Evidence map›Paper›PMID 34756422›Full record

ArticleThe American journal of cardiology2022

Outcomes of Direct Oral Anticoagulants Co-Prescribed with Common Interacting Medications.

David Sanborn, Alan Sugrue, Mustapha Amin, Ramila Mehta, Medhat Farwati, Abhishek J Deshmukh, Haarini Sridhar, Azza Ahmed, Samuel J Asirvatham, Narith N Ou and 4 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

14 authors at 3 institutions in 1 country.

David SanbornDepartment of Medicine, Mayo Clinic, Rochester, Minnesota.
Alan SugrueDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Mustapha AminDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Ramila MehtaDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
Medhat FarwatiDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Abhishek J DeshmukhDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Haarini SridharDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Azza AhmedDepartment of Internal Medicine, Mayo Clinic Health System, Eau Claire, Wisconsin.
Samuel J AsirvathamDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Narith N OuDepartment of Pharmacy, Mayo Clinic, Rochester, Minnesota.
Peter A NoseworthyDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Ammar M KilluDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Siva K MulpuruDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota.
Malini MadhavanDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, Minnesota. Electronic address: madhavan.malini@mayo.edu.
Mayo Clinic · USMayo Clinic Health System · USMayo Clinic in Florida · US

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002377
6 · The paper itself

Abstract

Direct oral anticoagulants (DOACs) can potentially interact with multiple prescription medications. We examined the prevalence of co-prescription of DOACs with interacting medications and its impact on outcomes in patients with atrial fibrillation (AF). Patients with AF treated with a DOAC from 2010 to 2017 at the Mayo Clinic and co-prescribed medications that are inhibitors or inducers of the P-glycoprotein and/or Cytochrome P450 3A4 pathways were identified. The outcomes of stroke, transient ischemic attack, or systemic embolism, major bleeding, and minor bleeds were compared between patients with and without an enzyme inducer. Cox proportional hazards model was used to assess the association between interacting medications and outcomes. Of 8,576 patients with AF (mean age 70 ± 12 years, 35% female) prescribed a DOAC (38.6% apixaban, 35.8% rivaroxaban, 25.6% dabigatran), 2,610 (30.4%) were on at least 1 interacting agent: the majority were on an enzyme inhibitor (n = 2,592). Prescribed medications included non-dihydropyridine calcium channel blocker (n = 1,412; 16.5%), antiarrhythmic medication (n = 790; 9.2%), antidepressant (n = 659; 7.7%), antibiotic/antifungal (n = 77; 0.90%), antiepileptics (n = 17; 0.2%) and immunosuppressant medications (n = 19; 0.2%). Patients on an interacting medication were more likely to receive a lower dose of DOAC than indicated by the manufacturer's labeling (15.0% vs 11.4%, p <0.0001). In multivariable analysis, co-prescription of an enzyme inhibitor was not associated with risk of any bleeding (hazard ratio 0.87 [0.71 to 1.05], p = 0.15) or stroke, transient ischemic attack, or systemic embolism (hazard ratio 0.82 [0.51 to 1.31], p = 0.39). In conclusion, DOACs are co-prescribed with medications with potential interactions in 30.4% of patients with AF. Co-prescription of DOACs and these drugs are not associated with increased risk of adverse embolic or bleeding outcomes in our cohort.

Indexed as

PolypharmacyAdministration, OralAgedAged, 80 and overAtrial FibrillationDrug InteractionsEmbolismFactor Xa InhibitorsFemaleHemorrhageHumansMaleMiddle AgedPractice Patterns, Physicians'Proportional Hazards ModelsStrokeFactor Xa Inhibitors

Identifiers

PMID34756422
PMCPMC8678337
OpenAlexW3209429282

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.