BACKGROUND: : Subjects with levels of non-HDL-C 30 mg/dL above those of LDL-C (lipid discordance) or with high remnant cholesterol levels could have a greater residual cardiovascular risk. OBJECTIVES: : To determine the prevalence of lipid discordance in a primary prevention population and analyze the clinical variables associated with it; To investigate the association between lipid discordance and remnant cholesterol with the presence of carotid plaque. METHODS: : Primary prevention patients without diabetes or lipid-lowering therapy were included. Regardless of the LDL-C level, we define "lipid discordance" if the non-HDL-C value exceeded 30 mg/dL that of LDL-C. Remnant cholesterol was calculated as total cholesterol minus HDL-C minus LDL-C when triglycerides were < 4.0 mmol/L. Ultrasound was used to assess carotid plaque occurrence. Multiple regression logistic models were performed. RESULTS: : The study included 772 patients (mean age 52 ± 11 years, 66% women). The prevalence of lipid discordance was 34%. Male sex and body mass index were independently associated with discordant lipid pattern. The prevalence of carotid plaque was higher in subjects with lipid discordance (40.2% vs. 29.2, p = 0.002). The multivariate analysis showed that the discordant lipid pattern was associated with the greater probability of carotid plaque (OR 1.58, 95% CI 1.08-2.34, p = 0.02). Similarly, a significant association between calculated remnant cholesterol and carotid plaque was found. CONCLUSION: : Lipid discordance and presence of a higher level of calculated remnant cholesterol are associated with subclinical atherosclerosis. Our findings could be used to improve the residual cardiovascular risk evaluation. FUNDAMENTO:: Indivíduos com níveis de não HDL-C excedendo em 30 mg/dl aqueles de LDL-C (discordância lipídica) ou com altos níveis de colesterol remanescente poderiam ter maior risco cardiovascular residual. OBJETIVOS:: determinar a prevalência de discordância lipídica em uma população de prevenção primária e analisar as variáveis clínicas com ela associadas; investigar a associação de discordância lipídica e colesterol remanescente calculado com a presença de placa carotídea. MÉTODOS:: Pacientes de prevenção primária sem diabetes ou sem terapia hipolipemiante foram incluídos. Independentemente do nível de LDL-C, definiu-se "discordância lipídica" como um valor de não HDL-C excedendo em 30 mg/dl aquele de LDL-C. Calculou-se o colesterol remanescente como colesterol total menos HDL-C menos LDL-C na presença de triglicerídeos < 4,0 mmol/l. Usou-se ultrassom para avaliar a presença de placa carotídea. Modelos de regressão logística múltipla foram construídos. RESULTADOS:: Este estudo incluiu 772 pacientes (idade média, 52 ± 11 anos; 66% mulheres). A prevalência de discordância lipídica foi de 34%. Sexo masculino e índice de massa corporal mostraram associação independente com padrão lipídico discordante. A prevalência de placa carotídea foi maior em indivíduos com discordância lipídica (40,2% vs. 29,2; p = 0,002). A análise multivariada mostrou associação do padrão lipídico discordante com maior probabilidade de placa carotídea (OR: 1,58; IC95%: 1,08-2,34; p = 0,02). Da mesma forma, identificou-se uma significativa associação entre colesterol remanescente calculado e placa carotídea. CONCLUSÃO:: Discordância lipídica e presença de nível mais alto de colesterol remanescente calculado acham-se associados com aterosclerose subclínica. Nossos achados podem ser usados para aprimorar a avaliação de risco cardiovascular residual.
BACKGROUND: : Subjects with levels of non-HDL-C 30 mg/dL above those of LDL-C (lipid discordance) or with high remnant cholesterol levels could have a greater residual cardiovascular risk. OBJECTIVES: : To determine the prevalence of lipid discordance in a primary prevention population and analyze the clinical variables associated with it; To investigate the association between lipid discordance and remnant cholesterol with the presence of carotid plaque. METHODS: : Primary prevention patients without diabetes or lipid-lowering therapy were included. Regardless of the LDL-C level, we define "lipid discordance" if the non-HDL-C value exceeded 30 mg/dL that of LDL-C. Remnant cholesterol was calculated as total cholesterol minus HDL-C minus LDL-C when triglycerides were < 4.0 mmol/L. Ultrasound was used to assess carotid plaque occurrence. Multiple regression logistic models were performed. RESULTS: : The study included 772 patients (mean age 52 ± 11 years, 66% women). The prevalence of lipid discordance was 34%. Male sex and body mass index were independently associated with discordant lipid pattern. The prevalence of carotid plaque was higher in subjects with lipid discordance (40.2% vs. 29.2, p = 0.002). The multivariate analysis showed that the discordant lipid pattern was associated with the greater probability of carotid plaque (OR 1.58, 95% CI 1.08-2.34, p = 0.02). Similarly, a significant association between calculated remnant cholesterol and carotid plaque was found. CONCLUSION: : Lipid discordance and presence of a higher level of calculated remnant cholesterol are associated with subclinical atherosclerosis. Our findings could be used to improve the residual cardiovascular risk evaluation. FUNDAMENTO:: Indivíduos com níveis de não HDL-C excedendo em 30 mg/dl aqueles de LDL-C (discordância lipídica) ou com altos níveis de colesterol remanescente poderiam ter maior risco cardiovascular residual. OBJETIVOS:: determinar a prevalência de discordância lipídica em uma população de prevenção primária e analisar as variáveis clínicas com ela associadas; investigar a associação de discordância lipídica e colesterol remanescente calculado com a presença de placa carotídea. MÉTODOS:: Pacientes de prevenção primária sem diabetes ou sem terapia hipolipemiante foram incluídos. Independentemente do nível de LDL-C, definiu-se "discordância lipídica" como um valor de não HDL-C excedendo em 30 mg/dl aquele de LDL-C. Calculou-se o colesterol remanescente como colesterol total menos HDL-C menos LDL-C na presença de triglicerídeos < 4,0 mmol/l. Usou-se ultrassom para avaliar a presença de placa carotídea. Modelos de regressão logística múltipla foram construídos. RESULTADOS:: Este estudo incluiu 772 pacientes (idade média, 52 ± 11 anos; 66% mulheres). A prevalência de discordância lipídica foi de 34%. Sexo masculino e índice de massa corporal mostraram associação independente com padrão lipídico discordante. A prevalência de placa carotídea foi maior em indivíduos com discordância lipídica (40,2% vs. 29,2; p = 0,002). A análise multivariada mostrou associação do padrão lipídico discordante com maior probabilidade de placa carotídea (OR: 1,58; IC95%: 1,08-2,34; p = 0,02). Da mesma forma, identificou-se uma significativa associação entre colesterol remanescente calculado e placa carotídea. CONCLUSÃO:: Discordância lipídica e presença de nível mais alto de colesterol remanescente calculado acham-se associados com aterosclerose subclínica. Nossos achados podem ser usados para aprimorar a avaliação de risco cardiovascular residual.
Elevations in triglyceride-rich lipoproteins are associated with an increased risk of
atherosclerotic cardiovascular events even in patients with well-controlled levels
of low-density lipoprotein cholesterol (LDL-C) achieved by statin
regimens.[1,2]Although LDL-C has typically been the primary target of therapy, several guidelines
recognize non-HDL-C as a secondary therapeutic target.[3-6] The US
National Lipid Association (NLA) in its recent published recommendation recognizes
both non-HDL-C and LDL-C as primary therapeutic targets.[7] In this scene, the non-HDL-C targets were 30 mg/dL
higher than the recommended LDL-C goals.The non-HDL-C comprises cholesterol carried by all potentially atherogenic particles
that include LDL-C, intermediate density lipoproteins, very low-density
lipoproteins, remnant lipoproteins and lipoprotein(a). Additionally, in several
meta-analyses, it was found that non-HDL-C correlated more closely with
cardiovascular risk than LDL-C both at baseline and during therapy.[8,9]In the same way, the “atherogenic dyslipidemia” is associated with increased
cardiovascular risk. Its main findings include hypertriglyceridemia, low HDL-C
levels, qualitative changes in LDL particles, accumulation of remnant lipoproteins,
and postprandial hyperlipidemia.[10]
Remnant cholesterol is the cholesterol content of triglyceride-rich remnant
lipoproteins, which in the fasting state comprise very low-density lipoproteins and
intermediate-density lipoproteins, and, in the non-fasting state, those two
lipoproteins together with chylomicron remnants. Likewise, remnant lipoproteins
carry large amounts of cholesterol and share with LDL the potential to enter and get
trapped in the intima of the arterial wall.[11]On the other hand, the diagnosis of carotid atherosclerotic plaque is a surrogate
objective and constitutes an independent predictor of coronary events.[12] Our working group has previously
reported a considerable prevalence of carotid plaque in patients in primary
prevention.[13,14]Given the above, we raised the possibility that subjects with non-HDL-C levels 30
mg/dL above the LDL value (lipid discordance) or with higher calculated remnant
cholesterol value may show a higher prevalence of carotid atherosclerosis.Hence, the objectives of our study were:To determine the prevalence of lipid discordance in a primary prevention
population and to analyze the clinical variables associated with it;To investigate the association of lipid discordance and calculated
remnant cholesterol with the presence of carotid plaque.
Methods
A multicenter, descriptive, cross-sectional study was performed on consecutive
samples obtained in the cardiovascular prevention outpatient clinics of six
cardiology centers in the Autonomous City of Buenos Aires. Primary prevention
subjects were included. Exclusion criteria were:previous cardiovascular disease;history of diabetes mellitus; andprior hypolipidemic therapy.Colorimetric and turbidimetric assays were used to measure non-fasting plasma levels
of triglycerides, HDL-C and total cholesterol. The Friedewald equation was used to
calculate LDL-C. Remnant cholesterol was calculated as total cholesterol minus HDL-C
minus LDL-C when triglycerides were < 4.0 mmol/L.Regardless of the LDL-C level, “lipid discordance” was defined as a non-HDL-C level
exceeding 30 mg/dL that of LDL-C.Carotid atherosclerotic plaque was recorded when atherosclerotic plaque was found in
the carotid arteries on noninvasive, 2D-mode ultrasound images. Presence of plaque
was defined as:abnormal wall thickness (defined as intima-media thickness >1.5
mm);abnormal structure (protrusion towards the lumen, loss of alignment with
the adjacent wall); andabnormal wall echogenicity.Three cardiovascular risk scores were calculated:The Framingham Score for coronary events using the third National
Cholesterol Education Program (NCEP) expert panel report on elevated
blood cholesterol detection, assessment and treatment in adults (Adult
Treatment Panel III - ATP III),[15] defining low, moderate and high risk as values
< 10%, between 10% and 19%, and ≥ 20%, respectively;The new score used by the last 2013 ACC/AHA Guidelines for cholesterol
management;[16]The European SCORE for fatal events, using the specific score
corresponding to low risk countries.[17] The choice of this score was arbitrary, based
on the fact that most Argentine immigrant population comes from those
countries. Risks < 1%, between 1% and 4.9%, 5% and 9.9% or ≥
10% were classified as low, moderate, high or very high,
respectively.
Statistical analysis
Variable normality was explored analyzing the mean, standard deviation, median,
skewness, kurtosis and histogram, and using the Shapiro-Wilk test. Continuous
data were compared between groups using the unpaired t test for
normal distribution or the Mann-Whitney-Wilcoxon test for non-normal
distribution. The analysis of categorical data was performed using the
chi-square test. The correlation between LDL-C and non-HDL-C was performed with
the Pearson test.A multiple regression logistic model was performed to identify independent
characteristics associated with discordant lipid pattern, including all
variables with p < 0.05 in the univariate analysis or those considered
clinically relevant (age and smoking). Similarly, another multiple regression
logistic model was performed to explore the association between the discordant
lipid pattern and the presence of carotid plaque, including all variables with p
<0.05 in the univariate analysis or those considered clinically relevant
(sex). Finally, a third multivariate model was performed to analyze the
association between highest and lowest quartiles of calculated remnant
cholesterol and the presence of carotid plaque, adjusting for age, sex, body
mass index, smoking and antihypertensive medication.Continuous variables were expressed as mean (standard deviation) if the
distribution was normal and as median (interquartile range) if the distribution
was abnormal. Categorical variables were expressed as percentages. A two-tailed
p value < 0.01 was considered as statistically significant. STATA 11.1 and
3.1 EPIDAT software packages were used for statistical analysis.Sample size calculation: Looking to have a power of 80% and an alpha error of
0.05 to detect an absolute difference equal to or greater than 7% in the
prevalence of carotid plaque among subjects with or without lipid discordance,
we estimate that it would be necessary a sample of 513 subjects. Assuming a loss
of 15%, the number was 604 patients.
Ethics considerations
The study was conducted following the recommendations in medical research
suggested by the Declaration of Helsinki, Guidelines for Good Clinical Practice
and valid ethical regulations. The ethical issues have been evaluated and
approved by the Area of Investigation of the Argentine Society of
Cardiology.
Results
A total of 772 patients (mean age 52 ± 11 years, 66% women) were included in
the study. Average body mass index was 26.9 ± 4.5 and mean cholesterol, LDL-C
and HDL-C values were 219 ± 45 mg/dL, 142 ± 43 mg/dL and 50 ±
14 mg/dL, respectively. The median triglyceride level was 117 mg/dL (80-173).
Thirty-six percent of patients were receiving antihypertensive treatment, and 20.5%
were active smokers.Thirty-four percent of the population showed lipid discordance (non-HDL-C >
LDL-C+30 mg/dL). Relationship between LDL-C and non-HDL-C in the population is shown
in Figure 1.
Figure 1
Relationship between LDL-C and non-HDL-C in the population. The black
line represents the value of non-HDL-C (30 mg/dL above) associated with
each value of LDL-C.
Relationship between LDL-C and non-HDL-C in the population. The black
line represents the value of non-HDL-C (30 mg/dL above) associated with
each value of LDL-C.Patients with lipid discordance showed a higher proportion of men and subjects on
anti-hypertensive medication, and higher body mass index compared with subjects with
lipid concordance. Moreover, a smaller proportion of low-risk individuals according
to different cardiovascular scores was observed in the group with lipid discordance.
The characteristics of the population according to the lipid pattern are shown in
Table 1. Also, lipid values according to
the lipid pattern are displayed in Table
2.
Table 1
Association between different non-lipid risk factors and lipid pattern
Concordant n = 510
Discordant n = 262
p
Continuous variables, mean (SD)
Age, years
52.8 (10.8)
51.6 (11.3)
0.15
Systolic blood pressure, mm Hg
127.5 (15.3)
129.1 (14.5)
0.16
Body mass index, kg/m2
26.0 (4.2)
28.6 (4.6)
< 0.001
Categorical variables, %
Male sex
39.0
54.6
<0.001
Anti-hypertensive medication
33.1
42.8
0.01
Smoking
20.2
21.0
0.79
Family history of early cardiovascular disease
26.5
26.4
0.98
Framingham score (ATP III)
Low risk
80.6
69.4
0.001
Intermediate risk
13.9
24.5
High risk
5.5
6.1
New Score (ACC/AHA 2013)
< 5%
55.1
40.8
0.001
5-7.5%
10.8
16.8
> 7.5%
34.1
42.4
European SCORE
Low risk
53.3
46.2
0.04
Intermediate risk
36.9
47.0
High/Very high risk
9.8
6.8
SD: standard deviation.
Table 2
Lipid values according to the lipid pattern
Variable (mg/dL)
Concordant n = 510
Discordant n = 262
p
Total Cholesterol, mean (SD)
213.3 (44.3)
232.2 (44.9)
< 0.001
LDL-C, mean (SD)
141.5 (41.8)
142.8 (44.1)
0.58
Non-HDL-C, mean (SD)
160.0 (42.9)
188.4 (43.1)
< 0.001
HDL-C, mean (SD)
53.3 (14.7)
43.8 (11.3)
< 0.001
Triglycerides, median (interquartile range)
89.0 (72.0-116.0)
199.0 (172.0-252.0)
< 0.001
Calculated remnant cholesterol, mean (SD)
18.5 (5.8)
45.1 (16.3)
< 0.001
SD: standard deviation.
Association between different non-lipid risk factors and lipid patternSD: standard deviation.Lipid values according to the lipid patternSD: standard deviation.In the multivariate analysis, male sex (OR: 1.50; 95% CI: 1.07-2.11, p = 0.02) and
body mass index (OR: 1.12; 95% CI: 1.08-1.17, p < 0.001) were independently
associated with greater probability of being a discordant lipid pattern.Table 3 displays the characteristics of the
population (non-lipid risk factors) according to the presence or absence of carotid
plaque. The prevalence of carotid plaque was significantly higher in subjects with
lipid discordance (40.2% vs. 29.2, p = 0.002). In univariate analysis, a significant
association between discordant lipid pattern and the presence of carotid plaque was
observed (OR: 1.61; 95% CI: 1.17-2.19, p = 0.003). In the same way, the multivariate
analysis showed that the discordant lipid pattern was independently associated with
greater probability of exhibiting carotid plaque (OR: 1.58; 95% CI: 1.08-2.34,
p=0.02). This finding occurred after adjusting for age, sex, body mass index,
systolic blood pressure, antihypertensive treatment, active smoking and family
history of early coronary disease.
Table 3
Association between non-lipid risk factors and carotid plaque
Without plaque n = 517
With plaque n = 254
p
Continuous variables, mean (SD)
Age, years
49.8 (11.3)
57.7 (11.3)
< 0.001
Systolic blood pressure, mm Hg
125.2 (13.8)
133.8 (15.9)
< 0.001
Body mass index, kg/m2
26.3 (4.5)
27.9 (4.4)
< 0.001
Categorical variables, %
Male sex
42.0
48.9
0.07
Anti-hypertensive medication
28.4
52.8
<0.001
Smoking
15.1
31.1
<0.001
Family history of early cardiovascular disease
23.8
32.0
0.016
SD: standard deviation.
Association between non-lipid risk factors and carotid plaqueSD: standard deviation.Similarly, a significant association between calculated remnant cholesterol and the
presence of carotid plaque was found in the univariate analysis (upper vs. lower
quartile: OR: 1.82; 95% CI: 1.19-2.79, p = 0.006). This association remained after
adjusting for other risk factors (upper vs. lower quartile: OR: 1.84; 95% CI:
1.11-3.05, p = 0.02). Figure 2 shows the
association between quartiles of calculated remnant cholesterol and the presence of
carotid plaque.
Figure 2
Association between quartiles of calculated remnant cholesterol and the
presence of carotid plaque. Q: Quartile.
Association between quartiles of calculated remnant cholesterol and the
presence of carotid plaque. Q: Quartile.
Discussion
Discordance analysis is an analytical technique in which biologically linked
variables are analyzed by groups of concordance or discordance between their
relative distributions.[18] In our
work, we have defined "lipid discordance" arbitrarily but in an original way. For
each patient, we categorize the lipid pattern as discordant if the non-HDL-C level
exceeded 30 mg/dL that of LDL-C. Thus, the clinical value of this analysis is more
closely related to the number of atherogenic particles than to the total mass of
cholesterol.In our study, male patients or subjects with a higher body mass index were more
likely to show lipid discordance. Coinciding with our findings, in a study that
analyzed a population of Barcelona, the prevalence of atherogenic dyslipidemia was
higher in men compared to women (using the HDL-C cutoff recommended by the European
guidelines).[19] Also, a
study conducted in primary health care users of Portugal showed a higher prevalence
of hypertriglyceridemia and low HDL-C levels in males.[20] In another study, Williams et al.[21] demonstrated that non-diabetic men
showed higher levels of apolipoprotein B, non-HDL-C and small LDL particles than
women without diabetes. On the other hand, the association between overweight or
obesity and high non-HDL-C levels was widely demonstrated.[22,23]Our analysis showed an association between discordant lipid pattern and higher
prevalence of carotid plaque. Similarly, Holewijn et al.[23] showed that subjects with high non-HDL-C levels
had a lower ankle-brachial index, increased mean intima-media thickness and more
atherosclerotic plaques than patients with low non-HDL-C levels. Moreover, high
non-HDL-C/low LDL-C discordance was associated with higher coronary artery calcium
score measured by computed tomography.[24] Consequently, several factors arise to explain the association
between discordant lipid pattern and higher prevalence of subclinical
atherosclerosis. First, some triglyceride-rich lipoprotein remnants enter the
arterial wall similarly to LDL-C, contributing to the initiation and progression of
atherosclerosis. Second, non-HDL-C correlates more closely with the total burden of
all atherogenic particles. Finally, elevated levels of triglycerides and very
low-density lipoprotein-C could reflect the hepatic overproduction of atherogenic
and dense particles characterized by a slower clearance from the circulation.Another finding of our study was the association between calculated remnant
cholesterol and the presence of carotid plaque. This association remained even after
adjusting for non-lipid risk factors.Elevated remnant cholesterol is associated with ischemic heart disease.[25] Similarly, increased
concentrations of both calculated and measured remnant cholesterol were associated
with increased all-cause mortality in patients with ischemic heart
disease.[26] The main
explanation for a causal effect of elevated remnant cholesterol on ischemic heart
disease risk could be that remnants enter and get trapped in the intima of the
arterial wall.[27] Even more,
remnants may not need to be oxidized to be taken up by macrophages to cause foam
cell formation and atherosclerosis.[28] Therefore, the findings of our research are consistent with
pathophysiological and clinical data previously reported.Our findings, regarding that patients with discordant lipid patterns and higher
remnant cholesterol levels are associated with atherosclerotic plaque, highlight the
role of non-HDL-C in clinical practice. In the real world, patients with very high
cardiovascular risk have a significant prevalence of atherogenic dyslipidemia
despite having achieved LDL-C goals.[29]However, the recommendations of the guidelines are confusing and not always
consistent.[30] The 2013
ACC/AHA guidelines for cholesterol management do not consider HDL-C and
triglycerides in cardiovascular prevention. However, the NLA emphasizes the
relevance of atherogenic dyslipidemia and the Canadian guidelines introduced
non-HDL-C and apolipoprotein B as alternative targets. The International
Atherosclerosis Society and National Institute for Health and Care Excellence (NICE)
guidelines promote the importance of non-HDL-C. The European guidelines highlight
HDL-C and triglycerides, but with the limitation that the main evidence comes from
sub-analysis of clinical studies.Our study has some limitations. First, as in any cross-sectional study, the
possibility of bias (mainly selection bias) potentially influencing the results
cannot be ruled out. We believe a selection bias may exist in our sampling, as
patients attending the cardiovascular prevention clinic do not necessarily represent
the general population. Second, we did not measure remnant lipoprotein cholesterol
directly. However, the measurement of calculated remnants has been used in several
previous studies. Finally, in our study, carotid plaque was defined according to the
Atherosclerosis Risk in Communities study criteria. Changing the definition of
plaque could modify our results.
Conclusion
In our analysis, the lipid discordance and the presence of a higher level of
calculated remnant cholesterol are associated with subclinical atherosclerosis. Our
findings expand the strategies in primary prevention to evaluate the residual
cardiovascular risk.
Authors: John D Brunzell; Michael Davidson; Curt D Furberg; Ronald B Goldberg; Barbara V Howard; James H Stein; Joseph L Witztum Journal: Diabetes Care Date: 2008-04 Impact factor: 19.112
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