Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis.
J Am Med Inform Assoc
; 18 Suppl 1: i73-80, 2011 Dec.
Article
en En
| MEDLINE
| ID: mdl-21946238
ABSTRACT
BACKGROUND:
Adverse drug events (ADE) cause considerable harm to patients, and consequently their detection is critical for patient safety. The US Food and Drug Administration maintains an adverse event reporting system (AERS) to facilitate the detection of ADE in drugs. Various data mining approaches have been developed that use AERS to detect signals identifying associations between drugs and ADE. The signals must then be monitored further by domain experts, which is a time-consuming task.OBJECTIVE:
To develop a new methodology that combines existing data mining algorithms with chemical information by analysis of molecular fingerprints to enhance initial ADE signals generated from AERS, and to provide a decision support mechanism to facilitate the identification of novel adverse events.RESULTS:
The method achieved a significant improvement in precision in identifying known ADE, and a more than twofold signal enhancement when applied to the ADE rhabdomyolysis. The simplicity of the method assists in highlighting the etiology of the ADE by identifying structurally similar drugs. A set of drugs with strong evidence from both AERS and molecular fingerprint-based modeling is constructed for further analysis.CONCLUSION:
The results demonstrate that the proposed methodology could be used as a pharmacovigilance decision support tool to facilitate ADE detection.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Rabdomiólisis
/
Algoritmos
/
Técnicas de Apoyo para la Decisión
/
Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos
/
Farmacovigilancia
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
J Am Med Inform Assoc
Asunto de la revista:
INFORMATICA MEDICA
Año:
2011
Tipo del documento:
Article
País de afiliación:
Estados Unidos