JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Internal Medicine Section DOI : 10.7860/JCDR/2018/35033.11672
Year : 2018 | Month : Jun | Volume : 12 | Issue : 6 Full Version Page : OC15 - OC20

The Effect of Haemodialysis on Lipid Peroxidation and Lipid Atherogenic Risk Ratios as a Predictor of Cardiovascular Disease

Hanan Mahmoud Fayed1, Abdelkader Ahmed Hashim2

1 Department of Clinical and Chemical Pathology, Qena Faculty of Medicine, South Valley University, Qena, Egypt.
2 Department of Internal Medicine, Qena Faculty of Medicine, South Valley University, Qena, Egypt.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Hanan Mahmoud Fayed, Department of Clinical and Chemical Pathology, Qena Faculty of Medicine, South Valley University, Qena, Egypt. Mabber Elsahabab St, Qena, Egypt.
E-mail: hananfayed@yahoo.com
Abstract

Introduction

Cardiovascular risk factors are prevalent in Haemodialysis (HD) patients.

Aim

To assess the effect of HD on lipid peroxidation marker (Malondialdehyde (MDA)), lipid atherogenic ratios, and peripheral inflammatory markers in HD patients.

Materials and Methods

A cross-divtional case-control study was conducted on 60 patients on regular HD attending nephrology unit of Luxor general hospital between June 2016 and May 2017, (33 males/27 females) and 30 healthy controls (17 males/13 females) were enrolled. Blood samples were obtained for estimation of lipid profile, MDA, and complete blood counts. One-way analysis of variance (ANOVA) was used for comparisons between groups, receiver operator characteristic curve was performed to obtain the cut-off value of MDA, sensitivity, specificity, and area under the curve was used to discriminate between HD patients and controls. The correlation study was used to measure the relationship between variables. Logistic Regression (Odd’s Ratio) was performed for calculation of cardiac risk factors for heart attack in HD cases.

Results

HD patients had significantly low WBCs (p=0.010) and lymphocyte counts (p<0.00001); with insignificant difference between pre- and post-HD. HD-patients had significantly higher cholesterol (p=0.019), triglycerides, VLDL-c, MDA (p<0.00001) and non-HDL-c (p=0.002) all increased significantly post-HD. Inversely, HDL-c was significantly lower in HD-patients and decreased significantly in post-HD (p<0.00001). HD-patients had significantly higher indexes for (TC/HDL, LDL/HDL, VLDL/HDL, TG/HDL, Non-HDL/HDL) (p<0.00001), monocyte: HDL ratio (p=0.003) and Platelet: Lymphocyte Ratio (PLR) (p=0.042) all significantly increased post-HD. Inversely; HD-patients had significant lower LDL/VLDL (p<0.00001) and Lymphocyte: Monocyte Ratio (LMR) (p=0.0003) with insignificant difference between pre- and post-HD. However, Neutrophil: Lymphocyte Ratio (NLR) (p=0.095), monocyte count (p=0.626) showed insignificant difference. MDA was correlated with TG, VLDL, non-HDL/HDL, and TG/HDL; but multivariate regression analysis indicates inter-related variables and none was considered independent risk factor.

Conclusion

HD worsens oxidative stress caused by uraemia and accentuates lipid peroxidation and dyslipidemia present in HD patient. Lipid peroxidation and dyslipidemia are probable independent modifiable risk factor that contributes to high morbidity and mortality by promoting cardiovascular complications.

Keywords

Introduction

Cardiovascular Disease (CVD) is the leading cause of death in patients with Chronic Kidney Disease (CKD) [1]. CKD patients usually have multiple CVD risk factors like diabetes mellitus, hypertension, and dyslipidemia. These conditions are associated with Oxidative Stress (OS) that can initiate the inflammatory process and hasten renal injury progression [2].

Lipids, when reacted with free radicals, can undergo the highly damaging chain reaction of lipid peroxidation leading to direct and indirect effects [3]. MDA is a sensitive marker of lipid peroxidation; which is formed during oxidation process of polyunsaturated fatty acids by Reactive Oxygen Species (ROS) [4].

MDA concentration is the best marker for estimation of CV risk events in HD patients [5], and direct contact of blood with dialysis membrane during HD can produce inflammatory reactions and OS that results in the modification of lipoprotein particles and lipid oxidation products [6].

This study aimed to assess the effect of HD on lipid peroxidation and lipid atherogenic ratios as risk predicator’s of CVD in the heightened dyslipidemia state perceived in HD patients, and clarify possible associations with systemic inflammatory response markers and/or metabolic parameters.

Materials and Methods

This was a cross-sectional case-control study involving 60 End-Stage Renal Diseases (ESRD) patients on regular HD. These patients were attending the nephrology unit of Luxor general hospital-Upper Egypt, between June 2016 and May 2017. All HD patients received dialysis 3 times weekly, each for 4 hour, using convectional bicarbonate dialysate with polysulphone membrane dialyzers (Bio-140; Dialife SA, Taverne, Switzerland). All patients’ received medication: anti-hypertensive drugs (calcium antagonists, angiotensin converting enzyme inhibitors), phosphate binders (calcium carbonate), recombinant erythropoietin therapy by the subcutaneous route (average dose of 4000 U/week) together with parenteral iron and 22(36.67%) take iron only by intravenous infusion by the end of HD.

Thirty healthy volunteers (17 males & 13 females) aged (45.87±10.23 years), BMI (27.15±2.78 kg/m2); who were free from any kidney disease, having normal haematological, biochemical values, and did not receive any medication known to interfere with the studied variables were selected from medical staff in the hospital. They served as control. The study was approved by research ethics committee in Qena faculty of medicine in accordance with Declaration of Helsinki and all participants gave an informed consent.

Exclusion criteria

Patients age younger than 19 years or had pregnancy, malignancy, infections, recent febrile or infectious episodes, hospitalization during the past month or history of acute cardiovascular disease, HBV or HCV and HIV positivity, severe hyperparathyroidism, or who take any lipid-lowering medications or antioxidant supplements either medical or non-medical, or refuse to participate in the study.

The following characteristics were observed or calculated: age, gender, duration of dialysis, weight, height, and BMI. Other relevant dialysis data included the cause of renal failure, duration of dialysis, and presence of co-morbid factors (e.g., diabetes mellitus, hypertension etc.,), medication taken by the patient; blood pressure was measured using standard mercury sphygmomanometer. The average of two blood pressure readings, recorded at an interval of 5 minute, was used for analysis. Hypertension was defined as a systolic blood pressure of >130 mmHg, a diastolic blood pressure of >80 mmHg, or a history of treatment for hypertension.

Blood Samples

Five milliliter venous blood samples were taken twice from HD patients; pre-HD and post-HD on a midweek HD sessions. The pre-HD sample was drawn from arteriovenous fistulas at insertion of the arterial needle, before heparinization of the line and after an overnight fast before the patient was connected to the dialysis machine and the post-HD sample just prior to patient disconnection. The blood samples were taken once from the control subjects.

Blood samples were collected in EDTA (2 mL), and plain (3 mL) vacutainer tubes. EDTA tube was used for Complete Cell Count (CBC) using cell dyne-1800 (Abbott diagnostics, Santa Clara; California-USA). Plain tube blood was allowed to clot and then centrifuged at 3000 rpm for 10 minute and serum was separated for colorimetric assessment-blood chemistry {urea, creatinine, uric acid, albumin and lipid profile including: Total Cholesterol (TC), Triglycerides (TG), Low-Density Lipoprotein Cholesterol (LDL-C), And High-Density Lipoprotein Cholesterol (HDL-C)} (Cobas C311, Roche Diagnostics, Mannheim-Germany). The rest of serum was aliquoted into two 1 mL cryo tubes kept at -70°C until analysis of MDA.

Dyslipidemia was defined as a serum LDL-c level of >140 mg/dL, a HDL-c level of <40 mg/dL, a TG level of >150 mg/dL, or a history of treatment for dyslipidemia.

Malondialdehyde (MDA) Measurement

MDA was measured by quantitative colorimetric end point assay according to the manufacturer’s instructions provided by bio-diagnostic-Egypt, pharmaceutical industries (Cat No: 2528). Briefly, Thiobarbituric Acid (TBA) reacts with MDA in acidic medium at temperature of 95°C for 30 minute to form thiobarbituric acid reactive product, the absorbance of the pink product result was measured at 534 nm [7]. The detection limit of this assay was 1 nmol/mL; the intra- and inter-assay for CV were 1.82% and 4.01%, respectively. The serum concentration of MDA was expressed in nmol/mL. To avoid the possible dispersion of MDA serum level results, all the samples were processed at the same time, at the end of the recruitment process.

Calculations were Done For

Systemic inflammatory response markers: {Neutrophil: Lymphocyte Ratio (NLR), the Platelet: Lymphocyte Ratio (PLR), and the Lymphocyte: Monocyte Ratio (LMR)} as high NLR and PLR were related to adverse cardiac events and extent of atherosclerosis [8].

Monocyte: HDL-c ratio; its increase was associated with a worse cardiovascular profile and it was considered as independent predictors of major cardiovascular events [9].

Estimated Glomerular Filtration Rate (eGFR) using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) Equation [10].

LDL-c= TC–{(HDL-c)+(VLDL-c)}= TC–{HDL-c+(TG/5)} mg/dL [11].

Non-high-density lipoprotein cholesterol (Non-HDL-c) = TC- HDL-c= {accounts for LDL-c, VLDL and its remnants that reflects the increased risk of coronary heart disease}.

Atherogenic risk ratios: TC/HDL-c, LDL-c/HDL-c, VLDL/HDL-c, Non-HDL-c/HDL-c, TG/HDL-c, LDL-c/VLDL, the higher the value of this indices the greater the risk of developing CVD [12].

Statistical Analysis

It was performed using SPSS 20.0 (IBM SPSS statistics; USA). Data were expressed in mean and standard deviation (mean±SD), number and percentage. Depending on the distribution of variables, the comparisons between groups were performed using one-way analysis of variance (ANOVA). Pearson correlation coefficient was used to explore the relationship between quantitative variables.

ROC Curve was performed to obtain cut-off value of MDA, sensitivity, specificity and Area Under the Curve (AUC) was used to discriminate between HD patients and controls.

Univariate logistic regression analysis (Odd’s Ratio) was performed for calculation of cardiac risk factors for heart attack in HD cases. Factors which showed significant correlation in univariate regression analysis were included in multivariate regression analysis. All statistical tests were two tailed, and a p-value <0.05 was considered statistically significant.

Results

HD patient’s baseline demographic characteristics and clinical data are presented in [Table/Fig-1]. Comparison of laboratory data between HD cases and control are presented in [Table/Fig-2].

Demographic data of the HD groups.

ParameterAll Patient (No= 60)Males 33(55%)Females 27(45%)p-value
Age (years)50.6±12.850.9±12.950.2±12.90.831
Dialysis duration (Months)88.4±39.3990.91±41.8985.33±36.660.589
Systolic blood pressure144.33±18.54144.55±19.69144.07±17.380.922
Diastolic blood pressure88.5±12.0588.64±10.7788.33±13.660.924
BMI (kg/m2)24.45±3.14723.99±2.72325.02±3.5750.493
Cause of renal failure No (%)
Diabetes mellitus22(36.7%)11(33.33%)11(40.74%)
Hypertension14(23.3%)8(24.24%)6(22.22%)
Obstructive9(15%)5(15.15%)4(14.82%)
Congenital anomaly4(6.7%)3(9.09%)1(3.70%)
Unknown4(6.7%)2(6.06%)2(7.42%)
Polycystic kidney3(5%)2(6.06%)1(3.70%)
Pyelonephritis2(3.3%)2(6.06%)0
Rheumatoid arthritis1(1.7%)01(3.70%)
Systemic lupus erythematosus1(1.7%)01(3.70%)

BMI: Body Mass Index


Comparison of laboratory data between the two groups.

Parameter (Mean±SD)Patient No=60Controls No=30*p-values
Pre-HDPost-HD
Urea (mg/dL)92.8±26.652.95±15.0432.17±6.02<0.00001
Creatinine (mg/dL)4.84±2.192.32±1.021.00±0.23<0.00001
Uric acid (mg/dL)7.82±1.295.55±0.874.67±0.76<0.00001
Albumin (g/dL)3.7±0.044.19±0.514.67±0.50<0.00001
eGFR (mL/min/1.73m2)17.6±15.244.6±35.899.5±22.98<0.00001
Hb (g/dL)8.7±1.79.5±1.813.15±2.16<0.00001
MCV85.19±9.1686.48±8.9681.26±4.810.022
RDW %15.72±1.3515.72±1.3314.21±1.18<0.00001
Platelets ×109/L193.8±54.6207.9±55.0254.2±73.50.0001
MPV (fL)9.18±1.059.22±1.058.49±0.660.002
WBCs ×109/L6.22±2.336.54±2.447.83±2.360.010
WBCs: MPV528.4±258.4523.8±276.9502.9±380.50.924
# Neutrophil ×109/L4.3±1.854.57±1.945.12±2.230.184
# Lymph count ×109/L1.50±0.61.51±0.672.27±1.05<0.00001
# Monocyte count ×109/L429±227470±241445±2340.626
Monocyte/HDL12.94±9.1416.12±10.329.17±5.400.003
NLR3.17±1.583.47±1.782.65±1.650.095
PLR151.4±76.1168.2±91.1124±46.30.0424
LMR4.15±2.613.70±2.256.10±3.230.0003
TC (mg/dL)180.8±17.5188.3±18.2192.4±26.40.0195
LDL (mg/dL)107.9±17.4111.8±18.8113.4±28.60.4047
TG (mg/dL)186.7±24.4228.3±38.5138.2±26.1<0.00001
VLDL (mg/dL)37.34±4.8745.4±7.627.6±5.22<0.00001
HDL (mg/dL)35.56±6.0630.9±5.8950.38±8.68<0.00001
Non-HDL145.2±18.5157.3±20.0142.0±30.30.002
TC/HDL5.21±0.996.35±1.563.97±1.03<0.00001
LDL/HDL3.14±0.7993.8±1.22.38±0.92<0.00001
VLDL/HDL1.09±0.281.54±0.460.57±0.16<0.00001
TG/HDL5.45±1.397.76±2.322.84±0.78<0.00001
Non-HDL/HDL4.22±1.015.35±1.562.96±1.03<0.00001
LDL/VLDL2.92±0.572.53±0.614.17±1.05<0.00001
MDA (nmol/mL)3.01±0.734.27±0.851.64±0.58<0.00001

*one-way ANOVA; Hb: haemoglobin; RDW: red cell distribution width; WBCs: white blood cells; #: absolute; MPV: mean platelets volume; NLR: Neutrophil lymphocyte ratio; PLR: platelets lymphocyte ratio; LMR: lymphocyte monocyte ratio; TC:


HD-cases showed significant higher values concerning serum urea, creatinine and uric acid than controls that significantly decreased post-HD (p<0.00001). Inversely, serum albumin, Hb, eGFR, (p<0.00001) and platelets count (p=0.0001) were significantly lower than controls but increased significantly in post-HD. HD-cases showed significantly higher MDA than controls that increased significantly in post-HD (p<0.00001).

Compared to controls; HD-patients had significantly lower WBCs (p=0.010) and lymphocyte counts (p<0.00001) with insignificant difference between pre- and post-HD.

HD patients had: 1) significantly lower LMR (p=0.0003) with insignificant difference between pre- and post-HD (p=0.164); 2) significant higher PLR (p=0.0424) that increased significantly in post-HD than pre-HD; 3) significantly lower monocyte/HDL ratio (p=0.003) that significantly increased in post-HD than pre-HD. Yet; NLR (p=0.095) and absolute monocyte count (p=0.626) showed insignificant difference.

HD patients had significantly higher TG (p<0.00001) and non-HDL-c (p=0.002) that significantly increased in post-HD than pre-HD. While HDL-c was significantly lower in HD cases compared to the control group (p<0.00001) and significantly decreased post-HD than pre-HD.

The levels of TC and VLDL-c were within the reference values for studied groups. But Mann-Whitney U-test revealed significantly higher TC (p= 0.0195), VLDL-c (p<0.00001) in HD cases compared to the control group that significantly increased in post-HD than the pre-HD. Yet; LDL-c showed insignificant difference.

The indexes of TC/HDL, LDL/HDL, VLDL/HDL, TG/HDL, Non-HDL/ HDL were significantly higher in HD-cases compared to controls, and inversely LDL/VLDL was lower in HD-cases insignificant difference between pre-and post-HD (p<0.00001).

No significant differences between male and female HD-patients were found in all parameters (data not shown).

MDA in all subjects was positively correlated with TG, VLDL-c, non-HDL/HDL, and TG/HDL ratio. In addition; MDA in healthy subjects positively correlated with TC, LDL-c, Non-HDL-c, and LDL/HDL ratio. MDA in pre-HD and control groups positively correlated with TC/HDL ratio. Moreover; MDA in pre-HD group positively correlated with monocyte/HDL-c and negatively correlated with HDL-c [Table/Fig-3].

Pearson Correlation between MDA in HD-patients and control.

VariableMDA in control No= 30MDA in patients No= 60
Pre-HDPost-HD
rp-valuerp-valuerp-value
Duration of HD therapy---0.21460.101--
Age (years)0.2950.1140.1430.2500.1740.591
Systolic BP (mmHg)0.1770.352-0.0930.478-0.1100.403
Diastolic BP (mmHg)0.1780.3490.0080.9530.0710.590
BMI (kg/m2)0.1070.5740.1380.3570.1060.342
Hb (g/dL)0.2000.2900.0770.5600.0210.872
RDW %-0.1190.530-0.1230.348-0.0730.582
WBCs count ×109/L0.0450.8130.1380.2920.0880.504
Platelets ×109/L0.0320.867-0.1210.357-0.1360.300
NLR0.1040.5840.1230.3490.1030.433
PLR0.1180.535-0.0540.682-0.0260.844
LMR-0.1750.355-0.0670.611-0.0450.733
Monocyte/HDL-c0.33370.0710.26430.0410.0980.461
Urea (mg/dL)0.2320.219-0.0600.650-0.1440.272
S. Creatinine (mg/dL)0.1450.4430.1210.3570.1370.298
S. Uric acid (mg/dL)0.2640.176-0.1490.2560.0510.698
S. Albumin (g/dL)0.1710.3660.0650.6200.0570.668
eGFR (mL/min/1.73m2)-0.2620.162-0.0840.524-0.1830.162
TC (mg/dL)0.613<0.001*.1270.334-0.0570.667
LDL-c (mg/dL)0.5200.003*0.0320.808-0.1460.264
HDL-c mg/dL-0.1860.324-0.26230.043*-0.2350.070
Triglycerides (mg/dL)0.660<0.001*0.667<0.001*0.425<0.001*
VLDL (mg/dL)0.659<0.001*0.667<0.001*0.408<0.001*
Non-HDL0.584<0.001*0.2060.1140.0180.892
TC/HDL ratio0.4420.014*0.2840.028*0.1220.353
LDL/HDL ratio0.4030.027*0.0310.8150.0310.815
TG/HDL ratio0.562<0.001*0.512<0.001*0.3400.008*
Non-HDL/HDL ratio0.4420.014*0.2890.025*0.1220.354

Hb: haemoglobin; RDW: red cell distribution width; WBCs: white blood cells; #: absolute; MPV: mean platelets volume; NLR: Neutrophil lymphocyte ratio; PLR: platelets lymphocyte ratio; LMR: lymphocyte monocyte ratio; TC: total cholesterol; HDL-c: High density lipoprotein-cholesterol; LDL-c: Low density lipoprotein-cholesterol; VLDL-c: Very Low density lipoprotein-cholesterol; TG: Triglyceride; non-HDL-c: non-High density lipoprotein-cholesterol; eGFR: estimated glomerular filtration rate; MDA: Malondialdehyde.


ROC curve shows that the cut-off value of MDA is 2.47, with a sensitivity of 88.3% and a specificity of 90% and Area under the Curve (AUC) was 0.960. This cut off value was used in the following binary logistic regression analysis [Table/Fig-4,5 and Table/Fig-6].

Correlation between MDA and: a) VLDL-c; b) total cholesterol/HDL ratio; c) triglycerides; d) triglycerides/HDL ratio; e) non-HDL; f) non-HDL/HDL ratio.

MDA Receiver Operator Curve (ROC) charactrestics.

AreaStd. Errorp-valueAsymptotic 95% Confidence Interval
Lower BoundUpper Bound
0.9600.016<0.0010.9290.991

MDA ROC Curve analysis, specificity and sensitivity.

Percentage of normal and abnormal MDA level in control and HD patients groups according to the cut off value calculated from the ROC curve statistic [Table/Fig-7] .

Percentage of normal and abnormal MDA level in all groups according to the cut off value calculated from the ROC curve.

MDAGroupTotal
ControlPre-HDPost-HD
NormalNo (%)27(90%)14(23.3%)0(0.0%)41(27.3%)
AbnormalNo (%)3(10%)46(76.7%)60(100%)109(72.7%)
TotalNo (%)30(100%)60(100%)60(100%)150(100%)

Chi-square = 82.367, p-value <0.001


Multivariate regression analysis indicates inter-related variables and none were considered independent risk factor [Table/Fig-8].

Multivariate logistic regression analysis in HD patients demonstrating the relationship of MDA with other variables.

VariableOdd’s ratio (OR)95% CIp-value
LowerUpper
HDL-c (mg/dL)0.8510.6481.1180.247
Triglycerides (mg/dL)0.1600.00250.780.995
VLDL (mg/dL)0.1660.01923.800.995
Non-HDL (mg/dL)1.0570.6661.6790.813
LDL/HDL ratio0.011010320.916
TG/HDL ratio1.0040.9921.1050.994
VLDL/HDL ratio0.9870.6192.0290.994
LDL/VLDL ratio0.019048790.532
Non-HDL/HDL ratio11.087085.860.871

Discussion

In this study, serum urea, creatinine, uric acid showed significantly higher values in the pre-HD and post-HD groups compared to control group with a significant decrease in post-HD compared to pre-HD values. Inversely; Hb, albumin levels, and eGFR showed significantly lower values in the pre-HD and post-HD groups compared to control group with a significant increase in post-HD compared to pre-HD values.

In this study; HD-patients had normocytic normochromic anaemia with significantly lower Hb compared to controls that showed mild increase post-HD when compared to pre-HD, this was in line with other studies [13-16].

In this study; HD-patients had lower WBC count, absolute neutrophil, and lymphocyte counts compared to controls, this was in line with other studies [17-19] but in partial agreement with Suresh et al., who found insignificant decrease in WBC count [14].

In contrast, Alghythan & Alsaeed, Latiwesh et al., reported insignificant difference between WBC count in the pre-HD and the post-HD group compared to control [20,21], but Shittu et al., found that WBC count increases with the disease progression [15], while Ali et al., showed mild increase in WBC post-HD compared to pre-HD [22].

In this study, absolute lymphocyte counts decreased significantly in pre-and post HD when compared to controls but the insignificant difference between pre and post-HD group, this was in agreement with previous studies [14,23,24]. This was partially consistent with Pereira et al., who reported significantly lower absolute lymphocyte counts in the post-HD group compared to control and pre-HD groups [18].

In contrast; Alghythan and Alsaeed reported a significant increase in the leukocyte [20], lymphocyte and monocyte counts in post-HD when compared to the pre-HD count, this could be explained by the existence of hypervolaemia in pre-HD and the RBCs count and Hb level are lower and the increase in post-HD due to the release of RBCs from the splanchnic circulation to reward the hypovolaemic stress during HD [25].

In this study; platelets count were within normal limits but significantly decreased in pre-and post-HD when compared to controls with a significant increase in the post-HD group compared to pre-HD, this was in agreement with previous studies [20,22,26]. In contrast; few reports showed a significant decrease in platelets post-HD compared to pre-HD [27,28].

In this study, the NLR was insignificantly lower in pre-HD and post-HD compared to control and not correlated to lipid profile or uramic findings. In contrast; others found that NLR was significantly higher in HD patients than controls and that it was positively correlated with other inflammatory markers either interleukin-6 (IL-6) and/or high-sensitivity C-reactive protein (hs-CRP) but negatively correlated to Hb, albumin, and total cholesterol and they suggested that this may indicate that HD technique induces a state of inflammation [29,30].

This may be explained by the fact that in ~ 20% HD-patients; the exposure of blood to artificial membranes results in neutrophil activation followed by aggregation and adherence to endothelial surface and subsequent fall in WBC count [31].

In this study monocyte count showed an insignificant difference, though; monocyte/HDL was significantly higher in HD cases and significantly increased in post-HD than pre-HD and had a positive correlation with MDA in the pre-HD group. This was in line with Kanbay et al., who indicated that renal dysfunction was linked by a decline in serum HDL-c and rise of circulating monocyte count [9].

Our findings of elevated MDA levels in HD patients compared to controls with a significant increase in post-HD samples suggest that Chronic renal failure and HD increase the oxidative stress this was in agreement with the previous studies [6,32-36].

In this study, we found that the levels of TC, LDL, and VLDL were within normal limits with insignificant difference observed between cases and controls; this was in agreement with Tsimihodimos et al., [37]. In contrast, other authors found a significant increase in TC in HD cases when compared to controls [34,38,39].

In this study; TG and non-HDL-c were significantly higher in the HD group compared to the control group and were significantly higher in the post-HD than in the pre-HD as a result of haemoconcentration; this result in agreement with several studies [33,34,37,40,41].

In contrast, some reported a significant decrease of TG, TC, LDL, and HDL in post-HD cases compared to pre-HD [42]. Yamamoto et al., found insignificant differences in TG and HDL levels between patients with ESRD-HD and controls [43].

In the present study, HDL was significantly lower in HD patients than controls and it decreases significantly in post-HD compared to pre-HD, this was in accordance with [34,41,44,45].

In the present study, HD patients had significantly higher atherogenic lipid risk ratios {TC/HDL, LDL/HDL, and TG/HDL}. This was in line with previous studies [33,34,37,41,46]. Kim et al., specified that TG/HDL ratio was correlated to insulin resistance and that it is significantly associated with stage 3 CKD or more, among Koreans [46].

In this study; other lipid risk ratios as VLDL/HDL, non-HDL/HDL, and LDL/VLDL were significantly higher in HD patients.

Limitation

The major limitation of our present study is the limited study population and a single centre study besides cross-sectional design.

Conclusion

Cardiovascular risk factors such as anaemia, dyslipidemia, inflammation, OS, and hypertension are prevalent in HD patients. HD worsens OS, caused by uraemia and accentuates existing lipid peroxidation and dyslipidemia, all are probably independent modifiable risk factors that contribute to morbidity and mortality by promoting atherosclerosis and CVD.

Recommendations

Strategies focusing on the improvement of the haemocompatibility of the dialysis system and management of risk factors must be applied to improve outcome, therefore, lipid risk ratios and inflammatory markers may provide a tool for patients monitoring.

BMI: Body Mass Index*one-way ANOVA; Hb: haemoglobin; RDW: red cell distribution width; WBCs: white blood cells; #: absolute; MPV: mean platelets volume; NLR: Neutrophil lymphocyte ratio; PLR: platelets lymphocyte ratio; LMR: lymphocyte monocyte ratio; TC:Hb: haemoglobin; RDW: red cell distribution width; WBCs: white blood cells; #: absolute; MPV: mean platelets volume; NLR: Neutrophil lymphocyte ratio; PLR: platelets lymphocyte ratio; LMR: lymphocyte monocyte ratio; TC: total cholesterol; HDL-c: High density lipoprotein-cholesterol; LDL-c: Low density lipoprotein-cholesterol; VLDL-c: Very Low density lipoprotein-cholesterol; TG: Triglyceride; non-HDL-c: non-High density lipoprotein-cholesterol; eGFR: estimated glomerular filtration rate; MDA: Malondialdehyde.Chi-square = 82.367, p-value <0.001

References

[1]Kuo KL, Tarng DC, Oxidative stress in chronic kidney disease Adaptive Medicine 2010 2(2):87-94.  [Google Scholar]

[2]Modaresi A, Nafar M, Sahraei Z, Oxidative stress in chronic kidney disease Iran J Kidney Dis 2015 9(3):165-79.  [Google Scholar]

[3]Devasagayam TP, Tilak JC, Boloor KK, Sane KS, Ghaskadbi SS, Lele RD, Free radicals and antioxidants in human health: current status and future Prospects J Assoc Physicians India 2004 52:794-804.  [Google Scholar]

[4]Kemidi Ilaiah V, Chandrashekar KB, Prusty HN, Viswas J, Venkateswara Rao, Evaluation of oxidative stress markers in chronic renal failuire of south Indian population IRJP 2013 4(1):116-21.  [Google Scholar]

[5]Miller MA, Cappuccio FP, Cellular adhesion molecules and their relationship with measures of obesity and metabolic syndrome in a multiethnic population Int J Obes (Lond) 2006 30:1176-82.10.1038/sj.ijo.080326416520813  [Google Scholar]  [CrossRef]  [PubMed]

[6]Montazerifar F, Hashemi M, Karajibani M, Sanadgol H, Dikshit M, Evaluation of lipid peroxidation and erythrocyte glutathione peroxidase and superoxide dismutase in patients Saudi J Kidney Dis Transpl 2012 23(2):274-79.  [Google Scholar]

[7]Koracevic D, Koracevic G, Djordjevic V, Andrejevic S, Cosic V, Method for the measurement of antioxidant activity in human fluids J Clin Pathol 2001 54(1):356-61.10.1136/jcp.54.5.35611328833  [Google Scholar]  [CrossRef]  [PubMed]

[8]Cicek G, Acıkgoz SK, Bozbay M, Altay S, Uğur M, Uluganyan M, Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio combination can predict prognosis in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention Angiology 2015 66(5):441-47.10.1177/000331971453597024834932  [Google Scholar]  [CrossRef]  [PubMed]

[9]Kanbay M, Solak Y, Unal HU, Kurt YG, Gok M, Cetinkaya H, Monocyte count/HDL cholesterol ratio and cardio-vascular events in patients with chronic kidney disease Int Urol Nephrol 2014 46(8):1619-25.10.1007/s11255-014-0730-124853998  [Google Scholar]  [CrossRef]  [PubMed]

[10]Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate Ann Intern Med 2009 150(9):604-12.10.7326/0003-4819-150-9-200905050-0000619414839  [Google Scholar]  [CrossRef]  [PubMed]

[11]Friedewald WT, Levy RI, Fredrickson DS, Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge Clin Chem 1972 18:499-502.  [Google Scholar]

[12]Usoro CAO, Adikwuru CC, Usoro IN, Nsonwu AC, Lipid profile of postmenopausal women in Calabar, Nigeria Pak J Nutr 2006 5(1):79-82.10.3923/pjn.2006.79.82  [Google Scholar]  [CrossRef]

[13]Afshar R, Sanavi S, Salimi J, Ahmadzadeh M, Hematological profile of Chronic Kidney Disease (CKD) patients in Iran, in predialysis stages and after initiation of haemodialysis Saudi J Kidney Dis Transpl 2010 21(2):368  [Google Scholar]

[14]Suresh M, Mallikarjuna Reddy N, Sharan B, Singh M, Bandi HK, Shravya Keerthi G, Hematological changes in chronic renal failure IJSRP 2012 2(9):1-4.  [Google Scholar]

[15]Shittu AO, Chijioke A, Biliaminu SA, Makusidi AM, Sanni MA, Abdul-Rahman MB, Hematological profile of patients with chronic kidney disease in Nigeria JNRT 2013 5(1):2-10.  [Google Scholar]

[16]Almahdi MA, Emhemmed MB, Mariam MI, Nuzha TG, Prevalence of anaemia and its association with renal function in diabetic patients from south of Libya LJMR 2016 10(1):47-51.  [Google Scholar]

[17]Inagaki H, Kuroda M, Watanabe S, Hamazaki T, Changes in major blood components after adopting the supine position during haemodialysis Nephrol Dial Transplant 2001 16(4):798-802.10.1093/ndt/16.4.79811274277  [Google Scholar]  [CrossRef]  [PubMed]

[18]Pereira R, Costa E, Gonçalves M, Miranda V, do Sameiro Faria M, Quintanilha A, Neutrophil and monocyte activation in chronic kidney disease patients under hemodialysis and its relationship with resistance to recombinanthuman erythropoietin and to the hemodialysis procedure Hemodial Int 2010 14(3):295-301.10.1111/j.1542-4758.2010.00450.x20649681  [Google Scholar]  [CrossRef]  [PubMed]

[19]Bhattacharjee K, Das D, Rabha P, Kalwar AK, Kar G, Bhattacharjee P, A study on hematological profile in patients of chronic renal failure with special reference to serum iron profile JEBMH 2015 2(46):8212-19.10.18410/jebmh/2015/1107  [Google Scholar]  [CrossRef]

[20]Alghythan AK, Alsaeed AH, Hematological changes before and after hemodialysis Scientific Research and Essays 2012 7(4):490-97.10.5897/SRE11.1534  [Google Scholar]  [CrossRef]

[21]Latiwesh OB, Elwerfally HH, Sheriff DS, Younis MYG, Haematological changes in predialyzed and hemodialyzed chronic kidney disease patients in Libya IOSR-JDMS 2017 16(2):106-12.  [Google Scholar]

[22]Ali MMS, Babiker MA, Merghani LB, Ali FA, Abdulmajeed MH, Hematological changes post-hemo and peritoneal dialysis among renal failure patients in Sudan Saudi J Kidney Dis Transpl 2008 19(2):274-79.  [Google Scholar]

[23]Costa E, Lima M, Alves JM, Rocha S, Rocha-Pereira P, Castro E, Inflammation, T-cell phenotype, and inflammatory cytokines in chronic kidney disease patients under hemodialysis and its relationship to resistance to recombinant human erythropoietin therapy J Clin Immunol 2008 28(3):268-75.10.1007/s10875-007-9168-x18205031  [Google Scholar]  [CrossRef]  [PubMed]

[24]Aminzadeh Z, Parsa E, Relationship between age and peripheral white blood cellcount in patients with sepsis Int J PreMed 2011 2(4):238-42.  [Google Scholar]

[25]Dasselaar JJ, Hooge MNL, Pruim J, Nijnuis H, Wiersum A, Jong PE, Relative blood volume changes under estimated total blood volume changes during hemodialysis Clin J Am Soc Nephrol 2007 2:669-74.10.2215/CJN.0088020717699480  [Google Scholar]  [CrossRef]  [PubMed]

[26]Daugirdas JT, Bernardo AA, Hemodialysis effect on platelet count and function and hemodialysis-associated thrombocytopenia Kidney Int 2012 82(2):147-57.10.1038/ki.2012.13022592187  [Google Scholar]  [CrossRef]  [PubMed]

[27]Knudsen F, Dyerberg J, Platelets and antithrombin III in uraemia: The acute effect of haemodialysis Scand J Clin Lab Invest 1985 45(4):341-47.10.3109/003655185091610173160101  [Google Scholar]  [CrossRef]  [PubMed]

[28]Yenicerioglu Y, Sapak Sahin S, Capa G, Abadoglu O, Camsan T, Altan R, Effects of haemodialysis on pulmonary clearance of Tc-99m diethylene triamine pentaacetate (DTPA) Scand J Urol Nephrol 2000 34(2):126-30.10.1080/00365590075001675110903075  [Google Scholar]  [CrossRef]  [PubMed]

[29]Okyay GU, Inal S, Oneç K, Er RE, Paşaoğlu O, Paşaoğlu H, Neutrophil to lymphocyte ratio in evaluation of inflammation in patients with chronic kidney disease Ren Fail 2013 35(1):29-36.10.3109/0886022X.2012.73442923113674  [Google Scholar]  [CrossRef]  [PubMed]

[30]Neuen BL, Leather N, Greenwood AM, Gunnarsson R, Cho Y, Mantha ML, Neutrophil-lymphocyte ratio predicts cardiovascular and all-cause mortality in hemodialysis patients Ren Fail 2016 38(1):70-76.10.3109/0886022X.2015.110499026540580  [Google Scholar]  [CrossRef]  [PubMed]

[31]Walts RG, Neutropenia In: John P. Greer, John forester, John N. Lukens, GeorgeM. Rodgers, Frixos Paraskevas and Bertil Glader Wintrobe’s clinical hematology 2004 211th Edition(chapter 63)PhiladelphiaLippincott Williams:1784  [Google Scholar]

[32]Ozden M, Maral H, Akaydın D, Cetınalp P, Kalender B, Erythrocyte glutathione peroxidase activity, plasma malondialdehyde and erythrocyte glutathione levels in hemodialysis and CAPD patients Clin Biochem 2002 35(4):269-73.10.1016/S0009-9120(02)00307-7  [Google Scholar]  [CrossRef]

[33]Roehrs M, Valentini J, Paniz C, Moro A, Charão M, Bulcão R, The relationships between exogenous and endogenous antioxidants with the lipid profile and oxidative damage in hemodialysis patients BMC Nephrology 2011 12:5910.1186/1471-2369-12-5922029620  [Google Scholar]  [CrossRef]  [PubMed]

[34]Patel ML, Rekha S, Srivastava AN, Dyslipidemia and oxidative stress in maintenance hemodialysis patient-an emerging threat to patient IJSRP 2012 2(4):51-55.10.15373/22778179/MARCH2014/15  [Google Scholar]  [CrossRef]

[35]Nagane NS, Ganu JV, Jagtap PE, Study of oxidative stress in pre- and post-hemodialysis in chronic renal failure patients Biomedical Research 2013 24(4):498-502.  [Google Scholar]

[36]Ogunro PS, Olujombo FA, Ajala MO, Oshodi TT, The effect of a membrane dialyzer during hemodialysis on the antioxidant status and lipid peroxidation of patients with end-stage renal disease Saudi J Kidney Dis Transpl 2014 25(6):1186-93.10.4103/1319-2442.14425125394434  [Google Scholar]  [CrossRef]  [PubMed]

[37]Tsimihodimos V, Mitrogianni Z, Elisaf M, Dyslipidemia associated with chronic kidney disease Open Cardiovasc Med J 2011 5:41-48.10.2174/187419240110501004121643500  [Google Scholar]  [CrossRef]  [PubMed]

[38]Avram MM, Goldwasser P, Burrell DE, Antignani A, Fein PA, Mittman N, Theuremic dyslipidemia: a cross-sectional and longitudinal study Am J Kidney Dis 1992 20(4):324-35.10.1016/S0272-6386(12)70294-9  [Google Scholar]  [CrossRef]

[39]Attman PO, Alaupovic P, Tavella M, Gibson CK, Abnormal lipid and apolipoprotein composition of major lipoprotein density classes in patients with chronic renalfailure Nephrol Dial Transplant 1996 11:65-69.10.1093/oxfordjournals.ndt.a027068  [Google Scholar]  [CrossRef]

[40]Dautin G, Soltani Z, Ducloux D, Gautier T, de Barros JP, Gambert P, Hemodialysis reduces plasma apolipoprotein CI concentration making VLDL a better substrate for lipoprotein lipase Kidney Int 2007 72(7):871-78.10.1038/sj.ki.500244917667986  [Google Scholar]  [CrossRef]  [PubMed]

[41]Raju DSSK, Lalitha DL, Kiranmayi P, A study of lipid profile and lipid peroxidation in chronic kidney disease with special reference to hemodialysis J Clinic Res Bioeth 2013 4(1):100014310.4172/2155-9627.1000143  [Google Scholar]  [CrossRef]

[42]Ashwini AB, Khan ZH, Serum lipid profile in CKD patients on heamodialysis Biochemistry 2013 3(8):20-22.10.15373/2249555X/AUG2013/7  [Google Scholar]  [CrossRef]

[43]Yamamoto S, Yancey PG, Ikizler TA, Jerome WG, Kaseda R, Cox B, Dysfunctional high-density lipoprotein in patients on chronic hemodialysis J Am Col Cardiol 2012 60(23):2372-79.10.1016/j.jacc.2012.09.01323141484  [Google Scholar]  [CrossRef]  [PubMed]

[44]Montazerifar F, Hashemi M, Karajibani M, Dikshit M, Hemodialysis alters lipid profiles, total antioxidant capacity, and vitamins A, E, and C concentrations in humans J Med Food 2010 13(6):1490-93.10.1089/jmf.2010.107421091256  [Google Scholar]  [CrossRef]  [PubMed]

[45]Massy ZA, Khoa TN, Lacour B, Descamps-Latscha Man NK, Jungers P, Dyslipidemia and the progression of renal disease in chronic renal failure patients Nephrol Dial Transplant 1999 14:2392-97.10.1093/ndt/14.10.239210528663  [Google Scholar]  [CrossRef]  [PubMed]

[46]Kim J-Y, Kang H-T, Lee H-R, Lee Y-J, Shim J-Y, Comparison of lipid-related ratios for prediction of chronic kidney disease stage 3 or more in Korean adults J Korean Med Sci 2012 27(12):1524-29.10.3346/jkms.2012.27.12.152423255852  [Google Scholar]  [CrossRef]  [PubMed]