Family history of cardiovascular disease and non-HDL cholesterol in prepubescent non-obese children

Importância clínica da história familiar de doença cardiovascular e da dosagem do colesterol não HDL em crianças eutróficas

Summary

Objective:

To describe the values of non-HDL cholesterol (NHDL-c) and the frequency of a family history of early cardiovascular disease (family HCVD) in healthy prepubescent children. Analyze the association between NHDL-c and family HCVD, and possible associations with other risk factors for cardiovascular disease (CVD).

Method:

Cross-sectional study including 269 prepubescent (aged 6-10 years) schoolchildren with a normal body mass index (+1SD<BMI>-2SD). Data collected: Family HCVD; weight and height, waist circumference and systemic blood pressure; lipid profile (total cholesterol TC, HDL-c, triglycerides and LDL-c), NHDL-c calculation (CT-HDL-c, cut-off = 145 mg/dL) and insulin resistance (HOMA-IR).

Results:

High levels were found for NHDL-c in 10 (3.7%) of these schoolchildren, and family early HCVD was found in 46 (17.1%) of them. There was a weak association between family HCVD and NHDL-c (Cramer’s-V-test = 0.120; p=0.050). Among the children with NHDL-c≥145 mg/dL, 4 (40%) have family HCVD. The presence of family HCVD was not associated with the variables being studied. The variables independently associated with NHDL-c ≥ 145 mg/dL were: HOMA-IR (OR=1.7; 95CI 1.1-2.6) and diastolic blood pressure (OR=1.1; 95CI 1.02-1.2).

Conclusion:

NHDL-c values were associated with blood pressure and insulin resistance. Family HCVD was not associated with other classic risk factors for CVD, even though the frequency found was five times higher than that of high NHDL-c.

Keywords
dyslipidemias; cardiovascular diseases; child; primary prevention

Resumo

Objetivos:

descrever os valores do colesterol não HDL (NHDL-c) e a frequência de história cardiovascular familiar precoce (HDCV familiar) em crianças eutróficas e pré-púberes. Analisar a associação entre o NHDL-c e o HDCV familiar e possíveis associações com outros fatores de risco para doenças cardiovasculares (DCV).

Método:

estudo transversal com 269 escolares (6-10 anos) pré-púberes e com índice de massa corporal normal (+1DP<IMC>-2DP). Dados coletados: HDCV familiar; peso e estatura, circunferência abdominal e pressão arterial sistêmica; perfil lipídico (colesterol total – CT, HDL-c, triglicérides e LDL-c), cálculo do NHDL-c (CT-HDL-c, ponto de corte 145 mg/dL) e resistência à insulina (HOMA-IR).

Resultados:

observaram-se valores elevados de NHDL-c em 10 (3,7%) e presença de HDCV familiar precoce em 46 (17,1%) crianças. Houve fraca associação entre HDCV familiar e NHDL-c (Cramer’s-V-test = 0,120; p=0,050). Entre as crianças com NHDL-c ≥145 mg/dL, quatro (40%) tinham HDCV familiar. A presença de HDCV familiar não se associou com as variáveis estudadas. As variáveis que se associaram de forma independente com o NHDL-c ≥145 mg/dL foram HOMA-IR (OR=1,7; IC95% 1,1-2,6) e pressão arterial diastólica (OR=1,1; IC95% 1,02-1,2).

Conclusão:

os valores de NHDL-c se associaram com pressão arterial e resistência insulínica. HDCV familiar não se associou com outros fatores de risco clássicos para DCV, embora a frequência encontrada tenha sido quase cinco vezes superior à de NHDL-c elevado.

Palavras-chave
dislipidemias; doenças cardiovasculares; criança; prevenção primária

INTRODUCTION

Cardiovascular diseases (CVD) are the leading cause of mortality in adults worldwide.¹ In Brazil, they also stand out as the leading cause of death, with rates of 28.8% and 36.9% for men and women, respectively.²

Atherosclerosis begins in childhood and progresses during adolescence and adulthood, and early identification is a crucial step toward reducing the morbidity and mortality related to it. The study by Bogalusa confirmed this finding when evaluating the autopsies of 204 healthy children and young adults between 2 and 39 years of age, who died due to trauma, and described the presence of fatty plaques in the aorta and coronary arteries in 50% of individuals aged between 2 and 15 years.³ The authors also noted that the greater the number of classic risk factors (obesity, dyslipidemia, diabetes mellitus, hypertension, and smoking) for CVD present, the greater the frequency and extent of the lesions.^3,4

According to the American Academy of Pediatrics,⁵ the investigation of CVD risk factors in children and adolescents is recommended regardless of the nutritional condition, and its central point is the presence of a family history of early CVD (HCVD).⁵ According to this recommendation, children from 2 to 8 years of age with HCVD and all children aged from 9 to 11 years should have their lipid profile evaluated. The proposal for this evaluation is to use the dosage of non-HDL cholesterol (NHDL-c) as initial screening, establishing the complete lipid profile if NHDL-c values are equal to or greater than 145 mg/dL.⁵

The search for risk factors for CVD in the clinical history of children is one of the goals that should be incorporated into pediatric care. However, the need for complement the investigation through subsidiary exams in healthy children is still not consolidated in literature.

The aim of this study was to describe the values of NHDL-c and frequency of HCVD in healthy and prepubescent children, in addition to checking possible associations between NHDL-c and HCVD with other CVD risk factors.

METHOD

By means of an anthropometric census conducted by the Division of General and Community Pediatrics, Pediatrics Department of the Federal University of São Paulo, in São Paulo, Brazil, 920 schools children were invited to participate in this cross-sectional study. We evaluated 766/920 (83.3%) children aged 6 to 10 years, whose parents had signed an informed consent form. Among these children, 540/766 (70.5%) presented a normal body mass index (BMI). Next, the children who already showed secondary sex characteristics and those who had not collected blood samples were excluded, totaling 269/540 (49.8%) prepubescent schoolchildren (117 girls and 152 boys), between 6 and 10 years old with a normal BMI (1SD < BMI > -2 SD; World Health Organization, 2007).⁶

This study was approved by the Ethics Committee of the Institution (São Paulo, Brazil no. 1568/09) and, in order to participate, the parents/guardians of the children signed an informed consent form.

A pre-coded questionnaire was applied to the parents/guardians of the children to obtain information on birth weight and prematurity, to search for pre-existing diseases and investigate family history for CVD (HCVD).⁵ A family history was considered to be present when the parents reported high blood pressure, diabetes, obesity or hypercholesterolemia. As the parents of these schoolchildren were perhaps too young to show evident coronary disease, we also considered a positive history the occurrence of myocardial infarction or sudden death in the grandparents before 55 years of age. Staging of puberty was performed by a pediatrician as per the recommendations of Tanner & Marshall.⁷

Weight data was obtained on platform-type mechanical scales (SD-150, Country Technologies, Wisc, USA), graduated every 0.1 kg, with the child using the least possible amount of clothing, without shoes, while height measurement was done on a vertical stadiometer graduated in millimeters (1 mm).⁸ This data was used for classification of nutritional status using the indicators and cut-off points proposed by the World Health Organization, 2007. They were considered healthy if 1SD < BMI > -2 SD.⁶

Waist circumference (WC) was measured with an inextensible tape measure at the midpoint between the upper iliac crest and the last fixed rib. Values higher than the 90 percentile according to sex and age were considered unsuitable.⁹ WC was also used to calculate the waist/height ratio (cut-off point < 0.5).¹⁰

Blood pressure (SBP – systolic and DBP – diastolic) was measured using a sphygmomanometer by a single evaluator, and recorded from the average of three measurements, with five minutes intervals, in a single session. High blood pressure included values above the 90 percentile for gender, age and height.¹¹

Blood collection: After 12 hours of fasting, 5 mL of blood were collected via peripheral venipuncture for determination of the lipid profile, blood glucose and insulin. The samples were centrifuged after one hour (1500 rpm for five minutes), aliquoted and used for determination of plasma concentrations of total cholesterol (TC), HDL-c, triglycerides (TG) (colorimetric method) and LDL-c (Friedewald equation). The cut-off points used were those proposed by the American Academy of Pediatrics, 2008.¹² Based on the lipid profile we calculated the non-HDL cholesterol (TC – HDL-c; cut-off point <145 mg/dL).¹³ Blood concentrations of glucose (colorimetric method) and insulin (chemiluminescence) were used for the evaluation of insulin resistance under the homeostatic model assessment calculation (HOMA-IR; glucose (mg/dL)/18 x insulin (mIU/mL)]/22.5). The cut-off point for blood glucose was <100 mg/dL and HOMA-IR <2.0.¹⁴

The data collected was typed and consolidated in an Excel^® spreadsheet. SPSS 20.0 (IBM) statistics software was used for analysis. The continuous variables were tested as to their normality through using Shapiro-Wilk test, and Student’s t-test for parametric variables and the Mann-Whitney U test for nonparametric variables. Categorical variables were compared using chi-squared test or Fisher’s exact test. Cramer’s V test was used to evaluate the association between HCVD and NHDL-c. For the multivariate analysis we used the Forward LR logistic regression method and included those with p<0.1 in the bivariate analysis. A significance level of 5% was adopted.

RESULTS

Among the children evaluated, 58.7% were boys and the median age was 8.3 years (6.0;10.9). The frequency of changes in the variables studied can be observed in Table 1. A high percentage of unsuitability was found in relation to the lipid profile, especially for triglycerides: 92 (34.2%) and HDL-c: 91 (33.8%). No children included in the study had an increased waist circumference or waist/height ratio above 0.5.

TABLE 1
Frequency of clinical and laboratorial changes as variables studied in healthy and prepubescent schoolchildren.

Variable				Total (n=269)
Birth weight		<2500g		35 (13%)
Family HCVD		Present		46 (17.1%)
Systolic BP		≥p90		3 (1.1%)
Diastolic BP		≥p90		12 (4.5%)
HOMA-IR		>2.0		50 (23.9%)
Blood glucose		≥100 mg/dL		4 (1.4%)
				Borderline		High
Triglycerides		75-99 and ≥100		65 (24.2%)		36 (13.3%)
TC		170-199 and ≥200		60 (22.3%)		5 (1.8%)
HDL-c		<40 and ≥45		71 (26.4%)		24 (8.9%)
LDL-c		100-129 and ≥130		35 (13.0%)		7 (2.6%)
NHDL-c		120-145 and ≥145		52 (19.3%)		10 (3.7%)

• HCVD: history for cardiovascular disease; BP: blood pressure; HOMA-IR: homeostatic model assessment - insulin resistance; TC: total cholesterol; HDL-c: high-density lipoprotein cholesterol; LDL-c: low-density lipoprotein cholesterol; NHDL-c: non-HDL cholesterol.

The median of the values for NHDL-c was 102.0 mg/dL (47.0;187.0), with no statistically significant difference between genders (data not shown).

In the population studied, high NHDL-c was found in 10 (3.7%) children, and HCDV was found in 46 (17.1%). A weak association was found between family HCVD and NHDL-c (Cramer’s V test=0.120; p=0.050). Among children with NHDL-c ≥145 mg/dL, 4 (40%) had a family history of CDV.

The presence of HCDV was not associated in a statistically significant manner with the variables studied (Table 2). Although there was no difference, the group of children with HCVD had higher median values of NHDL-c compared to the schoolchildren without HCVD (Table 2).

TABLE 2
Comparison of the variables studied in children for the presence of family history of cardiovascular disease.

Variable				HCVD (+) (n=46)		HCVD (-) (n=223)		p-value
Age		years		8.6 (6.1;10.9)		8.3 (6.0;10.9)		0.225*
Birth weight		grams		3020 (1250;4400)		3180 (875;4830)		0.243*
BMI		z-score		0.06 (-1.7;0.9)		-0.23 (-1.9;0.9)		0.248*
Waist/height		cm		0.42 (0.4;0.5)		0.42 (0.2;0.5)		0.569*
Systolic BP		mmHg		90.0 (80.0;110.0)		90.0 (70.0;120.0)		0.213*
Diastolic BP		mmHg		60.0 (40.0;80.0)		60.0 (40.0;80.0)		0.173*
HOMA-IR				1.2 (0.3;6.7)		1.0 (0.1;7.0)		0.356*
Blood glucose		mg/dL		81.0 (69.0;103.0)		80.0 (46.0;107.0)		0.064*
Insulin		uU/mL		6.3 (1.4;31.0)		5.6 (1.0;31.8)		0.446*
NHDL-c		mg/dL		109.5 (61.0;187.0)		101.0 (47.0;161.0)		0.060*
Gender		male		24		128		0.519†

• ^*
  Level of significance in Mann-Whitney test.
• ^†
  Level of significance in Chi-squared test.
• BMI: body mass index; BP: blood pressure; HOMA-IR: homeostatic model assessment - insulin resistance; NHDL-c: non-HDL cholesterol.

The variables that were independently associated with NHDL-c were HOMA-IR and PAD (Table 3). The increase of one unit in HOMA-IR and PAD was associated with OR=1.7 (95% CI 1.1-2.6) and OR=1.1 (1.02-1.02) for unsuitability of NHDL-c, respectively.

TABLE 3
Comparison of the variables studied in children regarding concentrations of non-HDL cholesterol (NHDL-c).

Variable				NHDL-c ≥145 mg/dL		NHDL-c <145 mg/dL		p-value
				(n=10)		(n=259)
Age		years		9.3 (6.0;10.0)		8.3 (5.0;10.0)		0.185*
Birth weight		grams		2820 (2080;3878)		3180 (875;4830)		0.300*
BMI		z-score		0.20 (-1.5;0.8)		-0.15 (-1.9;0.9)		0.647*
Waist/height		cm		0.43 (0.4;0.5)		0.42 (0.2;0.5)		0.213*
Systolic BP		mmHg		92.5 (80.0;100.0)		90.0 (70.0;120.0)		0.063*
Diastolic BP		mmHg		65.0 (50.0;80.0)		60.0 (40.0;80.0)		0.008*
HOMA-IR				2.2 (1.3;7.0)		1.05 (0.1;6.6)		<0.001*
Blood glucose		mg/dL		85.5 (70.0;95.0)		80.0 (46.0;107.0)		0.103*
Insulin		IU/mL		9.9 (6.6;31.8)		5.5 (1.0;31.0)		<0.001*
Gender		male		6 (60%)		146 (56.3%)		0.544†
Cardiovascular risk		present		4 (40%)		42 (16.2%)		0.073†

• ^*
  Level of significance in Mann-Whitney test.
• ^†
  Level of significance in Chi-squared test.
• BMI: body mass index; BP: blood pressure; HOMA-IR: homeostatic model assessment - insulin resistance.

DISCUSSION

In this study of healthy and prepubescent schoolchildren, risk factors for CVD were found, both clinically and connected to the metabolic and lipid profile of this population. Among the predictors analyzed (family HCVD and NHDL-c), NHDL-c values above 145 mg/dL were associated with a greater number of factors related to the development of CVD (DBP and HOMA-IR) than family history alone. Furthermore, a weak association was noted between HCVD and increased NHDL-c.

The investigation of HCVD in the pediatric age range has been debated intensively in recent years in view of the increase in morbidity and mortality caused by CVD in the general population.⁵ Obesity and associated morbidities are well-known and widely investigated risk factors.^3,4 Nevertheless, there are few studies addressing HCVD in healthy children. Currently, there is no consensus about who, when and how to investigate HCVD in this group.

In a recent publication on guidelines for the reduction of cardiovascular risk in children, the authors suggest that family HCVD is the central item to defining the need to widen the investigation of CVD risk in healthy children or not.⁵ In practice, despite being simple to collect, the interpretation of this data in the scope of clinical history has certain obstacles. The report about the family is sometimes unnecessary. The most robust evidence relates to first-degree relatives (parents) who are often too young to have more serious cardiovascular outcomes.^3,5 Much of the young adult population has not yet adopted routine lipid profiling, which is one of the factors evaluated in family HDCV. In the general population, there is a high prevalence of dyslipidemia, hypertension and diabetes related to obesity and lifestyle, which makes the differentiation of environmental and genetic factors difficult.¹⁵

In our study, we found that family HCVD was not associated with other classical risk factors for CVD, although the frequency found was almost five times higher for high NHDL-c and the median values of NHDL-c tend to be higher in the group with family HCVD. These findings are consistent with those observed in a large population study (Coronary Artery Risk Detection in Appalachian Communities – CARDIAC project) where the authors found that family history failed to identify dyslipidemia (LDL-c>130 mg/dL) in healthy subjects.¹⁶

According to the American Academy of Pediatrics,⁵ universal screening for dyslipidemia is recommended in children aged 9 to 11 years based on determination of the lipid profile without the need of fasting and the calculation of the NHDL-c. If these values are above 145 mg/dL, another lipid profile should be requested within two weeks (total cholesterol and fractions) under 12-hour fasting and with individual analysis of the fractions. This universal investigation can also be conducted in children aged 2 to 9 years if there is family HCVD and avoided in children younger than 2 years for there are no established cut-off points, as well as in adolescents, considering that there is a physiological decrease in concentrations of lipoproteins, especially LDL-c, during puberty.⁵

NHDL-c has been presented in recent publications as the best predictor of CVD in the long-term compared with other components of the lipid profile, such as total cholesterol, LDL-c and the LDL/HDL ratio. A cohort study (Bogalusa Heart Study) noted that the NHDL-c values in childhood are more strongly associated with the thickness of the intima-media complex of the carotid in young adults.¹⁷

The calculation of NHDL-c is simple and fasting is not required for its evaluation. NHDL-c measures the atherogenic particles that contain the apolipoprotein (LDL-c, small and dense particles, VLDL-c, chylomicron remnants, IDL-c).¹⁸ In our study, NHDL-c values ≥145 mg/dL were independently associated with diastolic blood pressure and insulin resistance as measured by HOMA-IR. These findings are similar to those seen in the publication of the group from the Bogalusa Heart Study.¹² Also, NHDL-c can be considered a predictor of type 2 diabetes mellitus.¹⁹

A recent American population study found the average and percentage of unsuitability of NHDL-c at 110 mg/dL and 11.8%, respectively, in the age range between 9 and 11 years.¹³ These results are higher than those described in our study, which were 102 mg/dL and 3.7%.

Despite this set of findings, universal screening based on NHDL-c is not yet a consensus. Critics suggest that it is based on weak evidence, that there are no cost-benefit studies in the short and long term, that this investigation may lead to greater anxiety in the family, increased adoption of restrictive diets and the use of lipid-lowering medication at pediatric age.²⁰

In our study, only 10 (3.7%) of the children would require another blood collection for determination of the lipid profile, according to the recommendation for universal screening. On the other hand, if we were to use the family HCVD alone, this figure would be five times higher. The study model does not allow us to define what would be better in the study of CVD risk in this population. However, it is clear that this topic needs to be further explored and discussed, in order to define the best practice for the pediatric routine in view of the high prevalence of CVD in our population.

A greater number of schoolchildren participating in the study could statistically confirm the trend observed between the higher systolic BP in the group with high NHDL-c and the higher NHDL-c levels in the group with family HCVD. Another limitation refers to not having used more accurate methods to assess the risk of CVD, such as intima-media thickness.

CONCLUSION

This study demonstrated NHDL-c values associated with CVD risk factors such as blood pressure and insulin resistance. Family HCVD was not associated with classical risk factors for CVD, although the frequency of positive HCVD found was almost five times higher than that of high NHDL-c. The identification of early HCVD in children should be part of the pediatric routine, regardless of nutritional status, and a healthy lifestyle should be proposed and encouraged for both the child and the family.

• Study conducted at Departamento de Pediatria, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil
• Financial support: This study was funded by São Paulo State Research Foundation (Fapesp). Project number 08/58963-0 (MWLS) and 07/58044-2 (MCPF).

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Publication Dates

• Publication in this collection
  July 2016

History

• Received
  12 Jan 2015
• Accepted
  21 June 2015