In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 9 ( 2021-9-14), p. e0257446-
Abstract:
Calf circumference (CC) has been established as a marker of muscle mass (MM) with good performance for predicting survival in individuals with cancer. The study aims to determine the prevalence of sarcopenia according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria and to evaluate the accuracy of sarcopenia using low CC relative to MM assessment by computed tomography (CT) at third lumbar vertebra level (L3) as a reference. Cross-sectional study with cancer patients aged ≥ 60 years. Data included socio-demographic, clinical and anthropometric variables. MM was assessed by CC and by CT images at the L3. Sarcopenia was diagnosed according to the EWGSOP2 criteria: a) low handgrip strength (HGS) + reduced MM evaluated by CT; and b) low HGS + low CC. Pearson’s correlation, accuracy, sensitivity, specificity, positive predictive and negative predictive value were analyzed. A total of 108 patients were evaluated, age of 70.6 ± 7.4 years (mean ± standard deviation). The prevalence of sarcopenia was of 24.1% (low MM) and 25.9% (low CC). The Kappa test showed a substantial agreement (K = 0.704), 81% sensitivity, and 92% specificity. Although the EWGSOP2 advises that we should use CC measures in the algorithm for sarcopenia when no other MM diagnostic methods are available, the findings allow the use of CC instead of MM by CT in cancer patients.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0257446
DOI:
10.1371/journal.pone.0257446.g001
DOI:
10.1371/journal.pone.0257446.g002
DOI:
10.1371/journal.pone.0257446.t001
DOI:
10.1371/journal.pone.0257446.t002
DOI:
10.1371/journal.pone.0257446.t003
DOI:
10.1371/journal.pone.0257446.s001
DOI:
10.1371/journal.pone.0257446.s002
DOI:
10.1371/journal.pone.0257446.r001
DOI:
10.1371/journal.pone.0257446.r002
DOI:
10.1371/journal.pone.0257446.r003
DOI:
10.1371/journal.pone.0257446.r004
DOI:
10.1371/journal.pone.0257446.r005
DOI:
10.1371/journal.pone.0257446.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
Permalink