VOLUME 11 NUMBER 3 • SEPTEMBER 2014
125
SA JOURNAL OF DIABETES & VASCULAR DISEASE
REVIEW
UKPDS engines was acceptable, it had a poor calibration and a
tendency toward systematic overestimation of risk, particularly
in recent cohorts. The models with best external validity were
more contemporary but these had been validated in other patient
populations only once.
7
Conclusion
The quest for the appropriate approaches to assess cardiovascular
risk and thus prevent vascular complications in individuals
with diabetes is a continuing pursuit. Diabetes mellitus is not a
cardiovascular risk equivalent in all circumstances. The CVD risk is
not uniformly distributed in individuals with diabetes, but rather
follows a gradient. Adequately capturing this gradient depends on
the combination of individual risk factors.
Global risk assessment appears to be the way forward for
managingCVD risk among peoplewith diabetes. Both theADVANCE
and subsequent studies have provided evidence that existing
popular models derived from older cohorts were less accurate for
cardiovascular risk evaluation in contemporary population with
diabetes.
7
The recognition of this non-optimal performance and
other limitations of existing models have stimulated efforts to
develop new cardiovascular risk models (including the ADVANCE
model
14
) with improved predictive accuracy for people with
diabetes.
The ADVANCE model continues to enjoy the unique property
that it was developed from a contemporary multinational cohort of
people with diabetes, and has been successfully validated in another
recent multinational cohort of individuals with diabetes. Inclusion
of participants from developing countries in the ADVANCE cohort
highlights the potential of the ADVANCE risk model for assisting
cardiovascular risk-stratification efforts in many settings around the
world.
References
1. Moons K, Kengne AP, Grobbee DE, Royston P, Vergouwe Y, Altman D,
et al.
Risk
prediction models: II. External validation, model updating, and impact assessment.
Heart
2012: doi:10.1136/heartjnl-2011-301247.
2. Moons K, Kengne AP, Woodward M, Royston P, Vergouwe Y, Altman D,
et al.
Risk prediction models: I. Development, internal validation, and assessing the
incremental value of a new (bio)marker.
Heart
2012; doi:10.1136/heartjnl-2011-
301246.
3. Kengne AP, Patel A, Colagiuri S, Heller S, Hamet P, Marre M,
et al.
The Framingham
and UKPDS risk equations do not reliably estimate the probability of cardiovascular
events in a large ethnically diverse sample of patients with diabetes: the Action in
Diabetes and Vascular Disease: Preterax and Diamicron-MR Controlled Evaluation
(ADVANCE) study.
Diabetologia
2010;
53
: 821–831.
4. Echouffo-Tcheugui JB, Kengne AP, Sobngwi E. Cardiovascular risk evaluation tools
specific to population with diabetes.
Arch Intern Med
2012;
172
(6): 523–524.
5. Kengne AP, Echouffo-Tcheugui JB, Sobngwi E. Coronary artery calcium for
guiding statin treatment.
Lancet
2012;
379
: 60140–60148.
6. Kengne AP, Turnbull F, MacMahon S. The Framingham Study, diabetes mellitus
and cardiovascular disease: turning back the clock.
Prog Cardiovasc Dis
2010;
53
:
45–51. 10.1016/j.pcad.2010.02.010.
7. Van Dieren S, Beulens JW, Kengne AP, Peelen LM, Rutten GE, Woodward M,
et
al.
Prediction models for the risk of cardiovascular disease in patients with type 2
diabetes: a systematic review.
Heart
2012;
98
: 360–369. heartjnl-2011-300734
[pii] 10.1136/ heartjnl-2011-300734.
8. Truett J, Cornfield J, Kannel W. A multivariate analysis of the risk of coronary
heart disease in Framingham.
J Chronic Dis
1967;
20
: 511–524.
9. Stevens RJ, Kothari V, Adler AI, Stratton IM. The UKPDS risk engine: a model for
the risk of coronary heart disease in type II diabetes (UKPDS 56).
Clin Sci
(Lond)
2001;
101
: 671–679.
10. Haffner SM, Lehto S, Ronnemaa T, Pyorala K, Laakso M. Mortality from coronary
heart disease in subjects with type 2 diabetes and in nondiabetic subjects with
and without prior myocardial infarction.
N Engl J Med
1998;
339
: 229–234.
11. Bulugahapitiya U, Siyambalapitiya S, Sithole J, Idris I. Is diabetes a coronary risk
equivalent? Systematic review and meta-analysis.
Diabet Med
2009;
26
: 142–148.
12. Gaede P, Lund-Andersen H, Parving HH, Pedersen O. Effect of a multifactorial
intervention on mortality in type 2 diabetes.
N Engl J Med
2008;
358
: 580–591.
13. Gaede P, Vedel P, Larsen N, Jensen GV, Parving HH, Pedersen O. Multifactorial
intervention and cardiovascular disease in patients with type 2 diabetes.
N Engl J
Med
2003;
348
: 383–393.
14. Kengne AP, Patel A, Marre M, Travert F, Lievre M, Zoungas S, et al. Con temporary
model for cardiovascular risk prediction in people with type 2 diabetes.
Eur J
Cardiovasc Prev Rehabil
2011;
18
: 393–398. 10.1177/1741826710394270.
15. Lloyd-Jones DM. Cardiovascular risk prediction: basic concepts, current status,
and future directions.
Circulation
2010;
121
: 1768–1777. 121/15/1768 [pii]
10.1161/CIRCULATIONAHA.109.849166.
16. Echouffo-Tcheugui JB, Ogunniyi MO, Kengne AP. Estimation of absolute
cardiovascular risk in individuals with diabetes mellitus: rationale and approaches.
ISRN Cardiol
2011; 2011: 242656. 10.5402/2011/242656.
17. Howard BV, Best LG, Galloway JM, Howard WJ, Jones K, Lee ET,
et al.
Coronary
heart disease risk equivalence in diabetes depends on concomitant risk factors.
Diabetes Care
2006;
29
: 391–397.
18. Wannamethee SG, Shaper AG, Whincup PH, Lennon L, Sattar N. Impact of
diabetes on cardiovascular disease risk and all-cause mortality in older men:
influence of age at onset, diabetes duration, and established and novel risk
factors.
Arch Intern Med
2011;
171
: 404–410. 171/5/404 [pii] 10.1001/
archinternmed.2011.2.
19. Kothari V, Stevens RJ, Adler AI, Stratton IM, Manley SE, Neil HA,
et al.
UKPDS 60:
risk of stroke in type 2 diabetes estimated by the UK Prospective Diabetes Study
risk engine.
Stroke
2002;
33
: 1776–1781.
20. Asia Pacific Cohort Studies Collaboration. Systolic blood pressure, diabetes and
the risk of cardiovascular diseases in the Asia–Pacific region.
J Hypertens
2007;
25
: 1205–1213.
21. Asia Pacific Cohort Studies Collaboration. Cholesterol, diabetes and major
cardiovascular diseases in the Asia–Pacific region.
Diabetologia
2007;
50
: 2289–
2297.
22. Asia Pacific Cohort Studies Collaboration. Smoking, diabetes and cardiovascular
diseases in men in the Asia–Pacific Region. J Diabetes 2009; 1: 173–181.
23. Kengne AP, Batty GD, Hamer M, Stamatakis E, Czernichow S. Association of
C-reactive protein with cardiovascular disease mortality according to diabetes
status: pooled analyses of 25,979 participants from four U.K. prospective cohort
studies.
Diabetes Care
2012;
35
: 396–403. 10.2337/dc11-1588.
24. Coutinho M, Gerstein HC, Wang Y, Yusuf S. The relationship between glucose
and incident cardiovascular events. A metaregression analysis of published data
from 20 studies of 95,783 individuals followed for 12.4 years.
Diabetes Care
1999;
22
: 233–240.
25. Selvin E, Marinopoulos S, Berkenblit G, Rami T, Brancati FL, Powe NR, Golden SH.
Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes
mellitus.
Ann Intern Med
2004;
141
: 421–431.
26. Miettinen H, Haffner SM, Lehto S, Ronnemaa T, Pyorala K, Laakso M. Retinopathy
predicts coronary heart disease events in NIDDM patients.
Diabetes Care
1996;
19
: 1445–1448.
27. Van Hecke MV, Dekker JM, Stehouwer CD, Polak BC, Fuller JH, Sjolie AK, et
al. Diabetic retinopathy is associated with mortality and cardiovascular disease
incidence: the EURODIAB prospective complications study.
Diabetes Care
2005;
28
: 1383–1389.
28. Targher G, Bertolini L, Tessari R, Zenari L, Arcaro G. Retinopathy predicts future
cardiovascular events among type 2 diabetic patients: The Valpolicella Heart
Diabetes Study.
Diabetes Care
2006;
29
: 1178.
29. Juutilainen A, Lehto S, Ronnemaa T, Pyorala K, Laakso M. Retinopathy predicts
cardiovascular mortality in type 2 diabetic men and women.
Diabetes Care
2007;
30
: 292–299.
30. Anderson KM, Odell PM, Wilson PW, Kannel WB. Cardiovascular disease risk
profiles.
Am Heart J
1991;
121
: 293–28.
31. D’Agostino RB, Sr., Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, Kannel
WB. General cardiovascular risk profile for use in primary care: the Framingham
Heart Study.
Circulation
2008;
117
: 743–753.
32. Marre M, Lievre M, Chatellier G, Mann JF, Passa P, Menard J. Effects of low-dose
ramipril on cardiovascular and renal outcomes in patients with type 2 diabetes
and raised excretion of urinary albumin: randomised, double blind, placebo
controlled trial (the DIABHYCAR study).
Br Med J
2004;
328
: 495.
33. The ADVANCE Collaborative Group. ADVANCE Risk Engine. Available at http://
. Accessed on 04.06.2012
34. Chamnan P, Simmons RK, Sharp SJ, Griffin SJ, Wareham NJ. Cardiovascular risk
assessment scores for people with diabetes: a systematic review.
Diabetologia
2009;
52
: 2001–2014.