Solomon Yu1, Sarah Appleton2, Ian Chapman2, Robert Adams2, Gary Wittert2, Thavarajah Visvanathan3, Renuka Visvanathan4. 1. Aged and Extended Care Services, The Queen Elizabeth Hospital, Central Adelaide Local Health Network, South Australia, Australia; Adelaide Geriatrics Training and Research with Aged Care (G-TRAC) Centre, School of Medicine, Faculty of Health Science, University of Adelaide, Adelaide, South Australia, Australia; School of Medicine, Faculty of Health Science, University of Adelaide, Adelaide, South Australia, Australia. Electronic address: solomon.yu@adelaide.edu.au. 2. School of Medicine, Faculty of Health Science, University of Adelaide, Adelaide, South Australia, Australia. 3. Department of Anaesthesia, The Queen Elizabeth Hospital, Central Adelaide Local Health Network, South Australia, Australia. 4. Aged and Extended Care Services, The Queen Elizabeth Hospital, Central Adelaide Local Health Network, South Australia, Australia; Adelaide Geriatrics Training and Research with Aged Care (G-TRAC) Centre, School of Medicine, Faculty of Health Science, University of Adelaide, Adelaide, South Australia, Australia; School of Medicine, Faculty of Health Science, University of Adelaide, Adelaide, South Australia, Australia.
Abstract
OBJECTIVES: Sarcopenia is the presence of low muscle mass and poor physical function. We have developed an anthropometric prediction equation (PE). We compared the accuracy of our previously developed anthropometric prediction equation (PE) to dual absorptiometry x-ray (DXA) in predicting low muscle mass and sarcopenia. DESIGN: Cross-sectional study design. SETTING:Community dwelling. PARTICIPANTS: Men and women aged 65 years and older. MEASUREMENTS: Gender-specific low muscle mass cutoffs were identified using the lowest 20% of the skeletal muscle index (SMI) where muscle mass was determined using PE in 611 men and 375 women aged 65 years and older. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of PE derived low muscle mass were compared with DXA-derived low muscle mass. The cohort was randomized into a development and validation group to identify various cutoffs for low muscle mass via the PE method and test its performance against the DXA method. RESULTS: The PE cutoff for low muscle mass was less than 8.05 kg/m(2) in men and less than 5.35 kg/m(2) in women. On validation of various cutoffs with improving sensitivity values from 70% to 97%, specificity increased from 45.5% to 85.7%, PPV increased from 31.3% to 56.9%, and NPV increased from 93.0% to 98.6% in men. In women, specificity improved from 42% to 72%, PPV reduced from 56.9% to 31.3%, and NPV improved from 93.0% to 98.6%. When the PE method was combined with a measure of muscle performance, a similar pattern of performance was observed. CONCLUSION: The PE when combined with a measure of muscle function to create a screening tool performs as a "rule-out" test with high sensitivity values and NPVs.
RCT Entities:
OBJECTIVES:Sarcopenia is the presence of low muscle mass and poor physical function. We have developed an anthropometric prediction equation (PE). We compared the accuracy of our previously developed anthropometric prediction equation (PE) to dual absorptiometry x-ray (DXA) in predicting low muscle mass and sarcopenia. DESIGN: Cross-sectional study design. SETTING: Community dwelling. PARTICIPANTS: Men and women aged 65 years and older. MEASUREMENTS: Gender-specific low muscle mass cutoffs were identified using the lowest 20% of the skeletal muscle index (SMI) where muscle mass was determined using PE in 611 men and 375 women aged 65 years and older. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of PE derived low muscle mass were compared with DXA-derived low muscle mass. The cohort was randomized into a development and validation group to identify various cutoffs for low muscle mass via the PE method and test its performance against the DXA method. RESULTS: The PE cutoff for low muscle mass was less than 8.05 kg/m(2) in men and less than 5.35 kg/m(2) in women. On validation of various cutoffs with improving sensitivity values from 70% to 97%, specificity increased from 45.5% to 85.7%, PPV increased from 31.3% to 56.9%, and NPV increased from 93.0% to 98.6% in men. In women, specificity improved from 42% to 72%, PPV reduced from 56.9% to 31.3%, and NPV improved from 93.0% to 98.6%. When the PE method was combined with a measure of muscle performance, a similar pattern of performance was observed. CONCLUSION: The PE when combined with a measure of muscle function to create a screening tool performs as a "rule-out" test with high sensitivity values and NPVs.
Authors: Candace Parker-Autry; Denise K Houston; Julia Rushing; Holly E Richter; Leslee Subak; Alka M Kanaya; Stephen B Kritchevsky Journal: Obstet Gynecol Date: 2017-11 Impact factor: 7.661
Authors: Charlotte Beaudart; Eugène McCloskey; Olivier Bruyère; Matteo Cesari; Yves Rolland; René Rizzoli; Islène Araujo de Carvalho; Jotheeswaran Amuthavalli Thiyagarajan; Ivan Bautmans; Marie-Claude Bertière; Maria Luisa Brandi; Nasser M Al-Daghri; Nansa Burlet; Etienne Cavalier; Francesca Cerreta; Antonio Cherubini; Roger Fielding; Evelien Gielen; Francesco Landi; Jean Petermans; Jean-Yves Reginster; Marjolein Visser; John Kanis; Cyrus Cooper Journal: BMC Geriatr Date: 2016-10-05 Impact factor: 3.921