PT  - JOURNAL ARTICLE
AU  - Halbeisen, Florian S.
AU  - Jose, Anu
AU  - de Jong, Carmen
AU  - Nyilas, Sylvia
AU  - Latzin, Philipp
AU  - Kuehni, Claudia E.
AU  - Goutaki, Myrofora
TI  - Spirometric indices in primary ciliary dyskinesia: systematic review and meta-analysis
AID  - 10.1101/486837
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 486837
4099  - http://biorxiv.org/content/early/2018/12/07/486837.short
4100  - http://biorxiv.org/content/early/2018/12/07/486837.full
AB  - Primary ciliary dyskinesia (PCD) is a genetic, heterogeneous disease caused by dysfunction of cilia. Evidence is sparse and reports of lung function of PCD patients ranges from normal to severe impairment. This systematic review and meta-analysis of studies of lung function of PCD patients examines the spirometric indices of PCD patients and differences by age group and sex.We searched PubMed, Embase, and Scopus for studies that described lung function in ≥10 patients with PCD. We performed meta-analyses and metaregression to explain heterogeneity. We included 24 studies, ranging from 13-158 patients per study. The most commonly reported spirometric indices were forced expiratory volume in 1 sec (FEV1) and forced vital capacity (FVC) presented as mean and standard deviation of percent of predicted values. We found considerable heterogeneity for both parameters (I2 range 94-96%). The heterogeneity remained when we stratified the analysis by age; however, FEV1 in adult patients was lower. Even after taking into account explanatory factors, the largest part of the between-studies variance remained unexplained. Heterogeneity could be explained by genetic differences between study populations, methodological factors related to the variability of study inclusion criteria, or details on the performance and evaluation of lung function measurements that we could not account for. Prospective studies therefore need to use standardised protocols and international reference values. These results underline the possibility of distinct PCD phenotypes as in other chronic respiratory diseases. Detailed characterisation of these phenotypes and related genotypes is needed in order to better understand the natural history of PCD.