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PubMedDate not supplied

Continuous glucose monitoring in managing diabetes in children.

Continuous glucose monitoring (CGM) devices have now been added to the repertoire of technological devices useful in the management of patients with diabetes. In this issue, Schiaffini and colleagues confirm and extend published data describing the benefits of CGM in diabetic children. Specifically, such monitoring enables clinicians to detect occult hypoglycemia not otherwise discernable with intermittent testing of blood glucose. Although results of monitoring are not yet available in real time, the data can be used to adjust insulin regimens to allow more effective glycemic control. This is especially important in the pediatric population for whom strict glycemic control has traditionally been limited owing to concerns about the negative effects of hypoglycemia on the developing central nervous system. Additionally, postprandial hyperglycemia can be more readily detected and controlled. CGM provides new and important information not necessarily provided by measurement of HbA1c, and will likely prove an indispensable adjunct to diabetes care. Finally, this procedure has potential applications in the diagnosis and management of patients with other metabolic disorders.

Blood Glucose↗

PubMed2005

Optimal timing for postprandial glucose measurement in pregnant women with diabetes and a non-diabetic pregnant population evaluated by the Continuous Glucose Monitoring System (CGMS).

OBJECTIVE: Using the Continuous Glucose Monitoring System (CGMS; Medtronic Minimed) for a group of pregnant women with and without glucose intolerance, we attempted to answer the following questions: (1) when does the physiological peak of postprandial glucose occur?; (2) do non-diabetic pregnant women and pregnant women with diabetes have different postprandial glucose profiles?; and (3) what is the optimal time for postprandial glucose measurement rated according to clinical outcome? METHODS: We included 53 pregnant women in our study. Based on the criteria of the German Diabetes Association (fasting, 5.0 mmol/L; 1-h, 10.0 mmol/L; 2-h, 8.6 mmol/L) we included 13 women with gestational diabetes, four with type 1 diabetes and 36 non-diabetic pregnant (NDP) women. Gestational and type 1 diabetics were classed as one group: pregnancy complicated by diabetes (PCD). Patients with carbohydrate intolerance underwent dietary counseling in accordance with the recommendations of the American Diabetes Association. Patients received a CGMS for use over 72 h. This was calibrated seven times a day with an Accu-Check. The pre- and postprandial glucose levels were documented at 15-min intervals for 3 h from the beginning of each meal. The postprandial data from the three meals were added. The group was divided according to three clinical outcome parameters: mode of delivery, birth weight percentile, and diabetes-associated complications. RESULTS: Statistically significant differences between groups were found for body mass index, fetal birth weight and oral glucose tolerance test. No significant differences were found for age, parity and gestational age, mode of delivery, and diabetes-associated complications. The sensor provided similar numbers of measurements in both groups (278+/-43 vs. 298+/-73, P = 0.507). The postprandial glucose peak was reached after 82+/-18 min in the non-diabetics vs. 74+/-23 min in the PCD group (not significant). Postprandial glucose values were normally slightly higher in PCD (not significant). We added the postprandial glucose values at each time interval for the three meals for each day. For the sum, there was a significant difference between the measurements at 120 min and at 135 min postprandial (P < 0.05). Dividing the group by clinical outcome showed a significant difference between the postprandial time intervals of 75 min and 105 min (P < 0.05). In addition, the time interval was different from 60 min to 135 min for the mode of delivery and birth weight percentile (P < 0.05). CONCLUSION: The 120-min interval is too long and has a lower correlation to clinical outcome parameters than earlier measurements. Our findings show that the optimal time for testing is between 45 and 120 min postprandial. Based on our practical experience and dietary recommendations, we would prefer a 60-min interval, because patients can calculate this more easily and can have more freedom to eat the recommended number of snacks.

Adult↗

PubMed2005

The continuous glucose monitoring sensor in neonatal intensive care.

OBJECTIVE: To determine the feasibility of continuous glucose monitoring in the very low birthweight baby requiring intensive care, as these infants are known to be at high risk of abnormalities of glucose control. METHOD: Sixteen babies were studied from within 24 hours of delivery and for up to seven days. RESULTS: The subcutaneous glucose sensors were well tolerated and readings were comparable to those on near patient whole blood monitoring devices. CONCLUSION: Continuous glucose monitoring is practical in neonates, giving detailed information about glucose control.

Biosensing Techniques↗

PubMedDate not supplied

Continuous glucose monitoring has left the station: are you onboard?

Continuous glucose monitoring (CGM) is a new technology that is poised to dramatically alter the practice of managing diabetes in the near future. To understand the potential utility of CGM in clinical practice, the goal for monitoring glucose must be redefined. Is obtaining a mere snapshot of the current blood glucose level a satisfactory goal? This differs substantially from a more comprehensive assessment of the patient's current (and immediate future) glycemic status that could be gained through real-time continuous monitoring. The diabetes educator will play a critical role in introducing and implementing the next generation of real-time CGM systems.

Blood Glucose↗

PubMed2005

Evaluation of a continuous glucose monitoring system in cats with diabetes mellitus.

A continuous glucose monitoring system (CGMS) was evaluated in 14 cats with naturally occurring diabetes mellitus. The device measures interstitial fluid glucose continuously, by means of a sensor placed in the subcutaneous tissue. All cats tolerated the device well and a trace was obtained on 15/16 occasions. There was good correlation between the CGMS values and blood glucose concentration measured using a glucometer (r=0.932, P<0.01). Limitations to the use of the CGMS are its working glucose range of 2.2-22.2 mmol/l (40-400 mg/dl) and the need for calibration with a blood glucose measurement at least every 12 h. When compared to a traditional blood glucose curve, the CGMS is minimally invasive, reduces the number of venepunctures necessary to assess the kinetics of insulin therapy in a patient and provides a truly continuous glucose curve.

Animals↗

PubMed2004

Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes.

Many women with diabetes notice changes in glucose control perimenstrually. To describe the pattern of changes in glucose control throughout the complete menstrual cycle, and the reproducibility of these changes, we performed a pilot study evaluating glycemic profiles continuously for three cycles in four women with type 1 diabetes. All participants had hemoglobin A1c <7.5% and regular menstrual periods off oral contraceptives. They used Medtronic MiniMed (Northridge, CA) Continuous Glucose Monitoring System (CGMS) devices continuously for three complete menstrual cycles, checked capillary glucose measurements six times daily, changed their own sensors every 3 days, and were seen seven times per menstrual cycle to download data and draw blood. Prolonged monitoring was safely carried out over three consecutive menstrual cycles. We observed two different patterns of glycemic control in relation to the menstrual cycle in these women. The first pattern, seen in two women, was characterized by increased frequency of hyperglycemia in the luteal phase. One of these women also had a hyperglycemic peak in the follicular phase. In the other two women, no characteristic cycle-related pattern was noted. The glucose profiles appeared reproducible between cycles in all women, but varied between women. Thus the menstrual cycle has a reproducible effect on glucose control in a subset of women with type 1 diabetes. Prolonged use of continuous glucose monitoring was safe in the subjects studied, and is the first method clinically available to monitor glucose control over prolonged periods in individuals with diabetes.

Adolescent↗

PubMed2003

Continuous glucose monitoring for treatment adjustment in diabetic pregnancies--a pilot study.

AIMS: To examine the efficacy of a continuous glucose monitoring (CGM) system for treatment adjustment in patients with diabetic pregnancy treated with insulin. METHODS: The study sample consisted of eight women with diabetic pregnancy, six with pre-pregnancy Type 1 diabetes mellitus and two with gestational diabetes (GDM), all being treated with multiple daily insulin injections. Gestational age ranged from 24 to 32 weeks. Data derived from the Continuous Glucose Monitoring System (MiniMed) for 72 h were compared with fingerstick glucose measurements (six to eight times a day), and treatment was adjusted on the basis of the findings. Two to four weeks later, the patients were re-evaluated with CGM. RESULTS: In the first part of the study, an average of 744+/-33 glucose measurements was recorded for each patient with CGM. The mean total time of hyperglycaemia (glucose level >7.7 mmol/l) undetected by the fingerstick method was 152+/-33 min/day. Nocturnal hypoglycaemic events (glucose level <2.7 mmol/l) were recorded in seven patients. Based on the additional information obtained by continuous monitoring, the insulin regimen was changed in all patients. CGM re-evaluation after treatment adjustment showed a reduction in undetected hyperglycaemia to 89+/-17 min/day and in nocturnal hypoglycaemic events, which were recorded in only one patient. CONCLUSIONS: Continuous glucose monitoring may diagnose high blood glucose levels and nocturnal hypoglycaemic events that are unrecognized by intermittent blood glucose monitoring and could serve as a useful tool for the long-term management of diabetic pregnancies. A large prospective study is needed to determine the clinical implications of this new monitoring technique.

Adult↗

PubMed2003

[Continuous glucose monitoring with type 1 diabetes mellitus].

BACKGROUND: Appropriate metabolic control of children with type 1 diabetes mellitus (DM) is based on frequent measurements of capillary glycemia. However, this method offers only partial information on fluctuations in glycemia during the day, while episodes of postprandial hyperglycemia and hypoglycemia, mainly nocturnal, go unnoticed. OBJECTIVES: To analyze pre- and postprandial blood glucose levels, as well as the presence and duration of hypoglycemic episodes in diabetic children aged more than 8 years old with more than one year of disease duration. METHODS: Seventeen patients of both sexes (mean age: 12 years old) with type 1 DM were monitored with the continuous glucose monitoring system (CGMS) during working days. Maximum values of pre- and postprandial glucose (1-3 hours after breakfast, lunch and dinner) were registered. Data were downloaded with a Com-station. RESULTS: The mean duration of sensor-wearing was 2.97 days. Pre- and postprandial values were high: mean preprandial values were between 144.9 and 160.5 mg % and mean postprandial values were between 230.4 and 248.8 mg %. The mean number of hypoglycemic episodes detected with the sensor was 4.9 compared with 1.8 detected with the glucometer (p < 0.05). Episodes of mainly nocturnal asymptomatic hypoglycemia were detected with a mean duration of 145 minutes during the night and 75 minutes during the day. CONCLUSIONS: The use of continuous subcutaneous glucose monitoring demonstrates that glycemic objectives are not achieved by conventional insulin therapy. It also shows that there are a high number of hypoglycemic episodes, most of which are asymptomatic.

Blood Glucose↗

PubMed2005

Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application.

BACKGROUND: Continuous glucose monitors (CGMs) collect detailed blood glucose (BG) time series, which carry significant information about the dynamics of BG fluctuations. In contrast, the methods for analysis of CGM data remain those developed for infrequent BG self-monitoring. As a result, important information about the temporal structure of the data is lost during the translation of raw sensor readings into clinically interpretable statistics and images. METHODS: The following mathematical methods are introduced into the field of CGM data interpretation: (1) analysis of BG rate of change; (2) risk analysis using previously reported Low/High BG Indices and Poincare (lag) plot of risk associated with temporal BG variability; and (3) spatial aggregation of the process of BG fluctuations and its Markov chain visualization. The clinical application of these methods is illustrated by analysis of data of a patient with Type 1 diabetes mellitus who underwent islet transplantation and with data from clinical trials. RESULTS: Normative data [12,025 reference (YSI device, Yellow Springs Instruments, Yellow Springs, OH) BG determinations] in patients with Type 1 diabetes mellitus who underwent insulin and glucose challenges suggest that the 90%, 95%, and 99% confidence intervals of BG rate of change that could be maximally sustained over 15-30 min are [-2,2], [-3,3], and [-4,4] mg/dL/min, respectively. BG dynamics and risk parameters clearly differentiated the stages of transplantation and the effects of medication. Aspects of treatment were clearly visualized by graphs of BG rate of change and Low/High BG Indices, by a Poincare plot of risk for rapid BG fluctuations, and by a plot of the aggregated Markov process. CONCLUSIONS: Advanced analysis and visualization of CGM data allow for evaluation of dynamical characteristics of diabetes and reveal clinical information that is inaccessible via standard statistics, which do not take into account the temporal structure of the data. The use of such methods improves the assessment of patients' glycemic control.

Adult↗

PubMed2003

Improved metabolic control in diabetic adolescents using the continuous glucose monitoring system (CGMS).

OBJECTIVE: To determine the utility of the continuous glucose monitoring system (CGMS) as an outpatient procedure to improve management of diabetes in adolescents. RESEARCH DESIGN AND METHODS: Twelve adolescents (mean age: 16.2 +/- 3 years) with poorly controlled type 1 diabetes (HbA(1c) > 8%) were included in this trial. Mean HbA(1c) during the previous year was 10.1 +/- 1.2%. Insulin treatment consisted of 2 or 3 daily injections in 10 cases and CSII in 2. At the beginning of the study, HbA(1c) was determined and low blood glucose index (LBGI) was calculated. Continuous glucose monitoring was performed for three days. After downloading and analyzing data, results were discussed with the patient and insulin treatment was adjusted. Two months later testing was repeated and all parameters were reassessed. RESULTS: Initial CGMS profiles demonstrated glycemic excursions unrecognized by capillary measurements in all twelve patients. Glycemia before and after meals varied from<60 mg/dL to > 200 mg/dL in 2 patients (2 episodes). Postprandial hyperglycemia exceeded 200 mg/dL in 10 patients (24 episodes). Prolonged overnight hyperglycemia was observed in 5 patients (7 episodes), dawn phenomenon in 4 patients (6 episodes) and nighttime hypoglycemia in 4 patients (4 episodes). A day-to-day reproducibility of glycemic profiles was observed in 8 patients. Then insulin treatment was adjusted according to CGMS data. Changes involved dose levels in 3 patients, insulin type in 7, number of injections, i.e. 3 instead of 2, in 5 or change from insulin injection to CSII in 1. Reassessment two months later demonstrated a significant reduction of glycemic excursions in 8 patients. HbA(1c) (m +/- SD) decreased from 10.3 +/- 2.1% to 8.75 +/- 1.06% (p<0.05). LBGI increased from 1.7 +/- 0.9 to 2.4 +/- 1.4 but the difference was not significant. CONCLUSIONS: Use of CGMS in diabetic adolescent outpatients achieved a significant improvement in metabolic control not only by providing accurate data for adjustment of insulin treatment but also by promoting patient communication and motivation.

Adolescent↗

PubMed2004

Assessment of hypoglycaemia awareness using continuous glucose monitoring.

AIMS: To investigate the possibility of assessing hypoglycaemia awareness in patients with Type 1 diabetes using continuous glucose monitoring. METHODS: Twenty patients with Type 1 diabetes were investigated. Ten patients with Type 1 diabetes and strongly impaired hypoglycaemia awareness were compared with 10 patients with intact hypoglycaemia awareness regarding quality of hypoglycaemia perception (number of undetected hypoglycaemic episodes per 24 h, glucose level < 3.3 mmol/l). Hypoglycaemia detection was assessed using the event function of the Continuous Glucose Monitoring System (CGMS; Medtronic MiniMed, Northridge, CA, USA). Patients were instructed to enter an event upon suspecting being hypoglycaemic. RESULTS: Satisfactory CGMS performance could be achieved [mean r = 0.893 between calibration measurements and CGMS data, mean absolute difference (MAD) = 20.6%], although artefacts were observable and had to be controlled. Hypoglycaemia unaware patients showed a significantly higher total number of hypoglycaemic episodes (P < 0.05), number of undetected hypoglycaemic episodes (P < 0.01), and mean glucose levels (P < 0.05). Even in aware patients, undetected hypoglycaemia was observable. No significant differences regarding occurrence of nocturnal hypoglycaemia were observable. CONCLUSIONS: The possibility of direct assessment of hypoglycaemia awareness using continuous glucose monitoring was demonstrated. Its application in clinical practice could be of use for assessing hypoglycaemia perception and evaluating the impact of treatment changes on hypoglycaemia awareness.

Adult↗

PubMed2007

A pilot trial in pediatrics with the sensor-augmented pump: combining real-time continuous glucose monitoring with the insulin pump.

Real-time continuous glucose monitoring and the insulin pump have been combined into the Sensor-Augmented Pump system (Medtronic MiniMed, Northridge, CA). This short-term pilot trial demonstrated that pediatric subjects with type I diabetes improved mean hemoglobin A1c (A1c) and glucose levels and reduced hypoglycemia and hyperglycemia using the Sensor-Augmented Pump system.

Adolescent↗

PubMed2003

Continuous glucose monitoring: reliable measurements for up to 4 days with the SCGM1 system.

Continuous glucose monitoring allows patients with diabetes to check their metabolic status throughout the day, including rarely monitored time periods, such as postprandial and nocturnal periods. The performance of a prototype of the novel SCGM1 System (Roche Diagnostics GmbH, Mannheim, Germany) employing the microdialysis technique was evaluated. Forty-two patients with type 1 diabetes participated in the study [29 males/13 females, age 34 +/- 9 years, duration of diabetes 16 +/- 11 years, glycated hemoglobin 7.7 +/- 1.2% (mean +/- SD)]. Forty-seven experiments were performed at four different investigational sites. A microdialysis catheter was inserted into the subcutaneous tissue of the patient's abdominal wall. Glucose was extracted from the interstitial fluid, and glucose levels were determined and stored by the SCGM1 System continuously for the duration of the experiment. Capillary blood glucose was measured frequently (at least 10 times per day) and used for linear retrospective calibration. The patients were instructed to maintain their normal diet and insulin therapy. Thirty experiments (mean duration 103 +/- 18 h) were analyzed in detail. The mean deviation of the calibrated glucose sensor values from the capillary blood glucose values (expressed as percent predicted error sum of squares) was <12.5% in 25 and <20% for all of the 30 experiments analyzed. The percent median absolute difference between the calibrated values and the reference values was <10% in 28 experiments, with a median of 5.8% for all 30 experiments. The error grid analysis of all 30 experiments showed that 99.5% of all 1,195 pairs' values were in zones A and B with only 0.2% in zone C and 0.3% in zone D. Thus the microdialysis technique employed by the SCGM1 System allows precise and accurate continuous glucose monitoring over prolonged periods of time. It appears also that effective monitoring of acute metabolic deteriorations is possible.

Adult↗

PubMed2004

Use of the Continuous Glucose Monitoring System to guide therapy in patients with insulin-treated diabetes: a randomized controlled trial.

OBJECTIVE: To show improved glycemic control in patients with insulin-treated diabetes after adjustments to the diabetes management plan based on either continuous glucose monitoring using the Continuous Glucose Monitoring System (CGMS) or frequent self-monitoring of blood glucose (SMBG) using a home blood glucose meter. PATIENTS AND METHODS: From January to September 2000, patients aged 19 to 76 years with insulin-treated diabetes were assigned to insulin therapy adjustments based on either CGMS or SMBG values. At the end of the study, patients in both groups used the CGMS for 3 days; these values were used to calculate measures of hypoglycemia. Repeated-measures analysis of variance with post hoc comparisons were used to test differences in hemoglobin A1c levels and hypoglycemia between the 2 study groups. RESULTS: A total of 128 patients were enrolled in the study. Nineteen discontinued study participation, leaving 51 in the CGMS group and 58 in the SMBG group. No significant differences were noted in demographics or baseline characteristics between the 2 groups. There were no significant differences in hemoglobin A1c levels between the CGMS group and the SMBG group at baseline (9.1% +/- 1.1% vs 9.0% +/- 1.0%, P = .70), and both groups showed statistically significant (P < .001) and similar (P = .95) improvement in hemoglobin A1c levels after 12 weeks of study. However, the CGMS group had a significantly shorter duration of hypoglycemia (sensor glucose, < or = 60 mg/dL) at week 12 of the study (49.4 +/- 40.8 vs 81.0 +/- 61.1 minutes per event, P = .009). CONCLUSION: Use of the CGMS to guide therapy adjustments in patients with insulin-treated diabetes reduces the duration of hypoglycemia compared with therapy adjustments guided by SMBG values alone.

Adult↗

PubMed2004

Continuous glucose monitoring: physiologic and pathophysiologic significance.

Diabetes mellitus is a complex disorder of the energy metabolism. In the present paper, we have tried to illustrate the changes in the regulation of blood glucose levels encountered in the two main types of diabetes: Type 2 (T2DM) and Type 1 (T1DM) diabetes mellitus, compared with healthy, non-diabetic subjects. For this we used the MiniMed CGMS (Continuous Glucose Monitoring System) which allows the continuous in vivo blood glucose measurement over a 3-day period. The study group comprised 19 diabetic patients (14 T1DM and 5 T2DM cases) and 4 non-diabetic controls. The recording in normal subjects showed a glycemic variation between 46 and 118 mg/dl, suggesting the existence of a strong and efficient glycemic control mechanism. In T2DM patients, both on diet only or on oral antidiabetic treatment, the oscillation of blood glucose levels was significantly higher compared to that recorded in non-diabetic subjects. In T1DM patients with stable metabolic control blood glucose fluctuations were comparable with those recorded in long-term type 2 diabetic patients but the "mean" values of blood glucose over 72 hours were lower. The CGMS is a valuable tool in the detection of unrecognized hypoglycemic episodes and hyperglycemic postprandial peaks and allows the patient and the health care team to adjust the treatment regimen in order to improve glycemic control. From our point of view, the CGMS could offer valuable information for the knowledge of glycemic regulation in normal people and for the diabetogenic mechanisms in prediabetic IGT and IFG patients.

Adolescent↗

PubMed1999

Continuous glucose monitoring used to adjust diabetes therapy improves glycosylated hemoglobin: a pilot study.

A 5-week pilot study was conducted to determine if continuous glucose monitoring could be used to improve glycemic control. A total of nine subjects with type 1 diabetes and HbA1c values greater than 8.5% completed the study. Subjects wore a continuous glucose monitor for two 1-week periods during the study. After each sensor use, changes to diet, insulin dosage and self-monitored blood glucose (SMBG) schedule were made. HbA1c decreased from 9.9% (S.D. = 1.1%) at baseline to 8.8% (S.D. = 1.0%) 5 weeks after baseline (P = 0.0006), but daily insulin usage was unchanged over the same period of time (P = 0.428). The glucose sensors performed accurately, with a median correlation of 0.92 and a mean absolute difference of 19.1% (S.D. = 9.0%). The continuous glucose profiles allowed identification of glucose patterns and excursions that helped direct changes in therapy. These treatment changes would not have been made on the basis of meter data alone and were effective in improving glucose control. Additional studies are needed to validate these findings. This pilot study highlights the potential for continuous glucose monitoring to provide the valuable information necessary to make therapy adjustments that can dramatically improve patients' glycemic control and reduce the risk of long-term complications.

Adolescent↗

PubMed2003

Continuous glucose monitoring for the evaluation of gravid women with type 1 diabetes mellitus.

OBJECTIVE: To compare the daily glycemic profile reflected by continuous and intermittent blood glucose monitoring in pregnant women with type 1 diabetes and to compare the treatment protocols based on the two monitoring methods. METHODS: The study sample consisted of 34 gravid patients at gestational weeks 16-32, with type 1 diabetes being treated by multiple insulin injections. Data derived from the continuous glucose monitoring system for 72 hours were compared with finger stick glucose measurements performed 6-8 times per day. During the study period, patients documented the time of food intake, insulin injections, and hypoglycemic events. Data on demographics, gravidity, parity, body mass index, hemoglobin A1c, and fructosamine levels were collected for each patient. RESULTS: An average (+/- standard deviation) of 780 +/- 54 glucose measurements was recorded for each patient with continuous glucose monitoring. The mean total time of hyperglycemia (glucose level greater than 140 mg/dL) undetected by the finger stick method was 192 +/- 28 minutes per day. Nocturnal hypoglycemic events (glucose level less than 50 mg/dL) were recorded in 26 patients; in all cases, there was an interval of 1-4 hours before clinical manifestations appeared or the event was revealed by random blood glucose examination. Based on the additional information obtained by continuous monitoring, the insulin therapeutic regimen was adjusted in 24 patients (70%). CONCLUSION: Continuous glucose monitoring can diagnose high postprandial blood glucose levels and nocturnal hypoglycemic events that are unrecognized by intermittent blood glucose monitoring and may serve as a basis for determining treatment regimens. A large, prospective study on maternal and neonatal outcome is needed to evaluate the clinical implications of this new monitoring technique.

Adult↗

PubMed2006

Value and limitations of the Continuous Glucose Monitoring System in the management of type 1 diabetes.

The CGMS (Continuous Glucose Monitoring System) is a portable device allowing continuous measuring of glucose. It provides recordings of at least 72 h, during which 288 measures/day are performed. Results are visualised in the form of a set of curves, illustrating the variations in blood glucose levels over time. The quality of the records has often been questioned by several authors. Some of the system's physiologically related limitations can be explained by the less than perfect coincidence of variations in glucose levels observed in the interstitial tissue, where CGMS measurings are done, and in the blood, where calibrations are performed. Other limitations, such as defects in accuracy or in reproducibility of tracings or premature curtailments of recordings, are due to technical weaknesses which were considerably improved during the past few years, particularly with regard to the quality of the electrodes providing a more stable signal over time. In clinical practice, CGMS is a tool for investigating the glycaemic patterns of diabetic patients in conjonction with SMBG. It allows the identification of overlooked hyper- or hypoglycaemia. Generally well accepted, it is a usefull tool to analyse the nocturnal period, or any situation where glucose checks are rare. The visual nature of its results provides a facilitating support in the discussion between the patient and the care-provider during consultations or educational sessions. CGMS utilisation was proposed for guiding treatment adjustment. At present, it is still difficult to state with certainty that this tool allows effective improvement in the metabolic control of patients with type 1 diabetes, in view of the paucity of controlled studies showing an impact on HbA1c values or on the frequency of hypoglycaemia, even if such a tendency emerges from most non-controlled intervention trials.

Blood Glucose↗