A combined risk score enhances prediction of type 1 diabetes among susceptible children
Male
Infant, Newborn
610
Infant
Autoimmunity
Ketosis
ta3123
Risk Assessment
3. Good health
Islets of Langerhans
03 medical and health sciences
Diabetes Mellitus, Type 1
Neonatal Screening
0302 clinical medicine
Risk Factors
Child, Preschool
616
Humans
Insulin
Female
Genetic Predisposition to Disease
Child
Autoantibodies
DOI:
10.1038/s41591-020-0930-4
Publication Date:
2020-08-07T16:04:09Z
AUTHORS (414)
ABSTRACT
Type 1 diabetes (T1D)-an autoimmune disease that destroys the pancreatic islets, resulting in insulin deficiency-often begins early in life when islet autoantibody appearance signals high risk1. However, clinical diabetes can follow in weeks or only after decades, and is very difficult to predict. Ketoacidosis at onset remains common2,3 and is most severe in the very young4,5, in whom it can be life threatening and difficult to treat6-9. Autoantibody surveillance programs effectively prevent most ketoacidosis10-12 but require frequent evaluations whose expense limits public health adoption13. Prevention therapies applied before onset, when greater islet mass remains, have rarely been feasible14 because individuals at greatest risk of impending T1D are difficult to identify. To remedy this, we sought accurate, cost-effective estimation of future T1D risk by developing a combined risk score incorporating both fixed and variable factors (genetic, clinical and immunological) in 7,798 high-risk children followed closely from birth for 9.3 years. Compared with autoantibodies alone, the combined model dramatically improves T1D prediction at ≥2 years of age over horizons up to 8 years of age (area under the receiver operating characteristic curve ≥ 0.9), doubles the estimated efficiency of population-based newborn screening to prevent ketoacidosis, and enables individualized risk estimates for better prevention trial selection.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (51)
CITATIONS (109)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....