Effect of dialysis initiation timing on clinical outcomes: a propensity-matched analysis of a prospective cohort study in Korea.

BACKGROUND: Controversy persists regarding the appropriate initiation timing of renal replacement therapy for patients with end-stage renal disease. We evaluated the effect of dialysis initiation timing on clinical outcomes. Initiation times were classified according to glomerular filtration rate (GFR).
METHODS: We enrolled a total of 1691 adult patients who started dialysis between August 2008 and March 2013 in a multi-center, prospective cohort study at the Clinical Research Center for End Stage Renal Disease in the Republic of Korea. The patients were classified into the early-start group or the late-start group according to the mean estimated GFR value, which was 7.37 ml/min/1.73 m2. The primary outcome was patient survival, and the secondary outcomes were hospitalization, cardiovascular events, vascular access complications, change of dialysis modality, and peritonitis. The two groups were compared before and after matching with propensity scores.
RESULTS: Before propensity score matching, the early-start group had a poor survival rate (P<0.001). Hospitalization, cardiovascular events, vascular access complications, changes in dialysis modality, and peritonitis were not different between the groups. A total of 854 patients (427 in each group) were selected by propensity score matching. After matching, neither patient survival nor any of the other outcomes differed between groups.
CONCLUSIONS: There was no clinical benefit after adjustment by propensity scores comparing early versus late initiation of dialysis.

Introduction

Chronic kidney disease (CKD) is a major public health problem, and the number of patients requiring dialysis for end-stage renal disease (ESRD) has been increasing rapidly around the world [1]. In 2011, the prevalence of dialysis patients in the United States was 430,273 (0.2% of the general population), and the rate of ESRD cases per million population reached 1,901 [2]. Medical expenditures for patients with ESRD in the United States reached $49.3 billion in 2011, and ESRD patients accounted for 6.3% of total Medicare costs. Most cases of ESRD are complicated, with various comorbidities, and are associated with poor health outcomes. In the United States, ESRD patients were reported to have a residual life expectancy of 6.2 years [2]. According to two large population cohort studies in Canada and Taiwan, patients aged 55 years with stage 5 CKD or who were on dialysis had life expectancies of 5.6 and 12.0 years and cardiovascular mortality rates of 58% and 71%, respectively [3]–[5]. Adequate dialysis therapy can relieve the burden of painful uremic symptoms and improve overall survival [6]–[8]. Therefore, it is important to initiate dialysis therapy at the appropriate time to prevent fatal uremic complications and improve patient survival.

However, controversy persists regarding the optimal timing for dialysis initiation. There is a conventional belief that delaying dialysis until the patient's eGFR falls below 6 ml/min/1.73 m2 was potentially dangerous and that starting dialysis early could improve the nutritional status and survival of ESRD patients through increased uremic solute clearance, particularly in patients with diabetes or high comorbidities [9]. According to data from the United States Renal Data System (USRDS), the proportion of patients who started dialysis at an eGFR greater than 10 ml/min/1.73 m2 had been steadily increasing up to 2009, reaching 54% of the patient population [10]. However, several observational and meta-analysis studies reported that early initiation of dialysis is associated with certain harmful clinical outcomes [11]–[14]. To date, there has been only one prospective, randomized, controlled study (the Initiating Dialysis Early and Late Trial; IDEAL study) on dialysis initiation time and patient survival. This study reported that planned early initiation of dialysis was not associated with improvements in either survival or clinical outcomes [15]. Recent guidelines reflecting the results of the IDEAL study emphasize that the eGFR, based on serum creatinine levels, should not be the only factor used to guide dialysis initiation time and recommend that dialysis should be preferentially deferred until the development of uremic symptoms or complications [16]–[18].

Clinical outcomes and mortality rates among patients initiating dialysis are known to differ according to the demographic characteristics of race or ethnicity [19]. Asian advanced CKD patients have lower mortality and cardiovascular morbidity than Caucasians despite a faster decline in GFR and a higher incidence of renal replacement therapy [20]–[22]. However, clinical evidence on dialysis initiation time and associated clinical outcomes is insufficient among non-Caucasian populations. Although there are a few retrospective, observational studies on dialysis initiation timing among Asian ESRD patients [23]–[27], single-center designs and/or insufficient adjustments in multivariate analyses attributable to limited data collection from retrospective designs make the results of these studies difficult to generalize to all populations. In the IDEAL study, most of the patients (70%) enrolled were Caucasian, and only 9.2% were Asian. Here, we aimed to compare the survival and other clinical outcomes of patients starting dialysis for ESRD according to initiation time in a Korean prospective cohort study using propensity score-matching analysis.

Methods

Study Participants

We enrolled adult patients (≥20 years old) who were started on maintenance dialysis for ESRD between August 2008 and March 2013 through an ongoing cohort study (Clinical Research Center for End Stage Renal Disease, CRC for ESRD) in South Korea. The CRC for ESRD is a nationwide, multi-center, web-based, prospective cohort of CKD patients who have started dialysis (clinicaltrial.gov NCT00931970) [28]. The CRC for ESRD cohort began to register ESRD patients on dialysis in July 2008, and 31 hospitals in South Korea are currently participating. All of the patients were informed about the study and participated voluntarily with written consent. The study was approved by the institutional review board at each center. [The Catholic University of Korea, Bucheon St. Mary's Hospital; The Catholic University of Korea, Incheon St. Mary's Hospital; The Catholic University of Korea, Seoul St. Mary's Hospital; The Catholic University of Korea, St. Mary's Hospital; The Catholic University of Korea, St. Vincent's Hospital; The Catholic University of Korea, Uijeongbu St. Mary's Hospital; Cheju Halla General Hospital; Chonbuk National University Hospital; Chonnam National University Hospital; Chung-Ang University Medical Center; Chungbuk National University Hospital; Chungnam National University Hospital; Dong-A University Medical Center; Ewha Womans University Medical Center; Fatima Hospital; Gachon Medical School Gil Medical Center; Inje University Busan Paik Hospital; Kyungpook National University Hospital; Kwandong University College of Medicine, Myongji Hospital; National Health Insurance Corporation Ilsan Hospital; National Medical Center; Busan National University Hospital; Samsung Medical Center; Seoul National University Boramae Medical Center; Seoul National University Hospital; Seoul National University, Bundang Hospital; Yeungnam University Medical Center; Yonsei University, Severance Hospital; Yonsei University, Gangnam Severance Hospital; Ulsan University Hospital; Wonju Christian Hospital (in alphabetical order)]. All of the investigators conducted this study in accordance with the guidelines of the 2008 Declaration of Helsinki.

After the last enrollments in March 2013, participants were followed until October 2013 to observe at least 6-month mortality and clinical outcomes. Patients whose creatinine levels were missing at the time of dialysis initiation were excluded. Patients were categorized into the early-start group or the late-start group according to whether their eGFR was greater or less than the mean eGFR value at the start of dialysis. The eGFR was calculated using CKD-Epidemiology Collaboration (CKD-EPI) equations [29]. The modified Charlson co-morbidity index (mCCI) was calculated for each patient at the initiation of dialysis. The mCCI was developed to predict one-year mortality, and it has been validated in ESRD patients [30], [31].

Clinical Outcomes

The primary outcome was all-cause mortality after the start of dialysis. The secondary outcomes included first hospitalization, cardiovascular events, changes in dialysis modality, vascular complications in hemodialysis patients, and peritonitis in peritoneal dialysis patients. Hospitalization was defined as admission for at least 24 hours, excluding diagnostic work-ups for transplantation. Cardiovascular events included clinical events requiring admission for ischemic heart disease, congestive heart failure, arrhythmia, or cerebrovascular disease. Changes in dialysis modality included shift from hemodialysis to peritoneal dialysis or vice versa. Vascular complications included vascular events requiring angioplasty, surgical intervention, or changes in vascular catheters for hemodialysis. Peritonitis was defined as the presence of the following conditions: 1) signs and symptoms of peritoneal inflammation; and 2) a peritoneal effluent white blood cell count greater than 100 cells/mm3 and a neutrophil percentage greater than 50%.

Statistical Analysis

The propensity scores, which were calculated from the logistic regression models, represent the probability of being assigned to either an early or a late dialysis initiation. Through the matching procedure for propensity scores, the early- and late-start groups showed similar distributions of propensity scores, indicating that the differences in covariates between the two groups were minimized. We matched propensity scores one by one using nearest neighbor methods, no replacement, and 0.2 caliper width. The characteristics of both the early- and late-start groups were compared before and after propensity score matching.

Continuous variables are expressed as the mean and standard deviation, and categorical variables are presented as frequencies with percentages. Continuous variables were compared using a t-test, and categorical variables were compared using the Chi-square test or Fisher's exact tests. Survival was compared using Kaplan-Meier curve and log-rank test. IBM SPSS software (version 21.0) was used in all descriptive and survival analysis, and R software (version 2.14.2) was used in the propensity score matching. A two-tailed P value <0.05 was considered statistically significant.

Results

Patient Characteristics

Initially, among the 4770 patients retrieved from the CRC for ESRD database, 2991 dialysis patients who had started dialysis before cohort registration were excluded (Figure 1). In addition, 88 patients without information on serum creatinine levels and/or eGFR at the time of dialysis initiation were excluded from the analysis. Ultimately, a total of 1691 adult patients who started maintenance dialysis for ESRD were enrolled. Patients were classified into the early-start group (eGFR greater than the mean value) or late-start group (eGFR less than the mean value) based on the mean value of eGFR at the start of dialysis, which was 7.372 ml/min/1.73 m2.

Figure 1

Flow chart of study enrollment.

Between August 2008 and March 2013, 1069 dialysis patients with end-stage renal disease were initially enrolled. After propensity score matching, 854 patients remained in the final analysis.

The patients' clinical and laboratory characteristics are compared and summarized in Table 1. The mean age was 56.6±14.3 years old, and 61.4% of the patients were male. Patients with diabetes as a primary cause of renal disease comprised 51.2% of the study population. Most of the patients (71.1%) received hemodialysis as the modality for renal replacement therapy. Before propensity score matching, 1051 patients were in the late-start group, and 640 patients were in the early-start group. Considering all of the participants, the mean eGFR values were 11.2±8.1 ml/min/1.73 m2 in the early-start group and 5.0±1.4 ml/min/1.73 m2 in the late-start group. In the early-start group, the patients were older (58.8±14.4 vs. 55.3±14.0 years old, P<0.001), and diabetic kidney disease (59.7% vs. 46.8%) was more common. A total of 69.6% of the patients in the early-start group received hemodialysis as the first modality of dialysis, whereas 30.4% of the patients started with peritoneal dialysis. The mCCI was higher in the early-start group. Systolic and diastolic blood pressure, serum phosphorus, uric acid, albumin, intact parathyroid hormone (iPTH), and high-sensitive C-reactive protein (hsCRP) levels, use of vitamin D or phosphate binders were lower, and hemoglobin and calcium levels were higher in the early-start group. The adequacy of hemodialysis (single-pool Kt/V) was slightly lower in the early-start group of hemodialysis patients, but the weekly Kt/V of peritoneal dialysis was not different between the two groups.

Table 1

Patient characteristics before and after propensity score matching.

Variables	Before PSM				After PSM
	Late Start (N = 1051)	Early Start (N = 640)	P	Standardized Difference	Late Start (N = 427)	Early Start (N = 427)	P	Standardized Difference
Age (years old)	55.3±14.0	58.8±14.4	<0.001	0.227	57.6±13.1	57.4±14.3	0.853	−0.012
Sex (male)	609 (57.9%)	430 (67.2%)	<0.001	−0.227	264 (61.8%)	272 (63.7%)	0.571	−0.040
Primary renal disease			<0.001	−0.254			0.339	−0.059
Diabetes	488 (46.8%)	377 (59.7%)			240 (56.2%)	244 (57.1%)
Hypertension	187 (17.9%)	83 (13.2%)			57 (13.3%)	68 (15.9%)
Glomerulonephritis	180 (17.3%)	58 (9.2%)			63 (14.8%)	44 (10.3%)
Other	114 (10.9%)	59 (8.4%)			37 (8.7%)	38 (8.9%)
Unknown	74 (7.1%)	54 (8.6%)			30 (7.0%)	33 (7.7%)
Type of dialysis			0.266	0.070			0.653	−0.030
Hemodialysis	758 (72.1%)	444 (69.6%)			298 (69.8%)	304 (71.2%)
Peritoneal dialysis	293 (27.9%)	194 (30.4%)			129 (30.2%)	123 (28.8%)
Systolic BP (mmHg)	142.6±24.1	139.6±22.6	0.015		142.9±23.0	140.3±23.0	0.108
Diastolic BP (mmHg)	78.9±14.8	76.3±13.6	0.001		78.2±14.5	77.4±14.0	0.409
BMI (kg/m2)	23.2±3.5	23.0±3.4	0.380	−0.055	23.2±3.3	23.1±3.5	0.742	−0.023
Charlson comorbidity index	4.69±2.25	5.80±2.66	<0.001	0.402	5.27±2.29	5.32±2.53	0.734	0.021
WBC (/mm3)	5790±3924	5212±3956	0.004	−0.149	5319±3986	5450±3891	0.625	0.033
Hemoglobin (g/dL)	8.7±2.5	9.6±4.7	<0.001	0.178	9.1±3.3	9.2±1.5	0.510	0.023
Calcium (md/dL)	7.7±3.1	8.1±3.0	0.010	0.130	8.1±4.6	8.2±3.6	0.729	0.031
Phosphorus (md/dL)	6.2 ±2.8	4.6±2.6	<0.001	−0.597	4.9±1.3	4.8±1.3	0.209	−0.041
Uric acid (md/dL)	8.8±5.0	7.2±2.6	<0.001	−0.600	7.8 ±2.0	7.7 ±2.6	0.519	−0.040
Albumin (g/dL)	3.4±0.6	3.2±0.6	<0.001	−0.216	3.3±0.6	3.3±0.6	0.481	−0.046
Creatinine (md/dL)	10.45±5.91	5.35±1.35	<0.001		9.19±3.24	5.49±1.26	<0.001
eGFR* (ml/min/1.73 m2)	5.0±1.4	11.2±8.1	<0.001		5.5±1.2	10.4±4.9	<0.001
Ferritn (ng/ml)	308.4 ±500.2	327.6 ±401.0	0.458		281.8±431.0	318.8±372.6	0.222
Cholesterol (mg/dL)	159.5±48.5	155.4±51.6	0.120		158.3 ±48.6	156.4±48.3	0.578
hsCRP (mg/L)	4.0±16.4	6.9±20.5	0.004		5.9±23.5	4.4±12.4	0.261
iPTH (pg/mL)	300.4±255.6	200.0±198.0	<0.001		269.8±228.2	210.3±210.9	0.001
Use of vitamin D	188 (17.9%)	62 (9.7%)	<0.001		67 (15.7%)	44 (10.3%)	0.025
Use of phosphate binders	575 (54.7%)	288 (45.0%)	<0.001		233 (54.6%)	211 (49.4%)	0.212
Single-pool Kt/V†	1.33±0.47	1.24±0.55	0.047		1.33±0.40	1.23±0.59	0.121
Weekly Kt/V‡	2.47±1.02	2.59±1.38	0.735		2.79±1.02	2.83±1.32	0.994

BMI, body mass index; iPTH, intact PTH; PSM, propensity score-matching; WBC, white blood cell count.

*Levels of eGFR were calculated using the CKD-EPI equation.

Single-pool Kt/V was measured in patients with hemodialysis.

Weekly Kt/V was measured in patients with peritoneal dialysis.

Propensity Matching of Cohort

We performed a logistic regression analysis to obtain propensity scores for dialysis initiation timing using the following covariates: age, sex, primary renal disease, type of dialysis, body mass index, mCCI, hemoglobin level, calcium level, phosphorus level, uric acid level, albumin level, and comorbidities. After propensity score matching, 854 patients (427 in each group) remained. The distributions of propensity scores before and after matching are illustrated in Figure 2. In the propensity score-matched participants, almost all of the baseline parameters, including age, sex, primary renal disease, type of dialysis, systolic and diastolic blood pressure, body mass index, mCCI, hemoglobin levels, serum calcium, phosphorus, uric acid, glucose, albumin, hsCRP levels, and adequacy of dialysis (single-pool Kt/V in hemodialysis patients and weekly Kt/V in peritoneal dialysis patients) were similar between the groups. The propensity scores of the matched patients were almost the same between the early- and late-start groups.

Figure 2

Distribution of propensity scores before and after propensity score matching.

The propensity scores of unmatched patients were significantly different between the early- and late-start groups. The propensity scores of matched patients were almost the same between groups.

Survival and Clinical Outcomes

The patients' survival rates are shown in Figure 3. Before propensity score matching, the early-start group had a worse survival rate (P<0.001). Hospitalization (P = 0.195), cardiovascular events (P = 0.352), vascular access complications (P = 0.158), changes in dialysis modality (P = 0.660), and peritonitis (P = 0.833) were not different between the groups (Figure S1). After matching, patient survival, hospitalization, cardiovascular events, vascular access complications, change of dialysis modality, and peritonitis were not different between the groups.

Figure 3

Kaplan-Meier patient survival curve for the timing of dialysis initiation.

(A) Before matching, the patients in the early start group had poor survival. (B) After propensity score matching, patients in the early- and late-start groups showed no differences in survival.

Subgroup analyses of all-cause mortality were performed in the propensity score-matched cohort, and the hazard ratio of starting dialysis early is illustrated in Figure 4 using a Cox proportional analysis. The hazard associated with starting dialysis early was not elevated in any subgroups except patients with diabetes. In patients with diabetes, the hazard associated with an early-start to dialysis was significantly greater (HR 2.024, 95% CI 1.025–3.996).

Figure 4

Hazard ratio (HR) for mortality of early dialysis initiation using a Cox proportional analysis in the propensity score-matched cohort.

The hazard of early dialysis initiation was not elevated in any subgroup except patients with diabetes. In patients with diabetes, the hazard of early dialysis initiation was significantly greater (HR 2.024, 95% CI 1.025–3.996).

The causes of mortality are listed in Table 2. The distributions of the mortality causes were not different before (P = 0.817) and after (P = 0.521) propensity score matching. In propensity score-matched participants, mortality rates from cardiovascular events (P = 0.630), cerebrovascular accidents (P = 0.659), infections (P = 0.783), and malignancies (P = 0.984) were not different between the early- and late-start groups. Cardiovascular events, including acute myocardial infarction, arrhythmia, cardiac arrest, valvular heart disease, and congestive heart failure, were the leading causes of mortality.

Table 2

Causes of patient mortality.

Causes of mortality	All participants (N = 1691)			PS-matched participants (N = 854)
	All participants	Late-start (N = 1051)	Early-start (N = 640)	PS-matched participants	Late-start (N = 427)	Early-start (N = 427)
Cardiovascular events	34 (29.6%)	17 (33.3%)	17 (26.6%)	16 (29.1%)	7 (33.3%)	9 (26.5%)
Cerebrovascular events	7 (6.1%)	2 (3.9%)	5 (7.8%)	5 (9.1%)	2 (9.5%)	3 (8.8%)
Infections	30 (26.1%)	15 (29.4%)	15 (23.4%)	13 (23.6%)	6 (28.6%)	7 (20.6%)
Malignancies	7 (6.1%)	3 (5.9%)	4 (6.3%)	2 (3.6%)	1 (4.8%)	1 (2.9%)
Other	22 (19.1%)	8 (15.7%)	14 (21.9%)	10 (18.2%)	1 (4.8%)	9 (26.5%)
Unknown	15 (13.0%)	6 (11.8%)	9 (14.1%)	9 (16.4%)	4 (19.0%)	5 (14.7%)

Discussion

We evaluated the effects of early dialysis initiation on all-cause mortality and other clinical outcomes using a propensity score-matching analysis in an Asian prospective cohort study. Before matching, the early-start group seemed to have poorer survival than the late-start group. However, after matching, these differences in survival disappeared, and there were no significant differences in all-cause mortality or other clinical outcomes.

Comparing the entire cohort of participants, the early start-group was older than the late-start group. In addition, the proportions of male patients and cases of diabetic kidney disease were greater in the early-start group. The mCCI was also higher in the early-start group. Although systolic and diastolic blood pressure levels were lower and hemoglobin levels were higher in the early-start group, serum albumin levels were lower in the early-start group. In summary, except for residual renal function, the demographic and laboratory parameters were worse in the early-start group. It is possible that the patients in the early-start group initiated dialysis earlier because they had more complications due to ESRD. The high burden of comorbidities in the early-start group might have been the principal cause of poor survival before matching. Indeed, after adjusting for these confounding factors using propensity score-matching methods, survival and clinical outcomes were comparable between groups.

Although the proportion of early dialysis initiation remained stable between 2009 and 2011 in the United States, the percentage of patients who started dialysis early had grown steadily until 2009, up to 54% [10]. A worldwide trend toward early dialysis initiation had been supported by the belief that increased solute clearance could improve patient survival and clinical outcomes. Prolonged uremia can decrease appetite and evoke anorexia, poor oral intake, and malnutrition [32]. Several studies had shown that decreased eGFR values at the time of dialysis initiation were closely associated with poor nutritional status and mortality [33]–[37]. In addition, there had been concern that delaying dialysis might fail to prevent fatal uremic complications, including severe hyperkalemia, uncontrolled hypertension, pulmonary edema, pericarditis, and encephalopathy. In fact, before the IDEAL study, clinical guidelines had permitted early dialysis initiation for an eGFR of over 10 ml/min/1.73 m2 if there were relevant uremic symptoms or evidence of malnutrition [38]–[41]. In the United States, reflecting these guidelines, the mean eGFR at dialysis initiation increased from 8.1 ml/min/1.73 m2 in 1997 to 10.8 ml/min/1.73 m2 in 2007 [42]. However, the association between low eGFR at the time of dialysis initiation and poor survival cannot be used as direct evidence justifying early dialysis initiation. Almost studies reporting the benefit of early dialysis initiation were of a retrospective observational design, and the adjustments made for demographic factors and comorbid conditions were insufficient [33], [34], [43], [44]. In addition, the possibility of lead-time bias in the studies favoring early dialysis initiation should be considered. A survival benefit of early dialysis initiation could result from the statistical misinterpretation of the fact that patients had merely started dialysis early, rather than that they actually lived longer. Korevaar et al. reported that the survival benefit of 2.5 months in the patients with early dialysis initiation was overwhelmed by the effect of delaying dialysis approximately 4.1 months in the patients with late dialysis initiation [45].

Notably, contrary to general expectations, recent observational studies have shown that early dialysis initiation was irrelevant to survival benefits or even associated with poor clinical outcomes [11], [14], [26], [46]–[50]. Starting dialysis early can expose ESRD patients to dialysis-associated complications [51]. The decline in residual renal function can progress at a rapid pace, even after dialysis [52]. Dialysis therapy can also result in protein loss and aggravate nutritional status in ESRD patients [53]. Catheter- or access site-related peritoneal or bloodstream infections are increased in patients undergoing dialysis [54]. These factors can thus collectively contribute to the poor survival and negative clinical outcomes of patients with early dialysis initiation. Although there have been several lines of evidence supporting the harmful effects of early dialysis initiation, there is still a debate as to whether a high eGFR itself is the main cause of poor outcomes in patients with early dialysis initiation. Most eGFR equations are based on serum creatinine levels, so there is a possibility of overestimating the eGFR in cases of low serum creatinine levels due to low muscle mass or fluid overload [55]. Beddhu et al. reported that high eGFR values were closely associated with increased mortality, but high creatinine clearance was not [56]. In addition, survivor bias can overestimate the risk of early dialysis initiation due to the limitations of observational studies. Patients who had died before initiating dialysis were excluded from the analyses of observational studies, and the number of such patients is likely to be higher in the late-start group. Therefore, those who start dialysis later may collectively comprise a healthier group. Crew et al. minimized the lead-time and survivor bias through the enrollment of patients before the initiation of dialysis and analyzed clinical outcomes after the eGFR reached approximately 20 ml/min/1.73 m2. This work demonstrated that patients who initiated dialysis early or late did not exhibit differences in survival [57]. Lastly, patients who had a high burden of uremic symptoms and/or comorbidities are likely to start dialysis earlier. It is known that patients who are older, male, or who had diabetes, low body mass index, high comorbidities with cardiovascular complications, or poor functional status are likely to start dialysis earlier [48], [58]–[60]. These high risk comorbidities and demographic factors can aggravate survival and other clinical outcomes in patients with early dialysis initiation. Several investigations reported that the risk of early dialysis initiation decreased after multivariate adjustments for demographic factors, laboratory data, and comorbidities [46], [48]. Bao et al. investigated that high mortality was closely associated with frailty, including slowness or weakness, exhaustion, and low physical activity and found that the risks associated with early dialysis initiation disappeared after adjustment for frailty [61]. A recent meta-analysis showed that an early start to dialysis was associated with increased mortality and that patients with older age, diabetes, and high comorbidities seemed to start dialysis earlier [12]. The results of our study before matching are similar to the results of these studies. Patients in the early-start group of the present study were older and had more comorbidities, including diabetes. The poor survival of these patients disappeared after matching the covariates.

To date, only one randomized, controlled study has evaluated the association between dialysis initiation time and survival [15]. In the IDEAL study, Cooper et al. allocated ESRD patients to planned dialysis initiation at an eGFR greater than 10 ml/min/1.73 m2 or conventional dialysis initiation at an eGFR less than 7 ml/min/1.73 m2. There were no differences in survival, complications, or quality of life between the two groups. Although the actual difference in eGFR between the two groups was only approximately 2 ml/min/1.73 m2, the patients in the late-start group could begin dialysis approximately 6 months later than those in the early-start group. When the participants in the IDEAL study were analyzed separately by dialysis modality, more adverse events associated with fluids and electrolytes were observed in the late hemodialysis group, and more patients who had been randomized to peritoneal dialysis switched to hemodialysis; however, early dialysis initiation did not provide survival or other clinical benefits [62], [63]. It is difficult to generalize the results of the IDEAL study to all patients preparing for dialysis because the patients enrolled in the IDEAL study were almost all Caucasians and relatively well prepared for ESRD, with low rates of temporary vascular access and a high proportion of peritoneal dialysis. In addition, there was a high incidence of cross-over from the late dialysis group to the early dialysis group. However, the results of the IDEAL study clearly indicate that early dialysis initiation is not unconditionally beneficial for patients with ESRD and that the late initiation strategy can delay dialysis initiation for a proportion of well-prepared patients. The results of our study are consistent with those of the IDEAL study in that neither early nor late initiation of dialysis based on eGFR values was associated with mortality or clinical outcomes. Reflecting the results of recent investigations, newer guidelines recommend delaying dialysis and addressing relevant clinical signs or symptoms rather than instituting dialysis therapy solely based on eGFR values [16]–[18].

This study has several limitations. First, because this study is an observational cohort study beginning at the time of dialysis initiation, the possibility of survivor bias still exists. This factor can favor late dialysis initiation. In addition, because all patients enrolled were Asian, the results of this study cannot easily be generalized to all ESRD patients, as the prognosis and clinical outcomes of ESRD patients are well known to be closely associated with demographic factors and comorbid conditions. However, this study still has an advantage in that it is the only prospective and well-matched cohort study in Asian ESRD patients using propensity score-matching analysis. After matching, almost all variables, including age and comorbidities, became similar between the early- and late-start groups, except for variables associated with residual renal function. Because demographic factors, comorbid conditions, and laboratory parameters converged after matching, the possibility of bias, including lead-time bias, is minimized. In addition, because there was a substantial difference in eGFR between the groups (approximately 5 ml/min/1.73 m2), the effects of early dialysis initiation could be explored with confidence.

We evaluated the effects of dialysis initiation timing based on eGFR on clinical outcomes using propensity score-matching analysis. Early dialysis initiation did not improve patient survival or other clinical outcomes, including hospitalization, cardiovascular events, vascular access complications, changes in dialysis modality, or peritonitis. It is appears that, rather than the eGFR at the initiation timing of dialysis, a patient's health status, including age, sex, physical activity, and comorbidities, has a greater impact on clinical outcomes in patients initiating dialysis. Although the optimal time for dialysis initiation remains controversial, dialysis initiation should not be determined based on eGFR values alone. Residual renal function, comorbidities, and uremic symptoms should be considered before starting dialysis.

Clinical outcomes other than patient survival according to the timing of dialysis initiation before and after propensity score matching. A, B. hospitalization; C, D. cardiovascular events; E, F. dialysis modality change; G, H. vascular access complications in hemodialysis patients; I, J. peritonitis in peritoneal dialysis patients. A, C, E, G, I: before matching; B, D, F, H, J: after matching.

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