Embolic stroke of undetermined source: beyond atrial fibrillation
Bibliographic record
Abstract
Embolic stroke of undetermined source (ESUS) accounts for 25% of all cerebral infarcts; only 30% are associated with paroxysmal atrial fibrillation (AF). Various biochemical, electrocardiographic, and echocardiographic findings may suggest left atrial damage and increased risk of embolism in the absence of clinically documented AF or atrial flutter. In this review, we analyse the available evidence on atrial cardiopathy or atrial disease, its involvement in ESUS, and its identification through electrocardiographic, echocardiographic, and serum markers and its possible therapeutic implications. A systematic search was conducted on MEDLINE (PubMed) using the following MeSH terms: MeSH [ESUS] + [atrial cardiopathy] + [atrial fibrillation] + [interatrial block] + [treatment]. We selected what we considered to be the most useful original prospective or retrospective studies and systematic reviews. We then read the full texts of the articles and checked the references cited in each article. We analyse epidemiological and demographic variables of patients with ESUS, as well as recent evidence related to presentation and prognosis and factors associated with recurrence and mortality. We review the contribution of atrial cardiopathy diagnosis prior to the detection of AF and the clinical, electrocardiographic, and echocardiographic variables and the biochemical markers associated with its development and its potential contribution to cerebral embolism. The systematic search of biochemical and electrocardiographic, and echocardiographic alterations can be useful to identify ESUS patients at higher risk of recurrence. El infarto cerebral embólico de origen no determinado (ESUS por sus siglas en inglés) representa el 25% de todos los infartos cerebrales y solo el 30% se asocia con fibrilación auricular (FA) paroxística. Existen diferentes hallazgos bioquímicos, electro y ecocardiográficos que sugieren daño auricular izquierdo y aumento del riesgo de embolismo en ausencia de FA o flutter auricular clínicamente documentados. En la presente revisión analizamos la evidencia disponible sobre cardiopatía atrial o enfermedad auricular, su implicación en el ESUS y su identificación mediante marcadores electrocardiográficos, ecocardiográficos y séricos y sus posibles implicaciones terapéuticas. Se realizó una búsqueda sistematizada a través de la fuente de información MEDLINE (PubMed), utilizando una estrategia diseñada con términos MeSH [ESUS] + [atrial cardiopathy] + [atrial fibrillation] + [interatrial block] + [treatment]. Se seleccionaron las publicaciones originales de estudios prospectivos, retrospectivos y de revisión consideradas como las más útiles. Se procedió a la lectura del texto completo y la bibliografía aportada en cada artículo. Se incluyeron los factores epidemiológicos y demográficos de los pacientes ESUS, así como la evidencia reciente relacionada con su forma de presentación, pronóstico y factores asociados con recurrencia y mortalidad. Se revisó la contribución de la presencia de cardiopatía auricular previo a la documentación de FA y las variables clínicas, electro y ecocardiográficas, así como los marcadores bioquímicos asociados con su desarrollo y su contribución como fuente potencial de embolismo cerebral. La búsqueda sistemática de alteraciones bioquímicas, electro y ecocardiográficas pueden ser de utilidad para identificar pacientes ESUS con mayor riesgo de recurrencia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".