Literature DB >> 24209715

Potential drug-drug interactions in pediatric outpatient prescriptions for newborns and infants.

Min-Li Yeh1, Ying-Jui Chang, Shu-Jen Yeh, Li-Jung Huang, Yung-Tai Yen, Po-Yen Wang, Yu-Chuan Li, Chien-Yeh Hsu.   

Abstract

OBJECTIVES: To surveyed the quantities, types, and related information of potential drug-drug interactions (DDIs) and estimate the off-label use percentage of pediatric outpatient prescriptions for newborns and infants from the National Health Insurance Research Database (NHIRD) of Taiwan.
BACKGROUND: Adverse drug reactions (ADR) may cause morbidity and mortality, potential drug-drug interactions (DDI) increase the probability of ADR. Research on ADR and DDI in infants is of particular urgency and importance but the related profiles in these individuals are not well known.
METHODS: All prescriptions written by physicians in 2000 were analyzed to identify potential DDIs among drugs appearing on the same prescription sheet.
RESULTS: Of a total of 150.6 million prescription sheets, with 669.5 million prescriptions registered in the NHIRD of Taiwan, six million (3.99%) prescription sheets were for 2.1 million infants with 19.4 million (2.85%) prescriptions. There were 672,020 potential DDIs in this category, accounting for 3.53% per prescription; an estimated one DDI in every three patients. The interactions between aspirin and aluminum/magnesium hydroxide were most common (4.42%). Of the most significant drug-drug interactions, the interaction of digoxin with furosemide ranked first (20.14%), followed by the interactions of cisapride with furosemide and erythromycin (6.02% and 4.85%, respectively). The interactions of acetaminophen and anti-cholinergic agents comprised most types of drug-drug interactions (6.62%).
CONCLUSION: Although the prevalence rates of DDIs are low, life-threatening interactions may develop. Physicians must be reminded of the potential DDIs when prescribing medications for newborns and infants.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adverse drug reactions; Drug–drug interactions; Information technology; National Health Insurance; Patient safety

Mesh:

Year:  2013        PMID: 24209715     DOI: 10.1016/j.cmpb.2013.07.016

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  4 in total

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Authors:  Olga Morales-Ríos; Luis Jasso-Gutiérrez; Alfonso Reyes-López; Juan Garduño-Espinosa; Onofre Muñoz-Hernández
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

2.  Novel Method for Early Prediction of Clinically Significant Drug-Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU.

Authors:  Nadir Yalçın; Merve Kaşıkcı; Hasan Tolga Çelik; Karel Allegaert; Kutay Demirkan; Şule Yiğit; Murat Yurdakök
Journal:  J Clin Med       Date:  2022-08-12       Impact factor: 4.964

Review 3.  Pediatric Drug-Drug Interaction Evaluation: Drug, Patient Population, and Methodological Considerations.

Authors:  Daniel Gonzalez; Jaydeep Sinha
Journal:  J Clin Pharmacol       Date:  2021-06       Impact factor: 2.860

4.  For dentists and doctors: The neglected concepts about the factors influencing the effects of drugs.

Authors:  Abdelaziz Ghanemi
Journal:  Saudi Dent J       Date:  2015-05-27
  4 in total

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