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Pre-anti TNF treatment screening - where are we now?

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Presentation on theme: "Pre-anti TNF treatment screening - where are we now?"— Presentation transcript:

1 Pre-anti TNF treatment screening - where are we now?
Onn Min Kon TB Clinics St Mary’s Hospital + Hammersmith Hospital

2 Latent TB Infection in Rheumatological Conditions An ongoing debate…….
Epidemiology How do we evaluate LTBI? TST IGRA CXR

3 Anti-TNF- therapies k Infliximab (Remicade) - chimaeric MoAB
Mouse binding site for TNF-a Infliximab (Remicade) - chimaeric MoAB Adalimumab (Humira) - fully human MoAB Golimumab (Simponi) - human IgG1 k MoAB Certolizumab pegol (Cimzia) - PEGylated Fab' fragment of a humanized TNF inhibitor MoAB Human (IgG1) Enbrel (Etanercept) : soluble TNF-receptor dimeric p75 TNFR bound to Fc of IgG1

4 Post 4 months anti-TNF

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6 Infliximab and TB Keane et al, NEJM 2001
70 reported cases from 147,000 given infliximab worldwide between 40 (56%) extra-pulmonary TB (US rate 18%) 17 (24%) disseminated TB (US rate < 2%)) Most within 3 treatment cycles (median 12 wks) No granuloma in lung biopsy in one patient Probable reactivation 64/70 patients from areas of low incidence (< 20 per 100,000)

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8 Different risks associated with specific agents
Tubach et al Arthritis Rheum 2009 French registry data 3y on TB Case control analysis to investigate risk of TB associated with specific anti-TNF agents 69 patients (40 RA, 18 spondyloarthritides, 9 inflammatory colitis, 1 psoriasis) treated with various anti-TNF agents Standardised incidence ratios of TB: Infliximab ( ) Adalimumab (20.3 – 42.4) Etanercept ( )

9 Risk of tuberculosis in patients with rheumatoid arthritis in Hong Kong - the role of TNF blockers in an area of high tuberculosis burden RA compared to the general population Hong Kong 2004 and 2008 2441 RA patients followed at the 5 centres Standardised Incidence Ratio Active TB - - TNF naïve RA: 2.35, 95% CI , p=0.013 - TNF treated RA: 34.92, 95% CI , p<0.001 Independent variables associated with increased risk of active TB - older age at study entry (RR 1.05, p=0.013) - a past history of pulmonary TB (RR 5.48, p=0.001) - extra-pulmonary TB (RR 16.45, p<0.001) - Felty's syndrome (RR 43.84, p=0.005) - prednisolone>10mg daily (RR 4.44, p=0.009) - TNF blockers (RR 12.48, p<0.001) Tam LS et al. Clin Exp Rheumatol Sep-Oct;28(5):679-85

10 Different risks associated with specific agents
British Society for Rheumatology Biologics Registry (BSRBR) adalimumab (144 events/ pyrs) infliximab (136 events/ pyrs) etanercept (39 events/ pyrs) IRR compared with etanercept-treated patients - infliximab was 3.1 (95% CI 1.0, 9.5) - adalimumab 4.2 (95% CI 1.4, 12.4)

11 Risks associated with different countries
Infliximab Spanish registry per Korea per Japan per Portugal per USA per Sweden per

12 Rheumatoid Arthritis RR 3.2 Ankylosing spondylitis RR 4.2
Analysis database of linked statistical records : Hospital admissions and death certificates for the whole of England (1999 to 2011) + Oxford Record Linkage Study - southern England Rate ratios for TB comparing immune-mediated disease cohorts with comparison cohorts Particularly high levels of risk : Addison's disease (rate ratio (RR) = 11.9 (95% CI 9.5 to 14.7)) Goodpasture's syndrome (RR = 10.8 (95% CI 4.0 to 23.5)) SLE (RR = 9.4 (95% CI 7.9 to 11.1)) polymyositis (RR = 8.0 (95% CI 4.9 to 12.2)) polyarteritis nodosa (RR = 6.7 (95% CI 3.2 to 12.4)) dermatomyositis (RR = 6.6 (95% CI 3.0 to 12.5)) scleroderma (RR = 6.1 (95% CI 4.4 to 8.2)) autoimmune hemolytic anemia (RR = 5.1 (95% CI 3.4 to 7.4)) Rheumatoid Arthritis RR 3.2 Ankylosing spondylitis RR 4.2 Crohn’s RR 3.7 Psoriasis RR 2.6

13 Corticosteroids and risk of TB
Arthritis Rheum Feb 15;55(1): Glucocorticoid use, other associated factors and the risk of tuberculosis. Jick SS, Lieberman ES, Rahman MU, Choi HK. Case-control TB cases UK GP Research Database 4 controls were matched to each case 497 new cases of tuberculosis and 1,966 controls derived from 16,629,041 person-years at risk (n = 2,757,084 persons) Adjusted odds ratio TB for current use glucocorticoid compared with no use was 4.9 (95% confidence interval [95% CI] ) <15 mg 2.8 (95% CI ) >15 mg of prednisone or its equivalent daily dose were and 7.7 (95% CI ) AOR of TB 2.8 for patients with BMI <20 compared with normal AOR 1.6 for current smokers compared with nonsmokers 3.8 history of diabetes 3.2 emphysema 2.0 bronchitis 1.4 asthma (all P values <0.05)

14 Agent Adjusted RR Any DMARDs 3.0 MTX 3.4 Leflunomide 11.7 Cyclosporine 3.8 Other 1.6 Corticosteroids 2.5 Arthritis Rheum Mar 15;61(3):300-4. Rheumatoid arthritis, its treatments, and the risk of tuberculosis in Quebec, Canada. Brassard P et al.

15 The missing ‘gold standard’
So how do we diagnose LTBI in pre-TNF cases? The missing ‘gold standard’

16 So how do we diagnose LTBI in pre-TNF cases?

17 BTS 2005 – pre IGRA Thorax 2005;60:800-805
Recommendations for assessing risk and for managing Mycobacterium Tuberculosis infection and disease in patients due to start anti-TNF-a treatment. Thorax 2005;60:

18 If immunosuppressed no TST – risk stratify only If not immunosuppressed even if TST positive – risk stratify If negative TST – no action

19 TB risk adjusted x5 for anti TNF
Example Risk Tables Case type Annual risk of TB /100,000 TB risk adjusted x5 for anti TNF Risks of prophylaxis Risk/ Benefit conclusion White age 55-74 UK born 7 35 278 Observe Indian Sub continent age>35 In UK 3 years 593 2965 Chemo Prophylaxis Black African Age 35-54 168 840 Other ethnic Age 35+ In UK>5 years 39 195

20 Epidemiology versus risk of treatment
‘Individual’ risk Prior LTBI/ TB - never treated Close contact ‘Population’ risk Ethnicity Country of birth Where one lives

21 Plain CXR Evidence of LTBI?

22 Tuberculin Test

23 US statistics on latent TB activation and Mantoux

24 TST is attenuated in RA

25 Treatment of TST positive RA cases post implementation of screening
reduced TB incidence INH 9 months given if: 1) history of untreated or partially treated TB, or exposure to an active TB case 2) CXR showing residual changes indicative of prior TB infection 3) reaction of 5 mm in diameter TST or 2-step TST ( 359 patients - 28%) risk ratio for the incidence of active TB, compared with the background population, before March 2002 was (95% CI 14.05–45.17) and dropped 74% to 6.72 (95% CI 0.16–41.07) following the official recommendations date

26 Interferon-gamma release assays - new biomarkers of TB infection
2004 ELISpot quantification IFN-g-releasing cells ELISA quantification released IFN-g Interferon-gamma release assays - new biomarkers of TB infection 26

27 ELISA versus TST associated better with risk factors for LTBI ELISA poorly correlated to TST ELISA less affected by BCG Used 5mm cutoff (?higher TST +ve rate) TST remote to IGRA Swiss Hospital High (83%) BCG vaccinated TST still had a positive association

28 101 RA patients and 93 controls 5mm cutoff on RA/ 10mm in controls
Comparison of an interferon-gamma assay with tuberculin skin testing for detection of tuberculosis (TB) infection in patients with rheumatoid arthritis in a TB-endemic population. Lima Peru 101 RA patients and 93 controls 5mm cutoff on RA/ 10mm in controls QFT comparable between RA and controls (44.6% vs 59.1% NS) TST significantly less in RA (26.7%) than controls (65.6%) Ponce de Leon et al J Rheumatol May;35(5):

29 Overall IGRA in place of TST halved those receiving chemoprophylaxis
In ‘LTBI’ (CXR and/or history of contact) - Mariette X et al. Multi-centre French Study

30 Patients in 62 German rheumatology centres - screened TST and IGRA (TSPOT or QFT)
TST, TSPOT and QFT ‘LTBI’ 8.0% - positive TST and no previous BCG 7.9% - positive IGRA 11.1% Combination Clinical risk factors (CRF) for LTBI in 122 patients TST influenced by CRF (OR 6.2; CI 4.08 to 9.44, p<0.001) and BCG vaccination status (OR 2.9; CI 2.00 to 4.35, p<0.001) QFT and TSPOT only influenced by CRF (QFT: OR 2.6; CI 1.15 to 5.98, p=0.021; TSPOT: OR 8.7; CI 4.83 to 15.82, p<0.001) ‘In patient populations with low rates of TB incidence and BCG vaccination, the use of both TST and IGRA may maximise sensitivity in detecting LTBI but may also reduce specificity’

31 Combined TST and IGRA highest sensitivity
Prignano F Florence, Italy Combined TST and IGRA highest sensitivity

32 Overlapping positives and context
All BCG naive BCG Hsia et al.

33 Even small doses of steroids affect QFT

34 A UK study Singanayagam A et al. Thorax 2013;68:955-961
Flow chart of patient entry into study. Abbreviations: BTS, British Thoracic Society; CXR, chest radiograph; TB, tuberculosis; TNF, tumour necrosis factor; TST, tuberculin skin test. Singanayagam A et al. Thorax 2013;68:

35 Overlapping yield for tests when mutually positive.
Singanayagam A et al. Thorax 2013;68: Copyright © BMJ Publishing Group Ltd & British Thoracic Society. All rights reserved.

36 3/7 triple positive 2/7 TST only 2/7 double IGRA only (total 5/7 double IGRA)

37 Case 1 48 year old woman (?ethnicity) with IBD TST negative / Tspot indeterminate No prophylaxis – stopped Infliximab Three months later - Travelled in country incidence 101 per Returned - TB meningitis 5 weeks later and died 2 weeks later Case 2 41 year old Moroccan man with Ankylosing Spondylitis TST/Tspot negative - Infliximab Travelled to Morocco (approximately 82 per 100,000) 6 weeks Returned 3 months later EPTB - M.bovis Thorax :

38 What we think we know in inflammatory disease……
Differential effect of anti-TNF treatment - type and setting Steroids and Immunosuppression affects IGRA and TST sensitivities IGRA more specific than TST IGRA and TST in inflammatory disease - only minor overlap QFT versus T Spot in inflammatory disease - some overlap Epidemiology and TST or IGRA - only minor overlap ?Double and triple tests increase ‘sensitivity’ In moderate to high prevalence or risk factors > 1 mode In low incidence or no risk factors + immunocompetent – - 1 mode reasonable as likely low false negative (?IGRA) Patients develop TB - post negative screening

39 BSR 2010 Recommendation 4: prior to commencing treatment with anti-TNF therapy, all patients should be screened for mycobacterial infection in accordance with the latest National guidelines. Active mycobacterial infection needs to be adequately treated before anti-TNF therapy can be started. (Level IIb evidence, Grade of recommendation B.) Recommendation 5: prior to commencing anti-TNF therapy, consideration of prophylactic anti-TB therapy (as directed by the latest National guidelines) should be given to patients with evidence of potential latent disease (past history of TB or abnormal chest X-ray). (Level IIb evidence, Grade of recommendation B.) Recommendation 6: all patients commenced on anti-TNF therapies should be closely monitored for mycobacterial infections. This should continue for at least 6 months after stopping treatment due to the prolonged elimination phase of the drug. (Level IV evidence, Grade of recommendation C.)

40 Anti-TNF and TB screening - suggested approach
Use IGRA/ TST/ CXR – chemoprophylaxis if any positive If negative and immunosuppressed - use epidemiological risk factors and history of recent exposure/ new entrant + balance treatment risk Newly acquired infection and repeat screening: no guidance Need to have high index of suspicion for TB

41 ‘Imperial’ Model Yes No Either test positive or high risk
Symptoms suggest active TB/contact history or previous history of untreated TB/abnormal chest radiograph? Yes No Fully investigate to rule out TB OR Offer chemoprophylaxis if no active TB and prior untreated or evidence granulomas Perform TST and IGRA and risk assess using BTS risk stratification tables Either test positive or high risk All tests negative and low risk Treat with chemoprophylaxis New entrant to UK < 5 years AND on immunosuprressants? Yes No ‘Imperial’ Model Risk assess by using originating country rates High risk low risk Treat with chemoprophylaxis No treatment required

42

43 Sester 2014 – a TBNet study AJRCCM In RA:
Indeterminates QFT>Elispot More +ve TST>IGRAs

44 All 3 tests Best correlation IGRA to IGRA Lesser correlation TST to either IGRA

45 Sester et al 2014 in press AJRCCM
Mixed conditions – retrospective Some given chemoprophylaxis Test modality – none ideal TST most predictive in HIV All who were given chemoprophylaxis - none progressed

46 IGRA in all - Is it cost effective? BSR 2013
At the age of 50 years UK White Caucasian population - incidence of active TB disease 5/ - incidence of latent TB is approximately 10 times this level (50/ ) - Number of tests to detect 1 case LTBI 2000 - (£ Quantiferon and £ T-spot) Cost effectiveness better in older patients Cost effectiveness worse (more than double the cost) < 35 years Cost-effectiveness better for ethnic minorities - South Asia 120/ numbers needed to test 82 - black Africans 240/ numbers needed to test 41 ‘The true-negative predictive value of a negative test or the true-positive predictive value of a positive test is still not known,’

47 29 year old woman RA sulphasalazine and hydroxychloroquine (MTX prior)
UK born caucasian No TB contacts/ HIV negative Holidays - Sri Lanka 2009/ Egypt 2010 Oct 2013 – CXR NAD/ TST and IGRA non reactive Nov 2013 – Infliximab

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50 Progress…. BAL negative but commenced Rx for TB
EBUS – non caseating granuloma/ PCR and smear negative Culture positive Visited Sri Lanka pre screening – 66 per 100,000 Visited Egypt pre screening – 17 per 100,000 Lives in Brent per 100,000

51 Summary points Immune mediated disease - higher risk for TB
Some other therapies increase risk of progression Screen for LTBI/TB before initiating steroids/immunosuppressive treatment/anti-TNF Effect of steroids and DMARDs on tests Most ‘sensitive’ approach is tri-modality (TST/IGRA/CXR) IGRA more specific (+ more practical?) but prognosis unclear Epidemiology useful once on immunosuppressants Rifampicin/Isoniazid 3 months OR Isoniazid 6 months if drug interactions important Consider rescreen if new exposure or travel Vigilance even in ‘screen negatives’

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53 Unanswered questions in pre-TNF screening
Prognostic value of a TST+ve/ IGRA –ve test? Prognostic value of a TST-ve/ IGRA +ve test? What is the utility of just using a TST or IGRA? Hepatotoxicity in this cohort Cost effectiveness of mode of approach in low versus high incidence settings or individuals How do we quantitate high risk travel? How do we rescreen? We think we know what we don’t know… NICE due 2015…..

54 https://www1. imperial. ac


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