Abstract 215: Use of Chronic Medications among Patients with Non-Valvular Atrial Fibrillation
Notice bibliographique
Résumé
Introduction: Patients with non-valvular atrial fibrillation (NVAF) typically have other chronic comorbid conditions. However, little is known about the dosing regimens of medications that are prescribed to NVAF patients. Objectives: Estimate the proportion of real world NVAF patients with at least 1 CHADS 2 risk factor for stroke that may take chronic medications more than once per day. Methods: Using claims data from the Truven Health MarketScan® Commercial Claims and Encounters database, which contains health insurance claims data on a national sample of privately insured individuals, we identified NVAF patients with CHADS 2 ≥ 1 during the period January 1, 2008 through September 30, 2012. Chronic medications were identified as those for which the patient had at least a 90 day supply during the study period, excluding oral anticoagulants. A “medication portfolio” was developed for each NVAF patient characterizing the chronic prescription medications taken on a regular basis. Information from the medication’s FDA approved product label and pharmacy claims data were used to add detail to each patient’s medication list. This detail included the medication name, recommended dosage and administration, and prescribed strength, quantity, and days supply. Patients were identified as taking medications multiple times per day if they were prescribed a medication with a >1 time per day dosing regimen per the product label, or one medication typically taken in the morning and another medication typically taken in the evening, or, in cases where the typical administration was unclear from the label or from clinical practice, were prescribed more than 1 pill per day, while the total daily strength of the medication was equal to an available strength of a single pill. The proportion of NVAF patients that took medications multiple times per day was then determined. Results: Overall, 324,172 NVAF patients were selected for the study. The mean age of the patients was 75.3 years and over half (54.6%) of the patients were male. Of these patients, 299,716 (92.5%) were prescribed chronic medications and 215,527 (66.5%) were identified as possibly taking medications more than once per day. Overall, among patients who were prescribed chronic medications, 71.9% were identified as possibly taking their medications more than once per day. Conclusion: Patients with NVAF typically have other chronic conditions and a large proportion of these patients may be on treatment regimens that require taking medications more than once per day.
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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».