Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes

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 Biomed...

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Main Authors: Marijana Vučić Lovrenčić, Vanja Radišić Biljak, Sandra Božičević, Edita Pape-Medvidović, Spomenka Ljubić
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:International Journal of Endocrinology
Online Access:http://dx.doi.org/10.1155/2013/206309
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author Marijana Vučić Lovrenčić
Vanja Radišić Biljak
Sandra Božičević
Edita Pape-Medvidović
Spomenka Ljubić
author_facet Marijana Vučić Lovrenčić
Vanja Radišić Biljak
Sandra Božičević
Edita Pape-Medvidović
Spomenka Ljubić
author_sort Marijana Vučić Lovrenčić
collection DOAJ
description 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.
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spelling doaj-art-efe16409fbb64a74a047a262fefd04bb2025-02-03T06:08:36ZengWileyInternational Journal of Endocrinology1687-83371687-83452013-01-01201310.1155/2013/206309206309Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 DiabetesMarijana Vučić Lovrenčić0Vanja Radišić Biljak1Sandra Božičević2Edita Pape-Medvidović3Spomenka Ljubić4Department of Laboratory Medicine, Institute of Medical Biochemistry and Laboratory Medicine, Merkur University Hospital, 10000 Zagreb, CroatiaDepartment of Laboratory Medicine, Institute of Medical Biochemistry and Laboratory Medicine, Merkur University Hospital, 10000 Zagreb, CroatiaDepartment of Laboratory Medicine, Institute of Medical Biochemistry and Laboratory Medicine, Merkur University Hospital, 10000 Zagreb, CroatiaVuk Vrhovac University Clinic, Merkur University Hospital, 10000 Zagreb, CroatiaVuk Vrhovac University Clinic, Merkur University Hospital, 10000 Zagreb, CroatiaPoint-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.http://dx.doi.org/10.1155/2013/206309
spellingShingle Marijana Vučić Lovrenčić
Vanja Radišić Biljak
Sandra Božičević
Edita Pape-Medvidović
Spomenka Ljubić
Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes
International Journal of Endocrinology
title Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes
title_full Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes
title_fullStr Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes
title_full_unstemmed Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes
title_short Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes
title_sort validation of point of care glucose testing for diagnosis of type 2 diabetes
url http://dx.doi.org/10.1155/2013/206309
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