The Role of Combined Muscle Ultrasound and Bioimpedentiometry Parameters for Sarcopenia Diagnosis in a Population of Hospitalized Older Adults.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
26 Jul 2024
Historique:
received: 23 06 2024
revised: 22 07 2024
accepted: 24 07 2024
medline: 10 8 2024
pubmed: 10 8 2024
entrez: 10 8 2024
Statut: epublish

Résumé

For the study of quantitative and qualitative muscle parameters, ultrasound and bioelectric impedance analysis are reliable, non-invasive, and reproducible. The aim of this study was to test the combined role of those techniques for the diagnosis of sarcopenia in a population of hospitalized older males and females. A total of 70 subjects were recruited, including 10 healthy adults and 60 hospitalized elderly patients with a good level of independence and cooperation, with and without sarcopenia. The rectus femoris cross-sectional area (CSA), thickness, echogenicity, and compressibility were measured with ultrasound echography. The phase angles (PhAs) and skeletal muscle mass were calculated by bioimpedence analysis. The muscle quality index (MQI) was calculated as the product of CSA and PhA. Muscle compressibility was greater and PhA was lower in sarcopenic when compared with non-sarcopenic subjects. The threshold values for sarcopenia diagnosis in both sexes of CSA, of PhA, and of the MQI were identified. The obtained CSA values showed an AUC of 0.852 for women and 0.867 for men, PhA of 0.792 in women and 0.898 in men, while MQI was 0.900 for women and 0.969 for men. The newly calculated cut-off values of CSA, PhA, and MQI predicted the presence of sarcopenia with good sensitivity and specificity values. The use of the MQI proved to be more promising than the separate use of CSA and PhA in both male and female subjects.

Sections du résumé

BACKGROUND BACKGROUND
For the study of quantitative and qualitative muscle parameters, ultrasound and bioelectric impedance analysis are reliable, non-invasive, and reproducible. The aim of this study was to test the combined role of those techniques for the diagnosis of sarcopenia in a population of hospitalized older males and females.
METHODS METHODS
A total of 70 subjects were recruited, including 10 healthy adults and 60 hospitalized elderly patients with a good level of independence and cooperation, with and without sarcopenia. The rectus femoris cross-sectional area (CSA), thickness, echogenicity, and compressibility were measured with ultrasound echography. The phase angles (PhAs) and skeletal muscle mass were calculated by bioimpedence analysis. The muscle quality index (MQI) was calculated as the product of CSA and PhA.
RESULTS RESULTS
Muscle compressibility was greater and PhA was lower in sarcopenic when compared with non-sarcopenic subjects. The threshold values for sarcopenia diagnosis in both sexes of CSA, of PhA, and of the MQI were identified. The obtained CSA values showed an AUC of 0.852 for women and 0.867 for men, PhA of 0.792 in women and 0.898 in men, while MQI was 0.900 for women and 0.969 for men.
CONCLUSIONS CONCLUSIONS
The newly calculated cut-off values of CSA, PhA, and MQI predicted the presence of sarcopenia with good sensitivity and specificity values. The use of the MQI proved to be more promising than the separate use of CSA and PhA in both male and female subjects.

Identifiants

pubmed: 39125310
pii: nu16152429
doi: 10.3390/nu16152429
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Alfredo Zanotelli (A)

Section of Geriatric Medicine, Ospedale Santa Maria del Carmine, 38068 Rovereto, Italy.

Andrea P Rossi (AP)

Division of Geriatrics, Department of Medicine, Ospedale Cà Foncello, 31100 Treviso, Italy.

Letizia Del Monte (L)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

Gianluca Vantini (G)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

Giovanni Stabile (G)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

Silvia Urbani (S)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

Anna Giani (A)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

Elena Zoico (E)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

Alessio Babbanini (A)

Division of Geriatrics, Department of Medicine, Dentistry, Pediatric and Gynecology, Healthy Aging Center, University of Verona, 37126 Verona, Italy.

Francesco Fantin (F)

Division of Geriatrics, University of Trento, 38100 Trento, Italy.

Mauro Zamboni (M)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

Gloria Mazzali (G)

Department of Medicine, Geriatrics Division, University of Verona, 37100 Verona, Italy.

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Classifications MeSH