Monte Carlo analysis was used to quantify the impact of these random errors by identifying SI profiles from data incorporating errors and comparing them to the true SI profile (without additional errors) at each patient hour. Timing error was estimated from recent, computerised clinical data. An error model was created for the Arkray Super-Glucocard II glucometer used in Christchurch from manufacturer supplied data. Retrospective clinical data was used from 270 patients of the Christchurch Hospital intensive care unit (ICU). This study assesses the impact of both measurement timing and BG sensor errors on identified values of SI and its hour-to-hour variability within the ICING-type glucose-insulin system models. As a parameter identified from clinical data, insulin sensitivity can be affected by blood glucose (BG) sensor error and measurement timing error, which can subsequently impact analyses or glycaemic variability during control. Results of this study show the possibility for routine, convenient for the patient quality control of SMBG in an outpatient clinic.Ī model-based insulin sensitivity parameter (SI) is often used in glucose-insulin system models to define the glycaemic response to insulin. In conclusion, good analytical performance of the employed glucose meters and a bias less than 10% from the reference values were found. Passing-Bablok agreement test and Deming regression analysis indicated good concordance of results between all the tested glucose meters and HemoCue analyzer, whereas good agreement with the laboratory method was found for Accutrend, Glucotrend, Precision QiD and One Touch glucose meters. Correlation coefficient between results obtained by the tested glucose meters and HemoCue analyzer ranged from 0.957 to 0.980 and between glucose meters and laboratory method from 0.955 to 0.985. The analytical bias of the glucose meters amounted from 2.48% to 8.27%. Glucose concentrations measured by the controlled glucose meters ranged from 36 to 425 mg/dL. Reference glucose assays were performed using glucose oxidase method on Hitachi 911 analyzer. Tested glucose meters included: Accutrend. 122 glucose meters readings were also compared with the reference laboratory method. In the study 158 glucose meters were controlled and compared with HemoCue glucose analyzer used in the clinic as the reference. The tests included: inspection of glucose meter, blood glucose self-measurement by a patient, glucose measurement by point-of-care analyzer used in a clinic and with the laboratory method. We present results of quality control of self-monitored blood glucose (SMBG) performed in diabetes outpatient clinic.
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