Frontiers in Nutrition (May 2017)

Anthropometric and Laboratory Variables Related to Weight Loss—Comparison of Heart Failure Patients with Tumor Patients and Control Population

  • Tomislav Letilovic,
  • Radovan Vrhovac,
  • Željko Krznarić

DOI
https://doi.org/10.3389/fnut.2017.00018
Journal volume & issue
Vol. 4

Abstract

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BackgroundBody weight loss is an important feature of heart failure (HF) and tumors. It is related to both reduced survival and adverse reactions to therapy in both of these conditions. The mechanisms of body weight loss in patients with HF and tumors are considered to be similar. Yet, studies comparing those two populations are generally lacking. The aim of this study was to compare anthropometric and laboratory data, related to weight loss, between patients with chronic HF and patients with different tumors as well as control population.MethodsLaboratory and anthropometric data on 143 consecutive patients with chronic HF and malignant diseases as well as data for 20 controls were collected.ResultsPatients with HF had lower levels of C-reactive protein (CRP) and albumin compared to controls. Anthropometric measurements revealed lower body mass index (BMI), muscle strength, mid-arm circumference, and waist circumference in patients with HF compared to controls. Measurements of biceps, triceps, subscapular, and suprailiac skinfolds were also lower in HF group. Compared to solid tumor group, HF patients had lower levels of CRP and higher levels of hemoglobin. Solid tumor patients had lower values of BMI and subscapular skinfold thickness, as well as higher muscle strength compared to HF group. Finally, compared to patients with solid hematological tumors, HF group had lower levels of albumin, lower muscle strength, as well as lower mid-arm circumference.ConclusionWe found differences in anthropometric and laboratory features, related to weight loss, in patients with HF compared to control population that were expected. On the other hand, observed differences in HF group compared to patients with various tumors could imply different pathophysiological mechanisms of weight loss between those groups. Such data could serve as a cornerstone for studies with larger numbers of patients and deeper pathophysiological insight.

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