ERS Virtual Congress 2020
View the presentations you missed during Congress!
More than 1,100 webcasts and slide presentations, 3,500 e-posters and 4,000 abstracts from the International Congress 2020 are now available.
|Asthma and COVID-19
Apostolos Bossios (Stockholm, Sweden) & Stylianos Loukides (Athens, Greece)
Short video discussion: Wednesday, 14 April 2021
ERS Webinars - Coronavirus: Key clinical, epidemiological and research update from China and Europe
|ERS/ATS joint webinar: Rehabilitation after COVID 19 disease
T. Troosters (Leuven, Belgium), A. Holland (Fitzroy North, Australia), M. A Spruit (Maastricht, Netherland), S. Singh (Leicester, United kingdom), L. Nici (Providence, USA), W. Janssens (Leuven, Belgium), M. Vittacca (Gussago, Italy), J. Raskin (New York, USA), S. Belli (Somma Lombardo, Italy), D. Janssen (Horn, Netherlands)
Thursday, 12 November 2020
SpirXpert - free access
This open-access website aims at promoting the understanding of respiratory physiology and pathophysiology, with emphasis on the measurement and interpretation of spirometric test results.
SpirXpert was created and managed for many years by Professor Philip H Quanjer. ERS has now taken over hosting the site and will continue to maintain it as a free and open-access resource for future generations.
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Multi-ethnic all-age spirometry reference equations: Recent developments
The ERS Task Force “Global Lung Function Initiative”, which addresses reference values for spirometry and transfer factor for CO, is now being hosted by the ERS.
Following completion of a highly successful ERS Task Force, it is now 3 years since the Global Lung Function Initiative published their new all-age spirometry equations based on data from 74,187 healthy non-smokers aged 3-95 years (Quanjer et al ERJ 2012). Statistical models generated adjustments for age, sex and height and are applicable to four broad ethnic groups namely Caucasian, African, South East Asian, and North East Asian as well as those of mixed ethnic origins. The new equations aim to correct biases in previous sets that may have been based on antiquated evidence, a limited age range or which failed to adequately account for ethnic differences.