Bioelectrical‐Impedance‐Analysis in the Perioperative Nutritional Assessment and Prediction of Complications in Head‐and‐Neck Malignancies
2025

Using Bioelectrical Impedance Analysis to Assess Nutrition in Head and Neck Cancer Surgery

Sample size: 61 publication 10 minutes Evidence: moderate

Author Information

Author(s): Lai Yi Ting MBBS (Hons), Peh Hui Yee BNutrDiet (Hons), Binte Abdul Kadir Hanis BSc, Lee Chun Fan PhD, Iyer N. Gopalakrishna FRCS (Gen), Wong Ting Hway FAMS, Tay Gerald Ci An FRCS (Edinburgh)

Primary Institution: Singapore General Hospital

Hypothesis

Can Bioelectrical Impedance Analysis (BIA) parameters correlate with Subjective Global Assessment (SGA) scores and predict perioperative complications in patients undergoing head-and-neck surgery?

Conclusion

BIA is a promising preoperative tool for detecting malnutrition and identifying patients at risk of developing perioperative pneumonia in head-and-neck surgery.

Supporting Evidence

  • 40.6% of patients were well-nourished, while 53.1% were moderately malnourished.
  • BIA parameters showed significant differences across SGA categories.
  • BIA was predictive of perioperative pneumonia among other complications.

Takeaway

Doctors can use a special test called Bioelectrical Impedance Analysis to check if patients with head and neck cancer are getting enough nutrition before surgery, which can help prevent problems after surgery.

Methodology

Patients underwent SGA scoring and BIA preoperatively, with statistical tests to evaluate associations between BIA parameters and complications.

Potential Biases

Potential bias due to the subjective nature of SGA and the small sample size may affect the robustness of findings.

Limitations

The study had a small patient cohort size from a single institution and lacked long-term follow-up data.

Participant Demographics

45 males and 16 females, median age 62 years, with most diagnosed with squamous cell carcinoma.

Statistical Information

P-Value

p=0.006 for Wellness Marker, p=0.008 for phase angle

Confidence Interval

95% CI for sensitivity and specificity provided in the results

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1002/oto2.70046

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