eag - estimated average glucose
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www.diabetes.org 1-800-DIABETES
Use of the
Estimated Average
Glucose (eAG) in
Patient Care
www.diabetes.org 1-800-DIABETES
A Typical Patient Encounter
“So, Mrs. Smith, it looks like you do have diabetes. Your repeat fasting blood sugar was 178, and as you recall the first one was 187. Over 126 is diabetes. Also, your hemoglobin A1c was way too high at 8.6%. Normal is less than 6%. We need to get it below 7%.”
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A Typical Patient Encounter
“What’s a hemoglobin A…whatever you said? I remember my hemoglobin was low when I was pregnant. What were those other numbers? What do you mean, 7%...of what?”
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G
G
G
GG
GGG
G
= __%GGG
GGG
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Uh…
???
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It’s Not Just Confusing forNewly Diagnosed Patients
• High levels of testing of HbA1c for patients with known diabetes (> 90%).
• Of patients with test in past 6 months:– 66% did not know result– 25% accurately reported within 1% range
(< 7%, 7-8%, 8-9%)– 9% inaccurately reported within 1% range
Heisler, Diabetes Care 28:816,2005
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The Clinical Dilemma
• HbA1c: useful for research, risk prediction, target of therapy
• Well standardized• HOWEVER, difficult to explain to patients • Concept of % is not intuitiveConcept of % is not intuitive
• Glucose more familiar to patients from Glucose more familiar to patients from self-monitoring or from laboratory glucose self-monitoring or from laboratory glucose resultsresults
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• We tell patients the HbA1c reflects their We tell patients the HbA1c reflects their “average glucose over 2-3 months”“average glucose over 2-3 months”
• But: do we know this for sure?But: do we know this for sure?
The Concept of Average GlucoseThe Concept of Average Glucose
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Study Year Cohort Study period(weeks)
Number of glucose tests
per patientper 1-3 months
Svendsen 1982 15 T1DM 5 200-300
Nathan 1984 21 T1DM 8 200-300
DCCT 2002 1439 T1DM 12 7
Hempe 2002 128 T1DM 4 80
Murata
Nathan
2004
2007
182 T2DM
22 T1DM3 Normals
8
12
180
24,000(CGMS)
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The A1C-Derived Average Glucose (ADAG) Study
International study designed to:• Carefully look at relationship between HbA1c and
average glucose
• Determine the mathematical relationship between the two for reliable conversion
• Establish that the relationship is valid across:- Diabetes types
- A wide range of HbA1c levels and age
- Different races/ethnicities Nathan et al, Diabetes Care 31:1473, 2008
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ADAG Study Centers
• Cameroon
• Denmark
• Italy
• The Netherlands
• United States– Boston
– New York
– San Antonio
– Seattle
• India (site dropped due to specimen handling issues)
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Participants in ADAG
• Goal was to recruit people with– Type 1 diabetes– Type 2 diabetes– No diabetes
• With a range of– Ethnicity/race– HbA1c levels
• Excluded those with conditions that would interfere with measurement/interpretation of HbA1c or glucose
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Measures of Glycemia in ADAG Study
• CGM (calibrated by 8-point glucose profiles with CGM (calibrated by 8-point glucose profiles with Hemocue meter) for at least 48 hours at baseline Hemocue meter) for at least 48 hours at baseline and every month for 3 monthsand every month for 3 months
• 7-point glucose profiles for 3 days per week with 7-point glucose profiles for 3 days per week with One Touch Ultra meterOne Touch Ultra meter
• HbA1c at baseline and monthly X 3 months with HbA1c at baseline and monthly X 3 months with DCCT-aligned assayDCCT-aligned assay in a central laboratory in a central laboratory
• Four measures of HbA1c to assure stable control, Four measures of HbA1c to assure stable control, but only final value used for correlation with prior but only final value used for correlation with prior 3 months’ glucose readings3 months’ glucose readings
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Total EnrolledTotal Enrolled 661661
Eliminated from analysisEliminated from analysis 154 (23%)154 (23%)
- Dropped out or excluded- Dropped out or excluded 91 (14%) 91 (14%) during studyduring study
- Inadequate CGM- Inadequate CGM 11 (2%)11 (2%)
- Inadequate HbA1c samples- Inadequate HbA1c samples 52 (8%)52 (8%)
ADAG Study FlowADAG Study Flow
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Type 1 Type 2 Non-DM Total
Number 268 159 80 507
Age 43 + 13 56 + 9 40 + 14 46 + 14
Gender (% F) 52%52% 50%50% 69%69% 54%54%
Race/Ethnicity
White 93% 73% 71% 83%
African/Af-Am 2% (5) 13% (21) 15% (12) 8% (38)
Hispanic 6% (15) 8% (12) 15% (12) 8% (39)
Treatment
Pump / ≥3 inject/day 47% / 53%
Diet only/ 10%
Oral agent only 52%
Insulin only 19%
Insulin & oral 19%
Baseline Characteristics of ADAGBaseline Characteristics of ADAG ParticipantsParticipants
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0
50
100
150
200
250
300
350
400
4-6.5 6.6-8.5 >8.5
Baseline HbA1c (%)Baseline HbA1c (%)
NumberNumber ofof
subjectssubjects
44%
18%
Normal
Diabetic
38%
ADAG Study: Distribution of BaselineADAG Study: Distribution of Baseline HbA1cHbA1c
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ADAG Study: Glucose Monitoring
• CGM – mean of ~ 2,400 measurements per participant
• LifeScan meter ~ mean of 300 measurements per participant– Mean of ~ 25 measurements per week– Goal was a minimum of 21 tests per week
• Total ~ 2,700 measurements/participant during 12 weeks
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ADAG Study: Analyses
• CGM results corrected upward by 5% to be consistent with BG
• Each glucose measure weighted in proportion to the inverse of total number of measurements on that day (each day had equal weight)
• Arithmetic mean glucose calculated for each participant
• Linear regression model used to estimate relationship between average glucose and the 3-month HbA1c
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ADAG Study: Study SuccessADAG Study: Study Success
90% of values fell within +/- 15%90% of values fell within +/- 15%
0
2
4
6
8
10
12
14
16
18
Ca
lc. A
G
(mm
ol/L
)
90% ofcohort valuesfall in this range
HbA1c (%)
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ADAG Study: Correlation of AG With HbA1c
AG
(m
g/d
l)
HbA1c (%)
AG (mg/dl) = 28.7 x HbA1c – 46.7 R2 = 0.84 P < 0.0001
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ADAG Study: Correlation of AG with HbA1c: CGM data vs. Meter
CGM calc. AG = 1.649x - 2.645
R2 = 0.768
0
2
4
6
8
10
12
14
16
18
3 4 5 6 7 8 9 10 11 12 13
Cal
c. A
G (m
mol
/L)
HbA1c (%)HbA1c (%)
No difference inrelationship (P=0.18) whether LifeScan orCGMS data used
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ADAG Study: Other Factors ExaminedADAG Study: Other Factors Examined
• Does the HbA1c-Average Glucose relationship differ Does the HbA1c-Average Glucose relationship differ
by:by:
- - Type 1 or type 2 diabetes Type 1 or type 2 diabetes NO NO
- Diabetes or no diabetes - Diabetes or no diabetes NONO
- Amount of glucose variability - Amount of glucose variability NONO
- Gender - Gender NONO
- - Age Age NONO
- Ethnicity/Race - Ethnicity/Race NONO
(but trend toward higher HbA1c per AG in African (but trend toward higher HbA1c per AG in African and African-American participants vs. whites, P=0.07)and African-American participants vs. whites, P=0.07)
- - Smoking Smoking NONO
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ADAG Study Excluded Known Sources of “Inaccuracy” of HbA1c
• Hemoglobinopathy• Anemia• Pregnancy• Hepatic or renal disease• Etc.
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ADAG Study Conclusion: ADAG Study Conclusion: HbA1c Correlates Highly With AGHbA1c Correlates Highly With AG
Measured HbA1c (%)
AG (mg/dl) = 28.7 x HbA1c – 46.7
50
100
150
200
250
300
350
400
450
3 4 5 6 7 8 9 10 11 12 13
AG
(m
g/d
l)
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• Tight correlation between HbA1c and AG Tight correlation between HbA1c and AG allows us to translate HbA1c into an allows us to translate HbA1c into an estimated Average Glucose (eAG)estimated Average Glucose (eAG)
• eAG will apply to the majority of patients eAG will apply to the majority of patients with diabeteswith diabetes– Barring “traditional” conditions interfering Barring “traditional” conditions interfering
with the assay or the relationship between with the assay or the relationship between glycemia and HbA1cglycemia and HbA1c
ImplicationsImplications
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ADAG Study: “Translation” of HbA1c into eAG
eAG HbA1c (%) (mg/dl) (mmol/l)_
5 97 5.46 126 7.07 154 8.68 183 10.29 212 11.810 240 13.4
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Note that the numbers are different
ADAG DCCTHbA1c (%) (mg/dl)___(mg/dl)______
6 126 1357 154 1708 183 2059 212 24010 240 275
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Consensus Statement FCC, EASD, IDF,Consensus Statement FCC, EASD, IDF, ADA Sept 2007)ADA Sept 2007)
Diabetes Care and Diabetologia, 2007
• HbA1c assay to be standardized worldwide using the new IFCC standard and expressed as:– % as currently used (DCCT values)– IFCC units in mmol HBA1c/mol HbA– eAG in mmol/l or mg/dL (if ADAG study meets its data
acceptability goals)
• This paved the way for reporting both HbA1c and EAG on lab reports
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What Won’t Change…And What’s NewWhat Won’t Change…And What’s New
• To a clinician, there is no change in the HbA1c assay
• To clinical chemists, there is a new IFCC standard in the background
• We have the potential for a valuable educational tool for patients
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A Typical Patient Encounter “So, Mrs. Smith, it looks like you do
have diabetes. Your average blood sugar is around 200. When people don’t have diabetes, this number is below 125. We need to work with you to try to get this number, the average glucose, down below 150 over the next few months with some weight loss, exercise, and a medication. Let’s talk some more about what you can do…”
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“Wow, I’m not happy to hearthat…I know that diabetes can do some bad things. Tellme what I can do to get myaverage glucose down.”
A Typical Patient Encounter
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What is ADA Doing to Promote Use of eAG in Patient Care?
• Health care provider education– ADA Scientific Sessions, June ’08– American Association of Clinical Chemists, August ‘08– AADE Annual Meeting, August ‘08– eAG calculators (handheld and on professional.diabetes.org)
• Patient education– Website– Diabetes Forecast magazine, books– Pamphlets and brochures– ADA will include term “average glucose” in all consumer pieces
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What Can Clinicians and Educators Do?
• Choose which term—A1C or Average Glucose—to use with each patient (some may already be used to A1C)
• In verbal communications, no need to say “estimated”
• We want to keep the A in A,B,Cs• Use updated table, calculator on
www.diabetes.org, or other tools to convert A1C to average glucose
• “Lobby” your lab to report both numbers
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What Can Clinical Chemists Do?
• Even with tools, most clinicians will not take the time to calculate conversions
• Reporting both HbA1c (DCCT-aligned) AND eAG on lab reports will do the most to promote wide use of the term
• Professional and patient education may drive demand
• Conversion is a simple regression equation
www.diabetes.org 1-800-DIABETES
Average GlucoseBlood pressureCholesterol
to help make the “A” understandable!
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