Highlights
- •Overall Familial hypercholesterolemia (FH) prevalence in ELSA-Brasil is 1 in 263.
- •From White to Brown to Black Race/Ethnicity, there is increasing FH prevalence.
- •Weighted extrapolation for the Brazilian population derived similar frequencies.
Abstract
Background and aims
Familial hypercholesterolemia (FH) is a genetic disorder associated with high cardiovascular
burden of disease. FH prevalence may vary widely across populations and data in race/ethnically
diverse and admixed populations is scarce. ELSA-Brasil epidemiology may be widely
generalizable in this regard, and we calculated the ELSA-Brasil FH prevalence and
its variation according to age, sex and race/ethnicity.
Methods
In 14,460 individuals aged from 35 to 75 years from the ELSA-Brasil cohort baseline,
we classified FH according to the Dutch Lipid Clinic Network criteria score ≥6 (probable
and definite FH). LDL-C levels were adjusted for statin use. We calculated the overall
ELSA-Brasil FH prevalence and the weighted prevalence for age, sex and race/ethnic
categories. We extrapolated those frequencies to the Brazilian population weighting
for age-sex-race/ethnicity according to the 2015 Statistics and Geography Brazilian
Institute survey.
Results
The overall FH prevalence per 1000 individuals in ELSA-Brasil was 3.8 (2.9, 4.9) or
1 in 263. The age/sex/race-ethnicity-weighted FH prevalences were: male, 3.0 (1.7,
4.4) or 1 in 333; female, 4.1 (3.0, 5.2) or 1 in 244 (p<0.001). White race prevalence was 2.4 (1.9, 3.0) or 1 in 417; Brown, 4.9 (4.0, 5.9)
or 1 in 204; and Black 6.4 (41.1, 8.7) or 1 in 156 (p<0.001). The weighted extrapolation for the Brazilian population derived similar magnitude
frequencies.
Conclusions
FH affects 1 in 263 in ELSA-Brasil and affects disproportionally more Brown (1 in
204), and Black (1 in 156), than White (1 in 417). Weighted extrapolation for the
Brazilian population derived similar magnitude frequencies.
Keywords
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Article info
Publication history
Accepted:
August 21,
2018
Received in revised form:
August 16,
2018
Received:
March 31,
2018
Identification
Copyright
© 2018 Elsevier B.V. All rights reserved.
