The simpler modified fried frailty scale predicts 2-year mortality in older adults with heart failure: a pilot study
Notice bibliographique
Résumé
OBJECTIVE: The Simpler Modified Fried Frailty Scale (SMFFS) has recently been developed from the original Fried scale to ease its use in clinical practice, by transforming the items requiring measurements into the self-reported inquiries. Its predictive validity needs to be clarified, especially in populations with a high prevalence of frailty, such as patients with heart failure (HF). Primary aim of this study is to find out the prevalence of frailty in older patients with HF by using SMFFS and show its concordance with other frailty assessment tools. Secondary aim is to reveal whether SMFFS is useful to predict mortality in follow-up. METHOD: This is a prospective, follow-up study including older adults (≥ 65 years) with HF. SMFFS was used to assess frailty phenotype and presence of ≥ 3 items was accepted as frailty. FRAIL scale, the Study of Osteoporosis Fractures (SOF) index, and Edmonton Frailty Scale (EFS) were alternatively used to study the correlation of SMFFS with different scales. Cox-regression analysis was performed to identify whether SMFFS-defined frailty could predict mortality in follow-up, with adjusting for a list of clinical characteristics and geriatric syndromes. FINDINGS: Among 101 patients with HF, 44 (42.8%) were female. Mean age was 75.8 ± 7.6 and frailty prevalence was 63.4% according to SMFFS. SMFFS showed a strong correlation with the other frailty scales. In a median follow-up of 759 days, cardiomegaly, increased pulmonary artery pressure (PAP) and frailty defined by SMFFS were the only predictors of mortality in older adults with HF after adjustments for age, falls in the previous year, undernutrition, probable sarcopenia, functional impairments, and quality of life [HR (95% CI) were 3.88 (1.05-14.3), 1.05 (1.01-1.09), and 10.96 (1.07-112.05) (p = 0.027); for older age, PAP, and frailty, respectively]. CONCLUSIONS: As a self-reported screening tool, SMFFS was independently associated with mortality in a median follow-up of two years. Frailty assessment recommended by the guidelines for risk stratification in patients with HF seems to be more effectively integrated into routine HF practice with the use of the easy and practical SMFFS. Further large scale studies are needed to support the predictive validity of SMFFS in older patients with HF.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».