Table of Content - Volume 8 Issue 2 - November 2017
Determination of the causes of ESRD among patients receiving hemodialysis
Asma P K1*, Muneer RE2, Srikanth Putte Gowda3
1Assistant Professor of Medicine, Kerala Medical College Hospital, Mangod, Palakkad, Kerala, INDIA. 2Consultant Physician Co-Operative Hospital, Vadakara, Kerala, INDIA. 3Govt. Medical College Kozhikode, Kerala, INDIA. Email: drasmapk@gmail.com
Abstract Background: This study presents the main causes of End Stage Renal Diseases (ESRD) among patients who have been receiving hemodialysis. The study has also evaluated the adequacy of hemodialysis provided to these patients using a Urea Reduction Ratio (URR). Materials and methods: This is a retrospective study of 110 patients with ESRD. After identification of the causes of ESRD the study evaluated the dialysis adequacy using Urea Reduction Ratio (URR). Correlation was done to determine the association between dialysis dose and patient outcomes. Results: The mean age of patients was 53.9 %. Male patients who underwent hemodialysis for their end stage renal diseases are three times more than females. Diabetes Mellitus alone (DM) is the leading cause of ESRD among patients receiving hemodialysis with 34.5 % followed by diabetes mellitus plus hypertension covering 29.1 %. 87 % of the patients have shown 65% and above URR while only 13 % of the patients who received hemodialysis were found to have URR of 65%. The average URR was 66.6 %. The mean hemoglobin after hemodialysis was found to be 8.5 g/dl. There is a negative correlation between URR and hemoglobin with a P value of 0.0484. Out of all the patients who received hemodialysis 29.1 % showed clinical improvement. Conclusions: The study found that the urea reduction ratio (URR) after hemodialysis was adequate. The outcome of patients with adequate URR was associated with decreases mortality. Diabetes Mellitus is the leading cause of ESRD among patients receiving hemodialysis followed by diabetes mellitus plus hypertension Key Word: End stage renal disease, hemodialysis, Urea reduction ratio
INTRODUCTION The rapid increase of non-communicable diseases (NCDs) represents one of the major health challenges to global development1. Non-communicable diseases (NCDs) are the most common causes of premature death and morbidity and have a major impact on health-care costs, productivity and growth2. For instance, chronic kidney disease (CKD) is increasing worldwide at an annual growth rate of 8%3. Figures on end stage renal diseases (ESRD) for much of the developing world are unknown but are believed to be higher than those in the developed world4. In developed countries, ESRD is a major cost driver for health-care systems, with annual growth of dialysis programs ranging between 6% and 12% over the past two decades and continuing to grow, particularly in developing countries5. Today, over 2 million people require renal replacement therapy to sustain life worldwide, but this likely represents less than 10% of those who need it. By 2030, more than 70 percent of patients with ESRD will be residents of developing countries, whose collective economies will account for less than 15 percent of the total world economy6. Though there are no studies conducted to measure the prevalence of the end stage renal diseases in Palakkad, the non-communicable diseases like hypertension and diabetes, which are major causes of end stage renal diseases, have shown dramatic increase in the last two decades. This being the fact, the looming growth of chronic kidney disease (CKD) worldwide at an annual growth rate of 8% is also going to affect us because as mentioned above ESRD is more common in developing counties than developed countries when the underlying causes of ESRD is growing steadily3,6. This study tried to find out the causes and distribution of end stage renal diseases among patients who underwent hemodialysis, thus measure the adequacy of hemodialysis and determine the outcome of hemodialysis.
MATERIALS AND METHODS The study was conducted in Palakkad, Kerala, India and all patients who received hemodialysis from 2016 January to March were included in the study. After the patients’ cards had been gathered from the MRD of each hospital, it was systematically arranged in alphabetical order. Data on patients’ identification causes of renal failure, clinical presentations, baseline and follow up laboratory investigations and outcome of hemodialysis were recorded. All these information was transferred into an excel sheet and patients who underwent hemodialysis for acute renal failure, hyperkalemia and other intoxication were excluded from the study. Type of study: A retrospective review of 110 patients with end stage renal diseases, who were on chronic hemodialysis in Palakkad region. The data collected from the patients’ cards was initially transferred into an excel sheet. Based on the criteria mentioned above exclusion and inclusion of study subjects were conducted. To describe the data into meaningful information, percentages and graphical presentation of the data was developed and utilized. Correlation of different variables was used to determine any statistical significance. Statistical inference was utilized to determine the adequacy of hemodialysis by calculating the mean confidence interval of indicators of dialysis adequacy like Urea Reduction Rate (URR). Conclusions were made at 95% confidence levels. That is, differences and relationships were considered statistically significant when the probability value, p, was less than 0.05 (p<0.05). This study was designed to determine dialysis adequacy using urea reduction ration (URR) and determine the relationship between dialysis adequacy and patients’ outcome and to determine the main causes of ESRD among patients undergoing hemodialysis
RESULT To get a better picture of the patients’ age distribution, a 10 years interval was utilized. From our study, the mean age of patients was 53.9 %. Nearly half 25 (45.5%) of the patients were greater than 60 years old. Less than 3.6 % are below 21 years of age. The second greater percentage (20%) of patients falls between 51 to 60 years of age.
Figure 1: The percentage distribution of patients with ESRD by age
To determine the most affected gender, the study reviewed the distribution of male and female patients. Male patients who underwent hemodialysis for their end stage renal diseases are three times more than females.
Figure 2: Gender wise percentage distribution of patients with ESRD who received hemodialysis
Diabetes Mellitus alone (DM) is the leading cause of ESRD among patients receiving hemodialysis with 34.5 % followed by diabetes mellitus plus hypertension covering 29.1 % 20 % of patients with ESRD were found to have hypertension alone. The remaining 9 % and 3.6 % of patients with ESRD were found to have obstructive uropathy and glomerulonephritis (GN) respectively.
Figure 3: Causes of ESRD in patients under chronic hemodialysis
Determination of the adequacy of renal diseases was one of the key purposes of this study. Based on the availability of data, Urea Reduction Ration (URR) was utilized to measure the adequacy of Hemodialysis. A record of Blood Urea Nitrogen (BUN) before and after dialysis was measured and reduction ratio was calculated. 87 % of the patients have shown 65% and above URR while only 13 % of the patients who received hemodialysis were found to have URR of 65%. The average URR was 66.6 %.
Figure 4: Percentage Distribution of URR in Patients Who Received Hemodialysis
Correlation between URR and Hemoglobin The mean hemoglobin after hemodialysis was found to be 8.5 g/dl. As it is shown in fig 5, there is a negative correlation between URR and hemoglobin with a P value of 0.0484 which is statistically significant. The hemodialysis unit has not yet started erythropoietin as supplement treatment along with hemodialysis therefore this could be the factor for the negative correlation and the consistent lower value of hemoglobin in these patients with ESRD.
Figure 5: Correlation of URR and Hemoglobin
DISCUSSION The majority of patients (45.5 %) with ESRD in our study were greater than 60 years of age while the mean age of the patients was 53.9 %. 20% of patients in our study lay between 51 to 60 years of age. Similar study carried out in South Africa reported that the mean age of the patients with ESRD receiving hemodialysis was found to be 40.02 years. The mean age of the patients in study was 13 years older than those in South Africa10 To determine the most affected gender, the study reviewed the distribution of male and female patients. Male patients (76.4%) who underwent hemodialysis for their end stage renal diseases were three times more than the females (23.6%). Similar study conducted in Nigeria found preponderance of male 70.3 % which is very similar finding to our study11. To ensure that patients with ESRD receive a sufficient amount of hemodialysis, the delivered dose should be measured and monitored routinely by every hemodialysis unit; the NKF-DOQI (National Kidney Foundation Kidney Disease Outcomes Quality Initiative) guidelines recommend an assessment of the hemodialysis dose once per month. For stable patients hemodialysis of thrice weekly for at least four hours per session is adequate10. Diabetes Mellitus alone (DM) is the leading cause of ESRD with 34.5 % followed by diabetes mellitus plus hypertension covering 29.1 %. 20 % of patients with ESRD had hypertension as a presumed cause. Unlike other studies the leading cause of ESRD in Palakkad is Diabetes Mellitus alone12,13,15. Determination of the adequacy of renal diseases was one of the key purposes of this study. Based on the availability of data, Urea Reduction Ration (URR) was utilized to measure the adequacy of Hemodialysis. A record of Blood Urea Nitrogen (BUN) before and after dialysis was measured and reduction ratio was calculated in percentage. Eighty seven per cent of the patients have shown 65% and above URR while only 13 % of the patients who received hemodialysis had less than 65 % URR. The average URR was 66.6 %. Majority of the patients in the hospital receive three times per week hemodialysis. Three times per week hemodialysis have shown efficient urea reduction which contribute to the better survival of patients16. Thrice-weekly treatment time with 3 hours per hemodialysis session compared with 3.5 hours hemodialysis duration was associated with increased death risk independent of Kt/V dose. The greatest survival gain of higher hemodialysis dose was associated with a Kt/V approaching the 1.6-1.8 range, beyond which survival gain was minimal, nonexistent, or even tended to reverse in African American men and those with 4-5 hours of HD treatment. In non-Hispanic white women, Kt/V of 1.8 continued to show survival advantage trends, especially in time-dependent models17. The duration of hemodialysis session in our Hospital is between 2 to 3 hours. The adequacy of hemodialysis in terms of creatinine clearance (Kt/V) is still adequate if we assess it indirectly using URR. A 65 % URR correspondence to Kt/V value of 1.2 which is a required target by many centers18. South African study concluded that in terms of URR (urea reduction ratio) a Kt/V of 1.3 corresponds to an average URR of 70%. However the URR corresponding to a Kt/V of 1.3 can vary substantially as a function of ultrafiltration. And different target values are needed for patients who are dialyzed more or less frequently19. The mean hemoglobin after hemodialysis was found to be 8.5 g/dl. As it is shown in fig 5, there is a negative correlation between URR and hemoglobin with a p value of 0.0484 which is statistically significant. The hemodialysis session of have not yet started erythropoietin treatment along with dialysis therefore this could be the factor for the negative correlation. Observational study conducted in the states found out that mortality descended with increasing hemoglobin concentrations up to a level of 10-11 g/dl 20. The mean hemoglobin (8.5 g/dl) in our study is in the lower range, this could be a potential risk factor for bad outcome. Out of all the patients who received hemodialysis 29.1 % showed clinical improvement. In one Nigerian study 38(6.8%) survived on hemodialysis for longer than three months and the median duration of survival after diagnosis for all the patients was 2 weeks (range 0-50 months)11. Our study did not measure the median duration of survival but 10 % of the patients in our study population died despite regular hemodialysis. Mortality remains high even in high settings area despite three times hemodialysis per week, the US renal data system for instance indicated that the morbidity and mortality rate of patients receiving three times per week hemodialysis (HD) remain unacceptably high21.
CONCLUSION In this study where patients with end stage renal diseases who received hemodialysis from January –March 2016 were included, we found that the urea reduction ratio (URR) after hemodialysis was adequate. The outcome of patients with adequate URR was associated with decreases mortality. ESRD is very prevalence among the elderly greater than 60 years of age. And our study reached that men are worst affected by ESRD than women. The frequency of hemodialysis in our hospital is not adequate though the percentage of URR per dialysis session is very adequate. A three times a week hemodialysis session, which is a widely accepted frequency by international standards; need to be maintained by Hospital. Diabetes Mellitus is the leading cause of ESRD among patients receiving hemodialysis in Palakkad region followed by Diabetes Mellitus plus hypertension. The prevalence of anemia in all patients with ESRD under hemodialysis is very high. A negative correlation was identified between adequacy of hemodialysis determined through URR and hemoglobin, thus despite the adequacy of hemodialysis, anemia remains high. REFERENCES
Policy for Articles with Open Access
|
|