[Estimation of adverse drug reactions by the evaluation scores of subjective symptoms (complaints) and background of patients. II. Drug-induced extrapyramidal symptoms]

Yakugaku Zasshi. 2000 Jan;120(1):120-31. doi: 10.1248/yakushi1947.120.1_120.
[Article in Japanese]

Abstract

Objectives: The purpose of this study was to develop, implement, and assess an estimation procedure for preventing adverse drug reaction by subjective symptoms (complaints) of patients. This time, we focused and studied on drug-induced extrapyramidal symptoms.

Methods: We have built a database for CARPIS (Case Reports of Adverse Drug Reaction and Poisoning Information Systems) since 1987, and the case reports of adverse drug reaction accumulated in the CARPIS database to be total about 16,000. We studied for 180 cases of drug-induced extrapyramidal symptoms cumulated in CARPIS database. The evaluation scores were created based on the subjective symptoms and backgrounds of the patients. We estimated 180 cases using these evaluation scores.

Results: We could estimate 178 cases (98.9%) in 180 cases to be drug-induced extrapyramidal symptoms using these evaluation scores. The validity of these evaluation scores were sensitivity = 98.9%, specificity = 98.0% and predictive value of positive test = 98.9%. The positive likelihood ratio was 49.5 and the negative likelihood ratio was 0.01.

Conclusions: This study confirmed the validity of our evaluation scores. We reported the evaluation scores about drug-induced liver diseases before. Therefore, to apply these evaluation scores onto the clinical practice, we prepared an evaluation form for subjective symptoms and backgrounds of the patients with adverse drug reactions.

Publication types

  • Clinical Trial
  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adverse Drug Reaction Reporting Systems*
  • Basal Ganglia Diseases / chemically induced*
  • Basal Ganglia Diseases / diagnosis*
  • Basal Ganglia Diseases / epidemiology
  • Databases, Factual
  • Humans
  • Japan / epidemiology
  • Reproducibility of Results