Advertisement

Accuracy and Predictive Value of Classification Schemes for Ketosis-Prone Diabetes

Response to Balasubramanyam et al.

  1. Cristian Fernández, MD,
  2. Marga Giménez, MD,
  3. Gonzalo Díaz, MD and
  4. Ignacio Conget, MD, PHD
  1. Endocrinology and Diabetes Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Hospital Clínic i Universitari, Barcelona, Spain
  1. Address correspondence to Dr. I. Conget, Endocrinology and Diabetes Unit, Villarroel 170, 08036 Barcelona, Spain. E-mail: iconget{at}clinic.ub.es

We have read with interest the study by Balasubramanyam et al. (1). They described a new classification scheme (Aβ classification) based on C-peptide levels and the presence or absence of β-cell autoantibodies to predict long-term β-cell function and insulin independence in patients who presented with diabetic ketoacidosis (DKA). They reported a sensitivity of 99.4%, a specificity of 95.9%, and a positive likelihood ratio (LR) of 24.55 in the total cohort of 294 subjects. In the subset of 138 subjects presenting with DKA as new-onset diabetes, 99.1%, 95.5%, and 21.79 sensitivity, specificity, and positive LR, respectively, were observed.

To evaluate the performance of this new classification in a Caucasian-Spanish population, 40 consecutive adult …

| Table of Contents
Advertisement