Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreement

Context: Patients in intensive care units have a high risk of experiencing a pharmacological interaction due to complex pharmacotherapy, severe disease, and comorbidities; increasing the risk of adverse effects of medications. Electronic databases are useful sources to identify drug-drug interaction...

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Main Authors: Eduardo A. Ziehl, Pia M. Córdova, Pola B. Fernández, Felipe E. Morales, Lorenzo A. Villa
Format: Article
Language:English
Published: GarVal Editorial Ltda. 2019-05-01
Series:Journal of Pharmacy & Pharmacognosy Research
Subjects:
Online Access:http://jppres.com/jppres/pdf/vol7/jppres18.483_7.3.184.pdf
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author Eduardo A. Ziehl
Pia M. Córdova
Pola B. Fernández
Felipe E. Morales
Lorenzo A. Villa
author_facet Eduardo A. Ziehl
Pia M. Córdova
Pola B. Fernández
Felipe E. Morales
Lorenzo A. Villa
author_sort Eduardo A. Ziehl
collection DOAJ
description Context: Patients in intensive care units have a high risk of experiencing a pharmacological interaction due to complex pharmacotherapy, severe disease, and comorbidities; increasing the risk of adverse effects of medications. Electronic databases are useful sources to identify drug-drug interactions (DDI), especially when new therapeutic alternatives are added to conventional treatments. Aim: To identify the frequency and severity of potential drug-drug interactions (pDDIs) in ICU patients using three electronic databases. Methods: Clinical pharmacists collected data on medication dosage and route of administration, sex, age, length of stay, comorbidities, and APACHE II score using patient records. Micromedex, Medscape, and Lexicomp databases were used to identify and categorize pDDIs. Intensivists confirmed if a pDDI was clinically present. kappa concordance test was utilized as a measure of agreement among databases. Results: Of the 93 ICU patients studied, pDDIs were identified in 89. A positive incremental relationship was found between number of medications, length of stay, and number of pDDIs. Patients with respiratory pathologies were most predisposed to presenting DDIs. Agreement among databases was mixed. Intensivists confirmed 5% of pDDIs. Conclusions: Discrepancies among databases and in intensivist judgment highlight a significant information gap in the identification of DDIs.
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spelling doaj.art-aacf99852d0c47328bed4871925dbdab2022-12-21T23:15:03ZengGarVal Editorial Ltda.Journal of Pharmacy & Pharmacognosy Research0719-42502019-05-0173184192Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreementEduardo A. Ziehl0Pia M. Córdova1Pola B. Fernández2Felipe E. Morales3Lorenzo A. Villa4Departamento de Farmacia, Facultad de Farmacia, Universidad de Concepción, Chile.Departamento de Farmacia, Facultad de Farmacia, Universidad de Concepción, Chile.Departamento de Farmacia, Facultad de Farmacia, Universidad de Concepción, Chile.Departamento de Farmacia, Facultad de Farmacia, Universidad de Concepción, Chile.Departamento de Farmacia, Facultad de Farmacia, Universidad de Concepción, Chile.Context: Patients in intensive care units have a high risk of experiencing a pharmacological interaction due to complex pharmacotherapy, severe disease, and comorbidities; increasing the risk of adverse effects of medications. Electronic databases are useful sources to identify drug-drug interactions (DDI), especially when new therapeutic alternatives are added to conventional treatments. Aim: To identify the frequency and severity of potential drug-drug interactions (pDDIs) in ICU patients using three electronic databases. Methods: Clinical pharmacists collected data on medication dosage and route of administration, sex, age, length of stay, comorbidities, and APACHE II score using patient records. Micromedex, Medscape, and Lexicomp databases were used to identify and categorize pDDIs. Intensivists confirmed if a pDDI was clinically present. kappa concordance test was utilized as a measure of agreement among databases. Results: Of the 93 ICU patients studied, pDDIs were identified in 89. A positive incremental relationship was found between number of medications, length of stay, and number of pDDIs. Patients with respiratory pathologies were most predisposed to presenting DDIs. Agreement among databases was mixed. Intensivists confirmed 5% of pDDIs. Conclusions: Discrepancies among databases and in intensivist judgment highlight a significant information gap in the identification of DDIs.http://jppres.com/jppres/pdf/vol7/jppres18.483_7.3.184.pdfclinical pharmacistdrug interactionsintensive care unit
spellingShingle Eduardo A. Ziehl
Pia M. Córdova
Pola B. Fernández
Felipe E. Morales
Lorenzo A. Villa
Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreement
Journal of Pharmacy & Pharmacognosy Research
clinical pharmacist
drug interactions
intensive care unit
title Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreement
title_full Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreement
title_fullStr Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreement
title_full_unstemmed Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreement
title_short Drug-drug interactions in an intensive care unit of a tertiary hospital in southern Chile: Evaluating databases agreement
title_sort drug drug interactions in an intensive care unit of a tertiary hospital in southern chile evaluating databases agreement
topic clinical pharmacist
drug interactions
intensive care unit
url http://jppres.com/jppres/pdf/vol7/jppres18.483_7.3.184.pdf
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