Introduction: Information about the effect of preadmission oral anticoagulant therapy (OAT) on stroke outcome in patients with atrial fibrillation (AF) is scarce. A systematic review was done of the existing data on the association between preadmission OAT and stroke outcome in patients with AF.

Method: We performed a systematic search in the PubMed Database, the Embase Database and the Cochrane Database of Systematic Reviews identifying 13 studies that met the inclusion criteria.

Results: The studies included a total of 18,523 patients with AF and admission with stroke. Of these, 1,169 had a haemorrhagic stroke. The proportion of patients in preadmission OAT varied from 5 to 37%, and the proportion who did not receive any antithrombotic therapy (AT) varied from 22 to 75%. The risk of having a severe stroke for patients with an international normalised ratio (INR) < 2 ranged from 26 to 43% compared with a 15-36% range for patients with an INR ≥ 2. The risk of death or disability among patients not receiving any AT ranged from 22 to 56% compared with 15-59% for those on platelet inhibitors, 16-48% for those on OAT with an INR < 2 and 6-37% among patients with an INR ≥ 2. These patterns were confirmed after adjustment for confounding factors.

Conclusion: Only a minority of AF patients with stroke received OAT at the time of hospitalisation. Overall, preadmission OAT was associated with less severe strokes and a lower risk of death or disability. Further efforts seem warranted to ensure OAT for all eligible AF patients.

Download full-text PDF

Source

Publication Analysis

Top Keywords

outcome patients
12
preadmission oat
12
patients
11
preadmission oral
8
oral anticoagulant
8
anticoagulant therapy
8
atrial fibrillation
8
oat stroke
8
stroke outcome
8
patients inr
8

Similar Publications

Background/aims: Rare disease drug development faces unique challenges, such as genotypic and phenotypic heterogeneity within small patient populations and a lack of established outcome measures for conditions without previously successful drug development programs. These challenges complicate the process of selecting the appropriate trial endpoints and conducting clinical trials in rare diseases. In this descriptive study, we examined novel drug approvals for non-oncologic rare diseases by the U.

View Article and Find Full Text PDF

Introduction: The sequential parallel comparison design has emerged as a valuable tool in clinical trials with high placebo response rates. To further enhance its efficiency and effectiveness, adaptive strategies, such as sample size adjustment and allocation ratio modification can be employed.

Methods: We compared the performance of Jennison and Turnbull's method and the Promising Zone approach for sample size adjustment in a two-phase sequential parallel comparison design study.

View Article and Find Full Text PDF

Background: Over the past five years, the pregnancy rate in assisted reproductive technology (ART) programs in Russia has remained relatively stable. The aim of this study was to assess the distribution of monocyte and macrophage subsets in the blood and follicular fluid of infertile women undergoing assisted reproductive technology.

Methods: The study involved 45 women with a mean age of 35 ± 4.

View Article and Find Full Text PDF

Background: We aimed to assess impairments on health-related quality of life, and mental health resulting from Retinal artery occlusion (RAO) with monocular visual field loss and posterior circulation ischemic stroke (PCIS) with full or partial hemianopia using patient-reported outcome measures (PROMs).

Methods: In a prospective study, consecutive patients with acute RAO on fundoscopy and PCIS on imaging were recruited during their surveillance on a stroke unit over a period of 15 months. Baseline characteristics were determined from medical records and interviews.

View Article and Find Full Text PDF

Human vs Machine: The Future of Decision-making in Plastic and Reconstructive Surgery.

Aesthet Surg J

January 2025

Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.

Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.

Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!