Anticoagulation and stroke in hospitalized patients newly diagnosed with secondary atrial fibrillation: a population-based cohort study
Notice bibliographique
Résumé
Abstract Background Atrial fibrillation (AF) can be triggered by acute precipitants, with reversion to sinus rhythm after the stressor resolves. This has been described as "secondary AF", to differentiate it from AF without acute provocation ("primary AF"). Objective To describe anticoagulation patterns and the risk of stroke following hospitalization with a new diagnosis of secondary AF, with comparison to a first hospitalization for primary AF. Methods We created a cohort of adults aged ≥66 years who were discharged alive from hospital after a first diagnosis of AF between April 1, 2013, and March 31, 2019. The main exposure was "secondary" AF, with "primary" AF serving as the comparator group. This was based on a validated approach utilizing the AF discharge diagnosis type. Patients were followed for 1 year. We used drug dispensation records to determine the proportion of people anticoagulated after discharge from hospital. We also identified hospitalizations for stroke. We used the cumulative incidence function to estimate the risk of stroke while not anticoagulated, while censoring on dispensation of anticoagulation and treating death as a competing risk. Inverse probability of censoring weights were used to reduce bias from informative censoring. Cause-specific hazards regression was used to estimate the hazard ratio (HR) for stroke associated with secondary AF (relative to primary AF) while accounting for differences in baseline characteristics and time-varying anticoagulation status. Results We identified 13,011 people with secondary AF and 11,065 with primary AF. People with primary AF were older (mean 79.5 yrs vs. 77.1 yrs for secondary AF), more likely to be female (58.6% vs. 42.3% for secondary AF), and more likely to have prior HF. Secondary AF was positively associated with prior bleeding, diabetes, ischemic heart disease, and peripheral vascular disease. Mortality was higher for people with secondary vs. primary AF: 1.7% (95%CI 1.5%-2.0%) vs. 0.7% (95%CI 0.6%-0.9%) respectively at 7 days, 4.2% (95%CI 3.9%-4.6%) vs. 2.5% (95%CI 2.2%-2.8%) at 30 days, and 16.1% (95%CI 15.5%-16.7%) vs. 14.6% (13.9%-15.2%) at 1-year post-discharge. The proportion of people who were dispensed anticoagulants within 7 days of discharge was lower for secondary than primary AF (26.9% vs. 68%), and this continued to be lower at one year (41.7% vs. 82.3%, p<0.001 for both comparisons). At 1 year, the risk of stroke in people who were not anticoagulated was 2.2% (95% CI 1.6-2.8%) after primary AF and 1.2% (95% CI 1.0-1.4%) after secondary AF (p< 0.001). Relative to patients with primary AF, the hazard of stroke (adjusted for baseline characteristics and time-varying anticoagulation status) was lower in patients with secondary AF (HR 0.74; CI 0.57-0.97; p= 0.03). Conclusion Secondary AF is associated with higher mortality, less anticoagulation, and a lower risk/ hazard of stroke than primary AF. These data can inform post-discharge care in people with secondary AF.Proportion anticoagulated over timeRisk of stroke without 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 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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».