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临床试验/NCT04293432
NCT04293432已完成不适用

A Pharmacovigilance Study of Torsade de Pointes in the Food and Drug Administration Adverse Event Reporting System Using Data Mining Algorithms

University of Peshawar1 个研究点 分布在 1 个国家目标入组 6,670 人开始时间: 2019年5月15日最近更新:
适应症
干预措施
相关药物

试验速览

阶段
不适用
状态
已完成
入组人数
6,670
试验地点
1
主要终点
Identification of drugs associated with TdP

研究概览

简要总结

Many cardiac and non-cardiac drugs are associated with TdP that may constitute a significant problem because of sudden cardiac death. This study aims to present a comprehensive overview and disproportionality analysis of TdP cases reported to the Food and Drug Administration Adverse Event Reporting System (FAERS) in order to identify new signals of TdP.

详细描述

Drug-induced Torsade de Pointes (TdP) is a serious but an overlooked adverse drug reaction because a wide range of marketed drugs associated with TdP are commonly prescribed in routine practice. Owing to the heightened concern of a vast number of drug-TdP associations including newly approved drugs, the investigators, therefore, aims to investigate drug-TdP associations by performing disproportionality analysis in order to identify new signals of TdP utilizing the individual case reports of TdP in the FAERS database.

研究设计

研究类型
Observational
观察模型
Case Only
时间视角
Cross Sectional

入排标准

性别
All
接受健康志愿者

入选标准

  • TdP cases reported in the FAERS database till 31/03/2019
  • Adverse event reported was including the MedDRA term: Torsade de Pointes

排除标准

  • Drugs with less than 10 TdP reports

研究组 & 干预措施

Group/Cohort

Torsade de Pointes induced by drugs reported to the FAERS database from inception till first quarter of 2019 (1990-2019)

干预措施: Drugs, Generic (Drug)

结局指标

主要结局

Identification of drugs associated with TdP

时间窗: Cases reported to the FAERS database till 31/03/2019

The search includes MedDRA (v-22) Preferred Term, "Torsade de Pointes (MedDRA code: 10044066) for the identification of all TdP case reports and drugs.

Identification of new signals of TdP

时间窗: Cases reported to the FAERS database till 31/03/2019

Signal detection using disproportionality analysis

次要结局

  • Validation of already known drug-TdP associations(Cases reported to the FAERS database till 31/03/2019)
  • Description of the population of patients having TdP(Cases reported to the FAERS database till 31/03/2019)
  • Stratification of new signals with respect to age(Cases reported to the FAERS database till 31/03/2019)
  • Stratification of new signals with respect to gender(Cases reported to the FAERS database till 31/03/2019)
  • Trends of TdP reports in FAERS database(Cases reported to the FAERS database till 31/03/2019)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Mohammad Ismail

Assistant Professor, Department of Pharmacy

University of Peshawar

研究点 (1)

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