The international primary ciliary dyskinesia cohort (iPCD cohort): methods and first results

Myrofora Goutaki, Elisabeth Maurer, Florian S. Halbeisen, Israel Amirav, Angelo Barbato, Laura Behan, Mieke Boon, Carmen Casaulta, Annick Clement, Eric Haarman, Claire Hogg, Bulent Karadag, Cordula Koerner-Rettberg, Margaret W. Leigh, Michael R. Loebinger, Henryk Mazurek, Lucy Morgan, Kim G. Nielsen, Heymut Omran, Nicolaus SchwerkSergio Scigliano, Claudius Werner, Panayiotis Yiallouros, Zorica Zivkovic, Jane S. Lucas, Claudia E. Kuehni*, Swiss PCD Group, Genetic Disorders of Mucociliary Clearance Consortium

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

Data on primary ciliary dyskinesia (PCD) epidemiology is scarce and published studies are characterised by low numbers. In the framework of the European Union project BESTCILIA we aimed to combine all available datasets in a retrospective international PCD cohort (iPCD Cohort). We identified eligible datasets by performing a systematic review of published studies containing clinical information on PCD, and by contacting members of past and current European Respiratory Society Task Forces on PCD. We compared the contents of the datasets, clarified definitions and pooled them in a standardised format. As of April 2016 the iPCD Cohort includes data on 3013 patients from 18 countries. It includes data on diagnostic evaluations, symptoms, lung function, growth and treatments. Longitudinal data are currently available for 542 patients. The extent of clinical details per patient varies between centres. More than 50% of patients have a definite PCD diagnosis based on recent guidelines. Children aged 10-19 years are the largest age group, followed by younger children (≤9 years) and young adults (20-29 years). This is the largest observational PCD dataset available to date. It will allow us to answer pertinent questions on clinical phenotype, disease severity, prognosis and effect of treatments, and to investigate genotype-phenotype correlations.

Original languageEnglish
Article number1601181
Pages (from-to)1-10
Number of pages10
JournalEuropean Respiratory Journal
Volume49
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes

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