The hypertriglyceridaemic waist (HTW) phenotype is defined for the general population. Chronic kidney disease (CKD) tends to bring on changes in body composition, is associated with higher comorbidity than the general population and, furthermore, shows reverse epidemiology with related prognostic variables like cholesterol and body mass index. Our objective was to identify cut-off points in the population with CKD and to analyse its relationship with cardiovascular risk (CVR).
We included 2271 CKD patients from the NEFRONA cohort. Triglyceride and waist cut-off points were selected through quintiles analysis and receiver operating characteristic (ROC) curves evaluation, using the presence of moderate to severe atherosclerosis score (AS 2-3) as outcome variable. Then, we analysed HTW prevalence and its association with other cardiovascular risk factors, and we measured the magnitude of its effect on AS 2-3 and cardiovascular event or death (CVEoD) by multivariate regression analysis.
We selected the cut-off points: triglyceride concentrations ≥143 mg/dl with waist circumference values>102cm in men and 94cm in women (sensitivity 26%; specificity 87%). Specific HTW prevalence was 22.4%, without significative differences between CKD stages. The multivariate regression analysis shows specific HTW as an independent AS 2-3 (OR 1.61; 95% CI: 1.12-2.32, p=0.011) and CVEoD (HR 3.08; 95% CI: 1.66-5.72, p=0.000) risk factor. An interaction between phosphorus level and specific HTW was identified.
Adapting the HTW definition might improve specificity to assess cardiovascular risk in the population with CKD. It identifies an additional CVR in a population in which other screening methods have not proven to be useful, and it is easily clinically accessible. Its interaction with phosphorus levels suggests an association between HTW and bone-mineral metabolism regulation.

BACKGROUND: The increase in myocardial fat has been proposed as one of the main precursors of myocardial dysfunction due to diabetic aetiology, independently of coronary artery disease. However, biomarkers reflecting the myocardial fat content for the clinical detection of this pathology are currently lacking.
METHODS: Correlations between cardiac triglyceride content and plasma levels of major altered molecules during diabetes and cardiac mRNA levels of genes involved in cardiac metabolism (Cd36 and Pdk4) have been explored in a murine model of insulin resistance induced by a high-fat diet.
RESULTS: In insulin-resistant mice, the fatty diet increased myocardial triglyceride levels, compared to control animals fed with a standard diet. The content of cardiac triglycerides was directly associated with plasma levels of glucose, triglycerides, VLDL, resistin and leptin. In addition, an inverse correlation was observed between the content of cardiac triglycerides and the cardiac mRNA levels of Cd36 and Pdk4.
CONCLUSIONS: Our data reveal that the cardiac triglyceride content is associated with altered plasma biochemical profile and reprogramming of gene expression aimed to mitigate the impact of ectopic lipid accumulation in the myocardium.

OBJECTIVE: The triglyceride/HDL cholesterol ratio, as a surrogate marker of insulin resistance, may be associated to presence of subclinical carotid atherosclerosis in postmenopausal women. The aim of this study was to explore this association.
METHODS: Women (last menstrual period≥2 years) in primary prevention up to 65 years of age were recruited. Association between the triglyceride/HDL cholesterol (HDL-C) ratio and presence of carotid plaque, assessed by ultrasonography, was analyzed. ROC analysis was performed, determining the precision of this ratio to detect carotid plaque.
RESULTS: A total of 332 women (age 57±5 years) were recruited. Triglyceride/HDL-C ratio was 2.35±1.6. Prevalence of carotid plaque was 29%. Women with carotid plaque had higher triglyceride/HDL-C ratios (3.33±1.96 vs. 2.1±1.2, P<.001) than women with no carotid plaque. A positive relationship was seen between quintiles of this ratio and prevalence of carotid plaque (p<.001). Regardless of other risk factors, women with higher triglyceride/HDL-C ratios were more likely to have carotid plaque (odds ratio 1.47, 95% confidence interval 1.20-1.79, P<.001). The area under the curve of the triglyceride/HDL-C ratio to detect carotid plaque was .71 (95% confidence interval .65 to .76), and the optimal cut-off point was 2.04.
CONCLUSIONS: In postmenopausal women in primary prevention, insulin resistance, estimated from the triglyceride/HDL-C ratio, was independently associated to a greater probability of carotid plaque. A value of such ratio greater than 2 may be used for assessing cardiovascular risk in this particular group of women.

OBJECTIVE: Recent genome-wide association studies have identified a locus on chromosome 12q13.3 associated with plasma levels of triglyceride and high-density lipoprotein cholesterol, with rs11613352 being the lead single nucleotide polymorphism in this genome-wide association study locus. The aim of the study is to investigate the involvement of rs11613352 in a population with high cardiovascular risk due to familial hypercholesterolemia.
METHODS: The single nucleotide polymorphism was genotyped by Taqman(®) assay in a cohort of 601 unrelated familial hypercholesterolemia patients and its association with plasma triglyceride and high-density lipoprotein cholesterol levels was analyzed by multivariate methods based on linear regression.
RESULTS: Minimal allele frequency was 0.17 and genotype frequencies were 0.69, 0.27, and 0.04 for CC, CT, and TT genotypes, respectively. The polymorphism is associated in a recessive manner (TT genotype) with a decrease in triglyceride levels (P=.002) and with an increase in high-density lipoprotein cholesterol levels (P=.021) after adjusting by age and sex.
CONCLUSIONS: The polymorphism rs11613352 may contribute to modulate the cardiovascular risk by modifying plasma lipid levels in familial hypercholesterolemia patients.

OBJECTIVE: To analyse the prevalence, evolution of cardiovascular risk factors (CVRF) and their relationship with follow-up of metabolic control in pediatric patients with Type 1 Diabetes (T1DM).
METHODS: Longitudinal ambispective study including 75 children and adolescents with T1DM diagnosed from 1996 to 2003 and followed-up for nine years. Family history of CVRF was registered. Data from the second, sixth and ninth year after diagnosis were analysed.
RESULTS: Family history of CVRF was found in 46.6% of the patients. The prevalence of HbA1c>7.5% in the second, sixth and ninth year after diagnosis was 45.3%, 53.3% y 56%, respectively. The prevalence of obesity (BMI>2SDS) in the three visits was 5.3%, 5.3% y 6.7%, respectively. Hypertension (BP>p90) was found in 14.6%, 8% and 13.3% of the patients in the three visits, respectively. Total cholesterol>200mg/dl: 25.3%, 13.3% and 16%; high density cholesterol lipoprotein< 40 mg/dl: 1.3%, 1.3% and 4%; low density cholesterol lipoprotein>100mg/dl: 38.6%, 34.6% and 38.6%; triglyceride>150 mg/dl: 0%, 1.3% and 2.6%, respectively. There was a significant increase in the prevalence of TG/HDL-C ≥ 2 between the sixth and the ninth year after diagnosis (1.3% and 9.3%, P<.05). A persistent HbA1c ≥ 7.5% showed a statistically significant relationship to a 0.94 decrease in HDL-C z-score between the second and the sixth year, and a persistent HbA1c<7.5% was significantly associated with a 0.55 increase in HDL-C z-score (P=.015) in the same period.
CONCLUSIONS: A non-optimal metabolic control in first years of DM1 is associated with a decrease in HDL-C z-score. TG/HDL-C ratio could be an early marker of cardiovascular risk.

OBJECTIVE: Atherogenic dyslipidemia, which is characterized by increased triglyceride levels and reduced HDL cholesterol levels, is underestimated and undertreated in clinical practice. We assessed its prevalence and the achievement of therapeutic objectives for HDL cholesterol and triglyceride levels in patients treated at lipid and vascular risk units in Spain.
METHODS: This was an observational, longitudinal, retrospective, multicenter study performed in 14 autonomous Spanish communities that consecutively included 1828 patients aged ≥18 years who were referred for dyslipidemia and vascular risk to 43 lipid clinics accredited by the Spanish Society of Arteriosclerosis. We collected information from the medical records corresponding to 2 visits conducted during 2010 and 2011-12, respectively.
RESULTS: Of the 1649 patients who had a lipid profile in the first visit (90.2%), 295 (17.9%) had atherogenic dyslipidemia. The factors associated with atherogenic dyslipidemia were excess weight/obesity, not taking hypolipidemic drugs (statins and/or fibrates), diabetes, myocardial infarction and previous heart failure. Of the 273 (92.5%) patients with atherogenic dyslipidemia that had a lipid profile in the last visit, 44 (16.1%) achieved the therapeutic objectives for HDL cholesterol and triglyceride levels. The predictors of therapeutic success were normal weight and normoglycemia.
CONCLUSIONS: One of every 6 patients treated in lipid and vascular risk units had atherogenic dyslipidemia. The degree to which the therapeutic goals for HDL cholesterol and triglyceride levels were achieved in these patients was very low.

BACKGROUND: Atherogenic dyslipidemia is an important risk factor for cardiovascular disease. We aim to determine atherogenic dyslipidemia prevalence in primary care patients at moderate-very high cardiovascular risk and its associated cardiovascular risk perception in Spain.
METHODS: This cross-sectional study included 1137 primary care patients. Patients had previous cardiovascular disease, diabetes mellitus, SCORE risk ≥ 3, severe hypertension or dyslipidemia. Atherogenic dyslipidemia was defined as low HDL-C (<40 mg/dL [males], <50 mg/dL [females]) and elevated triglycerides (≥ 150 mg/dL). A visual analog scale was used to define a perceived cardiovascular disease risk score.
RESULTS: Mean age was 63.9 ± 9.7 years (64.6% males). The mean BMI was 29.1 ± 4.3 kg/m(2), and mean waist circumference 104.2 ± 12.7 cm (males), and 97.2 ± 14.0 cm (females). 29.4% were smokers, 76.4% had hypertension, 48.0% were diabetics, 24.7% had previous myocardial infarction, and 17.8% peripheral arterial disease. European guidelines classified 83.6% at very high cardiovascular risk. Recommended HDL-C levels were achieved by 50.1% of patients and 37.3% had triglycerides in the reference range. Target LDL-C was achieved by 8.8%. The overall atherogenic dyslipidemia prevalence was 27.1% (34.1% in diabetics). This prevalence in patients achieving target LDL-C was 21.4%. Cardiovascular risk perceived by patients was 4.3/10, while primary care physicians scored 5.7/10.
CONCLUSIONS: When LDL-C levels are controlled, atherogenic dyslipidemia is more prevalent in those patients at highest cardiovascular risk and with diabetes. This highlights the importance of intervention strategies to prevent the residual vascular risk in this population. Both patients and physicians underestimated cardiovascular risk.

OBJECTIVE: To determine lipid serum levels, lipoproteins and other markers related to nephropathy and peripheral arterial disease (PAD) in a type 2 diabetes population stratified according to their level of renal dysfunction.
METHODS: A cross-sectional study was conducted on 72 type 2 diabetic patients followed-up in outpatient clinics. Patients were divided into 4 groups according to their estimated glomerular filtration rate (eGFR, mL/min) and albumin/creatinine ratio (ACR, mg/g) (eGFR > 60 and ACR < 30 [n = 23], eGFR > 60 and ACR > 30 [n = 12], eGFR30-60 [n = 23] and eGFR < 30 [n = 14]). Clinical and anthropometric characteristic of all patients were recorded. Fasting lipids and apolipoproteins, as well as renal and hematology parameters were measured. Finally, a multivariate Wald stepwise logistic regression statistic analysis was performed to determine variables independently associated with the presence of renal dysfunction.
RESULTS: The univariate statistical analysis showed that the higher renal dysfunction, the higher the prevalence of hypertension, smoking habit and triglycerides levels, and the lower hemoglobin levels (P < .05). The multivariate statistical analysis showed that only triglycerides levels (OR: 1.019, 95% CI: 1.004-1.034) and hemoglobin levels (OR: 0.516 95% CI: 0.292-0.914) were independently associated to the presence of renal dysfunction (eGFR < 60 mL/min.). The further inclusion of the presence of PAD in the statistical model did not modify those associations.
CONCLUSIONS: The results confirm the relationship between triglycerides levels and diabetic nephropathy, independently of the presence of PAD.

OBJECTIVE: To assess whether subclinical hypothyroidism is associated to elevations in serum cholesterol and triglyceride levels in patients with type 2 diabetes.
METHODS: From a total population of 1,112 patients with type 2 diabetes screened for thyroid dysfunction (thyrotropin measurement), a group of 325 patients with normal thyroid function and another group of 29 patients with subclinical hypothyroidism were selected. No patient had known dyslipidemia or was taking lipid lowering medication.
RESULTS: Patients with subclinical hypothyroidism had serum levels of total cholesterol (4.88 ± 0.74 mmol/L), HDL cholesterol (1.37 ± 0.34 mmol/L), LDL cholesterol (2.94 ± 0.58 mmol/L), and triglycerides (1.05 [0.88-1.41] mmol/L) that did not significantly differ from those found in euthyroid patients (4.79 ± 0.83, 1.33 ± 0.36, 2.87 ± 0.76, and 1.11 [0.81-1.43] mmol/L, respectively). Multiple regression analysis showed no association between TSH and serum lipid levels.
CONCLUSIONS: These results suggest that, in our population, there are no significant differences in serum cholesterol and triglyceride levels between diabetic patients with normal and reduced thyroid function.

We performed a descriptive cross-sectional epidemiological study data on lipid profile and blood glucose of sample collected in 2021 consecutive and anonymous patients. We calculated the prevalence of atherogenic dyslipidemia by sex, according to several cutoff HDL cholesterol in women, and in the whole sample, and its association with diabetes. There is in the study selection bias, as it is performed in patients attending in a Primary Care Laboratory and not in a sample of the general population. Prevalence epidemiological data are therefore approximate and provisional.