Literature DB >> 28741050

Risk factors for progression of chronic kidney disease in the EPPIC trials and the effect of AST-120.

Gerald Schulman1, Tomas Berl2, Gerald J Beck3, Giuseppe Remuzzi4,5,6, Eberhard Ritz7, Miho Shimizu8, Mami Kikuchi9, Yuko Shobu10.   

Abstract

BACKGROUND: Two randomized, double-blind, placebo-controlled trials (EPPIC-1 and EPPIC-2) investigated the efficacy and safety of AST-120, an oral spherical carbon adsorbent, in adults with chronic kidney disease (CKD). While the benefit of adding AST-120 to standard therapy was not supported by these trials, we performed a post hoc analysis to focus on CKD progression and to determine the risk factors for the primary endpoint in the EPPIC trial population.
METHODS: In the EPPIC trials, patients were randomly assigned 1:1 to treatment with AST-120 or placebo. The primary endpoint was a composite of dialysis initiation, kidney transplantation, or doubling of serum creatinine. The EPPIC trial pooled population was evaluated with the same statistical methods used for analysis of the primary and secondary efficacy endpoints. The trials were registered on ClinicalTrials.gov (NCT00500682 [EPPIC-1] and NCT00501046 [EPPIC-2]).
RESULTS: An analysis of the placebo population suggested baseline urinary protein to urinary creatinine ratio (UP/UCr) ≥1.0 and hematuria were independent risk factors for event occurrence and eGFR lowering. Analysis of the high risk patients revealed a difference in the primary endpoint occurrence between treatment groups, if angiotensin-converting enzyme inhibitors and/or angiotensin receptor blockers were administered (hazard ratio 0.74, 95% confidence interval 0.56-0.96). Also, the eGFR changes from baseline in the AST-120 group were smaller than that in the placebo group (P = 0.035).
CONCLUSIONS: CKD progression may have an association with baseline UP/UCr and hematuria. Treatment with AST-120 may delay the time to the primary endpoint in patients with progressive CKD receiving standard therapy, thus warranting further investigation.

Entities:  

Keywords:  AST-120; CKD; CKD progression; Clinical trial; Spherical carbon adsorbent; Uremic toxins

Mesh:

Substances:

Year:  2017        PMID: 28741050      PMCID: PMC5838144          DOI: 10.1007/s10157-017-1447-0

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN: 1342-1751            Impact factor:   2.801


Introduction

The global increase in the incidence of end stage renal disease (ESRD) is a major issue in health economics presently [1]. Chronic kidney disease (CKD) has been documented as a risk factor for cardiovascular disease [2], and it is widely accepted that CKD can affect a patient’s prognosis in addition to affecting health economics. Recently, it has been established that the prognosis of patients with CKD differs depending on the underlying diseases and the presence of certain factors, highlighting the importance of understanding the progression of CKD. Coresh et al. reported that in their cohort study, ESRD and mortality risks could be predicted by measuring estimated glomerular filtration rate (eGFR) decline over 2 years [3]. AST-120 (Kureha Corporation, Tokyo, Japan) (also known as Kremezin®), an oral spherical carbon adsorbent, was approved in 1991 in Japan for delaying the initiation of dialysis and ameliorating symptoms of uremia in patients with progressive CKD and has been a component of multimodal therapies for CKD [4]. AST-120 has also been approved for use in Korea (2005), Taiwan (2008), and the Philippines (2010). AST-120 reduces the concentrations of indoxyl sulfate (IS), a uremic toxin, which enhances the progression of CKD and may be related to cardiovascular disease, in the systemic circulation. AST-120 lowers IS levels by preventing the absorption of indole, a tryptophan breakdown product and a precursor of IS, from the gastrointestinal tract, which is the presumed mechanism underlying AST-120’s effect of slowing the progression of CKD [5]. Two large, multinational, randomized, placebo-controlled, phase 3 trials [Evaluating Prevention of Progression In Chronic kidney disease (EPPIC-1 and EPPIC-2)] evaluated the efficacy of adding AST-120 to standard therapy in adults with CKD [6]. In both trials, the primary endpoint was a triple composite of time from randomization to renal disease progression, as indicated by initiation of dialysis, kidney transplantation, or doubling of serum creatinine (sCr). The primary analysis of the intent-to-treat (ITT) population for each EPPIC trial showed the percentage of patients reaching the primary endpoint was similar in the AST-120 and the placebo groups [EPPIC-1 35.6 vs 35.3%, respectively; hazard ratio (HR) 1.03, 95% CI 0.84–1.27, P = 0.78] (EPPIC-2 34.4 vs 36.8%, respectively; HR 0.91, 95% CI 0.74–1.12, P = 0.37). The failure to detect a significant difference between the treatment groups in the EPPIC trials may have been due to a longer than expected time to renal disease progression among the placebo-treated patients. The EPPIC pooled placebo analysis revealed that higher urinary protein to urinary creatinine ratio (UP/UCr) and the prevalence of hematuria were key factors for predicting a more rapid eGFR decline [6]. In the present analysis, we used the pooled EPPIC trial data to determine risk factors for both primary endpoint occurrence and depression of renal function, and then investigated if AST-120 had an effect in the sub-populations with those risk factors.

Materials and methods

Details of the EPPIC trials including the patient flow diagram and full materials and methods for the EPPIC trials are published in the Supplemental Materials and Methods for Ref. [6] and Supplement 1.

Study design

The EPPIC trials were conducted between July 2007 and February 2012 at 239 international sites in 13 countries to compare the effects of AST-120 with those of placebo with regard to renal outcomes in patients with moderate-to-severe CKD receiving standard therapy. Patients were randomly assigned 1:1 to receive treatment with 9 g/day AST-120 or placebo. AST-120 (administered as ten 300 mg capsules three times daily) or placebo was administered with meals and at least 1 h after concomitant medication. Phosphate binders could be administered simultaneously with the study medication.

Patients

Eligible patients were aged 18 years or older with moderate-to-severe CKD [defined as sCr level of 2.0–5.0 mg/dL (in male patients) or 1.5–5.0 mg/dL (in female patients) at screening] who were not expected to require dialysis or renal transplantation within 6 months of trial entry and who were expected to survive for 1 year or greater. All patients were required to demonstrate proteinuria or progressive deterioration in renal function based on either UP/UCr ≥0.5 at screening or an increase in sCr level by >10% at the second evaluation conducted 3 months after the screening. If a patient was receiving antihypertensive therapy, treatment must have been stable and must have included either angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEI/ARB) unless contraindicated.

Outcome

The primary endpoint for this analysis was occurrence of any component of the triple composite endpoint: initiation of dialysis, kidney transplantation, or doubling of sCr levels. ESRD was defined as initiation of dialysis or kidney transplantation. One of the secondary endpoints, eGFR, was evaluated in this report. The eGFR was calculated using abbreviated MDRD GFR equation [7]. Change from baseline in eGFR (%) was calculated during the first 96 weeks of treatment to elucidate the degree of renal disease progression.

Statistical analysis

A pooled population of both EPPIC trials was used for all analyses. The univariable and multivariable analyses were applied using the demographic and the baseline clinical characteristic as covariates to find the risk factors for the primary and the secondary endpoints. The Cox proportional hazards regression model and the mixed-effects model were applied for the primary and the secondary endpoints, respectively. For post hoc subgroup analyses, the same statistical methods used for analysis of the primary efficacy endpoint in the EPPIC trials were applied. The primary composite endpoint was analyzed using stratified Cox proportional hazards regression model; covariate adjustments were CKD etiology, baseline sCr level, and region. The Kaplan–Meier (K–M) method and stratified Cox regression analysis were applied to compare time to the onset of primary endpoint between AST-120 and placebo groups. The secondary endpoint, change from baseline in eGFR (%), was analyzed using the mixed-effects model for repeated measures and analysis of covariance (ANCOVA). The effect of AST-120 in the subgroups with factors predicting rapid disease progression was then assessed. Hematuria status was classified as negative, “trace”, +1, +2, and +3, and patients with “trace” levels were included in the hematuria-positive population in this analysis.

Results

Demographic and baseline clinical characteristics of the pooled ITT population from the EPPIC trials are shown in Table 1 and were similar between the AST-120 and placebo treatment groups. The distribution of baseline eGFR classified as <15, 15–20, 20–25, 25–30 and >30(mL/min/1.73 m2), is shown in Fig. 1a. Event rate percent of achieving both the primary endpoint and ESRD were greater in the patients with lower baseline eGFR (Fig. 1b).
Table 1

Demographic and baseline clinical characteristics of the pooled ITT EPPIC population

AST-120, N = 1000Placebo, N = 999 P value
Age, years, mean ± SD55.4 ± 15.355.6 ± 14.80.74
Sex (%)
 Male58.260.30.34
Race (%)
 White80.778.60.57
 Black or African American7.38.9
 Asian4.04.2
 Other8.08.3
CKD etiology (%)
 Diabetic nephropathy40.440.40.98
 Nondiabetic nephropathy59.659.6
  Glomerulonephritis25.228.9
  Nephrosclerosis16.816.4
  Other17.614.2
Use of ACEI or ARB (%)
 Yes84.484.20.89
Baseline sCr, mg/dL, mean ± SD3.07 ± 0.883.14 ± 0.870.08
Baseline eGFR, mL/min/1.73 m2, mean ± SD22.66 ± 7.9322.04 ± 7.230.06
Baseline eGFR, mL/min/1.73 m2 (%)
 ≤1517.416.90.18
 15–2025.427.2
 20–2523.324.3
 25–3015.417.7
 >3018.513.8
CKD stage (%)
 Stage 3a0.80.30.07
 Stage 3b17.713.5
 Stage 464.169.3
 Stage 517.416.9
Baseline UP/UCr ratio
 N 998995
 Mean ± SD1.97 ± 1.332.01 ± 1.340.52
Baseline anemia status (%)
 Yes70.371.10.66
BMI (kg/m2)
 N 998999
 Mean ± SD29.1 ± 6.429.1 ± 7.20.95

Race was self-reported

To convert sCr from mg/dL to mol/L, multiply by 88.4

Anemia was defined as a hemoglobin level <13.5 g/dL (men) or <12.0 g/dL (women)

Body mass index is the weight in kilograms divided by the square of the height in meters

N number of patients in the respective population, SD standard deviation, ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin-II receptor blocker, UP/UCr urinary protein to urinary creatinine ratio, BMI body mass index

Fig. 1

Distribution of baseline eGFR and eGFR change populations (pooled placebo ITT population). a Percentage of patients in terms of baseline eGFR, b event rates and baseline eGFR, c percentage of patients in terms of % change from baseline in eGFR, d event rates and % change from baseline in eGFR. eGFR estimated glomerular filtration rate, ESRD end stage renal disease

Demographic and baseline clinical characteristics of the pooled ITT EPPIC population Race was self-reported To convert sCr from mg/dL to mol/L, multiply by 88.4 Anemia was defined as a hemoglobin level <13.5 g/dL (men) or <12.0 g/dL (women) Body mass index is the weight in kilograms divided by the square of the height in meters N number of patients in the respective population, SD standard deviation, ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin-II receptor blocker, UP/UCr urinary protein to urinary creatinine ratio, BMI body mass index Distribution of baseline eGFR and eGFR change populations (pooled placebo ITT population). a Percentage of patients in terms of baseline eGFR, b event rates and baseline eGFR, c percentage of patients in terms of % change from baseline in eGFR, d event rates and % change from baseline in eGFR. eGFR estimated glomerular filtration rate, ESRD end stage renal disease The distribution of the rate of change (%) in eGFR, classified as <−60, −60 to −40, −40 to −20, −20 to 0 and >0, is shown in Fig. 1c. Most patients experienced eGFR change between −20 and 0%, however, patients in this category had a similar low event rate compared to the population with a change in eGFR >0% (Fig. 1d). Higher event rates were observed in patients with higher percentage of change in eGFR (Fig. 1d). The results of univariable and multivariable analyses of factors associated with the primary endpoint (triple composite of dialysis initiation, kidney transplantation, or doubling of the sCr level) and the secondary endpoint (change from baseline in eGFR %) are shown in Tables 2 and 3, respectively. In the multivariable analysis, sex, UP/UCr, anemia, use of ACEI/ARB, hematuria and systolic blood pressure (SBP), region and baseline sCr level were associated with the primary endpoint (Table 2), and UP/UCr, hematuria and region were associated with eGFR % change (Table 3). We therefore calculated the eGFR decline in the patients with hematuria positive and patients with a baseline UP/UCr ≥1.0. Since region was the stratified factor, analysis by regions was not conducted. eGFR decline in the hematuria-positive placebo-treated patients (N = 343, −7.01 mL/min/1.73 m2/year) was more rapid than in the hematuria-negative placebo-treated patients (N = 655, −3.89 mL/min/1.73 m2/year). Also, eGFR decline in placebo-treated patients with a baseline UP/UCr ≥1.0 (N = 706, −6.22 mL/min/1.73 m2/year) was more rapid than in placebo-treated patients with a baseline UP/UCr <1.0 (N = 289, −1.85 mL/min/1.73 m2/year). These results showed that the common covariates for the primary and secondary endpoints, UP/UCr ≥1.0 and hematuria, were independent risk factors for both ESRD occurrence and rapid disease progression in EPPIC trials.
Table 2

Univariable and multivariable stratified Cox analysis for primary endpoint

Baseline parameters N n Univariable analysisMultivariable analysis P for interaction
HR (95% CI) P valueHR (95% CI) P value
Treatment
 Placebo9993601.001.00
 AST-12010003500.92 (0.80–1.07)0.320.89 (0.77–1.04)0.15
Age, years mean ± SD, 55.5 ± 15.0
 ≤6514235171.001.00
 >655761930.98 (0.83–1.15)0.821.02 (0.86–1.22)0.770.68
Sex
 Female8152771.001.00
 Male11844331.08 (0.93–1.26)0.270.83 (0.71–0.97)0.020.28
Race
 White15925611.001.00
 Others4071491.12 (0.93–1.34)0.210.84 (0.68–1.03)0.100.61
UP/Ucr mean ± SD, 1.99 ± 1.33
 <1.05721061.001.00
 ≥1.014216032.97 (2.41–3.65)<0.012.62 (2.12–3.24)<0.010.12
Anemia
 Positive14025801.001.00
 Negative5811240.41 (0.34–0.50)<0.010.57 (0.46–0.70)<0.010.36
Use of ACEI/ARB
 Yes16855811.001.00
 No3141291.39 (1.15–1.68)<0.011.27 (1.05–1.55)0.010.67
Hematuria
 Positive7003091.001.00
 Negative12984000.59 (0.51–0.68)<0.010.60 (0.52–0.71)<0.010.91
SBP mean ± SD, 133.8 ± 13.9
 ≤1309292911.001.00
 >13010704191.37 (1.18–1.60)<0.011.27 (1.08–1.48)<0.010.06
BMI mean ± SD, 29.1 ± 6.8
 <255802181.001.00
 ≥2514174900.93 (0.79–1.09)0.370.88 (0.75–1.05)0.170.07
Region
 North America7012901.001.00
 Central/Latin America4281370.82 (0.66–1.00)0.050.87 (0.70–1.08)0.210.89
 Europe8702830.74 (0.62–0.87)<0.010.63 (0.51–0.77)<0.010.61
Baseline sCr level
 ≤3.0 mg/dL10342341.001.00
 >3.0 mg/dL9654762.79 (2.39–3.27)<0.012.52 (2.14–2.98)<0.010.14
Diabetic nephropathy status
 No11913981.001.00
 Yes8083121.25 (1.08–1.45)<0.011.10 (0.93–1.31)0.240.49

Race was self-reported

North America, Canada and United States of America; Central/Latin America, Argentina, Brazil and Mexico; Europe, Czech Republic, Germany, Spain, France, Italy, Poland, Russia and Ukraine

N number of patients in the respective population, n number of patients who had primary endpoint achievement, SD standard deviation, HR hazard ratio, CI confidence interval, UP/UCr urinary protein to urinary creatinine ratio, ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin-II receptor blocker, SBP systolic blood pressure, BMI body mass index

Table 3

Univariable and multivariable mixed model analysis for change from baseline in eGFR % for secondary endpoint

Baseline parameters N Univariable analysisMultivariable analysis P for interaction
LSM (95% CI) P valueLSM (95% CI) P value
Treatment
 Placebo976
 AST-1209802.12 (−1.08 to 5.33)0.192.42 (−0.73 to 5.57)0.13
Age, years mean ± SD, 54.2 ± 14.5
 ≤651400
 >655566.58 (3.03 to 10.13)<0.012.97 (−0.72 to 6.68)0.110.25
Sex
 Female796
 Male11600.57 (−2.69 to 3.84)0.730.20 (−3.08 to 3.50)0.900.75
Race
 White1564
 Others392−0.47 (−4.49 to 3.53)0.81−2.05 (−6.49 to 2.38)0.360.34
UP/Ucr mean ± SD, 1.71 ± 1.20
 <1.0559
 ≥1.01391−15.74 (−19.23 to −12.26)<0.01−14.42 (−18.03 to −10.81)<0.010.88
Anemia
 Positive1371
 Negative5692.65 (−0.88 to 6.20)0.142.06 (−1.61 to 5.73)0.270.73
Use of ACEI/ARB
 Yes1648
 No3083.04 (−1.36 to 7.44)0.172.61 (−1.76 to 6.99)0.240.01
Hematuria
 Positive687
 Negative126810.38 (7.04 to 13.71)<0.017.16 (3.68 to 10.65)<0.010.63
SBP mean ± SD, 132.9 ± 14.0
 ≤130912
 >1301044−2.80 (−6.01 to 0.41)0.08−1.35 (−4.60 to 1.89)0.410.15
BMI mean ± SD, 28.8 ± 6.4
 <25569
 ≥2513851.70 (−1.83 to 5.24)0.340.68 (−2.92 to 4.30)0.700.08
Region
 North America679
 Central/Latin America419−5.76 (−10.17 to −1.36)0.01−6.06 (−10.48 to −1.63)<0.01
 Europe858−6.22 (−9.86 to −2.58)<0.01−4.99 (−9.33 to −0.65)0.020.22
Baseline sCr level
 ≤3.0 mg/dL1010
 >3.0 mg/d946−2.66 (−5.88 to 0.54)0.10−0.47 (−3.80 to 2.84)0.770.12
Diabetic nephropathy status
 No1171
 Yes7851.17 (−2.10 to 4.44)0.480.73 (−2.83 to 4.30)0.680.09

Race was self-reported

North America, Canada and United States of America; Central/Latin America, Argentina, Brazil and Mexico; Europe, Czech Republic, Germany, Spain, France, Italy, Poland, Russia and Ukraine

N number of patients in the respective population, SD standard deviation, LSM least squares means, CI confidence interval, UP/UCr urinary protein to urinary creatinine ratio, ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin-II receptor blocker, SBP systolic blood pressure, BMI body mass index

Univariable and multivariable stratified Cox analysis for primary endpoint Race was self-reported North America, Canada and United States of America; Central/Latin America, Argentina, Brazil and Mexico; Europe, Czech Republic, Germany, Spain, France, Italy, Poland, Russia and Ukraine N number of patients in the respective population, n number of patients who had primary endpoint achievement, SD standard deviation, HR hazard ratio, CI confidence interval, UP/UCr urinary protein to urinary creatinine ratio, ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin-II receptor blocker, SBP systolic blood pressure, BMI body mass index Univariable and multivariable mixed model analysis for change from baseline in eGFR % for secondary endpoint Race was self-reported North America, Canada and United States of America; Central/Latin America, Argentina, Brazil and Mexico; Europe, Czech Republic, Germany, Spain, France, Italy, Poland, Russia and Ukraine N number of patients in the respective population, SD standard deviation, LSM least squares means, CI confidence interval, UP/UCr urinary protein to urinary creatinine ratio, ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin-II receptor blocker, SBP systolic blood pressure, BMI body mass index The interaction test between AST-120 and clinically relevant factors showed a significant effect only for use of ACEI/ARB (P for interaction 0.01) on the eGFR % change. This result suggests that use of ACEI/ARB might have affected the observed effect of AST-120 in the overall trials. The effects of AST-120 on the primary endpoint in the subgroups with factors predicting rapid disease progression, UP/UCr and hematuria, and taking ACEI/ARB are presented in Fig. 2. In the current study, for the hematuria-positive group taking ACEI/ARB medication at baseline, additional treatment with AST-120 reduced the risk of achieving the primary endpoint (HR 0.74, 95% CI 0.57–0.95) (Fig. 2). A similar reduction was observed in patients with extremely rapid disease progression, who were hematuria positive with UP/UCr ≥1.0 and taking ACEI/ARB medication at baseline (HR 0.74, 95% CI 0.56–0.96). No differences were observed between the treatment groups in the hematuria-negative group or baseline UP/UCr <1.0 group, regardless of ACEI/ARB use.
Fig. 2

Effect of AST-120 on endpoint achievement. N number of patients in the respective population, n number of patients who had primary endpoint achievement, ACEI/ARB angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, CI confidence interval, HR hazard ratio, UP/UCr urinary protein to urinary creatinine ratio. Patients without UP/UCr or hematuria data were excluded from the subgroup analysis

Effect of AST-120 on endpoint achievement. N number of patients in the respective population, n number of patients who had primary endpoint achievement, ACEI/ARB angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, CI confidence interval, HR hazard ratio, UP/UCr urinary protein to urinary creatinine ratio. Patients without UP/UCr or hematuria data were excluded from the subgroup analysis A K–M plot of event-free occurrence for the baseline hematuria positive and UP/UCr ≥1.0 with baseline ACEI/ARB use group is presented in Fig. 3a. In this high risk patient population, there was a lower primary endpoint occurrence the AST-120 treated group compared to placebo (P = 0.026). The declines in eGFR from baseline in the AST-120 group were smaller than the declines in the placebo group as shown in Fig. 3b (P = 0.035).
Fig. 3

Kaplan–Meier analysis (a) and eGFR relative change from baseline (b) (UP/UCr ≥1.0, hematuria positive and baseline ACEI/ARB use). a Stratified Cox analysis, stratified factors: region, DN/non-DN, baseline sCr (3 mg/dL above or below). N number of patients in the respective population, HR hazard ratio. b Mixed-effects model was applied (ANCOVA). ACEI/ARB angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, eGFR estimated glomerular filtration rate, UP/UCr urinary protein to urinary creatinine ratio

Kaplan–Meier analysis (a) and eGFR relative change from baseline (b) (UP/UCr ≥1.0, hematuria positive and baseline ACEI/ARB use). a Stratified Cox analysis, stratified factors: region, DN/non-DN, baseline sCr (3 mg/dL above or below). N number of patients in the respective population, HR hazard ratio. b Mixed-effects model was applied (ANCOVA). ACEI/ARB angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, eGFR estimated glomerular filtration rate, UP/UCr urinary protein to urinary creatinine ratio

Discussion

This post hoc analysis of the EPPIC study population demonstrated no correlation between CKD disease severity and disease progression, although both of them are the risk factors for the primary endpoint achievement. While the EPPIC study was successful in terms of enrolling patients with moderate-to-severe CKD and in terms of enrolling patients with UP/UCr ratios of ≥0.5, which was assumed to include patients with progressive disease, examination of the pooled placebo group revealed that the majority of the recruited patients had an eGFR change only between 0 and 20%. These patients were found to have a low occurrence of the primary composite endpoint and the ESRD endpoint as well as a low likelihood of achieving either of these endpoints. Sample size determination for the EPPIC trials was based on the treated cohort of the Reduction in ENdpoints with the Angiotensin Antagonist Losartan (RENAAL) trial [8] in conjunction with further adjustment for differences in disease severity and heterogeneity within the RENAAL population. A median time to cumulative 50% event-free probability of approximately 124 weeks in the placebo group was estimated. However, the median time to event of the pooled placebo ITT population from the EPPIC trials was 180.1 weeks. In retrospect, the UP/UCr ≥0.5 inclusion criterion could be regarded as insufficient to include patients with rapid CKD progression. To investigate the EPPIC population in detail, multivariable analyses were performed, and the results confirmed the well-known and established factors of baseline UP/UCr and hematuria, having a positive association between CKD progression and ESRD. While it is well established that the UP/UCr is highly associated with CKD prognosis, hematuria is recognized as a risk factor for disease progression in Japan [9, 10]. Recent Japanese CKD guidelines [4] state that both proteinuria and hematuria are associated with a high risk for CKD progression. A large-scale cohort study in Israel of young adults with hematuria demonstrated that persistent asymptomatic microscopic hematuria was a risk factor for ESRD onset [11]. A study of patients with stage 3–5 nondiabetic CKD demonstrated that microscopic hematuria was significantly associated with increased risk of ESRD, rapid renal function progression, and all-cause mortality, particularly in those with mild proteinuria [12]. Another study demonstrated that patients with advanced CKD with hematuria progressed significantly faster to ESRD as compared with patients with proteinuria alone [13]. Results from these studies propose that hematuria is a prognostic factor for renal outcomes in patients with CKD. There may be two reasons for the diminished importance of hematuria in clinical practice: its relationship to ESRD being less clear than the relation between ESRD and proteinuria, and the possibility of involvement of IgA nephropathy and thin basement membrane disease as the cause of the hematuria. In the EPPIC trials, 26% of patients with diabetic nephropathy had hematuria at baseline (data not shown); in another report, hematuria was observed in 30% of patients with diabetic nephropathy [14], which suggests that the occurrence of hematuria may not be limited to a particular disease. Results from this study suggest that close attention to hematuria in predialysis patients is warranted. Multivariable analysis of the primary endpoint showed that high SBP and nonuse of ACEI/ARB were risk factors for ESRD (Table 2). The current standard of care for CKD includes blood pressure control. Medications that provide renin–angiotensin system blockade are the first-line choice for their possible renoprotective effect in reducing proteinuria and their strong hypotensive effect. In the EPPIC trials, AST-120 or placebo was added to standard therapy in adults with CKD; approximately 20% of patients were not taking ACEI/ARB medication at baseline. If patients not taking ACEI/ARB medication were excluded and the remaining patient data for progressing patients were analyzed to evaluate the add-on effects of AST-120 in standard therapy, there was a significant difference between treatment groups. There was no difference, however, between treatment groups in non-progressing patients taking ACEI/ARB. These results suggest that control of blood pressure and its treatment affected the occurrence of ESRD in this study. In addition, AST-120 may slow down disease progression in patients with rapidly progressing CKD taking standard of care medications such as ACEI/ARB. ACEI/ARB and AST-120 may have different modes of action, and may work in a mutually complementary manner in CKD treatment. Subgroup analysis showed that AST-120 may delay the CKD progression in patients with rapid eGFR decline, hematuria and UP/UCr ≥1.0. Similar results were observed in studies in the Carbonaceous oral Adsorbent’s effects on Progression of chronic Kidney Disease (CAP-KD) study [15, 16] and in the Kremezin Study against Renal Disease Progression in Korea (K-STAR) [17, 18] which included patients with CKD progression based on observed pretreatment measurement. Results from both studies showed that AST-120 slowed eGFR lowering. It is probable that hematuria and UP/UCr could induce glomerular damage by increasing oxidative stress and inflammation which in turn could accelerate renal dysfunction. AST-120 may protect renal endothelial homeostasis by reducing the concentrations of uremic toxins such as IS, which induces inflammation [19]. In conclusion, higher UP/UCr levels and the prevalence of hematuria were shown to be risk factors for CKD progression in these post hoc analyses of the EPPIC study population. Furthermore, treatment with AST-120 was suggested to delay time to dialysis and prevent depression of renal function in the subgroup of patients in the EPPIC trials with elevated baseline UP/UCr and positive hematuria taking ACEI/ARBs. Since the major limitation of this analysis is its post hoc nature, further prospective studies in patients with the CKD progression risk factors of elevated UP/UCr, and hematuria are needed to confirm the results observed in these analyses, including the effects of AST-120. Below is the link to the electronic supplementary material. Supplementary material 1 (PDF 275 kb)
  17 in total

1.  Study design and methods for a clinical trial of an oral carbonaceous adsorbent used to prevent the progression of chronic kidney disease (CAP-KD).

Authors:  Satoshi Morita; Shunichi Fukuhara; Tadao Akizawa; Yasushi Asano; Kiyoshi Kurokawa
Journal:  Clin Exp Nephrol       Date:  2005-09       Impact factor: 2.801

2.  Randomized Placebo-Controlled EPPIC Trials of AST-120 in CKD.

Authors:  Gerald Schulman; Tomas Berl; Gerald J Beck; Giuseppe Remuzzi; Eberhard Ritz; Kiyoshi Arita; Akira Kato; Miho Shimizu
Journal:  J Am Soc Nephrol       Date:  2014-10-27       Impact factor: 10.121

3.  Prognosis of asymptomatic hematuria and/or proteinuria in men. High prevalence of IgA nephropathy among proteinuric patients found in mass screening.

Authors:  Kunihiro Yamagata; Hideto Takahashi; Chie Tomida; Yoh Yamagata; Akio Koyama
Journal:  Nephron       Date:  2002-05       Impact factor: 2.847

4.  Hematuria and red cell casts in typical diabetic nephropathy.

Authors:  W M O'Neill; J D Wallin; P D Walker
Journal:  Am J Med       Date:  1983-03       Impact factor: 4.965

5.  Effect of a carbonaceous oral adsorbent on the progression of CKD: a multicenter, randomized, controlled trial.

Authors:  Tadao Akizawa; Yasushi Asano; Satoshi Morita; Takafumi Wakita; Yoshihiro Onishi; Shunichi Fukuhara; Fumitake Gejyo; Seiichi Matsuo; Noriaki Yorioka; Kiyoshi Kurokawa
Journal:  Am J Kidney Dis       Date:  2009-07-17       Impact factor: 8.860

6.  Proteinuria and the risk of developing end-stage renal disease.

Authors:  Kunitoshi Iseki; Yoshiharu Ikemiya; Chiho Iseki; Shuichi Takishita
Journal:  Kidney Int       Date:  2003-04       Impact factor: 10.612

7.  The risk of developing end-stage renal disease in patients with type 2 diabetes and nephropathy: the RENAAL study.

Authors:  William F Keane; Barry M Brenner; Dick de Zeeuw; Jean-Pierre Grunfeld; Janet McGill; William E Mitch; Artur B Ribeiro; Shahnaz Shahinfar; Roger L Simpson; Steven M Snapinn; Robert Toto
Journal:  Kidney Int       Date:  2003-04       Impact factor: 10.612

Review 8.  Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention.

Authors:  Mark J Sarnak; Andrew S Levey; Anton C Schoolwerth; Josef Coresh; Bruce Culleton; L Lee Hamm; Peter A McCullough; Bertram L Kasiske; Ellie Kelepouris; Michael J Klag; Patrick Parfrey; Marc Pfeffer; Leopoldo Raij; David J Spinosa; Peter W Wilson
Journal:  Circulation       Date:  2003-10-28       Impact factor: 29.690

9.  Microscopic Haematuria and Clinical Outcomes in Patients With Stage 3-5 Nondiabetic Chronic Kidney Disease.

Authors:  Hugo You-Hsien Lin; Chun-Yu Yen; Lee-Moay Lim; Daw-Yang Hwang; Jer-Chia Tsai; Shang-Jyh Hwang; Chi-Chih Hung; Hung-Chun Chen
Journal:  Sci Rep       Date:  2015-10-16       Impact factor: 4.379

Review 10.  AST-120 for the management of progression of chronic kidney disease.

Authors:  Gerald Schulman; Raymond Vanholder; Toshimitsu Niwa
Journal:  Int J Nephrol Renovasc Dis       Date:  2014-01-30
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  13 in total

1.  Tissue, urine and blood metabolite signatures of chronic kidney disease in the 5/6 nephrectomy rat model.

Authors:  Munsoor A Hanifa; Martin Skott; Raluca G Maltesen; Bodil S Rasmussen; Søren Nielsen; Jørgen Frøkiær; Troels Ring; Reinhard Wimmer
Journal:  Metabolomics       Date:  2019-08-17       Impact factor: 4.290

Review 2.  Deleting Death and Dialysis: Conservative Care of Cardio-Vascular Risk and Kidney Function Loss in Chronic Kidney Disease (CKD).

Authors:  Raymond Vanholder; Steven Van Laecke; Griet Glorieux; Francis Verbeke; Esmeralda Castillo-Rodriguez; Alberto Ortiz
Journal:  Toxins (Basel)       Date:  2018-06-12       Impact factor: 4.546

Review 3.  Impact of Altered Intestinal Microbiota on Chronic Kidney Disease Progression.

Authors:  Esmeralda Castillo-Rodriguez; Raul Fernandez-Prado; Raquel Esteras; Maria Vanessa Perez-Gomez; Carolina Gracia-Iguacel; Beatriz Fernandez-Fernandez; Mehmet Kanbay; Alberto Tejedor; Alberto Lazaro; Marta Ruiz-Ortega; Emilio Gonzalez-Parra; Ana B Sanz; Alberto Ortiz; Maria Dolores Sanchez-Niño
Journal:  Toxins (Basel)       Date:  2018-07-19       Impact factor: 4.546

Review 4.  Glomerular Hematuria: Cause or Consequence of Renal Inflammation?

Authors:  Juan Antonio Moreno; Ángel Sevillano; Eduardo Gutiérrez; Melania Guerrero-Hue; Cristina Vázquez-Carballo; Claudia Yuste; Carmen Herencia; Cristina García-Caballero; Manuel Praga; Jesús Egido
Journal:  Int J Mol Sci       Date:  2019-05-05       Impact factor: 5.923

Review 5.  Review of the efficacy of AST-120 (KREMEZIN®) on renal function in chronic kidney disease patients.

Authors:  Mayumi Asai; Sei Kumakura; Mami Kikuchi
Journal:  Ren Fail       Date:  2019-11       Impact factor: 2.606

6.  Prediction of Patients Who Can Benefit from Oral Intestinal Sorbent AST-120.

Authors:  Ran Hui Cha
Journal:  J Korean Med Sci       Date:  2019-04-22       Impact factor: 2.153

7.  Importance of AST-120 (Kremezin®) Adherence in a Chronic Kidney Disease Patient with Diabetes.

Authors:  Yasuhiko Tomino; Atsuko Hisada-Urita; Takuto Seki; Tomonari Watanabe; Reo Kanda; Toshimasa Takahashi
Journal:  Case Rep Nephrol Dial       Date:  2018-06-08

Review 8.  Impacts of Indoxyl Sulfate and p-Cresol Sulfate on Chronic Kidney Disease and Mitigating Effects of AST-120.

Authors:  Wen-Chih Liu; Yasuhiko Tomino; Kuo-Cheng Lu
Journal:  Toxins (Basel)       Date:  2018-09-11       Impact factor: 4.546

Review 9.  Molecular mechanisms underlying uremic toxin-related systemic disorders in chronic kidney disease: focused on β2-microglobulin-related amyloidosis and indoxyl sulfate-induced atherosclerosis-Oshima Award Address 2016.

Authors:  Suguru Yamamoto
Journal:  Clin Exp Nephrol       Date:  2018-06-05       Impact factor: 2.801

10.  Effects and Safety of an Oral Adsorbent on Chronic Kidney Disease Progression: A Systematic Review and Meta-Analysis.

Authors:  Ying-Chun Chen; Mei-Yi Wu; Ping-Jen Hu; Tzu-Ting Chen; Wan-Chen Shen; Wei-Chiao Chang; Mai-Szu Wu
Journal:  J Clin Med       Date:  2019-10-17       Impact factor: 4.241

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