Evidence map›Paper›PMID 32147805›Full record

Observational studyDrugs & aging2020

Frailty and Co-Prescribing of Potentially Interacting Drugs in New Users of Warfarin.

Milka Hauta-Aho, Simo Teperi, Maarit J Korhonen, J Simon Bell, Nicholas Farinola, Sally Johns, Sepehr Shakib, Risto Huupponen

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Drugs & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Drug Interactions Affecting Oral Anticoagulant Use.Circulation. Arrhythmia and electrophysiology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Milka Hauta-AhoInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Kiinamyllynkatu 10, 20014, Turku, Finland. milka.hauta-aho@utu.fi.ORCID 0000-0002-8210-9274
Simo TeperiDepartment of Biostatistics, University of Turku, Turku, Finland.
Maarit J KorhonenInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Kiinamyllynkatu 10, 20014, Turku, Finland.
J Simon BellFaculty of Pharmacy and Pharmaceutical Sciences, Centre for Medicine Use and Safety, Monash University, Melbourne, VIC, Australia.
Nicholas FarinolaDepartment of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, SA, Australia.ORCID 0000-0002-9855-6984
Sally JohnsDepartment of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, SA, Australia.
Sepehr ShakibDepartment of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, SA, Australia.ORCID 0000-0002-7199-5733
Risto HuupponenInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Kiinamyllynkatu 10, 20014, Turku, Finland.
Royal Adelaide Hospital · AUUniversity of Turku · FIDepartment of Health and Aged Care · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWarfarin is underutilised in frail older people because of the fear of bleeding complications. Drug interactions are an independent bleeding risk factor. However, the extent to which potential drug interactions are taken into account at warfarin therapy initiation in frail patients is not known.

objectiveThe objective of this study was to investigate the use of potentially interacting drugs increasing the bleeding risk before and after warfarin initiation in frail and non-frail patients.

methodsWe conducted an observational study including inpatients aged ≥ 60 years initiated on warfarin in a tertiary hospital in Adelaide, South Australia. Frailty status was assessed with the Reported Edmonton Frail Scale. Medication charts were reviewed before and after warfarin initiation.

resultsIn total, 151 patients (102 non-frail and 49 frail) were included. Before warfarin initiation, the use of clopidogrel and acetaminophen was more common in frail patients compared with non-frail patients (25.5% vs 10.2%, p = 0.0135, 63.8% vs 35.7% p = 0.0014, respectively). The use of non-steroidal anti-inflammatory drugs, 9.2% in non-frail patients and 6.4% in frail patients before warfarin initiation, was completely stopped after warfarin initiation in both groups. The use of antiplatelet drugs decreased from 56.1% in non-frail patients and 66.0 % in frail patients to 12.2% and 14.9%, respectively. Instead, the use of drugs affecting the metabolism of warfarin or vitamin K increased in both groups. No statistically significant difference was seen in the exposure to interacting drugs between study groups after warfarin initiation. Acetaminophen, senna glycosides and cytochrome P450 2C9 inhibiting drugs were the most common interacting drugs at discharge used in 49.0%, 18.4% and 20.4% of non-frail patients and 53.2%, 29.8% and 19.1% of frail patients, respectively.

conclusionsThe overall frequency of potential drug interactions was moderate and frail patients were not exposed to warfarin drug interactions more often than non-frail patients. Further studies in larger study populations are required to verify these results.

Indexed as

Frail ElderlyFrailtyAcetaminophenAgedAged, 80 and overAnticoagulantsAnti-Inflammatory Agents, Non-SteroidalClopidogrelDrug InteractionsDrug PrescriptionsDrug Utilization ReviewFemaleHemorrhageHumansMalePlatelet Aggregation InhibitorsAcetaminophenAnticoagulantsAnti-Inflammatory Agents, Non-SteroidalClopidogrelPlatelet Aggregation InhibitorsWarfarin

Identifiers

PMID32147805
PMCPMC7190596
OpenAlexW3010134125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.