BACKGROUND

This study examined the utility of the phase angle (PhA) in predicting malnutrition risk and 6-month mortality in older patients with multimorbidity.

METHODS

We conducted a retrospective analysis of 104 hospitalized older adults with multiple chronic conditions. Data on clinical parameters, body composition, and nutritional status (via Nutritional Risk Screening 2002) were analyzed. Pearson's correlation analysis and receiver operating characteristic analysis were used to identify the optimal PhA cutoff for malnutrition risk. Mortality and malnutrition were compared between the low and high PhA groups.

RESULTS

PhA was significantly correlated with age, BMI, hemoglobin, albumin, triglycerides, and the extracellular water/total body water ratio (all < 0.05). The optimal PhA cutoff was 3.15°, which had 62% sensitivity and 79% specificity for malnutrition prediction. Patients in the low PhA group had significantly higher rates of malnutrition (80.85% vs 40.35%, < 0.05) and mortality (29.79% vs 3.5%, < 0.05).

CONCLUSION

PhA is a clinically valuable tool for assessing malnutrition risk and predicting mortality in older patients with multimorbidity. It enables early identification and intervention, improving patient outcomes.