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Brief Reports.
Volume 57, Issue 06, June 2004
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Coronary Risk Assessment in Subjects With Type 2 Diabetes Mellitus. General Population-Based Scores or Specific Scores?
Rubén Hernáeza; Lucía Choquea; Margarita Giméneza; Angels Costaa; Juan I Márqueza; Ignacio Congetb
a Servicio de Endocrinología y Diabetes. Hospital Clínic i Universitari. Barcelona b Servicio de Endocrinología y Diabetes. Hospital Clínic i Universitari. Barcelona. Área 3. Hígado, sistema digestivo y metabolismo. Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS). Barcelona. Spain.
Rev Esp Cardiol. 2004;57:577-80.
Coronary risk in patients with type 2 diabetes mellitus can be calculated using population-based scores or diabetes-specific scores. Our objective was to compare the results with both scores in a group of patients with type 2 diabetes and no history of cardiovascular disease. We analyzed the results for 101 patients aged 40 to 65 years with type 2 diabetes and no prior cardiovascular disease. Two scales were used, one based on the general population (Framingham function adapted from the REGICOR study), and the other based on the population with type 2 diabetes mellitus (UKPDS risk engine). The average 10-year likelihood of coronary events was 5.8 (2.5)% and 15.7 (8.4)% for the REGICOR risk score and the UKPDS risk score, respectively (P<.001), with a Pearson correlation coefficient of 0.525 (P<.01). Risk was higher in men (19.2 [8.7]% based on the UKPDS score, and 5.6 [2.8]% based on the REGICOR score, P<.001). The
figures for women were 11.3 [5.9]% and 5.9 [2.1]% with the UKPDS and REGICOR scores, respectively (P<.001). Our results suggest that substantially different findings are obtained when general population-based scores or specific scores are used to assess cardiovascular risk in subjects with type 2 diabetes.
Keywords: Cardiovascular risk. Coronary artery disease. Coronary heart disease risk functions. Type 2 diabetes mellitus.
INTRODUCTION
In
Spain, the prevalence of type 2 diabetes mellitus (DM2) in the
population older than 30 years old fluctuates around 6%-10%, and
half of the patients have not been
diagnosed.1,2
The
importance of DM2 in the social and health context is basically due
to it being a demonstrated risk factor for cardiovascular disease
(CVD). In patients with DM2, CVD is the leading cause of death, is
frequently encountered, and has a worse prognosis.3,4
Thus, the consensus is that the risk of a patient with DM2, but
without previous CVD, presenting a CVD episode is comparable to
that of a patient without DM2 and with known
CVD.5
The
most frequently used scale to estimate coronary risk derives from
the Framingham cohort. However, DM2 has recently been excluded from
this scale due to it being considered equivalent to coronary
disease.6 Although the reliability of the Framingham
scale as applied to different populations has been demonstrated, it
would be advisable to obtain functions derived from each population
to improve its precision.7 Thanks to Marrugat et
al,8 there is an equation calibrated for the Spanish
population for the Framingham scale which includes the presence or
absence of DM2, taking as the reference population the one used in
the Registre Gironí del Cor (REGICOR)
study.9
Our
aim was to compare the estimation of coronary risk obtained by
applying a scale based on the Spanish general population (REGICOR)
with another specific to patients with DM2 (UKPDS [United Kingdom
Prospective Diabetes Study] risk engine)10 to a sample
of patients with DM2 and no previous coronary disease.
PATIENTS AND
METHODS
From November 2002 to April 2003, 101 patients were consecutively
selected in our outpatient clinic. Patients with DM2 from 40 to 65
years old without previous cardiovascular disease were included and
variables covered sex, age, duration of DM2, hemoglobin glycosylate
(HbA1c), family history of early ischemic heart disease,
smoking, presence of atrial fibrillation, total cholesterol,
cholesterol bound to high-density lipoproteins (HDL-C), cholesterol
bound to low-density lipoproteins (LDL-C), triglycerides, systolic
blood pressure (SAP), and treatment with hypolipemics, platelet
aggregation inhibitors and hypotensives. All the patients had an
electrocardiogram (ECG) done during the previous year and were
placed on a special diet and given oral hypoglycemics and insulin
therapy as treatment for DM2.
Coronary risk at 10 years was estimated with the REGICOR equation
that includes the variables sex, age, the presence or absence of
DM2, total cholesterol, SAP and diastolic blood pressure, smoking
and a correction based on the value of HDL-C on the obtained total
result. We also used a specific scale for the diabetic population
(UKPDS risk engine version 1.0). This scale includes the variables
sex, age, ethnic group, duration of DM2 in years, HbA1c,
smoking, SAP, presence of atrial fibrillation, total cholesterol,
and HDL-C.
Data analysis was done with the Statistical Package for Social
Sciences (SPSS) version 10. Quantitative variables were expressed
as mean±SD. Dummy qualitative variables were presented as
percentages. Mean differences were calculated with Student's
t test and statistical significance was established at
P<.05. Pearson's test was used to obtain correlation between
variables.
RESULTS
Sample characteristics are shown in the Table. Seventy-nine percent
of the patients included in the study did not smoke. Forty-nine
percent received treatment with hypotensives, 58% received
hypolipemics and 24% received platelet aggregation inhibitors.
Taking the recommendations of the American Diabetes Association as
the reference, 17.8% of the sample presented SAP lower than 130 mm
Hg; 54.1% had LDL-C lower than 130 mg/dL; 18.4%, LDL-C lower than
100 mg/dL; 84%, HDL-C higher than 40 mg/dL; and 61.4%,
triglycerides lower than 150 mg/dL. Regarding glycemic control
53.5% of the sample had HbA1c values below
7.0%.
Average coronary risk at 10 years estimated with UKPDS was
15.7±8.4% in our patients, whereas this was 5.8±2.5%
(P<.001) with REGICOR. A significant correlation was
found between the estimations, with r=0.525
(P<.01). Coronary risk at 10 years was 19.2±8.7%
versus 5.6±2.8% (P<.001) in males and
11.3±5.9% versus 5.93±2.1% (P<.001) in
females, with the UKPDS and the REGICOR scales,
respectively.
DISCUSSION
Our
data suggest that when applying a scale for calculating coronary
risk based on the general population to a group of patients with
DM2 but no previous CVD, the results obtained differ from those
obtained with a scale specific for DM2.
To
date, some comparisons have been made (not in Spain) between
general scales applied to patients with DM2 with varying
results.11,12 When applying coronary risk scales to
patients with DM2 but without previous CVD we are ignoring the
equivalence of coronary risk this metabolic disease is supposed to
have. This assumption, mainly based on the study by Haffner et
al,5 has been called into question in recent
years.13-15 The limitations of this study and the
publication of new ones with different results has revived the need
for evaluating cardiovascular risk in patients with DM2 to
establish the most appropriate treatment objectives both
individually and for each population. According to our results,
when applying the UKPDS scale, the estimation of coronary risk at
10 years (especially in males) is closer to the theoretical figure
of 20% at 10 years which is accepted as "equivalent." The figure
estimated with the REGICOR scale is substantially lower. These
results are not surprising if we take into account that the
specific scale used derives from the results obtained in the UKPDS
study. More than 5000 patients with DM2 and without previous CVD
were included in this study and were followed up for more than a
decade. For the first time the duration of DM2 and the
HbA1c values were taken into account, both parameters
being closely related to cardiovascular risk.16 If we
consider disease duration in the sample studied, we see that it is
closer to studies that incorporate DM2 and equivalent coronary risk
which would explain the substantial theoretical risk our patients
present. This risk estimation is even more relevant if we take into
account the substantial proportion of subjects who are found within
the values considered "optimal" for glycemic control, lipid profile
and blood pressure. Obviously, our cross-sectional study of
cardiovascular risk estimation would require prospectively
following-up the population studied to verify the results obtained.
In our case, we should also take into account the fact that the
specific scale for DM2 used comes from an Anglo-Saxon population,
with the consequent problems regarding extrapolation of the
results.
The
basis of any scale for the calculation of coronary risk is to
identify, motivate, initiate, and modulate therapeutic measures in
individuals at high coronary risk. Regardless of any specific risk,
the fact is that patients with DM2 present high morbidity and
mortality due to cardiovascular events, and in recent years the
reduction in mortality that has been observed in the general
population has not been seen in this group.17 These
facts should motivate us to specify more precisely risk in this
group of patients and act accordingly.
In
conclusion, when calculating cardiovascular risk for patients with
DM2 it should be born in mind that the use of scales either for the
general population or those specific for this type of patient can
yield substantially different results.
ABBREVIATIONS
DM2: type 2
diabetes mellitus.
UKPDS: United
Kingdom Prospective Diabetes Study.
REGICOR: Registre
Gironí del Cor.
HbA1c:
glycosylated hemoglobin.
ECG:
electrocardiogram.
CVD: cardiovascular
disease.
LDL-C: cholesterol
bound to low-density lipoproteins.
HDL-C: cholesterol
bound to high-density lipoproteins.
SAP: systolic
arterial pressure.
Correspondence: Dr. I. Conget.
Hospital Clínic i Universitari. Servicio de
Endocrinología y Diabetes.
Villarroel, 170. 08036 Barcelona. España.
E-mail:
iconget@clinic.ub.es
References
1. Bosch X, Alfonso F, Bermejo J. Diabetes y enfermedad cardiovascular. Una mirada hacia la nueva epidemia del siglo xxi. Rev Esp Cardiol 2002;55:525-7.[Medline][Artículo] 2. Goday A. Epidemiología de la diabetes y sus complicaciones no coronarias. Rev Esp Cardiol 2002;55:657-70.[Medline][Artículo] 3. Cho E, Rimm EB, Stampfer MJ, Willet WC, Hu FB. The impact of diabetes mellitus and prior myocardial infarction on mortality form all causes and from coronary heart disease in men. J Am Coll Cardiol 2002;40:954-60.[Medline] 4. Grundy SM, Benjamín IJ, Burke GL, Chait A, Eckel RH, Howard BV. Diabetes and cardiovascular disease: a statement for healthcare professionals from the American Heart Association. Circulation 1999;100:1134-46.[Medline] 5. Haffner SM, Lehto S, Ronnema T, Pyorala K, Laakso M. Mortality from coronary heart disease in subjects with type 2 diabetes and nondiabetic subjects with and without prior myocardial infarction N Engl J Med 1998;339:229-34. 6. Expert Panel on detection, evaluation, and Treatment of High Blood Cholesterol in adults. Executive summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001; 285:2486-97.[Medline] 7. D'Agostino RB, Grundy SM, Sullivan LM, Wilson P. Validation of the Framingham coronary heart disease prediction scores. Results of a multiple ethnic groups investigation. JAMA 2001;286: 180-7.[Medline] 8. Marrugat J, Solanas P, D'Agostino RB, Sullivan L, Ordovas J, Cordón F, et al. Estimación del riesgo coronario en España mediante la ecuación de Framingham calibrada. Rev Esp Cardiol 2003;56:253-61.[Medline][Artículo] 9. Masiá R, Pena A, Marrugat J, Sala J, Vila J, Pavesa M, et al. High prevalence of cardiovascular risk factors in Gerona, Spain, a province with low myocardial infarction incidence. J Epidemiol Community Health 1998;52:707-15.[Medline] 10. Stevens RJ, Kothari V, Adler AI, Stratton IM, Holman RR on behalf of the United Kingdom Prospective Diabetes Study (UKPDS) Group. The UPKDS risk engine: a model for the risk of coronary heart disease in type II diabetes (UKPDS 56). Clin Sci 2001;101:671-9.[Medline] 11. Game FL, Jones AF. Coronary heart disease risk assessment in diabetes mellitus --a comparison of PROCAM and Framingham risk assessment functions. Diabet Med 2001;18: 355-9.[Medline] 12. Yeo WW, Rowland K. Predicting CHD risk in patients with diabetes mellitus. Diab Med 2001;18:341-4. 13. Evans JM, Wang J, Morris AD. Comparison of cardiovascular risk between patients with type 2 diabetes and those who had a myocardial infarction: cross sectional and cohort studies. BMJ 2002;324:939-42.[Medline] 14. Gu K, Cowie CC, Harris MI. Diabetes and decline in heart disease mortality in US adults. JAMA 1999;281:1291-7.[Medline] 15. Winocour PH, Fisher M. Prediction of cardiovascular risk in people with diabetes. Diabet Med 2003;20:515-27.[Medline] 16. Turner RC, Millns H, Neil HA, Stratton IM, Manley SE, Matthews DR, et al. Risk factors for coronary artery disease in non-insulin dependent diabetes mellitus: United Kingdom Prospective Diabetes Study (UKPDS: 23). BMJ 1998;316:823-8.[Medline] 17. Gu K, Cowie CC, Harris MI. Mortality in adults with and without diabetes in a National cohort of the U.S. population, 1971-1993. Diabetes Care 1998;21:1138-45[Medline]
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