ECEESPE2025 Poster Presentations Diabetes and Insulin (143 abstracts)
Development and validation of diabetes interpreter, a mobile application-based tool for point-of-care evaluation of children with diabetes
Alapan Mahapatra 1 , Anurag Bajpai 1 , Proteek Sen 1 , Vibha Yadav 1 , Dhvani Raithatha 1 , Santosh Olety 2 , Rishi Shukla 1 , Jayati Jhala 3 , Ankita S 4 & Piyush Sharma 1
1Regency CDER, Pediatric Endocrinology, Kanpur, India; 2Karnataka Institute of Endocrinology and Research, Bengaluru, India; 3P D Hinduja Hospital and Research Center, Mumbai, India; 4Venkateswara Institute of Medical Sciences, Gajraula, India
JOINT2225
Background: Inappropriate classification of pediatric diabetes has significant short and long-term implications.
Aim: To develop and validate Diabetes Interpreter Application (DIA), a mobile tool for point-of-care guidance for classifying pediatric diabetes.
Methods: DIA provides suggestions for diagnosis and work-up based on clinical parameters (age at diagnosis, disease duration, presentation, and insulin requirement). The guidance of the DIA, an adult endocrinologist (AE), a senior Pediatric endocrinologist (SPE), a young pediatric endocrinologist (YPE), a pediatrician (PED), and a pediatric trainee (PT) were compared to the gold standard management and diagnosis of 302 children with diabetes (250 Type 1, 35 Type 2, six monogenic, and 11 neonatal).
Results: DIA had the highest concordance rate (score 596 out of 604, 98. 6%). The concordance score for SPE (546; 90. 4%) and YPE (491; 81. 3%) was higher than the AE (405; 67. 1%), PED (287; 47. 5%) and PT (258; 42. 7%). The proportion of correctly classified subjects with Type 1 diabetes was higher for the SPE (249, 99. 6%), DIA (247, 98. 8%), and AE (234, 93. 6%) compared to the YPE (214, 85. 6%), PED (229, 91. 6%) and PT (206, 82. 4%). Type 2 Diabetes was correctly classified by Diabetes Interpreter, YPE, AE, SPE, PED, and PT in 34 (97. 1%), 33 (94. 3%), 30 (85. 7%), 18 (51. 4%), 20 (57. 1%) and 14 (40%) subjects, respectively. The SPE classified 15 subjects (43%) with Type 2 Diabetes as Type 1 without autoimmune work-up in 5 (33. 3%). Work-up was suggested in a greater proportion of subjects not needing evaluation by PT (250, 100%), PED (245, 98%), and AE (124, 49. 6%) compared to SPE (8, 3. 2%), YPE (25, 10. 0%), and DI (3, 1. 2%). Autoimmunity work-up was not recommended in 28 (66. 7%) by the AE, 36 (85. 7%) by YPE, 11 (26. 2%) by SPE, and 1 (2. 4%) by Diabetes Interpreter where indicated.
Conclusion: The high concordance score of the Diabetes Interpreter suggests its role in point-of-care guidance for assessing children and adolescents with diabetes. Using the Diabetes Interpreter would have prevented diagnostic errors and unwarranted work-up. To the best of our knowledge, this is the first mobile application-based tool for pediatric and adolescent diabetes classification.
Volume 110
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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