Muscle Biomarkers in Colorectal Cancer Outpatients: Agreement Between Computed Tomography, Bioelectrical Impedance Analysis, and Nutritional Ultrasound
2024

Muscle Biomarkers in Colorectal Cancer Patients: Comparing Different Assessment Techniques

Sample size: 156 publication 10 minutes Evidence: moderate

Author Information

Author(s): Jiménez-Sánchez Andrés, Soriano-Redondo María Elisa, Roque-Cuéllar María del Carmen, García-Rey Silvia, Valladares-Ayerbes Manuel, Pereira-Cunill José Luis, García-Luna Pedro Pablo, Esposito Gabriella

Primary Institution: Hospital Universitario Virgen del Rocío, Seville, Spain

Hypothesis

All techniques may detect similar patterns in the study sample, but direct interchangeability may not exist neither intra-technique nor inter-technique.

Conclusion

Bedside techniques adequately detected patterns in skeletal muscle biomarkers, but lacked agreement with a reference technique in the study sample using the current methodology.

Supporting Evidence

  • Computed tomography is a gold-standard body composition technique.
  • Bedside techniques like BIA and nutritional ultrasound are faster and cheaper.
  • Muscle atrophy is part of the GLIM diagnostic criteria for malnutrition.
  • Obesity was associated with higher muscle mass in all techniques.
  • Participants with malnutrition had worse muscle biomarkers.

Takeaway

This study looked at how well different methods can measure muscle health in cancer patients, finding that while they can show similar trends, they don't always agree with each other.

Methodology

This cross-sectional study included 156 colorectal cancer outpatients who underwent CT, BIA, and nutritional ultrasound on the same day.

Potential Biases

Potential bias due to the inclusion of patients with possible BIA artifacts.

Limitations

The study was conducted in a single center, which may limit the generalizability of the findings.

Participant Demographics

Median age was 65.2 years, with 48.1% female participants; 26.3% had obesity and 7.0% had malnutrition.

Statistical Information

P-Value

p < 2.2 × 10−16

Confidence Interval

95%CI: 0.705, 0.825

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/nu16244312

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