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Rectus femoris muscle mass evaluation by ultrasound: facilitating sarcopenia diagnosis in pre-dialysis chronic kidney disease stages
- Source :
- Clinics, Repositório Institucional da UFJF, Universidade Federal de Juiz de Fora (UFJF), instacron:UFJF, Clinics, Vol 73, Iss 0 (2018), Clinics, Volume: 73, Article number: e392, Published: 29 OCT 2018
- Publication Year :
- 2018
- Publisher :
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 2018.
-
Abstract
- OBJECTIVES: We evaluated the validity and reliability of ultrasonography measurement of rectus femoris cross-sectional area compared to computed tomography in patients in pre-dialysis chronic kidney disease and analyzed the association between these measurements and the diagnosis of sarcopenia. METHODS: One hundred patients with nondialysis chronic kidney disease were evaluated. Sarcopenia was defined using the criteria of the Foundation for the National Institutes of Health Sarcopenia Project (FNIH). The rectus femoris cross-sectional area was evaluated using ultrasonography and computed tomography. RESULTS: The prevalence of sarcopenia was 29% according to the FNIH criteria. The difference in mean rectus femoris cross-sectional area by ultrasonography and computed tomography was 3.97 mm, with a strong correlation between the two methods (p
- Subjects :
- Male
Sarcopenia
Cross-sectional study
030232 urology & nephrology
Rectus femoris muscle
Quadriceps Muscle
03 medical and health sciences
0302 clinical medicine
Ultrasound
medicine
Humans
030212 general & internal medicine
Renal Insufficiency
Renal insufficiency
Renal Insufficiency, Chronic
Chronic
Tomography
Aged
Ultrasonography
lcsh:R5-920
business.industry
Pre-dialysis
Reproducibility of Results
General Medicine
medicine.disease
musculoskeletal system
Cross-Sectional Studies
Lean body mass
Female
Original Article
Nuclear medicine
business
lcsh:Medicine (General)
Tomography, X-Ray Computed
Kidney disease
Subjects
Details
- Language :
- English
- ISSN :
- 19805322 and 18075932
- Volume :
- 73
- Database :
- OpenAIRE
- Journal :
- Clinics
- Accession number :
- edsair.doi.dedup.....1d3bb8e2669e6924a74f2bd83b78eb90