Nomogram model for screening the risk of frailty in older adult atrial fibrillation patients: a cross-sectional study
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View abstract on PubMed
Summary
This summary is machine-generated.Frailty is common in atrial fibrillation (AF) patients. A new nomogram model identifies key risk factors like age and sleep disruption, enabling early detection of frailty in older adults.
Area Of Science
- Gerontology
- Cardiology
- Clinical Prediction Models
Background
- Frailty is prevalent in patients with atrial fibrillation (AF).
- Specific risk factors for frailty in AF patients require further investigation.
- A predictive model is needed to identify high-risk individuals.
Purpose Of The Study
- To explore risk factors for frailty in older adult AF patients.
- To develop a nomogram model for predicting frailty risk in this population.
Main Methods
- Cross-sectional study of 337 hospitalized AF patients (age > 60).
- Data included demographics, disease characteristics, sleep, mental health, and frailty measures.
- LASSO and ordinal regression identified risk factors; a nomogram was constructed and validated.
Main Results
- 23.1% of AF patients were frail, 52.2% pre-frail.
- Identified risk factors: age, gender, coronary heart disease, chronic conditions, sleep disruption, mental health.
- Nomogram showed strong discriminative ability (C-index 0.821 internal, 0.819 external) with good calibration.
Conclusions
- The developed nomogram is a practical tool for assessing frailty risk in AF patients.
- Aids clinicians in identifying high-risk individuals for targeted interventions.
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