Comparison studies on safety and efficacy different generations of recombinant products Comparison studies on safety and efficacy different generations.

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Comparison studies on safety and efficacy different generations of recombinant products Comparison studies on safety and efficacy different generations of recombinant products Alfonso Iorio Parsian Azadi Hotel-Tehran-Iran, October 23 th 2014

Alfonso Iorio Associate Professor, Clinical Epidemiology & Biostatistics and Medicine, McMaster University Director, Adult Hemophilia Centre, Hamilton Chair, Health Information Research Unit, McMaster University Co-founder Italian Registry for Congenital Coagulopathies; Chair, Data and Demographics Committee, WFH Chair Canadian Hemophilia Registry Program Associate Editor: Blood Coagulation Disorders of the Cystic Fibrosis and Genetic Disorders Review Group of the Cochrane Collaboration

References Iorio, A. CDRS, 9, CD Iorio A. Haemophilia, 2014 doi: /hae Fischer, K. Blood, 2013: 122(7), 1129–36. Xi, M. JTH, 2013; 11(9), 1655–62. Iorio A. JTH 2010;8:1256–65. Xi, M et al. Journal of Thrombosis and Haemostasis : JTH, 2013; 11(9), 1655–62.

Efficacy

Evidence about efficacy Level I: Prophylaxis reduces bleeding rate by 10 Cochrane Collaboration SR: Level II: Higher intensity produces better results Swedish vs Dutch Regimen Canadian escalating dose study Level II: Tailoring to the individual need reduces wastage and costs CollinsMUSFIT

Post Authorization Safety Studies Iorio A. Haemophilia, 2014 doi: /hae.12480

0/43 5/358 Iorio A. Haemophilia, 2014 doi: /hae.12480

Secondary Analyses Patient Number Bleeding Events (patients) Annualized Bleeding Ratemedian (Q1, Q3) All patients1, (0.60, 12.90) Patients prescribed OD at enrolment (2.27, 27.29) Prophylaxis (on study, any frequency) (0, 6.73) Prophylaxis (on study, ≥twice/week) (0, 4.80) PASS Effectiveness Outcomes Iorio A. Haemophilia, 2014 doi: /hae.12480

Safety

? Population (PUPs vs PTPs) Outcome (inhibitors) Design and time

PTPs (vs PUPs) as a model to study immunogenicity Strenghts Already tolerized No other con causes Easier to recruit adults low, if any, risk of events Weaknesses..to a specific FVIII Assumptions!! Easy and optimal are enemies Low prevalence BU? NIAb? threshold?

Characteristics of inhibitors in PTPs As a result of our systematic review, we identified: 39 de novo inhibitors reported in 19 publications. Individual patient data has been collected for: 29 (74%) inhibitor cases overall 14 (36%) from CRFs completed by study investigators 15 (39%) extracted from patient-level information available in the published reports.

Evidence in PTPs

PTP meta-analysis Xi, M et al. Journal of Thrombosis and Haemostasis : JTH, 2013; 11(9), 1655–62.

0/29 1/30 1/25

Inhibitor rates, selected recombinant FVIII ProductStudies Rate (x 100 py) 95% CI Advate Kogenate90.12( )* Refacto PD factor VIII * 0.26 ( ) at fixed effect model Xi, M et al. Journal of Thrombosis and Haemostasis : JTH, 2013; 11(9), 1655–62.

Sensitivity analysis VariableProportionHeterogeneity Designwithinbetween RCT(4)0.012 ( ) Low P=0.231 Prosp (20)0.015 ( ) Low Retrosp (8)0.019 ( ) Moderate Other (3)0.010 ( ) Low Xi, M et al. Journal of Thrombosis and Haemostasis : JTH, 2013; 11(9), 1655–62.

Aledort LM et al. JTH 2011;9:2180–92. Iorio A et al. JTH 2011;9:2176–9. Aledort LM et al. JTH 2011;9:2325–7.

Science is built up of facts, as a house is built up of stones; but an accumulation of facts is no more science than a heap of stones is a house Henri Poncare, 1854–1912

The EUHASS study Strengths Prospective, very large inception cohort Controlled (parallel, head- to-head) Limitations Minimal information collected No multivariable approach Confounding still possible Dynamic cohort not always at steady-state

EUHASS: Inhibitors in PTPs ProductInhibitorsPt/yrRate(95% C.I.) ( ) ( ) ( ) ( ) Data from the EUHASS annual reports to the Investigators

Findings in PTPs No difference in inhbitor rates between Plasma derived and recombinants Different recombinants When the proper analysis method is used

Evidence in PUPs

Univariate Multivariate..”homogeneous results” Calvez T et al J Thromb Haemost 2008

Inhibitor risk in PUPs: a meta-analysis Aim of the study To produce an updated systematic review of the evidence regarding the role of PD versus R factor concentrates in modulating inhibitor incident rate To investigate the role of study- and patient-level characteristics on the estimated effect Iorio A et al. JTH 2010;8:1256–65.

STUDY SELECTION 17 pdFVIII cohorts 15 rFVIII cohorts 19 prospective cohorts 13 retrospective cohorts 2094 pts / 420 inhibitors +13 over Wight and Paisley Results Iorio A et al. JTH 2010;8:1256–65.

Pooled Analysis of Single Arm Studies (Pooled incidence rates) pdFVIIIrFVIII P value (Cochrane Q) 14.3 ( )27.4 ( )<0.001 Iorio A et al. JTH 2010;8:1256–65.

FProb > FAdjusted R 2 Univariable Models kind of concentrate study design Multivariable Model MODEL kind of concentrate study design kind of conc*test freq Kind* of conc*study period Kind of conc*FUP study design * test freq study design * study period study design * FUP-- ANOVA Iorio A et al. JTH 2010;8:1256–65.

a) Testing frequency (months) White = rFVIII Grey = pdFVIII Y-axis shows the logit of the incidence rate of inhibitor. Each bubble represents a single study, the diameter being inversely proportional to the variance of the study. b) Testing frequency (months) Only prospective studies Meta-regression Iorio A et al. JTH 2010;8:1256–65.

EAHAD COLLABORATIVE GROUP ON TREATMENT RELATED INHIBITOR RISK Predictors of inhibitor development in Hemophilia A previously untreated patients: the role of factor concentrate type. An individual patient data meta-analysis. Iorio A et al. WFH 2012, Paris, Submitted

Pooled cohort of consecutive patients from 6 Hemophilia Centres (5 European, 1 Israeli) 284 PUPs born between 1967 and 2011 Moderate-Severe 1 Hemophilia A Treated with pdFVIII or rFVIII concentrates, with high- dose 2 or low-dose regimen Followed up until =>200 ED 1 Baseline FVIII level ≤ 0.05 IU/dl 2 Median single dose received within 8 to 12 weeks after therapy start > 30 IU/kg of body weight Study design

Study methods 34 Cox regression analysis CART Propensity score matching –To adjust a Cox model –To calculate the Average effect of Treatment on the Treated (ATT)

Variables included : FVIII source FVIII source dose regimen dose regimen Classification and Regression Tree (CART)

Unpublished data omitted Analysis results did show that, when adjusting for covariates, there is no difference between plasma derived and recombinant Paper submitted to Thrombosis and Haemstasis

Cases At risk Data from the EUHASS annual reports to the Investigators Time (yr) Inhibitors (proportion) Inhibitors in PUPs (rate and 95% CI)

Data from the EUHASS annual reports to the Investigators

Year Inhib Exposed Proportion Data from the EUHASS annual reports to the Investigators

Basics PUPs PTPs

The RODIN study Strengths Naturalistic, large Controlled (parallel, head-to- head) Very high data quality Weaknesses Residual confounding Intrinsic to the design Analytical approach

Gouw, SC et al. The New England Journal of Medicine, 368(3), 231–9.

Unpublished data omitted Sensitivity analysis of the French data show that all the effect is due to 3 centers These were those observing low inhbitor rate with Kogenate in the early 2000, and likely selected high risk patients to be treated with kogenate

45 Inhibitor incidence per protocol 3 low titer (15.8%) FVIII inhibitors (≥ 0.6 and ≤ 5 BU/ml) 5 high titer (26.3%) FVIII inhibitors (> 5 BU/ml) Courtesy of Guenter Auesrwald: ASH, New Orleans, 2013.

Role of concentrate type: PUPs Not any important difference suggested by assessment of the overall body of evidence

Summary.1 47 The risk of inhibitors associated with treatment (source / dose) –Cannot be estimated from observational studies without accounting for the effect of confounders –The interaction between the candidate predictor and the confounders should always be tested

Summary.2 48 The risk of inhibitors associated with treatment (source / dose) –Might benefit from use of sophisticated statistical analysis tecniques, eg propensity score analysis –This might: Increase consistency of evidence from imperfect observation Help in better planning future studies

Thank You hemophilia.mcmaster.ca