Appendicular Skeletal Muscle Mass Prediction in People Living With HIV: A Cross-Sectional Study.
André Pereira Dos SantosAnderson Marliere NavarroLeonardo Santos Lopes da SilvaKristine M ErlandsonAllison R WebelVitor OliveiraPedro Pugliesi AbdallaThiago Cândido AlvesMárcio Fernando Tasinafo JúniorAna Cláudia Rossini VenturiniEuripedes Barsanulfo Gonçalves GomideJéssica Fernanda Correa CordeiroDenise de AndradeDalmo Roberto Lopes MachadoPublished in: The Journal of the Association of Nurses in AIDS Care : JANAC (2023)
People living with HIV (PWH) experience an accelerated aging process. There is no anthropometric predictive model for appendicular skeletal muscle mass (ASM) in PWH. This study develops anthropometric models to predict and validate ASM measured by dual energy x-ray absorptiometry (DXA) in PWH; DXA scans were obtained for 125 PWH (male = 74; age >18 years) on antiretroviral therapy. Fat mass ratio was used for lipodystrophy diagnosis. A multiple stepwise linear regression considered ASMDXA as the dependent variable and validated by PRESS method. A high power of determination and low standard estimate error were found for ASMDXA-predicted (adjusted r2 = 0.84 to 0.87, standard estimate error = 1.7-1.6 kg) and high PRESS validation coefficients (Q2PRESS = 0.84-0.86, SPRESS = 1.7-1.6 kg). The variables included were lipodystrophy diagnosis, medial calf circumference, sex, and total body weight. We present novel, reliable, and validated anthropometric models to predict ASMDXA in PWH.
Keyphrases
- dual energy
- body weight
- computed tomography
- body composition
- antiretroviral therapy
- image quality
- contrast enhanced
- human immunodeficiency virus
- hiv infected
- body mass index
- magnetic resonance imaging
- adipose tissue
- hiv aids
- physical activity
- bone mineral density
- hiv infected patients
- hiv positive
- hepatitis c virus
- mass spectrometry
- solid phase extraction
- molecularly imprinted
- south africa
- simultaneous determination
- postmenopausal women