligram equivalents prescribed at discharge. A hotline to address pain control issues after discharge was established, and calls, emergency department visits, and readmissions were examined. Statistical analyses was performed using chi-square and Wilcoxon rank-sum test, with a P value of <.05 considered statistically significant. RESULTS: Overall, 412 patients underwent cesarean delivery in the 6 weeks after initiation of the personalized prescribing protocol and were compared with 367 patients before the change. The median morphine milligram equivalents prescribed at discharge was lower with personalized prescribing (37.5 [interquartile range, 0-75] vs 135 [interquartile range, 135-135]; P<.001). Moreover, 176 patients (43%) were not prescribed opioids at discharge, which was a substantial change as all 367 patients in the traditional cohort received opioids at discharge (P<.001). Of note, 9 hotline phone calls were received; none required additional opioids after a 24-hour trial of scheduled ibuprofen, which none had taken before the call. In addition, 11 patients (2.7%) presented to the emergency department for pain evaluation, of which none required readmission or an outpatient prescription of opioids. CONCLUSION: A personalized protocol for opioid prescriptions after cesarean delivery decreased the total morphine milligram equivalents and the number of opioid tablets at discharge, without hospital readmissions or need for rescue opioid prescriptions after discharge. Opioids released into our community will be reduced by more than 90,000 tablets per year, without demonstrable adverse effect.

Persistent underuse of extended venous thromboembolism prophylaxis in patients undergoing major abdominal cancer operations.

BACKGROUND: Guidelines recommend extended venous thromboembolism (VTE) prophylaxis for high-risk populations undergoing major abdominal cancer operations. Few studies have evaluated extended VTE prophylaxis in the Medicare population who are at higher risk due to age. METHODS: We performed a retrospective study using a 20% random sample of Medicare claims, 2012-2017. Patients ≥65 years with an abdominal cancer undergoing resection were included. Primary outcome was the proportion of patients receiving new extended VTE prophylaxis prescriptions at discharge. Secondary outcomes included postdischarge VTE and hemorrhagic events. RESULTS: The study included 72 983 patients with a mean age of 75. Overall, 8.9% of patients received extended VTE prophylaxis. This proportion increased (7.2% in 2012, 10.6% in 2017; p < 0.001). Incidence of postdischarge hemorrhagic events was 1.0% in patients receiving extended VTE prophylaxis and 0.8% in those who did not. The incidence of postdischarge VTE events was 5.2% in patients receiving extended VTE prophylaxis and 2.4% in those who did not. CONCLUSION: Adherence to guideline-recommended extended VTE prophylaxis in high-risk patients undergoing major abdominal cancer operations is low. The higher rate of VTE in the prophylaxis group may suggest we captured some therapeutic anticoagulation, which would mean the actual rate of thromboprophylaxis is lower than reported herein.

Association of initial opioid prescription duration and an opioid refill by pain diagnosis: Evidence from outpatient settings in ten US health systems.

OBJECTIVE: The Centers for Disease Control and Prevention's 2022 Clinical Practice Guideline for Prescribing Opioids for Pain cautioned that inflexible opioid prescription duration limits may harm patients. Information about the relationship between initial opioid prescription duration and a subsequent refill could inform prescribing policies and practices to optimize patient outcomes. We assessed the association between initial opioid duration and an opioid refill prescription. METHODS: We conducted a retrospective cohort study of adults ≥19 years of age in 10 US health systems between 2013 and 2018 from outpatient care with a diagnosis for back pain without radiculopathy, back pain with radiculopathy, neck pain, joint pain, tendonitis/bursitis, mild musculoskeletal pain, severe musculoskeletal pain, urinary calculus, or headache. Generalized additive models were used to estimate the association between opioid days' supply and a refill prescription. RESULTS: Overall, 220,797 patients were prescribed opioid analgesics upon an outpatient visit for pain. Nearly a quarter (23.5%) of the cohort received an opioid refill prescription during follow-up. The likelihood of a refill generally increased with initial duration for most pain diagnoses. About 1 to 3 fewer patients would receive a refill within 3 months for every 100 patients initially prescribed 3 vs. 7 days of opioids for most pain diagnoses. The lowest likelihood of refill was for a 1-day supply for all pain diagnoses, except for severe musculoskeletal pain (9 days' supply) and headache (3-4 days' supply). CONCLUSIONS: Long-term prescription opioid use increased modestly with initial opioid prescription duration for most but not all pain diagnoses examined.

Prescription patterns in unipolar depression: A nationwide Danish register-based study of 113,175 individuals followed for 10 years.

BACKGROUND: Evidence-based use of antidepressant medications is of major clinical importance. We aimed to uncover precription patterns in a large cohort of patients with unipolar depression. MATERIAL AND METHODS: Using Danish nationwide registers, we identified individuals with a first-time hospital diagnosis of unipolar depression between January 1st, 2001, and December 31st, 2016. Redemeed prescriptions of antidepressants from five years before to five years after diagnosis were retreived. Lithium and relevant antipsychotics were included. Data were analyzed with descriptive statistics including sunburst plots. Cox regressions were used to rank the risk of treatment failure according to antidepressant category and depression severity, as measured by hazard ratios of drug shift. RESULTS: The full study population consisted of 113,175 individuals. Selective Serotonin Reuptake Inhibitors was the predominantly prescribed first-line group, both before (55.4%) and after (47.7%) diagnosis and across depression severities. Changes of treatment strategy were frequent; 60.8%, 33.7%, and 17.1% reached a second, third, and fourth treatment trial after the hospital diagnosis, respectively. More than half of patients continued their pre-diagnosis antidepressant after diagnosis. The risk of change of treatment strategy was generally lower in mild-moderate depression and higher in severe depression, with tricyclic antidepressants carrying the highest risk in the former and the lowest risks in the latter. Overall, prescribing were often not in accordance with guidelines. CONCLUSION: These findings uncover a potential for improving the clinical care for patients with unipolar depression through optimization of the use of marketed antidepressants.

Prescription Sequence Symmetry Analysis (PSSA) to assess prescribing cascades: a step-by-step guide.

Prescribing cascades occur when patients are prescribed medication to treat the adverse drug reaction of previously prescribed medication. Prescription sequence symmetry analysis (PSSA) can be used to assess the association between two medications in prescription or dispensing databases and thus the potential occurrence of prescribing cascades. In this article, a step-by-step guide is presented for conducting PSSA to assess prescribing cascades. We describe considerations for medication data collection and setting time periods for relevant parameters, including washout window, exposure window, continued exposure interval and blackout period. With two examples, we illustrate the impact of changes in these parameters on the strengths of associations observed. Given the impact seen, we recommend that researchers clearly specify and explain all considerations regarding medication included and time windows set when studying prescribing cascades with PSSA, and conduct subgroup and sensitivity analyses.

Do subjective components of disease activity contribute to heterogeneity in opioid prescriptions in inflammatory rheumatic diseases? Results from ESPOIR and DESIR cohorts.

OBJECTIVES: To determine whether subjective components of disease activity are associated with heterogeneity in opioid prescription in inflammatory rheumatic diseases (IRDs) after accounting for objective inflammatory markers. METHODS: Data from two prospective observational cohorts of early IRDs (ESPOIR for rheumatoid arthritis (RA) and DESIR for spondyloarthritis (SpA)) were included. Opioid prescription duration (converted to monthly binary opioid prescription), disease activity (Disease activity score 28 (DAS28) for RA; Axial spondyloarthritis disease activity score-C-reactive protein (ASDAS-CRP) for SpA) and its components were measured respectively at 13 and 9 occasions spanning 10- and 6-years of follow-up. Group-based trajectory modelling defined opioid-prescription trajectories and mixed-models characterised the evolution of disease activity and its subjective components by opioid-prescription trajectories. RESULTS: Four distinct opioid-prescription trajectories: no/low (60.5% and 54.3%), declining (14.7% and 15.8%), augmenting (11.9% and 10.7%), and persistent (12.9% and 19.1%) were identified in RA and SpA respectively (60% were prescribed opioids at least once). Those with regular opioid prescriptions (up to 30%) are often older, less educated, have higher BMI and worse disease. No/low trajectory was the reference for examining evolution of disease activity and subjective components (n=810 RA, n=679 SpA). In IRDs, consistently higher disease activity throughout follow-up were seen with persistent (DAS28(ß=0.4-0.8); ASDAS-CRP(ß=0.4-0.6)), and augmenting (DAS28(ß=0.2-0.5); ASDAS-CRP(ß=0.3-0.6)) trajectories and until 3- or 4-years of follow-up (DAS28(ß=0.3-0.4); ASDAS-CRP(ß=0.2-0.3)) with declining trajectory. Likewise, despite accounting for objective inflammation, subjective components had worse scores over follow-up in augmenting and persistent trajectory. CONCLUSIONS: Non-inflammatory pain mechanisms amplify subjective outcomes, thus, worsening composite measures like disease activity.

Prevalence of and factors associated with the early prescription of antiseizure medications in adults newly diagnosed with epilepsy in Germany.

BACKGROUND: There is little information on prescription patterns of antiseizure medications (ASMs) during the early management of patients with epilepsy in Germany. Therefore, this study investigated the prevalence of and the factors associated with ASM prescription in patients newly diagnosed with epilepsy in this country. METHODS: Adults diagnosed for the first time with epilepsy in one of 128 neurology practices in Germany between 2005 and 2021 were included (Disease Analyzer database, IQVIA). The prescription of ASMs was assessed within 30 days, six months, and 12 months of the diagnosis. Covariates were demographic factors, epilepsy sub-diagnoses, and co-diagnoses frequently associated with epilepsy. RESULTS: This study included 55,962 participants (mean [SD] age 52.5 [20.0] years; 50.5 % men). The prevalence of ASM prescription ranged from 45.0 % within 30 days to 66.0 % within 12 months of the diagnosis. Men were less likely to receive ASMs within six and 12 months of epilepsy diagnosis than women. In addition, epilepsy sub-diagnoses of symptomatic, complex, or generalized nature were associated with increased odds of ASM prescription compared with epilepsy of unspecified nature. Finally, there was an inverse and significant association between multiple co-diagnoses (e.g., diabetes, mental and behavioral disorders due to use of alcohol, and traumatic brain injury) and ASM prescribing. CONCLUSIONS: A substantial proportion of participants were prescribed ASMs in the year following epilepsy diagnosis, highlighting that the early prescription of ASMs was necessary for these patients. Further research is warranted to corroborate the present findings in other countries and settings.

Annual evolution of the prescription of drugs with prognostic implications in acute decompensated heart failure with reduced ejection fraction.

BACKGROUND: Quadruple therapy (renin angiotensin system inhibitors, beta-blockers, mineralocorticoid receptor antagonists and sodium/glucose cotransporter type 2 inhibitors [SGLT2i]) has become the current prognostic modifying treatment for heart failure (HF) with reduced ejection fraction (HFrEF). This study aimed to analyse the prescription´s evolution of this combination therapy, the analysis of each pharmacological group and the differences according to HF subgroups. METHODS: Retrospective analysis of consecutive patients admitted for cardiac decompensation. Inclusion period: from 1-1-2020 to 12-31-2022. Patients with left ventricular ejection fraction > 40% and deceased during admission were excluded. Finally, 602 patients were included. These were divided into: (a) de novo HF without previous heart disease (n:108), (b) de novo with previous heart disease (n:107), and (c) non-de novo (n:387). RESULTS: Over the study time, all pharmacological groups experienced an increase in drugs prescription (p < 0.001). The group with the largest prescription rate increase was SGLT2i (2020:20%, 2021:42.9%, 2022:70.4%; mean increase 47.2%). The discharge rate prescription of quadruple therapy increased progressively (2020:7.4%, 2021:21.1%, 2022:32.5%; mean increase 21.9%). The subgroup with the highest combined prescription in 2022 was de novo with previous heart disease (43.9%). CONCLUSION: The pharmacological group with the largest prescription´s rate increase was SGLT2i. The percentage of patients discharged on quadruple therapy has progressed significantly in recent years, although it remains low. The most optimised subgroup at discharge was that of de novo HF with previous heart disease.

Incomplete capture of apremilast in Clinical Practice Research Datalink Aurum: An example of exposure misclassification of specialty treatments in United Kingdom general practice databases.

PURPOSE: Nearly all apremilast users captured in Clinical Practice Research Datalink (CPRD) Aurum have only one prescription, which is inconsistent with its prescribing pattern. The goal of this study was to assess capture of apremilast prescriptions in CPRD Aurum by comparison to CPRD GOLD and general practitioner (GP) questionnaires. METHODS: We compared the number of apremilast prescriptions for patients in Aurum to (1) those in GOLD and (2) those reported by the GPs via questionnaire responses. RESULTS: There were 441 Aurum patients with an apremilast prescription (424 [96%] in England) and 341 GOLD patients (11 [3%]) in England). In Aurum 91% of all patients (and 96% of English patients) had only one apremilast prescription while in GOLD 29% of all patients (and 82% of English patients) had only one prescription. We received questionnaire responses from GPs for 50 of 390 (13%) patients participating in Aurum who had 57 total apremilast exposed months captured in Aurum. GPs reported 8 (16%) patients with only one prescription and a median of 4 (range 1-35) apremilast prescriptions per patient, yielding 463 total months of apremilast exposure. CONCLUSIONS: CPRD Aurum captures only one apremilast prescription for most recorded users, though questionnaire responses indicated most patients received multiple prescriptions. Researchers using any UK GP database should be aware of potential for significant exposure misclassification of apremilast and other treatments classified as specialist or shared care by local Area Prescribing Committees.

Patterns of filled prescriptions and the association with risk of drug-induced death. A population-based nested case-control register study.

PURPOSE: Opioid analgesics (OA) and other pharmaceuticals have been associated with drug-induced deaths. However, there is a lack of knowledge regarding patterns of use of these pharmaceuticals in the population and regarding such associations. We identify and describe subgroups of people with different patterns of filled prescriptions of OA and other relevant pharmaceuticals and examine associations with drug-induced deaths. In addition, we estimate the proportion of drug-induced deaths with a filled OA prescription and OA as cause of death. METHODS: A Norwegian population-based nested case-control register study with cases (drug-induced deaths 2010-2018, N = 2388) and population controls matched for age, gender and year of inclusion (N = 21 465). Patterns of filled prescriptions for opioid analgesics (OA), benzodiazepines and benzodiazepine-related drugs, gabapentinoids, ADHD medication and antidepressants/antipsychotics were explored by k-means cluster analysis. Associations with drug-induced deaths were estimated by conditional logistic regression adjusted for sociodemographic characteristics. Overlap of filled OA prescriptions and OA as cause of death was estimated. RESULTS: Five clusters were identified: 'few prescriptions', 'weak OA', 'ADHD medication', 'sedative/psychiatric morbidity' and 'strong OA'. The 'strong OA' cluster had higher socioeconomic status compared to the other groupings. The risk of drug-induced death was also highest in this cluster (OR = 35.5; CI 25.6-49.3) and, for 68% (CI 64-73) of cases, filled prescriptions for OA was indicated as the underlying cause of death. CONCLUSIONS: The cluster analysis identified a subgroup with filled prescriptions of OA and other pharmaceuticals and a higher socioeconomic status than other subgroups. This subgroup had a high risk of drug-induced death that needs to be addressed.

Drug-induced orthostatic hypotension: Cluster analysis of co-prescription patterns in older people in UK primary care.

PURPOSE: Over 250 medications are reported to cause orthostatic hypotension, associated with serious adverse outcomes in older adults. Studies suggest a harmful cumulative risk of orthostatic hypotension with multiple medication use. However, there is limited evidence on the potential for harm in practice, particularly which drugs is co-prescribed and may increase risk of orthostatic hypotension. METHODS: Retrospective cohort study and cluster analysis using general practice data from IQVIA Medical Research Data (IMRD) in patients aged ≥50 contributing data between 1 January 2018 and 31 December 2018. Thirteen drug groups known to be associated with orthostatic hypotension by mechanism, were analyzed and clusters generated by sex and age-band. RESULTS: A total of 602 713 individuals aged ≥50 with 283 912 (47%) men and 318 801 (53%) women were included. The most prevalent prescriptions that might contribute to orthostatic hypotension were ACE inhibitors, calcium-channel blockers, beta-blockers, selective serotonin reuptake inhibitors and uroselective alpha-blockers. We identified distinct clusters of cardiovascular system (cardiovascular system) drugs in men and women at all ages. cardiovascular system plus psychoactive drug clusters were common in women at all ages, and in men aged ≤70. cardiovascular system plus uroselective alpha-blockers were identified in men aged ≥70. CONCLUSIONS: Distinct clusters of drugs associated with orthostatic hypotension exist in practice, which change over the life course. Our findings highlight potentially harmful drug combinations that may cause cumulative risk of orthostatic hypotension in older people. This may guide clinicians about the potential of synergistic harm and to monitor for orthostatic hypotension if using combinations of cardiovascular system drugs, cardiovascular system plus psychoactive drugs and/or alpha-blockers-particularly in patients aged ≥70 or at high-risk due to comorbidity. Future research should consider quantifying the risk of drug-induced orthostatic hypotension with such drug combinations.