clinical perspectives from recent ckd trials...2017/02/14 · clinical perspectives from recent ckd...
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Dick de Zeeuw Department of Clinical Pharmacy and Pharmacology
University Medical Center Groningen
The Netherlands
Clinical Perspectives from Recent CKD Trials Failure of hard outcome renal CKD progression trials
New avenues?
Disclosure: Consultant to AbbVie, Astellas, AstraZeneca, Chemocentryx, Fresenius,
Hemocue, Janssen, Novartis, Pfizer, Reata, Takeda; honoraria paid to Institution
Recent failed trials in CKD protection
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
Dick de Zeeuw June 2014
Reason for trial failure
• the new therapies are developed on the assumption that the intervention is providing additive renal (CV) protection
• Indeed, many of the failed trials conclude that the investigational drug was failing because of the characteristics of the drug itself or because of the wrong target/surrogate
I submit the hypothesis that it is not the wrong drug
but the wrong trial design that might explain the trial failures
Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population § No effect on surrogate § Too high dose § Wrong endpoints § Too many side effects
Dick de Zeeuw June 2014
ONTARGET: CV and renal outcome during ACEi (ramipril) vs ACEi (ramipril) + AIIA (telmisartan) in high-risk patients
Yusuf S, et al. N Engl J Med 2008;358:1547–9 Mann J, et al. Lancet 2008;372:547–53
0.005
0.004
0.003
0.002
0.001
0 0 1 2 4
Years to follow-up
Cum
ulat
ive
dial
ysis
inci
denc
e
3 5
Telmisartan + Ramipril Ramipril
Telmisartan
Cum
ulat
ive
CV
out
com
e in
cide
nce
0.0 0.05 0.10 0.15 0.20 0.25
0 1 2 3 4
Ramipril Telmisartan + Ramipril
R 8576 8214 7832 7473 7095 T&R 8502 8134 7740 7377 7023
Dick de Zeeuw June 2014
ONTARGET; Baseline albuminuria
• Microalbuminuria was present in 13.1% of all participants § 29.7% of those with diabetes § 9.2% of those without known diabetes
• Macroalbuminuria was seen in 4.0% of all participants § 12.2% of those with diabetes § 1.4% of those without known diabetes.
Mann JF et al; New Engl J Med 2008 Dick de Zeeuw June 2014
ONTARGET: Incidence of primary and secondary renal outcomes and of its components
Ramipril N
Telmisartan N
Ramipril + telmisartan
N
Telmisartan Vs Ramipril
HR p
Ram +Telm Vs ramipril
HR
p
All dialysis, doubling, death
1150 1147 1233 1·00 0·968 1·09 0·037 All dialysis and doubling
174 189 212 1·09 0·420 1·24 0·038
All dialysis 48 51 63 1·07 0·747 1·33 0·133
All death 1014 989 1065 0·98 0·641 1·07 0·144
Doubling 140 155 166 1·11 0·378 1·20 0·110 Acute dialysis 13 20 28 1·55 0·221 2·19 0·020 Chronic dialysis 33 31 34 0·94 0·817 1·05 0·854
Mann JF et al; New Engl J Med 2008 Dick de Zeeuw June 2014
ONTARGET: Effect of treatment on serum potassium
Time (years) R - 1 R W6 2 Study
End
Seru
m p
otas
sium
(mm
ol/L
)
4.30 4.35 4.40 4.45 4.50 4.55 4.60
Dual therapy
Mono therapy
Lambers Heerspink et al; EJPC 2014 Dick de Zeeuw June 2014
ONTARGET: Relationship on-treatment serum potassium and cardiovascular outcome
3 4 5 6 7 Serum potassium at Week 6
0
0.5
1
1.5
2
2.5
0
5
10
15
20
25 H
azar
d R
atio
CV
Out
com
e
Patie
nts
%
Adjusted risk: Age, gender, diabetes, eGFR, UACR, systolic blood pressure, diuretics
Lambers Heerspink et al; EJPC 2014 Dick de Zeeuw June 2014
ONTARGET: Relation week-6 serum potassium and renal outcome
Serum potassium at Week 6 3 4 5 6 7
0
0.5
1
1.5
2
2.5
3
3.5
4
0
5
10
15
20
25
30
35
40 H
azar
d R
atio
Ren
al O
utco
me
Patie
nts
%
Adjusted risk: Age, gender, diabetes, eGFR, UACR, systolic blood pressure, diuretics
Lambers Heerspink et al; EJPC 2014 Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population YES; eGFR >70; Macroalb 4% § No effect on surrogate § Too high dose § Wrong endpoints YES; Acute dialysis § Too many side effects YES; Potassium increase
Dick de Zeeuw June 2014
SUN-Overt; effect of Sulodexide on renal outcome in type 2 diabetes with nephropathy
Packham D, et al. J Am Soc Nephrol 2012;23:123–30
1.00
0 3 6 9 12 15 18 21 24 27 30 Time (months after randomization)
0.00
0.25
0.50
0.75
Pro
babi
lity
of n
o re
nal e
ndpo
int
Placebo
Sulodexide
Number of participants still at risk (number of endpoints)
Placebo 580 (8) 396 (5) 243 (10) 101 (7) 6
Sulodexide 549 (0) 403 (9) 242 (9) 105 (8) 6
Dick de Zeeuw June 2014
SUN-Micro; effect of Sulodexide on albuminuria in type 2 diabetes with microalbuminuria
Lewis et al AJKD 2011 Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population § No effect on surrogate YES § Too high dose § Wrong endpoints § Too many side effects
Dick de Zeeuw June 2014
TREAT; CV (Death, MI, Myocardial Ischemia, HF, Stroke) and Renal (Death or ESRD) Composite
Pfeffer M, et al. N Engl J Med 2009;361:2019–32
0
10
20
30
40
50
0 6 12 18 24 30 36 42 48
Pat
ient
s w
ith C
V e
vent
s (%
)
HR: 1.05 (0.94–1.17) p=0.41
Darbepoetin alfa 632 (31.4%)
Placebo 602 (29.7%)
0
10
20
30
40
50
0 6 12 18 24 30 36 42 48
Pat
ient
s w
ith re
nal e
vent
s (%
)
Months
HR: 1.06 (0.95–1.19) p=0.29
Darbepoetin alfa 652 (32.4%)
Placebo 618 (30.5%)
Months
Dick de Zeeuw June 2014
TREAT; post-hoc analysis; difference in CV outcome (Death, MI, Stroke, HF) for Hb non-responders vs responders
0.00
0.10
0.20
0.30
0.40
Frac
tion
of p
atie
nts
1889 1611 1138 514 117 Placebo 1401 1234 854 408 94 471 394 272 125 30
Number at risk 0 1 2 3 4
Hyporesponsive
Placebo arm
0.50
1889 1611 1138 514 117 1401 1234 854 408 94 Responsive 471 394 272 125 30 Hyporesponsive
0 1 2 3 4
1401 1234 854 408 1401 1234 854 408 94 471 394 272 125 30
0 1 2 3 4 Years
Responsive
Solomon S, et al. N Engl J Med 2010;363:1146–55 Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population § No effect on surrogate YES (with high dosing) § Too high dose YES § Wrong endpoints § Too many side effects ?
Dick de Zeeuw June 2014
ALTITUDE: CV and renal secondary composite endpoint
Parving H, et al. N Engl J Med 2012;367:2204–13
Car
diov
ascu
lar
com
posi
te o
utco
me
(%)
0
10
20
30
40
0 6 12 18 24 30 36 42 48
Months since randomization No. at risk
Aliskiren: Placebo:
4274 4287
4094 4117
3939 3944
3726 3741
3019 3079
2340 2385
1382 1427
679 680
85 86
Hazard ratio, 1.11 (95% CI, 0.99–1.25); p=0.09
Aliskiren
Placebo
Ren
al
com
posi
te o
utco
me
(%)
Aliskiren
Placebo
0
10
20
30
40
0 6 12 18 24 30 36 42 48
Months since randomization No. at risk
Aliskiren: Placebo:
4274 4287
4168 4185
4042 4058
3846 3874
3119 3161
2409 2428
1417 1443
705 693
96 91
Hazard ratio, 1.03 (95% CI, 0.87–1.23); p=0.74
Dick de Zeeuw June 2014
ALTITUDE; more blood pressure and albuminuria lowering during Aliskiren
Parving et al; NEJM 2012
Time Period (months)
0.6
0.8
1.0
1.2
0 6 12 18 24 30 36 42
Rat
io o
f geo
met
ric m
eans
of
urin
ary
albu
min
:cre
atin
ine
ratio
UACR
Aliskiren
Δ 14% Δ 1.3
Sys
tolic
/Dia
stol
ic B
P (m
mH
g)
Time Period (months)
0 6 12 18 24 30 36 42
73
75
138
140
142
144
136
BP
Aliskiren
Δ 0.6
Placebo Placebo
Dick de Zeeuw June 2014
Relationship between short-term decrease in albuminuria and long-term renal risk reduction:
different randomized clinical trials in different populations
Lambers Heerspink H, De Zeeuw D. Nephron Clin Pract 2010;116:c137–42
0 10 20 30 40 50
1.5
1.2
1.0
0.5
0.3
Albuminuria reduction (%)
Haz
ard
ratio
ES
RD
AVOID ALTITUDE
Dick de Zeeuw June 2014
ALTITUDE; effect of Aliskiren on serum potassium course
Parving H, et al. N Engl J Med 2012;367:2204–13
Time period (months)
4.45
4.50
4.55
4.60
4.65
4.70
0 6 12 18 24 30 36 42
Ser
um p
otas
sium
(mm
ol/L
) Aliskiren
Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population § No effect on surrogate YES § Too high dose § Wrong endpoints § Too many side effects YES
Dick de Zeeuw June 2014
VA-NEPHRON-D: ACEi + ARB no renal protection in diabetes with nephropathy (n=1148)
Fried L, et al. N Engl J Med 2013;369:1892–903
Number at risk
Losartan + placebo 724 641 543 453 335 238 149 75 14
Losartan + lisinopril 724 631 534 457 347 245 139 69 10
Percentage of patients (95% CI)
5.7 (4.1–7.8) 18.7 (15.6–22.3) 30.4 (26.1–35.3) 42.4 (34.8–50.8) Losartan + placebo
5.3 (3.8–7.3) 15.2 (12.3–18.6) 28.2 (23.8–33.4) 48.3 (35.4–63.0) Losartan + lisinopril
0 10 20 30 40 50 60 70 80 90
100
Prim
ary
endp
oint
(% o
f pat
ient
s)
0 6 12 18 24 30 36 42 48 54 Months since randomization
Losartan + placebo
Losartan + lisinopril
p=0.30
Primary endpoint
Dick de Zeeuw June 2014
VA-NEPHRON-D: Acute Kidney Injury
Fried L, et al. N Engl J Med 2013;369:1892–903
Number at risk
Losartan + placebo 724 638 548 470 355 260 170 89 20
Losartan + lisinopril 724 630 528 453 341 251 156 78 7
5.2 (3.8–7.2) 11.2 (8.8–14.1) 15.4 (12.4–19.1) 18.3 (14.2–23.3) Losartan + placebo
9.2 (7.3–11.7) 16.6 (13.8–20.0) 23.7 (20.0–28.0) 40.8 (28.2–56.4) Losartan + lisinopril
Percentage of patients (95% CI)
Months since randomization
0 10 20 30 40 50 60 70 80 90
100
Acu
te k
idne
y in
jury
(% o
f pat
ient
s)
0 6 12 18 24 30 36 42 48 54
Losartan + placebo
Losartan + lisinopril p<0.001
Acute Kidney Injury
Dick de Zeeuw June 2014
VA-NEPHRON-D: Hyperkalemia
Fried L, et al. N Engl J Med 2013;369:1892–903
Number at risk
Losartan + placebo 724 648 563 487 379 271 174 90 20
Losartan + lisinopril 724 631 535 458 347 258 154 71 10
2.4 (1.5–3.9) 4.0 (2.7–5.9) 5.1 (3.4–7.5) Losartan + placebo
6.5 (4.8–8.6) 9.9 (7.8–12.7) 13.4 (10.4–17.0) Losartan + lisinopril
Percentage of patients (95% CI)
Months since randomization
0 10 20 30 40 50 60 70 80 90
100
Hyp
erka
lem
ia (%
of p
atie
nts)
0 6 12 18 24 30 36 42 48 54
Losartan + placebo Losartan + lisinopril
p<0.001
Hyperkalemia
Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population § No effect on surrogate § Too high dose § Wrong endpoints YES § Too many side effects YES
Dick de Zeeuw June 2014
BEACON; Primary outcome (ESRD or CV death) and Secondary outcome (heart failure)
BARD ── 1088 1077 1050 982 904 756 571 429 297 137 16 0
PBO ── 1097 1095 1076 1004 922 768 596 439 318 142 19 0
0.00
0.05
0.10
0.15
0.20
0.25
0 4 8 12 16 24 32 40 48 56 64 72
Est
imat
ed p
ropo
rtion
of p
atie
nts
with
E
SR
D o
r CV
dea
th b
y S
DT2
< 20% of patients
Weeks since randomization Weeks since randomization
1088 1045 1006 942 864 723 548 417 288 133 15 0 1097 1089 1070 994 907 762 591 436 315 135 20 0
BARD PBO
< 20% of patients
Est
imat
ed p
ropo
rtion
of p
atie
nts
hosp
italiz
ed fo
r/ di
ed o
f HF
by S
DT
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
0 4 8 12 16 24 32 40 48 56 64 72
De Zeeuw et al; NEJM 2013 Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population § No effect on surrogate § Too high dose ? § Wrong endpoints § Too many side effects YES
Dick de Zeeuw June 2014
ASCEND; Effect of endothelin-antagonist Avosentan on primary renal outcome (doubling of serum creatinine, ESRD or death) in
patients with type 2 diabetes and nephropathy (n = 1392)
Mann J, et al. J Am Soc Nephrol 2010;21:527–35
ASCEND; cumulative incidence of CHF by avosentan and placebo treatment arm
Hoekman et al; CJASN 2014; 9: 490-498
Number at risk Avosentan 25 455 274 201 162 Avosentan 50 478 289 207 159 Placebo 459 347 263 207
0 2 4 6
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14 P
ropo
rtion
of p
atie
nts
with
CH
F
Months of follow-up
Avosentan 25
Avosentan 50 Placebo
Dick de Zeeuw June 2014
Trial failure; design issues?
• Recently failed CKD progression trials: § ON-TARGET (dual RAAS) § SUN (sulodexide) § TREAT (EPO; darbepoetin) § ALTITUDE (dual RAAS; DRI) § VA-NEPHRON-D (dual RAAS) § BEACON (inflammation; bardoxolone) § ASCEND (endothelin antagonist; avosentan)
• Design issues: § Too low-risk population § No effect on surrogate § Too high dose YES § Wrong endpoints § Too many side effects YES
Dick de Zeeuw June 2014
Trial failure; design issues?
• Design issues:
§ Too low risk population Enrichment for risk
§ No effect on surrogate Select responders
§ Too high dose Dose to optimal effect
§ Wrong Endpoints Correct endpoint definition
§ Too much side effects Select “good” responders
What would have happened if previous trials would have looked at:
§ The responders
§ the good responders Dick de Zeeuw June 2014
ONTARGET/TRANSCEND; Post hoc; Changes in albuminuria predict outcome in vascular disease or high risk diabetes
Schmieder et al; JASN 2011
0,4 0,8 1,2 1,6
Hazard Ratio 0,6 1.0 1,4 1,8
0.026
0.140
0.032
0.019
0.005
<0.0001
<0.0001
<0.0001
All cause mortality
Decrease > 50% vs minor change
minor change
Increase > 100% vs minor change
CV Death Decrease > 50% vs minor change
minor change
Increase > 100% vs minor change
Combined CV Endpoint
Decrease > 50% vs minor change
minor change
Increase > 100% vs minor change
Combined Renal Endpoint
Decrease > 50% vs minor change
minor change
Increase > 100% vs minor change
Decrease > %0% Increase > 100%
Dick de Zeeuw June 2014
ONTARGET/TRANSCEND; Post hoc; Changes in albuminuria is best(?) predictor of outcome in patients with vascular disease or
high risk diabetes
Schmieder et al; Diabetologia 2014
ALTITUDE; Post hoc; Adjusted renal/CV hazard by 6 month albuminuria change (8561 type 2 diabetes with CKD and/or CV
disease)
Adjusted for the baseline covariates including age, gender, log-transformed UACR, eGFR, systolic blood pressure, diastolic blood pressure, HemoglobinA1c, body mass index, HDL cholesterol, LDL-cholesterol, log-transformed triglycerides, hemoglobin, history of cardiovascular disease, serum potassium current smoking, current drinking and randomized active treatment, and the change of covariates for 6 months including eGFR, systolic blood pressure, diastolic blood pressure and serum potassium
0.2
0.4
0.6
0.8 1.0 1.2 1.4 1.6
Haz
ard
ratio
(95%
CI)
Renal events
0.2
0.4
0.6
0.8 1.0 1.2 1.4 1.6
Cardiovascular events
p for trend <0.001 p for trend <0.001
N=2738
N=1548
N=1251
N=2514
N=2738
UACR change
N=1548
N=1251
N=2514
<-30 -30-<0 0-30 >30% <-30 -30-<0 0-30 >30%
UACR change
Lambers Heerspink et al. ASN 2013 Dick de Zeeuw June 2014
BEACON; Post hoc analysis; Endpoints after excluding patients with BNP>200 pg/ml
All Patients BNP ≤ 200, No Prior HF Hospitalization
Treatment PBO (n = 1097)
BARD (n = 1088)
PBO (n = 544)
BARD (n = 503)
Event Primary Composite 69 (6) 69 (6) 25 (5) 15 (3) ESRD 51 (5) 43 (4) 20 (4) 8 (2) Any Cardiovascular Death 19 (2) 27 (2) 6 (1) 7 (1) Secondary Composite 86 (8) 139 (13) 23 (4) 27 (5) Heart Failure 55 (5) 96 (9) 10 (2) 12 (2) Fatal or Non-fatal Myocardial Infarction 16 (1) 19 (2) 6 (1) 6 (1) Fatal or Non-fatal Stroke 11 (1) 14 (1) 5 (1) 2 (<1) All-Cause Death 31 (3) 44 (4) 8 (1) 11 (2) Skin and subcutaneous tissue disorders 1 (<1) 4 (<1) 0 (<1) 3 (1) Surgical and medical procedures 0 2 (<1) 0 (0) 1 (0) Vascular disorders 18 (2) 20 (2) 10 (2) 8 (2)
Chin et al; submitted Dick de Zeeuw June 2014
From trial to practice
• We are carrying out hard end point trials for registration reasons: § The trials require to be representative of the patients to be treated
with that indication in real life practice
• In trial design: § Usually fixed dose § If no effect, drug is continued and patient stays in trial § Side effects are part of outcome of trial
• In real life drug treatment: § Dose is titrated to a target § If no effect, drug is stopped § If side effect:
– Side effect is managed – if side effect persists, drug is stopped
Dick de Zeeuw June 2014
Future
• Do a trial in which we: § Enrich for risk § Enrich for good response § Enrich to take out bad response
Dick de Zeeuw June 2014
Screening
Period
(up to 14 days)
Placebo QD
Double-Blind Treatment Period
Atrasentan 0.75 mg QD
Run-in Period
2 weeks if receiving MTLD of
RAS inhibitor
Run-in Period 4–12 weeks if not receiving max
tolerated labeled dose of RAS inhibitor
6-week
Enrichment Period
Atrasentan 0.75 mg
QD
Follow-up Period
(45 days)
>30% UACR
reduction
Atrasentan 0.75 mg QD
Placebo QD
<30% UACR
reduction
n=3148
n=1000
51%
Primary endpoint Time to first occurrence of composite renal endpoint: doubling of serum creatinine or onset of ESRD (needing chronic dialysis or renal transplantation or renal death)
Study completion 425 distinct primary renal events have occurred (adjudicated) in the responder population
De Zeeuw D, et al. Manuscript in preparation; ClinicalTrials.gov NCT01858532
SONAR; Protocol scheme
Dick de Zeeuw June 2014
CONCLUSIONS
• Treatment of CKD progression (particularly in diabetes) leaves a large proportion of residual risk
• Recent efforts to slow progression with new medications on top of single RAASi have been unsuccessful
• These failures appear to be largely due to design failures
Dick de Zeeuw June 2014