Prediction of Glucose Concentration in Post-Cardiothoracic Surgery Patients Using Continuous Glucose Monitoring

2011 ◽  
Vol 13 (2) ◽  
pp. 127-134 ◽  
Author(s):  
Lukas Schaupp ◽  
Johannes Plank ◽  
Gerd Köhler ◽  
Roland Schaller ◽  
Christopher Wrighton ◽  
...  
Keyword(s):  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Glucose Monitoring ◽  
Cardiothoracic Surgery

scholarly journals Hemodialysis-Related Glycemic Disarray Proven by Continuous Glucose Monitoring: Glycemic Markers and Hypoglycemia

2021 ◽  
Author(s):  
Akinori Hayashi ◽  
Naoya Shimizu ◽  
Agena Suzuki ◽  
Kenta Matoba ◽  
Akari Momozono ◽  
...  
Keyword(s):  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Glycated Albumin ◽  
Glucose Monitoring ◽  
Glycemic Variability ◽  
Sensor Glucose ◽  
Time In Range ◽  
Deviation Coefficient ◽  
Glycemic Markers ◽  
Design And Methods

<b>OBJECTIVE</b> <p>There is a high risk of asymptomatic hypoglycemia associated with hemodialysis (HD) using glucose-free dialysate; therefore, the inclusion of glucose in the dialysate is believed to prevent intradialytic hypoglycemia. However, the exact glycemic fluctuation profiles and frequency of asymptomatic hypoglycemia using dialysates containing >100 mg/dL glucose have not been determined.</p> <p><b>RESEARCH DESIGN AND METHODS</b></p> <p>We evaluated the glycemic profiles of 98 type 2 diabetes patients undergoing HD (68 men, HbA1c 6.4±1.2%, glycated albumin 20.8±6.8%) with a dialysate containing 100, 125, or 150 mg/dL glucose using continuous glucose monitoring.</p> <p><b>RESULTS</b></p> <p>Sensor glucose level (SGL) showed a sustained decrease during HD, irrespective of the dialysate glucose concentration, and reached a nadir that was lower than the dialysate glucose concentration in 49 participants (50%). Twenty-one participants (21%) presented with HD-related hypoglycemia, defined by an SGL <70 mg/dL during HD and/or between the end of HD and their next meal. All these hypoglycemic episodes were asymptomatic. Measures of glycemic variability calculated using the SGL data (standard deviation, coefficient of variation, and range of SGL) were higher and time below range (<70 mg/dL) was lower in participants who experienced HD-related hypoglycemia than in those who did not, whereas time in range between 70 and 180 mg/dL, time above range (>180 mg/dL), HbA1c and GA of the two groups were similar.</p> <p><b>CONCLUSIONS</b></p> <p>Despite the use of dialysate containing 100–150 mg/dL glucose, diabetic HD patients experienced HD-related hypoglycemia unawareness frequently. SGL may fall well below the dialysate glucose concentration toward the end of HD.<br> </p>

scholarly journals The Bihormonal Bionic Pancreas Improves Glycemic Control in Individuals With Hyperinsulinism and Postpancreatectomy Diabetes— A Pilot Study

2021 ◽  
Author(s):  
Arpana Rayannavar ◽  
Lauren M. Mitteer ◽  
Courtney A. Balliro ◽  
Firas H. El-Khatib ◽  
Katherine L. Lord ◽  
...  
Keyword(s):  
Pilot Study ◽  
Glycemic Control ◽  
Usual Care ◽  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Glucose Monitoring ◽  
Congenital Hyperinsulinism ◽  
Open Label ◽  
Mean Glucose

<i>Objective:</i> To determine if the bihormonal bionic pancreas (BHBP) improves glycemic control and reduces hypoglycemia in individuals with congenital hyperinsulinism (HI) and post-pancreatectomy diabetes (PPD) compared with usual care (UC). <p><i>Methods</i>: Ten subjects with HI and PPD completed this open-label, crossover pilot study. Co-primary outcomes were mean glucose concentration and time with continuous glucose monitoring (CGM) glucose concentration <3.3 mmol/L.</p> <p><i>Results</i>: Mean (SD) CGM glucose concentration was 8.3 mmol/L (0.7) in the BHBP period vs. 9 mmol/L (1.8) in the UC period (p=0.13). Mean (SD) time with CGM glucose concentration <3.3 mmol/L was 0% (0.002) in the BHBP period vs. 1.3% (0.018) in the UC period (p=0.11). </p> <p><i>Conclusion</i>: Relative to UC, the BHBP resulted in comparable glycemic control in our population. </p>

scholarly journals The Bihormonal Bionic Pancreas Improves Glycemic Control in Individuals With Hyperinsulinism and Postpancreatectomy Diabetes— A Pilot Study

2021 ◽  
Author(s):  
Arpana Rayannavar ◽  
Lauren M. Mitteer ◽  
Courtney A. Balliro ◽  
Firas H. El-Khatib ◽  
Katherine L. Lord ◽  
...  
Keyword(s):  
Pilot Study ◽  
Glycemic Control ◽  
Usual Care ◽  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Glucose Monitoring ◽  
Congenital Hyperinsulinism ◽  
Open Label ◽  
Mean Glucose

<i>Objective:</i> To determine if the bihormonal bionic pancreas (BHBP) improves glycemic control and reduces hypoglycemia in individuals with congenital hyperinsulinism (HI) and post-pancreatectomy diabetes (PPD) compared with usual care (UC). <p><i>Methods</i>: Ten subjects with HI and PPD completed this open-label, crossover pilot study. Co-primary outcomes were mean glucose concentration and time with continuous glucose monitoring (CGM) glucose concentration <3.3 mmol/L.</p> <p><i>Results</i>: Mean (SD) CGM glucose concentration was 8.3 mmol/L (0.7) in the BHBP period vs. 9 mmol/L (1.8) in the UC period (p=0.13). Mean (SD) time with CGM glucose concentration <3.3 mmol/L was 0% (0.002) in the BHBP period vs. 1.3% (0.018) in the UC period (p=0.11). </p> <p><i>Conclusion</i>: Relative to UC, the BHBP resulted in comparable glycemic control in our population. </p>

scholarly journals Estimation of Blood Glucose Concentration During Endurance Sports

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Physical Activity ◽  
Blood Glucose ◽  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Interstitial Tissue ◽  
Endurance Sports ◽  
Convolution Integral Equation ◽  
Deconvolution Problem

In this paper, we describe a new statistical approach to estimate blood glucose concentration along time during endurance sports based on measurements of glucose concentration in subcutaneous interstitial tissue. The final goal is the monitoring of glucose concentration in blood to maximize performance in endurance sports. Blood glucose concentration control during and after aerobic physical activity could also be useful to reduce the risk of hypoglycemia in type 1 diabetes mellitus subjects. By means of a low invasive technology known as "continuous glucose monitoring", glucose concentration in subcutaneous interstitial tissue can now be measured every five minutes. However, it can be expressed as function of blood glucose concentration along time by means of a convolution integral equation. In the training phase of the proposed approach, based on measurements of glucose concentration in both artery and subcutaneous interstitial tissue during physical activity, the parameters of the convolution kernel are estimated. Then, given a new subject performing aerobic physical activity, a deconvolution problem is solved to estimate glucose concentration in blood from continuous glucose monitoring measurements

scholarly journals Interstitium versus Blood Equilibrium in Glucose Concentration and its Impact on Subcutaneous Continuous Glucose Monitoring Systems

2010 ◽  
Vol 10 (1) ◽  
pp. 36 ◽  
Author(s):  
Cosimo Scuffi ◽  
Keyword(s):  
Blood Glucose ◽  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Interstitial Fluid ◽  
Glucose Monitoring ◽  
Foreign Body Response ◽  
Monitoring Systems ◽  
Glucose Levels ◽  
Consequent Reduction ◽  
The Impact

The relationship between both interstitial and blood glucose remains a debated topic, on which there is still no consensus. The experimental evidence suggests that blood and interstitial fluid glucose levels are correlated by a kinetic equilibrium, which as a consequence has a time and magnitude gradient in glucose concentration between blood and interstitium. Furthermore, this equilibrium can be perturbed by several physiological effects (such as foreign body response, wound-healing effect, etc.), with a consequent reduction of interstitial fluid glucose versus blood glucose correlation. In the present study, the impact of operating in the interstitium on continuous glucose monitoring systems (CGMs) will be discussed in depth, both for the application of CGMs in the management of diabetes and in other critical areas, such as tight glycaemic control in critically ill patients.

scholarly journals Hemodialysis-Related Glycemic Disarray Proven by Continuous Glucose Monitoring: Glycemic Markers and Hypoglycemia

2021 ◽  
Author(s):  
Akinori Hayashi ◽  
Naoya Shimizu ◽  
Agena Suzuki ◽  
Kenta Matoba ◽  
Akari Momozono ◽  
...  
Keyword(s):  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Glycated Albumin ◽  
Glucose Monitoring ◽  
Glycemic Variability ◽  
Sensor Glucose ◽  
Time In Range ◽  
Deviation Coefficient ◽  
Glycemic Markers ◽  
Design And Methods

<b>OBJECTIVE</b> <p>There is a high risk of asymptomatic hypoglycemia associated with hemodialysis (HD) using glucose-free dialysate; therefore, the inclusion of glucose in the dialysate is believed to prevent intradialytic hypoglycemia. However, the exact glycemic fluctuation profiles and frequency of asymptomatic hypoglycemia using dialysates containing >100 mg/dL glucose have not been determined.</p> <p><b>RESEARCH DESIGN AND METHODS</b></p> <p>We evaluated the glycemic profiles of 98 type 2 diabetes patients undergoing HD (68 men, HbA1c 6.4±1.2%, glycated albumin 20.8±6.8%) with a dialysate containing 100, 125, or 150 mg/dL glucose using continuous glucose monitoring.</p> <p><b>RESULTS</b></p> <p>Sensor glucose level (SGL) showed a sustained decrease during HD, irrespective of the dialysate glucose concentration, and reached a nadir that was lower than the dialysate glucose concentration in 49 participants (50%). Twenty-one participants (21%) presented with HD-related hypoglycemia, defined by an SGL <70 mg/dL during HD and/or between the end of HD and their next meal. All these hypoglycemic episodes were asymptomatic. Measures of glycemic variability calculated using the SGL data (standard deviation, coefficient of variation, and range of SGL) were higher and time below range (<70 mg/dL) was lower in participants who experienced HD-related hypoglycemia than in those who did not, whereas time in range between 70 and 180 mg/dL, time above range (>180 mg/dL), HbA1c and GA of the two groups were similar.</p> <p><b>CONCLUSIONS</b></p> <p>Despite the use of dialysate containing 100–150 mg/dL glucose, diabetic HD patients experienced HD-related hypoglycemia unawareness frequently. SGL may fall well below the dialysate glucose concentration toward the end of HD.<br> </p>

scholarly journals Application of Continuous Glucose Monitoring for Assessment of Individual Carbohydrate Requirement during Ultramarathon Race

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1121
Author(s):  
Kengo Ishihara ◽  
Natsuki Uchiyama ◽  
Shino Kizaki ◽  
Emi Mori ◽  
Tsutomu Nonaka ◽  
...  
Keyword(s):  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Glucose Monitoring ◽  
Carbohydrate Intake ◽  
Running Speed ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Food And Drink ◽  
Average Glucose Concentration ◽  
Average Glucose

Background: The current study intended to evaluate the feasibility of the application of continuous glucose monitoring to guarantee optimal intake of carbohydrate to maintain blood glucose levels during a 160-km ultramarathon race. Methods: Seven ultramarathon runners (four male and three female) took part in the study. The glucose profile was monitored continuously throughout the race, which was divided into 11 segments by timing gates. Running speed in each segment was standardized to the average of the top five finishers for each gender. Food and drink intake during the race were recorded and carbohydrate and energy intake were calculated. Results: Observed glucose levels ranged between 61.9–252.0 mg/dL. Average glucose concentration differed from the start to the end of the race (104 ± 15.0 to 164 ± 30.5 SD mg/dL). The total amount of carbohydrate intake during the race ranged from 0.27 to 1.14 g/kg/h. Glucose concentration positively correlated with running speeds in segments (P < 0.005). Energy and carbohydrate intake positively correlated with overall running speed (P < 0.01). Conclusion: The present study demonstrates that continuous glucose monitoring could be practical to guarantee optimal carbohydrate intake for each ultramarathon runner.

Continuous glucose monitoring and haemoglobin A1c

2002 ◽  
Vol 39 (5) ◽  
pp. 516-517 ◽  
Author(s):  
Patrick Sharp ◽  
Sandra Rainbow
Keyword(s):  
Type 1 Diabetes ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Glucose Monitoring ◽  
Glucose Sensing ◽  
Continuous Glucose Monitoring System ◽  
Blood Profile ◽  
Sensor Glucose

Background: Measurement of HbA1c is the standard test for assessment of glycaemic control in diabetic subjects. Using new glucose sensing technology we re-evaluated the significance of HbA1c in terms of the aspects of the blood profile it measures in patients with diabetes. Methods: In a group of 27 patients with type 1 diabetes, interstitial fluid glucose concentrations were monitored for a mean of 2·6 days using the Continuous Glucose Monitoring SystemTM (MiniMed Inc, CA, USA). Results were correlated with an HbA1c measurement taken at the time of sensor insertion. Results: Results were available in 25 subjects, two datasets being lost due to patient error. There was a correlation between mean sensor glucose value, and the HbA1c value ( r=0·59, P=0·002). The correlation with standard deviation of the readings was weaker (r=0·3, P=0·15). No other descriptor of the sensor glucose concentration correlated with HbA1c. Conclusion: The mean interstitial glucose concentration recorded with the Continuous Glucose Monitoring System correlates with HbA1c level recorded at the time, but with no other marker of glucose control in diabetic subjects. These results have implications for the interpretation of HbA1c concentrations in type 1 diabetes.

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