Real-life glycaemic profiles in non-diabetic individuals with low fasting glucose and normal HbA1c: the A1C-Derived Average Glucose (ADAG) study
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Real-life glycaemic profiles of healthy individuals are poorly studied. Our aim was to analyse to what extent individuals without diabetes exceed OGTT thresholds for impaired glucose tolerance (IGT) and diabetes.
In the A1C-Derived Average Glucose (ADAG) study, 80 participants without diabetes completed an intensive glucose monitoring period of 12 weeks. From these data, we calculated the average 24 h glucose exposure as time spent above different plasma glucose thresholds. We also derived indices of postprandial glucose levels, glucose variability and HbA1c.
We found that 93% of participants reached glucose concentrations above the IGT threshold of 7.8 mmol/l and spent a median of 26 min/day above this level during continuous glucose monitoring. Eight individuals (10%) spent more than 2 h in the IGT range. They had higher HbA1c, fasting plasma glucose (FPG), age and BMI than those who did not. Seven participants (9%) reached glucose concentrations above 11.1 mmol/l during monitoring.
Even though the non-diabetic individuals monitored in the ADAG study were selected on the basis of a very low level of baseline FPG, 10% of these spent a considerable amount of time at glucose levels considered to be ‘prediabetic’ or indicating IGT. This highlights the fact that exposure to moderately elevated glucose levels remains under-appreciated when individuals are classified on the basis of isolated glucose measurements.
KeywordsContinuous glucose monitoring Glucose monitoring Glycaemia in healthy individuals Non-diabetic glucose exposure Normoglycaemia
A1C-Derived Average Glucose
Continuous interstitial glucose monitoring
Fasting plasma glucose
Impaired glucose tolerance
Current understanding of normoglycaemia is largely based on studies of populations without diabetes, often with a small number of glucose measurements per individual. This results in limited insight into patterns of real-life glycaemia as experienced by healthy individuals. As new options in diabetes treatment increasingly focus on specific glucose profiles such as postprandial glycaemia, it is important to have a clearer understanding of what constitutes a normal glucose profile. Knowledge of how much time normoglycaemic individuals spend at different levels of glycaemia under real-life conditions is needed to serve as a benchmark for the more detailed study of impaired glycaemic states and the ability of novel treatments to normalise glucose profiles.
We therefore studied the glucose profiles of non-diabetic individuals who participated in the A1C-Derived Average Glucose (ADAG) study. This observational study included continuous interstitial glucose monitoring (CGM) under real-life conditions. Our aim was to analyse to what extent individuals without diabetes exceed OGTT thresholds for impaired glucose tolerance (IGT) and diabetes .
The ADAG study was conducted at ten centres in the USA, Europe and Africa from 2006 to 2008. The aim was to define the relationship between HbA1c and average glucose levels. A full description of the study has been published . The population for the present analysis consisted of the 80 non-diabetic control participants who completed the intensive glucose monitoring period of 12 weeks. The non-diabetic participants were selected on the basis of having no history of diabetes, a plasma glucose level ≤5.4 mmol/l (97 mg/dl) after an overnight fast and HbA1c <6.5%. The plasma glucose cut-off was chosen due to its high specificity for excluding diabetes without performing an OGTT .
The study was approved by the human studies committees at the participating institutions, and informed consent was obtained from all participants.
Glucose levels were assessed with two different methods during the study period. CGM (Medtronic Minimed, Northridge, CA, USA) was performed for at least 48 h at baseline and three times at 4 week intervals during the 12 week study period. Participants also measured an eight-point self-monitored blood glucose profile (preprandial, 90 min postprandial, pre-bedtime and 03:00 hours) using a handheld glucose meter (Glucose 201 Plus; HemoCue, Ängelholm, Sweden) during the days of CGM. This protocol yielded approximately 2,300 glucose values for each participant. The median time of CGM was 230 h per participant. All glucose concentrations presented are plasma glucose equivalents.
As an indicator of overall hyperglycaemia, the time spent above selected glucose thresholds was calculated for the first 24 h of each CGM monitoring period after the initial 2 h calibration period. The mean of these time periods was used. This was done for glucose concentrations corresponding to the different cut-off points in the diagnostic criteria, i.e. 6.1, 7.0, 7.8, 11.1 and 16.7 mmol/l (110, 126, 140, 200 and 300 mg/dl, respectively).
Pre- and postprandial measurements for self-monitored blood glucose (HemoCue) were used to calculate mean pre- and postprandial plasma glucose. Pre-breakfast plasma glucose was defined as fasting plasma glucose (FPG). HbA1c samples were analysed with four highly intercorrelated, DCCT-aligned assays, all of which have been approved by the National Glycohemoglobin Standardization Program (www.ngsp.org/, accessed 1 February 2010). The mean value at the end of the 12 week study period was used .
The study population had a mean age of 41 years (SD 13.8); 69% were women and 68% white, with mean HbA1c of 5.2% (SD 0.3), and mean BMI of 25.9 kg/m2 (5.5) for men and 25.0 kg/m2 (3.3) for women.
During the monitoring period, median FPG was 5.3 mmol/l with an interquartile range (IQR) of 4.9 to 5.6 mmol/l. Median preprandial plasma glucose was 5.3 mmol/l (IQR 5.1–5.6 mmol/l) and median postprandial plasma glucose was 6.0 mmol/l (IQR 5.7–6.3 mmol/l). Glucose variability during CGM, measured as mean (SD), was 0.8 mmol/l (0.2).
Time (per 24 h CGM period) spent above selected plasma glucose concentrations
PG, mmol/l (mg/dl)
Participants reaching PG levela, % (n)
Median time above PG level (min)a, b
We found that nearly all individuals without diabetes exceeded the IGT threshold of 7.8 mmol/l (140 mg/dl) at some point during the day and spent a median of 26 min (range 0 min to 6 h 52 min) per day above this level. We also found that one in ten individuals reached diabetic levels (11.1 mmol/l, 200 mg/dl). These findings suggest that glucose levels in persons without diabetes frequently reach IGT range concentrations and that a considerable proportion reach diabetic levels. Previous smaller studies have suggested similar patterns, albeit in more homogeneous populations. A study in 32 individuals with confirmed normal glucose tolerance found that seven participants (22%) reached glucose concentrations above 11.1 mmol/l (200 mg/dl) during an average of 28 days of CGM and that participants spent on average 42 min/day at glucose concentrations above 7.8 mmol/l (140 mg/dl) . In a smaller study, 15 hospital staff without known diabetes and monitored by CGM for 24 h were found to spend an average of 72 min/day with glucose levels higher than 7.0 mmol/l (126 mg/dl) .
During a standardised OGTT, it is well established that glucose concentrations can exceed 7.8 mmol/l in individuals with normal glucose tolerance in the time preceding the 2 h value . However, since the 75 g OGTT is an extreme glucose load compared with an average mixed meal with regard to glucose concentration and the simple carbohydrate content (fast uptake), our results, which were based on real-life monitoring over a prolonged period, add an important dimension.
The limitations of the current study include the absence of OGTTs to rule out diabetes with certainty or to classify participants as having IGT. Our fasting plasma glucose exclusion criterion has been shown to be highly specific for ruling out diabetes , but does not rule out the possibility that some of the participants could have had IGT. In addition, our HbA1c exclusion criterion of ≥6.5% has recently been proposed as the new diagnostic level for diabetes . At 5.2% (SD 0.3), mean HbA1c in the present population was considerably lower. Factors that cause glucose fluctuations, such as food intake, exercise, stress, or beta cell function and insulin sensitivity, were not examined in this study under free-living conditions. However, the present observations are relevant in public health terms, and to clinicians dealing with individuals with a wide, often unknown array of dietary and physical activity patterns.
Our results confirm that considerable variability of glucose levels exists even among individuals classified as not having diabetes. These findings may lead to speculation on the adequacy of current diagnostic practice and whether the use of multiple glucose measurements at different time points of the day or assessment of HbA1c would identify hyperglycaemic individuals more accurately. However, in the absence of data assessing the impact of these glucose profiles on clinical endpoints, the current study cannot establish whether periods of transient hyperglycaemia are part of normal variability or whether such periods affect the risk of progression to diabetes and development of diabetic complications.
When glucose levels are measured under real-life conditions in non-diabetic individuals, as defined by a very low level of FPG and HbA1c levels below 6.5%, these individuals are seen to spend a considerable amount of time with glucose levels classified as ‘dysglycaemic’ or even diabetic. Since chronic glucose exposure is considered to be one of the main mediators of long-term outcomes, including microvascular and cardiovascular disease, our findings demonstrate that exposure to moderately elevated glucose levels remains under-appreciated when individuals are classified on the basis of isolated glucose measurements. If no adverse outcomes attend these periods of hyperglycaemia, our findings suggest that it is common for persons who are regarded as ‘normoglycaemic’ by accepted current definitions to experience transient hyperglycaemia during everyday circumstances.
The ADAG study was supported by research grants from the American Diabetes Association and the European Association for the Study of Diabetes. Financial support was also provided by Abbott Diabetes Care, Bayer Healthcare, GlaxoSmithKline, sanofi-aventis Netherlands, Merck, Lifescan and Medtronic Minimed. Supplies and equipment were provided by Medtronic Minimed, Lifescan and HemoCue.
The Steno substudy was supported by research grants from the Sehested Hansen Foundation, the Clinical Development Foundation at Steno Diabetes Center and the Danish Diabetes Association.
Duality of interest
R. J. Heine is employed by and owns stocks of Eli Lilly and company. K. Borch-Johnsen is head of the Steno Diabetes Center, a hospital integrated in the Danish National Healthcare Service, but owned by Novo Nordisk. K. Borch-Johnsen holds shares in Novo Nordisk Inc. The other authors have no duality of interest associated with this manuscript.
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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