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Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases

BACKGROUND: Drug-drug interactions (DDIs) are factors of adverse drug reactions and are more common in elderly patients. Identifying potential DDIs can prevent the related risks. Fewer studies of potential DDIs in prescribing for elderly patients in outpatient clinics. This study aimed to investigat...

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Autores principales: Liu, Yue, Wang, Jin, Gong, Hui, Li, Chen, Wu, Jin, Xia, Tianyi, Li, Chuntong, Li, Shu, Chen, Mengli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906203/
https://www.ncbi.nlm.nih.gov/pubmed/36760261
http://dx.doi.org/10.21037/atm-22-5463
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author Liu, Yue
Wang, Jin
Gong, Hui
Li, Chen
Wu, Jin
Xia, Tianyi
Li, Chuntong
Li, Shu
Chen, Mengli
author_facet Liu, Yue
Wang, Jin
Gong, Hui
Li, Chen
Wu, Jin
Xia, Tianyi
Li, Chuntong
Li, Shu
Chen, Mengli
author_sort Liu, Yue
collection PubMed
description BACKGROUND: Drug-drug interactions (DDIs) are factors of adverse drug reactions and are more common in elderly patients. Identifying potential DDIs can prevent the related risks. Fewer studies of potential DDIs in prescribing for elderly patients in outpatient clinics. This study aimed to investigate the prevalence and associated factors with potential DDIs and potentially clinically significant DDIs (csDDIs) among elderly outpatients based on 3 DDIs databases. METHODS: A cross-sectional study was carried out on outpatients (≥65 years old) of a tertiary care hospital in China between January and March 2022. Patients’ prescriptions, including at least 1 systemic drug, were consecutively collected. The potential DDIs were identified by Lexicomp(®), Micromedex(®), and DDInter. Patient-related clinical parameter recorded at the prescriptions and DDIs with higher risk rating was analyzed. Variables showing association in univariate analysis (P<0.2) were included in logistic regression analysis. Weighted kappa analysis was used to analyze the consistencies of different databases. RESULTS: A total of 19,991 elderly outpatients were involved in the study, among whom 21,527 drug combinations including 486 drugs occurred. Lexicomp(®), Micromedex(®), and DDInter respectively identified 32.22%, 32.93%, and 22.62% of patients have at least one potential DDIs, meanwhile, 9.16%, 14.53%, and 4.56% of patients have at least one potential csDDIs. Under any evaluation criteria, polypharmacy and neurology visits were risk factors for csDDIs. Lexicomp(®) has the highest coverage rate (87.86%) for drugs. Micromedex(®) identified the most csDDIs (740 drug combinations). Drugs used in diabetes and psycholeptics were frequently found in the csDDIs of 2 commercial databases. The consistency between Lexicomp(®) and Micromedex(®) was moderate (weighted kappa 0.473). DDInter had fair consistencies with the other databases. CONCLUSIONS: This study showed the prevalence of potential DDIs is high in elderly outpatients and potential csDDIs were prevalent. Considering the relative risk, pre-warning of potential DDIs before outpatient prescribing is necessary. As the consistencies among identification criteria are not good, more research is needed to focus on actual adverse outcomes to promote accurate prevention of csDDIs.
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spelling pubmed-99062032023-02-08 Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases Liu, Yue Wang, Jin Gong, Hui Li, Chen Wu, Jin Xia, Tianyi Li, Chuntong Li, Shu Chen, Mengli Ann Transl Med Original Article BACKGROUND: Drug-drug interactions (DDIs) are factors of adverse drug reactions and are more common in elderly patients. Identifying potential DDIs can prevent the related risks. Fewer studies of potential DDIs in prescribing for elderly patients in outpatient clinics. This study aimed to investigate the prevalence and associated factors with potential DDIs and potentially clinically significant DDIs (csDDIs) among elderly outpatients based on 3 DDIs databases. METHODS: A cross-sectional study was carried out on outpatients (≥65 years old) of a tertiary care hospital in China between January and March 2022. Patients’ prescriptions, including at least 1 systemic drug, were consecutively collected. The potential DDIs were identified by Lexicomp(®), Micromedex(®), and DDInter. Patient-related clinical parameter recorded at the prescriptions and DDIs with higher risk rating was analyzed. Variables showing association in univariate analysis (P<0.2) were included in logistic regression analysis. Weighted kappa analysis was used to analyze the consistencies of different databases. RESULTS: A total of 19,991 elderly outpatients were involved in the study, among whom 21,527 drug combinations including 486 drugs occurred. Lexicomp(®), Micromedex(®), and DDInter respectively identified 32.22%, 32.93%, and 22.62% of patients have at least one potential DDIs, meanwhile, 9.16%, 14.53%, and 4.56% of patients have at least one potential csDDIs. Under any evaluation criteria, polypharmacy and neurology visits were risk factors for csDDIs. Lexicomp(®) has the highest coverage rate (87.86%) for drugs. Micromedex(®) identified the most csDDIs (740 drug combinations). Drugs used in diabetes and psycholeptics were frequently found in the csDDIs of 2 commercial databases. The consistency between Lexicomp(®) and Micromedex(®) was moderate (weighted kappa 0.473). DDInter had fair consistencies with the other databases. CONCLUSIONS: This study showed the prevalence of potential DDIs is high in elderly outpatients and potential csDDIs were prevalent. Considering the relative risk, pre-warning of potential DDIs before outpatient prescribing is necessary. As the consistencies among identification criteria are not good, more research is needed to focus on actual adverse outcomes to promote accurate prevention of csDDIs. AME Publishing Company 2023-01-15 2023-01-15 /pmc/articles/PMC9906203/ /pubmed/36760261 http://dx.doi.org/10.21037/atm-22-5463 Text en 2023 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Liu, Yue
Wang, Jin
Gong, Hui
Li, Chen
Wu, Jin
Xia, Tianyi
Li, Chuntong
Li, Shu
Chen, Mengli
Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases
title Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases
title_full Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases
title_fullStr Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases
title_full_unstemmed Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases
title_short Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases
title_sort prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906203/
https://www.ncbi.nlm.nih.gov/pubmed/36760261
http://dx.doi.org/10.21037/atm-22-5463
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