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Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study

BACKGROUND: A precondition for developing strategies to reduce polypharmacy and its well-known harmful consequences is to study its epidemiology and associated factors. The objective of this study was to analyse the prevalence of polypharmacy (defined as ≥8 prescribed drugs), of potentially inapprop...

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Autores principales: Piccoliori, Giuliano, Mahlknecht, Angelika, Sandri, Marco, Valentini, Martina, Vögele, Anna, Schmid, Sara, Deflorian, Felix, Engl, Adolf, Sönnichsen, Andreas, Wiedermann, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981991/
https://www.ncbi.nlm.nih.gov/pubmed/33743582
http://dx.doi.org/10.1186/s12877-021-02141-w
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author Piccoliori, Giuliano
Mahlknecht, Angelika
Sandri, Marco
Valentini, Martina
Vögele, Anna
Schmid, Sara
Deflorian, Felix
Engl, Adolf
Sönnichsen, Andreas
Wiedermann, Christian
author_facet Piccoliori, Giuliano
Mahlknecht, Angelika
Sandri, Marco
Valentini, Martina
Vögele, Anna
Schmid, Sara
Deflorian, Felix
Engl, Adolf
Sönnichsen, Andreas
Wiedermann, Christian
author_sort Piccoliori, Giuliano
collection PubMed
description BACKGROUND: A precondition for developing strategies to reduce polypharmacy and its well-known harmful consequences is to study its epidemiology and associated factors. The objective of this study was to analyse the prevalence of polypharmacy (defined as ≥8 prescribed drugs), of potentially inappropriate medications (PIMs) and major drug-drug interactions (DDIs) among community-dwelling general practice patients aged ≥75 years and to identify characteristics being associated with polypharmacy. METHODS: This cross-sectional study is derived from baseline data (patients’ demographic/biometric characteristics, diagnoses, medication-related data, cognitive/affective status, quality of life) of a northern-Italian cluster-RCT. PIMs and DDIs were assessed using the 2012 Beers criteria and the Lexi-Interact® database. Data were analysed using descriptive methods, Wilcoxon rank-sum tests, Fisher’s exact tests and Spearman correlations. RESULTS: Of the eligible patients aged 75+, 13.4% were on therapy with ≥8 drugs. Forty-three general practitioners and 579 patients participated in the study. Forty five point nine percent of patients were treated with ≥1 Beers-listed drugs. The most frequent PIMs were benzodiazepines/hypnotics (19.7% of patients) and NSAIDs (6.6%). Sixty seven point five percent of patients were exposed to ≥1 major DDI, 35.2% to ≥2 major DDIs. Antithrombotic/anticoagulant medications (30.4%) and antidepressants/antipsychotics (23.1%) were the most frequently interacting drugs. Polypharmacy was significantly associated with a higher number of major DDIs (Spearman’s rho 0.33, p < 0.001) and chronic conditions (Spearman’s rho 0.20, p < 0.001), higher 5-GDS scores (thus, lower affective status) (Spearman’s rho 0.12, p = 0.003) and lower EQ-5D-5L scores (thus, lower quality of life) (Spearman’s rho − 0.14, p = 0.001). Patients’ age/sex, 6-CIT scores (cognitive status), BMI or PIM use were not correlated with the number of drugs. CONCLUSIONS: The prevalence of polypharmacy, PIMs and major DDIs was considerable. Results indicate that physicians should particularly observe their patients with multiple conditions, reduced health and affective status, independently from other patients’ characteristics. Careful attention about indication, benefit and potential risk should be paid especially to patients on therapy with specific drug classes identified as potentially inappropriate or prone to major DDIs in older persons (e.g., benzodiazepines, NSAIDs, protonic pump inhibitors, antithrombotics/anticoagulants, antidepressants/antipsychotics). TRIAL REGISTRATION: The cluster-RCT on which this cross-sectional analysis is based was registered with Current Controlled Trials Ltd. (ID ISRCTN: 38449870) on 2013-09-11.
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spelling pubmed-79819912021-03-22 Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study Piccoliori, Giuliano Mahlknecht, Angelika Sandri, Marco Valentini, Martina Vögele, Anna Schmid, Sara Deflorian, Felix Engl, Adolf Sönnichsen, Andreas Wiedermann, Christian BMC Geriatr Research Article BACKGROUND: A precondition for developing strategies to reduce polypharmacy and its well-known harmful consequences is to study its epidemiology and associated factors. The objective of this study was to analyse the prevalence of polypharmacy (defined as ≥8 prescribed drugs), of potentially inappropriate medications (PIMs) and major drug-drug interactions (DDIs) among community-dwelling general practice patients aged ≥75 years and to identify characteristics being associated with polypharmacy. METHODS: This cross-sectional study is derived from baseline data (patients’ demographic/biometric characteristics, diagnoses, medication-related data, cognitive/affective status, quality of life) of a northern-Italian cluster-RCT. PIMs and DDIs were assessed using the 2012 Beers criteria and the Lexi-Interact® database. Data were analysed using descriptive methods, Wilcoxon rank-sum tests, Fisher’s exact tests and Spearman correlations. RESULTS: Of the eligible patients aged 75+, 13.4% were on therapy with ≥8 drugs. Forty-three general practitioners and 579 patients participated in the study. Forty five point nine percent of patients were treated with ≥1 Beers-listed drugs. The most frequent PIMs were benzodiazepines/hypnotics (19.7% of patients) and NSAIDs (6.6%). Sixty seven point five percent of patients were exposed to ≥1 major DDI, 35.2% to ≥2 major DDIs. Antithrombotic/anticoagulant medications (30.4%) and antidepressants/antipsychotics (23.1%) were the most frequently interacting drugs. Polypharmacy was significantly associated with a higher number of major DDIs (Spearman’s rho 0.33, p < 0.001) and chronic conditions (Spearman’s rho 0.20, p < 0.001), higher 5-GDS scores (thus, lower affective status) (Spearman’s rho 0.12, p = 0.003) and lower EQ-5D-5L scores (thus, lower quality of life) (Spearman’s rho − 0.14, p = 0.001). Patients’ age/sex, 6-CIT scores (cognitive status), BMI or PIM use were not correlated with the number of drugs. CONCLUSIONS: The prevalence of polypharmacy, PIMs and major DDIs was considerable. Results indicate that physicians should particularly observe their patients with multiple conditions, reduced health and affective status, independently from other patients’ characteristics. Careful attention about indication, benefit and potential risk should be paid especially to patients on therapy with specific drug classes identified as potentially inappropriate or prone to major DDIs in older persons (e.g., benzodiazepines, NSAIDs, protonic pump inhibitors, antithrombotics/anticoagulants, antidepressants/antipsychotics). TRIAL REGISTRATION: The cluster-RCT on which this cross-sectional analysis is based was registered with Current Controlled Trials Ltd. (ID ISRCTN: 38449870) on 2013-09-11. BioMed Central 2021-03-20 /pmc/articles/PMC7981991/ /pubmed/33743582 http://dx.doi.org/10.1186/s12877-021-02141-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Piccoliori, Giuliano
Mahlknecht, Angelika
Sandri, Marco
Valentini, Martina
Vögele, Anna
Schmid, Sara
Deflorian, Felix
Engl, Adolf
Sönnichsen, Andreas
Wiedermann, Christian
Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study
title Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study
title_full Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study
title_fullStr Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study
title_full_unstemmed Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study
title_short Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study
title_sort epidemiology and associated factors of polypharmacy in older patients in primary care: a northern italian cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981991/
https://www.ncbi.nlm.nih.gov/pubmed/33743582
http://dx.doi.org/10.1186/s12877-021-02141-w
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