Safety & Tolerability of Biologics Dubai, United Arab Emirates January 19th, 2009 Prof. Joachim R....

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Safety & Tolerability of Safety & Tolerability of Biologics Biologics Dubai, United Arab Emirates Dubai, United Arab Emirates January 19th, 2009 January 19th, 2009 Prof. Joachim R. Kalden Prof. Joachim R. Kalden Director emeritus Director emeritus Department of Internal Medicine III Department of Internal Medicine III Div. of Molecular Immunology Div. of Molecular Immunology Niklolaus-Fiebiger-Center Niklolaus-Fiebiger-Center University of Erlangen-Nuremberg University of Erlangen-Nuremberg

Transcript of Safety & Tolerability of Biologics Dubai, United Arab Emirates January 19th, 2009 Prof. Joachim R....

Safety & Tolerability of Safety & Tolerability of BiologicsBiologics

Dubai, United Arab EmiratesDubai, United Arab EmiratesJanuary 19th, 2009January 19th, 2009

Prof. Joachim R. KaldenProf. Joachim R. KaldenDirector emeritusDirector emeritus

Department of Internal Medicine IIIDepartment of Internal Medicine IIIDiv. of Molecular ImmunologyDiv. of Molecular Immunology

Niklolaus-Fiebiger-CenterNiklolaus-Fiebiger-CenterUniversity of Erlangen-NurembergUniversity of Erlangen-Nuremberg

OverviewOverview

Monitoring of safety: registries

Safety: Tuberculosis

Safety: Serious infectious events

Safety: Malignancy

Safety: Lymphoma

European registriesEuropean registries

Post approval commitment to EMEA that Wyeth would monitor safety

Professional Societies independently supported establishment of registries to monitor safety

Established in a number of countries independently but with different approaches, with or without

Reference groups

Efficacy endpoints

Why important?Why important?

Only source of comparisons with competitors

Providing rich stream of data for differentiation

Currently under analysed – registries focusing on limited number of questions

Potential for pooled analyses to give even greater power

Why are registries important Why are registries important to Wyethto Wyeth

Meet post approval commitment

Large cohorts of Enbrel patients treated in clinical practice

Source of comparative data with MAbs

Resource for evaluation of safety and efficacy

Potential to combine data to provide increased power to undertake analyses of rare events

Original registriesOriginal registriesSweden ARTIS – nationwide but organised on a regional basis

– STURE – Stockholm registry– SSAGT – Southern Sweden

Both ARTIS and the regional registries publish results No concurrently recruited controls but use other RA cohorts for reference

UK BSRBR - national registry powered to detect 2 fold increase in lymphoma in

comparison to a DMARD treated cohort

Germany RABBIT – national registry to describe the long term effectiveness

– treatment continuation – clinical outcomes – long term hazards– direct and indirect costs

Comparison with conventional DMARD treatment from national database

These 3 registers meet together annually with companies

Use standard report which is sent companies twice a year for inclusion in safety reports to regulators

Estimates of patient Estimates of patient numbersnumbers

Country StartedDate of

EstimateTotal TNFi

Controls

Sweden 1999 2008 14000 National DB

UK 2001 2008 12000 3300

Germany 2001 2008 5300 National DB

France

Spain 2000 2007 8320 N/A

Norway 2000 2006 1500 DMARDs

Denmark 2000 2006 1021 None

Czech 2001 2007 1040

Switzerland 2000 2005 1600 SCQM

Total 44781

Monitoring of safety: Monitoring of safety: problemsproblems

Controlled trials

Relatively few pts, not the same patient population as in clinical practice, seldom long-term, randomisation may create well-balanced comparator

Spontaneous reporting

Very low reporting rates; only certain adverse drug reactions (with attribution)

Long-term observational studies

Difficult to obtain enough compliance, need for comparator data

Advantages and Advantages and disadvantages of registriesdisadvantages of registries

Advantages

Usually much larger than clinical trials

Greater power than RCTs to detect rare events

Enrolment reflects clinical practice

Potential for studying numerous outcomes

Suited to long term follow-up

Can examine complex situations not suited to RCTs

Results can usually be generalised

Disadvantages

Non randomised, subject to bias

Confounding by indication

Missing data

Potential for confounding

Channelling bias

Choice of reference group

Conditions Where Mechanism of Conditions Where Mechanism of Action Differences May Affect Action Differences May Affect

Safety ProfileSafety Profile

TB

Serious Infectious Events (SIEs)

Malignancy

Tuberculosis (TB)Tuberculosis (TB)

FDA MedWatch spontaneous FDA MedWatch spontaneous reporting system (AERS): reporting system (AERS):

20012001

TB associated with infliximab

70 reported cases of TB after treatment with infliximab for a median of 12 weeks

40/70 had extra-pulmonary disease

Normal

Post-infliximab

Keane J. et al. NEJM 2001;345:1098-1104.

Inhibition of IFN gammaInhibition of IFN gamma

Effect of drugs on IFN production in whole blood cultures stimulated with M tb culture filtrate. Median and interquartile ranges n=15

Saliu et al. J Infect Dis 2006 .

TB associated with clinical TB associated with clinical trials: Ttrials: TB events despite B events despite

screeningscreeningAnti-TNF Agent Required

Screening for TBTB Event Rate(per 1000 pt-yr)

Etanercept (soluble receptor) Not mandated

Pooled analysis of all clinical trials across indications (Europe / N. America)4 (N=11,390; 2 cases TB)

0.11

Adalimumab (mAb) Yes

Pooled analysis Europe1 3.3

Pooled analysis N. America1 0.8

REACT Trial7 5.0

Infliximab (mAb) Yes

Pooled analysis Not available

START Trial2 13.1

Infliximab vs abatacept trial3 12.1

Certolizumab (mAb) Yes

Pooled analysis Not available

RAPID I Trial4 6.9

RAPID II Trial5 12.5

Enbrel and TB: PortugalEnbrel and TB: Portugal

0

0.5

1

1.5

2

2.5

% TB

Infliximab Adalimumab Etanercept

Percentage of Treated Patients Developing TB

Etanercept

Infliximab

Adalimumab

2.3%(4/171)

1.5%(8/456)

0.3%(1/333)

TB events associated with anti-TNF agents were compared for 960 pts treated between 1999 – 2005 in Portugal*:

* 13 events total: 9 RA (n=639); 3 AS (n=200); 1 PsA (n=101).

Fonseca JE et al. Acta Reumatol Port. 2006;31:247-53.

BIOBADASER: Risk and BIOBADASER: Risk and incidence of TB in Spainincidence of TB in Spain

Treatments starts

Patient-years of exposure

to TNF antagonists

CasesTB rate per 100,000 p/y

RR vs. general population

(IC 95%)

RR vs. EMECAR

(IC 95%)

<March 2002 8,671 41 472 (384–642) 19 (11–32) 5,8 (2,5–15,4)

>March 2002100% compliance

<100% compliance

8,7174,576

4,170

152

13

172 (103–285)43 (11–175)

311 (181–636)

7 (3–13)1,8 (0,28–7,1)

13 (6–25)

2,4 (0,8–7,2)Undetermined

4,8 (1,04–44,3)

Annual incidence rate / 100,000 p. y. General population 25; EMECAR (RA pre-biologic era)

Carmona et al. Arthritis Rheum 2005; 52(6):1766-72; Gómez-Reino et al. Arthritis Care & Research 2007.

BSRBR: Anti-TNFs and risk of BSRBR: Anti-TNFs and risk of TBTB

50

191

136

0

20

40

60

80

100

120

140

160

180

200

Ra

te/1

00

,00

0 y

rs

Etaner

cept

Adalim

umab

Infli

xim

ab

Dixon WG et al. THU0134. EULAR 2008

RATIO: Factors predictive of RATIO: Factors predictive of TBTB

Last anti-TNF received

No. of cases HR (95% CI) vs etanercept

P-value

Adalimumab 27 10.05 (1.92-52.61) 0.006

Etanercept 35

Infliximab 5 8.63 (1.38-53.78) 0.02

Use of specific biologics is predictive of TB in anti-TNF-treated patients (n=67)

• Incidence TBC 39.2/100,000 pt/year • ETA: 6.0/100,000 pt/year • INF or ADA: 71.5/100,000 • General Population: 8.7/100,000 pt/year• Two thirds (30/45) of the patients who developed TB had negative skin tests

Tubach F et al. OP-0014. EULAR 2008

Serious Infectious Serious Infectious Events (SIEs)Events (SIEs)

Etanercept and serious infectious Etanercept and serious infectious eventsevents

PooledPooled analysis of randomised clinical trials for analysis of randomised clinical trials for Enbrel in RAEnbrel in RA

00.5

11.5

2

2.53

3.5

Events per 100 pt-yr

Placebo/control

Etanercept

Etanercept open labelextensions

Serious infectious events

No difference vs. placebo

Hamza S et al. EULAR 2007 ARD 2007;66(2): THU0153 Abstract

Etanercept and opportunistic Etanercept and opportunistic infectionsinfections

PooledPooled analysis of randomised clinical trials for analysis of randomised clinical trials for Enbrel in RAEnbrel in RA

00.050.1

0.150.2

0.250.3

0.35

Events per 100 pt-yr

Placebo/control

Etanercept

Etanercept open labelextensions

Opportunistic infections

No difference vs. placebo

Hamza S et al. EULAR 2007 ARD 2007;66(2): THU0153 Abstract

BSRBR: Etanercept and BSRBR: Etanercept and mAbs vs. DMARDSmAbs vs. DMARDS

0

1

2

3

4

5

6

Adjusted Incidence Rate Ratio

SIE rates relative to DMARDS in first 90 days of therapy

ETN INFLIX ADAL

Dixon WG et al. A&R 2007;56(9):2896-904

RABBIT: Etanercept and SIEs RABBIT: Etanercept and SIEs - Herpes virus infections- Herpes virus infections

RABBIT Registry (Germany)*

Evaluated RA patients for reactivation or first infection of Herpes virus infections (Varicella Zoster Virus, Herpes simplex Virus)

“Our data suggest a different mode of action of TNF antibodies and the soluble TNF receptor fusion protein etanercept in respect to the reactivation of a latent herpes infection.”

Reactivation of Herpes virus infections suggest a loss of cell-mediated immunity

Hazard Ratio

P value

Etanercept 1.2 0.53

Infliximab 2.1 0.01

Adalimumab 2.0 0.01

Risk of Infection vs. Control

*Strangfeld A. et al. Oral Presentation Abstract OP0214 Friday June 15, 2007 EULAR 2007

ARTIS: Hospitalisation risk ARTIS: Hospitalisation risk for infection – all anti-TNFs for infection – all anti-TNFs

0

0.5

1

1.5

Time since treatment start

Year 2 Year 3Year 1

Rel

ativ

e ri

sk (

9.5%

CI)

Askling J, et al. Ann Rheum Dis. 2007 66:1339–44

ARTIS: Serious infection rate in ARTIS: Serious infection rate in patients treated with a 2nd TNF patients treated with a 2nd TNF

antagonistantagonist

0

4

8

12

16

First TNF inhibitor Second TNF inhibitor

Infe

ctio

ns

lead

ing

to

h

osp

ital

isat

ion

/100

p

atie

nt-

year

s

4.5

7.0

All TNF inhibitor-treated patients

(n=4,167)

Patients hospitalized prior to treatment with TNF inhibitor

(n=2,692)

0

4

8

12

16

First TNF inhibitor Second TNF inhibitor

Infe

ctio

ns

lead

ing

to

h

osp

ital

isat

ion

/100

p

atie

nt-

year

s

5.4

10.0

Crude Incidence

Adapted from Askling J, et al. Ann Rheum Dis. 2007 66:1339–44

MalignanciesMalignancies

MalignancyMalignancy

Lower Risk Higher Risk

Lymphoma only

All malignancies

Skin cancer

1.0

0.7(OR) 0.3-1.6

1.0 (OR) 0.8-1.3

1.2 (OR) 1.0-1.5

13001

19591

13001

Point Estimate 95% CIAnalyses Number of Patients

Malignancy Risk: ENBREL vs. control, derived from a large patient database*

*Wolfe F and Michaud K. A&R 2007;56:1433-1439; 2886-2895.

Swedish national registry ARTIS

Data compared with Swedish nationwide cancer & census registers

ARTIS: Anti-TNF and solid ARTIS: Anti-TNF and solid cancerscancers

Prevalent RA n = 53067

Incident RAn = 3703

RA on anti-TNFn = 4160

nSIR

(95% IC)n

SIR (95% IC)

nSIR

(95% IC)

All cancers 3379 1.05 (1.01-1.08) 138 1.1 (0.9-1.3) 67 0.9 (0.7-1.2)

Melanoma 120 1.19 (0.99-1.42) 4 0.9 (0.2-2.2) 1 0.3 (0.0-1.8)

Askling et al. Ann Rheum Dis 2005;64:1414–1420

Swedish national registry ARTIS

Data compared with Swedish nationwide cancer & census registers

ARTIS: Anti-TNF and solid ARTIS: Anti-TNF and solid cancerscancers

Prevalent RA n = 53067

Incident RAn = 3703

RA on anti-TNFn = 4160

nSIR

(95% IC)n

SIR (95% IC)

nSIR

(95% IC)

All cancers 3379 1.05 (1.01-1.08) 138 1.1 (0.9-1.3) 67 0.9 (0.7-1.2)

Melanoma 120 1.19 (0.99-1.42) 4 0.9 (0.2-2.2) 1 0.3 (0.0-1.8)

Skin (non-melanoma)

374 1.66 (1.50-1.84) 5 0.7 (0.2-1.6) 11 3.6 (1.8-6.5)

Lung 330 1.48 (1.33-1.65) 23 2.4 (1.5-3.6) 10 1.8 (0.9-3.3)

Askling et al. Ann Rheum Dis 2005;64:1414–1420

ARTIS (2008): No increase in ARTIS (2008): No increase in cancer following anti-TNF cancer following anti-TNF

therapytherapy

No. primary cancers

Relative risk (95% CI)

Compared to national RA cohort

Compared to general population

Anti-TNF treatment

169 0.94 (0.80-1.12) 1.04 (0.89-1.21)

No increased cancer risk with anti-TNF therapy

Askling J et al. OP-0013. EULAR 2008

RA and cancerRA and cancer

National Data Base for Rheumatic Diseases (NDBRD)

13,001 RA patients (49,000 p/y) of observation (1998/2005)

– At least 1 year of follow-up

– 49% of whom exposed to biological therapy

Cancer rates compared with population rates US National Cancer Institute database

Incidence of new cancers in patients with anti-TNF/ without anti-TNF

ORs as estimates RR adjusted for 6 confounders: age, sex, education level, smoking history, RA severity and prednisone use

Wolfe , ACR 2006 and Arthritis and Rheum 2007

LymphomaLymphoma

Lymphoma and rheumatic Lymphoma and rheumatic diseasedisease

Several studies suggested an increased lymphoma risk in patients with rheumatic disease

Risk may be tied to degree of disease severity and inflammation

What is the impact of biologics on this?

Lymphoma risk and RA Lymphoma risk and RA disease activity: Pre-disease activity: Pre-

biologicsbiologics

Patients: Swedish in-patient registry with RA 1964–1995, who developed lymphoma > 1 year after discharge (RA and lymphoma diagnosis validated)

Controls: Individually matched RA patients without lymphoma from same source (378 cases and controls)

All records retrospectively reviewed to assess disease activity and DMARD therapy

Baecklund E, et al. Arthritis Rheum. 2006;54:692-701.

Outlook

TNFalpha antagonists might improve or prevent important comorbidities

Cardiovascular diseases

Lymphomas

By:

Decreasing inflammation

Decreasing activation of endothelial cells

Normalizing pathologic lipid profiles

Normalizing insulin resistance

0.1 1 10 100

Low

Medium

High

Unadjusted Odds Ratio (95% CI)

Lymphoma risk and Lymphoma risk and rheumatoid arthritis rheumatoid arthritis

disease activitydisease activity

7.7

71.3

Infla

mm

ator

y A

ctiv

ity

Baecklund E, et al. Arthritis Rheum. 2006;54:692-701.

No increased risk of lymphoma No increased risk of lymphoma in RA patients upon treatment in RA patients upon treatment

with anti-TNFwith anti-TNF

Swedish population-based cohort study of RA pts: one prevalent cohort (n = 53067) one incident cohort (n = 3703) one TNFi -treated cohort 1999 through 2003 (n = 4160)

Prevalent and incident RA pts have an increased risk of lymphoma (SIR = 1.9 and 2.0, respectively) and leukaemia (SIR = 2.1 and 2.2, respectively)

RA pts treated with TNF antagonists had a tripled lymphoma risk (SIR = 2.9)

However, after adjustment (sex, age, and disease duration) the risk was not higher than in the other RA cohorts

.

Askling et al. Ann Rheum Dis 2005;64:1414–1420

Further safety issues

1. Infections

2. Pregnancies

3. Non-tb pulmonary disease

4. Heart failures

5. Surgical issues

6. Vaccination

7. Haematological chances

8. Demylating diseases

9. Allergic reactions

Summary: Areas in which data Summary: Areas in which data suggest a difference between mAbs suggest a difference between mAbs

and Etanerceptand Etanercept

Tuberculosis

Risk of developing TB appears to be greater with mAbs than with Etanercept based upon: Pooled analyses of randomized controlled trials Multiple national registries MOA

MalignancyPossible risk for development of lymphomas or other malignancies in patients treated with a TNF-antagonist, including Etanercept, cannot be excluded Further analyses pending

Serious Infections Differences in risk for infections may exist between Etanercept and mAbs; however, data are inconclusive RCTs suggest a difference Registries suggest no difference