Improved assessment of body cell mass by segmental bioimpedance analysis in malnourished subjects and acromegaly

Clin Nutr. 2003 Apr;22(2):167-74. doi: 10.1054/clnu.2002.0617.

Abstract

Background: Estimation of body cell mass (BCM) has been regarded valuable for the assessment of malnutrition.

Aim: To investigate the value of segmental bioelectrical impedance analysis (BIA) for BCM estimation in malnourished subjects and acromegaly.

Methods: Nineteen controls and 63 patients with either reduced (liver cirrhosis without and with ascites, Cushing's disease) or increased BCM (acromegaly) were included. Whole-body and segmental BIA (separately measuring arm, trunk, leg) at 50 kHz was compared with BCM measured by total-body potassium. Multiple regression analysis was used to develop specific equations for BCM in each subgroup.

Results: Compared to whole-body BIA equations, the inclusion of arm resistance improved the specific equation in cirrhotic patients without ascites and in Cushing's disease resulting in excellent prediction of BCM (R(2) = 0.93 and 0.92, respectively; both P<0.001). In acromegaly, inclusion of resistance and reactance of the trunk best described BCM (R(2) = 0.94, P<0.001). In controls and in cirrhotic patients with ascites, segmental impedance parameters did not improve BCM prediction (best values obtained by whole-body measurements: R(2)=0.88 and 0.60; P<0.001 and <0.003, respectively).

Conclusion: Segmental BIA improves the assessment of BCM in malnourished patients and acromegaly, but not in patients with severe fluid overload.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acromegaly / complications
  • Acromegaly / diagnosis
  • Acromegaly / physiopathology*
  • Adult
  • Anthropometry
  • Ascites / complications
  • Ascites / physiopathology
  • Body Composition*
  • Body Water / metabolism
  • Cushing Syndrome / physiopathology
  • Electric Impedance
  • Female
  • Humans
  • Liver Cirrhosis / complications
  • Liver Cirrhosis / physiopathology
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Nutrition Disorders / diagnosis
  • Nutrition Disorders / etiology
  • Nutrition Disorders / physiopathology*
  • Nutritional Status
  • Potassium / analysis

Substances

  • Potassium