picture: Fig 5. Circosplots of co-medication pairs with ORs >1 with identified (left) or unknown (proper) DDIs.
Relations between an index drug and its co-medication are marked by connecting bands, with the width of every band proportional to the variety of pairs discovered between two therapeutic teams (the thinnest ribbon represents one pair, e.g. C07-P01 within the set of identified DDIs and A10-N04 within the set of unknown DDIs). The outer ring corresponds to the anatomical most important teams, and the interior ring corresponds to the therapeutic teams. Color of connecting bands corresponds to the anatomical group of the co-medication. See color legend in Fig 1. Probably the most considerable identified DDI relations had been noticed between N05-N06, N05-N05 and B01-J01. Unknown DDIs principally concerned the therapeutic teams J01 (e.g. J01-A10), B05 (e.g. B05-N02), A12 (e.g. A12-R03), A10 (e.g. B01-A10), R03 (e.g. J01-R03) and M05 (e.g. B01-M05). DDI: drug-drug interplay. OR: odds ratio.
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Credit score: Rodriguez et al, PLOS Digital Well being, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
Evaluation of knowledge from greater than 1 million Danish inpatients identifies almost 4,000 drug pairings which can be related to extra frequent dosage changes when prescribed collectively—probably hinting at beforehand undiscovered drug interactions. Søren Brunak of the College of Copenhagen, Denmark, and colleagues current these findings within the open-access journal PLOS Digital Well being.
In some circumstances, particularly amongst aged populations, an individual could also be prescribed a number of totally different medicines directly to be able to deal with one or a number of well being situations—a phenomenon often called polypharmacy. Polypharmacy is related to elevated well being dangers as a result of potential for dangerous interactions between totally different medicine. Polypharmacy analysis has usually centered on the quantity and kind of medication a affected person receives. Nonetheless, the dosage of every drug can also affect interactions and well being outcomes.
To deepen understanding of polypharmacy within the context of drug dosage, Leal, Haue, Brunak and colleagues analyzed knowledge from the digital well being data of greater than 1 million sufferers admitted as inpatients in Danish hospitals from 2008 to 2016. They used a statistical strategy often called Bayesian inference to determine drug pairings related to extra frequent changes to the dosage of the medicine.
Out of 77,249 complete drug pairings, 3,993 had been related to extra frequent dosage changes when given collectively. Additional evaluation confirmed that, of the pairs related to extra frequent dosage changes, 2,412 had been additionally related to hospital readmission, mortality, or longer hospital stays, and 308 had been related to worsened kidney perform.
Lots of the drug pairs related to dosage changes have already been linked by earlier analysis to potential dangerous drug interactions. Nonetheless, 694 haven’t, and whereas this examine doesn’t show any cause-effect relationships, the authors recommend that a few of these drug pairings could contain beforehand undiscovered interactions. These are sometimes given to fewer sufferers and due to this fact more durable to detect in small scale research – opposite to the 185 million therapy episodes used on this examine. Future analysis will likely be wanted to discover that chance.
General, these findings assist deepen understanding of hyperlinks between drug dosage and polypharmacy, and will assist information future analysis of drug interactions and efforts to scale back the dangers of polypharmacy for sufferers.
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In your protection, please use this URL to supply entry to the freely obtainable article in PLOS Digital Well being: https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000336
Quotation: Leal Rodríguez C, Haue AD, Mazzoni G, Eriksson R, Hernansanz Biel J, Cantwell L, et al. (2023) Drug dosage modifications in 24 million in-patient prescriptions overlaying eight years: A Danish population-wide examine of polypharmacy. PLOS Digit Well being 2(9): e0000336. https://doi.org/10.1371/journal.pdig.0000336
Creator International locations: Denmark.
Funding: This work was supported by the Novo Nordisk Basis (grants NNF17OC0027594, NNF14CC0001 and NNF18SA0034956) and the Danish Innovation Fund (grant 5153-00002B).
Methodology of Analysis
Observational examine
Topic of Analysis
Individuals
Article Title
Drug dosage modifications in 24 million in-patient prescriptions overlaying eight years: A Danish population-wide examine of polypharmacy
Article Publication Date
7-Sep-2023
COI Assertion
Competing Pursuits: S.B. studies ownerships in Intomics A/S, Hoba Therapeutics Aps, Novo Nordisk A/S, Lundbeck A/S and managing board membership in Intomics A/S exterior the submitted work. The opposite authors have declared that no competing pursuits exist.
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