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PROMETHEUS: an observational, cross-sectional, retrospective study of hypertriglyceridemia in Russia.

Karpov Y, Khomitskaya Y - Cardiovasc Diabetol (2015)

Bottom Line: TG levels were 16.4% higher in males versus females; males had a greater risk of hypertriglyceridemia (risk ratio 1.25; 95% CI 1.24, 1.26; P < 0.0001).Hypertriglyceridemia prevalence increased over time.Although the risk of hypertriglyceridemia was greater in males versus females, its prevalence increased with age, regardless of sex.

View Article: PubMed Central - PubMed

Affiliation: Russian Cardiology Research and Production Complex, Moscow, Russian Federation. yuri_karpov@inbox.ru.

ABSTRACT

Background: Data regarding the prevalence of hypertriglyceridemia in the Russian population are lacking, despite triglyceride (TG)-mediated pathways being causal in cardiovascular disease. The prevalence of mixed dyslipidemia and severe hypertriglyceridemia in the Russian population (PROMETHEUS) was undertaken to address this gap.

Methods: This was an observational, cross-sectional retrospective study. Data from adults with a full/partial lipoprotein record who had blood analyses done at an INVITRO laboratory in Russia between January 1, 2011 and December 31, 2013 were analyzed. The primary endpoint was the prevalence of hypertriglyceridemia (TG ≥ 1.7 mmol/L); secondary endpoints included prevalence of borderline high, high, and very high TG and severe hypertriglyceridemia, defined as a TG level of 1.7 to <2.3, 2.3 to <5.6, ≥5.6, and ≥10.0 mmol/L, respectively. Statistical analyses involved the Wilcoxon and the Chi square tests. Correlations between log-transformed TG and low- and high-density lipoprotein cholesterol (LDL-C and HDL-C) and total cholesterol (TC) were assessed. The correlation between glycated hemoglobin (HbA1c) and TG levels in a nested sample of subjects with HbA1c and TG data was also assessed using a log-linear model.

Results: The full dataset and nested sample comprised 357,072 and 54,602 individuals, respectively. Prevalence of hypertriglyceridemia, borderline high TG, high TG, very high TG, and severe hypertriglyceridemia in the full dataset was 29.2, 16.2, 12.9, 0.11, and 0.011%, respectively; corresponding rates in the nested sample were 19.0, 17.2, 0.25, and 0.016%, respectively. TG levels were 16.4% higher in males versus females; males had a greater risk of hypertriglyceridemia (risk ratio 1.25; 95% CI 1.24, 1.26; P < 0.0001). Prevalence of hypertriglyceridemia increased with age, peaking at 40-49 years in males (42.8%) and 60-69 years in females (34.4%); a 0.61% increase in TG levels for each year of life was predicted. Hypertriglyceridemia prevalence increased over time. Correlations between TG and LDL-C, HDL-C, TC, and HbA1c (nested sample only) were observed.

Conclusions: Almost one-third of Russians have hypertriglyceridemia, but severe disease (TG ≥ 10.0 mmol/L) is rare. Although the risk of hypertriglyceridemia was greater in males versus females, its prevalence increased with age, regardless of sex. TG was associated with HbA1c, LDL-C, HDL-C, and TC.

No MeSH data available.


Related in: MedlinePlus

Visualization of the model: log(TG) = β0 + β1*log(HDL-C). Full dataset (n = 357,072). The model is a good fit with the real data. TG triglycerides, HDL-C high-density lipoprotein cholesterol.
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Fig10: Visualization of the model: log(TG) = β0 + β1*log(HDL-C). Full dataset (n = 357,072). The model is a good fit with the real data. TG triglycerides, HDL-C high-density lipoprotein cholesterol.

Mentions: The relationships between TG levels and other lipids are depicted in Figs. 8, 9, 10. In the full dataset and in the nested sample, mean LDL-C levels were 3.63 and 3.54 mmol/L, respectively, mean HDL-C levels were 1.32 and 1.25 mmol/L, respectively, and mean TC levels were 5.61 and 5.52 mmol/L, respectively. The correlation between LDL-C and TG was assessed using the log-linear model: log(TG) = β0 + β1*log(LDL-C). Low correlations (full dataset, R = 0.3909; nested sample, R = 0.2658) were found with the model predicting a 0.39 % and a 0.27 % increase in TG level with each 1 % increase in LDL-C level in the full dataset and nested sample, respectively (P < 0.0001). The correlation between TC and TG was assessed using the log-linear model: log(TG) = β0 + β1*log(TC). The model predicts a 0.78 % increase in TG level with each 1 % increase in TC level (P < 0.0001). The determination coefficient for the model is 0.13 and accounts for 13 % of all variability in TG levels. The correlation between HDL-C and TG was assessed using the log-linear model: log(TG) = β0 + β1*log(HDL-C). The model predicts a 0.76 % decrease in TG level with each 1 % increase in HDL-C level (P < 0.0001). The determination coefficient for the model is 0.18 and accounts for 18 % of all variability in TG levels (Table 3).Fig. 8


PROMETHEUS: an observational, cross-sectional, retrospective study of hypertriglyceridemia in Russia.

Karpov Y, Khomitskaya Y - Cardiovasc Diabetol (2015)

Visualization of the model: log(TG) = β0 + β1*log(HDL-C). Full dataset (n = 357,072). The model is a good fit with the real data. TG triglycerides, HDL-C high-density lipoprotein cholesterol.
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4549018&req=5

Fig10: Visualization of the model: log(TG) = β0 + β1*log(HDL-C). Full dataset (n = 357,072). The model is a good fit with the real data. TG triglycerides, HDL-C high-density lipoprotein cholesterol.
Mentions: The relationships between TG levels and other lipids are depicted in Figs. 8, 9, 10. In the full dataset and in the nested sample, mean LDL-C levels were 3.63 and 3.54 mmol/L, respectively, mean HDL-C levels were 1.32 and 1.25 mmol/L, respectively, and mean TC levels were 5.61 and 5.52 mmol/L, respectively. The correlation between LDL-C and TG was assessed using the log-linear model: log(TG) = β0 + β1*log(LDL-C). Low correlations (full dataset, R = 0.3909; nested sample, R = 0.2658) were found with the model predicting a 0.39 % and a 0.27 % increase in TG level with each 1 % increase in LDL-C level in the full dataset and nested sample, respectively (P < 0.0001). The correlation between TC and TG was assessed using the log-linear model: log(TG) = β0 + β1*log(TC). The model predicts a 0.78 % increase in TG level with each 1 % increase in TC level (P < 0.0001). The determination coefficient for the model is 0.13 and accounts for 13 % of all variability in TG levels. The correlation between HDL-C and TG was assessed using the log-linear model: log(TG) = β0 + β1*log(HDL-C). The model predicts a 0.76 % decrease in TG level with each 1 % increase in HDL-C level (P < 0.0001). The determination coefficient for the model is 0.18 and accounts for 18 % of all variability in TG levels (Table 3).Fig. 8

Bottom Line: TG levels were 16.4% higher in males versus females; males had a greater risk of hypertriglyceridemia (risk ratio 1.25; 95% CI 1.24, 1.26; P < 0.0001).Hypertriglyceridemia prevalence increased over time.Although the risk of hypertriglyceridemia was greater in males versus females, its prevalence increased with age, regardless of sex.

View Article: PubMed Central - PubMed

Affiliation: Russian Cardiology Research and Production Complex, Moscow, Russian Federation. yuri_karpov@inbox.ru.

ABSTRACT

Background: Data regarding the prevalence of hypertriglyceridemia in the Russian population are lacking, despite triglyceride (TG)-mediated pathways being causal in cardiovascular disease. The prevalence of mixed dyslipidemia and severe hypertriglyceridemia in the Russian population (PROMETHEUS) was undertaken to address this gap.

Methods: This was an observational, cross-sectional retrospective study. Data from adults with a full/partial lipoprotein record who had blood analyses done at an INVITRO laboratory in Russia between January 1, 2011 and December 31, 2013 were analyzed. The primary endpoint was the prevalence of hypertriglyceridemia (TG ≥ 1.7 mmol/L); secondary endpoints included prevalence of borderline high, high, and very high TG and severe hypertriglyceridemia, defined as a TG level of 1.7 to <2.3, 2.3 to <5.6, ≥5.6, and ≥10.0 mmol/L, respectively. Statistical analyses involved the Wilcoxon and the Chi square tests. Correlations between log-transformed TG and low- and high-density lipoprotein cholesterol (LDL-C and HDL-C) and total cholesterol (TC) were assessed. The correlation between glycated hemoglobin (HbA1c) and TG levels in a nested sample of subjects with HbA1c and TG data was also assessed using a log-linear model.

Results: The full dataset and nested sample comprised 357,072 and 54,602 individuals, respectively. Prevalence of hypertriglyceridemia, borderline high TG, high TG, very high TG, and severe hypertriglyceridemia in the full dataset was 29.2, 16.2, 12.9, 0.11, and 0.011%, respectively; corresponding rates in the nested sample were 19.0, 17.2, 0.25, and 0.016%, respectively. TG levels were 16.4% higher in males versus females; males had a greater risk of hypertriglyceridemia (risk ratio 1.25; 95% CI 1.24, 1.26; P < 0.0001). Prevalence of hypertriglyceridemia increased with age, peaking at 40-49 years in males (42.8%) and 60-69 years in females (34.4%); a 0.61% increase in TG levels for each year of life was predicted. Hypertriglyceridemia prevalence increased over time. Correlations between TG and LDL-C, HDL-C, TC, and HbA1c (nested sample only) were observed.

Conclusions: Almost one-third of Russians have hypertriglyceridemia, but severe disease (TG ≥ 10.0 mmol/L) is rare. Although the risk of hypertriglyceridemia was greater in males versus females, its prevalence increased with age, regardless of sex. TG was associated with HbA1c, LDL-C, HDL-C, and TC.

No MeSH data available.


Related in: MedlinePlus