Abstract 325: Readmission among Hospitalized Patients with Non-Valvular Atrial Fibrillation
Notice bibliographique
Résumé
Background: An important goal of healthcare reform is reducing the need for hospital readmissions. This study examined readmission rates, reasons for readmissions, and risk factors associated with readmissions in non-valvular atrial fibrillation (NVAF) patients, which may facilitate identification of potential gaps in care. Methods: Patients with AF hospitalizations in any diagnostic position in 2004-2009 were extracted from a large, national commercial and Medicare supplemental administrative claims database. Patients with valvular or transient causes of AF, under the age of 18 years, pregnant, or dead at discharge were excluded from the study. All patients had at least 30 days follow up from the index hospitalization discharge date. Readmission rate within 30 days of discharge date was calculated. Reasons for readmission were reported by ICD-9 diagnosis codes in the primary position. ICD-9 diagnosis codes were grouped into common acute conditions (e.g., ischemic heart disease, cerebrovascular disease) and reported. Logistic regression analyses were conducted to identify risk factors for readmission, controlling for patients’ demographic and clinical characteristics. Results: A total of 6439 patients met the study criteria. The overall 30-day readmission rate was 18.0%. Readmission rates for patients with AF as primary or secondary diagnosis in index admissions were 11.8% and 20.3%, respectively (p<0.001). Readmissions on average occurred 9.7 (SD 9.0) days from index admission discharge, with a mean readmission length of stay (LOS) of 7.4 (SD 8.0) days. The 4 most common grouped diagnoses for readmissions were AF (ICD-9 code 427.31, 10.2% of all readmissions), ischemic heart disease (IHD; 410.xx - 414.xx, 7.2%), heart failure (HF; 428.xx, 7.1%), and cerebrovascular disease (CVD; 430.xx - 438.xx, 6.0%). Longer LOS in the index admission, higher Charlson comorbidity index, and emergency room admission for the index admission all significantly increased the likelihood of having a readmission (p<0.001 in all cases). Patients discharged to home from index admission, patients with AF as primary diagnosis in index admissions, and patients living in the South region were less likely to be readmitted (p<0.01 in all cases). Conclusions: Almost one fifth of patients with NVAF were readmitted within 30 days of discharge. AF, IHD, HF, and CVD were the most common reasons for readmission. Identification of risk factors for readmission may assist healthcare providers in targeting good clinical practice aimed at improving quality of care and reducing the need for readmissions.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».