Panelists discuss how type 1 diabetes is diagnosed using autoantibody testing and the challenges clinicians face, including the common misdiagnosis of adults with type 1 diabetes as having type 2 diabetes due to age bias and the misconception that type 1 diabetes only occurs in childhood.
Panelists discuss how their study compared healthcare resource utilization between newly diagnosed patients with type 1 diabetes with and without prior type 2 diabetes misdiagnosis, using a retrospective claims database analysis to examine utilization patterns across different healthcare services.
Panelists discuss how patients with prior type 2 diabetes misdiagnosis showed significantly higher healthcare utilization rates across all categories (inpatient admissions, emergency visits, outpatient visits, lab procedures, and medications) compared to those correctly diagnosed with type 1 diabetes from the beginning.
Panelists discuss how to improve diagnostic accuracy through increased awareness and education among healthcare providers, simplifying antibody testing processes and identifying high-risk patients who should be screened for type 1 diabetes, including those with family history or other autoimmune conditions.
Panelists discuss how autoantibody testing has high diagnostic accuracy with nearly 100% conversion to hyperglycemia when two or more antibodies are present, though timing of testing is crucial and retesting may be necessary since antibody levels can fluctuate over time.
