[Clinical and laboratory detection of phenotypic characteristics in patients with high hypertriglyceridemia]

The purpose of the study was to define the values of clinical and biochemical (phenotypic) differences in 2 groups of patients: 1) those with moderate (< or =4.5 mmol/l) blood triglyceride (TG) levels and 2) those with high (more than 4.5 mmol/l) blood TG levels and to reveal significant parameters of a diagnostic algorithm for primary and secondary forms of hypertriglyceridemia (HTG). Ninety-six (54%) patients females) with a TG level of more than 2.3 mmol/l were examined. The age was 12 to 71 years (median [quartiles] 50 years [41-61 years]); women accounted for 54%. The patients had the following diseases: coronary heart disease (CHD) (44.89%), myocardial infarction (13.5%), arterial hypertension (87.9%). The diagnosis of HTG included an algorithm for the clinical, biochemical, and clinicogenealogical examination of patients. Biochemical blood analysis involved lipoprotein parameters: cholesterol, triglycerides, low-density lipoprotein cholesterol, lipid electrophoresis, apolipoproteins Al, B-100, E, and C-III. The data were processed using the statistical packages STATISTICA 6.0 and SPSS 17.0. Comparison revealed no age- and gender-related differences in the parameters between Groups 1 and 2 There was a significant correlation between the high levels of TG and the following indicators: total cholesterol, chylomicrones, lipoprotein(a), LP-E , LP B:E, LP C-III4, and LP C-III, smoking (a risk factor) and with the indicators of other metabolic disturbances--total C, chylomicrones, lipoprotein(a), LP-E-total, LP B:E, LP-C3-total, and LP-C3, which determined the impact of nutrition had a hereditary predisposition through the polygenic mechanisms of gene expression under the influence of a number of factors. Pancreatitis was found to be implicated in the development of HTG. Higher TG levels correlated with the parameters, the diagnosis of which reveals additional metabolic disturbances via environmental and polygenic mechanisms