scholarly journals Haptoglobin Genotype and Risk Markers of Cardiovascular Disease in Patients with Chronic Kidney Disease

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Charlotte Strandhave ◽  
My Svensson ◽  
Henrik Krarup ◽  
Jeppe Hagstrup Christensen

Sudden cardiac death and atherosclerosis have a major impact on cardiovascular mortality in chronic kidney disease (CKD). Inflammation with elevated high-sensitive C-reactive protein (hs-CRP) is involved in both sudden cardiac death and atherosclerosis, and decreased heart rate variability (HRV) is a predictor of both sudden cardiac death and atherosclerosis. Haptoglobin (Hp) is characterised by three genotypes (1-1, 2-1, and 2-2) with different antioxidant abilities. The aim was to examine whether HRV and hs-CRP were associated with Hp genotype in CKD patients. Fifty-six patients with CKD stage 2–5 were included. Hp genotype was determined by high-performance liquid chromatography. HRV was analysed from the 24 h Holter recordings. Hs-CRP was measured using an immunoturbidimetric assay. The results show that the HRV indices SDNN and SDANN were significantly lower in the Hp 2-2 patients (P=0.02and 0.04, resp.). In an adjusted linear regression model, Hp 2-2 was associated with both SDNN (P=0.005) and SDANN (P=0.01). Hs-CRP was higher in the Hp 2-2 patients (P=0.002). In an adjusted linear regression model, the association between Hp 2-2 and hs-CRP remained significant (P=0.003). In conclusion, a negative association was observed between Hp 2-2 and HRV, and Hp 2-2 was positively associated with hs-CRP in CKD patients.

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2453
Author(s):  
Ana M Pinto ◽  
Helen L MacLaughlin ◽  
Wendy L Hall

Low heart rate variability (HRV) is independently associated with increased risk of sudden cardiac death (SCD) and all cardiac death in haemodialysis patients. Long chain n-3 polyunsaturated fatty acids (LC n-3 PUFA) may exert anti-arrhythmic effects. This study aimed to investigate relationships between dialysis, sleep and 24 h HRV and LC n-3 PUFA status in patients who have recently commenced haemodialysis. A cross-sectional study was conducted in adults aged 40–80 with chronic kidney disease (CKD) stage 5 (n = 45, mean age 58, SD 9, 20 females and 25 males, 39% with type 2 diabetes). Pre-dialysis blood samples were taken to measure erythrocyte and plasma fatty acid composition (wt % fatty acids). Mean erythrocyte omega-3 index was not associated with HRV following adjustment for age, BMI and use of β-blocker medication. Higher ratios of erythrocyte eicosapentaenoic acid (EPA) to docosahexaenoic acid (DHA) were associated with lower 24 h vagally-mediated beat-to-beat HRV parameters. Higher plasma EPA and docosapentaenoic acid (DPAn-3) were also associated with lower sleep-time and 24 h beat-to-beat variability. In contrast, higher plasma EPA was significantly related to higher overall and longer phase components of 24 h HRV. Further investigation is required to investigate whether patients commencing haemodialysis may have compromised conversion of EPA to DHA, which may impair vagally-mediated regulation of cardiac autonomic function, increasing risk of SCD.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Qiuyan Huang ◽  
Junzhe Chen ◽  
Ying Tang ◽  
Yanchun Xu ◽  
Anping Xu

Abstract Background and Aims This article aims to detect the expression of urine angiotensinogen (uAGT) in patients with chronic kidney disease (CKD) and its correlation with clinical and renal pathology. Method Patients who diagnosed with CKD and undergoing renal biopsy for the first visit to Sun Yat-sen Memorial Hospital from March 1st ,2018 to October 1st, 2019 were enrolled. First morning urine samples from CKD patients before renal biopsy and healthy volunteers as controls were collected during the same period. These samples were tested for uAGT by ELISA. Linear regression analysis was used to explore the correlation between uAGT and clinical indicators as well as renal pathology in CKD patients. The receiver operating curve (ROC curve) was used to explore the diagnostic value of uAGT for CKD stage 3 or above and glomerular sclerosis ratio>50%. Results A total of 133 CKD patients with 59 (44.4%) in stage 1, 31 (23.3%) in CKD stage 2, 17 (12.8%) in stage 3, 17 (12.8%) in stage 4 and 9 (6.7%) in stage 5 were included in our study. At the same time, 20 healthy volunteers were included as control. uAGT levels of CKD patients were significantly higher than healthy controls(275.0 vs 774.2,P<0.001). Compared with CKD stage 1-2 patients, uAGT levels in patients with stage CKD 3 or above were significantly increased, and the difference was statistically significant (P<0.001) (Table 1). The result of multivariate linear regression analysis showed that uAGT levels in CKD patients were positively correlated with 24h urine protein (beta = 0.193, P = 0.012) and negatively correlated with eGFR (beta = -0.489, P<0.001) (Table 2). We also demonstrated that uAGT was positively correlated with the ratio of glomerular sclerosis(P = 0.003) (Table 3). Our results showed that the area under the curve (AUC)of uAGT for the diagnosis of renal function with CKD stage 3 or above was 0.789 (Figure 1) with the cut-off value was1959.9pg/ml. The sensitivity and specificity were 51.2% and 97.3% respectively, Furthermore, the positive predictive value (PPV) was 88.0% and negative predictive value (NPV) was 82.95%.The AUC of uAGT for the diagnosis of renal pathological glomerular sclerosis ratio>50% was 0.677 (Figure 2).The cut-off value of uAGT was 2131.8pg/ml.The sensitivity and specificity were 50% and 89.5% respectively. Meanwhile, the PPV was 41.67% and the NPV was 92.25%. Conclusion uAGT was significantly increased in CKD patients, which is closely related with the urinary protein, eGFR, and renal pathology.The specific cut-off value of uAGT can be used as a predictive indicator of advanced CKD stage and severe glomerular sclerosis.


2016 ◽  
Vol 36 (4) ◽  
pp. 404-409
Author(s):  
Francisco Caravaca ◽  
Edgar Chávez ◽  
Raúl Alvarado ◽  
Guadalupe García-Pino ◽  
Enrique Luna

2013 ◽  
Vol 25 (2) ◽  
pp. 222-231 ◽  
Author(s):  
DIMITRIOS POULIKAKOS ◽  
DEBASISH BANERJEE ◽  
MAREK MALIK

2020 ◽  
Vol 10 ◽  
Author(s):  
Márcio Galindo Kiuchi ◽  
Jan K. Ho ◽  
Janis Marc Nolde ◽  
Leslie Marisol Lugo Gavidia ◽  
Revathy Carnagarin ◽  
...  

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