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AIRPD meta-analysis

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Tazeen H. Jafar, M.D., M.P.H. Professor of Medicine Head, Section of Nephrology Department of Medicine and Community Health Sciences Aga Khan University, Karachi, Pakistan & Adjunct Faculty, Division of Nephrology Tufts Medical Center Boston, MA, US
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Tazeen H. Jafar, M.D., M.P.H.Professor of MedicineHead, Section of NephrologyDepartment of Medicine and Community Health SciencesAga Khan University, Karachi, Pakistan&Adjunct Faculty, Division of NephrologyTufts Medical CenterBoston, MA, US

ACE Inhibition in Progressive Renal Disease (AIPRD) Study Group Members of the AIPRD Study Group: Pietro Zucchelli, (Via P Palagi, Italy), Gavin Becker (Melbourne, Australia), Kym

Bannister (Adelaide, Australia), Paul Landais (Paris, France), Giuseppe Remuzzi (Bergamo, Italy), Piero Ruggenenti (Bergamo, Italy), Annelisa Perna (Bergamo, Italy), Annelise Kamper (Copenhagen, Denmark), Svend Strandgaard (Copenhagen, Denmark), Benno U. Ihle (Melbourne, Australia), Andres Himmelmann (Goteborg, Sweden), Lennart Hannson (Goteborg, Sweden), Jean-Pierre Grunfeld (Paris, France), Paul E de Jong (Groningen, Netherlands), Dick de Zeeuw (Groningen, Netherlands), Gabe G. Van Essen (Groningen, Netherlands), Alfred J. Apperloo (Groningen, Netherlands), Lamberto Oldrizzi (Verona, Italy), Carmelita. Marcantoni (Verona, Italy), Giuseppe Maschio (Verona, Italy), Ioannis Giatras, (Greece), Shahnaz Shahinfar (Westpoint, USA), Robert Toto (Dallas, USA), Barry M. Brenner (Boston, USA), Joseph Lau (Boston, USA), Nicolaos E. Madias (Boston, USA), Barbara Delano, (Brooklyn, USA), Tauqir Karim (Boston, USA), Ronald Perrone (Boston, USA), Christopher H. Schmid (Boston, USA), Tazeen H Jafar (Karachi, Pakistan and Boston, USA) and Andrew S. Levey (Boston, USA).

Funding: Dialysis Clinic, Inc. Paul Teschan Research Fund 1097-5 (Dr. Jafar), NEMC St. Elizabeth’s Hospital Clinical Research Fellowship, Boston, MA (Dr. Jafar), and an unrestricted grant from Merck Research Laboratories, West Point, NJ (Dr. Levey), Supported by grants from NIDDK RO1 DK53869A (Dr. Levey), AHCPR RO1 HS 10064 (Dr. Schmid),

Overview

AIPRD individual patient data meta-analysis (IPDMA) Main Objectives Methodology Results

Proteinuria as Surrogate During Treatment with ACE inhibitors

Benefit of ACE inhibitors independent of BP lowering effect could not be established in meta-analysis of group data

Giatras, I. et. al. Ann Intern Med 1997;127:337-345

Background-why AIPRD IPDMA?•Which antihypertensive agent to use?

AIRPD Individual Patient Data Meta- analysis 11 RCTS with 1860 patients with non-diabetic

kidney disease Anti-hypertensive regimens with ACE inhibitors vs. those

without ACE inhibitors on progression of kidney disease. Minimum follow-up of one year Database closed in 1999

Objectives:1) To determine whether antihypertensive regimens with

ACE inhibitors are superior to those without ACE inhibitors after accounting for patients’ baseline characteristics and change in BP during treatment.

2) To assess the relationship of BP with progression of kidney disease across a wide range of urine protein excretion.(Jafar, TH et. al. Ann Intern Med 2001; Jafar, TH et. al. Ann Intern Med 2003)

Characteristics Of Studies Included In Individual Patient Data Meta-analysis

Study Zucchelli et al

Kamper et al

Brenner et al*

Totoet al *

Van Essen et al

Hanned-

ouche et al

Banni-ster et al

Himme-mann et al

Ihle et al

Maschio et al

Rugg-enenti et al

StudyCharacteristics

Year of publication 1992 1992 1993 1993 1994 1994 1994 1995 1996 1996 1997/9

Number of patients 121 55 106 122 103 99 47 255 67 562 323

Planned Durationof follow-up (years)

3 2 3 3 4 3 1 2 2 3 3

Type of ACEI Captopril Enalapril Enalapril Enalapril Enalapril Enalapril Enalapril Cilazapril Enalapril Benazepril Ramipril

Control Nifedipine NS Placebo Placebo Atenololor

acebutalol

Atenololor

acebutalol

Nifedipine Atenololor

acebutalol

Placebo Placebo Placebo

Primary outcome GFR, CCr, Scr

GFR GFR, CCr, Scr

GFR, CCr Scr

GFR, SCr GFR, Scr

GFR GFR GFR, CCr Scr

SCr GFR, SCr

Method for urine protein

24 h 24 h 24 h 24 h 24 h 24 h 24 h dipstick 24 h 24 h 24 h

Authors’ primaryconclusion

NS ACEIbetter

NS NS NS ACEIbetter

NS ACEIbetter

ACEIbetter

ACEIbetter

ACEIbetter

(Jafar, T. et. al. Ann Intern Med 2001)

Methods Mean follow-up 2.2 years Visits=22,610 Primary Outcome (True Endpoints)

Composite outcome of doubling of baseline serum creatinine or onset of ESRD (true endpoint)

Onset of ESRD (true endpoint) Multivariable models adjusted for study centers Cox proportional hazards regression analysis Treatment effect (ACEI vs other antihypertensive agents) With and without adjustment for proteinuria (surrogate)

1) Change from baseline; 2) current level on treatment

Jafar TH et al. Annals Intern Med 2003

Definitions

Measures of ProteinuriaCollection: 24 hours urine specimens in 10 studies and dipstick

in oneAnalyte: Total Urinary Protein (in g/d)Analytical methods: Total protein –automated precipitation assays in

10, dipstick in one

Threshold: continuous. All values of urine protein <0.1 g/d converted to 0.1 g/d)

Outcomes Doubling of baseline serum creatinine or onset of kidney

failure Onset of kidney failure

Measures for validating proteinuria as surrogate endpoint in IPD-MA1) Assessed individual-level association

1) treatment affects the surrogate endpoint (UP)2) treatment affects the true endpoint (Doubling of

serum Creatinine/ onset of kidney failure) 3) “adjusted association”: association treatment and

true endpoint after accounting for treatment effect on surrogate and for center effect

Cause of Kidney Disease Glomerular diseases 32.9% Hypertensive nephrosclerosis 33.0% Tubulointerstitial diseases 11.8% PKD 7.6% Others 14.7%

Comparison Of Randomized Groups

Outcomes

<0.001-0.03 (1.16)0.43 (1.67)0.20 (1.46)Decline in UP g/d (SD)

All Patients ACE inhibitor group Control group P value

Number of Patients 1860 941 919

Baseline Characteristics

Men n (%) 1215 (65) 615 (65) 600 (65) >0.2

Age in years mean (SD) 52 (13) 52 (13) 52 (13) >0.2

Serum Creatinine (mg/dl) mean (SD) 2.3 (1.2) 2.3 (1.2) 2.3 (1.2) >0.2

Systolic BP (mm Hg) mean (SD) 148 (22) 148 (21) 149 (22) >0.2

Diastolic BP (mm Hg) mean (SD) 90 (11) 90 (11) 91 (11) >0.2

Urine protein (g/d) mean (SD) (median) 1.8 (2.3) (0.98) 1.8 (2.5) (0.94) 1.8 (2.1) (1.0) >0.2

Follow-up characteristics

Systolic BP (mm Hg) mean (SD) 142 (17) 139 (16) 144 (16) <0.001

Diastolic BP (mm Hg) mean (SD) 86 (8) 85 (7) 85 (8) <0.001

Urine protein excretion g/d mean (SD) 1.6 (1.8) 1.4 (1.8) 1.7 (2.0) <0.001

Kidney Failure n (%) 176 (9.5) 70 (7.4) 106 (11.6) 0.002

Doubling of serum creatinine or kidney failure n (%) 311 (16.8) 124 (13.2) 187 (20.5) 0.001

Death n (%) 31 (1.6) 20 (2.1) 11 (1.2) 0.13

Withdrawals n (%) 387 (20.8) 207 (22.0) 180 (19.6) 0.2

Treatment Effect on Surrogate (Proteinuria)

(Jafar, T. et. al. Ann Intern Med 2001)

Risk Of Kidney Disease Progression In Patients Taking ACE Inhibitors (Squares) And Controls (Circles), According To Baseline Urinary Protein Excretion

Interaction p <0.001

Treatment Interaction with Baseline UP After Accounting for Change in UP

Treatment Effect of ACE inhibitors on True Endpoints

TREATMENT EFFECT (RR)ACE inhibitor VS. CONTROL

Kidney failure RR (CI)

Doubling of baseline serum creatinine or Kidney Failure

RR (CI)

Unadjusted 0.65 (0.48-0.88) 0.63 ( 0.51-0.80)

Adjusted for baseline variables 0.65 (0.47-0.88) 0.60 (0.48-0.76)

Adjusted for baseline variables and ∆ SBP

0.68 (0.50-0.93) 0.65 (0.51-0.81)

Adjusted for baseline variables and ∆UP 0.69 (0.50-0.95) 0.66 (0.52-0.84)

Adjusted for baseline variables, and ∆ SBP and ∆UP

0.71 (0.51-0.97) 0.70 (0.55-0.88)

(Jafar, T. et. al. Ann Intern Med 2001)Cox proportional hazards regression analysis

Doubling of Serum Creatinine or onset of Kidney Failure-AIPRD)

Regression of Outcome vs. Treatment HR (CI)

Treatment 0.64 (0.50-0.79)

Regression of Outcome vs. Treatment Adjusted for Baseline

HR (CI)

Treatment 0.58 (0.46- 0.73)

Baseline proteinuria (each 1 g/d increase) 1.18 (1.14-1.21)

Regression of Outcome vs. Treatment Adjusted for Baseline and Change

HR (CI)

Treatment 0.65 (0.52-0.82)

Baseline proteinuria (each 1 g/d increase) 1.30 (1.26-1.35)

Decline in proteinuria (each 1 g/d decrease) 0.84 (0.80-0.87)

Note: If treatment is effective, HR for treatment will be <1.0. If proteinuria is a surrogate marker for treatment effect, HR for treatment effect will increase from <1.0 to closer to 1.0 in adjusted models.

Treatment Effect According to Current UP

Doubling of Serum Creatinine or onset of Kidney Failure-AIPRD)

Regression of Outcome vs. Treatment Adjusted for Baseline and current (during treatment)

HR (CI)

Treatment 0.65 (0.52-0.81)

Baseline proteinuria (each 1 g/d increase) 1.09 (1.04-1.14)

current proteinuria (each 1 g/d increase) 1.19 (1.15-1.24)

Which antihypertensive agent? summary ACEI are superior to other agents in slowing

progression of non-diabetic kidney disease in patients with UP of 0.5 g/d or greater

This benefit of ACEI is in addition to their BP and UP lowering effects

Benefit of ACEI is greater in patients with high levels of proteinuria at initiation of therapy

Proteinuria and treatment with ACE inhibitorsIn patients with non-diabetic kidney disease, High baseline level of proteinuria predicts a higher

risk Benefit of ACE inhibitors greater in those with higher

levels of proteinuria at baseline This greater benefit can be explained by

antiproteinuric effect of ACE inhibitors

A lower level of urine protein excretion during treatment predicts a lower risk.

At all levels of urine protein during follow-up, the risk is lower in patients treated with ACE inhibitors.

Aim to lower urine protein excretionn However, urine protein during follow up may not

capture full treatment effect of ACE inhibitors

Proteinuria -SummaryIn patients with non-diabetic CKD: Initial proteinuria

Robust for risk stratification Treatment indication with ACE inhibitors

Change in proteinuria Accounts only partially for treatment effect of ACE

inhibitors Validity as surrogate suboptimal, perhaps valuable in those with

high levels of proteinuria at baseline

Proteinuria on treatment Therapeutic target

Continue following Suboptimal surrogate for treatment with ACE inhibitor

Continue search for better

Limitations Method of assessment of proteinuria varied across

studies Insensitive at lower levels of proteinuria Patients not randomized to different levels of

proteinuria ?reverse causation

Type of ACE inhibitor used varied across studies Dose of ACE inhibitors

Thank you


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