|Year : 2018 | Volume
| Issue : 1 | Page : 113
Survival rate and predictors of mortality among hemodialysis patients in West of Iran, 1996–2015
Salman Khazaei1, Mehdi Yaseri2, Shahrzad Nematollahi2, Zahra Zobdeh3, Vida Sheikh4, Mohammad Ali Mansournia2
1 Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
2 Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3 Depatrment of Nursing and Midwifery, Valiasr Hospital of Tuyserkan, Hamadan University of Medical Sciences, Hamadan, Iran
4 Department of Internal Medicine, Clinical Research Development Unit of Shahid Beheshti Hospital, Hamadan University of Medical Sciences, Hamadan, Iran
|Date of Submission||05-Dec-2016|
|Date of Acceptance||03-Jul-2017|
|Date of Web Publication||24-Dec-2018|
Dr. Mohammad Ali Mansournia
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Enghelab Square, Tehran
Source of Support: None, Conflict of Interest: None
Background: Hemodialysis (HD) is one of the treatments provided to end-stage renal disease (ESRD) patients. A few studies have investigated the survival rate of HD patients in Iran. Hence, we decided to investigate the survival rate and it is predictors among Iranian ESRD patients. Methods: This is a retrospective cohort study conducted in 165 HD patients in Tuyserkan city (Hamadan province) during 20 years from 1996 to 2015. The checklist used to gather information was comprised of patients' demographic and clinical information. The analysis was performed using Kaplan–Meier curves, log-rank test, and cox regression model. Results: The most prevalent cause of ESRD was reported to be high blood pressure (32.7%). The probability of survival rate at the end of 1st, 5th, and 10th year was 0.65, 0.16, and 0.05, respectively. Results of multivariate cox regression showed that old age, catheter vascular access, and high hemoglobin level have a negative significant effect on survival of HD patients (P < 0.05). Conclusions: Overall, the survival of HD patients seems to be low in Tuyserkan as compared to other studies. Age, ESRD cause, vascular access, marital status, and hemoglobin level among other factors are proved to have a significant effect on survival probability.
Keywords: Cox regression models, end-stage renal disease, hemodialysis patients, survival
|How to cite this article:|
Khazaei S, Yaseri M, Nematollahi S, Zobdeh Z, Sheikh V, Mansournia MA. Survival rate and predictors of mortality among hemodialysis patients in West of Iran, 1996–2015. Int J Prev Med 2018;9:113
|How to cite this URL:|
Khazaei S, Yaseri M, Nematollahi S, Zobdeh Z, Sheikh V, Mansournia MA. Survival rate and predictors of mortality among hemodialysis patients in West of Iran, 1996–2015. Int J Prev Med [serial online] 2018 [cited 2019 Jan 23];9:113. Available from: http://www.ijpvmjournal.net/text.asp?2018/9/1/113/248477
| Introduction|| |
Chronic kidney disease considered a general term for heterogeneous disorders affecting the structure and functions of the kidney and characterized by the failure of kidneys to function properly above 50% of their normal capacity. If glomerular filtration rate became <15 mL/min/1.73 m2, or the need for treatment with dialysis or transplantation, the so-called end-stage renal disease (ESRD) occurs.
Against the USA, Western European countries, and other developed countries, developing countries like Iran have experienced increasing trend of ESRD in the recent decade. Increase in the prevalence of diabetes mellitus and hypertension as the most leading causes of ESRD, as well as an increase in the number of hemodialysis (HD) centers and increase in the detection rate of patients can be in relation to this increasing trend in Iran., It should be noted that nearly 50% of the ESRD patients in Iran are treated with HD and the remaining are undergone transplantation and peritoneal dialysis (PD). In the United States, the 1- and 5-year survival rate of patients HD is 79% and 34%, respectively. Few studies in Iran have investigated the survival rate of HD patients as well. Montaseri et al. showed that the overall 1-, 2-, 3-, and 5-year survival rates for HD patients are 75%, 63%, 50%, and 23%, respectively. Furthermore, Beladi Mousavi et al. have reported that patient's survival rates at 1, 3, and 5 years is 89.2%, 69.2%, and 46.8%, respectively. Several factors for such a high mortality including advanced age, diabetes mellitus, adult dominant polycystic kidney disease, high blood pressure (BP), glomerulonephritis, low body mass index, homocysteine, creatinine, albumin, dialysis adequacy, method of renal replacement therapy, and etiology of kidney failure have been reported.,,,, Among all the aforementioned factors, cardiovascular disease is the leading cause of death in ESRD patients. Although there is growing evidence of HD survival in developed countries, evidence in developing countries like Iran is rarely available. Therefore to reach better understanding predictors of survival rate for HD patients, we decided to investigate the survival rate and it's predictors among HD patients in the western part of Iran.
| Methods|| |
Study design and participants
We performed a historical cohort study on 165 HD patients in Tuyserkan county (Hamadan province) in the western part of Iran. At the 2011 census, the county's population was 103,786 (https://www.amar.org.ir/english). This study was approved by the Ethics Committee of Tehran University of Medical Sciences (TUMS. SPH. REC. 1395.1300). To provide a homogenous cohort we excluded patients with acute renal failure receiving transient HD, emigrants, undergone transplantation, or deceased by causes other that renal failure and patients on maintenance HD for ESRD at the Valiasr Hospital between 20 years of follow up between the years of 1996 and 2015 were included in the study.
Study measurement tool
Data were gathered by a checklist on hospital records of all ESRD patients. The checklist used in this study was comprised of patient's demographic information (including age, sex, residence area, educational level, the history of tobacco use or substance abuse, the date of discontinuation the therapy, the date of death if occurred, blood type and RH), and clinical information (including hemoglobin, creatinine, and blood urea nitrogen levels before the dialysis procedure, number of weekly dialysis sessions, the type of intravenous access, and background diseases such as cardiovascular diseases).
To define the time scale, we considered the time interval between the first sessions of HD to the time of patient's death. Patients, who they were changed to peritoneal dialysis therapy, were transferred to another dialysis unit or received kidney grafts were considered to be censored.
The log-rank test was used to comparison median of survival between subgroups. Schoenfeld's residual test was used to test the proportional hazards (PHs) assumption and uni- and multi-variable (adjusted by other variables in the model) cox PH with a 95% confidence interval was used to identify the significant predictors of survival rate for HD patients. The level of 0.05 was considered statistically significant for all statistical tests. We used the Stata software version 12 (Stata Corp., College Station, TX, USA) to perform all the analytical operations.
| Results|| |
[Table 1] describes the main characteristics of the patients. Totally 165 HD patients were studied, of whom 56.4% were male and 52.7% were urban citizens. Hemoglobin level in most of these patients did not exceed 10 mg/dl. In addition, the most prevalent cause of ESRD was reported to be High BP (32.7%). The median survival rate for patients with diabetes, BP, and others (urology, Polycystic, and Glomerulonephritis) ESRD cause were 21, 20.9 and 30.46 months, respectively. However, these differences in survival by ESRD cause were not significant (P = 0.61).
The probability of survival rate at the end of 1st, 5th, and 10th year was 0.65, 0.16, and 0.05, respectively. Moreover, [Table 1] shows that the only significant differences in survival time were found for marriage categories (66.9 months in singles vs. 20.3 in married and vs. 20 in bigamy, P = 0.02), and hemoglobin levels (23.8 in ≤10 mg/dl vs. 21.2 in >10 mg/dl, P = 0.03).
The results of the uni- and multi-variable analysis using the Cox's PHs model are demonstrated in [Table 2]. Based on the multivariable results, in comparison to patients with <45 years of age patients with 45–60 and >60 year had 2.9 and 5.54 higher risk of death (P < 0.01). Patients with the hemoglobin level over 10 mg/dl as compared to who's with lower than that, have a 74% lower risk of decrease (HR = 1.74, P = 0.018). In addition, patients with catheter as vascular access had 3.6-fold higher risk of death 3.6 (HR = 3.6, P < 0.001). Patients with BP as ESRD cause had a higher risk of death compared patients with diabetes as ESRD cause (HR = 1.73, P = 0.049).
|Table 2: The result of uni- and multi-variate Cox proportional hazards survival analysis in hemodialysis patients|
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| Discussion|| |
In this retrospective study, the median of survival time was 22.4 months, whereas the survival probability in 1st, 5th, and 10th years were 65%, 16%, and 5%, respectively. High BP was the most prevalent cause of ESRD in 32.7% of patients. The old age, catheter vascular access, High BP as an ESRD cause, and high hemoglobin level has a negative effect on survival of HD patients.
Our results showed a lower survival rate in comparison to the patients in other parts of the country. For instance, the 5-year survival of HD patients was found to be 48.6% in Southern Iran, and 23% in the Northern part of Iran. The result of the study in Brazil revealed that overall survival of HD patients were 84.71% and 63.32% in 1 and 5 years, respectively. Studies have shown that age, undoubtedly, is one of the significant risk factors for survival., In the present study, age had a statistically significant impact on survival of patients. Therefore, one possible explanation for observing such high mortality results in the study could be referred to the fact that over half of our sample comprised of patients aged above 60-year-old.
In addition, it was found that males had a higher risk of mortality compared to females though not significant, which is consistent with prior reports.,, This finding, however, does not agree with the results of Depner et al. Another study showed that although HD women had more depression-related score, but have better survival than men. Better compliance of women may in connect with their better survival.
Moreover, there was a significant difference in marriage categories in terms of survival, so that single patients have the highest median survival between all categories. The higher median survival in single patients can be related to the fact that single patients are typically younger [Table 1]. Several studies have shown that younger patients have better survival, either because of the slow progression of background disease or favorable physical conditions., It seems that social support performs through marital status and we cannot deduce any causal relationship merely based on marital status.
Consistent with the results of other study and in contrast United States, which approximately 44% of ESRD cases caused by diabetes mellitus, It was found that hypertension was the major comorbidity associated with ESRD, Our results also showed that high BP along with diabetes mellitus are the dominant prognostic factors for low survival, whereas polycystic kidney diseases and glomerulonephritis were associated with highest duration of survival in HD patients, respectively. These findings are in agreement with other studies.,, On the other hand, the results revealed that age could be considered as a confounder since over 60% of the diabetic patients aged up to 60 years (data were not shown). Furthermore, due to sparse data and low sample size for polycystic kidney diseases and glomerulonephritis this finding is not reliance.
Results of this study showed that vascular access using catheter accompanied with increased risk of death. In fact, limiting the use of catheters minimized the infectious complications in patients, this result is consistency with findings of Matos et al. in Brazil, and Shibiru et al. in Ethupia. Our finding demonstrated that dialysis duration is in relation with the risk of death in patients, studies had conflicting result in this regard. Some observational studies, demonstrated a lower mortality risk associated with higher HD dose; in contrast, result of one randomized controlled trial had contradicted result. However, some confounders such as body size and nutritional status can affect this relationship.
One of the limitations of this study was missing data due to the migration of patients, incomplete hospital records, or unwillingness to participate. Therefore, further studies with prospective follow-up are imperative. In addition, the small sample size limits the power of the study to determine potential risk factors.
| Conclusions|| |
Overall, we found that age, dialysis duration, ESRD cause, vascular access, hemoglobin level, and marital status are possible factors affecting the survival of HD patients. Considering the low survival probability of these patients, efforts should be made to the real-time diagnosis of the cause of renal diseases. In addition, since age is an important prognostic factor of survival, developing new screening strategies targeting high-risk groups to find the background causes of renal disease should be encouraged.
The authors would like to thank all contributors and participants who make this study project possible as well as the personnel of the HD wards in Valiasr Hospital of Tuysekan for their kind collaboration.
Financial support and sponsorship
This study was financially supported by the Vice-Chancellor for Research and Technology of Babol University of Medical Sciences, Babol, Iran.
Conflicts of interest
There are no conflicts of interest.
| References|| |
Levey AS, Coresh J. Chronic kidney disease. Lancet 2012;379:165-80.
Hsu CY, Ordoñez JD, Chertow GM, Fan D, McCulloch CE, Go AS. The risk of acute renal failure in patients with chronic kidney disease. Kidney Int 2008;74:101-7.
Wetmore JB, Collins AJ. Global challenges posed by the growth of end-stage renal disease. Ren Replace Ther 2016;2:1-7. [Doi: 10.1186/s41100-016-0021-7].
Aghighi M, Heidary Rouchi A, Zamyadi M, Mahdavi-Mazdeh M, Rajolani H, Ahrabi S, et al.
Dialysis in Iran. Iran J Kidney Dis 2008;2:11-5.
Mousavi SS, Soleimani A, Mousavi MB. Epidemiology of end-stage renal disease in Iran: A review article. Saudi J Kidney Dis Transpl 2014;25:697-702.
] [Full text]
Najafi I, Hakemi M, Safari S, Atabak S, Sanadgol H, Nouri-Majalan N, et al.
The story of continuous ambulatory peritoneal dialysis in Iran. Perit Dial Int 2010;30:430-3.
Al-Dadah A, Omran J, Nusair MB, Dellsperger KC. Cardiovascular mortality in dialysis patients. Adv Perit Dial 2012;28:56-9.
Murphy SW, Foley RN, Barrett BJ, Kent GM, Morgan J, Barré P, et al.
Comparative mortality of hemodialysis and peritoneal dialysis in Canada. Kidney Int 2000;57:1720-6.
Beladi Mousavi SS, Hayati F, Alemzadeh Ansari MJ, Valavi E, Cheraghian B, Shahbazian H, et al.
Survival at 1, 3, and 5 years in diabetic and nondiabetic patients on hemodialysis. Iran J Kidney Dis 2010;4:74-7.
Herzog CA, Asinger RW, Berger AK, Charytan DM, Díez J, Hart RG, et al.
Cardiovascular disease in chronic kidney disease. A clinical update from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 2011;80:572-86.
Sikole A, Nikolov V, Dzekova P, Stojcev N, Amitov V, Selim G, et al.
Survival of patients on maintenance haemodialysis over a twenty-year period. Prilozi 2007;28:99-110.
Vonesh EF, Snyder JJ, Foley RN, Collins AJ. Mortality studies comparing peritoneal dialysis and hemodialysis: What do they tell us? Kidney Int Suppl 2006;70:S3-11. Doi:10.1038/sj.ki.5001910.
Weinhandl ED, Foley RN, Gilbertson DT, Arneson TJ, Snyder JJ, Collins AJ. Propensity-matched mortality comparison of incident hemodialysis and peritoneal dialysis patients. J Am Soc Nephrol 2010;21:499-506.
Teixeira FI, Lopes ML, Silva GA, Santos RF. Survival of hemodialysis patients at a university hospital. J Bras Nefrol 2015;37:64-71.
Kucirka LM, Grams ME, Lessler J, Hall EC, James N, Massie AB, et al.
Association of race and age with survival among patients undergoing dialysis. JAMA 2011 10;306:620-6.
Ahuja TS, Grady J, Khan S Changing trends in the survival of dialysis patients with human immunodeficiency virus in the United States. J Am Soc Nephrol 2002;13:1889-93.
Yeates A, Hawley C, Mundy J, Pinto N, Haluska B, ShahP. Treatment outcomes for ischemic heart disease in dialysis-dependent patients. Asian Cardiovasc Thorac Ann 2012;20:281-91.
Depner T, Daugirdas J, Greene T, Allon M, Beck G, Chumlea C, et al.
Dialysis dose and the effect of gender and body size on outcome in the HEMO Study. Kidney Int 2004;65:1386-94.
Peng YS, Huang JW, Hung KY, Lin BS, Lin CY, Yang CS, et al.
Women on hemodialysis have lower self-reported health-related quality of life scores but better survival than men. J Nephrol 2013;26:366-74.
Johansen KL, Chertow GM, Jin C, Kutner NG. Significance of frailty among dialysis patients. J Am Soc Nephrol 2007;18:2960-7.
Herzog CA, Ma JZ, Collins AJ. Comparative survival of dialysis patients in the United States after coronary angioplasty, coronary artery stenting, and coronary artery bypass surgery and impact of diabetes. Circulation 2002;106:2207-11.
Collins AJ, Foley RN, Herzog C, Chavers BM, Gilbertson D, Ishani A, et al.
Excerpts from the US renal data system 2009 annual data report. Am J Kidney Dis 2010;55 1 Suppl 1:S1-420, A6-7.
Gmar-Bouraoui S, Skhiri H, Achour A, Frih A, Dhia NB, Hammami S, et al.
The predictors of early mortality in patients starting chronic hemodialysis. Saudi J Kidney Dis Transpl 2003;14:23-9.
] [Full text]
Bradbury BD, Fissell RB, Albert JM, Anthony MS, Critchlow CW, Pisoni RL, et al.
Predictors of early mortality among incident US hemodialysis patients in the Dialysis Outcomes and Practice Patterns Study (DOPPS). Clin J Am Soc Nephrol 2007;2:89-99.
Matos JP, Almeida JR, Guinsburg A, Marelli C, Barra AB, Vasconcellos MS, et al.
Assessment of a five-year survival on hemodialysis in Brazil: A cohort of 3,082 incident patients. J Bras Nefrol 2011;33:436-41.
Shibiru T, Gudina EK, Habte B, Derbew A, Agonafer T. Survival patterns of patients on maintenance hemodialysis for end stage renal disease in Ethiopia: Summary of 91 cases. BMC Nephrol 2013;14:127.
Port FK, Ashby VB, Dhingra RK, Roys EC, Wolfe RA. Dialysis dose and body mass index are strongly associated with survival in hemodialysis patients. J Am Soc Nephrol 2002;13:1061-6.
Wolfe RA, Ashby VB, Daugirdas JT, Agodoa LY, Jones CA, Port FK. Body size, dose of hemodialysis, and mortality. Am J Kidney Dis 2000;35:80-8.
Eknoyan G, Beck GJ, Cheung AK, Daugirdas JT, Greene T, Kusek JW, et al.
Effect of dialysis dose and membrane flux in maintenance hemodialysis. N Engl J Med 2002;347:2010-9.
[Table 1], [Table 2]