Literature DB >> 29318218

Potential Benefit Associated With Delaying Initiation of Hemodialysis in a Japanese Cohort.

Satoshi Higuchi1, Izaya Nakaya1, Kazuhiro Yoshikawa1, Yoichiro Chikamatsu1, Ken-Ei Sada2, Suguru Yamamoto3, Satoko Takahashi1, Hiroyo Sasaki1, Jun Soma1.   

Abstract

INTRODUCTION: Late referral to a nephrologist, the type of vascular access, nutritional status, and the estimated glomerular filtration rate (eGFR) at the start of hemodialysis (HD) have been reported as independent risk factors of survival for patients who begin HD. The aim of this study was to clarify the influence of the HD-free interval from the time of an eGFR of 10 ml/min per 1.73 m2 (IGFR10-HD) on patient outcome.
METHODS: We enrolled 124 patients aged older than 20 years who had HD initiated in a general hospital. The predictive factor was the HD-free IGFR10-HD. The primary outcome was the relationship of the HD-free interval on death or the onset of a cardiovascular event. Survival analysis was performed using the Cox regression model.
RESULTS: The median IGFR10-HD was 159 days (range: 2-1687 days). The median eGFR at the initiation of HD was 5.48 ml/min per 1.73 m2. Sixty-seven of 124 patients (54.0%) reached the primary outcome. Of these, 29 died and 38 experienced a cardiovascular event. In univariate analysis, older age, a history of cardiovascular disease, nephrologic care for <6 months, higher modified Charlson comorbidity index score, poor performance status, temporary catheter, edema, diabetic retinopathy, and nonuse of erythropoiesis-stimulating agent were statistically related to the primary outcome. The unadjusted hazard ratio per log-transformed IGFR10-HD was 0.393 (95% confidence interval [CI]; 0.244-0.635; P < 0.001) and the hazard ratio adjusted for confounding factors was 0.507 (95% CI: 0.267-0.956; P = 0.036). DISCUSSION: A longer HD-free IGFR10-HD was associated with a lower risk of death or a cardiovascular event. The interval could be considered an independent prognostic factor for outcomes in patients on HD.

Entities:  

Keywords:  all-cause mortality; cardiovascular event; estimated glomerular filtration rate; hemodialysis-free interval; nephrology care; performance status

Year:  2017        PMID: 29318218      PMCID: PMC5720530          DOI: 10.1016/j.ekir.2017.01.015

Source DB:  PubMed          Journal:  Kidney Int Rep        ISSN: 2468-0249


Although there has been an international trend to initiate dialysis at higher levels of the estimated glomerular filtration rate (eGFR), the benefit or harm of this trend remains unclear. Moreover, end-stage renal disease (ESRD) from diabetes mellitus and/or hypertension is increasing gradually. These patients have poorer outcomes after beginning dialysis than those with glomerulonephritis in Japan and the United States.1, 2, 3 Predialysis management is crucial because both predialysis treatment and the clinical condition of the patient at the time of dialysis initiation influence prognosis after hemodialysis (HD) initiation. Various clinical parameters before and at the initiation of HD have been reported as independent risk factors for a poor outcome. These include late referral to a nephrologist, type of vascular access, nutritional status, and eGFR at the start of HD.7, 8 Early referral to a nephrologist is reportedly associated with better preparation of vascular access and reduction of mortality of patients on HD.9, 10 Poor nutritional status also predicts a poor outcome for patients on HD. It was believed that the early initiation of HD might decrease uremic complications, improve survival, and decrease complications in patients undergoing HD.11, 12, 13 Hence, some guidelines recommended initiation of dialysis at relatively high levels of eGFR.14, 15 However, recent studies suggested that, with careful management of chronic kidney disease, patients could safely start dialysis at eGFR at <10 ml/min per 1.73 m2.16, 17 A randomized trial that investigated this issue found that waiting until the eGFR was 5.0 to 7.0 ml/min per 1.73 m2 resulted in no worse outcomes than beginning HD earlier did, at an eGFR of 10 to 14 ml/min per 1.73 m2. These results indicated that delaying HD, with a consequent savings in health care costs, would not result in a worse outcome. However, the question remains as to how long it is safe to delay HD while continuing treatment at low renal function, for example, below a threshold of an eGFR of 10 ml/min per 1.73 m2. The aim of this study was to clarify the influence on outcome of the HD-free interval from the point at which the eGFR of 10 ml/min per 1.73 m2 was reached until HD was initiated.

Materials and Methods

Ethics

This study was approved by the ethics committee of Iwate Prefectural Central Hospital and was conducted in accordance with the ethical principles of the Declaration of Helsinki. We did not obtain written informed consent from the patients because the ethical guidelines for epidemiological research in Japan do not require consent for a retrospective study in which only medical records are used.

Patients

We reviewed the records of 238 patients seen at Iwate Prefectural Central Hospital, a tertiary acute care general hospital, between April 2006 and March 2011 who were older than 20 years of age and had started maintenance dialysis for the treatment of ESRD. Records were excluded if the patients had a history of HD (n = 1), underwent peritoneal dialysis (n = 11), had renal transplantation within 1 year of beginning HD (n = 1), required dialysis because of acute kidney injury (primarily secondary to postoperative complications, sequelae of cardiovascular events, or multiple organ failure) (n = 28), started HD at an eGFR >10 ml/min per 1.73 m2 (n = 9), or those whose HD-free interval from an eGFR of 10 m/min per 1.73 m2 (IGFR10-HD) could not be confirmed (n = 93), who stopped HD within a year after starting (n = 2), who died in hospital after the initiation of HD (n = 12), or whose outcomes could not be obtained from their maintenance dialysis facilities (n = 2). This left 124 patients whose records were included in this study. Data from all the patients analyzed in this investigation were also included in a recent multicenter study concerning 1-year mortality after HD initiation. Renal function was evaluated by eGFR using the following equation developed for Japanese patients: eGFR (ml/min per 1.73 m2) = 194 × serum creatinine−1.094 × age−0.287(× 0.739, if female).

Predictive Factors

We estimated the point at which each patient reached an eGFR of 10 ml/min per 1.73 m2 based on the latest point in the record that was closest (either more or less than) to that value. We presumed that eGFR declined linearly around that value. When an eGFR improved in reverse, the last point on the decline was selected. We calculated the HD-free interval as the time from an eGFR of 10 ml/min per 1.73 m2 to the initiation of HD (IGFR10-HD). We also calculated the rate of eGFR decline by subtracting the final predialysis eGFR from the initial eGFR divided by the time interval.

Clinical Parameters

Clinical data at the initiation of HD were obtained from medical records, including age, sex, body mass index (BMI), history of smoking, history of cardiovascular disease (CVD), medical care by nephrologists for >6 months, causes of chronic kidney disease, systolic blood pressure (SBP), diastolic blood pressure (DBP), modified Charlson comorbidity index (CCI), World Health Organization Performance Status (PS), laboratory data (eGFR, urea nitrogen, hemoglobin, serum albumin, sodium, potassium, calcium, phosphorus, and C-reactive protein [CRP]), type of vascular access, symptoms related to the progression of kidney disease (fatigue; peripheral and pulmonary edema; digestive symptoms such as nausea, anorexia, diarrhea, and constipation; hypertension; peripheral neuropathy; psychiatric disorder; hemorrhagic diathesis; diabetic retinopathy; and pruritus), and medication history.

Outcome

The primary outcome was the combination of all-cause death and cardiovascular events, including heart failure, myocardial infarction, percutaneous coronary intervention, coronary artery bypass grafting, operation for valve diseases, aortic disease, percutaneous transluminal angioplasty or limb amputation due to arteriosclerosis obliterans, or cerebrovascular disease. We obtained information on patient outcomes from maintenance dialysis facilities via a letter.

Statistical Analysis and Handling of Missing Data

We calculated the survival rate for the primary outcome with the Kaplan-Meier method and obtained hazard ratios (HRs) for each clinical parameter by the Cox proportional hazard model. Clinical parameters are shown as median (25th–75th percentiles) or percentage, as appropriate. Coefficients were calculated by Pearson and Spearman correlation methods. Values were missing for 5 parameters: albumin in 22.6% (28 of 124 patients), CRP in 21.0% (26 of 124 patients), phosphorus in 6.5% (7 of 124 patients), calcium in 5.6% (6 of 124 patients), and BMI in 1.6% (2 of 124 patients). HRs for these in univariate models were estimated after 5 imputations using multiple imputations with chained equations.18, 22 We did not use these parameters as covariates in multivariate models because none had statistical significance in the univariate models. Statistical analyses were performed using STATA version 13.1 (Stata Corp., College Station, Texas). R > 0.20 and P < 0.05 were considered statistically significant.

Results

Patient Characteristics

The mean follow-up period from the initiation of HD was 882 days (range: 6–2510 days). The baseline characteristics are shown in Table 1. Median age was 67 years, and 37 patients (29.8%) were women. Fifty-three patients (42.7%) had a history of CVD, and 88 (71.0%) received nephrology care for >6 months before the initiation of HD. Fifty-seven patients (46.0%) had diabetic nephropathy, 23 (18.6%) had chronic glomerulonephritis, 23 (18.6%) had hypertensive nephrosclerosis, and 21 (16.9%) had other kidney diseases. The median SBP and DBP were 156 and 82 mm Hg, respectively. The median eGFR, hemoglobin level, and albumin levels were 5.48 ml/min per 1.73 m2, 8.2 g/dl, and 3.3 g/dl, respectively. Eighty-five patients (68.6%) started HD with an arteriovenous fistula (AVF), and 39 (31.4%) began HD with a temporary catheter. The number of patients with a modified CCI of 0, 1 to 2, and >3 points was 58 (46.8%), 58 (46.8%), and 8 (6.5%), respectively. The number of patients with PS grades of 0, 1, 2, 3, and 4 was 7 (5.7%), 52 (41.9%), 30 (24.2%), 22 (17.7%), and 13 (10.5%), respectively. The number of patients treated with an erythropoiesis-stimulating agent (ESA), activated vitamin D3, and angiotensin-converting enzyme inhibitor and/or angiotensin II receptor blocker was 106 (85.5%), 4 (3.2%), and 93 (75.0%), respectively.
Table 1

Candidate predictors and outcome variables

VariablesNumber missingAnalysis cohortEvent occurredEvent-free
(n = 124)(n = 67)(n = 57)
Age, yr067 (58–76)69 (60–77)64 (48–74)
Female sex, %029.831.428.1
Body mass index, kg/m2222.4 (20.8–26.5)23.3 (20.9–25.6)23.7 (20.4–26.5)
Current and past smoking, %047.652.242.1
History of CVD, %042.752.231.6
Nephrology care >6 mo, %071.059.784.2
Primary kidney disease0
 Diabetic nephropathy, %46.053.736.8
 Chronic glomerulonephritis, %18.614.922.8
 Hypertensive nephrosclerosis, %18.617.919.3
 Other kidney disease, %16.913.421.0
Systolic blood pressure, mm Hg0156 (140−178)161 (144−184)152 (137−166)
Diastolic blood pressure, mm Hg082 (71−93)82 (72−94)81 (69−89)
Systolic blood pressure >160 mm Hg, %042.750.833.3
eGFR, ml/min per 1.73 m205.48 (4.74–6.80)5.54 (4.77–7.10)5.40 (4.51–6.53)
Urea nitrogen, mg/dl089.7 (73.6–102.8)86.0 (73.0–98.5)93 (75.3–104.1)
Hemoglobin, g/dl08.2 (7.1–9.3)8.3 (7.1–9.2)8.2 (7.1–9.3)
Serum albumin, g/dl283.3 (2.8–3.8)3.2 (2.7–3.7)3.6 (2.9–3.8)
Serum sodium, mEq/L0139 (136−141)139 (136−141)139 (138−140)
Serum potassium, mEq/L04.7 (4.2–5.3)4.8 (4.3–5.4)4.7 (4.1–5.3)
Serum calcium, mg/dl67.9 (7.4–8.3)7.8 (7.1–8.1)8.0 (7.6–8.4)
Serum phosphorus, mg/dl75.7 (4.7–6.5)5.7 (4.6–6.8)5.7 (4.8–6.4)
C-reactive protein, mg/dl260.32 (0.13–1.89)0.42 (0.21–2.11)0.21 (0.08–0.9)
Interval eGFR10-HD, d0159 (74−345)109 (56−286)263 (121−447)
eGFR rate of decline, mL/min/1.73 m2 per year08.6 (4.7−17.3)13.7 (5.3−23.6)7.1 (3.7−10.9)
Modified Charlson Comorbidity Indexa0
 0/1–2 /≥3, %46.8/46.8/6.534.3/58.2/7.561.4/33.3/5.3
Performance status0
 0/1/2/3/4, %5.7/41.9/24.2/17.7/10.54.5/31.3/25.4/23.9/14.97.0/54.4/22.8/10.5/5.3
Vascular access0
 Arteriovenous fistula, %68.656.782.5
 Temporally catheter, %31.443.317.5
Fatigue, %071.076.164.9
Edema, %071.079.161.4
Pulmonary edema, %031.538.822.8
Nausea, %037.134.340.4
Dysorexia, %039.555.266.7
Diarrhea, %05.77.53.5
Constipation, %03.23.03.5
Other digestive symptom, %00.80.01.8
CNS manifestation, %02.44.50.0
Peripheral nerve abnormalities, %017.722.412.3
Itch, %08.99.08.8
Hemorrhagic diathesis, %03.23.03.5
Diabetic retinopathy, %041.152.228.1
ESA use, %085.577.694.7
ACEI and/or ARB use, %075.070.280.7
Vitamin D use, %03.21.55.3

ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CNS, central nervous system; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; ESA, erythropoiesis-stimulating agent; HD, hemodialysis.

Continuous variables represented as median with interquartile range in parentheses.

Items related to diabetes and renal disease were excluded from the original Charlson Comorbidity Index in the present study.

Candidate predictors and outcome variables ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CNS, central nervous system; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; ESA, erythropoiesis-stimulating agent; HD, hemodialysis. Continuous variables represented as median with interquartile range in parentheses. Items related to diabetes and renal disease were excluded from the original Charlson Comorbidity Index in the present study.

HD-Free Interval From an eGFR of 10 ml/min per 1.73 m2 and Rate of eGFR Decline During the Interval

The median IGFR10-HD was 159 days (range: 2–1687 days). That distribution is shown in a histogram (Figure 1a). We performed logarithmic (log) transformation to conform it to a normal distribution (Figure 1b). The median rate of eGFR decline was 8.6 ml/min per 1.73 m2 per year. That distribution is shown in a histogram (Figure 1c). We performed log transformation to conform it to a normal distribution (Figure 1d).
Figure 1

(a) Histogram of interval from the time of an eGFR of 10 ml/min per 1.73 m2 (IGFR10-HD). The median IGFR10-HD was 159 days (range: 2–1687 days). (b) Histogram of logarithmic IGFR10-HD. We performed logarithmic transformation to conform to a normal distribution. (c) Histogram of estimated glomerular filtration rate (eGFR) of decline. (d) Histogram of logarithmic eGFR of decline.

(a) Histogram of interval from the time of an eGFR of 10 ml/min per 1.73 m2 (IGFR10-HD). The median IGFR10-HD was 159 days (range: 2–1687 days). (b) Histogram of logarithmic IGFR10-HD. We performed logarithmic transformation to conform to a normal distribution. (c) Histogram of estimated glomerular filtration rate (eGFR) of decline. (d) Histogram of logarithmic eGFR of decline.

Correlation of HD-Free Interval With Other Variables

eGFR at the time of HD initiation and the rate of eGFR decline from an eGFR of 10 ml/min per 1.73 m2 showed a strong negative correlation with the interval (Table 2 and Figure 2) (R = −0.643 and −0.866, respectively). Serum albumin (R = 0.511) and potassium (R = 0.329) were positively correlated with the interval (Table 2). Sex (R = 0.228), nephrology care for >6 months (R = 0.400), AVF (R = 0.495), and ESA use (R = 0.252) were positively correlated with the interval, whereas smoking (R = −0.273), diabetic nephropathy (R = −0.352), PS (R = −0.425), pulmonary edema (R = −0.338), and diabetic retinopathy (R = −0.308) were negatively correlated with the interval according to Spearman's method (Table 2). Correlations between rates of eGFR decline and other clinical parameters were similar to those for the HD-free IGFR10-HD (data not shown).
Table 2

Coefficient with log-transformed interval from the time of an estimated glomerular filtration rate of 10 ml/min per 1.73 m2

CharacteristicsNumber missingPearson's coefficientSpearman's coefficient
Age00.143
Sex (female)00.228
Body mass index, kg/m22−0.173
Current and past smoking0−0.273
Nephrology care >6 mo00.400
History of CVD0−0.135
Primary kidney disease
 Diabetic nephropathy0−0.352
 Chronic glomerulonephritis00.167
 Hypertensive nephropathy00.118
 Others00.172
Systolic blood pressure ≥160 mm Hg00.009
eGFR, ml/min per 1.73 m20−0.643
eGFR rate of decline, ml/min/1.73 m2 per year (log)0−0.866
Hemoglobin, g/dl0−0.031
Serum albumin, g/dl280.511
Serum sodium, mEq/L00.329
Serum potassium, mEq/L00.008
Serum calcium, mg/dl60.197
Serum phosphorus, mg/d;7−0.095
C-reactive protein, mg/dl (log)26−0.125
Modified Charlson Comorbidity Indexa0−0.072
Performance status0−0.425
Vascular access (arteriovenous fistula)00.495
Fatigue0−0.07
Edema0−0.192
Pulmonary edema0−0.338
Nausea0−0.124
Dysorexia0−0.126
Diarrhea0−0.163
Constipation00.000
Peripheral nerve abnormalities0−0.139
Itch00.018
Hemorrhagic diathesis00.063
Diabetic retinopathy0−0.308
ESA use00.252
ACEI and/or ARB use00.128
Vitamin D use00.087

The underlined coefficients were more than 0.20.

ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; ESA, erythropoiesis-stimulating agent.

Items related to diabetes and renal disease were excluded from the original Charlson Comorbidity Index in the present study.

Figure 2

Scatterplots of estimated glomerular filtration rate (eGFR), logarithmic interval from the time of an eGFR of 10 ml/min per 1.73 m2 (IGFR10-HD), and logarithmic eGFR rate of decline. eGFR and the rate of eGFR decline from an eGFR of 10 ml/min per 1.73 m2 showed strong negative correlation with logarithmic IGFR10-HD (R = −0.643 and −0.866, respectively).

Scatterplots of estimated glomerular filtration rate (eGFR), logarithmic interval from the time of an eGFR of 10 ml/min per 1.73 m2 (IGFR10-HD), and logarithmic eGFR rate of decline. eGFR and the rate of eGFR decline from an eGFR of 10 ml/min per 1.73 m2 showed strong negative correlation with logarithmic IGFR10-HD (R = −0.643 and −0.866, respectively). Coefficient with log-transformed interval from the time of an estimated glomerular filtration rate of 10 ml/min per 1.73 m2 The underlined coefficients were more than 0.20. ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; ESA, erythropoiesis-stimulating agent. Items related to diabetes and renal disease were excluded from the original Charlson Comorbidity Index in the present study.

Outcome and Survival Rate

Sixty-seven of 124 patients (54%) reached the primary outcome. Of these, 29 died, and 38 experienced cardiovascular events. Causes of death included cancer in 8 patients (28%), infectious disease in 4 (14%), heart failure in 3 (10%), stroke in 2 (7%), other diseases in 9 (31%), and unknown reasons in 3 (10%). Of the 38 cardiovascular events, heart failure occurred in 20 patients (53%), cerebrovascular disease in 7 (18%), acute myocardial infarction in 4 (11%), percutaneous coronary intervention in 4 (11%), and aortic disease in 3 (7%). The outcome-free survival rates at 1, 3, and 5 years for all patients were 0.73, 0.53, and 0.35, respectively (Figure 3).
Figure 3

Survival curve for the primary outcome of death or cardiovascular events after beginning hemodialysis. The outcome-free survival at 1, 3, and 5 years for all patients was 0.73, 0.53, and 0.35, respectively.

Survival curve for the primary outcome of death or cardiovascular events after beginning hemodialysis. The outcome-free survival at 1, 3, and 5 years for all patients was 0.73, 0.53, and 0.35, respectively.

HRs on Univariate and Multivariate Analysis

On univariate analysis, age, history of CVD, medical care by nephrologists for >6 months, modified CCI, PS, AVF, edema, diabetic retinopathy, and ESA use were found to be statistically related to HRs for the primary outcome (Table 3). SBP >160 mm Hg, serum albumin, log CRP, pulmonary edema, peripheral nerve abnormalities, and angiotensin-converting enzyme inhibitor and/or angiotensin receptor blocker use tended to be related to the primary outcome (Table 3). HRs for central nervous system manifestations and digestive symptoms could not be calculated because there were no observations in either the event-free group or in the group in which events occurred.
Table 3

Hazard ratio by univariate survival analysis

CharacteristicsHazard ratio95% confidence intervalP value
Age (per 1 yr)1.0281.008−1.0480.007a
Sex (female)0.8170.484−1.3780.448
Body mass index (per 1 kg/m2)0.9870.936−1.0400.623
Current and past smoking1.2890.797−2.0840.301
Nephrology care >6 mo0.4050.248−0.662<0.00a
History of CVD1.9691.216−3.1880.006a
Primary kidney disease
 Diabetic nephropathy1.4010.865−2.2700.171
 Chronic glomerulonephritis0.6840.348−1.3410.269
 Hypertensive nephropathy0.8980.513−1.7960.898
 Others0.8330.412−1.6840.611
Systolic blood pressure ≥160 mm Hg1.6090.995−2.6020.052
eGFR (per 1 ml/min per 1.73 m2)1.0920.937−1.2720.260
Hemoglobin (per 1 g/dl)1.0810.911−1.2820.374
Serum albumin, g/d; (per 1 g/dl)0.7510.560−1.0080.056
Serum sodium, mEq/L (per 1mEq/L)0.9640.923−1.0080.139
Serum potassium, mEq/L (per 1 mEq/L)0.9580.715−1.2830.773
Serum calcium, mg/dl (per 1 mg/dl)0.9410.689−1.2860.703
Serum phosphorus, mg/dL (per 1 mg/dl)1.0230.887−1.1810.747
C-reactive protein, mg/dl (log)1.3020.981−1.7290.068
Modified Charlson Comorbidity Indexb (vs. 0)
 1−22.3251.385−3.9020.001a
 ≥32.2500.851−5.9460.102
Performance status (per 1)1.5491.252−1.916<0.001a
Vascular access (vs. temporaly catheter)
 Arteriovenous fistula0.4540.28−0.7380.001a
Fatigue1.5590.886−2.7430.124
Edema1.9551.081−3.5370.027a
Pulmonary edema1.5190.929−2.4860.096
Nausea1.0290.620−1.7080.912
Dysorexia0.8810.543−1.4270.606
Diarrhea1.6030.643−3.9960.311
Constipation0.6910.169−2.8290.608
Peripheral nerve abnormalities1.7010.957−3.0230.070
Itch0.8730.377−2.0210.751
Hemorrhagic diathesis1.0040.245−4.1170.996
Diabetic retinopathy1.7411.078−2.8140.023a
ESA use0.4630.260−0.8230.009a
ACEI and/or ARB use0.6140.364−1.0390.069
Vitamin D use0.3540.049−2.5500.302

ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; ESA, erythropoiesis-stimulating agent.

P < 0.05.

Items related to diabetes and renal disease were excluded from the original Charlson Comorbidity Index in the present study.

Hazard ratio by univariate survival analysis ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; ESA, erythropoiesis-stimulating agent. P < 0.05. Items related to diabetes and renal disease were excluded from the original Charlson Comorbidity Index in the present study. The unadjusted HR of log IGFR10-HD and log eGFR rate of decline were 0.393 (95% confidence interval [CI]: 0.244−0.635; P < 0.001) and 3.926 (95% CI: 2.128−7.245; P < 0.001), respectively. We adjusted these statistics in model 1, age and sex; model 2, model 1 plus nephrologist care for >6 months, PS, and AVF; and model 3, model 2 plus diabetic retinopathy and ESA use. Except for age and sex, we selected those parameters as confounding factors that were associated with both the predictive factors and the primary outcome. In models 1, 2, and 3, the HRs of log IGFR10-HD changed to 0.327 (P < 0.001), 0.471 (P = 0.013), and 0.507 (P = 0.036), respectively (Table 4). In models 1, 2, and 3, the HRs of log eGFR rate of decline changed to 5.117 (P < 0.001), 3.340 (P = 0.003), and 3.028 (P = 0.008), respectively (Table 5). In model 3 of log IGFR10-HD, age (HR: 1.039; 95% CI: 1.015–1.064; P = 0.002), nephrology care >6 months (HR: 0.510; 95% CI: 0.282–0.925; P = 0.027), and PS (HR: 1.316; 95% CI: 1.003–1.728; P = 0.048) remained as independent risk factors. Similarly, in model 3 of eGFR rate of decline, age (HR: 1.038; 95% CI: 1.014–1.061; P = 0.001) and PS (HR: 1.375; 95% CI: 1.040–1.818; P = 0.025) remained as independent risk factors.
Table 4

Hazard ratio of logarithmic interval from the time of an estimated glomerular filtration rate of 10 ml/min per 1.73 m2 by multivariate survival analysis

CharacteristicsHazard ratio95% confidence intervalP value
Model 00.3930.244−0.635<0.001a
Unadjusted
 Model 10.3270.204−0.523<0.001a
Adjusted for age and sex
 Model 20.4710.259−0.8550.013a
Adjusted for Model 1 plus nephrology care >6 mo, PS, and AVF
 Model 30.5070.269−0.9560.036a
Adjusted for Model 2 plus diabetic retinopathy and ESA use

AVF, arteriovenous fistula; ESA, erythropoiesis-stimulating agent; PS, performance status.

P < 0.05.

Table 5

Hazard ratio of logarithmic estimated glomerular filtration rate rate of decline by multivariate survival analysis

CharacteristicsHazard ratio95% confidence intervalP value
Model 03.9262.128−7.245<0.001a
Unadjusted
 Model 15.1172.638−9.925<0.001a
Adjusted for age and sex
 Model 23.3401.494−7.4680.003a
Adjusted for Model 1 plus nephrology care >6 mo, PS and AVF
 Model 33.0281.339−6.8480.008a
Adjusted for Model 2 plus diabetic retinopathy and ESA use

AVF, arteriovenous fistula; ESA, erythropoiesis-stimulating agent; PS, performance status.

P < 0.05.

Hazard ratio of logarithmic interval from the time of an estimated glomerular filtration rate of 10 ml/min per 1.73 m2 by multivariate survival analysis AVF, arteriovenous fistula; ESA, erythropoiesis-stimulating agent; PS, performance status. P < 0.05. Hazard ratio of logarithmic estimated glomerular filtration rate rate of decline by multivariate survival analysis AVF, arteriovenous fistula; ESA, erythropoiesis-stimulating agent; PS, performance status. P < 0.05.

Discussion

This study showed a longer HD-free interval from the point at which a patient’s eGFR reached 10 ml/min per 1.73 m2 was significantly correlated with a lower risk of all-cause death and cardiovascular events in patients once they started HD. This was the first report that this interval could be considered to be an independent prognostic factor for such patients. In addition, our findings might enable us to estimate the prognosis of patients based on short-term observation before HD is initiated. Many studies worldwide focused on the ideal timing of HD initiation, especially in terms of the appropriate eGFR at which to begin dialysis. In the 1990s, early initiation of HD was recommended and believed to decrease mortality, hospitalization, and costs of treatment.23, 24 However, since the 2000s, several investigators commented on findings that early initiation of HD at a higher eGFR increased mortality.25, 26 The previous studies recommending early initiation were all nonrandomized and subject to potential confounding factors. When a randomized controlled trial was conducted that accounted for confounding factors, including biases related to referral time, lead time, and patient selection, planned early initiation of dialysis was found not to be associated with an improvement in survival or clinical outcome. In addition to the issue of the timing of HD initiation, it was reported that the rate of eGFR decline before initiating HD was associated with all-cause mortality after beginning HD.27, 28 However, to date, from what point the rate of decline might be important is uncertain. The HD-free IGFR10-HD was related to already known risk factors for patients on HD, such as nephrology care, diabetic nephropathy, eGFR at HD initiation, serum albumin, PS, vascular access, and ESA use. Hsu et al. reported that there were differences between patients with abrupt and nonabrupt eGFR decline in terms of nephrology care, eGFR at HD initiation, serum albumin, cause of ESRD, and vascular access. Of these, nephrology care before HD initiation was considered to be important, especially in older adults.29, 30 However, at which level of eGFR physicians should refer patients to nephrologists is yet to be completely elucidated. According to the Japanese dialysis initiation survey, nephrology care for ≥6 months predialysis significantly reduced the risk of 1-year mortality after HD initiation. It was reported that a higher rate of using specialized medications (e.g., ESA and sodium hydrogen carbonate) in patients who received early nephrology care might be a reason for this better outcome.4, 29, 31 In the present study, nephrology care >6 months remained a strong and independent prognostic factor in the multivariate model, although most patients in our study received comprehensive treatment in our nephrology division when their eGFR was 10 ml/min per 1.73 m2. The HD-free IGFR10-HD was more sensitive for predicting the prognosis of HD patients than other already known risk factors. This interval correlated well with the eGFR at HD initiation, serum albumin, PS, and vascular access, all of which were reported to influence the prognosis of patients on HD.26, 32 It was possible that these factors were aggregated in the HD-free IGFR10-HD, so that it ended up being an independent prognostic factor. In Japan, a higher mortality was observed in patients with eGFRs >8 and <2 ml/min per 1.73 m2 at HD initiation. The guidelines of the Japanese Society for Dialysis Therapy (JSDT) therefore recommend starting HD when the eGFR is between 2 and 8 ml/min per 1.73 m2, as long as patients have no uremic symptoms or complications, including malnutrition. In this study, eGFR at the initiation of HD was found not to be a prognostic factor. Because most participants initiated HD at the time of recommended eGFR by JSDT (Table 1), we can say, at least, that eGFRs from 2 to 8 ml/min per 1.73 m2 did not influence the prognosis once HD was initiated. In contrast, as noted previously, the rate of eGFR decline before HD initiation was reportedly associated with prognosis.27, 28 The mean levels of eGFR at HD initiation were >10 ml/min per 1.73 m2 in these studies. In the present study, a faster rate of eGFR decline from a level of 10 ml/min per 1.73 m2 had the expected shortening of the time to dialysis initiation. Delaying dialysis might be safe even after eGFR reaches 10 ml/min per 1.73 m2 if a patient does not have a clear indication to start long-term dialysis. There were 3 limitations to the present study. First, this was a retrospective single-center study, and the number of participants was insufficient for multivariate analysis. We could not completely adjust for known prognostic factors. Second, the primary outcome was the composite of all-cause mortality and cardiovascular events. Thirty-eight of 77 patients who reached the primary outcome had CVD, and 20 had heart failure. Therefore, the findings in this study, based on the outcomes we found, might not be generalizable to all patients on HD. Third, it was possible that the HD-free IGFR10-HD was correlated with a high starting eGFR, which might be a confounding issue. However, it was impossible to compare intervals from an eGFR 10 ml/min per 1.73 m2 and from an eGFR >10 ml/min per 1.73 m2 because of the unavailability of data. In conclusion, the present study revealed that the HD-free IGFR10-HD might be an independent prognostic factor for patients on HD and might help in estimating a prognosis. When managing patients with ESRD, we should take this interval into consideration when discussing potential outcomes once HD is initiated.

Disclosure

All the authors declared no competing interests.
  33 in total

1.  Longer duration of predialysis nephrological care is associated with improved long-term survival of dialysis patients.

Authors:  P Jungers; Z A Massy; T Nguyen-Khoa; G Choukroun; C Robino; F Fakhouri; M Touam; A T Nguyen; J P Grünfeld
Journal:  Nephrol Dial Transplant       Date:  2001-12       Impact factor: 5.992

Review 2.  Outcomes of early versus late nephrology referral in chronic kidney disease: a systematic review.

Authors:  Neil A Smart; Thomas T Titus
Journal:  Am J Med       Date:  2011-11       Impact factor: 4.965

3.  Japanese society for dialysis therapy clinical guideline for "hemodialysis initiation for maintenance hemodialysis".

Authors:  Yuzo Watanabe; Kunihiro Yamagata; Shinichi Nishi; Hideki Hirakata; Norio Hanafusa; Chie Saito; Motoshi Hattori; Noritomo Itami; Yasuhiro Komatsu; Yoshindo Kawaguchi; Kazuhiko Tsuruya; Yoshiharu Tsubakihara; Kazuyuki Suzuki; Ken Sakai; Hideki Kawanishi; Daijo Inaguma; Hiroyasu Yamamoto; Yoshiaki Takemoto; Noriko Mori; Kazuyoshi Okada; Hiroshi Hataya; Takashi Akiba; Kunitoshi Iseki; Tadashi Tomo; Ikuto Masakane; Tadao Akizawa; Jun Minakuchi
Journal:  Ther Apher Dial       Date:  2015-03       Impact factor: 1.762

4.  Ideal timing and predialysis nephrology care duration for dialysis initiation: from analysis of Japanese dialysis initiation survey.

Authors:  Kunihiro Yamagata; Shigeru Nakai; Ikuto Masakane; Norio Hanafusa; Kunitoshi Iseki; Yoshiharu Tsubakihara
Journal:  Ther Apher Dial       Date:  2011-11-03       Impact factor: 1.762

5.  Early initiation of dialysis fails to prolong survival in patients with end-stage renal failure.

Authors:  Jamie P Traynor; Keith Simpson; Colin C Geddes; Christopher J Deighan; Jonathan G Fox
Journal:  J Am Soc Nephrol       Date:  2002-08       Impact factor: 10.121

6.  Setting dialysis start at 6.0 ml/min/1.73 m2 eGFR--a study on safety, quality of life and economic impact.

Authors:  Lucia Di Micco; Serena Torraca; Andrea Pota; Daniela Di Giuseppe; Antonio Pisani; Letizia Spinelli; Simona De Portu; Massimo Sabbatini; Lorenzo Mantovani; Bruno Cianciaruso
Journal:  Nephrol Dial Transplant       Date:  2009-06-16       Impact factor: 5.992

Review 7.  Initiation of dialysis at higher GFRs: is the apparent rising tide of early dialysis harmful or helpful?

Authors:  Steven Jay Rosansky; William F Clark; Paul Eggers; Richard J Glassock
Journal:  Kidney Int       Date:  2009-05-20       Impact factor: 10.612

8.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

9.  Risk Score to Predict 1-Year Mortality after Haemodialysis Initiation in Patients with Stage 5 Chronic Kidney Disease under Predialysis Nephrology Care.

Authors:  Toshiki Doi; Suguru Yamamoto; Takatoshi Morinaga; Ken-ei Sada; Noriaki Kurita; Yoshihiro Onishi
Journal:  PLoS One       Date:  2015-06-09       Impact factor: 3.240

10.  Type of arteriovenous vascular access and association with patency and mortality.

Authors:  Gürbey Ocak; Joris I Rotmans; Carla Y Vossen; Frits R Rosendaal; Raymond T Krediet; Elisabeth W Boeschoten; Friedo W Dekker; Marion Verduijn
Journal:  BMC Nephrol       Date:  2013-04-04       Impact factor: 2.388

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