Son Young-Min, Lee Jong-Rok, Roh Joo-Young
Department of Dermatology, Gachon University of Medicine and Science, Gil Hospital, Incheon, Korea.
Ann Dermatol. 2011 Nov;23(4):432-8. doi: 10.5021/ad.2011.23.4.432. Epub 2011 Nov 3.
Cutaneous adverse drug reactions (ADRs) are the most common adverse reactions attributed to drugs. A systematic and effective approach to a patient with suspected drug eruption allows for prompt recognition, classification and treatment of cutaneous ADRs. A standardized and effective approach for objective causality assessment is necessary to make consistent and accurate identification of ADRs.
Although the Naranjo algorithm is the most widely used assessment tool, it contains many components which are not suitable for clinical assessment of ADRs in Korea. The purpose of this study is to compare correlations of the Naranjo algorithm and the Korean algorithm to evaluate usefulness of both algorithms in order to make a causal link between drugs and cutaneous ADRs. In addition, this study classifies the clinical types and causative agents of cutaneous ADRs.
The authors retrospectively reviewed the clinical types and laboratory findings of patients who were diagnosed with cutaneous ADRs in the dermatology clinic at Gil hospital. One hundred forty-one patients were enrolled in this evaluation. The causal relationship of ADRs was assessed by using the Naranjo algorithm and Korean algorithm (version 2.0).
A cross-tabulation analysis was applied to the Naranjo algorithm and Korean algorithm (version 2.0). Simple correlation analysis and a Bland-Altman plot were used for statistical analysis. Correlation analysis confirmed that the two assessment algorithms were significantly correlated. Exanthematous eruptions (68.8%), Stevens- Johnson syndrome (10.6%), and urticaria (8.5%) were the most common types of cutaneoues ADRs. The most common causative agents were antibiotics/antimicrobials, antipyretics/non-steroidal anti-inflammatory drugs, and central nervous system depressants.
The Naranjo algorithm and Korean algorithm (version 2.0) were significantly correlated with each other, and thus reliable assessment methods to determine cutaneous ADRs.
皮肤药物不良反应(ADR)是药物所致最常见的不良反应。对于疑似药疹患者,采用系统有效的方法可实现对皮肤ADR的快速识别、分类及治疗。客观因果关系评估需要标准化且有效的方法,以实现对ADR的一致且准确的识别。
尽管纳伦霍算法是应用最广泛的评估工具,但它包含许多不适用于韩国ADR临床评估的成分。本研究旨在比较纳伦霍算法与韩国算法的相关性,以评估两种算法在确定药物与皮肤ADR因果关系方面的效用。此外,本研究还对皮肤ADR的临床类型和致病药物进行分类。
作者回顾性分析了吉尔医院皮肤科门诊诊断为皮肤ADR患者的临床类型和实验室检查结果。141例患者纳入本评估。采用纳伦霍算法和韩国算法(2.0版)评估ADR的因果关系。
对纳伦霍算法和韩国算法(2.0版)进行交叉列表分析。采用简单相关分析和布兰德-奥特曼图进行统计分析。相关分析证实两种评估算法显著相关。发疹性皮疹(68.8%)、史蒂文斯-约翰逊综合征(10.6%)和荨麻疹(8.5%)是最常见的皮肤ADR类型。最常见的致病药物是抗生素/抗菌药物、退热药/非甾体抗炎药和中枢神经系统抑制剂。
纳伦霍算法和韩国算法(2.0版)相互之间显著相关,因此是确定皮肤ADR的可靠评估方法。