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Development of a clinical calculator to aid the identification of MODY in pediatric patients at the time of diabetes diagnosis

Shields, Beverley M. (author)
Univ Exeter, England,University of Exeter
Carlsson, Annelie (author)
Skanes Univ Hosp, Sweden,Skåne University Hospital
Patel, Kashyap (author)
Univ Exeter, England,University of Exeter
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Knupp, Julieanne (author)
Univ Exeter, England,University of Exeter
Kaur, Akaal (author)
Imperial Coll London, England,Imperial College London
Johnston, Des (author)
Imperial Coll London, England,Imperial College London
Colclough, Kevin (author)
Royal Devon Univ Healthcare NHS Fdn Trust, England,University of Exeter
Larsson, Helena Elding (author)
Lund University,Lunds universitet,Pediatrisk endokrinologi,Forskargrupper vid Lunds universitet,Paediatric Endocrinology,Lund University Research Groups,Skåne University Hospital,Lund Univ, Sweden; Skanes Univ Hosp, Sweden
Forsander, Gun (author)
Univ Gothenburg, Sweden; Sahlgrens Univ Hosp, Sweden,Queen Silvia Children’s Hospital,Sahlgrenska Academy
Samuelsson, Ulf (author)
Linköping University,Linköpings universitet,Avdelningen för barns och kvinnors hälsa,Medicinska fakulteten,Region Östergötland, H.K.H. Kronprinsessan Victorias barn- och ungdomssjukhus
Hattersley, Andrew (author)
Univ Exeter, England,University of Exeter
Ludvigsson, Johnny (author)
Linköping University,Linköpings universitet,Avdelningen för barns och kvinnors hälsa,Medicinska fakulteten,Region Östergötland, H.K.H. Kronprinsessan Victorias barn- och ungdomssjukhus
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 (creator_code:org_t)
NATURE PORTFOLIO, 2024
2024
English.
In: Scientific Reports. - : NATURE PORTFOLIO. - 2045-2322. ; 14:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Maturity Onset Diabetes of the Young (MODY) is a young-onset, monogenic form of diabetes without needing insulin treatment. Diagnostic testing is expensive. To aid decisions on who to test, we aimed to develop a MODY probability calculator for paediatric cases at the time of diabetes diagnosis, when the existing "MODY calculator" cannot be used. Firth logistic regression models were developed on data from 3541 paediatric patients from the Swedish 'Better Diabetes Diagnosis' (BDD) population study (n = 46 (1.3%) MODY (HNF1A, HNF4A, GCK)). Model performance was compared to using islet autoantibody testing. HbA1c, parent with diabetes, and absence of polyuria were significant independent predictors of MODY. The model showed excellent discrimination (c-statistic = 0.963) and calibrated well (Brier score = 0.01). MODY probability > 1.3% (ie. above background prevalence) had similar performance to being negative for all 3 antibodies (positive predictive value (PPV) = 10% v 11% respectively i.e. similar to 1 in 10 positive test rate). Probability > 1.3% and negative for 3 islet autoantibodies narrowed down to 4% of the cohort, and detected 96% of MODY cases (PPV = 31%). This MODY calculator for paediatric patients at time of diabetes diagnosis will help target genetic testing to those most likely to benefit, to get the right diagnosis.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

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