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, Melissa Ould Rabah, Olivier Aubert, Nicolas Garcelon, Antoine Neuraz, Christophe Legendre, Dany Anglicheau, Dominique Prié, 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, Melissa Ould Rabah, Olivier Aubert, Nicolas Garcelon, Antoine Neuraz, Christophe Legendre, Dany Anglicheau, Dominique Prié, 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. 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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.
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.