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1.
Diabetes Obes Metab ; 19(10): 1490-1494, 2017 10.
Article in English | MEDLINE | ID: mdl-28374511

ABSTRACT

This analysis investigated factors associated with the decrease in HbA1c in patients receiving continuous subcutaneous insulin infusion (CSII) in the OpT2mise randomized trial. In this study, patients with type 2 diabetes and HbA1c >8% following multiple daily injections (MDI) optimization were randomized to receive CSII (n = 168) or MDI (n = 163) for 6 months. Patient-related and treatment-related factors associated with decreased HbA1c in the CSII arm were identified by univariate and multivariate analyses. CSII produced a significantly greater reduction in HbA1c than MDI, and the treatment difference increased with baseline HbA1c. In the CSII arm, the only factors significantly associated with decreased HbA1c were higher baseline HbA1c (P < .001), geographical region (P < .001), higher educational level (P = .012), higher total cholesterol level (P = .002), lower variability of baseline glucose values on continuous glucose monitoring (P < .001) and the decrease in average fasting self-monitored blood glucose at 6 months (P < .001). These findings suggest that CSII offers an option to improve glycemic control in a broad range of patients with type 2 diabetes in whom control cannot be achieved with MDI. OpT2mise ClinicalTrials.gov number: NCT01182493 (https://clinicaltrials.gov/).


Subject(s)
Blood Glucose/metabolism , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/drug therapy , Insulin Infusion Systems , Insulin/administration & dosage , Adult , Aged , Blood Glucose/drug effects , Blood Glucose Self-Monitoring , Female , Humans , Injections, Subcutaneous , Male , Middle Aged , Treatment Outcome
3.
Diabetes Care ; 25(7): 1185-91, 2002 Jul.
Article in English | MEDLINE | ID: mdl-12087017

ABSTRACT

OBJECTIVE: Recent studies have confirmed that improved glycemic control decreases the risk of diabetic complications in type 1 and type 2 diabetic patients. The Minimed glucose sensor allows continuous 72-h glucose monitoring and represents a potentially important tool to improve diabetes management. Its use is currently limited to the health care team. Our aim was to evaluate the reproducibility of data provided by the device by comparing data provided by two sensors worn simultaneously by the same subject. RESEARCH DESIGN AND METHODS: A total of 11 subjects (6 type 1 and 3 type 2 diabetic patients and 2 healthy subjects) agreed to wear two sensors and perform at least four daily finger-stick glucose determinations during 72 h. The simultaneous glucose values provided by the sensors were compared. To determine the clinical implications of the glucose data, each day was divided into eight periods, and for each period the glucose range was rated as satisfactory, too high, or too low by a blinded clinician experienced in interpreting glucose sensor data in the clinical setting. The evaluation of glycemic levels based on the recordings of the two sensors were compared for each paired time interval. RESULTS: We discarded 18% of the sensor data for technical reasons. Examined as a group, the remaining 3,370 paired data points in all 11 patients were highly correlated (r = 0.84). However, when individual pairs were evaluated, large differences in the glucose values were apparent, with differences of >10% in 70% of the measurements and >50% in 7% of the measurements. Moreover, clinical evaluation of the glucose range provided simultaneously by two sensors was concordant for only 65% of the evaluation periods. CONCLUSION: In a real-life setting, the accuracy of data provided by the Minimed glucose sensor may be less than expected. To avoid therapeutic errors, sensor findings should be confirmed by independent means before clinical decisions are made.


Subject(s)
Blood Glucose Self-Monitoring/standards , Blood Glucose/analysis , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 2/blood , Blood Glucose/metabolism , Calibration , Circadian Rhythm , Humans , Monitoring, Ambulatory/methods , Observer Variation , Reference Values , Regression Analysis , Reproducibility of Results
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