Dysfunctional Adiposity and Glucose Impairment (DICAMANO)
24 april 2018 bijgewerkt door: 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.
Studie Overzicht
Toestand
Voltooid
Gedetailleerde beschrijving
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.
Studietype
Observationeel
Inschrijving (Werkelijk)
853
Deelname Criteria
Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
18 jaar tot 70 jaar (Volwassen, Oudere volwassene)
Accepteert gezonde vrijwilligers
NVT
Geslachten die in aanmerking komen voor studie
Allemaal
Bemonsteringsmethode
Kanssteekproef
Studie Bevolking
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
Beschrijving
Inclusion Criteria:
- Fasting glucose level ≤ 5.5 mmol l-1
- BMI ≥ 25
Exclusion Criteria:
- Type 2 diabetes mellitus
- Severe renal, liver or thyroid dysfunction
Studie plan
Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.
Hoe is de studie opgezet?
Ontwerpdetails
Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
Body fat percentage and carbohydrate intolerance
Tijdsspanne: 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
Tijdsspanne: 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
|
Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
Waist-to-hip ratio as screening tool
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: Baseline
|
Assess the prevalence of postprandial carbohydrate intolerance in individuals with normal fasting glycaemia
|
Baseline
|
|
Oral glucose tolerance test parameters and cardiometabolic profile
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
|
Medewerkers en onderzoekers
Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.
Medewerkers
Onderzoekers
- Studie stoel: Gema Frühbeck, PhD, Clinica Universidad de Navarra
- Hoofdonderzoeker: Belén Pérez Pevida, MD, Clinica Universidad de Navarra
Publicaties en nuttige links
De persoon die verantwoordelijk is voor het invoeren van informatie over het onderzoek stelt deze publicaties vrijwillig ter beschikking. Dit kan gaan over alles wat met het onderzoek te maken heeft.
Studie record data
Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.
Bestudeer belangrijke data
Studie start (Werkelijk)
29 januari 2009
Primaire voltooiing (Werkelijk)
28 augustus 2014
Studie voltooiing (Werkelijk)
28 januari 2016
Studieregistratiedata
Eerst ingediend
6 februari 2018
Eerst ingediend dat voldeed aan de QC-criteria
23 april 2018
Eerst geplaatst (Werkelijk)
24 april 2018
Updates van studierecords
Laatste update geplaatst (Werkelijk)
25 april 2018
Laatste update ingediend die voldeed aan QC-criteria
24 april 2018
Laatst geverifieerd
1 februari 2018
Meer informatie
Termen gerelateerd aan deze studie
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- 167/2016
Informatie over medicijnen en apparaten, studiedocumenten
Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel
Nee
Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct
Nee
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