| Literature DB >> 27168729 |
Costan G Magnussen1, Kylie J Smith2.
Abstract
A high blood pressure level in adults is considered the single most important modifiable risk factor for global disease burden, especially those of cardiovascular (CV) origin such as stroke and ischemic heart disease. Because blood pressure levels have been shown to persist from childhood to adulthood, elevations in pediatric levels have been hypothesized to lead to increased CV burden in adulthood and, as such, might provide a window in the life course where primordial and primary prevention could be focused. In the absence of substantive data directly linking childhood blood pressure levels to overt adult CV disease, this review outlines the available literature that examines the association between pediatric blood pressure and adult preclinical markers of CV disease.Entities:
Keywords: arterial stiffness; blood pressure; cardiovascular disease; carotid intima-media thickness; endothelial function; flow-mediated dilatation; hypertension; pediatric; prehypertension; review
Year: 2016 PMID: 27168729 PMCID: PMC4857790 DOI: 10.4137/CMBD.S18887
Source DB: PubMed Journal: Clin Med Insights Blood Disord ISSN: 1179-545X
Summary of studies that have shown an association between childhood blood pressure and adult structural, functional, and mechanical markers of preclinical CV health.
| OUTCOME | CITATION | POPULATION | AGE AT BASELINE (Y) | AGE AT LAST FOLLOW-UP (Y) | MAIN FINDINGS |
|---|---|---|---|---|---|
| Davis, 2001 | N = 725 (48% male) | 8–18 | 33–42 | Childhood SBP and DBP were more strongly associated with adult cIMT among females (r = 0.15 and r = 0.10) than males (r = 0.10 and r = 0.06) in univariable models. Among females, SBP and DBP were not associated with adult cIMT in a multivariable model that included childhood cholesterol and BMI. | |
| Li, 2003 | N = 486 (39% male, 29% black) | 4–17 | 25–37 | Childhood SBP was associated with adult cIMT in univariable analysis (r = 0.10). However childhood SBP did not predict high adult cIMT (OR = 1.00, 95% CI 0.80–1.25) in a multivariable model adjusting for childhood BMI and lipids. | |
| Raitakari, 2003 | N = 2229 (45% male) | 3–18 | 24–39 | In univariable models, childhood SBP was associated with adult cIMT in males (β = 0.020 mm, SE = 0.005) and females (β = 0.012 mm, SE = 0.004) whereas childhood DBP was significant only among males (β = 0.011 mm, SE = 0.005). Adolescent (12–18 years) SBP was significantly associated with adult cIMT (β = 0.013 mm, SE = 0.003) in a multivariable model that adjusted for age, sex, and childhood LDL-cholesterol, BMI, and smoking status. | |
| Li, 2007 | N = 868 (42% male, 29% black) | 4–17 | 25–44 | Childhood SBP was a significant multivariable predictor of adult cIMT among white females (β = 0.132 mm per 1-unit increase in age-, race-, and sex-specific z-score) and black males (β = 0.241 mm) but not white males (β = 0.082 mm) or black females (β = 0.115 mm) in a model that included childhood BMI and lipids. Associations with childhood DBP were not reported. | |
| Raitakari, 2009 | N = 2146 (45% male) | 3–18 | 24–39 | Childhood (3–9 years) pulse pressure was not associated with adult cIMT. Each 10 mmHg increase in adolescent (12–18 years) pulse pressure was associated with a 0.008 mm (95% CI 0.003–0.013) increase in adult cIMT independent of adolescent MAP, BMI, physical activity, adult MAP, pulse pressure, BMI, smoking and carotid diameter. | |
| Juonala & Magnussen, 2010 | N = 4380 (46% male) | 3–18 | 20–45 | In multivariable analyses that pooled data from four child to adult cohorts and considered associations from 3-year age groups (3 y, 6 y, 9 y, 12 y, 15 y, 18 y), childhood SBP was associated with adult cIMT at age 6 y (β = 0.102 mm for a one-unit increase in z-score, SE = 0.033), 12 y (β = 0.078 mm, SE = 0.023), 15 y (β = 0.063 mm, SE = 0.022), and 18 y (β = 0.064 mm, SE = 0.027). | |
| Juhola & Magnussen, 2013 | N = 4210 (45% male) | 4–18 | 23–46 | Compared to those with normal BP at both time points, individuals with elevated BP in childhood and adulthood had increased risk of high adult cIMT (RR = 1.82; 95% CI 1.47–2.38); those who had resolved their elevated BP status between childhood and adult-hood had a marginally increased risk of high adult cIMT (RR = 1.24; 95% CI 0.92–1.67). | |
| Liang, 2014 | N = 1259 (55% male) | 6–18 | 30–42 | Compared to children with normal BP, those with elevated BP had increased odds of high adult cIMT ≥80th age- and sex-specific percentile (OR = 1.4; 95% CI 1.0–1.9). A 1-SD increase in childhood SBP and DBP was associated with a 0.173 mm and 0.087 mm increase in adult cIMT. | |
| Oikonen, 2016 | N = 1927 (46% male) | 3–24 | 30–45 | Compared with a single measurement, multiple measurements of elevated blood pressure in childhood improved prediction of adult hypertension (single elevated blood pressure AUC = 0.60 vs. two elevated blood pressures in childhood AUC = 0.63, P = 0.003) but not elevated cIMT (single elevated blood pressure AUC = 0.59 vs. two elevated blood pressures in childhood AUC = 0.59, P = 0.82). | |
| Juonala, 2006 | N = 2109 (44% male) | 3–18 | 24–39 | Adolescent (12–18 years) SBP was negatively associated with adult FMD among men but not women. Childhood SBP (3–9 years) was not associated with adult FMD among men or women. Childhood and adolescent DBP were not associated with adult FMD. For adolescent males, a significant effect remained (β = −0.049%; SE = 0.016 per 1 mmHg increase) with multivariable adjustment for adolescent risk factors (BMI, lipids, smoking, insulin, birth weight) and brachial diameter. | |
| Mahoney, 1996 | N = 384 (51% male) | 8–18 | 29–37 | Childhood SBP and DBP were not significantly different between those who had CAC in adulthood and those who did not. | |
| Hartiala, 2012 | N = 589 (45% male) | 12–18 | 40–46 | Adolescent SBP predicted adult CAC independently of change in SBP during the 27-year follow-up (OR = 1.38; 95% CI: 1.08–1.77), for 1-SD increase in adolescence systolic BP. Change in SBP between adolescence and adulthood was marginally associated with adult CAC (OR = 1.25; 95% CI: 0.98–1.60) for 1-SD increase. | |
| Li, 2004 | N = 835 (44% male, 28% black) | 4–17 | 24–44 | SBP was the only childhood predictor of adult brachial-ankle PWV (β = 0.85 cm/s per age-, sex, and race-standardized z-score increase). Cumulative burden of SBP from childhood to adulthood was also a multivariable predictor of adult PWV (AUC β = 0.299 m/s per z-score increase). | |
| Juonala, 2005 | N = 2255 (45% male) | 3–18 | 24–39 | A 1-SD increase in childhood SBP was positively associated with adult YEM (β = 23.7 mmHg⋅mm; SE = 3.7) and negatively associated with adult CAC (β = 0.106%/10 mmHg; SE = 0.017) independent of age, sex, and childhood adiposity. | |
| Ferreira, 2012 | N = 373 (% males not reported) | 13 | 36 | Individuals in the highest third of carotid stiffness at age 36 years were defined by higher MAP, SBP, and DBP in adolescence (age 13 or 14 years) and experienced larger increases in these measures between childhood and adulthood compared with those with the least stiff arteries at age 36 years. | |
| Aatola, 2013 | N = 1241 (44% male) | 6–15 | 33–42 | Elevated childhood BP predicted high adult arterial PWV when the definition of high BP was age-specific (RR = 1.5, 95% CI = 1.1–2.0), age and sex specific (RR = 1.6, 95% CI = 1.2–2.2), and age, sex and height specific (RR = 1.7, 95% CI = 1.2–2.2). | |
| Li, 2014 | N = 680 (43% male, 27% black) | 4–17 | 24–44 | Childhood SBP (per z-score increase) was the only childhood risk factor significantly associated with adult brachial-ankle PWV (β = 34.27 cm/s; SE = 9.28). Similar results were observed for DBP (data not shown by authors). There was no significant interaction between SBP and race/sex, though the effect tended to be stronger amongst females. | |
| Liang, 2014 | N = 1259 (55% male) | 6–18 | 30–42 | Compared to those with normal childhood BP, those with elevated childhood BP had increased odds for carotid-femoral PWV ≥80th percentile (OR = 1.8; 95% CI = 1.3–2.4). A 1-SD increase in childhood SBP and DBP was associated with a 0.105 cm/s and 0.099 m/s increase in adult carotid-femoral PWV. | |
| Yun, 2015 | N = 945 (45% male, 30% black) | 4–17 | 24–43 | Childhood SBP and DBP (per z-score increase) were not associated with adult aorta-femoral PWV (β = 0.012 m/s and β = 0.045 m/s). Adult aorta-femoral PWV was associated with total AUC of SBP (β = 0.201 m/s), incremental AUC of SBP (β = 0.173 m/s), total AUC of DBP (β = 0.174 m/s) and incremental AUC of DBP (β = 0.158 m/s). | |
| Dekkers, 2002 | N = 687 (49% male, 48% black) | Mean age (SD) = 14 (3) | Not reported (length of follow-up 10 years) | Among children with medical record-verified family history of CVD <55 y of age, SBP and pulse pressure increased along with LV mass over a 10 year period. However, the proportion of between-subject difference in LV mass accounted by SBP and pulse pressure was small compared with a model that considered ethnicity, gender, and adiposity. | |
| Toprak, 2008 | N = 824 (41% male, 31% black) | 5–18 | 24–44 | Childhood DBP was a significant predictor of adult concentric LV hypertrophy vs. normal geometry (OR = 1.14 per 1-unit increase, 95% CI 1.03–1.26) independent of other childhood risk factors including adiposity. | |
| Magnussen, 2014 | N = 181 (54% male) | 9–15 | Mean age (SD) = 31.3 (2.6) | The correlation between childhood DBP and adult LV mass index was stronger among those with a family history of coronary heart disease than in those without (r = 0.65 versus r = 0.16). | |
| Lai, 2014 | N = 1061 (43% male, 32% black) | 4–18 | 24–46 | Higher childhood SBP was associated with adult LV mass index (β = 0.08 g/m2.7 per 1-SD increase, 95% CI = 0.01–0.14) and odds of adult LV hypertrophy (OR = 1.27, 95% CI = 1.04–1.54). Similar patterns were observed for DBP (data not reported by authors). | |
| Liang, 2014 | N = 1259 (55% male) | 6–18 | 30–42 | Compared to children with normal BP, those with elevated BP had increased odds for LV mass index ≥80th percentile (OR = 1.4; 95%CI = 1.0–1.9). A 1-SD increase in childhood SBP and DBP was associated with a 0.091 g/m2 and 0.073 g/m2 increase in adult LV mass index. | |
| Tapp, 2015 | N = 657 (46% male) | 3–9 | 24–40 | Childhood SBP and DBP were negatively associated with adult arteriolar diameter (β = −0.341 pixels and β = −0.287 pixels) and positively associated with arteriolar length-to-diameter ratio (β = 0.112 and β = 0.144) and for SBP arteriolar tortuosity (β = 0.156 × 102). Change in SBP and DBP from childhood to adulthood was also negatively associated with arteriolar diameter (β = −0.331 pixels and β = −0.350 pixels) and positively associated with arteriolar length-to-diameter ratio (β = 0.153 and β = 0.138). | |
Abbreviations: AUC, area under the receiver operating characteristic curve; BMI, body mass index; BP, blood pressure; CAC, coronary artery calcium; CI, confidence interval; cIMT, carotid intima-media thickness; CVD, cardiovascular disease; DBP, diastolic blood pressure; FMD, flow-mediated dilatation; LDL, low-density lipoprotein; LV, left ventricular; MAP, mean arterial pressure; OR, odds ratio; PWV, pulse wave velocity; RR, relative risk; SBP, systolic blood pressure; SD, standard deviation; SE, standard error; YEM, Young’s elastic modulus.
| HIGHLIGHTS OF THIS REVIEW |
|---|
| • Cardiovascular disease begins early in life and has a long manifest stage before clinical end-points such as myocardial infarction and stroke present. |
| • Evidence from prospective cohort studies show that pediatric blood pressure levels predict blood pressure status and early preclinical markers of CV disease measured decades later in adulthood. |
| • Because of these data, the National High Blood Pressure Education Program, and National Heart Lung and Blood Institute have issued guidelines on the screening and treatment of children with elevated blood pressure levels. |
| • Data are needed to identify the best blood pressure cut-points, combination of blood pressure measurements, and critical age or age window for blood pressure screening among children for future risk prediction of adult cardiovascular health. |
| • Because long-term interventions are unlikely to span childhood to adulthood, observational data on the factors that predict resolution of elevated blood pressure between childhood and adulthood and impact of resolution on adult cardiovascular health are needed. |
| • Data linking childhood blood pressure to clinical cardiovascular end-points are needed. |