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Abstract Background: Elderly patients (≥65 years) with respiratory failure in the ICU have high mortality. Malnutrition worsens outcomes but is often overlooked. This study investigates nutritional status as a predictor of 28-day mortality and develops an interpretable machine learning-based model for early risk stratification. Materials and methods: This multicenter retrospective study enrolled elderly patients (≥65 years) with respiratory failure.
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