Evidence map›Paper›PMID 35744063›Full record

Observational studyMedicina (Kaunas, Lithuania)2022

High Prevalence of Atrial Fibrillation in a Lithuanian Stroke Patient Cohort.

Rytis Masiliūnas, Austėja Dapkutė, Julija Grigaitė, Jokūbas Lapė, Domantas Valančius, Justinas Bacevičius, Rimgaudas Katkus, Aleksandras Vilionskis, Aušra Klimašauskienė, Aleksandra Ekkert and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 1 institution in 1 country.

Rytis MasiliūnasCenter of Neurology, Vilnius University, 08661 Vilnius, Lithuania.ORCID 0000-0002-8033-9682
Austėja DapkutėCenter of Neurology, Vilnius University, 08661 Vilnius, Lithuania.
Julija GrigaitėCenter of Neurology, Vilnius University, 08661 Vilnius, Lithuania.
Jokūbas LapėFaculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Domantas ValančiusCenter of Neurology, Vilnius University, 08661 Vilnius, Lithuania.ORCID 0000-0002-2471-4142
Justinas BacevičiusCenter of Cardiology and Angiology, Vilnius University, 08661 Vilnius, Lithuania.
Rimgaudas KatkusCenter of Cardiology and Angiology, Vilnius University, 08661 Vilnius, Lithuania.
Aleksandras VilionskisClinic of Neurology and Neurosurgery, Vilnius University, 03101 Vilnius, Lithuania.ORCID 0000-0002-8055-3558
Aušra KlimašauskienėCenter of Neurology, Vilnius University, 08661 Vilnius, Lithuania.
Aleksandra EkkertCenter of Neurology, Vilnius University, 08661 Vilnius, Lithuania.
Dalius JatužisCenter of Neurology, Vilnius University, 08661 Vilnius, Lithuania.ORCID 0000-0001-6159-4795
Vilnius University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with a five-fold increased risk for acute ischemic stroke (AIS). We aimed to estimate the prevalence of AF in a Lithuanian cohort of stroke patients, and its impact on patients regarding case fatality, functional outcome, and health-related quality of life (HRQoL) at 90 days. Materials and Methods: A single-center prospective study was carried out for four non-consecutive months between December 2018 and July 2019 in one of the two comprehensive stroke centers in Eastern Lithuania. A telephone-based follow-up was conveyed at 90 days using the modified Rankin Scale (mRS) and EuroQoL five-dimensional three-level descriptive system (EQ-5D-3L) with a self-rated visual analog scale (EQ-VAS). One-year case fatality was investigated. Results: We included 238 AIS patients with a mean age of 71.4 ± 11.9 years of whom 45.0% were female. A striking 97 (40.8%) AIS patients had a concomitant AF, in 68 (70.1%) of whom the AF was pre-existing. The AIS patients with AF were at a significantly higher risk for a large vessel occlusion (LVO; odds ratio 2.72 [95% CI 1.38−5.49], p = 0.004), and had a more severe neurological impairment at presentation (median NIHSS score (interquartile range): 9 (6−16) vs. 6 (3−9), p < 0.001). The LVO status was only detected in those who had received computed tomography angiography. Fifty-five (80.9%) patients with pre-existing AF received insufficient anticoagulation at stroke onset. All patients received a 12-lead ECG, however, in-hospital 24-h Holter monitoring was only performed in 3.4% of AIS patients without pre-existing AF. Although multivariate analyses found no statistically significant difference in one-year stroke patient survival and favorable functional status (mRS 0−2) at 90 days, when adjusted for age, gender, reperfusion treatment, baseline functional status, and baseline NIHSS, stroke patients with AF had a significantly poorer self-perceived HRQoL, indicated by a lower EQ-VAS score (regression coefficient ± standard error: β = −11.776 ± 4.850, p = 0.017). Conclusions: In our single-center prospective observational study in Lithuania, we found that 40.8% of AIS patients had a concomitant AF, were at a higher risk for an LVO, and had a significantly poorer self-perceived HRQoL at 90 days. Despite the high AF prevalence, diagnostic tools for subclinical AF were greatly underutilized.

Indexed as

Atrial FibrillationIschemic StrokeStrokeAgedAged, 80 and overFemaleHumansLithuaniaMaleMiddle AgedPrevalenceProspective StudiesQuality of LifeRisk Factorsantithrombotic treatmentatrial fibrillationischemic strokeLithuaniasurvival

Identifiers

PMID35744063
PMCPMC9230037
OpenAlexW4282931344

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.