2
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Phase angle and metabolic parameters in severely obese patients Translated title: Ángulo de fase y parámetros metabólicos en pacientes con obesidad severa

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Abstract Introduction: obese patients present an inflammatory and metabolic profile that leads to oxidative stress and cellular damage. Phase angle is an indicator of cellular integrity and has been proposed as a prognostic parameter for changes in the metabolic profile. Objective: to investigate the possible association between phase angle and metabolic parameters in obese patients. Material and method: this was a cross-sectional study of adult obese patients who attended a specialized clinic between 2014 and 2016. All patients were ≥ 18 years of age, with a body mass index ≥ 35 kg/m2. All data were obtained from medical records and made part of the clinical protocol. Patients were divided into two groups using a cutoff point for phase angle, and the groups were compared using the Kruskal-Wallis or Chi-squared test for quantitative and categorical variables, respectively. Correlations were identified by Spearman’s and Pearson’s correlation analyses. All between-group differences were considered statistically significant at p ≤ 0.05. Results: a low phase angle was present in 30.5 % of the 141 patients enrolled in the study. We found an association between low phase angle and presence of hyperuricemia (p = 0.018) when adjusted for waist circumference, dysglycemia, arterial hypertension, and hyperuricemia. There was no correlation between phase angle and the components of body composition. Conclusions: there is an association of phase angle with uric acid levels, but not with other metabolic parameters.

          Translated abstract

          Resumen Introducción: los pacientes obesos presentan un perfil inflamatorio y metabólico que provoca estrés oxidativo y daño celular. El ángulo de fase es un indicador de integridad celular que se ha propuesto como parámetro pronóstico de los cambios del perfil metabólico. Objetivo: investigar la posible asociación entre el ángulo de fase y los parámetros metabólicos en pacientes obesos. Material y método: estudio transversal de pacientes obesos adultos que asistieron a una clínica especializada entre 2014 y 2016. Todos los pacientes tenían ≥ 18 años de edad y un índice de masa corporal ≥ 35 kg/m2. Todos los datos se obtuvieron de los registros médicos y formaron parte del protocolo clínico. Los pacientes se dividieron en dos grupos usando un punto de corte para el ángulo de fase, y los grupos se compararon usando la prueba de Kruskal-Wallis o del chi cuadrado para las variables cuantitativas y categóricas, respectivamente. Las correlaciones se identificaron mediante el análisis de correlación de Spearman y el de Pearson. Todas las diferencias entre grupos se consideraron estadísticamente significativas si p ≤ 0.05. Resultados: se observó un ángulo de fase bajo en el 30,5 % de los 141 pacientes incluidos en el estudio. Encontramos una asociación entre el ángulo de fase bajo y la presencia de hiperuricemia (p = 0.018) cuando se ajustó para la circunferencia de la cintura, la disglucemia, la hipertensión arterial y la hiperuricemia. No hubo correlación entre el ángulo de fase y los componentes de la composición corporal. Conclusiones: el ángulo de fase presenta asociación con los niveles plasmáticos de ácido úrico pero no con otros parámetros metabólicos.

          Related collections

          Most cited references19

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Obesity and Its Metabolic Complications: The Role of Adipokines and the Relationship between Obesity, Inflammation, Insulin Resistance, Dyslipidemia and Nonalcoholic Fatty Liver Disease

          Accumulating evidence indicates that obesity is closely associated with an increased risk of metabolic diseases such as insulin resistance, type 2 diabetes, dyslipidemia and nonalcoholic fatty liver disease. Obesity results from an imbalance between food intake and energy expenditure, which leads to an excessive accumulation of adipose tissue. Adipose tissue is now recognized not only as a main site of storage of excess energy derived from food intake but also as an endocrine organ. The expansion of adipose tissue produces a number of bioactive substances, known as adipocytokines or adipokines, which trigger chronic low-grade inflammation and interact with a range of processes in many different organs. Although the precise mechanisms are still unclear, dysregulated production or secretion of these adipokines caused by excess adipose tissue and adipose tissue dysfunction can contribute to the development of obesity-related metabolic diseases. In this review, we focus on the role of several adipokines associated with obesity and the potential impact on obesity-related metabolic diseases. Multiple lines evidence provides valuable insights into the roles of adipokines in the development of obesity and its metabolic complications. Further research is still required to fully understand the mechanisms underlying the metabolic actions of a few newly identified adipokines.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Bioelectrical phase angle and impedance vector analysis--clinical relevance and applicability of impedance parameters.

            The use of phase angle (PhA) and raw parameters of bioelectrical impedance analysis (BIA) has gained attention as alternative to conventional error-prone calculation of body composition in disease. This review investigates the clinical relevance and applicability of PhA and Bioelectrical Impedance Vector Analysis (BIVA) which uses the plot of resistance and reactance normalized per height. A comprehensive literature search was conducted using Medline identifying studies relevant to this review until March 2011. We included studies on the use of PhA or BIVA derived from tetrapolar BIA in out- and in-patient settings or institutionalized elderly. Numerous studies have proven the prognostic impact of PhA regarding mortality or postoperative complications in different clinical settings. BIVA has been shown to provide information about hydration and body cell mass and therefore allows assessment of patients in whom calculation of body composition fails due to altered hydration. Reference values exist for PhA and BIVA facilitating interpretation of data. PhA, a superior prognostic marker, should be considered as a screening tool for the identification of risk patients with impaired nutritional and functional status, BIVA is recommended for further nutritional assessment and monitoring, in particular when calculation of body composition is not feasible. Copyright © 2012 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Baseline serum uric acid level as a predictor of cardiovascular disease related mortality and all-cause mortality: a meta-analysis of prospective studies.

              Serum uric acid (SUA) levels have been used to predict cardiovascular and all-cause mortality event, but the data have yielded conflicting results. We investigated whether SUA was an independent predictor for cardiovascular or all-cause mortality with prospective studies by meta-analysis. Pubmed and Embase were searched without language restrictions for publications available till April 2013. Only prospective studies on cardiovascular or all-cause mortality related to SUA levels were included. Pooled adjust relative risk (RR) and corresponding 95% confidence intervals (CI) were calculated separately for the highest vs. lowest category or the lowest vs. middle category. For the highest SUA, eleven studies with 172,123 participants were identified and analyzed. Elevated SUA increased risk of all-cause mortality (RR 1.24; 95% CI 1.09-1.42) and cardiovascular mortality (RR 1.37; 95% CI 1.19-1.57). Subgroup analyses showed that elevated SUA significantly increase the risk of all-cause mortality among men (RR 1.23; 95% CI 1.08-1.42), but not in women (RR 1.05; 95% CI 0.79-1.39). Risk of cardiovascular mortality appeared to be more pronounced among women (RR 1.35; 95% CI 1.06-1.72). The association between extremely low SUA and mortality was reported in three studies; we did not perform a pooled analysis because of high degree of heterogeneity in these studies. Baseline SUA level is an independent predictor for future cardiovascular mortality. Elevated SUA appears to significantly increase the risk of all-cause mortality in men, but not in women. Whether low SUA levels are predictors of mortality is still inconclusive. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
                Bookmark

                Author and article information

                Journal
                nh
                Nutrición Hospitalaria
                Nutr. Hosp.
                Grupo Arán (Madrid, Madrid, Spain )
                0212-1611
                1699-5198
                December 2020
                : 37
                : 6
                : 1130-1134
                Affiliations
                [1] Salvador Bahia orgnameUniversidade Federal da Bahia orgdiv1Escola de Nutrição Brazil
                [4] Salvador Bahia orgnameUniversidade Federal da Bahia orgdiv1Escola de Nutrição orgdiv2Program in Medicine and Health Brazil
                [2] Salvador Bahia orgnameUniversidade Federal da Bahia orgdiv1Escola de Nutrição orgdiv2Program in Food, Nutrition and Health Brazil
                [3] Salvador Bahia orgnameNúcleo de Tratamento e Cirurgia da Obesidade Brazil
                Article
                S0212-16112020000800006 S0212-1611(20)03700600006
                10.20960/nh.02928
                33054299
                967eef1c-ebdf-4029-8955-3b0127e14528

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

                History
                : 25 July 2020
                : 04 June 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 19, Pages: 5
                Product

                SciELO Spain

                Categories
                Original Papers

                Ácido úrico,Uric acid,Cardiovascular risk,Bioimpedance,Obesity,Metabolic profile,Phase angle,Riesgo cardiovascular,Bioimpedancia,Obesidad,Perfil metabólico,Ángulo de fase

                Comments

                Comment on this article