Prognosis of MSHow to communicate it to people with MS
Gavin Giovannoni
Disclosures
I have received personal compensation for participating on Advisory Boards in relation to clinical
trial design, trial steering committees and data and safety monitoring committees from: Abbvie,
Almirall, Bayer-Schering Healthcare, Biogen-Idec, Canbex, Eisai, Elan, Fiveprime, Genzyme,
Genentech, GSK, GW Pharma, Ironwood, Merck-Serono, Novartis, Pfizer, Roche, Sanofi-
Aventis, Synthon BV, Teva, UCB Pharma and Vertex Pharmaceuticals.
Reasoning by analogy
Images courtesy of Professor Gavin Giovannoni
ESRF
end-stage renal failure
Images courtesy of Professor Gavin Giovannoni
Rheumatoid arthritis
End-stage joint disease
Images http://www.hopkinsarthritis.org/arthritis-info/rheumatoid-arthritis/ra-symptoms/
The treatment target in MS is an evolving and moving target
Relapses
Unreported relapses
Clinical disease progression
Subclinical relapses: focal MRI activity
Focal gray and white matter lesions not detected by MRI
Brain atrophy
Spinal fluid neurofilament levels
OCB-ve
Clinical activity
Focal MRI
activity
Hidden focal and diffuse MRI activity
Microscopic or biochemical pathology
Biomarkers
Early effective treatment
Stroke or brain attack: ‘time really is brain’
Passive Active
Early intervention and long-term prognosis
www.msbrainhealth.org
Giovannoni G, et al. Brain health: Time matters in multiple sclerosis. 2015 Available at www.msbrainhealth.org/report
Incre
asin
g d
isab
ilit
y
Time
Intervention
at diagnosis
Intervention
later
Potential
range of
outcomes
No treatment
Later intervention
Intervention at diagnosis
International policy initiative
www.msbrainhealth.org
DMT, disease-modifying therapy.
Images used with permission from Giovannoni G, et al. Brain health: Time matters in multiple sclerosis. 2015 www.msbrainhealth.org/report. Accessed 26 May 2016.
MS Brain Health vision and aim*
*Defined by MS Brain Health Steering Committee in 2015
Our overarching aim is to encourage the
widespread adoption of a therapeutic strategy
that aims to maximize the lifelong brain health of
every person with MS
Our vision is to create a better future for
people with MS and their families
Expert patient
Expert Patient
‘When acute disease was the primary cause of illness, patients
were generally inexperienced and passive recipients of medical
care. Now that chronic illness has become the principle medical
problem, the patient must become a co-partner in the process’
(Holman & Lorig 2000)
Concordance modelCompliance model
Neurologist decides diagnosis and
treatment
Neurologist’s task is to explain and
instruct
Neurologist’s task is to
comprehend
Successful outcome is compliance
Neurologist and patient negotiate
diagnosis and treatment
Neurologist elicits, explains, persuades
and accommodates
Patient explains, considers and
accommodates
Successful outcome is a negotiated
agreement
Moving from compliance to concordance
requires a culture change
Source: From Compliance to Concordance, 1997 Compliance vs. Adherence
Infographics
Rieckmann et al . Mult Scler Relat Disord 2015 May;4(3):202-18.
Telling it how it is
What is the risk of you not
being treated?
www.ms-res.org
Impact of disability on employment
Kobelt G. Presentation to EMSP, March 7th, 2017; Kobelt G, Mult Scler. 2017 [Epub ahead of print]
European burden of illness study:
Cross sectional study of 16,808 participants, 52% with RRMS, across 16 countries.
100
90
80
70
40
30
10
0
60
0
Pe
rce
nt
(%)
20
50
1.0 2.0 3.0 4.0 5.0 6.0 6.5 7.0 8.0 9.0
94.3 94.6 93.688.3 88.4
81.0
73.9 72.5
64.158.9 59.4
81.776.6
68.4
54.149.0
39.0
29.4 27.5
16.4 14.6
8.2
EDSS score
Patients below retirement age Patients below retirement age, employed or self-employed
Prognostic factors
Prognostic factors
1. Older age of onset (>40 years)
2. Male sex
3. Multifocal onset
4. Efferent system affected
a. Motor/weakness
b. Cerebellar
c. Bladder
5. Relapses
a. Partial or no recovery from initial
relapses
b. High relapse rate in the first 2-yrs (>
2 relapses)
6. Disability after 5 years (EDSS > 3.0)
http://multiple-sclerosis-research.blogspot.com/2014/02/clinic-speak-what-prognostic-group-do.html
7. Abnormal MRI
a. High lesion load (>9 lesions on MRI)
b. Gd-enhancing lesions
c. Posterior fossa lesions
d. Spinal cord lesions
e. Brain atrophy
8. Abnormal evoked potentials
9. Abnormal spinal fluid
a. Oligoclonal IgG bands
b. Raised neurofilament levels
10. Low vitamin D levels
11. Comorbidities
a. Smoker
b. Diabetes
c. Hypertension
d. Obesity
Time from disease onset to EDSS 6*
Pe
rce
nta
ge
of
pa
tie
nts
100
80
60
40
20
0
0 10 20 30 40 50
Time (yrs)
Number of relapses 1st and 2nd year
1
2
>/= 3
Relapses and EDSS
Scalfari A et al. Brain 2010;133:1914–29.
EDSS at 15-year follow-up
Figures reprinted from Bermel R et al. Ann Neurol 2013;73:95–103.
ED
S a
s fo
llow
-up
1
2
Quartile 1
Median 1.5
n=34
Quartile 2
Median 5.5
n=28
Quartile 3
Median 6.0
n=31
Quartile 4
Median 8.0
n=43
4.50
6.50
7.50
10.0
5.50
4.503.50
0.00
1
0
8
6
4
2
-
2
0
MSCRG study:
MRI at baseline,
Year 1 and 2
Assurance study:
Long-term clinical follow-up
Placebo
IM IFN β-1a
30 μg qwk Treatment chosen
By the treating physician
15 years2 years
Gd+
New T2
Relapse
Gd+
New T2
Relapse
8.96 (2.53, 31.65) <0.001
2.89 (0.88, 9.54) 0.080
4.44 (1.43, 13.85) 0.010
1.79 (0.62, 5.16) 0.284
2.62 (0.93, 7.43) 0.069
1.53 (0.56, 4.19) 0.408
Odds ratio of advancing into the
Worst quartile of EDSS change after 15 years
0 10 20 30 401
Early disease
activity*
OR (confidence
interval) p-value
Pla
cebo
IM I
FN
β-1
a
Bermel R et al. Ann Neurol 2013;73:95–103. EDSS, Expanded Disability Status Scale; Gd, gadolinium; IFN, interferon; IM, intramuscular; OR, odds ratio
CIS patients
n=40Healthy controls
n=30
p<0.0001
Deficits in memory, speed
of information processing,
attention and executive
functioning
Patients failing
≥2 cognitive tests
CIS, clinically isolated syndrome
Feuillet L et al. Mult Scler 2007;13:124–7.
Cognition
Brain atrophy occurs across all stages of the disease
De Stefano, et al. Neurology
2010
n= 963 MSers
Poor cognitive function in untreated patients predicts clinically
meaningful disability progression over 2 years
BL PASAT-3 ≤46
(1st tertile)
(n=542)
BL PASAT-3 47–60
(2nd and 3rd tertiles)
(n=1040)
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0.0
BL 12 24 36 48 60 72 84 96 108
Pro
po
rtio
n o
f p
ati
en
ts w
ith
co
nfi
rme
d p
rog
res
sio
n†
Time on study (weeks)Patients at risk
BL PASAT-3 ≤46
BL PASAT-3 47−60
542
1040
372
868
287
768
213
646
484
970
126
454
104
413
76
365
44
256
13
125
Best baseline factor predicting confirmed progression:
Data from placebo arms of four Biogen Phase 3 RRMS trials (AFFIRM, DEFINE, CONFIRM, ADVANCE*)
*AFFIRM, natalizumab vs placebo; DEFINE and CONFIRM, dimethyl fumarate vs placebo; ADVANCE, peginterferon beta-1a vs placebo. †Progression confirmed at 6 months on any of EDSS (≥1 point increase), T25FW, 9HPT, PASAT-3 (≥20% worsening), or visual function (≥10 letter worsening on 2.5%
contrast Sloan letter chart). BL, baseline; 9HPT, 9-hole peg test; PASAT, paced auditory serial addition test; T25FW, timed 25-foot walk; VFT, visual function test.
Raghupathi K, et al. Presented at AAN 2015;P3.211.
Percentage employed
0
None
One
Tw
o
Three
Nu
mb
er
of
tests
failed
10 20 30 40 50 60 70 80
Cognitive impairment can have a major impact on patients‘ lives
Campbell J, et al. Postgrad Med J. 2017;93:143–147.
Rates of employment versus number of tests in the
BICAMS cognitive assessment battery failed, in a cohort of MS patients (n=62)
Even mild cognitive impairment, i.e. failing
one of the battery of tests, results in
significant functional loss, seen here as a
50% decrease in patients’ employment
Cognitive impairment in newly-diagnosed RRMS patients
predicts MS progression over 10 years
NB: Hazard ratios (HR) are based on outcome probability for patients with cognitive impairment relative to those without.
Moccia M et al. Mult Scler. 2016;22:659-667
Results of a retrospective, 10-year study of 155 RRMS patients, comparing presence and absence of cognitive
impairment on the Rao BRB, assessed within 6 months of diagnosis:
First relapse
HR=0.793; p=0.209
Disability
HR=3.183; p<0.001
Progression to SPMS
HR=2.535; p=0.008
1.0
0
0.7
5
0.5
0
0.2
5
0.0
00 2 4 6 8
1
0
1
2
1.0
0
0.7
5
0.5
0
0.2
5
0.0
00 2 4 6 8
1
0
1
2
1.0
0
0.7
5
0.5
0
0.2
5
0.0
00 2 4 6 8
1
0
1
2Time to relapse from MS diagnosis (years) Time to EDSS 4.0 from MS diagnosis (years) Time to secondary progression
from MS diagnosis (years)
No cognitive impairment
Cognitive impairment
No cognitive impairment
Cognitive impairment
No cognitive impairment
Cognitive impairment
Example of serum NfL profile in an MS patient:
NfL tracked with disease activity
• Year 1 to Year 2: high NfL, high disease activity and brain atrophy
• Year 2 to Year 4: low NfL levels, stabilized MRI and brain atrophy
Placebo PEG-IFN
Year 2
EDSS=2 Gd+= 0New T2=48PBVC=-3.11%SDMT-23
Year 4
EDSS=2Gd+ = 0New T2=49PBVC=-4%SDMT=38
Year 3
EDSS=2Gd+ = 0New T2=49PBVC=-2.54%SDMT=39
Year 1
EDSS=0Gd+= 13New T2=28PBVC=-1.34%SDMT=39
a Data from ADVANCE study.
Se
rum
NfL
, p
g/m
L
Year 0 = BL
EDSS=0Gd+= 0SDMT=48
Slide courtesy Rick Rudick, AAN 2018
Prognostic score
Prognostic factors
1. Older age of onset (>40 years)
2. Male sex
3. Multifocal onset
4. Efferent system affected
a. Motor/weakness
b. Cerebellar
c. Bladder
5. Relapses
a. Partial or no recovery from initial
relapses
b. High relapse rate in the first 2-yrs (>
2 relapses)
6. Disability after 5 years (EDSS > 3.0)
http://multiple-sclerosis-research.blogspot.com/2014/02/clinic-speak-what-prognostic-group-do.html
7. Abnormal MRI
a. High lesion load (>9 lesions on MRI)
b. Gd-enhancing lesions
c. Posterior fossa lesions
d. Spinal cord lesions
e. Brain atrophy
8. Abnormal evoked potentials
9. Abnormal spinal fluid
a. Oligoclonal IgG bands
b. Raised neurofilament levels
10. Low vitamin D levels
11. Comorbidities
a. Smoker
b. Diabetes
c. Hypertension
d. Obesity
Prognostic factors
1. Older age of onset (>40 years) ✓
2. Male sex ✓
3. Multifocal onset ✓
4. Efferent system affected
a. Motor/weakness ✓
b. Cerebellar ✓
c. Bladder ✓
5. Relapses
a. Partial or no recovery from initial
relapses ✓
b. High relapse rate in the first 2-yrs (>
2 relapses) ✓
6. Disability after 5 years (EDSS > 3.0) ✓
http://multiple-sclerosis-research.blogspot.com/2014/02/clinic-speak-what-prognostic-group-do.html
7. Abnormal MRI
a. High lesion load (>9 lesions on MRI) ✓
b. Gd-enhancing lesions ✓
c. Posterior fossa lesions ✓
d. Spinal cord lesions ✓
e. Brain atrophy ✓
8. Abnormal evoked potentials ✓
9. Abnormal spinal fluid
a. Oligoclonal IgG bands ✓
b. Raised neurofilament levels ✓
10. Low vitamin D levels ✓
11. Comorbidities
a. Smoker ✓
b. Diabetes ✓
c. Hypertension ✓
d. Obesity ✓
? / 22 factors
Prognostic factors
1. Older age of onset (>40 years) ✓
2. Male sex ✓
3. Multifocal onset ✓
4. Efferent system affected
a. Motor/weakness ✓
b. Cerebellar ✓
c. Bladder ✓
5. Relapses
a. Partial or no recovery from initial
relapses ✓
b. High relapse rate in the first 2-yrs (>
2 relapses) ✓
6. Disability after 5 years (EDSS > 3.0) ✓
http://multiple-sclerosis-research.blogspot.com/2014/02/clinic-speak-what-prognostic-group-do.html
7. Abnormal MRI
a. High lesion load (>9 lesions on MRI) ✓
b. Gd-enhancing lesions ✓
c. Posterior fossa lesions ✓
d. Spinal cord lesions ✓
e. Brain atrophy ✓
8. Abnormal evoked potentials ✓
9. Abnormal spinal fluid
a. Oligoclonal IgG bands ✓
b. Raised neurofilament levels ✓
10. Low vitamin D levels ✓
11. Comorbidities
a. Smoker ✓
b. Diabetes ✓
c. Hypertension ✓
d. Obesity ✓
? / 22 factors
< 30% - Good
30-70% - Intermediate
> 70% - Poor
Aim of treatment
Good
Indeterminate
Poor
time Aim of treatment
Predicting a DMT response
100 MSers
Who will be
the DMT
responders?
20:80
?
✓
NEDA
MEDA
EDA
EDA = evidence of disease activity (clinical); MEDA = minimal evidence of disease activity (MRI); NEDA = no evidence of disease activity (no clinical and MRI activity)
Hypothetical responder rates on
a low efficacy DMT
40:60
?
✓
NEDA
MEDA
EDA
EDA = evidence of disease activity (clinical); MEDA = minimal evidence of disease activity (MRI); NEDA = no evidence of disease activity (no clinical and MRI activity)
Hypothetical responder rates on
a moderate efficacy DMT
80:20
?
✓
NEDA
MEDA
EDA
EDA = evidence of disease activity (clinical); MEDA = minimal evidence of disease activity (MRI); NEDA = no evidence of disease activity (no clinical and MRI activity)
Hypothetical responder rates on
a very high efficacy DMT
20:80
40:60
80:20
At present it is not possible to
predict who will respond to a
particular DMT.
You simply increase your odds
of being a responder with more
efficacious DMTs Moderate efficacy DMT
Low efficacy DMT
Very high efficacy DMT
Treatment ladder vs. flipping the pyramid
Active
Active
Active HDA
IFN beta
Teri
GA
DMF
Alem Ocre
Alem, alemtuzumab; Clad, cladribine tablets; DMF, dimethyl fumarate; Fingo, fingolimod; HDA, high disease activity; GA, glatiramer acetate; *HSCT, hematopoietic
stem cell transplantation; IFN beta, interferon-beta; Mitox, Mitoxantrone; Nz, natalizumab; Ocre, ocrelizumab; RES, rapidly-evolving severe; Teri, teriflunomide
NHS treatment ladder
RES Nz Clad
HSCT*
RES
Fingo Clad
Alem
Nz
Level 1
Level 2
Level 3
Ocre
HDA Clad
HDA
RES
Fingo Clad
Alem
Nz
Ocre
Mitox
Mitox HSCT
Nz/Az/Ocr
Fingo/Clad
IFN-𝛃/GA/Teri/DMFActive
Rapidly-evolving severe
NEDA - 1 & 2Clinical activity
NEDA-3Focal MRI activity
NEDA-4/5Brain atrophy / CSF-NFL levels
Nz/Az/Ocr/Fingo/Clad
Conventional step-care‘Treatment Ladder’
Rapid escalation‘Treatment Escalator’
Early top-down‘Flipping the Pyramid’
NEDA = no evident disease activity; NEDA-2 = clinical only (relapse-free and progression free); NEDA-3 = clinical and focal MRI activity; NEDA-4/5 = clinical and focal MRI activity free and normalising brain atrophy loss & normalisation of CSF neurofilament levels. IFN-𝛃 = interferon-beta; GA = glatiramer acetate; Teri = teriflunomide; DMF = dimethyl fumarate; Fingo = fingolimod; Nz = natalizumab; Az = alemtuzumab; Dac = daclizumab, Clad = oral cladribine, Ocr = ocrelizumab
Fingo/CladHighly-active
MS Disease Activity
Inactive
Therapeutic approaches
Therapeutic targets
Different therapeutic approaches to the use of disease-modifying therapies in the treatment of relapsing forms of MS
Nz/Az/Ocr
Watchful waiting
IFN-𝛃/GA/Teri/DMF
Giovannoni G. Curr Opin Neurol. 2018 Jun;31(3):233-243.
Benefits vs. Risks
Benefits of treatment Risks of treatment
Benefits of treatment Risks of treatment
Risks of untreated or
undertreated MS
Kleinschmidt-DeMasters,et al. N Engl J Med. 2005 Jul 28;353(4):369-74.
Infection (PML) complicating treatment with natalizumab
Benefits of treatment Risks of treatment
Risks of untreated or
undertreated MSDerisking DMTs
Conclusions
Conclusions
● Educate your patients; help them become experts
● MS is a bad disease and given time it will cause disability in the majority of patients
○ It is very important to communicate this patients
● Cognitive impairment is common and occurs early
● Treat early and effectively to preserve brain
● Treat to a target
○ NEDA and beyond
● Rapid escalation and flipping the pyramid
● Important to understand how to de-risk DMTs
Thank you