Drugs associated with systemic sclerosis: An updated list of suspected drugs using the WHO pharmacovigilance database.


Journal

Autoimmunity reviews
ISSN: 1873-0183
Titre abrégé: Autoimmun Rev
Pays: Netherlands
ID NLM: 101128967

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 08 07 2022
accepted: 21 07 2022
pubmed: 29 7 2022
medline: 18 8 2022
entrez: 28 7 2022
Statut: ppublish

Résumé

The pathophysiological mechanisms involved in systemic sclerosis (SSc), especially the triggering factor, are poorly understood. The literature supporting the role of drugs in the onset of SSc primarily relies on case reports, short series or previous studies of old drugs. We aimed to update the list of suspected drugs associated with SSc (DASSc). Analyzing the World Health Organization (WHO) pharmacovigilance database (Vigibase®), we collected all individual case safety reports (ICSRs) of drugs putatively associated with SSc reported since 1967 using the Medical Dictionary for Regulatory Activities preferred terms "systemic sclerosis" and "scleroderma". For each drug, a disproportionality analysis was performed by calculating the information component (IC). An identified drug was considered significant if the IC A total of 2800 deduplicated ICSRs of DASSc were identified, accounting for 509 ICSRs and 38 suspected DASSc after exclusion of protopathic and indication biases. Anticancer drugs were the most represented drug class, accounting for 16/38 (42%) of DASSc and 317/509 (62.3%) of ICSRs, which occurred mostly in the first years after the introduction of the drugs. Among these, taxane-based agents, bleomycin, vinblastine, imatinib, dacarbazine, pembrolizumab and pemetrexed were associated with the highest disproportionate reporting. Hormone replacement therapy, romiplostim and eculizumab were associated with a significant signal. DASSc was considered a serious adverse drug reaction in 404 (92%, n = 441) cases with 41 (9%) cases resulting in death. Several new drugs with significant disproportionality signals were identified as potential drugs implicated the development of SSc, particularly anticancer drugs.

Identifiants

pubmed: 35902047
pii: S1568-9972(22)00127-6
doi: 10.1016/j.autrev.2022.103157
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103157

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Anaël Dumont (A)

Department of Internal Medicine, Caen University Hospital, Avenue de la Côte de Nacre, 14000 Caen, France; Normandie Univ, UNICAEN, UR4650 PSIR, CHU de Caen Normandie, 14000 Caen, France. Electronic address: dumont-an@chu-caen.fr.

Charles Dolladille (C)

Department of Pharmacology, CHU de Caen Normandie, 14000 Caen, France; Caen University-Normandy, UNICAEN, INSERM U1086 ANTICIPE, Avenue du Général Harris, CHU de Caen-Normandie, Caen F-14000, France.

Hubert de Boysson (H)

Department of Internal Medicine, Caen University Hospital, Avenue de la Côte de Nacre, 14000 Caen, France; Normandie Univ, UNICAEN, UR4650 PSIR, CHU de Caen Normandie, 14000 Caen, France.

Joachim Alexandre (J)

Department of Pharmacology, CHU de Caen Normandie, 14000 Caen, France; Caen University-Normandy, UNICAEN, INSERM U1086 ANTICIPE, Avenue du Général Harris, CHU de Caen-Normandie, Caen F-14000, France.

Alexandre Nguyen (A)

Department of Internal Medicine, Caen University Hospital, Avenue de la Côte de Nacre, 14000 Caen, France; Normandie Univ, UNICAEN, UR4650 PSIR, CHU de Caen Normandie, 14000 Caen, France.

Samuel Deshayes (S)

Department of Internal Medicine, Caen University Hospital, Avenue de la Côte de Nacre, 14000 Caen, France; Normandie Univ, UNICAEN, UR4650 PSIR, CHU de Caen Normandie, 14000 Caen, France.

Achille Aouba (A)

Department of Internal Medicine, Caen University Hospital, Avenue de la Côte de Nacre, 14000 Caen, France; Normandie Univ, UNICAEN, UR4650 PSIR, CHU de Caen Normandie, 14000 Caen, France.

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Classifications MeSH