肌肉质量对基于肌酐的eGFR方程性能和肾移植后死亡风险评估的影响

IF 9.1 1区 医学 Q1 GERIATRICS & GERONTOLOGY
François Gaillard, Melissa Ould Rabah, Olivier Aubert, Nicolas Garcelon, Antoine Neuraz, Christophe Legendre, Dany Anglicheau, Dominique Prié, Frank Bienaimé
{"title":"肌肉质量对基于肌酐的eGFR方程性能和肾移植后死亡风险评估的影响","authors":"François Gaillard,&nbsp;Melissa Ould Rabah,&nbsp;Olivier Aubert,&nbsp;Nicolas Garcelon,&nbsp;Antoine Neuraz,&nbsp;Christophe Legendre,&nbsp;Dany Anglicheau,&nbsp;Dominique Prié,&nbsp;Frank Bienaimé","doi":"10.1002/jcsm.70032","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Estimating glomerular filtration rate (eGFR) in kidney transplant recipients (KTR) typically relies on plasma creatinine, which is influenced by muscle mass. Reduced muscle mass is suspected to reduce eGFR performance in this population but this effect has not been rigorously evaluated. This study quantified the impact of muscle mass on eGFR accuracy and its confounding effect on the association between kidney function and mortality in KTR.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We studied a prospective and consecutive cohort of 1829 KTR (mean age 52 ± 14 years; 38.9% female) who underwent GFR measurement using iohexol clearance (ioGFR). Muscle mass was assessed by creatinine excretion rate (CER) from timed urine collections. We evaluated the impact of muscle mass on the performance of five eGFR equations (MDRD, CKDEPI<sub>2009</sub>, CKDEPI<sub>2021</sub>, EKFC and RFKTS) using multiple regression and subgroup analysis. The association between eGFRs, ioGFR and mortality was examined using Cox proportional hazards models.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>All eGFR equations showed a significant negative correlation with CER. EKFC was the least sensitive to CER (<b><i>β</i></b> coefficient 95% confidence interval [CI]: −0.17 to −0.12). All eGFR equations demonstrated reduced accuracy in the lowest muscle mass tertile. In multivariable analyses, ioGFR was significantly associated with mortality (hazard ratio 95% CI: 0.972–0.995) but eGFRs were not. Including CER in the Cox models resulted in convergence of the mortality hazard ratios for ioGFR and eGFRs (hazard ratio 95% CI: ioGFR: 0.98–0.999; MDRD: 0.98–0.999; CKDEPI<sub>2021</sub>: 0.99–1; EKFC (0.98–1) RFKS: 0.98–0999).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The performance of all tested creatinine-based eGFR equations is strongly impacted by muscle mass. Muscle mass is also a key confounder in the mortality risk assessment using eGFR. Incorporating muscle mass into KTR's evaluations may improve kidney function assessments in KTR.</p>\n </section>\n </div>","PeriodicalId":48911,"journal":{"name":"Journal of Cachexia Sarcopenia and Muscle","volume":"16 5","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcsm.70032","citationCount":"0","resultStr":"{\"title\":\"Impact of Muscle Mass on the Performance of Creatinine-Based eGFR Equations and Mortality Risk Assessment After Kidney Transplantation\",\"authors\":\"François Gaillard,&nbsp;Melissa Ould Rabah,&nbsp;Olivier Aubert,&nbsp;Nicolas Garcelon,&nbsp;Antoine Neuraz,&nbsp;Christophe Legendre,&nbsp;Dany Anglicheau,&nbsp;Dominique Prié,&nbsp;Frank Bienaimé\",\"doi\":\"10.1002/jcsm.70032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Estimating glomerular filtration rate (eGFR) in kidney transplant recipients (KTR) typically relies on plasma creatinine, which is influenced by muscle mass. Reduced muscle mass is suspected to reduce eGFR performance in this population but this effect has not been rigorously evaluated. This study quantified the impact of muscle mass on eGFR accuracy and its confounding effect on the association between kidney function and mortality in KTR.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We studied a prospective and consecutive cohort of 1829 KTR (mean age 52 ± 14 years; 38.9% female) who underwent GFR measurement using iohexol clearance (ioGFR). Muscle mass was assessed by creatinine excretion rate (CER) from timed urine collections. We evaluated the impact of muscle mass on the performance of five eGFR equations (MDRD, CKDEPI<sub>2009</sub>, CKDEPI<sub>2021</sub>, EKFC and RFKTS) using multiple regression and subgroup analysis. The association between eGFRs, ioGFR and mortality was examined using Cox proportional hazards models.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>All eGFR equations showed a significant negative correlation with CER. EKFC was the least sensitive to CER (<b><i>β</i></b> coefficient 95% confidence interval [CI]: −0.17 to −0.12). All eGFR equations demonstrated reduced accuracy in the lowest muscle mass tertile. In multivariable analyses, ioGFR was significantly associated with mortality (hazard ratio 95% CI: 0.972–0.995) but eGFRs were not. Including CER in the Cox models resulted in convergence of the mortality hazard ratios for ioGFR and eGFRs (hazard ratio 95% CI: ioGFR: 0.98–0.999; MDRD: 0.98–0.999; CKDEPI<sub>2021</sub>: 0.99–1; EKFC (0.98–1) RFKS: 0.98–0999).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The performance of all tested creatinine-based eGFR equations is strongly impacted by muscle mass. Muscle mass is also a key confounder in the mortality risk assessment using eGFR. Incorporating muscle mass into KTR's evaluations may improve kidney function assessments in KTR.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48911,\"journal\":{\"name\":\"Journal of Cachexia Sarcopenia and Muscle\",\"volume\":\"16 5\",\"pages\":\"\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcsm.70032\",\"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.70032\",\"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.70032","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

估计肾移植受者(KTR)的肾小球滤过率(eGFR)通常依赖于受肌肉质量影响的血浆肌酐。在这个人群中,肌肉量的减少被怀疑会降低eGFR的表现,但这种影响尚未得到严格的评估。本研究量化了肌肉质量对eGFR准确性的影响,以及它对KTR患者肾功能和死亡率之间关联的混淆效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Impact of Muscle Mass on the Performance of Creatinine-Based eGFR Equations and Mortality Risk Assessment After Kidney Transplantation

Impact of Muscle Mass on the Performance of Creatinine-Based eGFR Equations and Mortality Risk Assessment After Kidney Transplantation

Background

Estimating glomerular filtration rate (eGFR) in kidney transplant recipients (KTR) typically relies on plasma creatinine, which is influenced by muscle mass. Reduced muscle mass is suspected to reduce eGFR performance in this population but this effect has not been rigorously evaluated. This study quantified the impact of muscle mass on eGFR accuracy and its confounding effect on the association between kidney function and mortality in KTR.

Methods

We studied a prospective and consecutive cohort of 1829 KTR (mean age 52 ± 14 years; 38.9% female) who underwent GFR measurement using iohexol clearance (ioGFR). Muscle mass was assessed by creatinine excretion rate (CER) from timed urine collections. We evaluated the impact of muscle mass on the performance of five eGFR equations (MDRD, CKDEPI2009, CKDEPI2021, EKFC and RFKTS) using multiple regression and subgroup analysis. The association between eGFRs, ioGFR and mortality was examined using Cox proportional hazards models.

Results

All eGFR equations showed a significant negative correlation with CER. EKFC was the least sensitive to CER (β coefficient 95% confidence interval [CI]: −0.17 to −0.12). All eGFR equations demonstrated reduced accuracy in the lowest muscle mass tertile. In multivariable analyses, ioGFR was significantly associated with mortality (hazard ratio 95% CI: 0.972–0.995) but eGFRs were not. Including CER in the Cox models resulted in convergence of the mortality hazard ratios for ioGFR and eGFRs (hazard ratio 95% CI: ioGFR: 0.98–0.999; MDRD: 0.98–0.999; CKDEPI2021: 0.99–1; EKFC (0.98–1) RFKS: 0.98–0999).

Conclusion

The performance of all tested creatinine-based eGFR equations is strongly impacted by muscle mass. Muscle mass is also a key confounder in the mortality risk assessment using eGFR. Incorporating muscle mass into KTR's evaluations may improve kidney function assessments in KTR.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Cachexia Sarcopenia and Muscle
Journal of Cachexia Sarcopenia and Muscle MEDICINE, GENERAL & INTERNAL-
CiteScore
13.30
自引率
12.40%
发文量
234
审稿时长
16 weeks
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信