Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass

Objectives: To assess the association between baseline malnutrition according to the GLIM format, using seven pragmatic approaches to define the criterion of loss of muscle mass, with mortality in the SarcoPhAge (Sarcopenia and Physical Impairment with advancing Age) study during a 5-year follow-up....

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Autores: Sánchez-Rodríguez, María Dolores, Locquet, Médéa, Bruyère, Olivier, Lengelé, Laetitia, Cavalier, Etienne, Reginster, Jean-Yves, Beaudart, Charlotte
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/47891
Acceso en línea:http://hdl.handle.net/10230/47891
http://dx.doi.org/10.1016/j.clnu.2020.09.047
Access Level:acceso abierto
Palabra clave:Calf-circumference
GLIM
Ishii
Malnutrition
Mortality
SarcoPhAge
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spelling Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle massSánchez-Rodríguez, María DoloresLocquet, MédéaBruyère, OlivierLengelé, LaetitiaCavalier, EtienneReginster, Jean-YvesBeaudart, CharlotteCalf-circumferenceGLIMIshiiMalnutritionMortalitySarcoPhAgeObjectives: To assess the association between baseline malnutrition according to the GLIM format, using seven pragmatic approaches to define the criterion of loss of muscle mass, with mortality in the SarcoPhAge (Sarcopenia and Physical Impairment with advancing Age) study during a 5-year follow-up. Secondarily, to calculate diagnostic performance indicators, concordance, and feasibility of these 7 pragmatic approaches compared to the original GLIM criteria. Methods: Post-hoc analysis of the SarcoPhAge cohort, which included 534 community-dwelling volunteers ≥65-year-old, followed-up from 2013 to 2019. Baseline malnutrition was defined by GLIM criteria and 7 approaches: 1) Omission of a reduced muscle mass as a criterion; 2) Substitution for handgrip strength, 3) Calf-circumference, 4) Mid-arm circumference, 5) Goodman's grid, 6) Ishii's score chart, and 7) Yu's formula. The association between malnutrition (according to GLIM criteria and the 7 approaches) and mortality was assessed by Cox-regressions. Sensitivity, Specificity, Positive (PPV), Negative (NPV) predictive values, area under the curve (AUC), Cohen-kappa coefficient, and TELOS-feasibility score were calculated. Results: Data to calculate GLIM criteria were available for 373 subjects (73.07 ± 5.96 years, 56% women). Prevalence of malnutrition with GLIM criteria was 24.4% (ranged from 13.9% to 20.9% with the 7 approaches). GLIM criteria showed a HR = 3.38 (1.89-6.09) to predict mortality during the 5-year follow-up, which ranged from HR = 2.72 (1.51-4.91) to 3.94 (2.14-7.24) with the 7 approaches. All 7 approaches were feasible (TELOS ≥ 3), showed sensitivity ≥ 65%, specificity ≥ 95.4%, PPV ≥ 85%, NPV ≥ 88%, AUC ≥ 0.7 and had almost-perfect/strong concordance (k ≥ 0.7) with the original GLIM criteria. Conclusions: GLIM criteria and the 7 approaches predicted three-to four-fold mortality, all ensured an accurate diagnosis, and were feasible in clinical settings.Elsevier20212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/47891http://dx.doi.org/10.1016/j.clnu.2020.09.047reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglés© Elsevier http://dx.doi.org/10.1016/j.clnu.2020.09.047info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/478912026-06-12T07:21:37Z
dc.title.none.fl_str_mv Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
title Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
spellingShingle Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
Sánchez-Rodríguez, María Dolores
Calf-circumference
GLIM
Ishii
Malnutrition
Mortality
SarcoPhAge
title_short Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
title_full Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
title_fullStr Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
title_full_unstemmed Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
title_sort Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass
dc.creator.none.fl_str_mv Sánchez-Rodríguez, María Dolores
Locquet, Médéa
Bruyère, Olivier
Lengelé, Laetitia
Cavalier, Etienne
Reginster, Jean-Yves
Beaudart, Charlotte
author Sánchez-Rodríguez, María Dolores
author_facet Sánchez-Rodríguez, María Dolores
Locquet, Médéa
Bruyère, Olivier
Lengelé, Laetitia
Cavalier, Etienne
Reginster, Jean-Yves
Beaudart, Charlotte
author_role author
author2 Locquet, Médéa
Bruyère, Olivier
Lengelé, Laetitia
Cavalier, Etienne
Reginster, Jean-Yves
Beaudart, Charlotte
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Calf-circumference
GLIM
Ishii
Malnutrition
Mortality
SarcoPhAge
topic Calf-circumference
GLIM
Ishii
Malnutrition
Mortality
SarcoPhAge
description Objectives: To assess the association between baseline malnutrition according to the GLIM format, using seven pragmatic approaches to define the criterion of loss of muscle mass, with mortality in the SarcoPhAge (Sarcopenia and Physical Impairment with advancing Age) study during a 5-year follow-up. Secondarily, to calculate diagnostic performance indicators, concordance, and feasibility of these 7 pragmatic approaches compared to the original GLIM criteria. Methods: Post-hoc analysis of the SarcoPhAge cohort, which included 534 community-dwelling volunteers ≥65-year-old, followed-up from 2013 to 2019. Baseline malnutrition was defined by GLIM criteria and 7 approaches: 1) Omission of a reduced muscle mass as a criterion; 2) Substitution for handgrip strength, 3) Calf-circumference, 4) Mid-arm circumference, 5) Goodman's grid, 6) Ishii's score chart, and 7) Yu's formula. The association between malnutrition (according to GLIM criteria and the 7 approaches) and mortality was assessed by Cox-regressions. Sensitivity, Specificity, Positive (PPV), Negative (NPV) predictive values, area under the curve (AUC), Cohen-kappa coefficient, and TELOS-feasibility score were calculated. Results: Data to calculate GLIM criteria were available for 373 subjects (73.07 ± 5.96 years, 56% women). Prevalence of malnutrition with GLIM criteria was 24.4% (ranged from 13.9% to 20.9% with the 7 approaches). GLIM criteria showed a HR = 3.38 (1.89-6.09) to predict mortality during the 5-year follow-up, which ranged from HR = 2.72 (1.51-4.91) to 3.94 (2.14-7.24) with the 7 approaches. All 7 approaches were feasible (TELOS ≥ 3), showed sensitivity ≥ 65%, specificity ≥ 95.4%, PPV ≥ 85%, NPV ≥ 88%, AUC ≥ 0.7 and had almost-perfect/strong concordance (k ≥ 0.7) with the original GLIM criteria. Conclusions: GLIM criteria and the 7 approaches predicted three-to four-fold mortality, all ensured an accurate diagnosis, and were feasible in clinical settings.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/47891
http://dx.doi.org/10.1016/j.clnu.2020.09.047
url http://hdl.handle.net/10230/47891
http://dx.doi.org/10.1016/j.clnu.2020.09.047
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv © Elsevier http://dx.doi.org/10.1016/j.clnu.2020.09.047
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Elsevier http://dx.doi.org/10.1016/j.clnu.2020.09.047
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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