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Original Article

의약품이상사례보고시스템 데이터베이스를 활용한 비스테로이드성 소염진통제 계열 간 약물이상반응 비교 분석

원문정보

Disproportionality Analysis of Adverse Drug Reactions across NSAID Classes Using the KAERS Database

천영주, 예경남, 안숙희

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Background: Nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly used to manage pain and inflammation but are associated with adverse events (AEs) across various organ systems. However, organ-specific AE profiles among different NSAID classes remain underexplored. This study aimed to compare AE patterns across NSAID classes using national pharmacovigilance data. Methods: A total of 54,251 NSAID-related AE reports from 2017 to 2021 were extracted from the Korea Adverse Event Reporting System (KAERS). NSAIDs were classified into six groups: propionic acids, acetic acids, oxicams, fenamic acids, COX-2 inhibitors, and salicylic acids. AEs were categorized into nine System Organ Classes (SOCs) based on Medical Dictionary for Regulatory Activities (MedDRA) terminology. Disproportionality analysis was performed using Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR) to identify class-specific AE signals. Results: The most frequently reported SOCs were skin disorders (30.1%) and gastrointestinal events (24.0%). Salicylic acids showed the highest disproportionality for musculoskeletal and connective tissue disorders [ROR (95% CI)=4.18 (3.56-4.90); PRR (95% CI)=4.11 (3.51-4.81)]. Fenamic acids were notably associated with skin-related AEs [ROR (95% CI)=1.86 (1.69-2.04); PRR (95% CI)=1.47 (1.40-1.55)], while COX-2 inhibitors were linked to endocrine [ROR (95% CI)=1.91 (1.47-2.47); PRR (95% CI=1.90 (1.47-2.46)] and genitourinary disorders [ROR (95% CI)=1.92 (1.59-2.31); PRR (95% CI)=1.90 (1.58-2.28)]. Conclusion: NSAID classes demonstrate distinct AE disproportionality patterns, suggesting class-specific organ susceptibilities. These findings emphasize the need for personalized NSAID selection and further research into predictive safety models.

목차

ABSTRACT
방법
연구설계
데이터 전처리
보고분율비와 보고오즈비 산출
결과
NSAIDs 이상사례 분포
NSAIDs 이상사례 보고불균형
고찰
결론
이해 상충
References

저자정보

  • 천영주 Young Ju Cheon. 원스글로벌
  • 예경남 Kyong Nam Ye. 강동경희대학교병원 약제실
  • 안숙희 Sook Hee An. 원광대학교 약학대학

참고문헌

자료제공 : 네이버학술정보

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