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

2006163 citationsJournal Article

Authors

Ashok Balasubramanyam · Ben Taub Hospital

Gilberto Garza · Ben Taub Hospital

Lucille Rodriguez · Baylor College of Medicine

Christiane S. Hampe · University of Washington Applied Physics Laboratory

Lakshmi K. Gaur · University of Washington Applied Physics Laboratory

Åke Lernmark · University of Washington Applied Physics Laboratory

Mario R. Maldonado

Abstract

The Abeta scheme has the highest accuracy and predictive value in classifying KPD patients with regard to clinical outcomes and pathophysiologic subtypes.

Topics & Keywords

Diabetes and associated disorders Diabetes Management and Research Pancreatic function and diabetes

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Diabetes Care

Volume 29, Issue 12, pp. 2575-2579

DOI: 10.2337/dc06-0749

Field-Weighted Citation Impact: 4.92