PICADAR: A diagnostic predictive tool for primary ciliary dyskinesia

dc.contributor.authorBehan, Laura
dc.contributor.authorDimitrov, Borislav D.
dc.contributor.authorKuehni, Claudia E.
dc.contributor.authorHogg, Claire
dc.contributor.authorCarroll, Mary
dc.contributor.authorEvans, Hazel J.
dc.contributor.authorGoutaki, Myrofora
dc.contributor.authorHarris, Amanda
dc.contributor.authorPackham, Samantha
dc.contributor.authorWalker, Woolf T.
dc.contributor.authorLucas, Jane S.
dc.contributor.funderHeart of England NHS Foundation Trusten
dc.contributor.funderSeventh Framework Programmeen
dc.contributor.funderEuropean Commissionen
dc.contributor.funderNational Institute for Health Researchen
dc.contributor.funderWellcome Trusten
dc.date.accessioned2019-11-27T10:02:28Z
dc.date.available2019-11-27T10:02:28Z
dc.date.issued2016-04-01
dc.description.abstractSymptoms of primary ciliary dyskinesia (PCD) are nonspecific and guidance on whom to refer for testing is limited. Diagnostic tests for PCD are highly specialised, requiring expensive equipment and experienced PCD scientists. This study aims to develop a practical clinical diagnostic tool to identify patients requiring testing. Patients consecutively referred for testing were studied. Information readily obtained from patient history was correlated with diagnostic outcome. Using logistic regression, the predictive performance of the best model was tested by receiver operating characteristic curve analyses. The model was simplified into a practical tool (PICADAR) and externally validated in a second diagnostic centre. Of 641 referrals with a definitive diagnostic outcome, 75 (12%) were positive. PICADAR applies to patients with persistent wet cough and has seven predictive parameters: full-term gestation, neonatal chest symptoms, neonatal intensive care admittance, chronic rhinitis, ear symptoms, situs inversus and congenital cardiac defect. Sensitivity and specificity of the tool were 0.90 and 0.75 for a cut-off score of 5 points. Area under the curve for the internally and externally validated tool was 0.91 and 0.87, respectively. PICADAR represents a simple diagnostic clinical prediction rule with good accuracy and validity, ready for testing in respiratory centres referring to PCD centres.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBehan, L., Dimitrov, B. D., Kuehni, C. E., Hogg, C., Carroll, M., Evans, H. J., Goutaki, M., Harris, A., Packham, S., Walker, W. T. and Lucas, J. S. (2016) 'PICADAR: a diagnostic predictive tool for primary ciliary dyskinesia', European Respiratory Journal, 47(4), pp. 1103-1112. doi: 10.1183/13993003.01551-2015en
dc.identifier.doi10.1183/13993003.01551-2015en
dc.identifier.eissn1399-3003
dc.identifier.endpage1112en
dc.identifier.issn0903-1936
dc.identifier.issued4en
dc.identifier.journaltitleEuropean Respiratory Journalen
dc.identifier.startpage1103en
dc.identifier.urihttps://hdl.handle.net/10468/9261
dc.identifier.volume47en
dc.language.isoenen
dc.publisherEuropean Respiratory Societyen
dc.relation.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::HEALTH/305404/EU/Better Experimental Screening and Treatment for Primary Ciliary Dyskinesia/BESTCILIAen
dc.rights© 2016, ERS. ERJ Open articles are open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectPICADARen
dc.subjectPrimary ciliary dyskinesia (PCD)en
dc.subjectDiagnostic predictive toolen
dc.titlePICADAR: A diagnostic predictive tool for primary ciliary dyskinesiaen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
1103.full.pdf
Size:
408.26 KB
Format:
Adobe Portable Document Format
Description:
Published version
Loading...
Thumbnail Image
Name:
ERJ-01551-2015_Supplement.pdf
Size:
440.37 KB
Format:
Adobe Portable Document Format
Description:
Supplementary file 1
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description: