scholarly journals The role of plasma triglyceride/high-density lipoprotein cholesterol ratio to predict cardiovascular outcomes in chronic kidney disease

2015 ◽  
Vol 14 (1) ◽  
Author(s):  
Alper Sonmez ◽  
Mahmut Ilker Yilmaz ◽  
Mutlu Saglam ◽  
Hilmi Umut Unal ◽  
Mahmut Gok ◽  
...  
2019 ◽  
Author(s):  
Li Wang ◽  
Fangfang Xiang ◽  
Jun Ji ◽  
Jianzhou Zou ◽  
Yunqin Chen ◽  
...  

Abstract Background: High indoxyl sulfate (IS) levels and low high-density lipoprotein cholesterol (HDL-c) levels are both risk factors of cardiovascular diseases (CVD) in chronic kidney disease (CKD) patients, the connection between which has not been clearly clarified. This study aimed to explore the relationship between IS and HDL-c levels in early stages of CKD population. Methods: Patients of CKD stage 1-3 were enrolled in this cross-sectional study. Correlations between HDL-c and IS were investigated among various clinicopathological variables.Results: A total of 205 CKD patients (96 men) with a mean age of 43.3 years old were included in this research. There were 96 patients (46 men) in CKD stage1 and 109 (50 men) in CKD stage 2 or stage 3. IS levels were significantly higher in CKD 2+3 group (1.50±1.74μg/ml vs 0.94±0.66μg/ml, p=0.007), while HCL-c levels were lower (1.19±0.39mmol/L vs 1.33±0.45 mmol/L, p=0.017) compared to CKD 1 group. Among all the patients, a negative correlation was observed between IS and HDL-c levels (r=-0.244, p=0.001). IS level was an independent risk factor for low HDL-c (<1.04mmol/L) incidence even after controlling for potential confounders (OR=1.63, 95% CI: 1.11-2.39, p=0.013). IS and HDL-c were both risk factors for predicting CKD stage 3. Conclusions: Metabolic disorder of HDL-c occurs in early CKD stages, probably attributed by increased IS level. Early management of dyslipidemia and uremic toxin retention is important for delaying disease progression and preventing cardiovascular events. Keywords: Indoxyl sulfate, High-density lipoprotein cholesterol, Chronic kidney disease, Cardiovascular disease, Lipids


2020 ◽  
Vol 7 (3) ◽  
pp. 28
Author(s):  
Vaia D. Raikou ◽  
Despina Kyriaki ◽  
Sotiris Gavriil

Background: The triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio has been included in the potential indices for atherosclerosis in chronic kidney disease (CKD). In this study, we addressed the role of the TG/HDL-C ratio on CKD prediction defined by both classified estimated glomerular filtration rate (eGFR) and classified urinary albumin-to-creatinine ratio (UACR) in non-diabetic participants. Methods: One hundred and eighty-three subjects with a mean age 67.3 ± 15.6 years old were included. Our participants were classified in both eGFR and UACR categories according to the Kidney Disease Improving Global Outcomes 2012 criteria. Estimated pulse wave velocity (ePWV) was calculated using an equation from age and mean blood pressure. The TG/HDL-C ratio was calculated. X2 tests and adjusted models were applied using confounders. Results: The TG/HDL-C ratio was inversely associated with eGFR and positively with both UACR and ePWV. We divided our patients in two groups according to the found ROC curve of the TG/HDL-C ratio cut-off point, either with an eGFR of less or more than 60 mL/min/1.73 m2. X2 tests showed significant association between the high TG/HDL-C ratio and classified eGFR, and classified UACR and hypertension (x2 = 24.5, p = 0.001, x2 = 12.5, p = 0.002 and x2 = 12.6, p = 0.001, respectively). The adjusted model showed the high TG/HDL-C ratio to be an independent predictor for both a low eGFR and UACR (OR = 1.5, 1.2–1.9 and OR = 1.22, 1.02–1.47, respectively) in combination with old age and hypertension. Conclusion: The TG/HDL-C ratio was revealed to be a potential predictor for both a low eGFR and micro/macroalbuminuria in non-diabetic patients. The arterial stiffening was included in the main underlying pathophysiological mechanisms.


2017 ◽  
Vol 27 (3) ◽  
pp. 27369
Author(s):  
Luciana Leitão Moraes ◽  
Alinne Lorrany Gomes Dos Santos ◽  
Luciana Pereira Pinto Dias ◽  
Dyanara De Almeida Oliveira ◽  
Denise Mafra ◽  
...  

***Identification of cardiovascular risk by triglyceride/HDL- cholesterol ratio in patients with chronic renal disease in hemodialysis***AIMS: To identify cardiovascular risk by triglyceride/high density lipoprotein cholesterol ratio (TG/HDL-c) and to verify its association with socio-demographic factors, clinical parameters and body mass index in patients with chronic renal disease on hemodialysis.METHODS: Cross-sectional study, in which patients with chronic kidney disease in hemodialysis were evaluated. A non-probability convenience sampling was used. Sociodemographic data were collected through a semi-structured questionnaire interview, and clinical and laboratory data were obtained from the medical records. For the identification of cardiovascular risk, the TG/HDL-c ratio was calculated from plasma triglycerides (mg/dL) and high density lipoprotein cholesterol (mg/dL). The cut-off point for TG/HDL-c considered to be indicative of cardiovascular risk was ≥3.8 mg/dL. For statistical analysis, the chi-square test was used, and the significance level was set at 5% (p <0.05).RESULTS: A total of 71 patients were evaluated, with a mean age of 49.9±13.2 years, being 28 women (50.1±13.2 years) and 43 men (49.7±13.2 years). Among the 71 patients, 31 (43.66%) had cardiovascular risk characterized by the TG/HDL-c ratio ≥3.8 mg/dL. In general, the profile of patients with and without cardiovascular risk was similar. However, in patients with cardiovascular risk there was a higher proportion of males (77.42%), while in those who did not have this risk, the female gender was more frequent (52.50%). This variable showed a significant difference between the groups with and without cardiovascular risk (p=0.011).CONCLUSIONS: In this sample of patients with chronic kidney disease on hemodialysis, the TG/HDL-c ratio identified a high cardiovascular risk index, which was significantly associated with males.


2018 ◽  
Vol 12 (4) ◽  
pp. 1061-1071.e7 ◽  
Author(s):  
Sankar D. Navaneethan ◽  
Jesse D. Schold ◽  
Carl P. Walther ◽  
Susana Arrigain ◽  
Stacey E. Jolly ◽  
...  

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