Q Chen1, Q Hao, Y Ding, B Dong. 1. Professor Birong Dong MD, Sichuan University West China Hospital, Department of Geriatrics, China, birongdong2018@163.com.
Abstract
OBJECTIVES: The goal of the present study was to assess the relationship between sarcopenia and prealbumin levels among hospitalized patients ages 60 and older. DESIGN: Cross-sectional study. SETTING: The geriatric wards in Guizhou Provincial People's Hospital, Guiyang. Guizhou, China. MEASUREMENTS: Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) criteria, which consist of three components: low muscle mass, assessed based on an index of appendicular skeletal mass/height2 <7.0kg/m2 for men and <5.4kg/m2 for women; low muscle strength, defined as handgrip strength <26kg for men and <18kg for women; and low physical performance, defined as gait speed <0.8m/s. Using these criteria, sarcopenia was defined as presence of low muscle mass in addition to low muscle strength and/or low physical performance. Prealbumin levels and other variables were considered as being independent variables in an effort to evaluate any potential associations between these factors and sarcopenia status using non-adjusted and multivariate-adjusted regression models. RESULTS: The overall prevalence of sarcopenia was 60.17%, affecting 65 (70.65%) men and 6 (23.08%) women in the present study. Age, body mass index (BMI), and prealbumin levels were each independently associated with sarcopenia (p<0.05). In a multivariate model, after adjusting for all potential covariates, prealbumin levels remained significantly associated with sarcopenia incidence, with an inflection point of 265.9mg/L. The effect sizes and the confidence intervals on the left and right sides of this inflection point were 0.94 (0.90 to 0.99) and 1.07 (0.93 to 1.23), respectively. CONCLUSION: Among older Chinese inpatients in the present study, prealbumin levels were negatively correlated with sarcopenia incidence, when prealbumin levels were below 265.9mg/L.
OBJECTIVES: The goal of the present study was to assess the relationship between sarcopenia and prealbumin levels among hospitalized patients ages 60 and older. DESIGN: Cross-sectional study. SETTING: The geriatric wards in Guizhou Provincial People's Hospital, Guiyang. Guizhou, China. MEASUREMENTS: Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) criteria, which consist of three components: low muscle mass, assessed based on an index of appendicular skeletal mass/height2 <7.0kg/m2 for men and <5.4kg/m2 for women; low muscle strength, defined as handgrip strength <26kg for men and <18kg for women; and low physical performance, defined as gait speed <0.8m/s. Using these criteria, sarcopenia was defined as presence of low muscle mass in addition to low muscle strength and/or low physical performance. Prealbumin levels and other variables were considered as being independent variables in an effort to evaluate any potential associations between these factors and sarcopenia status using non-adjusted and multivariate-adjusted regression models. RESULTS: The overall prevalence of sarcopenia was 60.17%, affecting 65 (70.65%) men and 6 (23.08%) women in the present study. Age, body mass index (BMI), and prealbumin levels were each independently associated with sarcopenia (p<0.05). In a multivariate model, after adjusting for all potential covariates, prealbumin levels remained significantly associated with sarcopenia incidence, with an inflection point of 265.9mg/L. The effect sizes and the confidence intervals on the left and right sides of this inflection point were 0.94 (0.90 to 0.99) and 1.07 (0.93 to 1.23), respectively. CONCLUSION: Among older Chinese inpatients in the present study, prealbumin levels were negatively correlated with sarcopenia incidence, when prealbumin levels were below 265.9mg/L.
Authors: Alfonso J Cruz-Jentoft; Francesco Landi; Eva Topinková; Jean-Pierre Michel Journal: Curr Opin Clin Nutr Metab Care Date: 2010-01 Impact factor: 4.294
Authors: W N Kernan; C M Viscoli; L M Brass; J P Broderick; T Brott; E Feldmann; L B Morgenstern; J L Wilterdink; R I Horwitz Journal: N Engl J Med Date: 2000-12-21 Impact factor: 91.245
Authors: M J Kaiser; J M Bauer; C Ramsch; W Uter; Y Guigoz; T Cederholm; D R Thomas; P Anthony; K E Charlton; M Maggio; A C Tsai; D Grathwohl; B Vellas; C C Sieber Journal: J Nutr Health Aging Date: 2009-11 Impact factor: 4.075
Authors: Seok Won Park; Bret H Goodpaster; Jung Sun Lee; Lewis H Kuller; Robert Boudreau; Nathalie de Rekeneire; Tamara B Harris; Stephen Kritchevsky; Frances A Tylavsky; Michael Nevitt; Yong-wook Cho; Anne B Newman Journal: Diabetes Care Date: 2009-06-23 Impact factor: 19.112
Authors: Kari Luotola; Satu Jyväkorpi; Annele Urtamo; Kaisu H Pitkälä; Mika Kivimäki; Timo E Strandberg Journal: Age Ageing Date: 2020-02-27 Impact factor: 10.668