Search Results (7)

Background/Objectives: This study aimed to comprehensively characterize the prevalence and patterns of drug-induced hospitalizations and death and to identify predictors strongly associated with drug-induced death. Methods: This study analyzed 29,438 serious adverse event (SAE) reports submitted to the Korea Adverse Event Reporting System (KIDS KAERS DB) database between January 2019 and December 2023. Disproportionality analysis was conducted to detect drug–event associations, and multiple logistic regression was performed to identify independent predictors of mortality. Results: Mortality accounted for 7.53% (n = 2217) and hospitalization for 93.53% (n = 27,532). The strong signals for drug-induced death were observed with steroids (ROR 3.81, 95% CI 3.39–4.27), antidotes (ROR 3.65, 95% CI 2.15–6.18), and anticoagulants (ROR 2.01, 95% CI 1.73–2.34). Immunosuppressants (ROR 9.17, 95% CI 4.75–17.70), diuretics (ROR 3.83, 95% CI 1.42–10.31), and antihyperlipidemics (ROR 3.65, 95% CI 1.72–7.69) were strongly associated with hospitalizations. In multivariate regression, men, aging (OR 1.02, 95% CI 1.02–1.03), use of antidotes (OR 11.37, 95% CI 6.59–19.62), steroids (OR 5.78, 95% CI 4.71–7.08), and anticoagulants (OR 3.60, 95% CI 2.90–4.46) were independent predictors of drug-induced mortality. Conclusions: This study emphasizes the need for targeted surveillance and risk-mitigation strategies focusing on anticoagulants, steroids and immunosuppressants, particularly among elderly and multimorbid populations. Full article

Backgrounds/Objectives: This study aims to comprehensively characterize the prevalence and severity of antiepileptic drug (AED)-induced adverse drug events (ADEs) and to identify predictors strongly associated with serious adverse events (SAEs) in both general and geriatric populations. Methods: This cross-sectional study investigated AED-related ADEs reported to the KIDS KAERS DB from January 2014 to December 2023. Disproportionality analysis was performed to detect the association between reported SAEs, and multiple logistic regression was conducted to identify predictors associated with SAEs. Cox’s proportional hazard model was utilized to assess ADE duration in elderly patients aged 60 years and older. Results: More than 50% of 36,809 AED-related ADEs were reported in elderly patients aged 60 years and older, and the prevalence of SAEs was 3.78%. ADEs associated with endocrine disorders had the highest likelihood of SAEs being reported (ROR 15.30), followed by hematological disorders. The predictors associated with elevated SAE risks in the elderly were male sex (OR 1.91; 95% CI 1.62–2.27), aging (OR 1.17; 95% CI 1.04–1.31), and certain AEDs. However, the concomitant administration of acid-suppressive therapy (AST) and opioids was associated with a lower risk of SAEs in the elderly population. Elderly patients not receiving concomitant AST were less likely to experience prolonged ADE duration (HR 0.28, 95% CI 0.07–1.15); however, no substantial differences in ADE duration were observed with the concomitant use of opioids. Conclusions: This study implies significant variability in the frequency, severity, and duration of ADEs depending on the type of AEDs, patient demographics, and concomitant medication use. Full article

Backgrounds and Objectives: This study aims to characterize the prevalence and severity of antidepressant-associated adverse drug events (ADEs) and to identify predictors strongly associated with serious adverse events (SAEs). Materials and Methods: Disproportionality analysis on antidepressant-related ADEs spontaneously reported to the Korea Adverse event Reporting System (KIDS KAERS DB) from 2014 to 2023 was performed. Multiple logistic regression was conducted to identify predictors associated with SAEs. Sensitivity analysis was performed to validate the overall findings and assess the robustness of associations across subgroups defined by completeness of demographic data (age and sex), elderly age-stratification, and causality assessment. The study protocol was approved by the Kyung Hee University institutional review board. Results: Among 21,103 antidepressant-related ADEs, duloxetine was the most etiologic medication, followed by amitriptyline and escitalopram. Fluoxetine is the only agent with a high likelihood of reporting SAEs. ADEs involving vascular (extracardiac) disorders (ROR 42.42, 95% CI 13.19–136.42) and liver and biliary system disorders (ROR 7.84, 95% CI 3.77–16.29) were most likely to be SAEs. The predictors associated with substantial increased SAE risk were fluoxetine use (OR 2.71, 95% CI 1.68–4.39), male sex (OR 1.48, 95% CI 1.11–1.98), and concomitant administration of antiparkinsonian treatment (OR 8.29, 95% CI 3.61–19.06) and antidementia treatment (OR 2.94, 95% CI 1.34–6.05). Sensitivity analyses demonstrated similar and consistent findings. However, reversed trends in the association between SOC-based ADEs and sex were observed in the sensitivity analysis restricted to cases with “certain” and “probable” causality. Conclusions: The type of antidepressant, concomitant medications, and sex are major predictors for SAE risk. Further controlled studies on the impact of comorbidities and polypharmacy on antidepressant-related SAEs are warranted. Full article

(1) Background: The utilization of high-quality evidence regarding the safety of anti-seizure medications (ASMs) is constrained by the absence of standardized reporting. This study aims to examine the safety profile of ASMs using real-world data. (2) Methods: The data were collected from the Korea Adverse Event Reporting System Database (KAERS-DB) between 2012 and 2021. In total, 46,963 adverse drug reaction (ADR)–drug pairs were analyzed. (3) Results: At the system organ class level, the most frequently reported classes for sodium channel blockers (SCBs) were skin (37.9%), neurological (16.7%), and psychiatric disorders (9.7%). For non-SCBs, these were neurological (31.2%), gastrointestinal (22.0%), and psychiatric disorders (18.2%). The most common ADRs induced by SCBs were rash (17.8%), pruritus (8.2%), and dizziness (6.7%). Non-SCBs were associated with dizziness (23.7%), somnolence (13.0%), and nausea (6.3%). Rash, pruritus, and urticaria occurred, on average, two days later with SCBs compared to non-SCBs. Sexual/reproductive disorders were reported at a frequency of 0.23%. SCBs were reported as the cause more frequently than non-SCBs (59.8% vs. 40.2%, Fisher’s exact test, p < 0.0001). (4) Conclusions: Based on real-world data, the safety profiles of ASMs were identified. The ADRs induced by SCBs exhibited different patterns when compared to those induced by non-SCBs. Full article

Background and Objectives: Despite high incidences of cognitive impairment with aging, evidence on the prevalence and the seriousness of drug-induced cognitive impairment is limited. This study aims to evaluate the prevalence and the severity of drug-induced cognitive impairment and to investigate the clinical predictors of increased hospitalization risk from serious drug-induced cognitive impairment. Materials and Methods: Adverse drug events (ADEs) regarding drug-induced cognitive impairment reported to the Korean Adverse Event Reporting System Database (KAERS DB) from January 2012 to December 2021 were included (KIDS KAERS DB 2212A0073). The association between the etiologic classes and the reporting serious adverse events (SAEs) was evaluated using disproportionality analysis, and the effect was estimated with reporting odds ratio (ROR). Clinical predictors associated with increased risk of hospitalization from SAEs were identified via multivariate logistic analysis, and the effect was estimated with odds ratio (OR). Results: The most etiologic medication class for drug-induced cognitive impairment ADEs was analgesics, followed by sedative-hypnotics. Anticancer (ROR 57.105, 95% CI 15.174–214.909) and anti-Parkinson agents (ROR 4.057, 95% CI 1.121–14.688) were more likely to report serious drug-induced cognitive impairments. Male sex (OR 19.540, 95% CI 2.440–156.647) and cancer diagnosis (OR 18.115, 95% CI 3.246–101.101) are the major clinical predictors for increased risk of hospitalizations due to serious drug-induced cognitive impairment. Conclusions: This study highlights the significant prevalence and severity of drug-induced cognitive impairment with cancer diagnosis and anticancer agents. However, further large-scaled studies are required because of the potential underreporting of drug-induced cognitive impairments in real practice settings, which is further contributed to by the complexity of multiple contributing factors such as comorbidities. Full article

This retrospective cross-sectional study aims to investigate the prevalence and seriousness of drug-induced nephrotoxicity and to identify clinical predictors intensifying the seriousness of nephrotoxicity. Adverse drug events (ADEs) reported to the Korean Adverse Event Reporting System Database (KAERS DB) from January 2012 to December 2021 were investigated. The association between the seriousness and the etiologic drug was estimated in reporting odds ratio (ROR) based on disproportionality analysis. Logistic regression was utilized to recognize predictors associated with serious nephrotoxicity. The majority of ADEs were reported in ages 30 to 59, and immunosuppressants were the most etiologic medications. ADEs involving antibiotics, including vancomycin (ROR 0.268; 95% CI 0.129–0.557), were less likely to be serious. More than 93% of cyclosporine-related ADEs were serious nephrotoxicity, whereas tacrolimus was less likely to report serious nephrotoxicity (ROR 0.356; 95% CI 0.187–0.680). The risk of serious nephrotoxicity was decreased with aging (ROR 0.955; 95% CI 0.940–0.972) while increased in women (OR 2.700; 95% CI 1.450–5.008). Polypharmacy was associated with increased risk of interstitial nephritis (OR 1.019; 95% CI 1.001–1.038). However, further studies investigating the impact of clinical practice on ADE incidences as well as clinical prognosis related to nephrotoxicity are obligated. Full article

This study aims to investigate the prevalence and seriousness of drug-induced arrhythmia and to identify predictors associated with the seriousness of arrhythmia. Drug-induced arrhythmia cases reported to the Korean Adverse Event Reporting System Database (KAERS DB) from January 2012 to December 2021 were investigated. A disproportionality test was performed to detect the association of the etiologic medication classes and types, along with patient demographic information, with the seriousness of drug-induced arrhythmia. Logistic regression was performed to investigate the predictors that increase the risk of serious arrhythmia. The most common etiologic agent for drug-induced arrhythmia was sevoflurane, whereas serious arrhythmia was most prevalent with narcotics. Antibiotics (reporting odds ratio (ROR) 4.125; 95% CI 1.438–11.835), chemotherapy (ROR 6.994; 95% CI 2.239–21.542), and iodinated contrast media (ROR 8.273; 95% CI 3.062–22.352) had a strong association with the seriousness of drug-induced arrhythmia. Among numerous etiologic agents, ioversol (ROR 16.490; 95% CI 3.589–75.772) and lidocaine (ROR 12.347; 95% CI 2.996–50.884) were more likely to be reported with serious arrhythmia. Aging and comorbidity, primarily cancer, are the most contributing predictors associated with serious arrhythmia. Further studies on the clinical significance of patient-specific predictors for the increased risk of serious drug-induced arrhythmia are warranted to promote drug safety. Full article