A mathematical model for stratification of LADA risk groups

Abstract

Aim. To stratify risk groups via discriminant analysis based on the most clinically relevant indications of LADA onset derived from medical history.Materials and Methods. Present study included 141 patients with diabetes mellitus (DM) of whom 65 had preliminary diagnosis of LADA, 40 patients were diagnosed with type 1 diabetes mellitus (T1DM) and 36 ? with type 2 diabetes mellitus (T2DM). Discriminant analysis was performed to evaluate the differences between the clinical onsets in study groups.Results. Aside from torpid onset with early evidence for insulin resistance, clinical characteristics of LADA included diagnosis during random examination, progressive loss of body mass, hyperglycemia greater than 14 mmol/L at the diagnosis and, possibly, ketonuria without history of acute ketoacidosis.Conclusion. Discriminant analysis is beneficial in stratifying risk groups for the development of LADA.

Keywords

• lada
• discriminant analysis
• diagnostics