Cargando…

Muscle mass and estimates of renal function: a longitudinal cohort study

BACKGROUND: Creatinine is the most widely used test to estimate the glomerular filtration rate (GFR), but muscle mass as key determinant of creatinine next to renal function may confound such estimates. We explored effects of 24‐h height‐indexed creatinine excretion rate (CER index) on GFR estimated...

Descripción completa

Detalles Bibliográficos
Autores principales: Groothof, Dion, Post, Adrian, Polinder‐Bos, Harmke A., Erler, Nicole S., Flores‐Guerrero, Jose L., Kootstra‐Ros, Jenny E., Pol, Robert A., de Borst, Martin H., Gansevoort, Ron T., Gans, Reinold O.B., Kremer, Daan, Kieneker, Lyanne M., Bano, Arjola, Muka, Taulant, Franco, Oscar H., Bakker, Stephan J.L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398222/
https://www.ncbi.nlm.nih.gov/pubmed/35596604
http://dx.doi.org/10.1002/jcsm.12969
_version_ 1784772286776082432
author Groothof, Dion
Post, Adrian
Polinder‐Bos, Harmke A.
Erler, Nicole S.
Flores‐Guerrero, Jose L.
Kootstra‐Ros, Jenny E.
Pol, Robert A.
de Borst, Martin H.
Gansevoort, Ron T.
Gans, Reinold O.B.
Kremer, Daan
Kieneker, Lyanne M.
Bano, Arjola
Muka, Taulant
Franco, Oscar H.
Bakker, Stephan J.L.
author_facet Groothof, Dion
Post, Adrian
Polinder‐Bos, Harmke A.
Erler, Nicole S.
Flores‐Guerrero, Jose L.
Kootstra‐Ros, Jenny E.
Pol, Robert A.
de Borst, Martin H.
Gansevoort, Ron T.
Gans, Reinold O.B.
Kremer, Daan
Kieneker, Lyanne M.
Bano, Arjola
Muka, Taulant
Franco, Oscar H.
Bakker, Stephan J.L.
author_sort Groothof, Dion
collection PubMed
description BACKGROUND: Creatinine is the most widely used test to estimate the glomerular filtration rate (GFR), but muscle mass as key determinant of creatinine next to renal function may confound such estimates. We explored effects of 24‐h height‐indexed creatinine excretion rate (CER index) on GFR estimated with creatinine (eGFR(Cr)), muscle mass‐independent cystatin C (eGFR(Cys)), and the combination of creatinine and cystatin C (eGFR(Cr‐Cys)) and predicted probabilities of discordant classification given age, sex, and CER index. METHODS: We included 8076 adults enrolled in the PREVEND study. Discordant classification was defined as not having eGFR(Cr) <60 mL/min per 1.73 m(2) when eGFR(Cys) was <60 mL/min/1.73 m(2). Baseline effects of age and sex on CER index were quantified with linear models using generalized least squares. Baseline effects of CER index on eGFR were quantified with quantile regression and logistic regression. Effects of annual changes in CER index on trajectories of eGFR were quantified with linear mixed‐effects models. Missing observations in covariates were multiply imputed. RESULTS: Mean (SD) CER index was 8.0 (1.7) and 6.1 (1.3) mmol/24 h per meter in male and female participants, respectively (P (difference) < 0.001). In male participants, baseline CER index increased until 45 years of age followed by a gradual decrease, whereas a gradual decrease across the entire range of age was observed in female participants. For a 70‐year‐old male participant with low muscle mass (CER index of 2 mmol/24 h per meter), predicted baseline eGFR(Cr) and eGFR(Cys) disagreed by 24.7 mL/min/1.73 m(2) (and 30.1 mL/min/1.73 m(2) when creatinine was not corrected for race). Percentages (95% CI) of discordant classification in male and female participants aged 60 years and older with low muscle mass were 18.5% (14.8–22.1%) and 15.2% (11.4–18.5%), respectively. For a 70‐year‐old male participant who lost muscle during follow‐up, eGFR(Cr) and eGFR(Cys) disagreed by 1.5, 5.0, 8.5, and 12.0 mL/min/1.73 m(2) (and 6.7, 10.7, 13.5, and 15.9 mL/min/1.73 m(2) when creatinine was not corrected for race) at baseline, 5 years, 10 years, and 15 years of follow‐up, respectively. CONCLUSIONS: Low muscle mass may cause considerable overestimation of single measurements of eGFR(Cr). Muscle wasting may cause spurious overestimation of repeatedly measured eGFR(Cr). Implementing muscle mass‐independent markers for estimating renal function, like cystatin C as superior alternative to creatinine, is crucial to accurately assess renal function in settings of low muscle mass or muscle wasting. This would also eliminate the negative consequences of current race‐based approaches.
format Online
Article
Text
id pubmed-9398222
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-93982222022-08-24 Muscle mass and estimates of renal function: a longitudinal cohort study Groothof, Dion Post, Adrian Polinder‐Bos, Harmke A. Erler, Nicole S. Flores‐Guerrero, Jose L. Kootstra‐Ros, Jenny E. Pol, Robert A. de Borst, Martin H. Gansevoort, Ron T. Gans, Reinold O.B. Kremer, Daan Kieneker, Lyanne M. Bano, Arjola Muka, Taulant Franco, Oscar H. Bakker, Stephan J.L. J Cachexia Sarcopenia Muscle Original Articles BACKGROUND: Creatinine is the most widely used test to estimate the glomerular filtration rate (GFR), but muscle mass as key determinant of creatinine next to renal function may confound such estimates. We explored effects of 24‐h height‐indexed creatinine excretion rate (CER index) on GFR estimated with creatinine (eGFR(Cr)), muscle mass‐independent cystatin C (eGFR(Cys)), and the combination of creatinine and cystatin C (eGFR(Cr‐Cys)) and predicted probabilities of discordant classification given age, sex, and CER index. METHODS: We included 8076 adults enrolled in the PREVEND study. Discordant classification was defined as not having eGFR(Cr) <60 mL/min per 1.73 m(2) when eGFR(Cys) was <60 mL/min/1.73 m(2). Baseline effects of age and sex on CER index were quantified with linear models using generalized least squares. Baseline effects of CER index on eGFR were quantified with quantile regression and logistic regression. Effects of annual changes in CER index on trajectories of eGFR were quantified with linear mixed‐effects models. Missing observations in covariates were multiply imputed. RESULTS: Mean (SD) CER index was 8.0 (1.7) and 6.1 (1.3) mmol/24 h per meter in male and female participants, respectively (P (difference) < 0.001). In male participants, baseline CER index increased until 45 years of age followed by a gradual decrease, whereas a gradual decrease across the entire range of age was observed in female participants. For a 70‐year‐old male participant with low muscle mass (CER index of 2 mmol/24 h per meter), predicted baseline eGFR(Cr) and eGFR(Cys) disagreed by 24.7 mL/min/1.73 m(2) (and 30.1 mL/min/1.73 m(2) when creatinine was not corrected for race). Percentages (95% CI) of discordant classification in male and female participants aged 60 years and older with low muscle mass were 18.5% (14.8–22.1%) and 15.2% (11.4–18.5%), respectively. For a 70‐year‐old male participant who lost muscle during follow‐up, eGFR(Cr) and eGFR(Cys) disagreed by 1.5, 5.0, 8.5, and 12.0 mL/min/1.73 m(2) (and 6.7, 10.7, 13.5, and 15.9 mL/min/1.73 m(2) when creatinine was not corrected for race) at baseline, 5 years, 10 years, and 15 years of follow‐up, respectively. CONCLUSIONS: Low muscle mass may cause considerable overestimation of single measurements of eGFR(Cr). Muscle wasting may cause spurious overestimation of repeatedly measured eGFR(Cr). Implementing muscle mass‐independent markers for estimating renal function, like cystatin C as superior alternative to creatinine, is crucial to accurately assess renal function in settings of low muscle mass or muscle wasting. This would also eliminate the negative consequences of current race‐based approaches. John Wiley and Sons Inc. 2022-05-21 2022-08 /pmc/articles/PMC9398222/ /pubmed/35596604 http://dx.doi.org/10.1002/jcsm.12969 Text en © 2022 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Groothof, Dion
Post, Adrian
Polinder‐Bos, Harmke A.
Erler, Nicole S.
Flores‐Guerrero, Jose L.
Kootstra‐Ros, Jenny E.
Pol, Robert A.
de Borst, Martin H.
Gansevoort, Ron T.
Gans, Reinold O.B.
Kremer, Daan
Kieneker, Lyanne M.
Bano, Arjola
Muka, Taulant
Franco, Oscar H.
Bakker, Stephan J.L.
Muscle mass and estimates of renal function: a longitudinal cohort study
title Muscle mass and estimates of renal function: a longitudinal cohort study
title_full Muscle mass and estimates of renal function: a longitudinal cohort study
title_fullStr Muscle mass and estimates of renal function: a longitudinal cohort study
title_full_unstemmed Muscle mass and estimates of renal function: a longitudinal cohort study
title_short Muscle mass and estimates of renal function: a longitudinal cohort study
title_sort muscle mass and estimates of renal function: a longitudinal cohort study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398222/
https://www.ncbi.nlm.nih.gov/pubmed/35596604
http://dx.doi.org/10.1002/jcsm.12969
work_keys_str_mv AT groothofdion musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT postadrian musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT polinderbosharmkea musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT erlernicoles musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT floresguerrerojosel musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT kootstrarosjennye musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT polroberta musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT deborstmartinh musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT gansevoortront musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT gansreinoldob musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT kremerdaan musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT kienekerlyannem musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT banoarjola musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT mukataulant musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT francooscarh musclemassandestimatesofrenalfunctionalongitudinalcohortstudy
AT bakkerstephanjl musclemassandestimatesofrenalfunctionalongitudinalcohortstudy