Role of LA volume in Prediction of AF in Cryptogenic Ischemic Stroke Patients
Notice bibliographique
Résumé
Background:Atrial fibrillation (AF) is one of the major causes of stroke. Unfortunately, AF can be paroxysmal and as such can be difficult to detect even with prolonged cardiac monitoring. About 25% of all the strokes are thought to be AF related, and a similar numbers are cryptogenic. A large proportion of these cryptogenic strokes could be secondary to undiagnosed paroxysmal AF not detected on 24 hour Holter monitor. Studies like CRYSTAL AF1 and EMBRACE AF2 proved that prolonged cardiac monitoring in cryptogenic stroke patients identified up to 13% more patients of AF. However, recent evidence3 suggests that treating all cryptogenic stroke patients empirically can be harmful and suggested that there may be other aetiologies (e.g. atheromatous plaques in locations other than carotid arteries) contributing to stroke. Hence, surrogate markers to predict AF are required to separate AF related cryptogenic strokes from cryptogenic strokes of alternate aetiologies to ensure that costly investigations are targeted to those at greatest risk of AF. Previous work has suggested that AF associated stroke has an association with an enlarged left atrium (as measured by left atrial volume indexed to body surface area, LAVi). Methods:We conducted a retrospective audit of 95 patients admitted to the Stroke Unit at Fiona Stanley Hospital with radiologically confirmed acute ischemic stroke. We reviewed data for approximately 250 consecutive patients and 95 patients met entry criteria for the study. Data regarding demographics, risk factors, ECG, Holter monitor, echocardiogram, basic blood tests, carotid neck imaging and cranial imaging were available in most patients. Based on this information, strokes were divided into 4 groups: 1. Stroke due to small vessel disease (SVDS), 2. Stroke due to large vessel disease (LVDS), 3. Stroke due to AF (AFS) confirmed either on ECG or 24 hour Holter monitoring, and 4. Cryptogenic strokes / Embolic Stroke of undetermined source (ESUS). LAVi was calculated on all patients using same Biplane Method and using the same formula (Canadian Society of Echocardiography). Normal Value for LAVi with this calculator is 34ml/m2 or less. Results: We entered 95 patients into our study. Mean age was 68 years, 43.2 percent were female. Atrial fibrillation and cryptogenic strokes were the most frequent. Stroke due to AF patients were older and female sex was more common compared to the other 3 groups. Valvular heart disease, hypertension and renal impairment were more frequent in AF related stroke patients. Smoking and dyslipidemia were more common higher in LVDS. Mean LAVi was significantly greater in AF related strokes (49.6 ml/m2) compared with large artery stroke (31.8 ml/m2, p = 0.023) Mean LAVi was also larger in AF related strokes as compared to SVDS (37.9 ml/m2) but not statistically significant. Interestingly mean LAVi was significantly larger in AF related strokes as compared to cryptogenic strokes (33.6). (Table).Discussion:Our study demonstrated that LAVi was the single most important predictor of cardioembolic stroke (CES). LAVi is considered a marker of increased left atrial pressure. A large left atrium is also associated with atrial fibrillation. Possible other causes for left atrial enlargement include valvular disease and diastolic dysfunction. As it is difficult to measure diastolic dysfunction during AF, we were unable to accurately assess the relationship in our cohort.Conclusion:LAVi is significantly higher in patients with stroke due to AF. This may be a useful parameter to select patients with cryptogenic stroke to subject to long term monitoring. This result can also be used for future ESUS trials to select patients for empirical anticoagulation.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».