Hutchinson T A, Leventhal J M, Kramer M S, Karch F E, Lipman A G, Feinstein A R
JAMA. 1979 Aug 17;242(7):633-8.
The reproducibility and validity of an algorithm for diagnosis of adverse drug reactions (ADRs) were tested in a clinical spectrum of 30 suspect cases. Using a questionnaire derived from the algorithm the three algorithm developers (nonexperts) agreed on the probability of ADR in 67% of cases, with pair-wise agreement varying from 73% to 87%. The pair-wise agreement of two clinical pharmacologic experts rose from 47% without the algorithm to 63% with the algorithm, with Kw, a chance-corrected index of weighted agreement, increasing from 0.26 to 0.57. The algorithmic assessments of the three nonexperts agreed with expert consensus in 80% to 83% of cases. The ADR algorithm appears to provide a reproducible and valid method of evaluating the likelihood of ADRs in individual patients. Its use can help improve the diagnostic and epidemiologic approach to these important, complex clinical phenomena.
在30例疑似病例的临床范围内,对一种药物不良反应(ADR)诊断算法的可重复性和有效性进行了测试。使用从该算法得出的问卷,三位算法开发者(非专家)在67%的病例中对ADR的可能性达成了一致,两两之间的一致性从73%到87%不等。两位临床药理专家的两两一致性从没有该算法时的47%提高到有该算法时的63%,Kappa值(Kw),一种加权一致性的机会校正指数,从0.26增加到0.57。三位非专家的算法评估在80%至83%的病例中与专家共识一致。ADR算法似乎提供了一种可重复且有效的方法来评估个体患者发生ADR的可能性。其应用有助于改进对这些重要、复杂临床现象的诊断和流行病学方法。