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1.
Diabetes Metab J ; 2024 03 22.
Article in English | MEDLINE | ID: mdl-38523249

ABSTRACT

Background: Recent diabetes subclassifications have improved the differentiation between patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus despite several overlapping features, yet without considering genetic forms of diabetes. We sought to facilitate the identification of monogenic diabetes by creating a new tool that we validated in a pediatric maturity-onset diabetes of the young (MODY) cohort. Methods: We first created the DIAgnose MOnogenic DIAbetes (DIAMODIA) criteria based on the pre-existing, but incomplete, MODY calculator. This new score is composed of four strong and five weak criteria, with patients having to display at least one weak and one strong criterion. Results: The effectiveness of the DIAMODIA criteria was evaluated in two patient cohorts, the first consisting of patients with confirmed MODY diabetes (n=34) and the second of patients with T1DM (n=390). These DIAMODIA criteria successfully detected 100% of MODY patients. Multiple correspondence analysis performed on the MODY and T1DM cohorts enabled us to differentiate MODY patients from T1DM. The three most relevant variables to distinguish a MODY from T1DM profile were: lower insulin-dose adjusted A1c score ≤9, glycemic target-adjusted A1c score ≤4.5, and absence of three anti-islet cell autoantibodies. Conclusion: We validated the DIAMODIA criteria, as it effectively identified all monogenic diabetes patients (MODY cohort) and succeeded to differentiate T1DM from MODY patients. The creation of this new and effective tool is likely to facilitate the characterization and therapeutic management of patients with atypical diabetes, and promptly referring them for genetic testing which would markedly improve clinical care and counseling, as well.

2.
Diabetes Care ; 45(10): 2360-2368, 2022 10 01.
Article in English | MEDLINE | ID: mdl-35994729

ABSTRACT

OBJECTIVE: To evaluate whether indexes of glycemic variability may overcome residual ß-cell secretion estimates in the longitudinal evaluation of partial remission in a cohort of pediatric patients with new-onset type 1 diabetes. RESEARCH DESIGN AND METHODS: Values of residual ß-cell secretion estimates, clinical parameters (e.g., HbA1c or insulin daily dose), and continuous glucose monitoring (CGM) from 78 pediatric patients with new-onset type 1 diabetes were longitudinally collected during 1 year and cross-sectionally compared. Circadian patterns of CGM metrics were characterized and correlated to remission status using an adjusted mixed-effects model. Patients were clustered based on 46 CGM metrics and clinical parameters and compared using nonparametric ANOVA. RESULTS: Study participants had a mean (± SD) age of 10.4 (± 3.6) years at diabetes onset, and 65% underwent partial remission at 3 months. ß-Cell residual secretion estimates demonstrated weak-to-moderate correlations with clinical parameters and CGM metrics (r2 = 0.05-0.25; P < 0.05). However, CGM metrics strongly correlated with clinical parameters (r2 >0.52; P < 0.05) and were sufficient to distinguish remitters from nonremitters. Also, CGM metrics from remitters displayed specific early morning circadian patterns characterized by increased glycemic stability across days (within 63-140 mg/dL range) and decreased rate of grade II hypoglycemia (P < 0.0001) compared with nonremitters. Thorough CGM analysis allowed the identification of four novel glucotypes (P < 0.001) that segregate patients into subgroups and mirror the evolution of remission after diabetes onset. CONCLUSIONS: In our pediatric cohort, combination of CGM metrics and clinical parameters unraveled key clinical milestones of glucose homeostasis and remission status during the first year of type 1 diabetes.


Subject(s)
Blood Glucose , Diabetes Mellitus, Type 1 , Adolescent , Blood Glucose/analysis , Blood Glucose Self-Monitoring , Child , Diabetes Mellitus, Type 1/chemically induced , Diabetes Mellitus, Type 1/drug therapy , Glycated Hemoglobin/analysis , Humans , Insulin/therapeutic use
3.
Diabetes Technol Ther ; 23(8): 565-576, 2021 08.
Article in English | MEDLINE | ID: mdl-33780640

ABSTRACT

Objective: Achieving good metabolic control in people with type 1 diabetes (T1D) remains a challenge, despite the evolutions in diabetes technologies over the past decade. Here we investigate the evolution of metabolic control in people with T1D, where care is provided by specialized centers with access to technology, diabetes education, and regular follow-up. Methods: Data were cross-sectionally collected between 2010 and 2018 from more than 100 centers in Belgium. The evolutions over time of hemoglobin A1C (HbA1c), low-density lipoprotein (LDL) cholesterol, and systolic blood pressure (SBP) were investigated, together with the evolutions of use of insulin pump (continuous subcutaneous insulin infusion [CSII]), continuous glucose monitoring (CGM), and lipid-lowering and antihypertensive drugs. Association of HbA1c with gender, age, diabetes duration, and technology use was analyzed on the most recent cohort. Results: The study population contained data from 89,834 people with T1D (age 1-80 years). Mean HbA1c decreased from 65 mmol/mol (8.1%) in 2010-2011 to 61 mmol/mol (7.7%) in 2017-2018 (P < 0.0001, adjusted for gender, age, diabetes duration, and technology use). Respectively, mean LDL cholesterol decreased from 2.45 mmol/L (94.6 mg/dL) to 2.29 mmol/L (88.5 mg/dL) (P < 0.0001, adjusted for gender, age, and diabetes duration), and mean SBP remained stable. CGM usage increased, whereas the use of CSII and lipid-lowering and antihypertensive drugs remained stable. Gender, age, diabetes duration, and technology use were independently associated with HbA1c. Conclusions: Our real-world data show that metabolic and lipid control improved over time in a system where T1D care is organized through specialized multidisciplinary centers with emphasis on linking education to provision of technology, and its quality is monitored.


Subject(s)
Diabetes Mellitus, Type 1 , Adolescent , Adult , Aged , Aged, 80 and over , Blood Glucose , Blood Glucose Self-Monitoring , Child , Child, Preschool , Diabetes Mellitus, Type 1/drug therapy , Glycated Hemoglobin/analysis , Humans , Infant , Insulin/therapeutic use , Insulin Infusion Systems , Middle Aged , Young Adult
4.
Rev Med Brux ; 31(2 Suppl): S65-70, 2010.
Article in French | MEDLINE | ID: mdl-21812217

ABSTRACT

Hypoglycemia is one of the most common acute complications in the treatment of type 1 diabetes. It is the result of a mismatch between insulin dose, food consumed, and recent exercise. Hypoglycemia occurs more frequently in younger children and with lower HbA1c levels. Symptoms of hypoglycemia result from autonomic (adrenergic) activation and/or neurological dysfunction (neuroglycopenia). Severe hypoglycemia means that the child is having altered mental status and cannot assist in his care, is semiconscious or unconscious, or in coma--convulsions and may require parenteral therapy (glucagon or i.v. glucose). The blood glucose threshold for symptoms may be affected by antecedent hypoglycemia, duration of diabetes with decrease in neurohormonal counterregulatory responses. This phenomenon is termed hypoglycemia unawareness and is an important cause of severe hypoglycemia. Fortunately, there is absence of adverse effects of severe hypoglycemia on cognitive function in children with diabetes over 18 months, even if some controversies exist. Severe hypoglycemia is rapidly reversed by injection of glucagon 0.5 mg if < 25 kg, 1.0 mg if > 25 kg. In the hospital, intravenous infusion of glucose should be administered, e.g. glucose 10%, 2-5 mg/kg/min (1.2-3.0 ml/kg).


Subject(s)
Diabetes Mellitus, Type 1/complications , Hypoglycemia/etiology , Hypoglycemia/prevention & control , Adolescent , Child , Diabetes Mellitus, Type 1/blood , Humans , Hypoglycemia/complications , Risk Factors , Severity of Illness Index
5.
Rev Med Brux ; 31(2 Suppl): S71-6, 2010.
Article in French | MEDLINE | ID: mdl-21812218

ABSTRACT

Diabetic ketoacidosis results from relative or absolute deficiency of insulin and is a frequent metabolic emergency. It occurs in previously undiagnosed diabetes, in half of the cases in Europe, or is the consequence of a severe unbalance in a well-known diabetic patient, who, deliberately or not, does not take enough or not at all insulin. In population studies, the mortality rate in children ranges from 0,15% to 0,30%, cerebral edema accounts for 60% to 90%. Three stages are described: ketosis, ketoacidosis, ketoacidotic coma. This paper summarizes the physiopathology as well as the clinical and biological signs. It opens up an algorithm for the management of diabetic ketoacidosis and its complications and indicates prevention methods.


Subject(s)
Diabetic Ketoacidosis/diagnosis , Diabetic Ketoacidosis/therapy , Child , Decision Trees , Diabetic Ketoacidosis/physiopathology , Humans
6.
Rev Med Brux ; 31(2 Suppl): S113-23, 2010.
Article in French | MEDLINE | ID: mdl-21812223

ABSTRACT

Type 2 diabetes mellitus (T2D) is no longer a disease only of adults. In some American locations and populations, incidence and prevalence of T2D are much higher than those of type 1 diabetes, because of increased calorie and fat intake, and decreased exercise. The increasing prevalence of T2D in the United States has closely paralleled the increase in childhood obesity noted there, but now across the Western world. Besides obesity, the other youth risk factors for T2D are: ethnicity, family history, puberty, female, metabolic syndrome, acanthosis nigricans and polycystic ovary syndrome. Any feature or condition associated with insulin resistance/hyperinsulinemia should alert to screen youth at increased risk for (pre)T2D. T2D should be differenciated from monogenic diabetes (Maturity Onset Diabetes of the Young or MODY). Treatment goals are to decrease weight and increase exercise, to normalize insulinemia, glycemia and HbA1c, to control hypertension and hyperlipidemia. The aim of the pharmacological therapy is to decrease insulin resistance, namely by metformin. Sometimes, insulin therapy is necessary.


Subject(s)
Diabetes Mellitus, Type 2/prevention & control , Adolescent , Adult , Child , Decision Trees , Diabetes Mellitus, Type 2/diagnosis , Humans , Insulin Resistance , Islets of Langerhans/abnormalities , Obesity/complications , Risk Factors , Young Adult
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