ABSTRACT
PURPOSE OF THE REVIEW: Current global information on incidence, prevalence, and mortality of type 1 diabetes (T1D) is limited, particularly in low- and middle-income countries. To address this gap in evidence, JDRF, Life for a Child, International Society for Pediatric and Adolescent Diabetes, and International Diabetes Federation have developed the T1D Index, which uses a Markov mathematical model, and machine learning and all available data to provide global estimates of the burden on T1D. This review assesses the methodology, limitations, current findings, and future directions of the Index. RECENT FINDINGS: Global prevalence was estimated at 8.4 million in 2021, with 1.5 million <20 years (y). T1D prevalence varied from 1.5 to 534 per 100,000, with T1D accounting for <0.1-17.8% of all diabetes in different countries. A total of 35,000 young people <25 y are estimated to have died at clinical onset of T1D from non-diagnosis. An estimated 435,000 people <25 y were receiving "minimal care." Health-adjusted life years (HALYs) lost for individuals diagnosed with T1D at age 10 y in 2021 ranged from 14 to 55 y. These results show that interventions to reduce deaths from non-diagnosis, and improve access to at least an intermediate care level, are needed to reduce projected life years lost. The results have significant uncertainties due to incomplete data across the required inputs. Obtaining recent incidence, prevalence, and mortality data, as well as addressing data quality issues, misdiagnoses, and the lack of adult data, is essential for maintaining and improving accuracy. The index will be updated regularly as new data become available.
Subject(s)
Diabetes Mellitus, Type 1 , Adult , Adolescent , Child , Humans , Diabetes Mellitus, Type 1/epidemiology , Global Health , Incidence , PrevalenceABSTRACT
BACKGROUND: It has been suggested that plant sterol absorption is increased in type 1 diabetes mellitus (T1DM) and that this may relate to the increased cardiovascular risk seen in T1DM. The cardiovascular benefit of lowering low-density lipoprotein-cholesterol with statin medication has also been shown to be influenced by plant sterol absorption. METHODS: The relationship between sterol concentrations, coronary artery disease (CAD), and the use of statin medications in T1DM was compared between participants with CAD (Minnesota codes 1.1, 1.2, 1.3, 4.1-4.3, 5.1-5.3, and 7.1; n = 82), from the Pittsburgh Epidemiology of Diabetes Complications (EDC) study, and those without (n = 213). Serum sterol concentrations reflecting cholesterol absorption (ß-sitosterol and campesterol) and synthesis (desmosterol and lathosterol) were assayed and analyzed by gas chromatography and were expressed as a ratio of total cholesterol (×10(3)). RESULTS: No differences were observed in markers of cholesterol absorption between individuals with and without CAD. In patients with CAD, significantly lower levels were observed for both sterol markers reflecting cholesterol synthesis compared with individuals without CAD [desmosterol: 0.34 vs 0.42, respectively (P = 0.003); lathosterol 0.47 vs 0.54, respectively (P = 0.019)]. Further stratification by statin medication use revealed significantly lower levels of synthesis-reflecting sterols in individuals taking statin medication, particularly those with CAD. CONCLUSIONS: Although previous reports suggest that higher levels of cholesterol absorption in T1DM potentially increase cardiovascular risk in this population, the present data suggest no differences in cholesterol absorption between T1DM individuals with and without CAD.