Estimated incidence of previously undetected atrial fibrillation on a 14-day continuous electrocardiographic monitor and associated risk of stroke: comment—Authors’ reply
Notice bibliographique
Résumé
This is a response to the Letter to the Editor, ‘Estimated incidence of previously undetected atrial fibrillation on a 14-day continuous electrocardiographic monitor and associated risk of stroke: comment’ by Adithya Sreeniva and Mahmood Ahmad https://doi.org/10.1093/europace/euac206, about the article, ‘Estimated incidence of previously undetected atrial fibrillation on a 14-day continuous electrocardiographic monitor and associated risk of stroke’ by William F. McIntyre et al.https://doi.org/10.1093/europace/euab324. We thank Sreenivas and Ahmad for their interest in our work. We used pacemaker data from participants in asymptomatic atrial fibrillation and stroke evaluation in pacemaker patients and the atrial fibrillation reduction atrial pacing trial (ASSERT) to simulate 14-day Holter monitors used for atrial fibrillation (AF) screening in patients aged ≤65 with hypertension.1 The proportion of patients who would have a total duration of AF ≥6 min was estimated at 3.1%. This finding was associated with a tripling of the hazard for stroke. The readers request exploration of the relationship between CHA2DS2-VASc and stroke/systemic emboli in ASSERT patients without any AF. A previous analysis of ASSERT reported that among patients with no subclinical AF during follow-up, 19 strokes or systemic emboli occurred in 1811 patients, corresponding to an event rate of 0.54%/year.2 With so few clinical events, we would not have the power to appropriately investigate this relationship. Moreover, we would have no ability to test whether such events in high CHA2DS2-VASc patients without AF would be sensitive to oral anticoagulation (OAC). Larger, observational data sets with contemporary monitoring are better suited to answer the question of baseline risk and appropriately designed randomized trials would be required to assess the role of OAC in this population. Two large randomized trials have already failed to show that OAC was superior to aspirin for the prevention of recurrent stroke in patients with a prior history of embolic stroke of undetermined source (ESUS). Among these, rivaroxaban versus aspirin in secondary prevention of stroke and prevention of systemic embolism in patients with recent embolic stroke of undetermined source (NAVIGATE-ESUS) showed that OAC increased bleeding.3 The readers also asked about the relationship between the burden of premature atrial contractions (PACs) and the risk of stroke/systemic embolism. The pacemakers used in ASSERT did not collect these data. Interestingly, a sub-study of NAVIGATE-ESUS showed that high PAC counts did not predict response to OAC in patients with ESUS but without AF4 The readers wonder about the relationship between AF episodes that lasted <6 min and stroke. ASSERT began in 2000, when device-based AF detection algorithms were less sophisticated compared with today’s technology. In ASSERT, physicians reviewed all device-detected AF lasting ≥6 min, and 50% of shorter episodes.5 Of the more than 10 000 adjudicated episodes lasting <6 min, only 50% were actually AF; these episodes were totally impractical for clinical or research use. As a result, ASSERT focused on device-detected AF episodes that lasted ≥6 min, where the positive predictive value was 83%, although physician review was still necessary. Although the readers are concerned about the risk associated with short AF episodes, it was uncommon for individuals with device-detected AF to have only short episodes. The average and median AF burdens over 14 days of simulated monitoring were 55.3 ± 104.7 h and 6.1 (interquartile range 1.1–38.3) hours, respectively. Each data set has its strengths and weaknesses. Ten years after the original publication, the strengths of ASSERT remain the completeness of monitoring and the very low rate of OAC use. Unfortunately, it cannot tell us about AF events that were shorter than 6 min and the relatively small number of events makes subgroup analyses challenging. We believe the questions raised by Sreenivas and Ahmad are interesting and important but are best left to other studies.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,082 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,037 | 0,030 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,007 |
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 source (Gemma direct ou Codex distillé), 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 ».