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Drug-drug interactions and their predictors: Results from Indian elderly inpatients
BACKGROUND: In view of the multiple co-morbidities, the elderly patients receiving drugs are prone to suffer with drug interactions since they receive a greater number of drugs. OBJECTIVE: The study was undertaken to determine the prevalence of drug interactions, as well as their predictors. METHODS...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centro de Investigaciones y Publicaciones
Farmaceuticas
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869634/ https://www.ncbi.nlm.nih.gov/pubmed/24367458 |
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author | Kashyap, Mandavi D’Cruz, Sanjay Sachdev, Atul Tiwari, Pramil |
author_facet | Kashyap, Mandavi D’Cruz, Sanjay Sachdev, Atul Tiwari, Pramil |
author_sort | Kashyap, Mandavi |
collection | PubMed |
description | BACKGROUND: In view of the multiple co-morbidities, the elderly patients receiving drugs are prone to suffer with drug interactions since they receive a greater number of drugs. OBJECTIVE: The study was undertaken to determine the prevalence of drug interactions, as well as their predictors. METHODS: The prescriptions of a total of 1510 inpatients were collected prospectively for 1.5 years from inpatients wards of public tertiary care teaching hospital. All the prescriptions were checked for drug interactions using the Micromedex® Drug-Reax database-2010 and Stockley’s Drug Interactions. Regression analyses sought to determine predictors for the drug interaction. RESULTS: The patients, with the average age of 67.2 ±0.2 years, were prescribed an average of 9.15 ±0.03 medications. It was found that out of 1510 prescriptions of inpatients, 126 (8.3%) prescriptions had one or more than one drug interaction. All the identified interactions were severe in nature. The top most interacting drugs were acetylsalicylic acid and anticoagulant (n=59). The second top most interacting drug combination was clopidogrel and proton pump inhibitors (n=51). The most commonly involved drugs in interactions were C (cardiovascular system) and A (alimentary tract and metabolism). Using multivariate binary logistic regression, multiple drugs (Odds Ratio=4.5; 95% Confidence Interval: - 2.38 -9.47) and multiple diagnoses (Odds Ratio=2.6; 95%CI: -1.40 -5.57) were found to be significant predictors for drug interaction. CONCLUSIONS: The results of this study substantiate the occurrence of severe drug interactions among Indian elderly inpatients. In order to provide safer pharmaceutical care, the active involvement of clinical pharmacists is a potential option. |
format | Online Article Text |
id | pubmed-3869634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Centro de Investigaciones y Publicaciones
Farmaceuticas |
record_format | MEDLINE/PubMed |
spelling | pubmed-38696342013-12-23 Drug-drug interactions and their predictors: Results from Indian elderly inpatients Kashyap, Mandavi D’Cruz, Sanjay Sachdev, Atul Tiwari, Pramil Pharm Pract (Granada) Original Research BACKGROUND: In view of the multiple co-morbidities, the elderly patients receiving drugs are prone to suffer with drug interactions since they receive a greater number of drugs. OBJECTIVE: The study was undertaken to determine the prevalence of drug interactions, as well as their predictors. METHODS: The prescriptions of a total of 1510 inpatients were collected prospectively for 1.5 years from inpatients wards of public tertiary care teaching hospital. All the prescriptions were checked for drug interactions using the Micromedex® Drug-Reax database-2010 and Stockley’s Drug Interactions. Regression analyses sought to determine predictors for the drug interaction. RESULTS: The patients, with the average age of 67.2 ±0.2 years, were prescribed an average of 9.15 ±0.03 medications. It was found that out of 1510 prescriptions of inpatients, 126 (8.3%) prescriptions had one or more than one drug interaction. All the identified interactions were severe in nature. The top most interacting drugs were acetylsalicylic acid and anticoagulant (n=59). The second top most interacting drug combination was clopidogrel and proton pump inhibitors (n=51). The most commonly involved drugs in interactions were C (cardiovascular system) and A (alimentary tract and metabolism). Using multivariate binary logistic regression, multiple drugs (Odds Ratio=4.5; 95% Confidence Interval: - 2.38 -9.47) and multiple diagnoses (Odds Ratio=2.6; 95%CI: -1.40 -5.57) were found to be significant predictors for drug interaction. CONCLUSIONS: The results of this study substantiate the occurrence of severe drug interactions among Indian elderly inpatients. In order to provide safer pharmaceutical care, the active involvement of clinical pharmacists is a potential option. Centro de Investigaciones y Publicaciones Farmaceuticas 2013 2013-12-20 /pmc/articles/PMC3869634/ /pubmed/24367458 Text en Copyright © 2013, CIPF http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY-NC-ND 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Kashyap, Mandavi D’Cruz, Sanjay Sachdev, Atul Tiwari, Pramil Drug-drug interactions and their predictors: Results from Indian elderly inpatients |
title | Drug-drug interactions and their predictors: Results from Indian
elderly inpatients |
title_full | Drug-drug interactions and their predictors: Results from Indian
elderly inpatients |
title_fullStr | Drug-drug interactions and their predictors: Results from Indian
elderly inpatients |
title_full_unstemmed | Drug-drug interactions and their predictors: Results from Indian
elderly inpatients |
title_short | Drug-drug interactions and their predictors: Results from Indian
elderly inpatients |
title_sort | drug-drug interactions and their predictors: results from indian
elderly inpatients |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869634/ https://www.ncbi.nlm.nih.gov/pubmed/24367458 |
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