RESUMO
AIM: To calculate a 30-year incidence rates of type 1 diabetes (T1D) in Sana'a city, Yemen during peace and wartimes. METHODS: A total of 461 patients aged between 8 months and 18 years with newly diagnosed diabetes were registered between 1989 and 2018. We used a standardized protocol for counting cases over time. The annual incidence rates (cases/100,000/year) were calculated from the number of new reported cases for each year divided by the estimated number of person-years "at risk" resident in Sana'a city, Yemen according to age and sex of the participants of that year. RESULTS: The mean annual incidence rate of T1D in children aged 0-14 years was 1.83/100,000/year. With the use of 3-year time-periods, the mean annual incidence rate was (5/100,000/year) in the first time-period, fluctuated between 1.2 and 2.3 during subsequent seven time-periods, and declined to (0.5/100,000/year) during the conflict years. The age-specific mean annual incidence rates for age-groups 0-4, 5-9, 10-14, and 15-18 years were 0.83, 1.82, 3.14, and 2.31/100,000/year, respectively. CONCLUSION: The mean annual incidence rate of T1D in children and adolescents over the observation period in Sana'a city was low. In children aged 0-14 years in particular, the incidence declined to a very low rate during wartime. Interpretation is partly limited by lack of recent census data, and the possibility of death from nondiagnosis at onset.
Assuntos
Diabetes Mellitus Tipo 1 , Adolescente , Criança , Diabetes Mellitus Tipo 1/epidemiologia , Humanos , Incidência , Lactente , Iêmen/epidemiologiaRESUMO
OBJECTIVE: To identify clinical phenotypes of type 2 diabetes (T2D) among adults presenting with a first diagnosis of diabetes. RESEARCH DESIGN AND METHODS: A total of 500 consecutive patients were subject to clinical assessment and laboratory investigations. We used data-driven cluster analysis to identify phenotypes of T2D based on clinical variables and Homeostasis Model Assessment (HOMA2) of insulin sensitivity and beta-cell function estimated from paired fasting blood glucose and specific insulin levels. RESULTS: The cluster analysis identified three statistically different clusters: cluster 1 (high insulin resistance and high beta-cell function group), which included patients with low insulin sensitivity and high beta-cell function; cluster 2 (low insulin resistance and low beta-cell function group), which included patients with high insulin sensitivity but very low beta-cell function; and cluster 3 (high insulin resistance and low beta-cell function group), which included patients with low insulin sensitivity and low beta-cell function. Insulin sensitivity, defined as median HOMA2-S, was progressively increasing from cluster 1 (35.4) to cluster 3 (40.9), to cluster 2 (76) (p<0.001). On the contrary, beta-cell function, defined as median HOMA2-ß, was progressively declining from cluster 1 (78.3) to cluster 3 (30), to cluster 2 (22.3) (p<0.001). Clinical and biomarker variables associated with insulin resistance like obesity, abdominal adiposity, fatty liver, and high serum triglycerides were mainly seen in clusters 1 and 3. The highest median hemoglobin A1c value was noted in cluster 2 (88 mmol/mol) and the lowest in cluster 1. CONCLUSION: Cluster analysis of newly diagnosed T2D in adults has identified three phenotypes based on clinical variables central to the development of diabetes and on specific clinical variables of each phenotype.