Dyslipidemia in chronic kidney disease excluding diabetic and nephrotic aetiology

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International Journal of Advances in Medicine Velayudham R et al. Int J Adv Med. 2017 Dec;4(6):1586-1590 http://www.ijmedicine.com pissn 2349-3925 eissn 2349-3933 Original Research Article DOI: http://dx.doi.org/10.18203/2349-3933.ijam20175172 Dyslipidemia in chronic kidney disease excluding diabetic and nephrotic aetiology Rajendran Velayudham*, Senthilkumar Sivasubramanian Institute of Internal Medicine, Madras Medical College, Chennai, Tamil Nadu, India Received: 01 November 2017 Accepted: 11 November 2017 *Correspondence: Dr. Rajendran Velayudham, E-mail: rsvr2003@hotmail.com Copyright: the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Background: Dyslipidemia is hypothesized as one of the risk factor of chronic kidney disease and plays an important role in the progression of renal failure. The present study was conducted to assess the association between ratio of TG/HDL-C and CKD and other abnormalities in the lipid profile in CKD patients. Methods: This case-control study was conducted in Government General Hospital from July 2013 to November 2013. 100 patients with CKD were included as study cases. 100 healthy patients from the same hospital, who came with different illness other than the study disease were included as controls. Fasting lipid profile was done total cholesterol, triglycerides and high-density lipoproteins (HDL) were measured and low-density lipoproteins, & TG/HDL ratio were calculated. Comparison of lipid parameters among study and control groups was done. P value <0.05 was considered as statistically significant. Results: Majority of the study patients were under the age group of 40-50 years. Male dominance (86%) was seen in the study group. The association of HDL, LDL, TGL, TGL/HDL, TC parameters and stages of CKD was observed and found to be statistically significant (p value <0.0001 and <0.05). Comparison of lipid parameters among study and control groups were done and difference was found to be statistically significant (p value <0.0001). Conclusions: Dyslipidemia should be treated in early stages of CKD to prevent secondary complications. Keywords: Cardiovascular disease, Chronic Kidney disease, Lipid abnormalities INTRODUCTION Chronic kidney disease (CKD) is defined as decline in renal function attributed to changes either in the structure of kidney or its function as evident by imaging or biochemistry respectively, in a person for more than 90 days duration with its implications for health. 1 In CKD, not only there is decline in excretory function, as the disease process affects the kidney as a whole which is evident by decline in other functions like endocrine functions (decreased erythropoietin production), metabolic functions (acid base balance). According to WHO, CKD is one among the major causes leading to mortality (12 th major cause) and morbidity (17 th major cause). 2 Detection of new cases of stage 5 CKD is increasing at a rate of 8% per year. 3 Hypertension and diabetes are the major forerunners of CKD. India is one of the leading nations in terms of prevalence of diabetes and hypertension. So naturally ESRD burden will be increasing at an alarming pace. In 2030, India will have a prevalence of 79.4million cases. 4 One of the leading cause for death in stage 5 CKD patients is secondary cardio vascular problems associated with natural history of disease process. Relative risk of CVD in patients with CKD ranges between 10-200. This implies the chance of developing cardiovascular event is International Journal of Advances in Medicine November-December 2017 Vol 4 Issue 6 Page 1586

10 to 200 times higher in CKD patients when compared to the control group of same age and sex. The most common dyslipidemia seen in CKD patients are elevated triglycerides (TGL) and low high density lipoproteins (HDL). This change seen in CKD patients highly favours and accelerates the process of atherosclerosis. 5 Dyslipidemia is a marker of disease progression per se regardless of the cause and contributes to high risk of cardiovascular disease (CVD). 6,7 Increased levels of lipoprotein (a) are also common in CKD. 8 In CKD there is progressive increase in levels of TGL and decrease in HDL levels. The TG/HDL-C ratio is a far better indicator of insulin resistance and adverse cardiovascular events than the other lipid parameters including low density lipoproteins (LDL)-C, TG or the ratio of total cholesterol (TC) to HDL-C. Further, the ratio of TG/HDL-C correlates very well with concentration of small, dense LDL-C particles, which are more prone to oxidization and are highly atherogenic. Thus, it is conceivable that elevated TG/HDL-C ratio may also indicate the progression and development of CKD, since similar pathogenic mechanisms are involved in both atherosclerosis and glomerulosclerosis. This case-control was conducted to assess the association between ratio of TG/HDL-C and CKD and other abnormalities in the lipid profile in CKD patients. METHODS This was a case control study conducted in Government General Hospital from July 2013 to November 2013. Study population includes 100 patients with chronic kidney disease (CKD). Controls include age & sex matched 100 normal healthy controls from the same hospital, who came with different illness other than the study disease. Selection criteria for cases Inclusion criteria CKD patients in stage III-V, irrespective of aetiology except nephrotic proteinuria and diabetes mellitus on conservative management were included in the study. Exclusion criteria for both cases and controls Patients who are obese, with diabetes mellitus, those on beta-blockers and oral contraceptive pills, pregnant patients, renal transplant patients, patients on dialysis, patients with nephrotic proteinuria were excluded from the study. In the proforma, detailed history regarding the presenting symptoms like fatigue, weakness, pruritis, anorexia, nausea, vomiting, nocturia, polyuria, oliguria, insomnia, oedema, difficulty in breathing, etc., was noted. Past history and history of dialysis was obtained. General examination including pallor, pulse rate, blood pressure, height and weight were noted, and BMI calculated. Cardiovascular system, respiratory system, per abdomen examination and central nervous system examination including fundus examination was done. The following laboratory investigations were done; haemoglobin (g/dl), blood sugar fasting & post prandial (mg/dl), urea (mg/dl), creatinine (mg/dl), electrolytes sodium, potassium, chloride and bicarbonate (meq/l). Creatinine clearance was calculated. Ultrasonography of the abdomen was done to measure the kidney size. Fasting lipid profile was done, total cholesterol, triglycerides and high-density lipoproteins (HDL) were measured and low-density lipoproteins, and TG/HDL ratio were calculated. Electrocardiogram, urine analysis and spot urine protein creatinine ratio were also done. Statistical analysis All the data collected were analysed using SPSS (Statistical Package for the Social Science) system. For analysing statistical significance in study group, inferential statistics was employed. Test used is chisquare test. For analysing statistical significance of study group in comparison to control group, descriptive statistics was used. Test employed is Unpaired t test/ independent t test. P value of <0.05 was considered significant. RESULTS In our study group of 100 patients, clustering of cases was observed between the age group 30-50 years (60%). Of this, 40-50 years had maximum percentage (33%) in our study population. Association between age group and stage of CKD was statistically significant (p= 0.004). Males are more affected (86%) than females (14%). It appears as if there was a considerable gender prevalence among CKD patients. But the association between gender and prevalence of CKD was statistically not significant (p value =0.977) as shown in Table 1. Table 1: Age distribution versus stages of CKD. Age group Stages of CKD (yrs) 3 4 5 Total <30 3 2 5 10 30-40 12 7 8 27 40-50 11 17 5 33 50-60 2 13 7 22 >60 0 2 6 8 Sex Male 24 35 27 86 Female 4 6 4 14 Figure 1 shows the distribution of different stages of CKD among males and females. Even though the majority of patients in our study group belonged to the International Journal of Advances in Medicine November-December 2017 Vol 4 Issue 6 Page 1587

male sex, but no difference in gross variability was observed. 100% 80% 60% 40% 20% 0% 31.40% 28.57% 40.70% 42.86% 27.90% 28.57% males Figure 1: Distribution of different stages of CKD among males and females. Table 2: Distribution of abnormal lipid parameters among study groups. Parameters Stages of CKD 3 4 5 Total LDL (mg/dl) <100 17 11 5 33 100-129 2 0 0 2 130-159 9 0 0 9 >159 0 30 26 56 TGL (mg/dl) <150 19 11 5 35 150-199 9 30 12 51 >200 0 0 14 14 TC (mg/dl) <200 19 11 5 35 200-240 9 10 0 19 >240 0 20 26 46 HDL (mg/dl) >40 19 11 5 35 <40 9 30 26 65 TGL/HDL ratio <2.00 17 11 5 33 2-3.5 2 0 0 2 3.5-5 9 11 0 20 >5 0 19 26 45 Lipid profile Normal 19 11 5 35 Abnormal 9 30 26 65 females stage 3 CKD stage 4 CKD stage 5 CKD P value <0.05 Table 2 presents the distribution of LDL, TG, TC, HDL and lipid profile among study groups. 33 % of patients had normal values of LDL. About 56 % had abnormally high values of LDL >159 mg/dl. 65% of patients had TGL levels more than 150 mg/dl. Of this, 14 cases had TGL values more than 200 mg/dl, interestingly all those were stage 5 CKD patients. 65 Patients out of 100 had abnormal levels of total cholesterol more than 200 mg/dl. Levels more than 240 mg/dl was seen in stages 4 and 5 of CKD (n-46). Decreased levels of HDL (<40 mg/dl) was observed in stages 3, 4 and 5 of CKD patients. 65% of patients had values <40mg/dl. In our study group, 20 patients had TGL/HDL ratio 3.5-5, 45 patients had TGL/HDL ratio >5. 65 patients had abnormality in lipid profile. Of this, most of the cases were in the stage 4 (n=30) and stage 5 CKD (n=26). The association of all the above estimated parameters and stages of CKD was statistically significant (p value <0.0001 and <0.05). Comparison of lipid parameters among study and control groups was given in Table 3. In the study group, there was an increase in LDL, TGL, TGL/HDL, TC and decrease in HDL when compared with the control and difference was found to be statistically significant (p value <0.0001). Table 3: Comparison of lipid parameters among study and control groups. Lipid parameters LDL HDL TGL TGL/HDL ratio TC DISCUSSION Groups N Mean Std. deviation Study 100 134.674 55.6159 Control 100 131.304 0.827 Study 100 41.53 12.176 Control 100 51.31 7.484 Study 100 154.93 45.128 Control 100 108.23 19.357 Study 100 4.3095 2.10460 Control 100 2.2156 0.82329 Study 100 207 53.30 Control 100 178 46.79 P value Dyslipidemia is a significant risk factor in cardiovascular diseases in rural population and in patients with CKD, alterations in lipoprotein metabolism may result in development of severe dyslipidemia. 9 This study was hence undertaken to look, whether chronic kidney disease per se, possess a risk of dyslipidemia (without the above secondary causes of dyslipidemia) by excluding obesity, diabetes, patients with nephrotic range of proteinuria, those on beta-blockers, & OCPs, pregnant patients, renal transplant patients and CKD patients on HD. The fact that ratio of triglyceride/high density lipoprotein is a surrogate marker of insulin resistance and its elevation in diabetic patients is well known. This ratio represents the concentration of highly atherogenic small density LDL in the body. This study was conducted to assess the association between the ratio of triglyceride/high density lipoprotein in non-diabetic CKD patients. In the present study, 100 CKD patients were selected (who satisfied the above exclusion and inclusion criteria) and 100 age and sex matched, hospital based controls were also chosen and lipid profile was done on a fasting sample. In our study group of 100 patients, clustering of cases was observed between the age group 30-60 years (82%). International Journal of Advances in Medicine November-December 2017 Vol 4 Issue 6 Page 1588

Of this, 40-50 years had maximum number of cases. Male dominance was observed in the study (86%). Similar observation was made by Bhargavi in her study in which majority of the males were in the age group of 60-79 years, and females were in the age group of 50-69 years. 10 In our study, the LDL values were 134.67±55.61 mg/dl. About 56 % had abnormally high values of LDL >159 mg/dl. The association between rise in serum LDL levels and stages of CKD was statistically significant (p value ). In controls, the mean and SD were 131.30 and 157.054 respectively and P value was statistically significant when compared with controls. This shows that the LDL levels are significantly elevated in CKD patients compared to the control group. This result was in accordance with the observations of Ljutfi et al. 11 In study group, 65% of patients had TGL levels more than 150 mg/dl. Of this, 14 cases had TGL values more than 200 mg/dl. Mean and standard deviation was 154.93 and 45.128 respectively. In controls, the mean and standard deviation were 108.23 and 19.357 and a significant P value was observed between the two groups. Shah et al demonstrated that hypertriglyceridemia was the abnormality found in CKD patients. 12 Similar findings were seen in the studies of Gupta et al, Das et al. 13,14 They found that hypertriglyceridemia was the major abnormality in their studies. In the study group, 65 Patients out of 100 had abnormal levels of total cholesterol more than 200 mg/dl. Levels more than 240 mg/dl was seen in stages 4 and 5 of CKD (n=46). This association between the elevation of LDL and progression of CKD was found to be statistically significant (p value < 0.001). Similar elevation in cholesterol was found in study conducted by Diana M Lee et al. 11 In another study, rise in TC levels and proteinuria had positive cholesterol with severity of CKD. 15 But most studies state that hypercholesterolemia is not a common feature of CKD. It is commonly found in nephrotic syndrome. In the study population, decreased levels of HDL (<40 mg/dl) was observed in all stages of CKD. 65% of patients had values <40 mg/dl. The association between decreasing HDL levels and the progression in stage of CKD was statistically significant (p value ). In control group the mean was 51.31 and standard deviation was 7.484 with p value. This shows that there was a significant reduction in HDL-C levels in patients with CKD than that of controls. Similar findings were found in the conducted by Diana M Lee et al. and MDRD study. 11,16 Increasing TGL levels and decreasing HDL levels in CKD patients are reflected as rising TGL/ HDL ratio with progression of the severity of CKD from stage 3 to stage 5. In our study group, 35% had ratios less than 3.5. About 20 patients had TGL/HDL ratio in the range of 3.5-5, 45 patients had TGL/HDL ratio >5. This association between the rise in TGL/HDL ratio and progression of CKD was found to be statistically significant (p value <0.0001). In control group the mean was 2.215 and standard deviation was 0.823 and the difference was (P<0.0001) was statistically significant. This shows that the TGL/HDL ratio was significantly elevated in CKD patients when compared with the control group. Studies have shown that this ratio was significantly associated with the prevalence of CKD and its rise correlates with the severity of CKD. 17 CONCLUSION The results of the present study conclude that CKD patients with lipid abnormalities are more prone to higher risk of cardiovascular events. Hence, it is essential to treat dyslipidemia in early stages CKD to prevent secondary complications. Funding: No funding sources Conflict of interest: None declared Ethical approval: The study was approved by the institutional ethics committee REFERENCES 1. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Inter. 2013;3:1-150. 2. World Health Organisation. Burden of disease project. Available at: http://www.who.int/topics/global_burden_of_diseas e/en/. Accessed on September 2006. 3. Bamgboye EL. Hemodialysis: management problems in developing countries, with Nigeria as a surrogate. Kidney Int. 2003;63(83). 4. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047-53. 5. Brenner BM. Brenner and Rector's The Kidney. In: Ramesh Saxena & Robert D. Toto, editors. Approach to the Patient with Kidney Disease. Boston, MA: Saunders; 2007(20 pp, 200 refs). 6. Attman PO, Alaupovic P, Samuelsson O. Lipoprotein abnormalities as a risk factor for progressive non-diabetic renal disease. Kidney Int. 1999;56:14-7. 7. 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moderate renal failure. J Am Soc Nephrol. 2000;11:105-15. 9. Garg G, Chawla SMS, Kaur S. A Clinical Study Of Dyslipidemia In Patients Of Chronic Kidney Disease. Intl J Bioassays. 2015;4(3):3732-7. 10. Bhargavi MV. A Case-Control Study Of Prevalence And Type Of Dyslipidemia In Chronic Kidney Disease. Int J Pharm Bio Sci. 2015;6(2):93-102. 11. Ljutfi Z, Koco C, Todor G, Lipid profile and concentration of ApoA-1 and ApoB-100 in patients with end-stage renal disease treated by repeated hemodialysis, Sec Biol Med Sci. 2008;29;141-52. 12. Shah B, Nair S, Sirsat RA, Ashavaid TF, Nair K. Dyslipidemia in patients with chronic renal failure and in transplant patients. J Postgraduate Med. 1994;40:57-60. 13. Gupta DK. Hyperdipidemia in patents of chronic renal failure. Bombay Hospital J. 1991;33:45-50. 14. Das BS, Mishra SK, Rao DVP. Serum lipids in chronic renal failure. J Assoc Physicians India. 1984;32:1019-21. 15. Washio M, Okuda S, Ikeda M, Hirakata H, Nanishi F, Onoyama K, et al. Hypercholesterolemia and the progression of the renal dysfunction in chronic renal failure patients. J Epidemiol. 1996;6:172-7. 16. Hunsicker LG. Predictors of the progression of renal disease in the modification of diet in renal disease study. Kidney Int. 1997;51:1908-19. 17. Baliga KV, Sharma MPK, Prakash MS, Mostafi MM. Lipid Profile In Transplant Patients: A Clinical Study. MJAFI. 2003;59(1):32-5. Cite this article as: Velayudham R, Sivasubramanian S. Dyslipidemia in chronic kidney disease excluding diabetic and nephrotic aetiology. Int J Adv Med 2017;4:1586-90. International Journal of Advances in Medicine November-December 2017 Vol 4 Issue 6 Page 1590