z-logo
open-access-imgOpen Access
Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes
Author(s) -
Marijana Vučić Lovrenčić,
Vanja Radišić Biljak,
Sandra Božičević,
Edita Pape-Medvidović,
Spomenka Ljubić
Publication year - 2013
Publication title -
international journal of endocrinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.875
H-Index - 60
eISSN - 1687-8345
pISSN - 1687-8337
DOI - 10.1155/2013/206309
Subject(s) - medicine , algorithm , glucose meter , point of care , kappa , artificial intelligence , diabetes mellitus , mathematics , computer science , endocrinology , pathology , geometry
Point-of-care (POC) glucose technology is currently considered to be insufficiently accurate for the diagnosis of diabetes. The objective of this study was to investigate the diagnostic accuracy of an innovative, interference-resistant POC glucose meter (StatStrip glucose hospital meter, Nova Biomedical, USA) in subjects with a previous history of dysglycaemia, undergoing a 75 g diagnostic oral glucose tolerance test (oGTT). Venous and capillary blood sampling for the reference laboratory procedure (RLP) and POC-glucose measurement was carried out at fasting and 2 h oGTT, and categories of glucose tolerance were classified according to 2006 WHO diagnostic criteria for the respective sample type. We found an excellent between-method correlation at fasting ( r = 0.9681, P < 0.0001) and 2 h oGTT ( r = 0.9768, P < 0.0001) and an almost perfect diagnostic agreement (weighted Kappa = 0.858). Within a total of 237 study subjects, 137 were diagnosed with diabetes with RLP, and only 6 of them were reclassified as having glucose intolerance with POC. The diagnostic performance of POC-fasting glucose in discriminating between the normal and any category of disturbed glucose tolerance did not differ from the RLP ( P = 0.081). Results of this study indicate that StatStrip POC glucose meter could serve as a reliable tool for the diabetes diagnosis, particularly in primary healthcare facilities with dispersed blood sampling services.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom