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世界卫生组织药物不良反应因果关系评估量表与纳伦霍算法在药物不良反应因果关系评估方面的一致性。

Agreement between WHO-UMC causality scale and the Naranjo algorithm for causality assessment of adverse drug reactions.

作者信息

Shukla Ajay K, Jhaj Ratinder, Misra Saurav, Ahmed Shah N, Nanda Malaya, Chaudhary Deepa

机构信息

Department of Pharmacology, AIIMS Bhopal, Madhya Pradesh, India.

Department of Pharmacology, College of Medicine and JNM Hospital, Kalyani, West Bengal, India.

出版信息

J Family Med Prim Care. 2021 Sep;10(9):3303-3308. doi: 10.4103/jfmpc.jfmpc_831_21. Epub 2021 Sep 30.

Abstract

BACKGROUND

The Pharmacovigilance Program of India recommends the use of the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) scale, while many clinicians prefer the Naranjo algorithm for its simplicity. In the present study, we assessed agreement between the two widely used causality assessment scales, that is, the WHO-UMC criteria and the Naranjo algorithm.

MATERIALS AND METHODS

In this study, 842 individual case safety reports were randomly selected from 1000 spontaneously reported forms submitted to the ADR Monitoring Center at a tertiary healthcare Institute in Central India between 2016 and 2018. Two well-trained independent groups performed the causality assessment. One group performed a causality assessment of the 842 ADRs using the WHO-UMC criteria and the other group performed the same using the Naranjo algorithm. The agreement between two ADR causality scales was assessed using the weighted kappa (κ) test.

RESULTS

Cohen's kappa coefficient (κ) statistical test was applied between the two scales (WHO-UMC scale and Naranjo algorithm) to find out the agreement between these two scales. "No" agreement was found between the two scales {Kappa statistic with 95% confidence interval = 0.048 ( < 0.001)}.

CONCLUSION

There was no agreement found between the WHO-UMC criteria and the Naranjo algorithm in our study.

摘要

背景

印度药物警戒计划推荐使用世界卫生组织-乌普萨拉监测中心(WHO-UMC)量表,而许多临床医生因其简单性更喜欢使用纳朗霍算法。在本研究中,我们评估了两种广泛使用的因果关系评估量表,即WHO-UMC标准和纳朗霍算法之间的一致性。

材料与方法

在本研究中,从2016年至2018年提交给印度中部一家三级医疗机构的药品不良反应监测中心的1000份自发报告表中随机选取842份个体病例安全报告。两个训练有素的独立小组进行因果关系评估。一组使用WHO-UMC标准对842例药品不良反应进行因果关系评估,另一组使用纳朗霍算法进行同样的评估。使用加权kappa(κ)检验评估两种药品不良反应因果关系量表之间的一致性。

结果

在两个量表(WHO-UMC量表和纳朗霍算法)之间应用了科恩kappa系数(κ)统计检验,以找出这两个量表之间的一致性。在两个量表之间未发现“一致性”{kappa统计量,95%置信区间 = 0.048(<0.001)}。

结论

在我们的研究中,WHO-UMC标准和纳朗霍算法之间未发现一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f411/8565125/0287144f229b/JFMPC-10-3303-g001.jpg

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