Service de Dermatologie, AP-HP, Hôpital Henri Mondor, Créteil, France.
EpiDermE, Univ Paris Est Créteil, Créteil, France.
Pharmacoepidemiol Drug Saf. 2022 Apr;31(4):434-441. doi: 10.1002/pds.5399. Epub 2021 Dec 28.
Possible biases in pharmacovigilance reporting may impact epidermal necrolysis (EN) and drugs associations.
To assess biases associated with EN-reporting.
Using VigiBase, the World Health Organization-pharmacovigilance database, among drugs associated with EN between 2016 and 2020, we used an unsupervised clustering including reports characteristics, that is, reporter quality, time from drug intake to EN onset, and only one suspected drug in the report.
Among 152 drugs, three clusters were identified. Cluster 1 (n = 41) exhibited drugs frequently reported within a time from intake to onset longer than 4 days, in 57 ± 13% of reports. It corresponded to well-reported drugs and was composed mainly of antivirals and antiepileptics. Cluster 2 (n = 42) exhibited drugs frequently reported within a time from drug intake to onset shorter than 4 days, in 31 ± 12% of reports. It corresponded to drugs with a high risk of protopathic bias and was composed of nonsteroidal anti-inflammatory drugs (NSAIDs), analgesics, and antibiotics. Cluster 3 (n = 69) exhibited drugs frequently reported with an unavailable time from drug intake to reaction, in 66 ± 11% of reports, and reported by a high frequency of consumers (9 ± 9%). It corresponded to drugs reported with a high risk of classification bias, and was composed of anticancer therapies and cardiovascular drugs.
Protopathic and classification biases impact EN-reporting and should be considered regarding associations with antibiotics, NSAIDs, analgesics, anticancer therapies, and cardiovascular drugs.
药物警戒报告中可能存在的偏倚会影响表皮坏死松解症(EN)和药物关联性。
评估与 EN 报告相关的偏倚。
利用世界卫生组织药物警戒数据库 VigiBase,在 2016 年至 2020 年间与 EN 相关的药物中,我们使用无监督聚类方法,包括报告特征,即报告人的质量、从药物摄入到 EN 发作的时间以及报告中仅有一种可疑药物。
在 152 种药物中,确定了三个聚类。聚类 1(n=41)显示出药物在摄入后到发作的时间超过 4 天的报告频率较高,占 57±13%。这与报告质量较好的药物相对应,主要由抗病毒药和抗癫痫药组成。聚类 2(n=42)显示出药物在摄入后到发作的时间较短,不到 4 天的报告频率较高,占 31±12%。这与具有高原型偏倚风险的药物相对应,主要由非甾体抗炎药(NSAIDs)、镇痛药和抗生素组成。聚类 3(n=69)显示出药物在摄入后到反应的时间不可用的报告频率较高,占 66±11%,且由高频率的消费者(9±9%)报告。这与具有高分类偏倚风险的药物相对应,主要由癌症治疗药物和心血管药物组成。
原型和分类偏倚影响 EN 报告,在评估与抗生素、NSAIDs、镇痛药、癌症治疗药物和心血管药物的关联性时应予以考虑。