High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study

Background: Describe the profile of patients with obesity in internal medicine to determine the role of adiposity and related inflammation on the metabolic risk profile and, identify various "high-risk obesity" phenotypes by means of a cluster analysis. This study aimed to identify differe...

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Autores: Carretero-Gomez, J, Perez-Martinez, P, Segui-Ripoll, JM, Carrasco-Sanchez, FJ, Martinez, NL, Perez, EF, Hernandez, OP, Ordonez, MAG, Gonzalez, CM, Vigueras-Perez, JF, Puchades, F, Avaria, MCB, Ena, J, Arevalo-Lorido, JC
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repositorio:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p13899
Acceso en línea:https://fisabio.portalinvestigacion.com/publicaciones/13899
Access Level:acceso abierto
Palabra clave:obesity
inflammation
adiposity
waist circumference
phenotypes
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spelling High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI StudyCarretero-Gomez, JPerez-Martinez, PSegui-Ripoll, JMCarrasco-Sanchez, FJMartinez, NLPerez, EFHernandez, OPOrdonez, MAGGonzalez, CMVigueras-Perez, JFPuchades, FAvaria, MCBEna, JArevalo-Lorido, JCobesityinflammationadipositywaist circumferencephenotypesBackground: Describe the profile of patients with obesity in internal medicine to determine the role of adiposity and related inflammation on the metabolic risk profile and, identify various "high-risk obesity" phenotypes by means of a cluster analysis. This study aimed to identify different profiles of patients with high-risk obesity based on a cluster analysis. Methods: Cross-sectional, multicenter project that included outpatients attended to in internal medicine. A total of 536 patients were studied. The mean age was 62 years, 51% were women. Patients were recruited from internal medicine departments over two weeks in November and December 2021 and classified into four risk groups according to body mass index (BMI) and waist circumference (WC). High-risk obesity was defined as BMI > 35 Kg/m(2) or BMI 30-34.9 Kg/m(2) and a high WC (>102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 +/- 16 vs. 61 +/- 21 years, p < 0.01), a Charlson Comorbidity Index > 3 (53% vs. 5%, p < 0.001), depression (36% vs. 19%, p = 0.008), severe disability (64% vs. 3%, p < 0.001), and a sarcopenia score >= 4 (79% vs. 16%, p < 0.01). In addition, cluster 2 had greater inflammation than cluster 1 (hsCRP: 5.8 +/- 4.1 vs. 2.1 +/- 4.5 mg/dL, p = 0.008). Conclusions: Two profiles of subjects with high-risk obesity were identified. Based on that, older subjects with obesity require measures that target sarcopenia, disability, psychological health, and significant comorbidities to prevent further health deterioration. Longitudinal studies should be performed to identify potential risk factors of subjects who progress from cluster 1 to cluster 2.MDPI2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fisabio.portalinvestigacion.com/publicaciones/13899Journal of Clinical MedicineISSN: 20770383reponame:r-FISABIO. Repositorio Institucional de Producción Científicainstname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)Inglésinfo:eu-repo/semantics/openAccessoai:fisabio.fundanetsuite.com:p138992026-06-11T12:45:17Z
dc.title.none.fl_str_mv High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
title High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
spellingShingle High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
Carretero-Gomez, J
obesity
inflammation
adiposity
waist circumference
phenotypes
title_short High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
title_full High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
title_fullStr High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
title_full_unstemmed High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
title_sort High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
dc.creator.none.fl_str_mv Carretero-Gomez, J
Perez-Martinez, P
Segui-Ripoll, JM
Carrasco-Sanchez, FJ
Martinez, NL
Perez, EF
Hernandez, OP
Ordonez, MAG
Gonzalez, CM
Vigueras-Perez, JF
Puchades, F
Avaria, MCB
Ena, J
Arevalo-Lorido, JC
author Carretero-Gomez, J
author_facet Carretero-Gomez, J
Perez-Martinez, P
Segui-Ripoll, JM
Carrasco-Sanchez, FJ
Martinez, NL
Perez, EF
Hernandez, OP
Ordonez, MAG
Gonzalez, CM
Vigueras-Perez, JF
Puchades, F
Avaria, MCB
Ena, J
Arevalo-Lorido, JC
author_role author
author2 Perez-Martinez, P
Segui-Ripoll, JM
Carrasco-Sanchez, FJ
Martinez, NL
Perez, EF
Hernandez, OP
Ordonez, MAG
Gonzalez, CM
Vigueras-Perez, JF
Puchades, F
Avaria, MCB
Ena, J
Arevalo-Lorido, JC
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv obesity
inflammation
adiposity
waist circumference
phenotypes
topic obesity
inflammation
adiposity
waist circumference
phenotypes
description Background: Describe the profile of patients with obesity in internal medicine to determine the role of adiposity and related inflammation on the metabolic risk profile and, identify various "high-risk obesity" phenotypes by means of a cluster analysis. This study aimed to identify different profiles of patients with high-risk obesity based on a cluster analysis. Methods: Cross-sectional, multicenter project that included outpatients attended to in internal medicine. A total of 536 patients were studied. The mean age was 62 years, 51% were women. Patients were recruited from internal medicine departments over two weeks in November and December 2021 and classified into four risk groups according to body mass index (BMI) and waist circumference (WC). High-risk obesity was defined as BMI > 35 Kg/m(2) or BMI 30-34.9 Kg/m(2) and a high WC (>102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 +/- 16 vs. 61 +/- 21 years, p < 0.01), a Charlson Comorbidity Index > 3 (53% vs. 5%, p < 0.001), depression (36% vs. 19%, p = 0.008), severe disability (64% vs. 3%, p < 0.001), and a sarcopenia score >= 4 (79% vs. 16%, p < 0.01). In addition, cluster 2 had greater inflammation than cluster 1 (hsCRP: 5.8 +/- 4.1 vs. 2.1 +/- 4.5 mg/dL, p = 0.008). Conclusions: Two profiles of subjects with high-risk obesity were identified. Based on that, older subjects with obesity require measures that target sarcopenia, disability, psychological health, and significant comorbidities to prevent further health deterioration. Longitudinal studies should be performed to identify potential risk factors of subjects who progress from cluster 1 to cluster 2.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fisabio.portalinvestigacion.com/publicaciones/13899
url https://fisabio.portalinvestigacion.com/publicaciones/13899
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Journal of Clinical Medicine
ISSN: 20770383
reponame:r-FISABIO. Repositorio Institucional de Producción Científica
instname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
instname_str Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
reponame_str r-FISABIO. Repositorio Institucional de Producción Científica
collection r-FISABIO. Repositorio Institucional de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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