title: [Estimation of adverse drug reactions by the evaluation scores of subjective symptoms (complaints) and background of patients. III. Drug-induced leucopenia].
abstract: OBJECTIVE
  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 carried out this study focusing on drug-induced leucopenia.
  
  
  METHODS
  We have built a database for CARPIS (Case Reports of Adverse Drug Reaction and Poisoning Information System) since 1987, and the total number of case reports of adverse drug reaction accumulated in the CARPIS database amounts to about 16,000. Using the date obtained from 139 cases of drug-induced leucopenia accumulated in the CARPIS database, we investigated a relationship between leucopenia and patients. The evaluation scores were created based on the subjective symptoms and backgrounds of the patients.
  
  
  RESULTS
  We could estimate 91 cases (65.5%) in 139 cases to be drug-induced leucopenia by the use of these evaluation scores. The validity of this evaluation scores was estimated to be as follows; sensitivity = 65.5%, specificity = 80.0% and predictive value of positive test (PVP) = 82.0%. The positive likelihood (LR) ratio was 3.3 and negative likelihood ratio 0.43.
  
  
  CONCLUSIONS
  In this study, PVP and LR values were not good, because among the symptoms of leucopenia a very few specific symptoms could be detected. But we reported previous by the evaluation scores about drug-induced liver disorders. Therefore, in order to apply these evaluation scores to the clinical practice, we prepared an evaluation form for subjective symptoms and backgrounds of the patients with adverse drug reactions. In the future, we plan to examine other adverse reactions which adds the data to this form.
authors.affiliation: Pharmaceutical Information Center, Faculty of Pharmacy, Meijo University, Nagoya, Japan.
authors.forename: F
authors.initials: F
authors.lastname: Ohtsu
authors.forename: R
authors.initials: R
authors.lastname: Yano
authors.forename: K
authors.initials: K
authors.lastname: Inagaki
authors.forename: J
authors.initials: J
authors.lastname: Sakakibara
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems; D016208:Databases, Factual; D019937:Diagnostic Techniques and Procedures; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D007970:Leukopenia / Q000139:chemically induced* / Q000175:diagnosis* / Q000517:prevention & control; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity