The D-DASH prediction model demonstrated moderate discrimination (AUC 0.749) for predicting eating difficulty at discharge in patients hospitalized with acute heart failure.
Observational (n=644)
No
The D-DASH score provides a practical, internally validated tool to predict eating difficulty at discharge in patients hospitalized with acute heart failure, enabling early targeted interventions.
Effect estimate: AUC 0.749 (95% CI 0.700-0.797)
Background: Eating difficulty is an important complication in patients with acute heart failure (AHF), but no AHF-specific tool has been established for the early prediction of eating difficulty. We aimed to develop and internally validate the Development of eating Difficulty Assessment Score in acute Heart failure (D-DASH) using variables available during early hospitalization.
Matsuo et al. (Mon,) conducted a observational in Acute heart failure (n=644). D-DASH prediction model was evaluated on Eating difficulty at discharge (Food Intake LEVEL Scale ≤ 8) (AUC 0.749, 95% CI 0.700-0.797). The D-DASH prediction model demonstrated moderate discrimination (AUC 0.749) for predicting eating difficulty at discharge in patients hospitalized with acute heart failure.