The DOI matches its Crossref record, with a small difference in title or year; 27 of the 28 references it cites were found in a registry or an index.
Contribution of Atrial Fibrillation to Incidence and Outcome of Ischemic Stroke: Results From a Population-Based Study
Abstract
Background and Purpose— Atrial fibrillation (AF) is a major risk factor for ischemic stroke and its prevalence increases steeply with age. Population-based data on its influence on stroke outcome are scarce. Methods— We evaluated the prevalence of AF and its influence on prognosis in patients with a first-ever ischemic stroke from a population-based registry. Results— The presence of AF at stroke onset and during the acute phase was confirmed by a standard electrocardiogram in 869 (24.6%) of 3530 patients with ischemic stroke. With respect to patients without the arrhythmia, those with AF were more frequently women, aged 80 years and older, with coronary heart disease and peripheral arterial disease. The presence of AF was associated with high 30-day (32.5%; 95% CI, 29.3 to 35.6) and 1-year case-fatality rates (49.5%; 95% CI, 46.2 to 52.8), with a higher stroke recurrence rate within the first year of follow-up (6.6% versus 4.4%; P =0.046) and with the worst survival after an average follow-up of 45.2 months ( P <0.0001). At the multivariate Cox regression analysis, AF was an independent predictor of 30-day and 1-year mortality. Approximately 17% of all deaths were attributable to the presence of AF. Conclusions— We found a high prevalence of AF in patients with a first-ever ischemic stroke, especially among elderly women. The overall contribution of AF to stroke mortality was relevant, suggesting that together with new strategies to prevent the development of the arrhythmia more appropriate treatments are needed, mostly in elderly women.
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“Postdischarge AECG recording after cryptogenic stroke has particular utility (Marini et al., 2005) although AF detection is sensitive to the patient selection process, the definition of AF, and the duration of monitoring.”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Marini et al., 2005
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Metadata
- Authors
- Marini, C., De Santis, F., Sacco, S., Russo, T., Olivieri, L., Totaro, R., & Carolei, A.
- Affiliations
- University of L'Aquila (IT)
- From Clinica Neurologica, Università degli Studi di L’Aquila, L’Aquila, Italy.
- Venue
- Stroke
- Published
- 2005-06
- Volume
- 36
- Issue
- 6
- Pages
- 1115-1119
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2055586130
- Cited by
- 949
- References
- 28
- Citations by year
- 2026: 32 · 2025: 41 · 2024: 49 · 2023: 42 · 2022: 62 · 2021: 52 · 2020: 47 · 2019: 61 · 2018: 60 · 2017: 59 · 2016: 49 · 2015: 66 · 2014: 63 · 2013: 68 · 2012: 59
- FWCI
- 9.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Stroke (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi dell Aquila (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cardiovascular and Diving-Related Complications
- Keywords
- atrial fibrillation, ischemic stroke, stroke mortality, case fatality, stroke recurrence, stroke prognosis, older women, atrial fibrillation prevalence, cardiovascular risk factors, coronary artery disease, peripheral arterial disease
- MeSH terms
- Adult, Aged, Aged, 80 and over, Atrial Fibrillation, Electrocardiography, Female, Humans, Ischemia, Male, Middle Aged, Prognosis, Recurrence, Registries, Regression Analysis, Risk Factors, Time Factors, Incidence, Proportional Hazards Models, Treatment Outcome, Stroke
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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