Observational Study of Obstructive Lung Disease (NOVELTY)

The NOVEL Observational longiTudinal studY (NOVELTY) is an observational study of obstructive lung disease and is a multi-country, multi-centre, prospective, longitudinal cohort study which will recruit patients with a diagnosis, or suspected diagnosis, of asthma and/or Chronic Obstructive Pulmonary Disease (COPD). Patients will undergo clinical assessments and receive standard medical care as determined by their treating physician. Patients enrolled in NOVELTY will be followed up yearly by their treating physician for a total duration of three years. In addition, patients will be followed up remotely every 3 months. The NOVELTY study will collect data currently lacking to allow for multinational data collection to fill regional/local gaps and improve comparability across regions.

The NOVELTY study is a multi-country, multicentre, observational, prospective, longitudinal cohort study which will include patients with a physician diagnosis, or suspected diagnosis, of asthma and/or COPD. Patients will undergo clinical assessments and receive standard medical care as determined by the treating physician. All patients enrolled in the NOVELTY study will be followed up yearly by their treating physician for a total duration of three years. In addition, patients are expected to be followed up remotely once every quarter. It is estimated that approximately 7,700 patients with suspected or primary diagnosis of asthma and 7,100 patients with suspected or primary diagnosis of COPD will be enrolled by a diverse set of physicians (e.g. primary care physicians, allergists, pulmonologists) from community and hospital outpatient settings within the countries targeted for NOVELTY. Exposure(s): The NOVELTY study is a longitudinal cohort study which does not involve or study a specific medicinal product; it will constitute a disease registry. Information about exposure to treatments as part of routine care will be collected (frequency, treatment, duration). Sample Size Estimations: The target minimum number of 100 patients per diagnostic label (asthma or COPD), physician-assessed severity level and country has been chosen to support many basic local reimbursement specific requirements with reasonable precision, and to provide large sample size for scientific questions applicable across severities and countries. Therefore, considering the targeted countries, it is estimated that approximately 7,700 patients with asthma and 7,100 patients with COPD will be enrolled. Statistical Analysis: After baseline data collection and each annual data collection, data will be summarized for the population overall and by pre specified subgroups, including by country, demographics, exposures, symptom history, treatment history, concurrent clinical features, treatment setting, socioeconomic setting and access to healthcare, where relevant. Patients' changes regarding their treatment, disease or severity among and other variables that are observed between baseline and follow-up visits, will also be described. To identify potential differences in disease diagnosis and severity classifications between physicians and guidelines, data collected on lung function results, symptom questionnaires, exacerbation occurrences and medication will allow the formal and consistent classification of the patients according to relevant international guidelines and other current and future phenotypic/diagnostic classifications. Multivariable models will be used to assess the following: the occurrence of exacerbations and other conditions, including upper and lower Respiratory Tract Infections (RTIs) and their relationship with clinical outcomes, the relationship between Patient Reported Outcomes (PRO) and disease control with impact on daily activity and quality of life, and the relationship between healthcare resource use overall and related to respiratory diseases with disease severity, clinical outcomes, disease type, etc. Multivariable analysis techniques will be used to identify phenotypes and endotypes, based on biomarkers and/or clinical parameters that are associated with differential outcomes for symptom burden, clinical evolution and healthcare utilisation.