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Early and effective treatment
Gavin Giovannoni
Barts and The London
Disclosures
Professor Giovannoni has 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, 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.
Regarding www.ms-res.org survey results in this presentation: please note that no personal identifiers were collected as part of these surveys and that by completing the surveys participants consented for their anonymous data to be analysed and presented by Professor Giovannoni.
Professor Giovannoni would like to acknowledge and thank Biogen-Idec, Genzyme, Merck-Serono and Novartis for making available data slides on natalizumab, alemtuzumab, oral cladribine and fingolimod for this presentation.
Professor Giovannoni’s trip to Australia is being sponsored by Novartis.
.
Thomas Blizard Curling 1811 – 1888
• Assistant-surgeon to The Royal London Hospital in 1883 and full surgeon in 1849
• President of the Royal College of Surgeons
• Seminal work on tetanus, winning the Jacksonian prize for his work
• Famous for his skill in treating diseases of the testes and rectum
1. Early therapy 2. Highly-effective therapy 3. Induction therapy
Objectives
Why early?
Survival in MS: a randomized cohort study 21 years after the start of the pivotal IFN-1b trial
Goodin et al. Neurology 2012;78:1315-1322.
Natalizumab STRATA: stable EDSS scores for up to 5 years
*P<0.0001
Kappos L et al. Presented at ECTRIMS; October 10–13, 2012; Lyon, France P520.
1 Year 2 Years 3 Years 4 Years 5 Years
Cessation/
Treatment Gap* Original Placebo
Original Natalizumab
Original Placebo – Now on Natalizumab
Mean
ED
SS
Sco
re
n = 380 707 381 707 280 552 385 709 274 569 230 479 205 462 194 427 174 393
14
TOP: earlier natalizumab treatment favors annualized relapse rate outcomes
15
P values from a negative binomial regression model adjusted for gender, baseline EDSS score (<3.0 vs ≥3.0l), relapse status in the prior
year (≤1 vs >1), prior DMT use (<3 vs ≥3), disease duration (<8 vs ≥8 years), and treatment duration (≥3 vs <3 years), except for the factor
of interest. Error bars represent 95% CIs.
DMT=disease-modifying therapy; CI=confidence interval.
Wiendl et al. Presented at ENS; June 8–11, 2013; Barcelona, Spain,. P372.
Baseline EDSS Score
<3.0 ≥3.0
Prior DMTs Used
0 1 ≥2
P<0.0001 P<0.0001
Theoretical model: treat early and effectively
Natural course of disease
Later intervention
Later treatment
Treatment at diagnosis
Intervention at diagnosis
Time Disease Onset
Dis
abili
ty
Time is brain
Does the biology of MS change with time?
Coles et al. J Neurol. 2006 Jan;253(1):98-108..
Post-inflammatory neurodegeneration
May be MS is not autoimmune?
Can we learn anything from animal models?
Limp tail
Impaired righting reflex
hindlimb paralysis
Moribund
partial paralysis
Normal
Remission
Day 7 0
1
2
3
4
5
(1)
Clinical Score
Induction and assessment of chronic relapsing experimental allergic
encephalomyelitis
Day 0
Spinal cord homogenate in Freund’s complete adjuvant in ABH
Slide courtesy David Baker
Average disease course
ACUTE RELAPSE 1 RELAPSE 2
RELAPSE 3 CHRONIC
Slide courtesy Sam Jackson & Ian Duncan.
Prevention of relapsing CREAE after three paralytic episodes does not inhibit secondary progression and deterioration of mobility
Pryce et al. J Neuroimmunol 2005.
The current dogma
Image adapted from Compston A, Coles AJ. Lancet 2008;372:1502-17.
MRI Events
Time (Years)
Inflammation
Brain volume
Axonal loss
Dis
eas
e S
eve
rity
SPMS RRMS CIS RIS
The current paradigm
safe & slow
S&S treatment paradigm
A
B
C
D
E
N M
Y X Moderate
Efficacy
Intermediate
Efficacy
High
Efficacy
1st-line
2nd-line
3rd-line
100 MSers
Who are the
responders?
~20% responders
~40% sub-optimal responders
~40% non-responders
vs.
1
2
3
Clinical
MRI
NABs
S&S treatment paradigm
A
B
C
D
E
N M
Y X Moderate
Efficacy
Intermediate
Efficacy
High
Efficacy
1st-line
2nd-line
3rd-line
How bad is MS?
Untreated MS is a devastating disease
Cognitive Dysfunction
• Prevalence: 43% to 65%1,2
• Affects employment, activities of daily living, and social functioning2
Life Shortening
• 5- to 11-year decrease in life expectancy3-7
• 2- to 7-fold increase in suicide risk5,8
• 50% MS patients die of disease-related causes5,6,8
1. Rao SM et al. Neurology. 1991;41:685-691; 2. Rao SM et al. Neurology. 1991;41:692-696; 3. Sadovnick AD et al. Neurology. 1992;42:991-994;
4. Ebers GC. J Neurol Neurosurg Psychiatry. 2001;71:16-19; 5. Torkildsen G et al. Mult Scler. 2008;14:1191-1198; 6. Smestad C et al. Mult Scler.
2009;15:1263-1270; 7. Kingwell E et al. J Neurol Neurosurg Psychiatry. 2012;83:61-66; 8. Sadovnick AD et al. Neurology. 1991;41:1193-1196;
9. Orme M et al. Value Heath. 2007;10:54-60; 10. De Marco R et al. Diabetes Care. 1999;22:756-761; 11. Petty DW et al. Mayo Clin Proc.
2005;80:1001-1008; 12. Hooning MJ et al. Int J Radiat Oncol Biol Phys. 2006;64:1081-1091; 13. Pfleger CC et al. Mult Scler. 2010;16:121-126;
14. Beg J et al. Eur J Health Econ. 2006;7(suppl 2):S75-S85.
*In this study, utility measures were derived from EQ-5D using the EuroQoL instrument; †in patients with type 2 diabetes; ‡in patients with valvular heart disease in Olmsted County,
Minnesota; §MS patients with EDSS ≥6.
EDSS=Expanded Disability Status Scale; QOL=quality of life; CV=cardiovascular;
EQ-5D=European Quality of Life-5 Dimensions.
QOL EDSS and utility* have shown a
significant inverse relationship9
Mortality Mortality ratio of patients with MS
exceeds CV disease,†,10 stroke,‡,11 and
early breast cancer12
Employment 50% of patients with MS are
unemployed as of EDSS 3.0 and/or
after 10 years from diagnosis13
Healthcare costs Bulk of cost attributed to services
(28.5%) and long-term sick leave and
early retirement (30%)§,14
Relationships Compared with general population, patients
with MS have a higher probability of
separating/divorcing and doing so sooner13
MS has a negative
impact on…
Consequences of increasing EDSS scores: loss of employment1
0
10
20
30
40
50
60
70
80
90
Work Capacity by Disability Level
0.0/1.0 2.0 3.0 4.0 5.0 6.0 6.5 7.0 8.0/9.0
EDSS Score
Pro
po
rtio
n o
f P
ati
en
ts ≤
65 Y
ears
Old
Wo
rkin
g (
%)
The proportion of patients employed or on long-term sick leave is calculated as a percentage of patients aged 65 or younger.
1. Kobelt G et al. J Neurol Neurosurg Psychiatry. 2006;77:918-926;
2. Pfleger CC et al. Mult Scler. 2010;16:121-126.
Spain
Sweden
Switzerland
United Kingdom
Netherlands
Italy
Germany
Belgium
Austria
~10 yrs2
Uti
lity
EDSS Status
EDSS and utilitya show a significant inverse relationship
1,b
aUtility measures are derived from EQ-5D using the EuroQoL instrument. bError bars depict 95% confidence intervals. Half points on EDSS are not shown on graph axis, except at EDSS 6.5.
• MS is one of the most common
causes of neurological disability
in young adults2
• Natural history studies indicate
that it takes a median time of 8,
20, and 30 years to reach the
irreversible disability levels of
EDSS 4, 6, and 7, respectively3
1. Adapted from Orme M et al. Value In Health. 2007;10:54-60. 2. WHO and MSIF. http://apps.who.int/bookorders/anglais/detart1.jsp?sesslan=1&codlan=1 &codcol=15&codcch=747. Accessed October 6, 2010. 3. Confavreaux, Compston. 2005. 4. Compston A, Coles A. Lancet 2008
The effect of MS on quality of life
34
What about benign MS?
163 patients with “benign” MS
(disease duration >15 years and EDSS <3.5):
45% cognitive impairment
49% fatigue
54% depression
What is benign MS?
Impact of MS: cognitive functioning in the CIS stage
Feuillet et al. MSJ 2007
CIS Patients n = 40
57%
7%
-20%
0%
20%
40%
60%
Healthy Controls n = 30
p < 0.0001
Deficits were found mainly in memory, speed of information
processing, attention and executive functioning Patients failing
≥ 2 cognitive tests
Relapses don’t count!
Weinshenker et al. Brain. 1989 Dec;112 ( Pt 6):1419-28.
Predictors of long-term outcome in MSers treated with interferon beta-1a
Bermel et al. Ann Neuol 2012.
Bermel et al. Ann Neuol 2012.
Predictors of long-term outcome in
MSers treated with interferon beta-1a
Treatment vs. Natural History
Relapse on IFNβ Therapy Increases Risk of
Sustained Disability Progression
Bosca et al. Mult Scler. 2008;14:636-639.
HR SE P Value 95% CI
No relapses (reference=1) 1
One relapse 3.41 1.47 0.005 1.46–7.98
Two or more relapses 4.37 1.74 0.000 1.90–9.57
HR of EDSS Increase in Patients with No Relapses, 1 Relapse, and 2 or More Relapses During the First 2 Years of IFN Treatment
0 20 40 60 80
0
0.25
0.50
0.75
Analysis Time (Months)
No Relapses One Relapse Two or More Relapses
1.00
EDSS
Pro
gre
ssio
n
Surv
ival
Pro
bab
ility
HR=hazard ratio; SE=standard error
Relapses and residual deficits
Lublin FD et al. Neurology. 2003;61:1528-1532.
MRI activity doesn’t count!
Bermel et al. Ann Neuol 2012.
Predictors of long-term outcome in
MSers treated with interferon beta-1a
MRI to monitor treatment response to IFNβ: a meta-analysis
Dobson et al. Neurology 2013.
Study or Subgroup Odds Ratio
IV, Random, 95% CI
Kinkel 2008
Prosperini 2009
Total (95% CI) 9.86 (2.33, 41.70)
Study or Subgroup Odds Ratio
IV, Random, 95% CI
Kinkel 2008
Pozzilli 2005
Prosperini 2009
Sormani 2011
Total (95% CI) 2.69 (0.72, 10.04)
0.01 0.1 1 10 100 Disease Less Likely Disease More Likely
One New T2 Lesion
Favors Experimental Favors Control
100 10 1 0.1 0.01
Two or More New T2 Lesions
Study or Subgroup Odds Ratio
IV, Random, 95% CI
Kinkel 2008
Rio 2008
Total (95% CI) 5.46 (2.48, 12.04)
MRI to monitor treatment response to IFNβ: a meta-analysis
Study or Subgroup Odds Ratio
IV, Random, 95% CI
Kinkel 2008
Pozzilli 2005
Tomassini 2006
Total (95% CI) 3.34 (1.36, 8.22)
0.01 0.1 1 10 100 Disease Less Likely Disease More Likely
One New Gd+ Lesion
0.01 0.1 1 10 100
Disease Less Likely Disease More Likely
Two or More New Gd+ Lesions
Dobson et al. Neurology 2013.
Disease progression doesn’t count!
Strongest predictor of disability progression on
IFNβ therapy is progression itself
Disease activity during 2 years of treatment and prediction of disability progression* at 6 years
Group Sensitivity (%)
(CI) Specificity (%)
(CI)
A. An increase of at least one EDSS step confirmed at 6 months 85 (64–95) 93 (86–97)
B. Occurrence of any relapse 80 (58–92) 51 (41–61)
C. Occurrence of two or more relapses 45 (26–66) 81 (72–82)
D. A decrease in relapse rate less than 30% compared with 2 years before therapy
40 (22–61) 86 (77–91)
E. A decrease in relapse rate less than 50% compared with 2 years before therapy
40 (–61) 81 (72–88)
F. No decrease or identical relapse rate compared with 2 years before therapy
35 (18–57) 88 (79–93)
G. Definition A or B 90 (70–97) 48 (38–58)
H. Definition A or E 85 (64–95) 76 (66–83)
I. Definition A and B 75 (53–89) 97 (91–99)
J. Definition A and E 40 (22–61) 99 (94–99)
*EDSS score ≥6.0 or increase in at least 3 EDSS steps.
Río J et al. Ann Neurol. 2006;59:344-352.
Relationship between early clinical characteristics and long term disability
outcomes: 16 year cohort study (follow-up) of the pivotal interferon-beta-1b trial
Goodin et al. J Neurol Neurosurg Psychiatry. 2012 Mar;83(3):282-7.
Why highly-effective treatments?
Control Multiple sclerosis
Can we prevent end-organ damage?
Brain atrophy occurs across all stages of the disease
De Stefano, et al. Neurology 2010
n= 963 MSers
Treatment-effect on atrophy correlates with treatment-effect on disability
Sormani et al. Ann Neurol 2013, In Press.
Treatment Effect on Disability Strongly Predicted by Effect on T2 Lesion Volume and Brain Atrophy, Combined
Meta-analysis of treatment effect on EDSS worsening (y) vs effects on MRI lesions and brain atrophy,
individually or combined, in 13 placebo-controlled RRMS trials (13,500 patients)
Sormani MP et al. Ann Neurol. 2014;75:43-49.
-1.0%
-0.8%
-0.6%
-0.4%
-0.2%
0.0% Years 0-2
-0.82%
-0.80%
P=0.822†
Placebo (N=315) Natalizumab (N=627)
Year 0-1* Year 1-2
-0.40%
-0.56%
-0.43%
-0.24%
P=0.004†
P=0.002†
†Difference between treatments; ‡Change from baseline; Miller DH et al. Neurology 2007;68:1390-1401.
AFFIRM Study: natalizumab and brain atrophy
Mea
n (
SE
) p
erc
en
tag
e c
ha
ng
e i
n B
PF
Fingolimod has an early and sustained effect on the rate of brain atrophy compared with placebo and IFNb-1a IM
FREEDOMS, 2 years
Fingolimod 0.5 mg (n = 356)
Placebo (n = 329)
***
* **
6 0 12 24
Time (months)
0
-0.4
-0.8
-1.2
-1.6
-2.0
−38%
vs placebo p<0.001
Ch
ange
in m
ean
BV
fro
m
bas
elin
e (%
)
TRANSFORMS, 1 year
0 12
Time (months)
0.0
-0.4
-0.6
-1.0
IFNb-1a IM (n = 359)
Fingolimod 0.5 mg (n = 368)
−40%
vs IFNb-1a IM p<0.001
*** -0.2
-0.8
Ch
ange
in m
ean
BV
fro
m
bas
elin
e (%
)
ITT population with evaluable MRI images. Note: n numbers for FREEDOMS data reflect the number of patients with available data at 24 months. *p<0.05; **p<0.01; ***p<0.001 vs comparator; p-values are for comparisons over Months 0-6, Months 0-12, Months 0-24 BV, brain volume; ITT, intent-to-treat. Gilenya™ Prescribing Information 19 April 2012. Reproduced with permission. Kappos L et al. N Engl J Med 2010; 362: 387-401, and Cohen JA et al. N Engl J Med 2010; 362: 402-415. Copyright © 2011 Massachusetts Medical Society. All rights reserved
Laquinimod: Percent of brain volume
change from baseline to month 24
% C
ha
ng
e F
rom
Ba
se
line
-1.2
-0.4
-1.6
-0.8
Placebo (n = 1006)
Laquinimod 0.6 mg (n = 984)
0
-1.188
-0.834
POOLED
30% P<0.0001
Vollmer T et al. Presented at 64th American Academy of Neurology Annual meeting, New Orleans 2012 Session S01.007
BRAVO: reduced rate of brain volume loss
*Adjusted for baseline characteristics.
Reference: 1. Vollmer T et al. Presented at: 5th Joint Triennial Congress of the European and Americas Committee for Treatment and Research in Multiple Sclerosis; October 19-22, 2011; Amsterdam, Netherlands. Abstract 148. Mult Scler. 2011;17:S507.
62
27.5% Reduction P<0.0001
-27.4% Improvement P<0.0001
LAQUINIMOD 0.6mg
PLACEBO
-1.14% -0.83% Percent Brain Volume
Change* (Months 0-24)
-1.25%
AVONEX® 30mcg
+9% Deterioration P=0.14
750
800
850
900
950
1000
1050
1100
1150
1200
1250
1300
1350
1400
1450
1500
30 35 40 45 50 55 60 65 70 75 80
Bra
in V
olu
me
(m
L)
Age (years)
Brain atrophy curves
Lower limit of normal
Average
Upper limit of normal
Hypothetical treatment effects
750
800
850
900
950
1000
1050
1100
1150
1200
1250
1300
1350
1400
1450
1500
30 35 40 45 50 55 60 65 70 75 80
Bra
in V
olu
me
(m
L)
Age (years)
Brain atrophy curves
MS lower limit
MS Average
MS Upper limit
-5%
-30%
Hypothetical treatment effects
-5%
-30%
750
800
850
900
950
1000
1050
1100
1150
1200
1250
1300
1350
1400
1450
1500
30 35 40 45 50 55 60 65 70 75 80
Bra
in V
olu
me
(m
L)
Age (years)
Brain atrophy curves
MS Average
Hypothetical treatment effects
-5%
-20%
750
800
850
900
950
1000
1050
1100
1150
1200
1250
1300
1350
1400
1450
1500
30 35 40 45 50 55 60 65 70 75 80
Bra
in V
olu
me
(m
L)
Age (years)
Brain atrophy curves
late treatment
Hypothetical treatment effects
750
800
850
900
950
1000
1050
1100
1150
1200
1250
1300
1350
1400
1450
1500
30 35 40 45 50 55 60 65 70 75 80
Bra
in V
olu
me
(m
L)
Age (years)
Brain atrophy curves
-5%
-18%
early treatment
late treatment
Hypothetical treatment effects
750
800
850
900
950
1000
1050
1100
1150
1200
1250
1300
1350
1400
1450
1500
30 35 40 45 50 55 60 65 70 75 80
Bra
in V
olu
me
(m
L)
Age (years)
Brain atrophy curves
-5% -11%
early very
highly-effective
treatment
late very
highly-effective
treatment
-15%
Hypothetical treatment effects
What is your treatment philosophy?
survival analysis
“hard and early ”
What is your treatment philosophy? maintenance-escalation vs. induction
survival analysis
“hard and early ”
MS is an autoimmune disease hypothesis
15-20 year experiment
What is your treatment philosophy? maintenance-escalation vs. induction
No evidence of disease activity: NEDA
Gd, gadolinium. 1. Havrdova E, et al. Lancet Neurol 2009; 8:254–260; 2. Giovannoni G, et al. Lancet Neurol 2011; 10:329–337.
Treat-2-target
Should brain volume loss and CSF neurofilament levels be
included in our definition for ‘no evidence of disease activity’?
No evidence of disease activity defined as:1,2
× No relapses
× No sustained disability progression
× No MRI activity
× No new or enlarging T2 lesions
× No Gd-enhancing lesions
T2T - NEDA
Zero Tolerance
Treatment objectives in relapsing MS
Freedom from
disease activity
Reduced ongoing
damage
Treat Early
73
T2T - NEDA
Zero Tolerance
Functional
Improvement
Maintain reserve
capacity
Treatment objectives in relapsing MS
Freedom from
disease activity
Reduced ongoing
damage
Treat Early
74
T2T - NEDA
Zero Tolerance
Functional
Improvement
Maintain reserve
capacity
Treatment objectives in relapsing MS
Freedom from
disease activity
Reduced ongoing
damage
CNS Repair
Healthy
ageing
Treat Early
75
T2T - NEDA
Zero Tolerance
Functional
Improvement
Maintain reserve
capacity
Treatment objectives in relapsing MS
Freedom from
disease activity
Reduced ongoing
damage
CNS Repair
Healthy
ageing
Improved Quality of Life
Treat Early
76
Pros and cons of maintenance vs. induction therapies
Maintenance therapies
• Continuous treatment
• Low to very high efficacy
• Reversible
• Perceived to be lower risk
• Examples • Laquinimod, GA, IFN-beta, teriflunomide, BG12,
fingolimod, natalizumab, daclizumab
• Breakthrough disease • Suboptimal or failure to respond
• NEDA reliable metric for efficacy
• Rebound activity • Highly likely
• Can be life threatening
• Pregnancy • Contra-indicated
• No potential for a cure • Rebound
• SPMS & progressive brain atrophy
Induction therapies
• Short-courses or pulsed therapy
• Very high efficacy
• Irreversible
• Perceived to be higher risk
• Examples • Mitoxantrone, cladribine, alemtuzumab, anti-
CD20 (?), BMT
• Breakthrough disease • Marker for retreatment
• NEDA unreliable to assess efficacy
• Rebound activity • Less likely
• Unlikely to be life-threatening
• Pregnancy • Strategy of choice
• Potentially curative • 15-20 year experiment
• BMT, alemtuzumab, cladribine
Conclusions • MS is a bad disease
• Mortality, disability, unemployment, divorce, cognitive impairment, etc.
• Early highly-effective induction therapy is the only realistic option of offering a cure (autoimmune paradigm)
• Now an established treatment option
• NEDA (DAF) and T2T are entering the neurology lexicon
• Zero tolerance or ZeTo
• We need an acceptable working definition of an MS cure
• NEDA x 15 years?
• Induction therapies (alemtuzumab, cladribine)
• Improved risk mitigation tools
• JCV testing
• Autoimmune prediction for alemtuzumab
• Is it fair to make people with MS wait 20 years for the outcome of an ongoing experiment?
• Alemtuzumab, BMT, natalizumab, cladribine extension studies
early + highly effective + induction
Cladribine an example of treat early and effectively
Questions?
Emerging concepts in MS
Hagan M, et al. Int J Radiat Oncol Biol Phys 2004; 59:329−340.
NEDD – no evidence of detectable disease (oncology)
NEDA - no evidence of disease activity (msologoy)
DAF – disease activity free
T2T; treat-2-target (rheumatology)
10 9 7 6 5 4 3 2 1 0 8
0.8
0.6
0.4
0.2
0.0
1.0
Adjuvant (n = 50)
Salvage (n = 118)
p = 0.002
Surv
ival
Time since radiotherapy (years)
Biochemical relapse-free survival
ZeTo; zero tolerance
17yr female,
diagnosed
with CIS
after
presenting
with myelitis
18yr, 1st year
university
diagnosed
with MS after
having L optic
neuritis
Abnormal MRI; >9
T2 lesions on brain
MRI and spinal cord
lesion at C5
2000 2001
clumsy
left
hand
pins &
needles
in legs
IFN-beta
2002 2003
R optic
neuritis
2004
Bladder dysfunction
Graduate
trainee
marketing
Full
time
employment
Off work
~3 months
of the year
Dec 2007
Brainstem
syndrome;
diplopia
and ataxia
? glatiramer
acetate
Cervical cord
relapse
weak L arm
with pain
High lesion
load with
brain
atrophy
Gd-enhancing
lesion of upper
cervical cord
Splits from
her partner
depression ,
anxiety and fatigue
Reduced mobility
Occupational
health
assessment
natalizumab
New
partner
New job
junior management
position
Residual deficits:
Normal walking 300m, unable to run &
exercise. Intermittent sensory symptoms
in L arm. Mild urinary frequency
Jan 2008
JCV
positive
3-monthly MRI
monitoring
? fingolimod
Oct 2013
Annual MRI
monitoring
JCV
high positive
Final
year of
school
University
Early or late?
82
Mo
nito
ring
T
rea
tme
nt
Clin
ica
l O
ccu
p &
so
cia
l
What does the future hold?
83
17yr female, diagnosed with CIS
after presenting
with myelitis
18yr, 1st year university diagnosed
with MS after having
L optic neuritis
Abnormal MRI; >9 T2 lesions on brain MRI and spinal cord
lesion at C5
2000 2001
clumsy left hand
pins & needles in
legs
IFN-beta
2001 2003
R optic neuritis
2004
Bladder dysfunction
Graduate trainee
marketing
Full time employment
Off work ~3 months of the
year
Dec 2007
Brainstem syndrome;
diplopia and
ataxia
? glatiramer acetate
Cervical cord relapse weak L arm with pain
High lesion load with brain
atrophy Gd-enhancing lesion
of upper cervical
cord
Splits from her partner
depression , anxiety and fatigue
Reduced mobility
Occupational health assessment
natalizumab
New partner
New job junior management
position
Residual deficits: Normal walking 300m, unable to run & exercise. Intermittent
sensory symptoms in L arm. Mild urinary frequency
Jan 2008
JCV positive
3-monthly MRI monitoring
? fingolimod
Oct 2013
Annual MRI monitoring
mo
nit
ori
ng
trea
tmen
t cl
inic
al
Occ
up
. & s
oci
al
JCV high positive
Final year of
school
University
Pregnancy Old
Age
17yr female,
diagnosed
with CIS
after
presenting
with myelitis
18yr, 1st year
university
diagnosed
with MS after
having L optic
neuritis
Abnormal MRI; >9
T2 lesions on brain
MRI and spinal cord
lesion at C5
2000 2001
clumsy
left
hand
pins &
needles
in legs
IFN-beta
2002 2003
R optic
neuritis
2004
Bladder dysfunction
Graduate
trainee
marketing
Full
time
employment
Off work
~3 months
of the year
Dec 2007
Brainstem
syndrome;
diplopia
and ataxia
? glatiramer
acetate
Cervical cord
relapse
weak L arm
with pain
High lesion
load with
brain
atrophy
Gd-enhancing
lesion of upper
cervical cord
Splits from
her partner
depression ,
anxiety and fatigue
Reduced mobility
Occupational
health
assessment
natalizumab
New
partner
New job
junior management
position
Residual deficits:
Normal walking 300m, unable to run &
exercise. Intermittent sensory symptoms
in L arm. Mild urinary frequency
Jan 2008
JCV
positive
3-monthly MRI
monitoring
? fingolimod
Oct 2013
Annual MRI
monitoring
JCV
high positive
Final
year of
school
University
Early or late?
Mo
nito
ring
T
rea
tme
nt
Clin
ica
l O
ccu
p &
so
cia
l
Dec 2007 Jul 2010 Jul 2013
Case studies
Ian Rogers. ACNR 2007: 7(3);14.
The data presented for years 5, 10, 14, and 20 were obtained from different publications based on the same longitudinal study. The exact relationship between MRI findings and the clinical status of the patient is unknown.
Fisniku LK et al. Brain. 2008;131:808-817; Morrissey SP et al. Brain. 1993;116:135-146; O’Riordan JI et al. Brain. 1998;121:495-503;
Brex PA et al. N Engl J Med. 2002;346:158-164.
Baseline number of brain lesions predicts progression to EDSS Score ≥3.0
Queen Square Study
The 2-stage model of disability progression
PHASE 1 PHASE 2
• From MS clinical onset to Disability Status Scale 3
• From Disability Status Scale 3 to 6
• Multiple factors may influence disability progression (including gender, age, deficit after first relapse, number of relapses in first 2 years of disease)
• Factors shown to be predictive of disability progression in phase 1 have no influence at this stage
• Likely influenced by focal inflammation • Likely independent of focal inflammation
Leray E et al. Brain 2010;133:1900-13.
0 5 10 15 25 20 30
Years from Clinical Onset of Multiple Sclerosis
DSS
Sco
re
7
6
5
4
3
2
1
0
Phase 2
Phase 1
Including brain atrophy!