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

Título :
High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study
Autor :
Carretero-Gómez, Juana
Pérez Martínez, Pablo  
Seguí-Ripoll, José Miguel  
Carrasco-Sánchez, Francisco Javier  
Lois Martínez, Nagore
Fernández Pérez, Esther
Pérez Hernández, Onán
García Ordoñez, Miguel Ángel
Martín González, Candelaria
Vigueras-Pérez, Juan Francisco
Puchades, Francesc
Blasco Avaria, María Cristina
Pérez Soto, María Isabel
Ena, Javier  
Arévalo-Lorido, José Carlos  
Editor :
MDPI
Departamento:
Departamentos de la UMH::Medicina Clínica
Fecha de publicación:
2022-08
URI :
https://hdl.handle.net/11000/37870
Resumen :
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/m2 or BMI 30−34.9 Kg/m2 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.
Palabras clave/Materias:
adiposity
inflammation
obesity
phenotypes
waist circumference
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
10.3390/jcm11164644
Publicado en:
J Clin Med . 2022 Aug 9;11(16):4644
Aparece en las colecciones:
Artículos Medicina Clínica



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.