Dysfunctional Adiposity and Glucose Impairment (DICAMANO)
24 de abril de 2018 atualizado por: Clinica Universidad de Navarra, Universidad de Navarra
Discovering Carbohydrate Metabolism Alterations in Normoglycemic Obese Patients Study
This is a large and comprehensively phenotyped cohort with fasting glycaemia where the predictive value of body composition and anthropometric measures of total and central fat distribution for postprandial carbohydrate intolerance are studied.
Visão geral do estudo
Status
Concluído
Descrição detalhada
Subjects aged 18-70 years, who attended the Department of Endocrinology and Nutrition of the Clínica Universidad de Navarra from 2009-2014 for a check-up were offered to participate in the DICAMANO study.
853 subjects agreed to take part.
Only those individuals with a normal fasting glucose level (≤5.5 mmol l-1) were analysed.
Subjects with T2DM or severe renal, liver or thyroid dysfunction were excluded.
Participants were instructed to temporarily discontinue for 48 hours any medication known to affect glucose or lipid metabolism.
On the day of the study visit, each subject had a complete routine clinical assessment to evaluate the presence of cardiovascular, respiratory, renal or endocrine disorders.
All patients underwent a 75-g OGTT with a concomitant anthropometric study, blood pressure monitoring and lipid profile analyses.
They were classified by glucose tolerance on the basis of blood glucose levels according to ADA diagnostic criteria for T2DM (2017).
Carbohydrate intolerance was defined as a 2-hOGTT glucose level ≥7.8 mmol l-1 (mg dl-1).
Body composition, visceral adipose tissue, anthropometry study, OGTT-based parameters and cardiovascular risk factors are measured.
Tipo de estudo
Observacional
Inscrição (Real)
853
Critérios de participação
Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.
Critérios de elegibilidade
Idades elegíveis para estudo
18 anos a 70 anos (Adulto, Adulto mais velho)
Aceita Voluntários Saudáveis
N/D
Gêneros Elegíveis para o Estudo
Tudo
Método de amostragem
Amostra de Probabilidade
População do estudo
Subjects aged 18-70 years, who attended the Department of Endocrinology and Nutrition of the Clínica Universidad de Navarra from 2009-2014 for a check-up were offered to participate in the DICAMANO study
Descrição
Inclusion Criteria:
- Fasting glucose level ≤ 5.5 mmol l-1
- BMI ≥ 25
Exclusion Criteria:
- Type 2 diabetes mellitus
- Severe renal, liver or thyroid dysfunction
Plano de estudo
Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.
Como o estudo é projetado?
Detalhes do projeto
O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Body fat percentage and carbohydrate intolerance
Prazo: Baseline
|
Investigate whether body fat percentage estimated by air-displacement plethysmography (Bod-Pod®, Life Measurements, Concord, CA, USA) predicts postprandial carbohydrate intolerance early on in the metabolic dysregulation process. Body fat percentage (BF%) is calculated from body density by means of the Siri equation. |
Baseline
|
|
Neck circumference as screening tool
Prazo: Baseline
|
Examine the predictive value of neck circumference as screening tool for the selection of patients who are most likely to benefit from an oral glucose tolerance test (OGTT)
|
Baseline
|
Medidas de resultados secundários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Waist-to-hip ratio as screening tool
Prazo: Baseline
|
Examine the predictive value of waist-to-hip ratio as screening tool for the selection of patients who are most likely to benefit from an oral glucose tolerance test (OGTT).
Waist-to-hip ratio was calculated as waist circumference divided by hip circumference.
Waist circumference was measured at the midpoint between the iliac crest and the rib cage on the mid-axillary line, and hip circumference at the level of the greater trochanters was measured to the nearest millimetre using a flexible tape.
|
Baseline
|
|
Waist-to-height ratio as screening tool
Prazo: Baseline
|
Examine the predictive value of waist-to-height ratio as screening tool for the selection of patients who are most likely to benefit from an oral glucose tolerance test (OGTT).
Waist-to-height ratio was calculated as waist circumference divided by height.
|
Baseline
|
|
BMI as screening tool
Prazo: Baseline
|
Examine the predictive value of body adiposity index (BMI) as screening tool for the selection of patients who are most likely to benefit from an oral glucose tolerance test (OGTT).
BMI was calculated as weight in kilograms divided by height in meters squared.
|
Baseline
|
|
Body adiposity index as screening tool
Prazo: Baseline
|
Examine the predictive value of body adiposity index (BAI) ([hip circumference/height1.5]-18)
as screening tool for the selection of patients who are most likely to benefit from an oral glucose tolerance test (OGTT).
|
Baseline
|
|
Central fat depot and carbohydrate intolerance
Prazo: Baseline
|
Investigate whether central fat depot predicts postprandial carbohydrate intolerance early on in the metabolic dysregulation process.
Visceral and abdominal adiposity was quantified by the use of the abdominal bioelectrical impedance analysis device ViScan (Tanita AB-140, Tanita Corp., Tokyo, Japan).
|
Baseline
|
|
Central fat depot and cardiometabolic risk
Prazo: Baseline
|
Investigate whether a higher central fat depot is able to identify those individuals with higher inflammatory parameters (c-reactive protein, homocysteine and uric acid) and cardiovascular risk (higher rate of hypercholesterolemia, hypertension and/or obstructive sleep apnea). Body fat percentage (BF%) is calculated from body density by means of the Siri equation. |
Baseline
|
|
Body fat percentage and cardiometabolic risk
Prazo: Baseline
|
Investigate whether a higher body fat percentage is able to identify those individuals with higher inflammatory parameters (c-reactive protein, homocysteine and uric acid) and cardiovascular risk (higher rate of hypercholesterolemia, hypertension and/or obstructive sleep apnea). Body fat percentage (BF%) is calculated from body density by means of the Siri equation. |
Baseline
|
|
Prevalence of postprandial carbohydrate intolerance
Prazo: Baseline
|
Assess the prevalence of postprandial carbohydrate intolerance in individuals with normal fasting glycaemia
|
Baseline
|
|
Oral glucose tolerance test parameters and cardiometabolic profile
Prazo: Baseline
|
Verification of the utility of the two-hour OGTT glucose value to select those individuals with higher cardiometabolic risk (higher rate of hypercholesterolemia, hypertension and/or obstructive sleep apnea).
|
Baseline
|
|
Non-alcoholic fatty liver disease (NAFLD) and glucose dysregulation
Prazo: Baseline
|
Analyse the association between NAFLD and OGTT-based ß-cell function and insulin resistance in non-diabetic subjects.
|
Baseline
|
|
OGTT-based indices as screening tool of NAFLD
Prazo: Baseline
|
Examine whether OGTT-based ß-cell function and insulin resistance indices could be used as screening tools for the selection of patients who are most likely to benefit from a NAFLD-study.
|
Baseline
|
|
OGTT-derived glucose curve as screening tool of NAFLD
Prazo: Baseline
|
Examine whether the glucose response curve could be used as screening tool for the selection of patients who are most likely to benefit from a NAFLD-study.
|
Baseline
|
Colaboradores e Investigadores
É aqui que você encontrará pessoas e organizações envolvidas com este estudo.
Colaboradores
Investigadores
- Cadeira de estudo: Gema Frühbeck, PhD, Clinica Universidad de Navarra
- Investigador principal: Belén Pérez Pevida, MD, Clinica Universidad de Navarra
Publicações e links úteis
A pessoa responsável por inserir informações sobre o estudo fornece voluntariamente essas publicações. Estes podem ser sobre qualquer coisa relacionada ao estudo.
Datas de registro do estudo
Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.
Datas Principais do Estudo
Início do estudo (Real)
29 de janeiro de 2009
Conclusão Primária (Real)
28 de agosto de 2014
Conclusão do estudo (Real)
28 de janeiro de 2016
Datas de inscrição no estudo
Enviado pela primeira vez
6 de fevereiro de 2018
Enviado pela primeira vez que atendeu aos critérios de CQ
23 de abril de 2018
Primeira postagem (Real)
24 de abril de 2018
Atualizações de registro de estudo
Última Atualização Postada (Real)
25 de abril de 2018
Última atualização enviada que atendeu aos critérios de controle de qualidade
24 de abril de 2018
Última verificação
1 de fevereiro de 2018
Mais Informações
Termos relacionados a este estudo
Termos MeSH relevantes adicionais
Outros números de identificação do estudo
- 167/2016
Informações sobre medicamentos e dispositivos, documentos de estudo
Estuda um medicamento regulamentado pela FDA dos EUA
Não
Estuda um produto de dispositivo regulamentado pela FDA dos EUA
Não
Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .