Predictors of Patient Survival in Continuous Ambulatory Peritoneal Dialysis 10-Year Experience in 2 Major Centers in Tehran

Similar documents
PART ONE. Peritoneal Kinetics and Anatomy

3/21/2017. Solute Clearance and Adequacy Targets in Peritoneal Dialysis. Peritoneal Membrane. Peritoneal Membrane

Early Estimation of High Peritoneal Permeability Can Predict Poor Prognosis for Technique Survival in Patients on Peritoneal Dialysis

Methods. Original Article. Abstract

Effect of Initial PET Status on Clinical Course in Peritoneal Dialysis Patients

Peritoneal Dialysis Adequacy: Not Just Small- Solute Clearance

Malnutrition and inflammation in peritoneal dialysis patients

Third Day. Thursday, November 24

Advances in Peritoneal Dialysis, Vol. 29, 2013

Ana Paula Bernardo. CHP Hospital de Santo António ICBAS/ Universidade do Porto

De Novo Hypokalemia in Incident Peritoneal Dialysis

The CARI Guidelines Caring for Australians with Renal Impairment. Monitoring patients on peritoneal dialysis GUIDELINES

The Effect of Residual Renal Function at the Initiation of Dialysis on Patient Survival

The CARI Guidelines Caring for Australians with Renal Impairment. Mode of dialysis at initiation GUIDELINES

Effects of Increased Peritoneal Clearances on Mortality Rates in Peritoneal Dialysis: ADEMEX, a Prospective, Randomized, Controlled Trial

METHODS RESULTS. Patients

Intravenous Iron Does Not Affect the Rate of Decline of Residual Renal Function in Patients on Peritoneal Dialysis

Objectives. Peritoneal Dialysis vs. Hemodialysis 02/27/2018. Peritoneal Dialysis Prescription and Adequacy Monitoring

Survival of Patients Over 75 Years of Age on Peritoneal Dialysis Therapy

Hyperphosphatemia is a strong predictor of overall

The CARI Guidelines Caring for Australians with Renal Impairment. Peritoneal transport and ultrafiltration GUIDELINES

PERITONEAL DIALYSIS PRESCRIPTION MANAGEMENT QUICK REFERENCE GUIDE

Blood Pressure Measurement and Left Ventricular Mass Index in Hemodialysis Patients Comparison of Several Methods

Gambrosol Trio, clinical studies 91 Glitazone, malnutrition-inflammationatherosclerosis

Predicting Clinical Outcomes in Peritoneal Dialysis Patients Using Small Solute Modeling

( ) , (Donabedian, 1980) We would not choose any treatment with poor outcomes

Brief communication (Original)

Title:Hyperphosphatemia as an Independent Risk Factor of Coronary Artery Calcification Progression in Peritoneal Dialysis Patients

Improvement in Pittsburgh Symptom Score Index After Initiation of Peritoneal Dialysis

Effect of Kt/V on survival and clinical outcome in CAPD patients in a randomized prospective study

Original Article. Key words: Icodextrin, peritoneal dialysis, metabolic effects, ultrafiltration

Predictive Factors for Withdrawal from Peritoneal Dialysis: A Retrospective Cohort Study at Two Centers in Japan

DIALYSIS. Original Paper. Parvin Soltani, 1 Pardis Ketabi Moghaddam, 2 Farshid Haghverdi, 1 Ali Cheraghi 2

The CARI Guidelines Caring for Australians with Renal Impairment. Level of renal function at which to initiate dialysis GUIDELINES

Chapter 2 Peritoneal Equilibration Testing and Application

NATIONAL QUALITY FORUM Renal EM Submitted Measures

Advances in Peritoneal Dialysis, Vol. 23, 2007

Evidence Table. Study Type: Randomized controlled trial. Study Aim: To compare frequent nocturnal hemodialysis and conventional in-center dialysis.

Downloaded from irje.tums.ac.ir at 19:49 IRST on Monday January 14th 2019

2016 Annual Dialysis Conference Michelle Hofmann RN, BSN, CNN Renal Clinical Educator - Home

PART FOUR. Metabolism and Nutrition

Patient and technique survival on peritoneal dialysis in patients with failed renal allograft: A case control study

Daily peritoneal ultrafiltration predicts patient and technique survival in anuric peritoneal dialysis patients

PERITONEAL DIALYSIS PRESCRIPTION MANAGEMENT GUIDE

Effect of previously failed kidney transplantation on peritoneal dialysis outcomes in the Australian and New Zealand patient populations

Peritoneal Solute Transport Rate as an Independent Risk Factor for Total and Cardiovascular Mortality in a Population of Peritoneal Dialysis Patients

Effects of Diabetes Mellitus, Age, and Duration of Dialysis on Parathormone in Chronic Hemodialysis Patients. Hamid Nasri 1, Soleiman Kheiri 2

Nephrology. Renal Replacement in End-Stage Renal Disease Patients over 75 Years Old. ABC Fax

The outcomes of continuous ambulatory and automated peritoneal dialysis are similar

Maintaining Peritoneal Dialysis Adequacy: The Process of Incremental Prescription

Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry

Microbiology Risk Factors and Outcomes of Peritonitis in Tunisian Peritoneal Dialysis Patients

Chapter 12 PERITONEAL DIALYSIS

The peritoneal equilibration test (PET) was developed THE SHORT PET IN PEDIATRICS. Bradley A. Warady and Janelle Jennings

WHEN (AND WHEN NOT) TO START DIALYSIS. Shahid Chandna, Ken Farrington

I. CLINICAL PRACTICE GUIDELINES FOR PERITONEAL DIALYSIS ADEQUACY

The control of extracellular fluid volume (ECFV) is a

Volume Management 2/25/2017. Disclosures statement: Objectives. To discuss evaluation of hypervolemia in peritoneal dialysis patients

Variable Included. Excluded. Included. Excluded

ad e quate adjective \ˈa-di-kwət\

Status of the CKD and ESRD treatment: Growth, Care, Disparities

Kieran McCafferty 1,2, Stanley Fan 1 and Andrew Davenport 2. clinical investigation. see commentary on page 15

Periodic Peritoneal Dialysis in End Stage Renal Disease: Is it Still Relevant? A Single Center Study from India

Table 1 Baseline characteristics of 60 hemodialysis patients with atrial fibrillation and warfarin use

You can sleep while I dialyze

S150 KEEP Analytical Methods. American Journal of Kidney Diseases, Vol 55, No 3, Suppl 2, 2010:pp S150-S153

Chronic hepatitis C virus (HCV) infection is common

Increased peritoneal dialysis utilization and improved patient survival over a 20-year period: data from a Portuguese Peritoneal Dialysis Unit

METABOLISM AND NUTRITION WITH PD OBESITY. Rajnish Mehrotra Harborview Medical Center University of Washington, Seattle

MORRELL MICHAEL AVRAM, DANIEL BLAUSTEIN, PAUL A. FEIN, NAVEEN GOEL, JYOTIPRAKAS CHATTOPADHYAY, and NEAL MITTMAN

Long-term blood pressure control in a cohort of peritoneal dialysis patients and its association with residual renal function

THE HEMODIALYSIS PRESCRIPTION: TREATMENT ADEQUACY GERALD SCHULMAN MD VANDERBILT UNIVERSITY MEDICAL SCHOOL NASHVILLE, TENNESSEE

The Diabetes Kidney Disease Connection Missouri Foundation for Health February 26, 2009

PD In Acute Kidney Injury. February 7 th -9 th, 2013

New Modality of Dialysis Therapy: Peritoneal Dialysis First and Transition to Home Hemodialysis

Intermittent peritoneal dialysis (IPD) has occasionally

Acid-base profile in patients on PD

Antihypertensive Trial Design ALLHAT

PERITONEAL DIALYSIS CLINICAL PERFORMANCE MEASURES DATA COLLECTION FORM 2006

Efficacy and Safety of Ezetimibe and Low-Dose Simvastatin as Primary Treatment for Dyslipidemia in Peritoneal Dialysis Patients

Peritoneal dialysis in the US: Evaluation of outcomes in contemporary cohorts

CHAPTER 12. Peritoneal Dialysis

Dialysis: the long case

Applying clinical guidelines treating and managing CKD

Evaluation and management of nutrition in children

Predicting and changing the future for people with CKD

All patients suitable for home dialysis should do PD first

Dialysis Adequacy and Kidney Disease Outcomes Quality Initiative Goals Achievement in an Iranian Hemodialysis Population

The Intact Nephron Hypothesis in Reverse: An Argument In Favor of Incremental Initiation Of Dialysis (With Residual Kidney Function)

St George & Sutherland Hospitals PERITONEAL DIALYSIS UNIT RENAL DEPARTMENT Workplace Instruction (Renal_SGH_WPI_097)

AJNT. Original Article

The CARI Guidelines Caring for Australians with Renal Impairment. Optimising small solute clearances in peritoneal dialysis GUIDELINES

Analytical Methods: the Kidney Early Evaluation Program (KEEP) The Kidney Early Evaluation program (KEEP) is a free, community based health

02/21/2017. Assessment of the Peritoneal Membrane: Practice Workshop. Objectives. Review of Physiology. Marina Villano, MSN, RN, CNN

Echocardiography analysis in renal transplant recipients

egfr > 50 (n = 13,916)

Comparison of Serum Parathyroid Hormone (PTH) Levels in Hemodialysis and Peritoneal Dialysis Patients. Int.J.Curr.Res.Aca.Rev.2016; 4(11):

The greatest benefit of peritoneal dialysis (PD) is the

PRESERVATION OF RESIDUAL RENAL FUNCTION IN DIALYSIS PATIENTS: EFFECTS OF DIALYSIS-TECHNIQUE RELATED FACTORS

LLL Session - Nutritional support in renal disease

Transcription:

Dialysis Predictors of Patient Survival in Continuous Ambulatory Peritoneal Dialysis 10-Year Experience in 2 Major Centers in Tehran Monir Sadat Hakemi, 1 Mehdi Golbabaei, 2 Amirahmad Nassiri, 3 Mandana Kayedi, 2 Mostafa Hosseini, 4 Shahnaz Atabak, 5 Mohammad Reza Ganji, 1 Manouchehr Amini, 1 Fereshteh Saddadi, 1 Iraj Najafi 1 Original Paper 1 Department of Internal Medicine and Nephrology, Dr Shariati Hospital. Tehran University of Medical Sciences, Tehran, Iran 2 Department of Nephrology, Iranian Hospital. Dubai, UAE 3Department of Internal Medicine and Nephrology. Imam Hossein Hospital. Shaheed Beheshti University of Medical Sciences, Tehran, Iran 4 Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran 5Department of Internal Medicine and Nephrology. Modarress Hospital, Shaheed Beheshti University of Medical Sciences, Tehran, Iran Keywords. continuous ambulatory peritoneal dialysis, patient survival, nutrition, comorbidity Introduction. Many factors have been proposed to be associated with higher mortality in patients on continuous ambulatory peritoneal dialysis (CAPD). However, the relative importance of these factors may differ among patients with different characteristics. We evaluated survival of patients on CAPD and its influencing factors in Iran. Materials and Methods. We enrolled 282 patients on CAPD between 1996 and 2006 at 2 major CAPD centers in Tehran. Patient survival was investigated during this period. Demographic characteristics, laboratory data, dialysis adequacy parameters, residual renal function, peritoneal transport characteristics, and nutritional status were assessed as potential predictors of the outcome. Results. The mean duration of follow-up was 18.4 ± 14.5 months. Sixty patients (21%) died during the studied period. In univariate analysis, age, body mass index, history and duration of hemodialysis before CAPD, diabetes mellitus, blood pressure, patient selection criteria, edema, peritonitis, renal residual function, urine volume, dialysis adequacy, and serum levels of cholesterol, triglyceride, intact parathyroid hormone, calcium, and albumin were predictors of patient survival. Multivariate analysis demonstrated that old age, diabetes mellitus, prior hemodialysis longer than 7 months, low serum albumin, calcium, trigelyceride, and parathyroid hormone levels independently predicted mortality, while the use of angiotensin-converting enzyme inhibitors was associated with a better survival. Conclusions. This study showed that older patients on CAPD and diabetics are at a higher risk of mortality. On the other hand, nutritional and metabolic factors are other predictors of mortality. Especial concern should be applied to good nutrition and treatment of comorbidities in these patients. IJKD 2010;4:44-9 www.ijkd.org INTRODUCTION The number of patients with end-stage renal disease (ESRD) is increasing in the world due to aging populations, longer life expectancy of patients, increasing access to renal replacement therapies, and higher incidence of diabetes mellitus and hypertension. 1 Dialysis prevents death of uremia; however, survival of these patients is still 44 Iranian Journal of Kidney Diseases Volume 4 Number 1 January 2010

a major concern. Although several reports have shown patients on peritoneal dialysis (PD) have better survival than patients on hemodialysis in the first 2 years on dialysis, still their mortality is high. 4,5 Cardiovascular disease remains a major cause of death in about 30% to 50% of patients with ESRD. 1 The reasons for mortality in patients with PD may be due to many factors including old age, comorbid diseases, malnutrition, lowresidual kidney function, and high peritoneal transport. 1-6 The Canada-USA (CANUSA) study group showed that the relative risk of death increased with decreased removal of small solutes and serum albumin. 7 In some studies, however, association of mortality and solute transport has not been confirmed. 8,9 The relative impact of risk factors may differ between patients with different characteristics. After establishment of continuous ambulatory PD (CAPD) program in 1996 in Iran, the number of patients on CAPD has been increasing over the time. At present, up to 1500 patients with ESRD (3%) are treating by CAPD in Iran. The purpose of this study was to evaluate patient survival in CAPD in 2 major CAPD centers in Iran and its related factors. MATERIALS AND METHODS Patients We enrolled 282 adult patients on CAPD in 2 major CAPD centers (Dr Shariati Hospital and Shafa PD center) in Tehran, Iran. Patients older than 18 years who had been on CAPD for at least 3 months were enrolled the study. These patients had been on CAPD between1996 and 2006. In February 2006 we reviewed demographic data, laboratory data, dialysis adequacy parameters, residual renal function (RRF), peritoneal transport characteristics, and nutritional status from patients charts. Dialysis adequacy parameters, including creatinine clearance and Kt/V, peritoneal equilibration test (PET), and normalized protein catabolic rate (NPCR) had been calculated with the PD Adequest 2.0 for Windows program (Baxter Healthcare Co, Deerfield, Illinois, USA). The negative selection criteria for CAPD included vascular access problems and/or cardiovascular diseases in patients who were not eligible for hemodialysis or kidney transplantation. The end point of the study was patients death and transfer to hemodialysis program, kidney transplantation, or end of the study (considered as censored data). Biochemical Analyses Laboratory data including hemoglobin, serum creatinine, blood urea nitrogen, serum calcium, phosphorus, intact parathyroid hormone, lipid profile, and serum albumin were collected. Development of peritonitis episodes and other infections were accessed as reported in the patients charts. Data related to peritoneum, ultrafiltration, and solute clearance were as follows: weekly total Kt/V and weekly total creatinine clearance were calculated based on the analyses of a 24-hour collection of dialysis solution and urine. The RRF was estimated by the assessment of the mean of renal creatinine and urea clearances. The PET was performed with a standard 4-hour dwell period using 2.25% glucose concentration for a 2-L volume exchange. Finally, calculation of dialysis adequacy, RRF, and PET characteristics were done by the PD Adequest 2.0 for Windows program (Baxter Healthcare Co, Deerfield, Illinois, USA). Nutrition and Medications The nutritional status of the patients was assessed by calculation of NPCR and serum albumin. History of taking calcium carbonate, calcitriol, folic acid, intravenous iron, erythropoietin, statin, and antihypertensive drugs (beta blockers, calcium channel blockers, and angiotensin-converting enzyme [ACE] inhibitors and angiotensin receptor blockers) during the follow-up period were recorded. Statistical Analyses The SPSS software (Statistical Package for the Social Sciences, version 13.0, SPSS Inc, Chicago, Ill, USA) was used for statistical analyses. Univariate and multivariate Cox regression analysis was used to identify the factors which predict patient survival by categorization of continuous variables to get higher hazard ratio. Actuarial patient survival rates were determined by the Kaplan- Meier method. In technique survival analysis, event was transferring to hemodialysis and the others considered as censored. Continuous data were presented as mean ± standard deviation. A difference was considered significant when the P value was less than.05. Iranian Journal of Kidney Diseases Volume 4 Number 1 January 2010 45

RESULTS A total of 282 patients with a mean age of 50.7 ± 16.0 years (range, 14 to 82 years) were included in the study. Of the patients, 157 (55.7%) were candidate for CAPD based on positive selection criteria and 118 (41.8%), based on negative selection criteria. One hundred and forty patients (49.6%) had a history of prior hemodialysis before starting PD. Table 1 outlines characteristics of the patients. The mean duration of follow-up was 18.4 ± 14.5 months (range, 1 to 104 months). At the end of study, 60 patients (21.3%) died. Among survived patients, 124 (44.0%) were active on CAPD. Table 2 summarizes the final status of the patients. Causes of drop-out from CAPD program were peritonitis in 38 (37%), mechanical problems in 9 (14%), membrane failure in 6 (9%), tunnel infection in 1 Table 1. Characteristics of Patients on Continuous Ambulatory Peritoneal Dialysis* Characteristic Value Number of patients 282 Age, y 50.7 ± 16.0 Males 150 (53.2) Body mass index, kg/m 2 23.8 ± 4.1 Diabetes mellitus 93 (32.9) Hypertension 28 (9.9) Comorbidities 76 (29.6) IHD 71 (25.2) CHF 46 (16.3) CVA 12 (4.2) Patient selection Positive 157 (55.7) Negative 118 (41.8) Not determined 7 (2.5) Systolic BP, mm Hg 136.0 ± 23.7 Diastolic BP, mm Hg 81.0 ± 13.7 Serum albumin, mg/dl 3.6 ± 0.5 NPCR, g/kg/d 0.78 ± 0.2 Peritonitis, per patient/y 0.63 Total Kt/V 2.1 ± 0.6 Creatinine clearance, L/wk/1.73 m 2 80.4 ± 28.8 Urine volume, ml/d 741 ± 611 Ultrafiltration, ml/d 906 ± 534 RRF, ml/min 3.3 ± 3.0 PET Low 10 (3) Low average 77 (21) High average 166 (46) High 106 (30) (2%), patient s preference in 2 (3%), and others in 10 patients (15%). Patient survival at 1, 2, 3, 4, and 5 years was 88%, 74%, 65%, 54%, and 46%, respectively (Figure). Technique survival at these years was 88%, 72%, 56%, 39%, and 32%, respectively. The most common cause of death was cardiovascular diseases (53%), followed by infections (12%), others (25%), and unknown (10%). The mean interval between initiation of dialysis and death was 14.7 ± 12.3 months (range, 1 to 53 months). The correlation between different variables and patient survival in a univariate Cox regression model is shown in Table 3; older age, presence of diabetes mellitus, comorbidities, history of prior 7-month or longer hemdialysis, negative patient selection, high body mass index, systolic blood pressure less than 100 mm Hg, diastolic blood pressure less than 65 mm Hg, presence of moderate to severe edema, history of peritonitis more than 2 episodes per year, no RRF, low urine volume, total creatinine clearance less than 55 L/wk/1.73 m 2, Kt/V less than 1.8, low serum albumin level, and NPCR were associated with higher mortality. Despite the role of peritonitis, exit site infection and tunnel *Values in parentheses are percents. IHD indicates ischemic heart disease; CHF, congestive heart failure; CVA, cerebrovascular accident; BP, blood pressure; NPCR, normalized protein catabolic rate; RRF, residual renal function; and PET, peritoneal equilibration test. Table 2. Final Status of Patients on Continuous Ambulatory Peritoneal Dialysis Status Patient (%) Still on peritoneal dialysis 124 (44.0) Died 60 (21.3) Transferred to hemodialysis 63 (22.3) Received a kidney transplant 29 (10.3) Improved kidney function 6 (2.1) Survival of patients on continuous ambulatory peritoneal dialysis. 46 Iranian Journal of Kidney Diseases Volume 4 Number 1 January 2010

Table 3. Predictors of Mortality on Univariate Analysis* Variable P Age 45 y <.001 Body mass index 20.03 Diabetes mellitus.03 Comorbidity <.001 History of prior hemodialysis.008 Prior hemodialysis 7 mo <.001 Negative patient selection <.001 Systolic BP < 100 mm Hg.02 Diastolic BP < 65 mm Hg.002 Edema.002 Peritonitis > 2 episodes/y.007 RRF.03 TCC < 55 L/wk/1.73 m 2.02 Kt/V < 1.8.046 Serum creatinine < 6 mg/dl.001 Urine volume < 250 ml/d.02 Serum albumin < 3.5 mg/dl <.001 NPCR < 0.8.01 Serum calcium < 8.5 mg/dl.008 ipth 35 ng/l <.001 Serum cholesterol < 180 mg/dl <.001 Serum triglyceride < 130 mg/dl.02 *BP indicates blood pressure; RRF, residual renal function; TCC, total creatinine clearance; NPCR, normalized protein catabolic rate; and ipth, intact parathyroid hormone. infection had no significant correlation with patient survival. Mortality of patients with urine volume less than 250 ml/d was 2 times higher than those with higher urine volumes. No RRF increased the mortality 2-fold, as well. In multivariate analysis, age, diabetes mellitus, duration of prior hemodialysis, serum albumin, ACE inhibitors, intact parathyroid hormone level, serum triglyceride level, and serum calcium level predicted mortality (Table 4). Cox regression analysis on different age groups showed that mortality of patients older than 45 years was 25 times more than that of patients younger than 45 years. The use of calcium carbonate, calcitriol, folic acid, intravenous iron, erythropoietin, and all antihypertensive drugs were associated with better survival. However, multivariate Cox regression analysis showed that only the use of ACE inhibitors was associated with better survival (P =.04; odds ratio, 2.09). DISCUSSION In this study, the impact of different factors on survival of patients on CAPD was evaluated. In general, patient survival in our study was comparable to that reported from other countries. 6,10 On the other hand, technique survival was lower than that in western countries. 6,10 The mean age of the patients (50.7 years) was high and also diabetes mellitus was frequent (33%) as a cause of ESRD. Age and diabetes mellitus are associated with different cardiovascular events and could adversely affect survival of patients on dialysis. 1-6,10,14 Our results were consistent with other studies. Death rates of diabetic patients on CAPD were higher than nondiabetics. In fact, diabetes mellitus per se is an independent risk factor affecting long-term survival of patients on PD. 4-6 In diabetic patients on long-term PD, structural and functional changes of the peritoneal membrane occur, which are caused mainly by increased levels of advanced glycation endproducts. 5 Nearly, half of the patients were candidate for CAPD based on negative selection. This shows that CAPD was considered for patients who had vascular access problem, cardiovascular diseases, or contraindication for kidney transplantation. History of hemodialysis before PD in 51% of patients confirms this state. This is the first study which evaluated the correlation between patient selection and patient survival and it showed that patients with negative selection had lower survival. Table 4. Independent Predictors of Patient Survival (Cox Multivariate Analysis) Variable Hazard Ratio (95% CI) P Age 45 y 25.6 (4.4 to 148.5).001 Serum albumin < 3.5 mg/dl 3.0 (1.0 to 9.2).049 Diabetes mellitus 4.4 (1.3 to 14.4).01 Prior hemodialysis > 7 mo 4.7 (1.4 to 13.9).01 Parathyroid hormone 35 ng/l 12.9 (2.8 to 59.5).001 Serum calcium < 8.5 mg/dl 12.7 (2.5 to 64.9).002 Serum trigelyceride < 130 mg/dl 5.1 (1.4 to 18.2).01 No ACE inhibitor 6.4 (1.8 to 22.0).003 Iranian Journal of Kidney Diseases Volume 4 Number 1 January 2010 47

Serum albumin and NPCR were among predictors of mortality in our patients. In about 80% of the patients, NPCR was less than the standard, which shows most of them suffering from malnutrition. Hypoalbuminemia (< 3.5 mg/dl) was also frequent in about 40% of the patient. In multivariate analysis, there was correlation between hypoalbuminemia and mortality. Low serum albumin may reflect the poor nutritional status of the patients. Several studies have shown that low serum albumin is a predictor of mortality. 7,11-13 Especial concern should be applied to nutrition of these patients, which could be associated with decrease in mortality rate of these patients. Total creatinine clearance (80.4 L/wk/1.73 m 2 ) and total Kt/V (2.1) were approximate to the recommended doses. Peritoneal equilibrium tests results showed that most of the patients were among high and high average groups. This study did not show any association between solute transport and mortality, which is consistent with the study of Paniagua and colleagues. 8 The RRF had a significant correlation with patient survival which has been confirmed in many studies. In fact, preservation of RRF is associated with a survival benefit and decrease in morbidity. 14,15 It is necessary to work on strategies which preserve RRF. Peritonitis was the most common cause of PD termination in 37% of alive patients. In fact, peritonitis rate was high in our patients which has been decreased recently by new systems and paying more attention to patient education. Among laboratory findings, parathyroid hormone was an independent predictor of patient survival. Mortality of the patients with lower parathyroid hormone levels was higher. We speculate that a low parathyroid hormone level may be a sign of adynamic bone disease and a higher risk of cardiovascular diseases and mortality. 17 In this study, serum total calcium (not ionized calcium) was measured, and low serum calcium could be related to low serum albumin and increased mortality. Low serum triglyceride concentration was also associated with higher mortality. We could not explain this association, although low serum triglyceride can reflect the poor nutritional status of these patients. CONCLUSIONS We found that older age, presence of diabetes mellitus, low serum albumin, calcium, triglyceride, and intact parathyroid hormone levels, and the use of ACE inhibitors independently predicted mortality of patients on CAPD during an 18-month followup period. In conclusion, this study suggests that good patient selection, prevention of peritonitis episodes, treatment of comorbidities, and improving nutritional status decrease morbidity and mortality of patients on CAPD. CONFLICT OF INTEREST None declared. REFERENCES 1. Heaf J. High transport and malnutrition-inflammationatherosclerosis (MIA) syndrome. Perit Dial Int. 2003;23:109-10. 2. Avram MM, Fein PA, Bonomini L, et al. Predictors of survival in continuous ambulatory peritoneal dialysis patients: a five-year prospective study. Perit Dial Int. 1996;16 Suppl 1:S190-4. 3. Maitra S, Burkart J, Fine A, et al. Patients on chronic peritoneal dialysis for ten years or more in North America. Perit Dial Int. 2000;20 Suppl 2:S127-33. 4. Johnson JG, Gore SM, Firth J. The effect of age, diabetes, and other comorbidity on the survival of patients on dialysis: a systematic quantitative overview of the literature. Nephrol Dial Transplant. 1999;14:2156-64. 5. Stein G, Funfstuck R, Schiel R. Diabetes mellitus and dialysis. Minerva Urol Nefrol. 2004;56:289-303. 6. Cueto-Manzano AM, Quintana-Pina E, Correa-Rotter R. Long-term CAPD survival and analysis of mortality risk factors: 12-year experience of a single Mexican center. Perit Dial Int. 2001;21:148-53. 7. Canada-USA (CANUSA) Peritoneal Dialysis Study Group. Adequacy of dialysis and nutrition in continuous peritoneal dialysis: association with clinical outcomes. Canada-USA (CANUSA) Peritoneal Dialysis Study Group. J Am Soc Nephrol. 1996;7:198-207. 8. Paniagua R, Amato D, Vonesh E, et al. Effects of increased peritoneal clearances on mortality rates in peritoneal dialysis: ADEMEX, a prospective, randomized, controlled trial. J Am Soc Nephrol. 2002;13:1307-20. 9. Lo WK, Bargman JM, Burkart J, et al. Guideline on targets for solute and fluid removal in adult patients on chronic peritoneal dialysis. Perit Dial Int. 2006;26:520-2. 10. Guo A, Mujais S. Patient and technique survival on peritoneal dialysis in the United States: Evaluation in large incident cohorts. Kidney Int. 2003;64:s3. 11. Jones CH, Newstead CG, Wills EJ, Davison AM. Serum albumin and survival in CAPD patients: the implications of concentration trends over time. Nephrol Dial Transplant. 1997;12:554-8. 12. Blake PG, Flowerdew G, Blake RM, Oreopoulos DG. Serum albumin in patients on continuous ambulatory peritoneal dialysis--predictors and correlations with outcomes. J Am Soc Nephrol. 1993;3:1501-7. 48 Iranian Journal of Kidney Diseases Volume 4 Number 1 January 2010

13. Chung SH, Lindholm B, Lee RB. Is malnutrition an independent predictor of mortality in peritoneal dialysis patients? Nephrol Dial Transplant. 2003;18:2134-40. 14. Chung SH, Heimburger O, Lindholm B, Lee HB. Peritoneal dialysis patient survival: a comparison between a Swedish and a Korean centre. Nephrol Dial Transplant. 2005;20:1207-13. 15. Li PK, Cheng YL. Therapeutic options for preservation of residual renal function in patients on peritoneal dialysis. Perit Dial Int. 2007;27 Suppl 2:S158-63. 16. Fried LF, Bernardini J, Johnston JR, Piraino B. Peritonitis influences mortality in peritoneal dialysis patients. J Am Soc Nephrol. 1996;7:2176-82. 17. Dimkovic NB, Bargman J, Vas S, Oreopoulos DG. Normal or low initial PTH levels are not a predictor of morbidity/ mortality in patients undergoing chronic peritoneal dialysis. Perit Dial Int. 2002;22:204-10. Correspondence to: Iraj Najafi, MD Department of Nephrology, Dr Shariati Hospital, North Kargar Ave, Tehran, Iran Tel: +98 21 8490 2469 Fax: +98 21 8490 2469 E-mail: najafi63800@yahoo.com Received July 2009 Revised September 2009 Accepted October 2009 Iranian Journal of Kidney Diseases Volume 4 Number 1 January 2010 49