Darren Yuen Zhang Tan, Wei Fun Cheong, Shanshan Ji, Amaury Cazenave-Gassiot, Jane Cauley, Liang Shen, Eu-Leong Yong
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Our aim was to develop a new D<sub>3</sub>Cr algorithm incorporating anthropomorphic variables that can estimate fat-free muscle mass, using magnetic resonance imaging (MRI) as the reference standard.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The Integrated Women's Health Programme (IWHP) enrolled 1201 healthy community-dwelling women, aged 45–69 years at baseline, who attended gynaecological clinics from 2014 to 2016. Between February 2021 and July 2023, 894 participants were recontacted, and 451 of the respondents agreed to ingest 30 mg of D<sub>3</sub>Cr and had available MRI measurements of fat-free thigh and erector spinae volumes. Urinary levels of creatine, creatinine and D<sub>3</sub>-creatinine levels were measured by tandem mass spectrometry 4 days after ingestion of D<sub>3</sub>Cr. Muscle mass was estimated using the two D<sub>3</sub>Cr algorithms (D<sub>3</sub>Cr<sub>original</sub> and D<sub>3</sub>Cr<sub>modified</sub>) in current use and a newly developed algorithm (D<sub>3</sub>Cr<sub>Ht-Wt</sub>) incorporating anthropometric variables that estimate fat-free muscle volumes. Pearson's correlation analyses were used to compare the performances of the D<sub>3</sub>Cr algorithms with MRI. Bland–Altman analysis was used to ascertain agreement between D<sub>3</sub>Cr<sub>Ht-Wt</sub> and MRI.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Participants (<i>n</i> = 451, mean age 62.6 ± 5.9) were randomly divided into training (<i>n</i> = 367) and validation (<i>n</i> = 84) cohorts. In the training cohort, stepwise multivariable regression modelling indicated that age (<i>β</i> = −0.011, <i>p</i> = 0.076) and ethnicity (<i>β</i> = 0.154, <i>p</i> = 0.317 [Indian]; <i>β</i> = −0.012, <i>p</i> = 0.942 [Malay] compared to Chinese) were not associated with fat-free muscle volumes. In the final model, D<sub>3</sub>Cr-determined creatine pool size (<i>β</i> = 0.032, <i>p</i> < 0.001), body weight (<i>β</i> = 0.030, <i>p</i> < 0.001) and height (<i>β</i> = 4.336, <i>p</i> < 0.001) were independently associated with fat-free muscle volumes and were incorporated into a new algorithm (D<sub>3</sub>Cr<sub>Ht-Wt</sub>). In a separate validation cohort, muscle volumes estimated using the D<sub>3</sub>Cr<sub>Ht-Wt</sub> algorithm (<i>R</i> = 0.813) had a higher correlation with MRI-measured fat-free muscle volumes than both D<sub>3</sub>Cr<sub>original</sub> (<i>R</i> = 0.672) and D<sub>3</sub>Cr<sub>modified</sub> (<i>R</i> = 0.692) algorithms. Bland–Altman analysis indicated a low bias of 0.112 L and limits of agreement of −0.969 L to +1.190 L.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Muscle volumes estimated with the D<sub>3</sub>Cr<sub>Ht-Wt</sub> algorithm had high correlation and agreement with MRI-measured fat-free muscle volumes. The convenience of the D<sub>3</sub>Cr method for participants suggests its potential to be a clinically relevant method for assessing fat-free muscle volumes in sarcopenia studies.</p>\n </section>\n </div>","PeriodicalId":48911,"journal":{"name":"Journal of Cachexia Sarcopenia and Muscle","volume":"16 4","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcsm.13872","citationCount":"0","resultStr":"{\"title\":\"Novel Algorithm to Estimate Fat-Free Muscle Volumes in Women Using the Urinary Deuterated-Creatine Dilution Method\",\"authors\":\"Darren Yuen Zhang Tan, Wei Fun Cheong, Shanshan Ji, Amaury Cazenave-Gassiot, Jane Cauley, Liang Shen, Eu-Leong Yong\",\"doi\":\"10.1002/jcsm.13872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Muscle mass declines after menopause and is a key risk factor for frailty, falls and poor physical function as women age. The deuterated creatine (D<sub>3</sub>Cr) dilution method provides a direct assessment of muscle mass, but its accuracy in Asian women has not been evaluated. Our aim was to develop a new D<sub>3</sub>Cr algorithm incorporating anthropomorphic variables that can estimate fat-free muscle mass, using magnetic resonance imaging (MRI) as the reference standard.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The Integrated Women's Health Programme (IWHP) enrolled 1201 healthy community-dwelling women, aged 45–69 years at baseline, who attended gynaecological clinics from 2014 to 2016. Between February 2021 and July 2023, 894 participants were recontacted, and 451 of the respondents agreed to ingest 30 mg of D<sub>3</sub>Cr and had available MRI measurements of fat-free thigh and erector spinae volumes. Urinary levels of creatine, creatinine and D<sub>3</sub>-creatinine levels were measured by tandem mass spectrometry 4 days after ingestion of D<sub>3</sub>Cr. Muscle mass was estimated using the two D<sub>3</sub>Cr algorithms (D<sub>3</sub>Cr<sub>original</sub> and D<sub>3</sub>Cr<sub>modified</sub>) in current use and a newly developed algorithm (D<sub>3</sub>Cr<sub>Ht-Wt</sub>) incorporating anthropometric variables that estimate fat-free muscle volumes. Pearson's correlation analyses were used to compare the performances of the D<sub>3</sub>Cr algorithms with MRI. Bland–Altman analysis was used to ascertain agreement between D<sub>3</sub>Cr<sub>Ht-Wt</sub> and MRI.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Participants (<i>n</i> = 451, mean age 62.6 ± 5.9) were randomly divided into training (<i>n</i> = 367) and validation (<i>n</i> = 84) cohorts. In the training cohort, stepwise multivariable regression modelling indicated that age (<i>β</i> = −0.011, <i>p</i> = 0.076) and ethnicity (<i>β</i> = 0.154, <i>p</i> = 0.317 [Indian]; <i>β</i> = −0.012, <i>p</i> = 0.942 [Malay] compared to Chinese) were not associated with fat-free muscle volumes. In the final model, D<sub>3</sub>Cr-determined creatine pool size (<i>β</i> = 0.032, <i>p</i> < 0.001), body weight (<i>β</i> = 0.030, <i>p</i> < 0.001) and height (<i>β</i> = 4.336, <i>p</i> < 0.001) were independently associated with fat-free muscle volumes and were incorporated into a new algorithm (D<sub>3</sub>Cr<sub>Ht-Wt</sub>). In a separate validation cohort, muscle volumes estimated using the D<sub>3</sub>Cr<sub>Ht-Wt</sub> algorithm (<i>R</i> = 0.813) had a higher correlation with MRI-measured fat-free muscle volumes than both D<sub>3</sub>Cr<sub>original</sub> (<i>R</i> = 0.672) and D<sub>3</sub>Cr<sub>modified</sub> (<i>R</i> = 0.692) algorithms. Bland–Altman analysis indicated a low bias of 0.112 L and limits of agreement of −0.969 L to +1.190 L.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Muscle volumes estimated with the D<sub>3</sub>Cr<sub>Ht-Wt</sub> algorithm had high correlation and agreement with MRI-measured fat-free muscle volumes. The convenience of the D<sub>3</sub>Cr method for participants suggests its potential to be a clinically relevant method for assessing fat-free muscle volumes in sarcopenia studies.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48911,\"journal\":{\"name\":\"Journal of Cachexia Sarcopenia and Muscle\",\"volume\":\"16 4\",\"pages\":\"\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcsm.13872\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cachexia Sarcopenia and Muscle\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jcsm.13872\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cachexia Sarcopenia and Muscle","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jcsm.13872","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
绝经后肌肉量下降,是女性衰老时身体虚弱、跌倒和身体机能不佳的关键风险因素。氘化肌酸(D3Cr)稀释法提供了对肌肉质量的直接评估,但其在亚洲女性中的准确性尚未得到评估。我们的目标是开发一种新的D3Cr算法,该算法结合拟人化变量,可以使用磁共振成像(MRI)作为参考标准来估计无脂肪肌肉质量。方法采用综合妇女健康计划(IWHP)纳入1201名健康的社区居住妇女,基线年龄为45-69岁,于2014年至2016年在妇科诊所就诊。在2021年2月至2023年7月期间,重新联系了894名参与者,其中451名受访者同意摄入30毫克D3Cr,并获得了无脂大腿和竖脊肌体积的MRI测量结果。摄入D3Cr后4天,采用串联质谱法测定尿肌酸、肌酐和d3 -肌酐水平。肌肉质量的估计使用目前使用的两种D3Cr算法(D3Croriginal和D3Crmodified)和一种新开发的算法(D3CrHt-Wt),该算法包含估计无脂肪肌肉体积的人体测量变量。使用Pearson相关分析比较D3Cr算法与MRI的性能。Bland-Altman分析用于确定D3CrHt-Wt与MRI之间的一致性。结果参与者(n = 451,平均年龄62.6±5.9)随机分为训练组(n = 367)和验证组(n = 84)。在训练队列中,逐步多变量回归模型显示年龄(β = - 0.011, p = 0.076)和种族(β = 0.154, p = 0.317[印度];β =−0.012,p = 0.942[马来语]与华人相比)与无脂肌肉体积无关。在最终模型中,d3cr决定的肌酸池大小(β = 0.032, p < 0.001)、体重(β = 0.030, p < 0.001)和身高(β = 4.336, p < 0.001)与无脂肌肉体积独立相关,并被纳入新的算法(D3CrHt-Wt)。在一个单独的验证队列中,使用D3CrHt-Wt算法估计的肌肉体积(R = 0.813)与mri测量的无脂肌肉体积的相关性高于D3Croriginal (R = 0.672)和D3Crmodified (R = 0.692)算法。Bland-Altman分析显示低偏倚为0.112 L,一致性限为−0.969 L至+1.190 L。结论D3CrHt-Wt算法估计的肌肉体积与mri测量的无脂肪肌肉体积具有高度的相关性和一致性。D3Cr方法对参与者的便利性表明,它有可能成为一种评估肌肉减少症研究中无脂肪肌肉体积的临床相关方法。
Novel Algorithm to Estimate Fat-Free Muscle Volumes in Women Using the Urinary Deuterated-Creatine Dilution Method
Background
Muscle mass declines after menopause and is a key risk factor for frailty, falls and poor physical function as women age. The deuterated creatine (D3Cr) dilution method provides a direct assessment of muscle mass, but its accuracy in Asian women has not been evaluated. Our aim was to develop a new D3Cr algorithm incorporating anthropomorphic variables that can estimate fat-free muscle mass, using magnetic resonance imaging (MRI) as the reference standard.
Methods
The Integrated Women's Health Programme (IWHP) enrolled 1201 healthy community-dwelling women, aged 45–69 years at baseline, who attended gynaecological clinics from 2014 to 2016. Between February 2021 and July 2023, 894 participants were recontacted, and 451 of the respondents agreed to ingest 30 mg of D3Cr and had available MRI measurements of fat-free thigh and erector spinae volumes. Urinary levels of creatine, creatinine and D3-creatinine levels were measured by tandem mass spectrometry 4 days after ingestion of D3Cr. Muscle mass was estimated using the two D3Cr algorithms (D3Croriginal and D3Crmodified) in current use and a newly developed algorithm (D3CrHt-Wt) incorporating anthropometric variables that estimate fat-free muscle volumes. Pearson's correlation analyses were used to compare the performances of the D3Cr algorithms with MRI. Bland–Altman analysis was used to ascertain agreement between D3CrHt-Wt and MRI.
Results
Participants (n = 451, mean age 62.6 ± 5.9) were randomly divided into training (n = 367) and validation (n = 84) cohorts. In the training cohort, stepwise multivariable regression modelling indicated that age (β = −0.011, p = 0.076) and ethnicity (β = 0.154, p = 0.317 [Indian]; β = −0.012, p = 0.942 [Malay] compared to Chinese) were not associated with fat-free muscle volumes. In the final model, D3Cr-determined creatine pool size (β = 0.032, p < 0.001), body weight (β = 0.030, p < 0.001) and height (β = 4.336, p < 0.001) were independently associated with fat-free muscle volumes and were incorporated into a new algorithm (D3CrHt-Wt). In a separate validation cohort, muscle volumes estimated using the D3CrHt-Wt algorithm (R = 0.813) had a higher correlation with MRI-measured fat-free muscle volumes than both D3Croriginal (R = 0.672) and D3Crmodified (R = 0.692) algorithms. Bland–Altman analysis indicated a low bias of 0.112 L and limits of agreement of −0.969 L to +1.190 L.
Conclusions
Muscle volumes estimated with the D3CrHt-Wt algorithm had high correlation and agreement with MRI-measured fat-free muscle volumes. The convenience of the D3Cr method for participants suggests its potential to be a clinically relevant method for assessing fat-free muscle volumes in sarcopenia studies.
期刊介绍:
The Journal of Cachexia, Sarcopenia and Muscle is a peer-reviewed international journal dedicated to publishing materials related to cachexia and sarcopenia, as well as body composition and its physiological and pathophysiological changes across the lifespan and in response to various illnesses from all fields of life sciences. The journal aims to provide a reliable resource for professionals interested in related research or involved in the clinical care of affected patients, such as those suffering from AIDS, cancer, chronic heart failure, chronic lung disease, liver cirrhosis, chronic kidney failure, rheumatoid arthritis, or sepsis.