Prevalence of dyslipidemia and its association with cardiometabolic factors and kidney function in the adult Romanian population: The PREDATORR study

Diabetes Metab Syndr. 2019 Jan-Feb;13(1):596-602. doi: 10.1016/j.dsx.2018.11.033. Epub 2018 Nov 13.

Abstract

The aims were to assess the prevalence and characteristics of dyslipidemia phenotypes in a Romanian population-based sample from the PREDATORR study.

Methods: PREDATORR was an epidemiological study with a cross-sectional, cluster random sampling design. Participants were classified into four dyslipidemia phenotypes based on the NCEP ATP III criteria: isolated hypertrigliceridemia, isolated hypoHDL-C, isolated hyperLDL-C and mixed dyslipidemia (≥2 standard lipid abnormalities). Overall, 2656 were included in the analysis by dyslipidemia phenotypes.

Results: An estimated 67.1% of Romanian adults have at least one lipid abnormality: 27.5% (95%CI26.0-28.9%) have elevated TG, 29.4% (95%CI27.9-30.8%) have low HDL-C and 47.8% (95%CI46.3-49.2%) have elevated LDL-C (26.2% had LDL-C levels ≥2.58 mmol/l associated with CHD or CHD risk equivalent). Also, 30% Romanian adults have mixed dyslipidemia with 7.6% (95%CI6.1-9.0%) having all three lipid abnormalities. THE AGE: and sex-adjusted prevalence of isolated dyslipidemia phenotypes in Romanian adult population was 23.7% (95%CI22.2-25.1%) for hyperLDL-Cholesterolemia, 9.3% (95%CI7.8-10.7%) for hypoHDL-Cholesterolemia and 4.1% (95%CI2.6-5.5%) for hypertriglyceridemia. Among participants with triglycerides ≥2.25 mmol/l, 15.2% (95%CI13.7-16.6%) of Romanian adults have non-HDL-C levels ≥3.36 mmol/l.

Conclusions: The PREDATORR survey indicated a high prevalence of dyslipidemia phenotypes in the Romanian population aged 20-79 years, providing data on its association with several cardiometabolic risk factors.

Keywords: Cardiometabolic profile; Dyslipidemia; Epidemiology; PREDATORR study.

MeSH terms

  • Adult
  • Aged
  • Cardiovascular Diseases / blood
  • Cardiovascular Diseases / diagnosis
  • Cardiovascular Diseases / epidemiology*
  • Cluster Analysis
  • Cross-Sectional Studies
  • Dyslipidemias / blood
  • Dyslipidemias / diagnosis
  • Dyslipidemias / epidemiology*
  • Female
  • Follow-Up Studies
  • Humans
  • Kidney / physiology*
  • Male
  • Metabolic Diseases / blood
  • Metabolic Diseases / diagnosis
  • Metabolic Diseases / epidemiology*
  • Middle Aged
  • Population Surveillance* / methods
  • Prevalence
  • Risk Factors
  • Romania / epidemiology