Contributed Paper Session 15: Emerging Medication Effects and Safety Signals
Tracks
Track 4
| Sunday, November 1, 2026 |
| 14:00 - 15:30 |
| Lecture Theatre 5 |
Speaker
Ms. Kyungwon Lee
Chung-Ang University
Increased ischemic risk with P-CAB or PPI in clopidogrel-treated stroke patients
14:00 - 14:15Abstract
Introduction: Clopidogrel is commonly used after ischemic stroke, and acid-suppressive agents are often prescribed to reduce gastrointestinal complications. However, the effects of P-CABs and PPIs on clopidogrel-related outcomes remain uncertain.
Aims: This study evaluated the efficacy and safety of concomitant P-CAB or PPI use in patients with ischemic stroke receiving clopidogrel.
Methods: We conducted a retrospective cohort study using nationwide claims data from 2016 to 2022. Patients with first-recorded ischemic stroke were identified using prespecified criteria and grouped as clopidogrel only, clopidogrel with P-CAB, or clopidogrel with PPI. After propensity score matching, 6-month risks of major adverse cardiovascular events, recurrent stroke, and gastrointestinal bleeding were compared.
Results: Among 65,180 patients with newly identified stroke between 2017 and 2021, 40,752 (62.5%) received clopidogrel. Of these, 6680 (16.4%) received clopidogrel alone, 578 (1.4%) received clopidogrel with P-CAB, and 8806 (21.6%) received clopidogrel with PPI. Recurrent stroke occurred in 268 (4.0%), 26 (4.5%), and 431 (4.9%) patients, respectively. In matched analyses, P-CAB use was associated with increased risks of major adverse cardiovascular events (HR, 2.40 [95% CI, 1.18–4.85]) and recurrent stroke (HR, 2.64 [95% CI, 1.27–5.47]) versus clopidogrel alone. PPI use was also associated with higher risks of major adverse cardiovascular events (HR, 1.38 [95% CI, 1.17–1.63]) and recurrent stroke (HR, 1.41 [95% CI, 1.20–1.67]). Esomeprazole showed similar associations, whereas gastrointestinal bleeding did not differ significantly among groups.
Conclusions: Concomitant use of P-CABs or PPIs with clopidogrel was associated with worse ischemic outcomes in patients with ischemic stroke. These agents should be prescribed cautiously in this population.
Keywords: Ischemic stroke, Clopidogrel, Potassium-competitive acid blockers.
Aims: This study evaluated the efficacy and safety of concomitant P-CAB or PPI use in patients with ischemic stroke receiving clopidogrel.
Methods: We conducted a retrospective cohort study using nationwide claims data from 2016 to 2022. Patients with first-recorded ischemic stroke were identified using prespecified criteria and grouped as clopidogrel only, clopidogrel with P-CAB, or clopidogrel with PPI. After propensity score matching, 6-month risks of major adverse cardiovascular events, recurrent stroke, and gastrointestinal bleeding were compared.
Results: Among 65,180 patients with newly identified stroke between 2017 and 2021, 40,752 (62.5%) received clopidogrel. Of these, 6680 (16.4%) received clopidogrel alone, 578 (1.4%) received clopidogrel with P-CAB, and 8806 (21.6%) received clopidogrel with PPI. Recurrent stroke occurred in 268 (4.0%), 26 (4.5%), and 431 (4.9%) patients, respectively. In matched analyses, P-CAB use was associated with increased risks of major adverse cardiovascular events (HR, 2.40 [95% CI, 1.18–4.85]) and recurrent stroke (HR, 2.64 [95% CI, 1.27–5.47]) versus clopidogrel alone. PPI use was also associated with higher risks of major adverse cardiovascular events (HR, 1.38 [95% CI, 1.17–1.63]) and recurrent stroke (HR, 1.41 [95% CI, 1.20–1.67]). Esomeprazole showed similar associations, whereas gastrointestinal bleeding did not differ significantly among groups.
Conclusions: Concomitant use of P-CABs or PPIs with clopidogrel was associated with worse ischemic outcomes in patients with ischemic stroke. These agents should be prescribed cautiously in this population.
Keywords: Ischemic stroke, Clopidogrel, Potassium-competitive acid blockers.
Biography
Kyungwon Lee is a master’s student at Chung-Ang University, where she studies clinical pharmacy and pharmaceutical regulation. Her academic interests include ischemic stroke, antiplatelet therapy, and outcomes research using real-world data. She has contributed to research on the effectiveness and safety of treatments in patients with cerebrovascular disease. Kyungwon Lee is committed to advancing evidence-based stroke care through clinically focused research and academic collaboration.
Ms Cuiling Wei
PhD Candidate
The University of Hong Kong
Depression incidence following oral prophylactics and CGRP injection for migraine or headache
14:15 - 14:30Abstract
Introduction: Migraine is associated with up to a six-fold increased risk of major depressive disorder, yet comparative evidence on depression risk between oral prophylactics and CGRP-targeted injections remains limited. Prospective studies have only evaluated changes in depressive symptom severity among patients with pre-existing depression instead of incident depression.
Aims: We compared depression incidence among migraine or headache patients continuing/initiating oral prophylactics versus those switching/initiating to CGRP-targeted injections.
Methods: We conducted a retrospective cohort study using the JMDC claims database up to February 2025. A prevalent new-user (PNU) design compared patients switching from oral prophylactics (propranolol, amitriptyline, valproate, lomerizine, verapamil, and dimetotiazine) to CGRP injections (erenumab, fremanezumab, and galcanezumab) versus those continuing oral prophylactics. An active-comparator new-user (ACNU) design was restricted to incident new users. All patients had migraine/headache diagnosis and no depression at baseline. Incident depression was the primary outcome. Adjusted HRs with 95% CIs were estimated from stratified Cox models with 1:4 time-conditional propensity score matching (PNU), and from IPTW Cox models (ACNU).
Results: In the PNU cohort (19,469 continued-oral, 3,783 switch-to-CGRP), switching to CGRP was not associated with a difference in incident depression versus continuing oral prophylactics (incidence rate: 7.79 vs 7.61 per 100 person-years; adjusted HR: 1.00; 95% CI: 0.87-1.16). In the ACNU cohort (137,152 oral initiators, 2,032 CGRP injection initiators), initiating CGRP was associated with a 47% lower risk of incident depression versus initiating oral prophylactics (incidence rate: 4.97 vs. 8.28 per 100 person-years; adjusted HR: 0.53; 95% CI: 0.40-0.70). Sensitivity analyses yielded consistent results.
Conclusions: Initiating CGRP injections as first-line preventive therapy was associated with a substantially lower risk of incident depression compared with initiating oral prophylactics. However, this protective association was not observed when CGRP injections were used as a later-line option after prior oral therapy.
Keywords: CGRP-targeting therapy; oral prophylactics; migraine
Aims: We compared depression incidence among migraine or headache patients continuing/initiating oral prophylactics versus those switching/initiating to CGRP-targeted injections.
Methods: We conducted a retrospective cohort study using the JMDC claims database up to February 2025. A prevalent new-user (PNU) design compared patients switching from oral prophylactics (propranolol, amitriptyline, valproate, lomerizine, verapamil, and dimetotiazine) to CGRP injections (erenumab, fremanezumab, and galcanezumab) versus those continuing oral prophylactics. An active-comparator new-user (ACNU) design was restricted to incident new users. All patients had migraine/headache diagnosis and no depression at baseline. Incident depression was the primary outcome. Adjusted HRs with 95% CIs were estimated from stratified Cox models with 1:4 time-conditional propensity score matching (PNU), and from IPTW Cox models (ACNU).
Results: In the PNU cohort (19,469 continued-oral, 3,783 switch-to-CGRP), switching to CGRP was not associated with a difference in incident depression versus continuing oral prophylactics (incidence rate: 7.79 vs 7.61 per 100 person-years; adjusted HR: 1.00; 95% CI: 0.87-1.16). In the ACNU cohort (137,152 oral initiators, 2,032 CGRP injection initiators), initiating CGRP was associated with a 47% lower risk of incident depression versus initiating oral prophylactics (incidence rate: 4.97 vs. 8.28 per 100 person-years; adjusted HR: 0.53; 95% CI: 0.40-0.70). Sensitivity analyses yielded consistent results.
Conclusions: Initiating CGRP injections as first-line preventive therapy was associated with a substantially lower risk of incident depression compared with initiating oral prophylactics. However, this protective association was not observed when CGRP injections were used as a later-line option after prior oral therapy.
Keywords: CGRP-targeting therapy; oral prophylactics; migraine
Biography
Cuiling Wei (Claire) is a PhD student specializing in pharmacoepidemiology, with a particular focus on central nervous system drugs. She is currently pursuing a PhD at the University of Hong Kong under the supervision of Dr. Francisco Tsz Tsun Lai, with co-supervision from Prof. Esther Wai Yin Chan. Claire earned her Master of Public Health from the University of Hong Kong and a Bachelor’s degree in Biomedical Engineering from Beihang University. Her research portfolio includes publications in leading journals such as European Neuropsychopharmacology, Journal of Headache and Pain, and Epilepsia, addressing topics from safer use of antidepressant, antiseizure medications and migraine-specific medications. Claire has experience in presenting her works at international conferences and contributed to methodological design and statistical analysis in safe medication.
Ms Hyunyi Yoo
Kyung Hee University
Pharmacovigilance signals and global burden trends of epilepsy: Integrated FAERS-GBD 2023 analysis
14:30 - 14:45Abstract
Introduction. Epilepsy is associated with substantial economic burden and increased risks of psychiatric comorbidities, including depression. However, pharmacovigilance evidence regarding drug-associated epilepsy remains limited.
Aims. We aimed to identify the top 10 drugs associated with epilepsy-related adverse events using FAERS and to estimate the global burden of idiopathic epilepsy using GBD 2023 data.
Methods. This study utilized the United States Food and Drug Administration Adverse Event Reporting System (FAERS) to identify the top 10 drugs associated with epilepsy. Epilepsy was defined using preferred terms based on the Medical Dictionary for Regulatory Activities. Pharmacovigilance signals were identified using disproportionality analyses with the information component and reporting odds ratio (ROR), along with corresponding 95% confidence intervals (CIs). We also assess the global burden of idiopathic epilepsy between 1990 and 2023, using data from the Global Burden of Disease Study 2023. Burden of idiopathic epilepsy was assessed using disability-adjusted life years (DALYs), with 95% uncertainty intervals (UIs).
Results. Among 3,843 reported epilepsy-related adverse events, females accounted for 55.45%. Although Adalimumab was the most frequently reported drug (n=706), disproportionality signals were not significant. Imipenem/cilastatin showed the strongest signals (IC 6.24 [IC0.25, 6.11]; ROR 96.96 [95% CI, 89.13-105.49]), with disproportionality signals progressively increasing with age and peaking among individuals aged ≥70 years. Reporting trends for Natalizumab and Bupropion declined over time. In 2023, Sub-Saharan Africa had the highest age-standardized DALY rates for idiopathic epilepsy. DALY rates showed a U-shaped age distribution, peaking among children aged <5 years, and were consistently higher in males than in females.
Discussion. Several drugs showed strong pharmacovigilance signals for epilepsy, particularly imipenem/cilastatin, with disproportionately elevated risks observed among older adults. Given the substantial burden of idiopathic epilepsy across vulnerable populations and regions, enhanced neurological safety monitoring and targeted prevention strategies may be warranted.
Keywords. Pharmacovigilance, epilepsy, DALY.
Aims. We aimed to identify the top 10 drugs associated with epilepsy-related adverse events using FAERS and to estimate the global burden of idiopathic epilepsy using GBD 2023 data.
Methods. This study utilized the United States Food and Drug Administration Adverse Event Reporting System (FAERS) to identify the top 10 drugs associated with epilepsy. Epilepsy was defined using preferred terms based on the Medical Dictionary for Regulatory Activities. Pharmacovigilance signals were identified using disproportionality analyses with the information component and reporting odds ratio (ROR), along with corresponding 95% confidence intervals (CIs). We also assess the global burden of idiopathic epilepsy between 1990 and 2023, using data from the Global Burden of Disease Study 2023. Burden of idiopathic epilepsy was assessed using disability-adjusted life years (DALYs), with 95% uncertainty intervals (UIs).
Results. Among 3,843 reported epilepsy-related adverse events, females accounted for 55.45%. Although Adalimumab was the most frequently reported drug (n=706), disproportionality signals were not significant. Imipenem/cilastatin showed the strongest signals (IC 6.24 [IC0.25, 6.11]; ROR 96.96 [95% CI, 89.13-105.49]), with disproportionality signals progressively increasing with age and peaking among individuals aged ≥70 years. Reporting trends for Natalizumab and Bupropion declined over time. In 2023, Sub-Saharan Africa had the highest age-standardized DALY rates for idiopathic epilepsy. DALY rates showed a U-shaped age distribution, peaking among children aged <5 years, and were consistently higher in males than in females.
Discussion. Several drugs showed strong pharmacovigilance signals for epilepsy, particularly imipenem/cilastatin, with disproportionately elevated risks observed among older adults. Given the substantial burden of idiopathic epilepsy across vulnerable populations and regions, enhanced neurological safety monitoring and targeted prevention strategies may be warranted.
Keywords. Pharmacovigilance, epilepsy, DALY.
Biography
Hyunyi Yoo is a researcher at the Kyung Hee University College of Medicine whose research focuses on pharmacovigilance, drug safety, and global burden of disease analysis. She is particularly interested in understanding the epidemiological and clinical impacts of diseases, adverse drug reactions, and therapeutic outcomes by integrating real-world healthcare data and population-level evidence. Her work primarily utilizes large-scale healthcare databases, including the FDA Adverse Event Reporting System (FAERS) and the Global Burden of Disease (GBD) 2023 database, to investigate drug safety signals, disease burden patterns, and healthcare disparities across diverse populations. She has conducted multiple studies involving disproportionality analyses, demographic risk stratification, and drug interaction assessments to generate clinically meaningful evidence. By integrating pharmacovigilance and global epidemiological research, her work aims to advance precision drug-safety surveillance, support evidence-based clinical decision-making, and contribute to the development of more effective public health strategies worldwide.
Mr Chun-Ta Peng
Fu Jen Catholic University
The real-world effectiveness of anti-osteoporosis medications in reducing incident dyslipidemia risk.
14:45 - 15:00Abstract
Introduction: Dyslipidemia represents a major health burden and shares complex pathophysiological mechanisms with bone metabolism. Antiresorptive medications are the cornerstone of osteoporosis management, but their pleiotropic effects on lipid profiles remain controversial. The comparative impact of denosumab versus bisphosphonates on the incidence of lipid disorders is currently poorly understood.
Aims: This study aims to compare the real-world effectiveness of denosumab and bisphosphonates in reducing the risk of incident dyslipidemia. We also sought to evaluate these metabolic effects across various high-risk clinical subgroups.
Methods:We conducted a retrospective active-comparator, new-user cohort study using a large federated electronic health record network. Participants included osteoporotic patients aged 50 years and older, excluding those with baseline lipoprotein disorders to minimize confounding by indication. Incident dyslipidemia was assessed using Cox regression after a 183-day landmark period within 1:1 propensity score-matched cohorts.
Results: After matching, 62,671 patient pairs (mean age 71.2 years, 91% female) were analyzed. Denosumab initiation was associated with a significantly lower risk of incident dyslipidemia compared to bisphosphonate therapy (HR 0.92, 95% CI 0.90-0.94, p<0.001). This protective effect demonstrated strong robustness to unmeasured confounding (E-value 1.33). The lipid-lowering benefit was significantly amplified in patients with baseline diabetes (HR 0.786, p for interaction=0.005). Furthermore, concurrent statin utilization synergistically enhanced this metabolic protection (HR 0.826, p for interaction<0.001). Conversely, concomitant systemic steroid use completely neutralized denosumab’s advantages (HR 0.987, p for interaction=0.027).
Conclusions: Denosumab therapy significantly lowers incident dyslipidemia risk in osteoporosis, especially among patients with concurrent diabetes or statin use. These findings advocate for personalizing osteoporosis treatments based on underlying cardiometabolic risks. Future prospective trials should elucidate the specific molecular mechanisms driving this benefit.
Keywords: Denosumab, Bisphosphonates, Dyslipidemia
Aims: This study aims to compare the real-world effectiveness of denosumab and bisphosphonates in reducing the risk of incident dyslipidemia. We also sought to evaluate these metabolic effects across various high-risk clinical subgroups.
Methods:We conducted a retrospective active-comparator, new-user cohort study using a large federated electronic health record network. Participants included osteoporotic patients aged 50 years and older, excluding those with baseline lipoprotein disorders to minimize confounding by indication. Incident dyslipidemia was assessed using Cox regression after a 183-day landmark period within 1:1 propensity score-matched cohorts.
Results: After matching, 62,671 patient pairs (mean age 71.2 years, 91% female) were analyzed. Denosumab initiation was associated with a significantly lower risk of incident dyslipidemia compared to bisphosphonate therapy (HR 0.92, 95% CI 0.90-0.94, p<0.001). This protective effect demonstrated strong robustness to unmeasured confounding (E-value 1.33). The lipid-lowering benefit was significantly amplified in patients with baseline diabetes (HR 0.786, p for interaction=0.005). Furthermore, concurrent statin utilization synergistically enhanced this metabolic protection (HR 0.826, p for interaction<0.001). Conversely, concomitant systemic steroid use completely neutralized denosumab’s advantages (HR 0.987, p for interaction=0.027).
Conclusions: Denosumab therapy significantly lowers incident dyslipidemia risk in osteoporosis, especially among patients with concurrent diabetes or statin use. These findings advocate for personalizing osteoporosis treatments based on underlying cardiometabolic risks. Future prospective trials should elucidate the specific molecular mechanisms driving this benefit.
Keywords: Denosumab, Bisphosphonates, Dyslipidemia
Biography
Chun-Ta Peng's journey into medicine began in childhood after undergoing surgery for a bone fracture, an experience that sparked a lifelong fascination with healthcare. Upon entering university, he embraced a well-rounded education, eagerly exploring courses across various disciplines while finding profound joy in mastering core medical sciences.
Currently, Peng is a dedicated sixth-year medical student and clinical clerk at the College of Medicine, Fu Jen Catholic University in Taiwan. During his fifth-year clinical rotations, working closely with hospital attending physicians and mentors ignited a deep, focused interest in pharmacological research. This invaluable hands-on hospital experience successfully bridged the gap between theoretical knowledge and practical patient care, driving his ongoing commitment to understanding drug effectiveness as he prepare for his future medical career.
Mr Hyeongjun Han
Pusan National University
Beyond suspected drugs: class-level profiling of polypharmacy ADR reports
15:00 - 15:15Abstract
Introduction:
Conventional pharmacovigilance focuses on the suspected drug recorded in each adverse drug reaction (ADR) report. In polypharmacy, however, a serious outcome may reflect the full set of concurrent medications rather than any single suspected agent. We asked whether class-level profiles built from all concomitant medications capture seriousness-related patterns that are attenuated when only suspected drugs are analyzed.
Objectives:
To characterize medication class profiles in polypharmacy ADR reports and to test whether restricting analysis to suspected drugs underestimates the association between medication complexity and serious outcomes.
Methods:
We analyzed a Korean national spontaneous ADR reporting database (2020–2024), retaining reports with five or more concomitant medications. ATC third-level classes with at least 100 reports were profiled using medication-complexity and reporting-context variables (e.g., age, sex). We applied principal component analysis, factor analysis, and Ward clustering. Sensitivity analyses compared profiles derived from all concomitant medications against those derived from suspected drugs only.
Results:
Profiling identified three dimensions: medication complexity, age-related reporting, and sex-related reporting. Although seriousness was not used to build the profiles, the complexity dimension was associated post hoc with serious-event rate, hospitalization, and death. Restricting the analysis to suspected drugs substantially weakened these associations, indicating that suspected-drug-only profiles retained less of the seriousness-related structure present in the full concomitant profile. The complexity gradient persisted across age and sex strata, arguing against a simple reflection of patient demographics. Clustering separated classes into interpretable groups with distinct complexity and seriousness gradients.
Conclusion:
Seriousness-related signals in polypharmacy ADR reports were expressed more strongly in the full concomitant medication class profile than in suspected drugs alone. Suspected-drug-centered surveillance may therefore overlook context-level risk that arises from the medication environment as a whole. Routinely profiling all concomitant medications could give pharmacovigilance an additional, scalable lens for flagging high-risk polypharmacy reports that current workflows leave underexamined.
Conventional pharmacovigilance focuses on the suspected drug recorded in each adverse drug reaction (ADR) report. In polypharmacy, however, a serious outcome may reflect the full set of concurrent medications rather than any single suspected agent. We asked whether class-level profiles built from all concomitant medications capture seriousness-related patterns that are attenuated when only suspected drugs are analyzed.
Objectives:
To characterize medication class profiles in polypharmacy ADR reports and to test whether restricting analysis to suspected drugs underestimates the association between medication complexity and serious outcomes.
Methods:
We analyzed a Korean national spontaneous ADR reporting database (2020–2024), retaining reports with five or more concomitant medications. ATC third-level classes with at least 100 reports were profiled using medication-complexity and reporting-context variables (e.g., age, sex). We applied principal component analysis, factor analysis, and Ward clustering. Sensitivity analyses compared profiles derived from all concomitant medications against those derived from suspected drugs only.
Results:
Profiling identified three dimensions: medication complexity, age-related reporting, and sex-related reporting. Although seriousness was not used to build the profiles, the complexity dimension was associated post hoc with serious-event rate, hospitalization, and death. Restricting the analysis to suspected drugs substantially weakened these associations, indicating that suspected-drug-only profiles retained less of the seriousness-related structure present in the full concomitant profile. The complexity gradient persisted across age and sex strata, arguing against a simple reflection of patient demographics. Clustering separated classes into interpretable groups with distinct complexity and seriousness gradients.
Conclusion:
Seriousness-related signals in polypharmacy ADR reports were expressed more strongly in the full concomitant medication class profile than in suspected drugs alone. Suspected-drug-centered surveillance may therefore overlook context-level risk that arises from the medication environment as a whole. Routinely profiling all concomitant medications could give pharmacovigilance an additional, scalable lens for flagging high-risk polypharmacy reports that current workflows leave underexamined.
Biography
Hyeongjun Han is an undergraduate student in the Department of Statistics at Pusan National University. He focuses on statistical methods for pharmacovigilance. His main focus is multivariate analysis of spontaneous adverse drug reaction reports and polypharmacy safety. He also founded startup Mediguard. It is an early-stage company that builds tools for polypharmacy management. The company has received awards and is currently operating with USD 50000 in seed funding. He has won several national machine learning competitions. These include a first prize at a national-level contest and a minister's award. His current work applies disproportionality analysis XGBoost SHAP and association rule mining to the Korea Adverse Event Reporting System. He has two manuscripts in preparation. After graduation he plans to pursue doctoral training in statistics or biostatistics in the United States. His longer-term interests sit between pharmacoepidemiology real-world evidence and applied AI in healthcare.
Ms Wen-Hsuan Liao
National Taiwan University
Anticholinergic Medication-Class Patterns and Cardiovascular Risk in Older Adults: Group-Based Multi-Trajectory Analysis
15:15 - 15:30Abstract
Introduction: Prior studies link high anticholinergic burden to increased cardiovascular risk in older adults, but burden scores aggregate diverse drug classes, leaving unclear whether this risk reflects cumulative burden or specific drug-class exposures. Moreover, prior studies have failed to capture the dynamic, time-varying nature of real-world anticholinergic use.
Aims: To identify multi-trajectory subtypes of anticholinergic medication-class use among older adults and evaluate their association with cardiovascular outcomes by frailty status.
Methods: Using nationwide claims database, we identified adults aged ≥65 years newly initiating Anticholinergic Cognitive Burden (ACB) Scale-listed medication in 2012. Individuals with 4-point major adverse cardiovascular events (4p-MACE) or death before or during the 3-year exposure period were excluded. Exposure across six drug categories (cardiovascular, psychotropic, antihistamine, overactive bladder, gastrointestinal, and theophylline/other) was measured quarterly and analyzed using group-based multi-trajectory modeling. Cox proportional hazards models, adjusted for age, sex, ACB score, cardiovascular risk factors, and multimorbidity frailty index (mFI), estimated hazard ratios for 4p-MACE and all-cause mortality over 9 years, with mFI-stratified subgroup analyses.
Results: Among 55,675 eligible participants (mean age 74.0± 6.4 years; 52.5% female), four subtypes were identified: transient (57.1%) and three persistent subtypes-CV-dominant (14.5%), psychotropic-dominant (16.0%), and theophylline/antihistamine-dominant (12.5%). Relative to transient users, CV-dominant and theophylline/antihistamine-dominant trajectories showed significantly higher 4p-MACE risk (aHR 1.22, 95% CI, 1.16-1.27; aHR 1.08, 95% CI, 1.03-1.13) and all-cause mortality (aHR 1.21, 95% CI, 1.16-1.26; aHR 1.15, 95% CI, 1.11-1.20). The psychotropic-dominant group showed no significant association with 4p-MACE (aHR 0.99, 95% CI, 0.94-1.04) but a significantly higher mortality risk (aHR 1.11, 95% CI, 1.07-1.16). Risks attenuated to non-significance in the severely frail stratum (CV-dominant 4p-MACE: aHR 1.00, 95% CI, 0.81-1.24).
Conclusions: Associations between anticholinergic medications and cardiovascular or mortality outcomes are drug-class specific and frailty-dependent, supporting composition-based rather than purely cumulative risk assessment.
Keywords: anticholinergic burden, multi-trajectory modeling, cardiovascular risk
Aims: To identify multi-trajectory subtypes of anticholinergic medication-class use among older adults and evaluate their association with cardiovascular outcomes by frailty status.
Methods: Using nationwide claims database, we identified adults aged ≥65 years newly initiating Anticholinergic Cognitive Burden (ACB) Scale-listed medication in 2012. Individuals with 4-point major adverse cardiovascular events (4p-MACE) or death before or during the 3-year exposure period were excluded. Exposure across six drug categories (cardiovascular, psychotropic, antihistamine, overactive bladder, gastrointestinal, and theophylline/other) was measured quarterly and analyzed using group-based multi-trajectory modeling. Cox proportional hazards models, adjusted for age, sex, ACB score, cardiovascular risk factors, and multimorbidity frailty index (mFI), estimated hazard ratios for 4p-MACE and all-cause mortality over 9 years, with mFI-stratified subgroup analyses.
Results: Among 55,675 eligible participants (mean age 74.0± 6.4 years; 52.5% female), four subtypes were identified: transient (57.1%) and three persistent subtypes-CV-dominant (14.5%), psychotropic-dominant (16.0%), and theophylline/antihistamine-dominant (12.5%). Relative to transient users, CV-dominant and theophylline/antihistamine-dominant trajectories showed significantly higher 4p-MACE risk (aHR 1.22, 95% CI, 1.16-1.27; aHR 1.08, 95% CI, 1.03-1.13) and all-cause mortality (aHR 1.21, 95% CI, 1.16-1.26; aHR 1.15, 95% CI, 1.11-1.20). The psychotropic-dominant group showed no significant association with 4p-MACE (aHR 0.99, 95% CI, 0.94-1.04) but a significantly higher mortality risk (aHR 1.11, 95% CI, 1.07-1.16). Risks attenuated to non-significance in the severely frail stratum (CV-dominant 4p-MACE: aHR 1.00, 95% CI, 0.81-1.24).
Conclusions: Associations between anticholinergic medications and cardiovascular or mortality outcomes are drug-class specific and frailty-dependent, supporting composition-based rather than purely cumulative risk assessment.
Keywords: anticholinergic burden, multi-trajectory modeling, cardiovascular risk
Biography
Wen-Hsuan Liao is a Master's student at the Institute of Epidemiology and Preventive Medicine, National Taiwan University. She received her PharmD from National Yang Ming Chiao Tung University and subsequently worked as a full-time research assistant. Her research focuses on geriatric pharmacoepidemiology, with interests in applying advanced statistical and machine learning methods to healthcare databases. Her previous work includes the identification of high-risk polypharmacy patterns and the development of fall risk prediction models among older adults. Her current presentation utilizes group-based multi-trajectory modeling to investigate long-term anticholinergic medication-class trajectories and their association with cardiovascular outcomes.