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Prospective observational study in patients with obstructive lung disease : NOVELTY design

Authors :
Reddel, Helen K
Gerhardsson de Verdier, Maria
Agustí, Alvar
Anderson, Gary
Beasley, Richard
Bel, Elisabeth H
Janson, Christer
Make, Barry
Martin, Richard J
Pavord, Ian
Price, David
Keen, Christina
Gardev, Asparuh
Rennard, Stephen
Sveréus, Alecka
Bansal, Aruna T
Brannman, Lance
Karlsson, Niklas
Nuevo, Javier
Nyberg, Fredrik
Young, Simon S
Vestbo, Jørgen
Reddel, Helen K
Gerhardsson de Verdier, Maria
Agustí, Alvar
Anderson, Gary
Beasley, Richard
Bel, Elisabeth H
Janson, Christer
Make, Barry
Martin, Richard J
Pavord, Ian
Price, David
Keen, Christina
Gardev, Asparuh
Rennard, Stephen
Sveréus, Alecka
Bansal, Aruna T
Brannman, Lance
Karlsson, Niklas
Nuevo, Javier
Nyberg, Fredrik
Young, Simon S
Vestbo, Jørgen
Publication Year :
2019

Abstract

Asthma and chronic obstructive pulmonary disease (COPD) have overlapping clinical features and share pathobiological mechanisms but are often considered distinct disorders. Prospective, observational studies across asthma, COPD and asthma-COPD overlap are limited. NOVELTY is a global, prospective observational 3-year study enrolling ∼12 000 patients ≥12 years of age from primary and specialist clinical practices in 19 countries (ClinicalTrials.gov identifier: NCT02760329). NOVELTY's primary objectives are to describe patient characteristics, treatment patterns and disease burden over time, and to identify phenotypes and molecular endotypes associated with differential outcomes over time in patients with a diagnosis/suspected diagnosis of asthma and/or COPD. NOVELTY aims to recruit real-world patients, unlike clinical studies with restrictive inclusion/exclusion criteria. Data collected at yearly intervals include clinical assessments, spirometry, biospecimens, patient-reported outcomes (PROs) and healthcare utilisation (HCU). PROs and HCU will also be collected 3-monthly via internet/telephone. Data will be used to identify phenotypes and endotypes associated with different trajectories for symptom burden, clinical progression or remission and HCU. Results may allow patient classification across obstructive lung disease by clinical outcomes and biomarker profile, rather than by conventional diagnostic labels and severity categories. NOVELTY will provide a rich data source on obstructive lung disease, to help improve patient outcomes and aid novel drug development.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1235304560
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1183.23120541.00036-2018