Arrhythmias & electrophysiology
Development of a Multivariable Prediction Model to Estimate Probability of Sleep-Disordered-Breathing in Patients With Atrial Fibrillation (AF): MOODS-AF
Authors' conclusion
The MOODS score provides an individualized and accurate probability of significant SDB in patients with AF.
Study context
- Population
- Consecutive ambulatory patients with AF undergoing polysomnographyderivation 442, validation 409
- Comparison
- Prediction model vs MOODS
- Outcome
- Discrimination for significant SDB (apnea-hypopnea-index ≥15/h)
Methodological detailsprospectively collected data, consecutive patients
- Prospectively collected data
- Consecutive patients
Performance
As reported in the abstract
Discrimination for significant SDB (AHI ≥15/h), external validation
| Test or model | C-statistic | 95% CI | Sensitivity, score ≤1 (rule-out) | Specificity, score ≥5 (rule-in) |
|---|---|---|---|---|
| Model | 0.75 | 0.71-0.80 | ||
| MOODS | 0.73 | 0.68-0.77 | 100% | 96% |
C-statistic
Model0.75
MOODS0.73
95% CI
Model0.71-0.80
MOODS0.68-0.77
Sensitivity, score ≤1 (rule-out)
Model— not stated in the abstract
MOODS100%
Specificity, score ≥5 (rule-in)
Model— not stated in the abstract
MOODS96%
Further findings
Prevalence of significant sleep-disordered breathing (SDB)
- Derivation cohort
- 34%
- Validation cohort
- 54%
Original publication
Development of a Multivariable Prediction Model to Estimate Probability of Sleep-Disordered-Breathing in Patients With AF: MOODS-AF. JACC Clin Electrophysiol. Published 4 December 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →