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Br J Clin Pharmacol. 2021 Nov;87(11):4432-4438. doi: 10.1111/bcp.14869. Epub 2021 May 07.

Medication burden and clustering in people living with HIV undergoing therapeutic drug monitoring.

British journal of clinical pharmacology

Andrea Calcagno, Amedeo de Nicolò, Costanza Pizzi, Mattia Trunfio, Cristina Tettoni, Micol Ferrara, Chiara Alcantarini, Laura Trentini, Antonio D'Avolio, Giovanni Di Perri, Stefano Bonora

Affiliations

  1. Unit of Infectious Diseases, Department of Medical Sciences, University of Torino, Torino, Italy.
  2. Laboratory and Clinical Pharmacology and Pharmacogenetics, Department of Medical Sciences, University of Torino, Torino, Italy.
  3. Cancer Epidemiology Unit, Department of Medical Sciences, University of Torino, Torino, Italy.

PMID: 33890312 DOI: 10.1111/bcp.14869

Abstract

AIM: People living with HIV (PLWH) have a high burden of comorbidities and concomitant medication use. The aim of this study was to analyse the prevalence, predictors and patterns of polypharmacy (PP) in a large therapeutic drug monitoring (TDM) registry.

METHODS: We searched our TDM registry and categorized co-medications into 26 drug classes. We included patients with at least one medication recorded: PP and severe polypharmacy (sPP) were defined as the concomitant use of ≥5 or ≥10 nonantiretroviral/nonantitubercular drugs. Multivariable binary logistic analysis were conducted for identifying PP/sPP predictors. A hierarchical average-linkage cluster analysis was performed among drug classes.

RESULTS: We included 2432 participants (1158 PLWH) aged 49.6 years (± 14.4) in the 2016-2020 period. A higher number of concomitant medications (4 vs 3.1, P < .001) and a higher prevalence of PP (26.1% vs 21.8%, P = .015) were recorded in controls. At multivariable binary logistic analysis older age, female gender and HIV-positive serostatus (P = .015) were independent predictors of PP; older age and year of inclusion were independent predictors of sPP. Cluster analysis showed that patients receiving oral drug for type 2 diabetes have a high probability of receiving several other drugs; a cluster of co-medications was observed with opioids, diuretics and central nervous system-affecting drugs.

CONCLUSION: We observed a moderately high prevalence of polypharmacy in middle-aged PLWH: advanced age and female gender were associated with the greatest prevalence. The observation of co-medication clusters suggests groups of comorbidities but also identifies groups of patients at risk of similar drug-to-drug interactions.

© 2021 British Pharmacological Society.

Keywords: HIV; clusters; co-medications; drug-to-drug interactions; polypharmacy

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