Índice de masa corporal elevado y la predicción de disglucemias / High body mass index and dysglycaemia´s prediction

Introducción: La obesidad constituye un importante factor de riesgo independiente para el desarrollo de las disglucemias. A través del índice de masa corporal es posible hacer un diagnóstico rápido del exceso ponderal. Objetivo: Describir la relación entre el índice de masa corporal elevado y la predicción de las disglucemias. Método: Se realizó una búsqueda de literatura relevante sobre el tema en el primer trimestre de 2019. Se utilizaron como buscadores de información científica a Pubmed, SciELO y Google Académico. La estrategia de búsqueda incluyó los siguientes términos como palabras clave: "obesidad", "sobrepeso corporal", "índice de masa corporal", "exceso de peso", "disglucemias". Se evaluaron artículos de revisión, de investigación y páginas Web que, en general, tenían menos de 10 años de publicados, en idioma español, portugués e inglés, y que hicieran referencia específicamente al tema de estudio a través del título. Fueron excluidos los artículos que no cumplieron con estas condiciones. Esto permitió el estudio de 80 referencias bibliográficas, de las cuales 55 se citaron en el presente artículo. Conclusiones: El índice de masa corporal elevado incrementa la resistencia a la acción de la insulina preexistente, a través de diferentes mecanismos. Esto facilita el deterioro del metabolismo de los carbohidratos con la posible aparición de las disglucemias. El empleo de esta relación y de puntos de cortes validados para nuestra población, permitiría un diagnóstico rápido del exceso ponderal y la predicción de una de sus importantes consecuencias, las disglucemias(AU)

Introduction: Obesity is an important independent risk factor for the development of dysglycaemia. A rapid diagnosis of weight excess can be made through the body mass index. Objective: Describe the relationship between high body mass index and prediction of dysglycaemias. Method: A search for relevant literature on the subject was conducted in the first quarter of 2019. Pubmed, SciELO and Google Academic were used as scientific information searchers. The search strategy included the following terms as keywords: "obesity", "body overweight", "body mass index", "excess weight", "dysglycaemias". Review articles, research articles and web pages were evaluated, generally with less than 10 years old, in Spanish, Portuguese and English languages, and specifically referencing the subject of study through the title. Items that did not meet these conditions were excluded. This allowed the study of 80 bibliographic references, of which 55 were cited in this article. Conclusions: The high body mass index increases the resistance to the action of pre-existing insulin, through different mechanisms. This facilitates the deterioration of carbohydrates metabolism with the possible onset of dysglycaemia. The use of this relationship and of validated cut-off points for our population would allow a rapid diagnosis of weight excess and the prediction of one of its important consequences: dysglycaemias(AU)

Prevalence of dysglycaemic events among inpatients with diabetes mellitus: a Singaporean perspective

<p><b>INTRODUCTION</b>As the effectiveness of intensive glycaemic control is unclear and recommended glycaemic targets are inconsistent, this study aimed to ascertain the prevalence of dysglycaemia among hospitalised patients with diabetes mellitus in an Asian population and evaluate the current standards of inpatient glycaemic control.</p><p><b>METHODS</b>A retrospective observational study was conducted at a secondary hospital. Point-of-care blood glucose (BG) values, demographic data, medical history, glycaemic therapy and clinical characteristics were recorded. Dysglycaemia prevalence was calculated as proportions of BG-monitored days with at least one reading exceeding the cut points of 8, 10 and 15 mmol/L for hyperglycaemia, and below the cut point of 4 mmol/L for hypoglycaemia.</p><p><b>RESULTS</b>Among the 288 patients recruited, hyperglycaemia was highly prevalent (90.3%, 81.3% and 47.6% for the respective cut points), while hypoglycaemia was the least prevalent (18.8%). Dysglycaemic patients were more likely than normoglycaemic patients to have poorer glycated haemoglobin (HbA1c) levels (8.4% ± 2.6% vs. 7.3% ± 1.9%; p = 0.002 for BG > 10 mmol/L) and longer lengths of stay (10.1 ± 8.2 days vs. 6.8 ± 4.7 days; p = 0.007 for BG < 4 mmol/L). Hyperglycaemia was more prevalent in patients on more intensive treatment regimens, such as basal-bolus combination therapy and the use of both insulin and oral hypoglycaemic agents (100.0% and 96.0%, respectively; p < 0.001 for BG > 10 mmol/L).</p><p><b>CONCLUSION</b>Inpatient glycaemic control is suboptimal. Factors (e.g. type of treatment regimen, discipline and baseline HbA1c) associated with greater prevalence of dysglycaemia should be given due consideration in patient management.</p>