BACKGROUND: Children at high risk for developing type 1 diabetes (T1D) can be identified on the basis of human leukocyte antigen (HLA) genotype and the subsequent development of islet cell autoantibodies. Several studies have documented reduced incidence of diabetic ketoacidosis (DKA) in new-onset T1D when high-risk children are identified at an early age. Many have questioned whether general population screening for T1D risk should be standard of practice. We sought to perform a purely economic, cost-benefit analysis to determine if a screening program to reduce the incidence of DKA at diagnosis in children less than 5 yr is cost effective. METHODS: We compared the cost of population screening with the benefit of preventing DKA. The cost of screening included one-time HLA typing on the entire population followed by islet cell autoantibody testing in high-risk children every 6 months until age 5 yr. The potential benefits of screening included reductions in parental lost income, medical expenses, morbidity, and mortality. RESULTS: Screening for T1D risk for the sole purpose of reducing the cost of DKA at onset of T1D was not economically viable unless HLA testing and autoantibody testing could be performed for less than $1 and $0.03, respectively. CONCLUSIONS: Current screening costs far outweigh the economic benefits of preventing new-onset DKA in children under 5 yr of age.
BACKGROUND:Children at high risk for developing type 1 diabetes (T1D) can be identified on the basis of human leukocyte antigen (HLA) genotype and the subsequent development of islet cell autoantibodies. Several studies have documented reduced incidence of diabetic ketoacidosis (DKA) in new-onset T1D when high-risk children are identified at an early age. Many have questioned whether general population screening for T1D risk should be standard of practice. We sought to perform a purely economic, cost-benefit analysis to determine if a screening program to reduce the incidence of DKA at diagnosis in children less than 5 yr is cost effective. METHODS: We compared the cost of population screening with the benefit of preventing DKA. The cost of screening included one-time HLA typing on the entire population followed by islet cell autoantibody testing in high-risk children every 6 months until age 5 yr. The potential benefits of screening included reductions in parental lost income, medical expenses, morbidity, and mortality. RESULTS: Screening for T1D risk for the sole purpose of reducing the cost of DKA at onset of T1D was not economically viable unless HLA testing and autoantibody testing could be performed for less than $1 and $0.03, respectively. CONCLUSIONS: Current screening costs far outweigh the economic benefits of preventing new-onset DKA in children under 5 yr of age.
Authors: Brigitte I Frohnert; Michael Laimighofer; Jan Krumsiek; Fabian J Theis; Christiane Winkler; Jill M Norris; Anette-Gabriele Ziegler; Marian J Rewers; Andrea K Steck Journal: Pediatr Diabetes Date: 2017-07-11 Impact factor: 4.866
Authors: Ezio Bonifacio; Chantal Mathieu; Gerald T Nepom; Anette-G Ziegler; Henry Anhalt; Michael J Haller; Leonard C Harrison; Matthias Hebrok; Jake A Kushner; Jill M Norris; Mark Peakman; Alvin C Powers; John A Todd; Mark A Atkinson Journal: Diabetologia Date: 2016-10-26 Impact factor: 10.122
Authors: R Brett McQueen; Cristy Geno Rasmussen; Kathleen Waugh; Brigitte I Frohnert; Andrea K Steck; Liping Yu; Judith Baxter; Marian Rewers Journal: Diabetes Care Date: 2020-04-23 Impact factor: 19.112
Authors: Anette-G Ziegler; Ezio Bonifacio; Alvin C Powers; John A Todd; Leonard C Harrison; Mark A Atkinson Journal: Diabetes Date: 2016-11 Impact factor: 9.461
Authors: Valentino Cherubini; Julia M Grimsmann; Karin Åkesson; Niels H Birkebæk; Ondrej Cinek; Klemen Dovč; Rosaria Gesuita; John W Gregory; Ragnar Hanas; Sabine E Hofer; Reinhard W Holl; Craig Jefferies; Geir Joner; Bruce R King; Elizabeth J Mayer-Davis; Alexia S Peña; Birgit Rami-Merhar; Ulrike Schierloh; Torild Skrivarhaug; Zdenek Sumnik; Jannet Svensson; Justin T Warner; Nataša Bratina; Dana Dabelea Journal: Diabetologia Date: 2020-05-08 Impact factor: 10.460