Naslov
ACCURACY OF THE NOVA STATSTRIP POCT GLUCOSE ANALYZER FOR CLASSIFICATION OF FASTING HYPERGLYCAEMIA IN HIGH-RISK INDIVIDUALS

Autori
Vučić Lovrenčić, Marijana ; Božičević, Sandra ; Radišić Biljak, Vanja ; Pape-Medvidović, Edita

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Biochimica Clinica, Vol 37, Special Supplement / - , 2013, S576-s576

Skup
EUROMEDLAB 2013

Mjesto i datum
Milano, Italija, 19.05.2013. - 23.05.2013

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Diabetes; diagnosis; StatStrip; fasting glycaemia

Sažetak
Background and aim: Preanalytical sample handling is critical in obtaining accurate plasma glucose values, influenced substantially by in vitro glycolysis. Any delay in sample processing may result in reduced plasma glucose values and miss- classification of asymptomatic patients with diabetes and intermediate hyperglycaemia. Potential use of point-of-care glucose meters for diagnostic purposes has been considered to be unreliable due to insufficient accuracy. The aim of this study was to assess the performance of a POCT glucose analyzer specifically designed for hospital use (StatStrip Glucose, Nova Biomedical, USA), for classification of fasting hyperglycaemia in high-risk individuals. Methods: Fasting blood samples were taken from consenting subjects, referred to our clinic with a working diagnosis of hyperglycaemia. Venous and capillary sample collection and testing was performed within 5 minutes for the reference laboratory procedure (hexokinase, Olympus AU400, Beckman Coulter, USA) and StatStrip glucose measurement, respectively. WHO criteria for fasting plasma glucose were used to classify patients into diagnostic categories of glycaemia. Results: A total of 187 subjects (M/F: 85/102 ; age range 18-89, median 56 years) were included in this study. There were no differences between capillary and venous fasting plasma glucose values, as measured by the StatStrip glucose meter (7, 75±1, 86 vs. 7, 57±1, 88 mmol/L, p=0, 336). Passing-Bablok regression analysis revealed no difference between the laboratory (venous plasma) and StatStrip glucose values (capillary plasma) [regression equation: y=0, 261+0, 98x ; intercept A = 0, 2610, 95% CI = 0, 1-0, 62 ; Slope B = 0, 98 ; 95% CI = 0, 933- 1, 000), and cusum test showed no significant deviation from linearity (P>0, 10). Inter-rater agreement analysis showed very good agreement (weighted kappa=0, 883) between the methods when classifying subjects into diagnostic categories of normoglycaemia, impaired fasting glucose and diabetes mellitus by the fasting plasma glucose classification criteria. Conclusion: StatStrip POCT glucose analyzer could serve as an accurate and reliable tool for classification of fasting hyperglycaemia in high-risk individuals.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti

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