International Journal of Clinical Biochemistry and Research

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International Journal of Clinical Biochemistry and Research (IJCBR) open access, peer-reviewed quarterly journal publishing since 2014 and is published under auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award more...

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Get Permission Bawakhan, Chandru, and Moger: A study of lipid profile in maintenance hemodialysis patients


Introduction

Globally, Chronic Kidney Disease (CKD) is the 12th cause of death and 17th cause of disability1 with more than 90% disease burden, because of rapidly increasing worldwide incidence of diabetes2 and hypertension.3, 4 CKD is a pathophysiological process lasting for more than 3 months with progressive and irreversible deterioration of renal function. Diabetic glomerular disease is the major cause of CKD (31.2%) in India.5 As per clinical guidelines of National Kidney Foundation (NFK/KDOQI), ESRD represents 5th stage of CKD with GFR less than 15 mL/min/1.73m2 resulting in uremic syndrome and death. This requires Hemodialysis (HD) to reduce its morbidity and mortality5 and Maintenance hemodialysis (MHD) is maintaining the dose prescription of frequency three times per week.

With increasing prevalence of CKD, its importance and risk factors and CKD related cardiovascular diseases need to be considered. Hence, lipid profile was studied in maintenance hemodialysis subjects.

Aim & Objective

To estimate and analyze serum lipid levels in the ESRD patient undergoing hemodialysis.

Materials and Methods

An observational study was carried out for a period of one year (July 2014-June 2015). The study group consists of 100 patients diagnosed as ESRD on MHD of age group 18-70 years of both sex from Nephrology unit. Hundred cases were taken as a convenient sample size since the exact prevalence of the disease is unknown.

ESRD patients on maintenance hemodialysis for > 6months and HD minimum 2-3 times per week were analyzed. We excluded ESRD patients not receiving their prescribed dialysis dose, showed persistent non-compliance with their dialysis therapy and diagnosed cases with hepatic diseases.

Ethical clearance was obtained from the ethical committee. After detailed history and informed consent, about 2-3 ml of blood was drawn from the ESRD patients before and after hemodialysis in the same session. Serum was separated and used for analysis of lipid profile, creatinine and urea. Urea was estimated by GLDH-Urease method, serum creatinine by Jaffe’s method, total cholesterol by CHOD-PAP method, triglyceride by GPO-Trinder method, HDL by precipitation enzymatic method and LDL cholesterol by Friedewald’s formula.6, 7

Results were expressed as mean ± standard deviation (SD). Statistical analysis was done using IBM SPSS software version 19. The probability value (P value) of less than 0.05 was considered statistically significant.

Results

Age distribution of Hemodialysis patients studied were 66% of more than 40yrs and 34% of less than 40 yrs. Males were 68% and female 32%.

Figure 1

Causes of end stage renal disease

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Table 1

Descriptive statistics of study subjects

Parameters (mg/dl) Pre dialysis (µ±SD) Post dialysis (µ±SD)
Urea 110.51±37.58 41.50±19.98
Creatinine 8.28±2.45 3.69±1.75
Total cholesterol 131.93±49.75 130.62±42.29
Triglyceride 107.53±52.36 110.22±48.84
HDL-C 28.93±10.06 29.43±8.81
LDL-C 82.23±42.89 79.18±38.59
Table 2

Distribution of serum lipid levels among ESRD patients on MHD

Parameters (mg/dl) Pre dialysis cases, n=100 Post dialysis cases, n=100
Total cholesterol < 200 93 96
>200 07 04
Triacylglyceride <150 80 84
>150 20 16
HDL-C <35 79 79
35 - 60 18 21
>60 03 0
LDL-C < 100 70 75
100-129 16 15
≥ 130 14 10
Table 3

Student’s paired sample test with mean ± SD and significance

Parameters Mean ± SD P value
Urea (mg/dl) 69.01±30.60 0.000*
Creatinine (mg/dl) 4.58±2.25 0.000*
Total cholesterol (mg/dl) 1.31±14.34 0.363
Triglyceride (mg/dl) 2.69±13.41 0.047ǂ
HDL-C (mg/dl) 0.50±2.20 0.025ǂ
LDL-C (mg/dl) 3.0±19.68 0.124

[i] Note: ǂ - significant ; * - very highly significant

Discussion

In this study we found 66% of study subjects of more than 40 years of age with mean value of 46.89±14.01 years. This is in accordance with studies on epidemiology of CKD which states that the incidence rate of ESRD is 2 to 3 folds higher in the 20-60 year age group than in the 61-74 year age group.8 Males were more (68%) and females were less (32%) with 2.1:1 ratio, which is in accordance to the data of Indian CKD registry.9 This gender difference can be attributed to the fact that females experience lower ESRD risk than males. Similar studies by R. Radha et al.,10 Dipika Baria et al11and Azar B et al.12 found average age of 48±13.8, 44.27±10.7 and 46.6±17 years with 1.3:1, 1.5:1 and 1.4:1 male female ratio respectively. In contrast to this, a study by Hasan Nasir Abbas et al.13 showed male female ratio 0.93:1 with mean age 51±15 yrs.

The cause for ESRD in the present study was hypertension per se (43%) followed by Diabetes per se (14%), cardiac disases (9%) and glomerulonephritis (7%). In a similar study by Hasan Nasir Abbas et al.13 the cause of kidney disease was hypertension in 57% followed by diabetes in 34% and glomerulonephritis in 12% of the patients. Hypertension exists in approximately 80-85% of CKD patients and as GFR decreases, the prevalence of hypertension increases. It is related to RAS activation, sympathetic nervous system stimulation and nitric oxide inhibition.14 But Vivekanand Jha15 in his study found Diabetic nephropathy as commonest cause (31.2%) in India followed by chronic glomerulonephritis (13.8%) and hypertension (12.8%). Thiane Gama Axelsson et al.16 in their study found 35% CVD patients followed by 30% diabetes.

Mean blood urea (mg/dl) in the present study was 110.5±37.5 and 41.5±19.9, serum creatinine (mg/dl) was 8.28±2.45 and 3.69±1.75 in pre and post dialysis respectively. A very significant changes noted in serum creatinine and blood urea after dialysis at P value 0.000.

Serum lipid levels were estimated as nutritional marker. ESRD patients are at higher risk and it is expected to have serum lipids as per National Cholesterol Educational Program ATP III guidelines. Accordingly, Total cholesterol (TC), TAG, HDL-C and LDL-C are low in maximum study subjects with no significant difference in TC and LDL-C levels after dialysis. Hypocholesterolemia is believed to be due to inflammation. It is a marker of poor nutritional status and a strong mortality risk factor in dialysis patients.17 A study by R. Radha and Girija K.10 found mean value of TC (135.23±21.8), TAG (110.32±51.4), HDL-C (30.02±4.3) and LDL-C (83.86±18.6) which is similar to our study. Studies by Azar B et al.,12 Hasan Nasir Abbas et al13 and K. Kalantar Zadeh et al.18 showed similar results. But a study by Dipika B et al.11 found mean TC 172.3±40.7, TAG 243.67±36.07, and LDL 102.8±21.53 mg/dl. Similarly Hsun Yang et al.19 in their study noticed mean TC levels 169.1±36.68 mg/dl and TG 153.57±105.13 mg/dl.

Markers of over nutrition are associated with increased risk of cardiovascular disease but decrease nutritional measures in dialysis patients are strongly correlated with increased morbidity/mortality, including a higher risk of cardiovascular events and death. These paradoxical observations have been referred to as “reverse epidemiology” or “risk factor–paradox”. This may indicate progressive vascular pathophysiology in the ESRD patients or may denote other superimposed and more dominant factors that cause apparent reversed relationship between risk factors and outcome.20 It has been suggested that this paradoxical association is spurious and results from either reversed causation in which CVD leads to inflammation and/or malnutrition and lower cholesterol levels or a confounding effect of inflammation and/or malnutrition, which leads to lower cholesterol levels and higher mortality.21

Chronic renal failure per se, primarily affects the metabolism of HDL-C and triacylglyceride rich lipoproteins.22 There is enhanced VLDL production in liver and dysfunction of triacylglyceride degradation resulting from insufficient mitochondrial beta-oxidation of fatty acids. It may be due to deficit of L-carnitine, which absence is frequently found especially in HD patients.23 Hyperinsulinemia is the main factor increasing the synthesis of TAG and also directly decreasing the activity of liver lipoprotein lipase. These lead to changes in TAG and HDL-C levels.11 Unlike this, maximum patients may have normal mean TAG levels and LDL-C levels but the cholesterol may originate from the atherogenic small and dense LDL subclass. The apolipoprotein B-containing part of the lipoprotein may undergo modifications leading to impaired LDL receptor-mediated clearance from plasma and promote circulation of LDL. Also HDL-C particles become structurally altered due to inflammation.24

Conclusion

ESRD patients being at higher risk of mortality are on treatment and we have observed maximum patients with normal to low serum lipid levels. This observation is in accordance with reverse epidemiology. It may be due to superimposed factors like inflammation and/or malnutrition that lead to lower cholesterol levels. In addition, chronic renal failure per se, primarily affects the metabolism of HDL-C and triacylglyceride rich lipoproteins. Despite conflicting reports, hypercholesterolemia paradoxically appears to be associated with a more favorable outcome in ESRD patients.

Source of Funding

None.

Conflict of Interest

None.

References

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Ilangovan Veerappan Georgi Abraham Chronic Kidney Disease: Current Status, Challenges and Management in IndiaMed Update20131305937

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M B Joanne Karl Skorecki Anthony S. Fauci Dennis L. Kasper Eugene Braunwald Stephen L. Hauser Dan L. Longo J. Larry Jameson Chronic Kidney DiseaseHarrison’s Principles of Internal Medicine18th editionMcGraw HillNew York2012230821

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Alan H Gowenlock Janet R Mcmurray M Donald Mclauchlan Varley’s Practical Clinical Biochemistry6th editionCBS PublishersNew Delhi198875089

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T R Alan R Nader G Warnick C Burtis E Ashwood D Bruns Lipids, lipoproteins, apolipoproteins and other cardiovascular risk factorsTietz Textbook of clinical chemistry and molecular diagnostics5th editionElsevier publishersNew Delhi2012731805

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R Radha K Girija Eating Disorders in Hemodialysis PatientsInt J Food Nutr2013231203

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Dipika Baria Varsha Joshi Tejas Shah Kapil Gandha Nikunj Modi Imapct of Hemodialysis on lipid profile among chronic renal failure patients- A case control studyInt J Sci Res Publication20133713

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Azar Baradaran Hamid Nasri Association of Serum C-Reactive Protein (CRP) with Some Nutritional Parameters of Maintenance Hemodialysis PatientsPak J Nutr200543175821680-5194Science Alert

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Hassan Nasir Abbas Malik Anas Rabbani Biochemical nutritional parameters and their impact on HD efficiencySaudi J Kidney Dis Transpl200920611059

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Ayca Inci Seyhun Kursat Dilek Aslan Kutsal, Cevval Ulman and Veysel Yavuz. Hypervolemia-malnutrition in renal failure:Is there a relationship?Clin Nephrol Urol Sci20152118

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Vivekanand Jha Current status of end-stage renal disease care in India and PakistanKidney Int Suppl201332157602157-1716Elsevier BV

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Thiane Gama-Axelsson Olof Heimbürger Peter Stenvinkel Peter Bárány Bengt Lindholm Abdul Rashid Qureshi Serum Albumin as Predictor of Nutritional Status in Patients with ESRDClin J Am Soc Nephrol2012791446531555-9041, 1555-905XAmerican Society of Nephrology (ASN)

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Y Liu J Coresh J A Eustace Association between cholesterol level and mortality in dialysis patients, role of inflammation and malnutritionJAMA200429144519

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K. Kalantar-Zadeh J. D. Kopple M. H. Humphreys G. Block Comparing outcome predictability of markers of malnutrition-inflammation complex syndrome in haemodialysis patientsNephrol Dial Transplant20041961507190931-0509, 1460-2385Oxford University Press (OUP)

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Hsun Yang Chun-Wu Tung Chen-Chou Lei Yung-Chien Hsu Pei-Hsien Lee Hung-Yu Chang Dialyzer Membrane Characteristics as an Independent Predictor of Clinical Outcomes in Hemodialysis PatientsActa Nephrol201125310512

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Kamyar Kalantar-Zadeh Gladys Block Michael H. Humphreys Joel D. Kopple Reverse epidemiology of cardiovascular risk factors in maintenance dialysis patientsKidney Int20036337938080085-2538Elsevier BV

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Colin Baigent David C. Wheeler Should we reduce blood cholesterol to prevent cardiovascular disease among patients with chronic renal failure?Nephrol Dial Transplant2000158111890931-0509, 1460-2385Oxford University Press (OUP)

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Nosratola D. VAZIRI Hamid MORADI Mechanisms of dyslipidemia of chronic renal failureHemodialysis Int2006101171492-7535, 1542-4758Wiley

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Kamyar Kalantar-Zadeh T.Alp Ikizler Gladys Block Morrel M. Avram Joel D. Kopple Malnutrition-inflammation complex syndrome in dialysis patients: causes and consequencesAm J Kidney Dis2003425864810272-6386Elsevier BV



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Article type

Original Article


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172-175


Authors Details

Bibifatima H Bawakhan, M C Chandru, Venkatesh Moger


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