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ASMA GRAVE E ACOS NEL DOCUMENTO GINA 2014 Pierluigi Paggiaro GINA International Executive Committee, Chairman GINA ITaly Cardio-Thoracic and Vascular Department, University of Pisa Università degli Studi di Pisa Azienda Ospedaliera Pisana 1° Convegno Pneumologia 2.0 Firenze Villa Castiglione, 8-10 maggio 2014

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ASMA GRAVE E ACOS

NEL DOCUMENTO GINA 2014

Pierluigi Paggiaro

GINA International Executive Committee, Chairman GINA ITaly

Cardio-Thoracic and Vascular Department, University of Pisa

Università degli

Studi di Pisa

Azienda

Ospedaliera

Pisana

1° Convegno Pneumologia 2.0

Firenze Villa Castiglione, 8-10 maggio 2014

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Bronchial Asthma heterogeneity in clinical presentation

• Large difference in clinical manifestations, related to:

–Severity of the disease

–Heterogeneity of inducers and/or triggers

– Level of adherence to therapeutical plan

• Existance of different phenotypes

–Clinical and functional

–Biological

• Difference in:

–Strategy of asthma treatment

–Strategy in asthma management

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A new definition of asthma: a heterogeneous disease

GINA 2014, draft

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Main objectives in asthma treatment: control vs future risk

ATS Statement, AJRCCM 2009

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Symptom control vs future risk

GINA 2014, draft

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Bronchial Asthma heterogeneity in clinical presentation

• Large difference in clinical manifestations, related to:

–Severity of the disease

–Heterogeneity of inducers and/or triggers

– Level of adherence to therapeutical plan

• Existance of different phenotypes

–Clinical and functional

–Biological

• Difference in:

–Strategy of asthma treatment

–Strategy in asthma management

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Bronchial Asthma examples of special cases

• According to severity

– Mild-moderate vs severe («difficult to treat»)

– Frequent exacerbators vs chronic airway obstruction

• According to comorbidities or concominat situations:

– Obesity

– Pregnancy

• According to risk factors:

– Smoking habit

– Occupational sensitizers

• According to biological mechanisms:

– Non eosinophilic asthma

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Different asthma phenotypes

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Clinical asthma phenotypes Severity

• Assessment of severity

– Intensity and frequency of symptoms

– Level of treatment needed to control asthma

• Severity (first examination) vs control (under treatment)

– Large variability in moving from different levels of severity or control

• Implication for treatment

– Only for «difficult-to-treat» asthma

– «Steroid-resistant» asthma: biologic basis (?)

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Bousquet et al, JACI 2010

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Asthma control in severe asthmatic patients

68.8% of patients had at least one exacerbation in the last year

Novelli et al, ERS 2013

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Prevalence of comorbidities

Novelli et al, ERS 2013

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Chronic rhinosinusitis with nasal polyps

Nasal polyps

(N=21)

No nasal polyps

(N=43)

Pre-BD FEV1, % 71.0±17.5 * 81.1±17.7

Sputum eosinophils, % 22.3 (0.4-95.6) 10.6 (0-84.1)

Sputum eosinophils ≥3% 89.5 * 63.9

ACT score 21 (10-24) 20 (7-25)

Poorly controlled, % 8 (38.1) 23 (53.5)

Exacerbation in the last year, % 66.7 69.8

AQLQ score 4.63 (2.69-6.56) 4.92 (3.03-6.75)

Novelli et al, ERS 2013

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Obesity

Obese

(N=22)

Normal weight

(N=42)

Pre-BD FEV1, % 77.7±23.5 77.9±14.8

Sputum eosinophils, % 8.3 (0-71.2) 17.4 (0-95.6)

Sputum eosinophils ≥3% 63.2 77.8

ACT 16.5 (7-25) * 21 (12-25)

Poorly controlled, % 72.7 * 35.7

Exacerbation in the last year, % 77.3 64.3

AQLQ score 4.47 (3.03-6.16) 5.31 (2.69-6.75)*

Novelli et al, ERS 2013

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GERD

GERD

(N=25)

No GERD

(N=39)

Pre-BD FEV1, % 77.4±16.5 78.1±19.3

Sputum eosinophils, % 14.9 (0-82.8) 15.8 (0-95.6)

Sputum eosinophils ≥3% 59.1 § 81.8

ACT 19 (7-25) 21 (10-25)

Poorly controlled, % 56.0 43.6

Exacerbation in the last year, % 76.0 64.1

AQLQ score 4.42 (2.69-6.16) * 5.28 (3.19-6.75)

No difference in prevalence of obesity beetween the two groups

Novelli et al, ERS 2013

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Predictors of poor control, lower lung function and eosinophilic phenotype

Poor control Lower lung function

(Post-BD

FEV1<80%)

Eosinophilic

phenotype

OR (CI 95%) OR (CI 95%) OR (CI 95%)

Obesity 5.3 (1.5-18.2) * 1.7 (0.6-5.3) 0.6 (0.2-1.9)

Nasal polyps 0.4 (0.1-1.5) 3.6 (1,2-11.3) * 5.5 (1.1-27.8) *

GERD 1.8 (0.6-5.8) 0.6 (0.2-1.8) 0.4 (0.1-1.5)

Novelli et al, ERS 2013

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Clinical asthma phenotypes Exacerbations vs FEV1 decline vs age of

onset

• Exacerbation-prone phenotype («frequent exacerbators»)

– 50% of severe and 30% of moderate asthmatics (SARP study)

– Related to risk factors

– Different susceptibility to viral infections ?

• Progressive decline in FEV1 («decliners»)

– 25% of mild-moderate asthmatics (CAMP study)

– Persistent airflow limitation in 60% of severe asthmatics (TENOR study)

– Risk factors: male, age, smoking, asthma duration, airway inflammation

– Genetic predisposition (ADAM33) (?)

• Age of onset

– Early-onset asthma: more atopic, lower severity (?)

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Different asthma phenotypes

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Asthma phenotypes according to triggers

• Allergens («allergic asthma»)

– Prevalent in children and in mild-moderate asthmatic adults

– Typical Th2-driven inflammation

– Target for Immunotherapy

• Occupational and environmental factors

– Up to 15% of asthma is related to occupation

– Work-related asthma: occupational asthma + work-aggravated asthma

• Exercise

– In children and elite athletes («exercise-induced bronchospasm»)

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Asthma phenotypes Smoke

• High risk for asthma developing

• Prevalence in asthmatics: 20% smokers

• Characteristics of asthma in smokers – Lower eosinophilic inflammation

– Lower response to ICS

– Greater FEV1 decline over time

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Current smokers with asthma have greater rate of exacerbations, despite

ICS or ICS/LABA treatment

Pedersen et al, JACI 2007

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Different asthma phenotypes

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Asthma phenoypes Eosinophilic vs non-eosinophilic asthma

• Eosinophilic phenotype – Allergen-induced asthma, children asthma

– Severe asthma with frequent exacerbations (CS-dependent asthma)

• Non eosinophilic phenotype – Specific “triggers” (pollutants, endotoxins, chemicals,

viruses)

– In all asthma severity levels

– Stable over time ?

– Lower response to ICS

different therapeutic strategies ?

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Different asthma phenotypes

Haldar et al, AJRCCM 2008

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Vagaggini et al., AJRCCM 2001

Acute ozone exposure in laboratory induces in mild-moderate asthmatics a prominent neutrophilic inflammatory response, which

is blunted by inhaled budesonide

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Asthma inflammatory phenotypes do not correlate with clinical

findings

Simpson et al, Respirology 2006

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Bacci et al, Chest 2006

Absence of sputum eosinophilia in corticosteroid”naive” asthmatics

predicts a poor short-term response to ICS

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Bacci et al, Respirology 2012

Steroid-naif symptomatic noneosinophilic asthma may remain stable over 6 months

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Asthma phenotypes Implications for treatment

• With current available drugs – High dose vs low dose ICS (non eosinophilic, smokers)

– Eosinophil-driven strategies

– LTRA (exercise asthma, aspirin-inuced asthma, asthma + rhinitis)

– Heterogeneity of the response also in unselected asthmatics

• With new therapeutic targets – Anti-IgE, anti-IL5, anti-IL13, …..

– Allergic and eosinophilic allergic asthmatics

• With new treatments (thermoplasty) – Severe uncontrolled patients (which phenotype ?)

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Green et al, Lancet 2002

The control of sputum eosinophilia is associated with a reduction in asthma exacerbations,

but only for eosinophilic exacerbations

Jayaram et al, ERJ 2006

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Italian multicentre observational study in patients under treatment with

Omalizumab

• 24 Italian pulmonary and allergology centres

• More than 300 patients under treatment

• Aims:

• Evaluation of the level of asthma control

(symptoms, pulmonary function, exacerbations)

• Factors related to poor asthma control

• Relationship «duration of treatment / level of

control»

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Control of asthma in severe asthmatics treated with omalizumab

Novelli et al, ERS 2013

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Asthma control in severe asthmatics treated with omalizumab

Poorly controlled Well-partially controlled

Number of patients 75 221

Age, yrs 53,4±13,5 51,5±13,9

Gender, M/F % 34,7/65,3 38/62

Smoke, Y/Ex/No % 4,0/25,3/70,7 3,6/28,1/67,4

Rhinitis, n (%) 51(68,9) 142(65,1)

Chronic rhinosinusitis, n (%) 28(38,4) 70(33)

Nasal polyps, n (%) 20(27,8) 51(23,6)

Aspirin intolerance, n (%) 24(33,8) 39(18,6)*

Obesity, n (%) 25(33,3) 43(19,5)*

Gastro-oesophageal reflux, n(%) 35(47,3) 69(32,5)*

Mental disorders, n (%) 8(11,3) 15(7,1)

Months of OT 29,5(4-96) 33(4-120)

Pre-BD FEV1, % del predetto 64,1±19,8 78,3±19,7* * p<0.05

Novelli et al, ERS 2013

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Exacerbations in severe asthmatics treated with omalizumab

No exacerbations Exacerbations ≥1

Number of patients 167 125

Age, yrs 51,6±13,2 52,5±14,4

Gender, M/F 39,5/60,5 34,4/65,6

Smoke, Y/Ex/No 3,6/28,1/67,1 3,2/25,6/71,2

Rhinitis, % 108(65,9) 80(64,5)

Chronic rhinosinusitis, % 43 (27) 52 (43,3)*

Nasal polyps, % 30 (18,5) 43 (35,2) 3 *

Aspirin intolerance, % 25(15) 35(29,4) 5*

Obesity, % 28(16,9) 38 (30,4)*

Gastro-oesophageal reflux, % 47 (29,4) 55(45,1)*

Mental disorders, % 10(6,3) 11 (9,2)

Months of omalizumab 32 (5-79) 36 (4-120)

Pre-BD FEV1, % del predetto 77,8±18,6 70,6±22,4*

ACT score 22 (10-25) 20 (6-25)*

* p<0.05 Novelli et al, ERS 2013

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Asthma control in patients without comorbidities

Novelli et al, ERS 2013

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Duration of omalizumab treatment may be associated with a better asthma control

*

* p=0.003

Novelli et al, ERS 2013

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Castro et al, AJRCCM 2010

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Asthma-COPD overlap syndrome

GINA 2014, draft

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Prevalence of self-reported physician-diagnosed asthma and COPD

De Marco et al, PlosOne 2013

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GINA 2014, draft

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GINA 2014, draft

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Check different features of asthma and COPD

GINA 2014, draft

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GINA 2014, draft

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Asthma: a heterogeneous disease

• Identification of different phenotypes – According to etiology

– According to pathogenesis

– According to severity

• Implication for treatment – With current drugs

– With biolgoic drugs

– With allergen-immunotherapy

– With thermoplaty

• «tailoring» asthma approach