RISK PREDICTION MODELS ON ADVERSE DRUG REACTIONS: A REVIEW

Rizaldy Taslim Pinzon (2023) RISK PREDICTION MODELS ON ADVERSE DRUG REACTIONS: A REVIEW. Journal of Pharmacy Education, 23 (4). pp. 11-15. ISSN 1477-2701

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Abstract

Background: The risk prediction model has become increasingly popular in recent years in helping clinical decision-making. Existing models cannot be directly applied in Indonesia. Objective: To review the existing prediction models and their limitations. Method: A search related to the prediction of ADR risk was conducted using several journal databases: PubMed, Scopus and Google Scholar. Articles were screened to match specified criteria and further studied. Result: Nine articles met the criteria and were then analysed. Studies were carried out in various countries. The study population include; the elderly (>65 years, three studies), age (≥15 years, three studies), patients with Chronic Kidney Disease (CKD) (≥18 years, one study) and two studies in cancer patients. The outcomes were; ADR (five studies), ADE ( two studies), DRPs (one study), and cardiovascular effects (one study). The methods for determining the predictors of ADRs all used multivariable logistic regression. Conclusion: Each country has different treatment patterns, prescribing practices, traditions and drug distribution, so it is necessary to develop a prediction model for ADRs that is country-specific.

Item Type:	Article
Uncontrolled Keywords:	Adverse drug reaction; Model; Prediction; Risk
Subjects:	R Kedokteran. Medis > Kedokteran (Umum)
Divisions:	Fakultas Kedokteran
Depositing User:	Beatrix Stefany
Date Deposited:	17 Sep 2024 02:55
Last Modified:	17 Sep 2024 02:55
URI:	http://katalog.ukdw.ac.id/id/eprint/9257

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