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SEVERE ASTHMA /
BIOMARKERS JOINT
WORKING GROUP
MEETING
DATE: Saturday September 3RD
TIME: 14.45 –16.00
VENUE: Royal College of General Practitioners;
30 Euston Square, London, UK
Co-chairs: Leif Bjermer & Rohit Katail
Agenda
14.45-14.50 Welcome / Introduction Leif Bjermer, Rohit Katail
(Biomakers & Severe Asthma WG Leads)
14.50–14.55 On-going Biomarkers Project
– GINA / NICE FeNO Editorial Kjell Alving
14.55–15.05 Severe Asthma Working Group Walter Canonica, Nikos
– Motivation; Addressing a Need Papadopoulos, Rohit Katail
15.05–15.50 A Global Severe Asthma Registry
a joint Biomarkers / Severe Asthma project
15.05–15.10 • REG’s potential role David Price
15.10–15.25 • What currently exists…?
– Example 1: Italy (SANI) Walter Canonica
– Example 2: UK Andrew Menzies-Gow
15.25–13.35 • A Global ‘Blue Print’ Victoria Carter
15.35–15.50 • Group Discussion All
15.50–16.00 Any Other Business / Open Discussion / Project Brainstorm
WELCOME INTRODUCTION
FIRST BIOMARKERS / SEVERE ASTHMA
WORKING JOINT WORKING GROUP MEETING
LEIF BJERMER & ROHIT KATAIL
14.45–14.50PM
BIOMARKERS WORKING GROUP PROJECTS
GINA/NICE FENO COMMENTARY
KJELL ALVING
14.50–14.55PM
Differences between NICE & GINA statements
on FeNO (focus on inflammometry)
•  Draft developed & circulated August 2015
o  Adaptation of a letter to the Editor of ECRJ (in 2014)
•  Reviewed at Biomarkers’ Working Group Meeting at the ERS (Sept
2016)
•  Originally targeted at npj Primary Care Medicine
o  ERS Meeting – decision to “aim higher”
o  New target = Lancet Respiratory Medicine
•  Formatted as a Commentary and submitted to LRM February 2016;
o  Rejected: "Many thanks for submitting your manuscript to The Lancet Respiratory
Medicine. Several editors here have discussed the manuscript, but their decision was
that it would be better placed elsewhere.”
Differences between NICE & GINA statements
on FeNO (focus on inflammometry)
•  Formatted as Correspondence to the ERJ; submitted March 2016
•  Rejected: This letter has been assessed by external reviewers and the editorial
board. Although it raises some interesting points, it was considered to add little
to the debate while some other important aspects of this topic were missing.
•  Reviewer 1:
–  This is a very well written Letter on a timely topic in asthma
–  Reads as though FeNo and blood eosinophilic counts are the only biomarkers which should be included in
the guidelines for asthma management. Suggest
§  Change the title in the current form, being more specific, or
§  Add a table with the most promising (serum) biomarkers for asthma management, to give an idea of
the complex panorama in this field.
•  Reviewer 2:
–  The authors initially complain that guidelines are driven by RCTs and should be driven by more real world
studies. This argument does not really advance their hypothesis as we lack real world studies for the use of
this technique
–  There is an additional consideration of cost and availability in terms of real world implementation
–  Spirometry is a poor method for assessing asthma but at least it brings well developed standards and
reproducibility
–  Agree with the need for more refined biomarkers for management of all airways disease but the practical
aspect is the challenge of showing efficacy in RCTs and then bringing it into clinical practice.
–  Refer to the most recent Cochrane review on this topic
Differences between NICE & GINA statements
on FeNO (focus on inflammometry)
•  Next…?
o  Incorporate a table of promising biomarkers (as per ERJ
Reviewer 1’s suggestion)
–  “Reads as though FeNo and blood eosinophilic counts are the only
biomarkers which should be included in the guidelines for asthma
management. Suggest adding a table with the most promising (serum)
biomarkers for asthma management, to give an idea of the complex
panorama in this field.”
o  Reformat for Respiratory Medicine
Developing a table of promising biomarkers
•  What biomarkers should be listed in a Table – 6-8 markers?
•  Any other changes / suggestions?
# Biomarker Comment / Key Reference
1 ?
2 ?
3 ?
4 ?
5 ?
6 ?
7 ?
8 ?
REG SEVERE ASTHMA WORKING GROUP:
FULFILLING AN UNMET NEED
ROHIT KATAIL, NIKOS PAPADOPOULOS
& WALTER CANONICA
14.55–15.05PM
UK News Article: Telegraph 1 Sept 2016
Asthma deaths reach highest level for decade
Deaths from asthma have risen 21 per cent in a year to reach
their highest figure in a decade, a charity has warned.
Asthma UK said 1,468 people died from asthma attacks in the
UK last year. The charity called for better implementation of
digital health technology to help sufferers manage their illness.
“The alarming increase in asthma deaths over the last decade is
an urgent wake-up call to the Government to take action to
improve standards of asthma care now,” said Kay Boycott, chief
executive of Asthma UK.
DEVELOPING A GLOBAL
SEVERE ASTHMA REGISTRY
15.05–15.50PM
EFPIA-EBE-VE Position
on Patient Registries
•  Background & Context:
o  European Commission (EC) and European Medicines Agency (EMA)
have supported initiatives to enhance the utility of registries.
o  Recent completion of the PARENT JA, revision of Good
Pharmacovigilance Practices Module VIII on PASS
o  Guidance on the scientific aspects of PAES in draft
o  Launch of EMA’s Patient Registries Initiative
•  Principles:
o  Timely to define a vision and principles regarding the development of
the registry infrastructure and use of registry data to address
research questions.
o  There are other fundamental challenges to the successful conduct of
all methods of real world evidence generation that need to be
addressed.
EFPIA-EBE-VE Position on
Patient Registries: Vision (I)
•  Patient registries should be maintained as a core part of the health
information infrastructure:
o  Supporting healthcare systems to deliver quality care
o  Providing a high quality research platform for the life science sector
•  Long-term registries and networks should be established for priority
diseases independently of specific product approval and
reimbursement processes.
•  When new medicines are launched, these patient registries, linked
through international networks, should be used to address
outstanding research questions of Regulators, HTA bodies, Payers
and Clinicians.
•  Increasing consistency, quality and therefore confidence in the
evidence derived from such registries and networks should lead to
greater use of registries in support of innovative, adaptive pathways
of drug development, assessment, managed entry and lifecycle
monitoring of benefit and risk.
EFPIA-EBE-VE Position on
Patient Registries: Vision (II)
•  The regulatory framework for the creation and maintenance of a
patient registry should be defined separately from that for studies
•  The creation and maintenance of a health service or disease
based patient registry should not be considered a study.
•  Registries that require primary data collection from patients should
be classified as interventional or non-interventional consistently; if
considered to be interventional, they should be designed as fixed
studies rather than on-going registries.
•  Clear rules for ethics approval, data privacy and consent regarding
registries must be established and applied consistently across
Member States.
EFPIA-EBE-VE Position on
Patient Registries: Vision (III)
•  National level patient registries should ideally be funded by
healthcare systems. Industry … should be made via Public Private
Partnerships wherever possible.
•  Distributed health data networks should be used to connect
individual registries; individual registries should be incentivised to
join such networks.
•  Wherever possible, individual registries should apply common
standards and definitions for disease outcome data.
•  There should be a clear process for researchers to access registry
networks.
•  The cost of research access should provide sustainable funding but
not create a barrier to research.
•  Specific stakeholders should define clear quality standards expected
of a registry/ registry network for it to be considered suitable to
address the research objectives of that stakeholder.
REG’s potential role: “steerage”
•  Identification of
•  Current registries around the world (and gaps)
•  Potential national leads for a global collaboration
•  Review:
•  Data fields / variables within existing registries for completeness
•  Develop:
•  Develop a list of registry variables:
•  Core: must be common to all;
•  Supplementary variables: beneficial in addition to core
variables, where feasible
•  Algorithms to identify “Severe Asthma” patients from within
existing clinical records
Existing registries: some examples
•  Severe Asthma Network in Italy (SANI)
o  G. Walter Canonica
•  British Thoracic Society Severe Asthma Registry, UK
o  Andrew Menzies-Gow
–  Observatory/Registry		
with	a	unique	informa7c	Pla;orm	(previously	tested	in	a	Regional	Network)		
Severe	Asthma	Pts	in	the	Reference	Centers	Network		
working	with	the	same	criteria	and	data	collec7on	
&	possible	interac7ons	with	similar	ini7a7ves	(	i.s.RASP-
UK)	
–  Monitoring	Adherence	to	Treatment	
–  Unmet	Needs	
Scopes
Step	1	
Recruitement	
GINA,	SIAAIC	&	SIP/IRS	
Network	of	Severe	Asthma		
Reference	Centers	
Criteria	
derived	from	the		
Interna7onal	Excellence	Center	Network	
(es.															)
REFERENCE CENTERS
ERJ	2014	
Defini7on	ERS	/ATS
MASS	TARGET	
ASTHMA	
THERAPY	
GINA	
GUIDELINES	
TH2	HIGH	
TH2		LOW	
STRATIFIED	
ASTHMA	
PHATOGENESYs	
PERSONALIZED	
ASTHMA	
THERAPY	
Omalizumab	
Mepolizumab	
Reslizumab	
Dupilumab	
Lebrikizumab	
Tralokinumab	
Pitrakinra	
Brodalumab	
α	TSLP	(AMG	157)	
α	CRTH2	
PREDICTIVE	
BIOMARKERS		
of	RESPONSE	
AIT-Allergen	ImmunoTherapy	ICS	
SABA	
LABA	
LAMA	
AnHLTRs	
OCS	
Chromones	
	
	
	
Macrolides	
Biomarkers	
Anrukizumab	
Benralizumab	
Ligelizumab	
Quilizumab	
Bagnasco	et	al.	Exp.Rev.Resp.Med.		2016
–  DATA	Collec7on	for	interac7on	with	
Regulatory	Authori7es	&	Payers	
–  DATA	Collec7on		for	pharmacoeconomic	
evalua7ons	
–  DATA	Collec7on		&	elabora7on	for	scien7fic	
pubblica7ons	
Scopes
A GLOBAL ‘BLUE PRINT’
SUPPORTING THE DELIVERY
VICTORIA CARTER
BTS	Severe	Asthma	Registries
iHARP:	5,000	pa7ents	over	8	countries	
Chief	Inves7gator:	David	Price	
	
UK:	Henry	Chrystyn,	John	Haughney,	Dermot	Ryan,	Kevin	Gruffydd-Jones		
France:	Nicolas	Roche,	David	Costa	
Italy:	Federico	Lavorini,	Alberto	Papi,	Antonio	InfanQno	
Spain:	Miguel	Román	Rodríguez	
Sweden:	Karin	Lisspers,	Björn	Ställberg		
Australia:	Sinthia	Bosnic-AnQcevich	
Norway:	Svein	Henrichsen	
Netherlands:	Thys	van	der	Molen	
5,000 moderate-severe asthma patients over 8 countries
Linking	to	OPCRD	in	the	UK	
Clinical Trial
Registries GP Demographics
Questionnaire
Hospital Data
PrescriptionsGP Diagnostics
Linking Multiple Data Sources : OPCRD
Clinical Trials
Registries
Hasehed ID:
Practice:
Data::
Visit:
12345
Z0001
Inhaler
Technique
05/2005
General Practitioner
Patient Reported
Hospital Referrals
Diagnostics
National Prescribing
Prescriptions
National
Prescribing
OPC Health Record
10/2010
01/2010
05/1991
04/2008
04/2008
07/2006
05/1972
05/2005
12345
Z0001
12345
12345
12345
12345
12345
12345
FeNO Reading
Spiromax Prescriptions
Asthma Diagnosis
Ventolin 100mcg
LRTI Referral
RCP Symptoms High
Practice Registration
Poor Inhaler Technique
Hashed NHS Number: 12345 Practice Code: Z0001
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Visit Date: Identifier Treatment / Prescription: Consent:
Hasehed ID:
Practice:
Data::
Visit:
12345
Z0001
Practice
Details
05/1972
Hasehed ID:
Practice:
Data::
Visit:
12345
Z0001
Inhaler
Technique
10/2010
Z0001
Spiromax
Prescriptions
Started
01/2010
Hasehed ID:
Practice:
Data::
Visit:
12345
Z0001
Asthma
Diagnosis
05/1991
Hasehed ID:
Practice:
Data::
Visit:
12345
Z0001
Ventolin
100mcg
04/2008
Hasehed ID:
Practice:
Data::
Visit:
12345
Z0001
LRTI
Referral
04/2008
Practice:
Data::
Visit:
12345
Z0001
RCP
Questions
07/2006
Hashed ID:
Practice:
Data::
Visit:
Finding	a	unique	iden7fier	to	allow	linkage	to	various	longitudinal	data	sources
Lessons	from	iHARP		
•  Strong core delivery team
•  Committed specialists
•  Ethics set-up: country specific
•  User friendly IT interface
•  Data collection & feedback
•  Do not limit to cross-sectional data
•  Do not re-invent the wheel
REG	Proposal	for	a	Global	Severe	Asthma	Registry	
Key	deliverables:	
1)  Establishment	of	a	global	registry	&	standardised	coding	
•  Containing	key	data	(common	to	all	contribuQng	naQonal	databases)	on	
severe	asthma	paQents		
2)  Registry	set	up	and	data	collec7on		
•  PotenQally	building	on	exisQng	naQonal	registries	(such	as	the	BTS	Difficult	
Asthma	Registry	in	the	UK)	
	
3)  Long-term	management	&	oversight	of	the	global	registry		
•  Data	pre-populaQon	and	linking	to	primary	care	data	systems	to	
automate/facilitate	data	entry
Dendrite	Clinical	Systems:	Web	based		
•  The system must be user friendly prevent duplication of data
Summary	of	Variables	in	the	BTS	Difficult	Asthma	Registry	
Follow	up:		Annual	Review	
Pa7ent	Details	
Gender,	Age,	Ethnicity,	BMI		
etc	
Medical	History	
ExacerbaQons,	Episodes	of	invasive	
venQlaQon,	Atopic	disease	
Inves7ga7ons	
Eosinophils,	IgE,	CT	Scan,	Bone	
densitometry	
Lung	Func7on	
FEV1,	FVC,	KCO,	FENO,	PC20	
methacholine/histamine	
Allergen	Tes7ng	
RAST	posiQve,	SPT	posiQve,	Perennial	
allergen	etc	
Ques7onnaires	
Asthma	Control	QuesQonnaire	(ACQ7)	
Euro-QOL-5D	
Asthma	Medica7on	
Inhaled/oral	steroids,	LAMA,	SABA,	
adherence,	corQsol	&	prednisolone	
Systemic	Assessment	
Adherence,	other	contribuQng	factors,	
biologic	therapy	details
What	currently	exists	globally?
Linking	Primary	&	Secondary	Care:	A	pilot	in	UK		
•  Using	unique	idenQfiers	to	link	primary	care	data	from	OPCRD	
	
•  IdenQficaQon	 of	 severe	 asthma	 paQents	 managed	 in	 primary	
care		
•  Expert	algorithm	from	REG	-	encouraging	appropriate	referrals	
to	severe	asthma	clinics	
•  Pilot	the	linked	data	potenQal	in	Northern	Ireland	or	interested	
UK	locality	(Liverpool)
Our Collaborative Network
Observational & Pragmatic
Research Institute
•  600+	GP	Prac7ces	
•  2.7 million pa,ents
•  500,000 ques,onnaires
•  5,000 clinical reviews
•  GP research network
•  OPCSD: service database

Optimum Patient Care
Social Enterprise
Respiratory Effectiveness Group
Academic Partners
•  50+	Projects	Delivered	
•  Opera,onal research
capabili,es
•  Commercial access to OPCRD
•  Clinical trial delivery support 
•  Bespoke data collec,on
•  Primary care specialists
OPC Global
Research Solutions
•  140+	Publica7ons	
•  Interna,onal impact
•  Observa,onal
research
•  Pragma,c clinical trials 
•  Sta,s,cal exper,se
•  Medical writers
•  Interna7onal	KOL’s	
•  300 members
•  40 countries worldwide
•  14 working groups
•  ADEPT ethics commiRee
•  Academic access to
OPCRD
A	group	of	independent	companies	collabora7ng	together	with	the	shared	
goal	to	improve	pa7ent	management	and	overcome	unmet	medical	needs
Severe Asthma Registries
Background:	 5%	 of	 paQents	 have	 severe	 refractory	 asthma	 that	
responds	 poorly	 or	 not	 at	 all	 to	 high-dose	 inhaled	 or	 systemic	
glucocorQcosteroid	treatment	
	
Aim:	Define	and	characterise	clinical	phenotypes	in	severe	asthma	
to	 facilitate	 research	 into	 the	 assessment	 and	 clinical	
management	
•  Phenotyping	of	paQents	
•  EvaluaQon	and	opQmizaQon	of	treatment	
•  EvaluaQon	of	heterogeneity	in	diagnosis	
•  IdenQficaQon	of	comorbidiQes	
•  Understanding	of	underlying	mechanisms	of	airway	inflammaQon	&	
structural	changes	
•  Development	of	effecQve	and	efficient	diagnosQc	rouQnes	and	
therapeuQc	principles	
•  Development	of	novel	and	effecQve	biologic-based	therapies	
•  GeneQc	profiling	of	paQents	with	asthma
REG Proposal for a Global Severe Asthma Registry
Key	deliverables:	
1)  Establishment	of	a	global	registry	containing	key	data	(common	to	
all	contribuQng	naQonal	databases)	on	severe	asthma	paQents		
•  PotenQally	building	on	exisQng	naQonal	registries	(such	as	the	BTS	Difficult	
Asthma	Registry	in	the	UK)?	
2)  Registry	set	up	and	data	collecQon	support	over	Qme:	
•  Data	pre-populaQon	and	linking	to	primary	care	data	systems	to	
automate/facilitate	data	entry	
3)  Long-term	management	of	the	registry	and	making	data	available	
to	researchers
OPEN	TO	ALL	COUNTRIES:	REG	TO	UNDERSTAND	GLOBAL	
INTEREST		
	
A	LEAD	AND	PILOT	IN	EACH	COUNTRY	OF	AZ	INTEREST:	
	
•  USA:		Rohit	KaQal	&	NJH	–	Severe	Asthma	Working	Group	Lead	
•  GERMANY	:	Roland	Buhl	–	German	Severe	Asthma	Registry		
(n=	463)	
•  UK:	Liam	Heaney,	Andrew	Menzies-Gow	–	UK	Severe	Asthma	
Registry	(n=770)	
•  FRANCE:	Nicolas	Roche?	
•  ITALY:	Walter	Cononica	–	SANI	
•  SPAIN:	Marc	Miravitlles,	Joan	Soriano		
•  AUSTRALIA:	Sinthia	Bosnic-AnQcevich	&	Woolcock	InsQtute		
	
REG Proposal for a Global Severe Asthma Registry
Apps	
•  PROs	
•  PEF	etc.	
Medical	
History	
Severe	Asthma	
Registry	
Baseline	
Assessment	
Prospec7ve	Data	
Collec7on	
Smart	Inhalers	
•  Adherence	
Asthma	Reviews	at	Clinic	
•  Clinical	assessment	
•  Biomarkers	etc.	
Primary	Care	Records	
•  MedicaQon	
•  ExacerbaQons	
•  ComorbidiQes	
•  Healthcare	resource	
uQlisaQon	etc.	
Secondary	Care	Records	
•  HospitalisaQons	
•  Healthcare	resource	
uQlisaQon	
•  QuesQonnaires	
•  Lung	funcQon	
•  Biomarkers	
•  Allergen	tesQng	
•  Op#onal	blood	
sample	for	
future	gene#c	
tes#ng?	
Primary	Care	
Records	
•  MedicaQon	
•  ExacerbaQon	
history	
•  ComorbidiQes	
Secondary	Care	
Records	
•  HospitalisaQons	
•  Healthcare	
resource	
uQlisaQon	
REG Proposal for a Global Severe Asthma Registry
BENEFITS	TO…	
	
Pa7ents	
•  PotenQal	to	improve	paQent	outcomes	in	short-term	(through	biomarker	
profiling	and	smart	technologies)	
•  Increase	understanding	of	severe	asthma	to	improve	paQent	care	in	long-term	
	
Clinicians	
•  PaQent	care:		
•  Improve	characterisaQon	(and	over	Qme,	understanding	of)	severe	asthma	
to	help	guide	clinical	decision	making	
•  Introduce	smart	technologies	to	facilitate	paQent	management	in	clinic	
•  Asthma	registry	pre-populated	from	exisQng	clinical	systems	via	anonymised	
paQent	idenQfiers		
(in	countries	where	feasible)	
	
Researchers	
•  Access	to	a	global	registry	of	well-characterised	severe	asthma	paQents	
•  Comprehensive	retrospecQve	medical	history	data	combined	with	conQnued	
prospecQve	follow-up	(in	countries	where	feasible)	
REG Proposal for a Global Severe Asthma Registry
A Working Example in the UK
BTS	Difficult	Asthma	Registry:	Web	Based	Registry:	Dendrite	
Clinical	Systems	
•  770	severe	asthma	paQents	
•  Maintaining	paQent	anonymity	and	confidenQality	(safe	and	
secure)	
•  Time	saving	compared	to	paper-based	systems	
•  PaQents	consent	to	collecQon	of	data	
•  Data	Controller	is	local	hospital	and	Dendrite	Clinical	Services	
UK	Ltd.	
•  UK	Severe	Asthma	Steering	Group	
•  REG	to	review	UK	severe	asthma	registry	fields	for	global	use	
•  Limited	by	cross-secQonal	nature	–	possibility	to	link	in	with	
longitudinal	primary	care	data:	OPCRD
Linking Primary & Secondary Care: A pilot in UK
•  Using	pseudoanonymised	unique	idenQfiers	(hashed	NHS)	to	
link	longitudinal	primary	care	data	from	OPCRD	with	cross-
secQonal	UK	severe	asthma	registry.	
•  IdenQficaQon	 of	 severe	 asthma	 paQents	 in	 primary	 care	
records,	 using	 expert	 algorithm	 from	 REG	 -	 encouraging	
appropriate	referral	to	severe	asthma	clinics	
•  Pilot	 the	 iniQaQve	 in	 Northern	 Ireland	 or	 interested	 UK	
locality	(Liverpool)
Summary of Variables in the BTS Difficult Asthma Registry
	
	
	
BASELINE	
Pa7ent	Details	
•  Gender,	Age,	Ethnicity,	BMI,	etc.	
Medical	History	
•  ExacerbaQons,	Episodes	of	invasive	venQlaQon,	Atopic	disease,	etc.	
Inves7ga7ons	
•  EOS,	IgE,	CT	scan,	bone	densitometry,	etc.	
Lung	Func7on	
•  FEV1,	FVC,	KCO,	FeNO,	PC20	methacholine/histamine,	etc.	
Allergen	Tes7ng	
•  RAST	posiQve,	SPT	posiQve,	PosiQve	to	perennial	allergen,	etc.	
Ques7onnaires	
•  Asthma	Control	QuesQonnaire	(ACQ7),	Euro-QoL-5D	
Asthma	Medica7on	
•  Inhaled/oral	steroids,	LAMA,	SABA,	Evidence	of	poor	adherence,	CorQsol	and	prednisolone	levels,	FeNO	
suppression	test,	etc.	
Systema7c	Assessment	
•  Adherence,	Other	factors	contribuQng	to	symptoms,	Biologic	therapy	details,	etc.	
FOLLOW-UP	
Annual	Review	
Bronchial	Thermoplasty
REG Working Group Inputs
	
	
	
•  Iden7fica7on	of		
•  Current	registries	around	the	world	(and	gaps)	
•  PotenQal	naQonal	leads	for	a	global	collaboraQon	
•  Review:	
•  Data	fields	/	variables	within	exisQng	registries	for	
completeness	
	
•  Develop:	
•  Develop	a	list	of	variables	for	the	registries	
•  Core:	must	be	common	to	all;		
•  Supplementary	variables:	beneficial	in	addiQon	to	core	
variables,	where	feasible	
•  An	algorithm	to	idenQfy	“Severe	Asthma”	paQents	from	
within	exisQng	UK	primary	care	clinical	records
Timelines
•  Q4	2016	
•  Define	core	and	opQmal	variables	
•  Q1-Q2	2017	
•  Set	up	registry	within	the	selected	sotware	system	
•  IniQate	development	of	infrastructure	to	link	with	other	
data	sources,	where	feasible	(paQent	records,	apps	etc.)	
•  Q3	2017		
•  Release	of	registry	
•  First	paQents	in	pilot	countries/areas	
•  From	Q1	2018	
•  Data	access	to	researchers
GROUP DISCUSSION / FEEDBACK
ANY OTHER BUSINESS
– OTHER IDEAS FOR THE GROUP(S)
15.50–16.00PM

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Severe Asthma and Biomarkers Working Group Meeting

  • 1. SEVERE ASTHMA / BIOMARKERS JOINT WORKING GROUP MEETING DATE: Saturday September 3RD TIME: 14.45 –16.00 VENUE: Royal College of General Practitioners; 30 Euston Square, London, UK Co-chairs: Leif Bjermer & Rohit Katail
  • 2. Agenda 14.45-14.50 Welcome / Introduction Leif Bjermer, Rohit Katail (Biomakers & Severe Asthma WG Leads) 14.50–14.55 On-going Biomarkers Project – GINA / NICE FeNO Editorial Kjell Alving 14.55–15.05 Severe Asthma Working Group Walter Canonica, Nikos – Motivation; Addressing a Need Papadopoulos, Rohit Katail 15.05–15.50 A Global Severe Asthma Registry a joint Biomarkers / Severe Asthma project 15.05–15.10 • REG’s potential role David Price 15.10–15.25 • What currently exists…? – Example 1: Italy (SANI) Walter Canonica – Example 2: UK Andrew Menzies-Gow 15.25–13.35 • A Global ‘Blue Print’ Victoria Carter 15.35–15.50 • Group Discussion All 15.50–16.00 Any Other Business / Open Discussion / Project Brainstorm
  • 3. WELCOME INTRODUCTION FIRST BIOMARKERS / SEVERE ASTHMA WORKING JOINT WORKING GROUP MEETING LEIF BJERMER & ROHIT KATAIL 14.45–14.50PM
  • 4. BIOMARKERS WORKING GROUP PROJECTS GINA/NICE FENO COMMENTARY KJELL ALVING 14.50–14.55PM
  • 5. Differences between NICE & GINA statements on FeNO (focus on inflammometry) •  Draft developed & circulated August 2015 o  Adaptation of a letter to the Editor of ECRJ (in 2014) •  Reviewed at Biomarkers’ Working Group Meeting at the ERS (Sept 2016) •  Originally targeted at npj Primary Care Medicine o  ERS Meeting – decision to “aim higher” o  New target = Lancet Respiratory Medicine •  Formatted as a Commentary and submitted to LRM February 2016; o  Rejected: "Many thanks for submitting your manuscript to The Lancet Respiratory Medicine. Several editors here have discussed the manuscript, but their decision was that it would be better placed elsewhere.”
  • 6. Differences between NICE & GINA statements on FeNO (focus on inflammometry) •  Formatted as Correspondence to the ERJ; submitted March 2016 •  Rejected: This letter has been assessed by external reviewers and the editorial board. Although it raises some interesting points, it was considered to add little to the debate while some other important aspects of this topic were missing. •  Reviewer 1: –  This is a very well written Letter on a timely topic in asthma –  Reads as though FeNo and blood eosinophilic counts are the only biomarkers which should be included in the guidelines for asthma management. Suggest §  Change the title in the current form, being more specific, or §  Add a table with the most promising (serum) biomarkers for asthma management, to give an idea of the complex panorama in this field. •  Reviewer 2: –  The authors initially complain that guidelines are driven by RCTs and should be driven by more real world studies. This argument does not really advance their hypothesis as we lack real world studies for the use of this technique –  There is an additional consideration of cost and availability in terms of real world implementation –  Spirometry is a poor method for assessing asthma but at least it brings well developed standards and reproducibility –  Agree with the need for more refined biomarkers for management of all airways disease but the practical aspect is the challenge of showing efficacy in RCTs and then bringing it into clinical practice. –  Refer to the most recent Cochrane review on this topic
  • 7. Differences between NICE & GINA statements on FeNO (focus on inflammometry) •  Next…? o  Incorporate a table of promising biomarkers (as per ERJ Reviewer 1’s suggestion) –  “Reads as though FeNo and blood eosinophilic counts are the only biomarkers which should be included in the guidelines for asthma management. Suggest adding a table with the most promising (serum) biomarkers for asthma management, to give an idea of the complex panorama in this field.” o  Reformat for Respiratory Medicine
  • 8. Developing a table of promising biomarkers •  What biomarkers should be listed in a Table – 6-8 markers? •  Any other changes / suggestions? # Biomarker Comment / Key Reference 1 ? 2 ? 3 ? 4 ? 5 ? 6 ? 7 ? 8 ?
  • 9. REG SEVERE ASTHMA WORKING GROUP: FULFILLING AN UNMET NEED ROHIT KATAIL, NIKOS PAPADOPOULOS & WALTER CANONICA 14.55–15.05PM
  • 10. UK News Article: Telegraph 1 Sept 2016 Asthma deaths reach highest level for decade Deaths from asthma have risen 21 per cent in a year to reach their highest figure in a decade, a charity has warned. Asthma UK said 1,468 people died from asthma attacks in the UK last year. The charity called for better implementation of digital health technology to help sufferers manage their illness. “The alarming increase in asthma deaths over the last decade is an urgent wake-up call to the Government to take action to improve standards of asthma care now,” said Kay Boycott, chief executive of Asthma UK.
  • 11. DEVELOPING A GLOBAL SEVERE ASTHMA REGISTRY 15.05–15.50PM
  • 12. EFPIA-EBE-VE Position on Patient Registries •  Background & Context: o  European Commission (EC) and European Medicines Agency (EMA) have supported initiatives to enhance the utility of registries. o  Recent completion of the PARENT JA, revision of Good Pharmacovigilance Practices Module VIII on PASS o  Guidance on the scientific aspects of PAES in draft o  Launch of EMA’s Patient Registries Initiative •  Principles: o  Timely to define a vision and principles regarding the development of the registry infrastructure and use of registry data to address research questions. o  There are other fundamental challenges to the successful conduct of all methods of real world evidence generation that need to be addressed.
  • 13. EFPIA-EBE-VE Position on Patient Registries: Vision (I) •  Patient registries should be maintained as a core part of the health information infrastructure: o  Supporting healthcare systems to deliver quality care o  Providing a high quality research platform for the life science sector •  Long-term registries and networks should be established for priority diseases independently of specific product approval and reimbursement processes. •  When new medicines are launched, these patient registries, linked through international networks, should be used to address outstanding research questions of Regulators, HTA bodies, Payers and Clinicians. •  Increasing consistency, quality and therefore confidence in the evidence derived from such registries and networks should lead to greater use of registries in support of innovative, adaptive pathways of drug development, assessment, managed entry and lifecycle monitoring of benefit and risk.
  • 14. EFPIA-EBE-VE Position on Patient Registries: Vision (II) •  The regulatory framework for the creation and maintenance of a patient registry should be defined separately from that for studies •  The creation and maintenance of a health service or disease based patient registry should not be considered a study. •  Registries that require primary data collection from patients should be classified as interventional or non-interventional consistently; if considered to be interventional, they should be designed as fixed studies rather than on-going registries. •  Clear rules for ethics approval, data privacy and consent regarding registries must be established and applied consistently across Member States.
  • 15. EFPIA-EBE-VE Position on Patient Registries: Vision (III) •  National level patient registries should ideally be funded by healthcare systems. Industry … should be made via Public Private Partnerships wherever possible. •  Distributed health data networks should be used to connect individual registries; individual registries should be incentivised to join such networks. •  Wherever possible, individual registries should apply common standards and definitions for disease outcome data. •  There should be a clear process for researchers to access registry networks. •  The cost of research access should provide sustainable funding but not create a barrier to research. •  Specific stakeholders should define clear quality standards expected of a registry/ registry network for it to be considered suitable to address the research objectives of that stakeholder.
  • 16. REG’s potential role: “steerage” •  Identification of •  Current registries around the world (and gaps) •  Potential national leads for a global collaboration •  Review: •  Data fields / variables within existing registries for completeness •  Develop: •  Develop a list of registry variables: •  Core: must be common to all; •  Supplementary variables: beneficial in addition to core variables, where feasible •  Algorithms to identify “Severe Asthma” patients from within existing clinical records
  • 17. Existing registries: some examples •  Severe Asthma Network in Italy (SANI) o  G. Walter Canonica •  British Thoracic Society Severe Asthma Registry, UK o  Andrew Menzies-Gow
  • 18.
  • 25. A GLOBAL ‘BLUE PRINT’ SUPPORTING THE DELIVERY VICTORIA CARTER
  • 28. Linking to OPCRD in the UK Clinical Trial Registries GP Demographics Questionnaire Hospital Data PrescriptionsGP Diagnostics Linking Multiple Data Sources : OPCRD Clinical Trials Registries Hasehed ID: Practice: Data:: Visit: 12345 Z0001 Inhaler Technique 05/2005 General Practitioner Patient Reported Hospital Referrals Diagnostics National Prescribing Prescriptions National Prescribing OPC Health Record 10/2010 01/2010 05/1991 04/2008 04/2008 07/2006 05/1972 05/2005 12345 Z0001 12345 12345 12345 12345 12345 12345 FeNO Reading Spiromax Prescriptions Asthma Diagnosis Ventolin 100mcg LRTI Referral RCP Symptoms High Practice Registration Poor Inhaler Technique Hashed NHS Number: 12345 Practice Code: Z0001 Yes Yes Yes Yes Yes Yes Yes Yes Visit Date: Identifier Treatment / Prescription: Consent: Hasehed ID: Practice: Data:: Visit: 12345 Z0001 Practice Details 05/1972 Hasehed ID: Practice: Data:: Visit: 12345 Z0001 Inhaler Technique 10/2010 Z0001 Spiromax Prescriptions Started 01/2010 Hasehed ID: Practice: Data:: Visit: 12345 Z0001 Asthma Diagnosis 05/1991 Hasehed ID: Practice: Data:: Visit: 12345 Z0001 Ventolin 100mcg 04/2008 Hasehed ID: Practice: Data:: Visit: 12345 Z0001 LRTI Referral 04/2008 Practice: Data:: Visit: 12345 Z0001 RCP Questions 07/2006 Hashed ID: Practice: Data:: Visit: Finding a unique iden7fier to allow linkage to various longitudinal data sources
  • 29. Lessons from iHARP •  Strong core delivery team •  Committed specialists •  Ethics set-up: country specific •  User friendly IT interface •  Data collection & feedback •  Do not limit to cross-sectional data •  Do not re-invent the wheel
  • 30. REG Proposal for a Global Severe Asthma Registry Key deliverables: 1)  Establishment of a global registry & standardised coding •  Containing key data (common to all contribuQng naQonal databases) on severe asthma paQents 2)  Registry set up and data collec7on •  PotenQally building on exisQng naQonal registries (such as the BTS Difficult Asthma Registry in the UK) 3)  Long-term management & oversight of the global registry •  Data pre-populaQon and linking to primary care data systems to automate/facilitate data entry
  • 31. Dendrite Clinical Systems: Web based •  The system must be user friendly prevent duplication of data
  • 34. Linking Primary & Secondary Care: A pilot in UK •  Using unique idenQfiers to link primary care data from OPCRD •  IdenQficaQon of severe asthma paQents managed in primary care •  Expert algorithm from REG - encouraging appropriate referrals to severe asthma clinics •  Pilot the linked data potenQal in Northern Ireland or interested UK locality (Liverpool)
  • 35. Our Collaborative Network Observational & Pragmatic Research Institute •  600+ GP Prac7ces •  2.7 million pa,ents •  500,000 ques,onnaires •  5,000 clinical reviews •  GP research network •  OPCSD: service database Optimum Patient Care Social Enterprise Respiratory Effectiveness Group Academic Partners •  50+ Projects Delivered •  Opera,onal research capabili,es •  Commercial access to OPCRD •  Clinical trial delivery support •  Bespoke data collec,on •  Primary care specialists OPC Global Research Solutions •  140+ Publica7ons •  Interna,onal impact •  Observa,onal research •  Pragma,c clinical trials •  Sta,s,cal exper,se •  Medical writers •  Interna7onal KOL’s •  300 members •  40 countries worldwide •  14 working groups •  ADEPT ethics commiRee •  Academic access to OPCRD A group of independent companies collabora7ng together with the shared goal to improve pa7ent management and overcome unmet medical needs
  • 36. Severe Asthma Registries Background: 5% of paQents have severe refractory asthma that responds poorly or not at all to high-dose inhaled or systemic glucocorQcosteroid treatment Aim: Define and characterise clinical phenotypes in severe asthma to facilitate research into the assessment and clinical management •  Phenotyping of paQents •  EvaluaQon and opQmizaQon of treatment •  EvaluaQon of heterogeneity in diagnosis •  IdenQficaQon of comorbidiQes •  Understanding of underlying mechanisms of airway inflammaQon & structural changes •  Development of effecQve and efficient diagnosQc rouQnes and therapeuQc principles •  Development of novel and effecQve biologic-based therapies •  GeneQc profiling of paQents with asthma
  • 37. REG Proposal for a Global Severe Asthma Registry Key deliverables: 1)  Establishment of a global registry containing key data (common to all contribuQng naQonal databases) on severe asthma paQents •  PotenQally building on exisQng naQonal registries (such as the BTS Difficult Asthma Registry in the UK)? 2)  Registry set up and data collecQon support over Qme: •  Data pre-populaQon and linking to primary care data systems to automate/facilitate data entry 3)  Long-term management of the registry and making data available to researchers
  • 38. OPEN TO ALL COUNTRIES: REG TO UNDERSTAND GLOBAL INTEREST A LEAD AND PILOT IN EACH COUNTRY OF AZ INTEREST: •  USA: Rohit KaQal & NJH – Severe Asthma Working Group Lead •  GERMANY : Roland Buhl – German Severe Asthma Registry (n= 463) •  UK: Liam Heaney, Andrew Menzies-Gow – UK Severe Asthma Registry (n=770) •  FRANCE: Nicolas Roche? •  ITALY: Walter Cononica – SANI •  SPAIN: Marc Miravitlles, Joan Soriano •  AUSTRALIA: Sinthia Bosnic-AnQcevich & Woolcock InsQtute REG Proposal for a Global Severe Asthma Registry
  • 39. Apps •  PROs •  PEF etc. Medical History Severe Asthma Registry Baseline Assessment Prospec7ve Data Collec7on Smart Inhalers •  Adherence Asthma Reviews at Clinic •  Clinical assessment •  Biomarkers etc. Primary Care Records •  MedicaQon •  ExacerbaQons •  ComorbidiQes •  Healthcare resource uQlisaQon etc. Secondary Care Records •  HospitalisaQons •  Healthcare resource uQlisaQon •  QuesQonnaires •  Lung funcQon •  Biomarkers •  Allergen tesQng •  Op#onal blood sample for future gene#c tes#ng? Primary Care Records •  MedicaQon •  ExacerbaQon history •  ComorbidiQes Secondary Care Records •  HospitalisaQons •  Healthcare resource uQlisaQon REG Proposal for a Global Severe Asthma Registry
  • 40. BENEFITS TO… Pa7ents •  PotenQal to improve paQent outcomes in short-term (through biomarker profiling and smart technologies) •  Increase understanding of severe asthma to improve paQent care in long-term Clinicians •  PaQent care: •  Improve characterisaQon (and over Qme, understanding of) severe asthma to help guide clinical decision making •  Introduce smart technologies to facilitate paQent management in clinic •  Asthma registry pre-populated from exisQng clinical systems via anonymised paQent idenQfiers (in countries where feasible) Researchers •  Access to a global registry of well-characterised severe asthma paQents •  Comprehensive retrospecQve medical history data combined with conQnued prospecQve follow-up (in countries where feasible) REG Proposal for a Global Severe Asthma Registry
  • 41. A Working Example in the UK BTS Difficult Asthma Registry: Web Based Registry: Dendrite Clinical Systems •  770 severe asthma paQents •  Maintaining paQent anonymity and confidenQality (safe and secure) •  Time saving compared to paper-based systems •  PaQents consent to collecQon of data •  Data Controller is local hospital and Dendrite Clinical Services UK Ltd. •  UK Severe Asthma Steering Group •  REG to review UK severe asthma registry fields for global use •  Limited by cross-secQonal nature – possibility to link in with longitudinal primary care data: OPCRD
  • 42. Linking Primary & Secondary Care: A pilot in UK •  Using pseudoanonymised unique idenQfiers (hashed NHS) to link longitudinal primary care data from OPCRD with cross- secQonal UK severe asthma registry. •  IdenQficaQon of severe asthma paQents in primary care records, using expert algorithm from REG - encouraging appropriate referral to severe asthma clinics •  Pilot the iniQaQve in Northern Ireland or interested UK locality (Liverpool)
  • 43. Summary of Variables in the BTS Difficult Asthma Registry BASELINE Pa7ent Details •  Gender, Age, Ethnicity, BMI, etc. Medical History •  ExacerbaQons, Episodes of invasive venQlaQon, Atopic disease, etc. Inves7ga7ons •  EOS, IgE, CT scan, bone densitometry, etc. Lung Func7on •  FEV1, FVC, KCO, FeNO, PC20 methacholine/histamine, etc. Allergen Tes7ng •  RAST posiQve, SPT posiQve, PosiQve to perennial allergen, etc. Ques7onnaires •  Asthma Control QuesQonnaire (ACQ7), Euro-QoL-5D Asthma Medica7on •  Inhaled/oral steroids, LAMA, SABA, Evidence of poor adherence, CorQsol and prednisolone levels, FeNO suppression test, etc. Systema7c Assessment •  Adherence, Other factors contribuQng to symptoms, Biologic therapy details, etc. FOLLOW-UP Annual Review Bronchial Thermoplasty
  • 44. REG Working Group Inputs •  Iden7fica7on of •  Current registries around the world (and gaps) •  PotenQal naQonal leads for a global collaboraQon •  Review: •  Data fields / variables within exisQng registries for completeness •  Develop: •  Develop a list of variables for the registries •  Core: must be common to all; •  Supplementary variables: beneficial in addiQon to core variables, where feasible •  An algorithm to idenQfy “Severe Asthma” paQents from within exisQng UK primary care clinical records
  • 45. Timelines •  Q4 2016 •  Define core and opQmal variables •  Q1-Q2 2017 •  Set up registry within the selected sotware system •  IniQate development of infrastructure to link with other data sources, where feasible (paQent records, apps etc.) •  Q3 2017 •  Release of registry •  First paQents in pilot countries/areas •  From Q1 2018 •  Data access to researchers
  • 46. GROUP DISCUSSION / FEEDBACK
  • 47. ANY OTHER BUSINESS – OTHER IDEAS FOR THE GROUP(S) 15.50–16.00PM