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Episodic use of Real-Time
Continuous Glucose Monitoring
for endurance exercise by people
with Type 1 diabetes, including a
personal perspective
Daniel Seller (1,2), David O. Neal (1), Mark
Hargreaves (3), Alicia Jenkins (1)
(1) University of Melbourne, Dept. of Medicine (St.
Vincent’s Hospital), Melbourne, Australia;
(2) Physiotherapy Dept., St. Vincent’s Hospital, Melbourne,
Australia;
(3) University of Melbourne, Dept. of Physiology,
Melbourne, Australia
R
esearch studies have demonstrated that people with Type 1 diabetes derive greater
glycaemic benefit, specifically lower HbA1c levels, and possibly less hypoglycaemia, with use of real-time Continuous Glucose Monitoring (RT-CGM) to facilitate
insulin dosing delivered by either continuous subcutaneous insulin infusion (CSII) therapy or
multiple daily injections (MDI) (1-5). However glycaemic benefit, at least in clinical trials,
relates to the number of days per week the person with diabetes uses RT-CGM, usually with
60-70% or more time wearing and reacting to the RT-CGM system being required to derive
significant benefit (1,2). In the JDRF-CGM Study, significant predictors of HbA1c reduction
after 6-months RT-CGM use were adulthood, high RT-CGM usage time when first commenced on the technology and frequent pre-CGM-study blood glucose monitoring (3).
Although people with recurrent severe hypoglycaemia have often been excluded from RTCGM-trials, RT-CGM is also associated with at least a trend to less severe hypoglycaemia (2)
and less time with low interstitial fluid glucose (5).
While there is strong clinical trial evidence indicating that continuous RT-CGM use is likely
to improve glycaemia, because there are no subsidies for RT-CGM devices or sensors in our
region (Australia), the few people with diabetes who use RT-CGM often do so episodically.
However, we believe that a situation in which episodic RT-CGM use could be of benefit to
people with Type 1 diabetes is for prolonged exercise such as long-distance running or
cycling, and for safety critical situations in recreation (e.g. mountaineering, flying) or work
(e.g. high altitude work or long-distance truck driving). There are few reports of such RTCGM use, no clinical trials of which we are aware, and few recommendations available for
such use of RT-CGM.
In this article, we discuss the physiological response to aerobic exercise in people with and
without Type 1 diabetes, the glycaemic challenges of prolonged exercise, current guidelines for
endurance exercise by people with Type 1 diabetes, and the potential advantages and disadvantages of RT-CGM in endurance sports events. In addition, we describe an author’s (DS) personal experience of his Type 1 diabetes and RT-CGM use during training for, and participation
in a marathon.
The physiological response to aerobic exercise in people without diabetes
During an endurance event such as a marathon, performance is dependent on the mobilisation
and utilisation of fuels by contracting skeletal muscle, delivery of oxygen to those muscles and
the dissipation of heat. The major source of ATP for contracting skeletal muscle is the oxidation of glucose, derived either from intramuscular glycogen stores or from circulating plasma
Vol.7 No.1 2012
INFUSYSTEMS ASIA
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Editor in Chief
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Associate Editor
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Board Members
Fergus Cameron (Australia)
Arthur Charles (USA)
Neale Cohen (Australia)
Kyung Ah Han (Korea)
Alicia Jenkins (Australia)
Ryuzo Kawamori (Japan)
Bruce King (Australia)
Kisho Kobayashi (Japan)
Boniface Lin (Taiwan)
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Mitsuyoshi Namba (Japan)
David O'Neal (Australia)
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Hiroshi Uchino (Japan)
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CONTENTS
.
Episodic use of Real-Time
Continuous Glucose Monitoring
for endurance exercise by people
with Type 1 diabetes, including a
personal perspective ...................... 1
.
Strict Glycemic Control in
Japanese Type 2 Diabetes Patients
with Incretin-based Therapy –
Efficacy of Continuous Glucose
Monitoring for the secure transitransition and fine tuning .................... 6
Page 2
glucose. Lipid oxidation is also an important source of energy for skeletal muscle,
particularly during prolonged, low-intensity
exercise (6-8). During exercise, increases
in glucose delivery to muscle, secondary to
skeletal muscle hyperaemia, sarcolemmal
glucose transport due to glucose transporter
(GLUT4) translocation and intracellular
glucose disposal act in concert to enhance
skeletal muscle glucose uptake (7,8). This
occurs in an insulin-independent manner
and, in fact, circulating insulin levels fall
during exercise, in response to reductions in
blood glucose. Hepatic glucose output
increases in parallel with increasing muscle
glucose uptake, although during prolonged
strenuous exercise blood glucose levels can
fall, stimulating the release of the hormones
glucagon and adrenaline. Carbohydrate
ingestion increases blood glucose availability and enhances endurance exercise performance. With regular exercise training,
insulin sensitivity increases in both nondiabetic people and people with diabetes.
The physiological response to aerobic
exercise in people with Type 1 diabetes
The metabolic response to exercise is
essentially similar in people with Type 1
diabetes. However, with insulin therapy
using CSII or MDI, once the exogenous
insulin has been administered there is currently no means to lower circulating insulin
levels. Since exercise and insulin exert
additive effects on muscle glucose uptake,
there is the potential for premature and possibly severe hypoglycaemia during exercise
in people with Type 1 diabetes who have
not appropriately adjusted their insulin
dose, or ingested sufficient additional carbohydrate. Also, in Type 1 diabetes, particularly after years of the condition, there
may be an impaired counter-regulatory hormone (glucagon and adrenaline) response
to falling blood glucose levels. As already
mentioned, exercise increases insulin sensitivity (6), which while seen as an overall
benefit in health and diabetes management,
may increase hypoglycaemia risk during
exercise. As this heightened insulin sensitivity can be present for up to 72 hours postexercise (9), people with Type 1 diabetes
can be at increased risk of clinically significant hypoglycaemia, up to and beyond 24
hours after exercise, a phenomenon also
known as delayed onset or latent hypoglycaemia (6-9).
Another temporary common phenomenon
is that of post-exercise hyperglycaemia, due
to an imbalance between glycogenolysis
and the lower muscle demand for glucose.
This usually corrects itself (9), sometimes
to the point of hypoglycaemia, as insulin
causes muscle and liver to replenish their
glycogen stores from the plasma glucose
(8).
Vol.7 No.1 2012
Guidelines for managing Type 1
diabetes during prolonged exercise
Evidence-based recommendations for both
athletes with diabetes (whether elite, recreational, or novice) and their health-care
team are limited. In 2004, the American
Diabetes Association and the American
College of Sports Medicine released a joint
position statement (10) which outlined
some general guidelines for exercise around
three key points: 1) avoid physical activity
if blood glucose (BG) is >13.9mmol/L with
ketones, and use caution if BG is
>16.7mmol/L without ketones; consume
extra carbohydrates if BG is <5.5mmol/L;
2) identify when changes in insulin or food
intake are necessary, and know the glycaemic response to different physical activities; 3) consume extra carbohydrates as
needed to avoid hypoglycaemia, and have
carbohydrate-based foods readily available
during and after physical activity.
A position statement from the National
Athletic Trainers’ Association (9) makes 16
recommendations regarding athletes with
Type 1 diabetes, organised into categories:
diabetes care plans, training kit supplies,
pre-participation examination, prevention
and management of both hypoglycaemia
and hyperglycaemia, insulin administration,
travel recommendations, injuries, and glycaemic control. Although these guidelines
contain a number of useful practical considerations not otherwise discussed in the
exercise literature – such as air travel with
diabetes supplies – they do not contain
sport-specific recommendations for diabetes management during exercise, instead
recommending that each athlete has their
own specific diabetes care plan established.
Two textbooks which deal specifically with
people with diabetes undertaking
marathons are Colberg’s Diabetic Athlete’s
Handbook (7) , and Nagi’s Exercise and
Sport in Diabetes (6). Colberg recommends
insulin pump users decrease their basal
insulin on the morning of the event by 25100%, decrease pre-event meal bolus doses
by 25-75%, and post-event meal boluses by
25-50%, and keep basal rates reduced by
10-25% for the rest of the day, and
overnight following the event (7). Nagi
recommends decreasing the basal insulin
infusion rate by 50% or more, 30 minutes
before the event. Similar dosage adjustments could be used by MDI users6.
However, these recommendations represent
consensus opinion given the limited data
available.
A personal perspective of endurance
exercise with Type 1 diabetes
The runner (DS) was diagnosed with Type
1 diabetes as a 10 year old boy in 1989, and
has been using a Medtronic Paradigm
(MMT 722, Medtronic, Minimed,
Northbridge CA) insulin pump since
November 2004. Prior to undertaking a
marathon in 2010 at age 31 years, since
2003 he has trained for and undertaken a
number of endurance events, including: a
24-hour team cycle relay six times, a 24hour team swimming relay three times, a
five-day team kayaking relay, a number of
4-16km fun-runs, and one marathon. For
the marathon in 2009 he wore a Medtronic
Minilink RT-CGM (ParadigmTM Realtime system, Medtronic, Minimed,
Northbridge CA), linked to his insulin
pump – which he had worn previously on
six occasions, including training runs, and
one fun run. The preferred sensor insertion
site was the anterolateral abdomen, chosen
for ease of insertion, body contour and subcutaneous fat distribution, and to ensure
that the transmitter was near enough to the
pump, which he usually carried in a front
pocket.
Marathon training. The runner undertook a
16-week training program of three runs per
week, which gradually increased in distance and intensity for 13 weeks, with a 3week taper before the marathon. Each
training week consisted of a high-intensity
“interval run” session and a moderate-high
intensity “tempo run” session (each of 4060 minutes), and one low-moderate intensity “long run” for 90-180 minutes. Session
intensities were based on the previous
10km race pace, rather than heart-rate.
Based on experience in endurance exercise
events, his insulin pump basal rates for all
training sessions were decreased to 5% of
the usual rate, commencing 30-90 minutes
prior to the training run, depending on preceding BG trends. This basal rate adjustment regime was initially based on the
guidance of his Diabetes Nurse Educator
(DNE) involved with commencement of
pump therapy: to reduce the basal rate by
approximately 50%, 60 minutes prior to
exercise. While consistent with published
recommendations regarding basal rate
adjustments (6,7), pharmacokinetic data on
the effect of insulin pump basal rate adjustments on circulating insulin levels to guide
these recommendations is currently
extremely limited. Due to consistent hypoglycaemia early in exercise sessions, the
temporary basal rate was titrated down until
hypoglycaemia during exercise was avoided – to the current temporary basal rate of
5%.
The target BG prior to training was
8mmol/L, with no session started with a BG
less than 6mmol/L. For training sessions
under 60 minutes, if the BG was below
8mmol/L, or if hypoglycaemia had been
treated in the previous two hours, the pump
was disconnected for the session.
For long (16-32 km) training runs, the
Vol.7 No.1 2012
pump basal rate, initially reduced to 5% of
normal, was increased to 10% of normal in
the later weeks of the training period due to
a reduction in normal basal insulin doses
related to increased insulin sensitivity with
increased fitness. After running for approximately 90 minutes, the basal rate was
increased to 15-25% of the normal basal
rate (depending on BG) until the last 30
minutes, when 100% of the normal rate was
resumed. While not suggested in any published recommendations, it minimises the
author’s marked post-exercise hyperglycaemia: although still transiently rising up
to 14-16mmol/L in the hour immediately
after a long run, prior to adopting this
approach it would commonly rise as high as
20mmol/L. The author is considering a
temporary basal rate above 100%, or a
small bolus upon completion of the activity,
to further limit his post-exercise hyperglycaemia. Fingerprick BG testing was undertaken approximately two-hourly post-run
and once the glucose was decreasing the
insulin basal rate is again decreased, usually to 60-70% of the normal basal rate. This
rate was gradually increased by 10-15%
every four-six hours, until insulin requirements returned to normal, usually within
18-24 hours, with regular fingerprick BG
monitoring – including overnight testing.
During a long run, 1-2 energy gels (~2530gm carbohydrate each) are consumed–
depending on the distance of the session –
without an insulin bolus. The bolus dose
immediately following a session is reduced
by ~25%, with no correction given for
hyperglycaemia. Bolus doses after this are
given at the normal insulin to carbohydrate
ratios. BG testing is routinely performed
approximately hourly during long runs,
approximately 2-3 hourly following completion of the run, and usually once
overnight following long training runs.
Race day. The goal running time was four
hours or less. In the three days pre-event,
carbohydrate loading was undertaken –
with a diet consisting of predominantly low
glycaemic-index foods, such as pasta, and
rice – with normal insulin boluses given.
The RT-CGM sensor was inserted into the
anterolateral abdomen approximately 36
hours prior to the event – allowing adequate
time for settling in and calibration prior to
the event, yet attempting to minimise skin
irritation issues which had occurred with
previous RT-CGM use due to the adhesive
tapes. This site had been successfully used
during a fun-run previously. Figure 1
shows two days of the author’s RT-CGM
sensor results, from midnight prior to the
race, alongside the fingerprick BG results,
and absolute insulin dose (basal rate + bolus
doses). Percentage of normal basal insulin
infusion rate is also included to show relative insulin adjustments, as well as overall
duration of temporary basal rate use.
Overnight prior to the event, two BG tests
were done – to facilitate target BG levels
and to optimise sensor calibration at event
commencement. The basal rate was
reduced to 10% of normal 90 minutes
before the race start (Figure 1(a)). The RTCGM was briefly disconnected to reinforce
the adhesive tape at this time. Problems
related to this disconnection and reconnec-
Page 3
tion caused no RT-CGM signal for the following two hours, including the first 30
minutes of the race - as can be seen from
Figure 1 (b). During this time, a fingerprick
BG reading 20 minutes before the race start
was 11.8 mmol/L, and one energy bar (50g
carbohydrate) was consumed, with a
reduced bolus of 2.7 units of NovoRapid
(50% of predicted) given. After the first
5km, when the RT-CGM was still offline, a
fingerprick BG was 17.4mmol/L. This BG
reading was used to calibrate the RT-CGM
which came back online 15 minutes later,
approximately two hours after it had been
disconnected – which is the normal delay
cited by the manufacturer following connection prior to the first reading. A small
correction bolus (1.5 units NovoRapid
insulin) was given, and the temporary basal
rate increased to 20%, for 30 minutes. As
the then active RT-CGM showed a decreasing trend, the insulin basal rate was further
decreased to 15%, and a BG reading was
6.3mmol/L – with a corresponding RTCGM
reading
of
10.2mmol/L.
Approximately 20g rapid acting carbohydrate (jelly beans) was ingested. Energy
gels (25g of moderate glycaemic index carbohydrate) were consumed after running
12km, 24km, 30km, and 36km, with no
insulin boluses.
The race was completed in 3:56:45 at an
average running pace of 5 minutes 37 seconds per kilometre. The average heart rate
during the race was 169 beats per minute –
90% of the predicted maximum heart rate.
The median (range) BG reading from the
four fingerprick tests during the race was
9.4mmol/L (6.3 – 17.4mmol/L), compared
to a median (range) interstitial glucose
reading of 12.9mmol/L (10.1 –
Advantages of RT-CGM
Disadvantages of RT-CGM 17.3mmol/L) from 39 data points from the
RT-CGM. Delayed onset hypoglycaemia
• Monitoring trends makes it easier to • Cost: ~$80 per sensor for up to six was avoided, although there was a marked
hyperglycaemic excursion seen on RTproactively treat low or high BG levdays use
CGM trace following completion of the run
els
• Discomfort: skin reaction to adhe(Figure 1 (c)), with an associated finger• Easier to monitor the effects of
sive, both on sensor site, and tapes
prick BG reading of 14.6mmol/L. This
interventions (e.g. hypo. treatments) needed to secure transmitter
• Can guide targeted BG testing –
• Some difficulty with sensor insertion decreased shortly after, following the
lunchtime insulin bolus. The hypoglymay be more useful than routine test- - due to angle, fragility of sensor
caemic episodes late in the study period
ing
• Sensors prone to dislodge during
(Figure 1(d)) may have been due to the ear• Instant information
activity, due to weight of transmitter
lier bolus (e) in the setting of increased
• Downloadable: analysis of results
• Time lag: ~11 min. difference
insulin sensitivity.
helps to refine diabetes management between BG, and interstitial glucose
During this marathon, the plan was to perstrategies when used during event
levels, which are exacerbated with
form BG tests at approximately 14km intertraining
rapidly rising or falling BG
vals. Aside from the BG test at 5km, this
• Low glucose suspend function help- • Difference between absolute interplan was followed – otherwise relying on
ful if RT-CGM used with a compatible stitial and BG levels
the RT-CGM trend data to alert to the need
• Dropouts – both technological (e.g. for additional fingerprick BG tests, insulin
insulin pump
signal strength), and practical (e.g.
basal rate adjustments, or carbohydrate
disconnection to re-secure dressing) ingestion. When there was discordance
between the RT-CGM data and the BG –
which may partly reflect lag time – actions
Table 1: Advantages and Disadvantages of RT-CGM for endurance or safety critical were based on the BG reading with the
trend arrows providing additional perspecexercise.
tive. Performing BG tests “on the run” did
Vol.7 No.1 2012
Page 4
Figure 1: - RT-CGM trace, fingerprick blood glucose tests and insulin doses (basal & bolus) for 2010 Gold Coast Airport Marathon
(shaded area).
require much more concentration and dexterity in a field of thousands of runners than
it had in training – with the BG meter even
being dropped at one point, during a test.
While the high and low interstitial glucose
alarms of the RT-CGM were set at 9mmol/L
and 4.5mmol/L respectively, these were
ignored during the event – as the readings
were consistently triggering the high alarms
throughout the entire event, despite a fingerprick BG reading as low as 6.3mmol/L.
Discussion
Based on our reading of the literature, experiences of the author (DS) and of other athletes with Type 1 diabetes we believe that
episodic use of RT-CGM could be helpful
in endurance or safety critical exercise or
occupations. In the 2006 Race Across
America (RAAM), RT-CGM technology
(FreeStyle Navigator, Abbott, Abbott Park
IL) was used to augment fingerprick BG
readings by Team Type 1 (www.teamtype1.org) – a team of eight elite cyclists
with Type 1 diabetes11. Team Type 1 won
the open team event in a record time of 5
days, 16 hours and 4 minutes. There was
not a statistically significant change in
median glucose readings between either
pre-RAAM masked or unmasked phases of
their RT-CGM trial compared to the RAAM
phase. However, RT-CGM use was associated with significantly less hypoglycaemia:
in the masked RT-CGM period (preRAAM) 5.5% of interstitial fluid glucose
readings
were
below
60mg/dL
(3.3mmol/L), compared to 3.7% in the preRAAM unmasked period, and 2.7% in the
unmasked RAAM (race) period11. While
this reduction may equate to relatively few
hypoglycaemic episodes in daily life, the
detrimental impact of even one hypoglycaemic
episode during a competitive athletic event
such as RAAM could be quite profound.
Therefore, this reduction may provide a significant performance improvement to the
athlete with Type 1 diabetes if it were made
possible by the use of a RT-CGM system.
For people both with and without Type 1
diabetes, endurance events typically require
an extended period of committed training.
In addition to the increased aerobic fitness
from this training, other physiological
adaptations occur – such as increased
insulin sensitivity – which have implications for the athlete’s diabetes management
both while training and in day-to-day life.
Adjustments to the runner / author’s diabetes management strategy throughout
training were developed largely through
trial and error: as well as the limited evidence-based guidelines regarding diabetes
management strategies during exercise,
wide variability between people also limits
the applicability of those recommendations
which do exist. Some changes were technical – such as practicing the skill of performing BG tests and making pump adjustments
while running, or determining the best
method for carrying enough carbohydrate
both for nutrition and hypoglycaemia treatment without a bag. Some successful modifications in the diabetes management strategy, such as increasing the basal insulin
during the later stages of a run were somewhat unexpected. RT-CGM use during
training allowed confirmation of glucose
trends observed with BG testing, as well as
fine-tuning of the post-training basal insulin
management, to minimise the risks of
delayed-onset hypoglycaemia. While fingerprick BG testing is episodic during training or an event, the RT-CGM data are usually always available, with the interstitial
glucose value and trend arrows being
updated every five minutes. This allows
increased confidence of safety, and earlier
management of glycaemic fluctuations –
even if that consists of only a BG test to
confirm the RT-CGM trend data. RT-CGM
also facilitates monitoring of the effects of
insulin basal rate changes, carbohydrate
intake, and hypoglycaemia treatments.
Another major benefit of RT-CGM is the
ability for trend analysis during times when
regular BG monitoring is impractical, such
as overnight. This is particularly helpful
when gradually returning basal insulin rates
back to normal after a training session, to
minimise the risk of delayed onset hypoglycaemia. Furthermore, the ability to upload
RT-CGM data from the insulin pump (or
standalone RT-CGM system) to a webbased program allows detailed post-event
review, as well as evaluation and adaptation
of management strategies, or formulation of
new strategies.
While more frequent RT-CGM use would
likely provide even greater benefits when
preparing for an exercise event this is precluded for most by cost as there are no
Government or health insurance fund
rebates. Currently in Australia, RT-CGM
sensors which last six days cost approximately $80 each, and a transmitter for use
with a compatible insulin pump costs
$1250. A stand-alone RT-CGM device for
MDI users or those with a non-compatible
insulin pump is approximately twice this,
with the disposable glucose sensor costs
being the same. Additional technological
limitations exist – such as the inherent time
lag between blood and interstitial glucose
levels, reading inaccuracies, temporary signal drop-outs, and sensor failure.
Inaccuracies in readings may be caused by
poor calibration, and are known to be worse
at extremely high or low BG levels, and
Vol.7 No.1 2012
with rapidly changing BG, such as may
occur during exercise. Whilst a number of
current-generation RT-CGM systems are
equipped with trend alarms, the model used
for this event had only high and low glucose alarms – of limited value during events
which may precipitate rapid glycaemic
change such as in this study, and these were
largely ignored during the event. Recently
however, Iscoe et al reported that setting the
low glucose alarm at a higher level
(5.5mmol/L) significantly reduced the incidence of exercise-induced hypoglycaemia
compared to the routine low glucose alarm
setting of 4mmol/L, without triggering false
alarms (12) – so a similar strategy may be
worth considering for events such as this.
Signal drop-outs may be sensor-related, or
due to other practical issues – such as dislodgement due to the athlete’s movements,
or need to remove the transmitter to reinforce adhesive tapes. The size and weight
of most earlier and current generation RTCGM transmitters is greater than that of an
insulin pump infusion set, and coupled with
the fragility and sensitivity to movement
RT-CGM sensors require a larger and
stronger adhesive dressing than that used
for CSII therapy. This need is further exacerbated during physical activity – such as
running – which causes the transmitter to
bounce. A RT-CGM worn by the author in
his first marathon malfunctioned after the
first 500 metres of the event, most likely
due to the bouncing causing the weight of
the transmitter to pull the sensor out. This
problem could be lessened by a combined
insulin delivery and glucose sensing line.
Prolonged RT-CGM use may also lead to
skin irritation from adhesive film dressings,
particularly during warmer months or from
perspiration during physical activity. Our
experience using different products to
secure the sensor during a variety of events
has found tapes more effective than adhesive film dressings to secure the sensor and
transmitter to prevent movement and also
minimise build-up of perspiration. An
additional advantage of tapes is that they
can be applied in different orientations
across the sensor and transmitter (i.e. vertically or diagonally) to rest the skin. Table 1
summarises the advantages and disadvantages of RT-CGM use during preparation
for and participation in events such as a
marathon.
Conclusion
Most non-elite athletes who run marathons
or participate in other similar endurance
events rarely undertake more than one or
two per year – making refining diabetes
management strategies based on experience
alone a challenge. Despite some limitations, RT-CGM technology enables diabetes management strategies to be developed and refined with a far higher level of
evidence and precision than with BG testing alone. In day-to-day life with Type 1
diabetes RT-CGM has been found to provide the greatest glycaemic benefit with
more frequent use (1,2), but these highly
physiologically challenging but infrequent
endurance sporting events are a potentially
useful opportunity for episodic RT-CGM
use. RT-CGM use, sharing of the experiences, controlled clinical trials and the
refinement of evidence based guidelines for
exercise by intensively treated people with
Type 1 diabetes may be very beneficial to
participants and their diabetes-management
teams. Better glycaemic control during and
around exercise, and reduced fear of glycaemic excursions may encourage more
people with Type 1 diabetes to reap the
enjoyment and health benefits of exercise.
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Evaluating investigational medications from pharmaceutical companies on diabetic subjects
under FDA-approved study protocols.
. For Phase 1-4 Clinical Trials
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