Phase angle assessment by bioelectrical impedance analysis and its predictive value for malnutrition risk in

Hacer Dogan Varan1, Basak Bolayir2, Ozgur Kara3

  • 1Division of Geriatric Medicine, Department of Internal Medicine, Hacettepe University School of Medicine, 06100, Ankara, Turkey. drhacerdogan84@hotmail.com.

Insights

Phase angle (PhA), a measure of cell membrane integrity, can predict malnutrition risk in older hospitalized patients. Lower PhA values indicate a higher risk, aiding in early nutritional intervention for this vulnerable group.

Area of Science:

  • Geriatric Medicine
  • Nutritional Science
  • Biomarkers

Background:

  • Phase angle (PhA) from bioelectrical impedance analysis (BIA) reflects cell membrane integrity and body cell mass.
  • Low PhA is linked to increased nutritional risk across patient populations.
  • Limited research exists on PhA and nutritional risk in hospitalized geriatric patients.

Purpose of the Study:

  • To assess the predictive value of PhA for malnutrition risk in hospitalized geriatric patients.
  • To determine if PhA can serve as an independent indicator of malnutrition risk in this demographic.

Main Methods:

  • A cross-sectional study involving 122 hospitalized geriatric patients.
  • Bioelectrical impedance analysis (BIA) and comprehensive geriatric assessments were conducted within 48 hours of admission.
  • Nutritional risk was assessed using the NRS-2002 scale, with PhA values compared between risk groups.

Main Results:

  • Patients identified with malnutrition risk exhibited significantly lower PhA values (p=0.003).
  • Receiver Operating Characteristic (ROC) curve analysis identified an optimal PhA cut-off of 4.7° for malnutrition risk.
  • Body Mass Index (BMI), prealbumin, PhA, and Mini Mental State Examination (MMSE) scores were significant predictors of malnutrition risk.

Conclusions:

  • Phase angle (PhA) demonstrates utility as an independent predictor of malnutrition risk in hospitalized geriatric patients.
  • PhA measurement offers a valuable, non-invasive tool for early identification of nutritional risk in this population.
Abstract

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