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  3. Diagnosis of primary ciliary dyskinesia: discrepancy according to different algorithms.
 

Diagnosis of primary ciliary dyskinesia: discrepancy according to different algorithms.

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BORIS DOI
10.48350/160760
Date of Publication
October 2021
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Institut für Sozial- ...

Institut für Anatomie...

Department for BioMed...

Author
Nussbaumer, Mirjam
Universitätsklinik für Kinderheilkunde
Kieninger, Elisabethorcid-logo
Universitätsklinik für Kinderheilkunde
Department for BioMedical Research, Forschungsgruppe Pneumologie (Pädiatrie)
Tschanz, Stefan A.orcid-logo
Institut für Anatomie
Savas, Sibel T
Casaulta, Carmenorcid-logo
Universitätsklinik für Kinderheilkunde
Department for BioMedical Research, Forschungsgruppe Pneumologie (Pädiatrie)
Goutaki, Myrofora
Institut für Sozial- und Präventivmedizin (ISPM)
Universitätsklinik für Kinderheilkunde
Blanchon, Sylvain
Jung, Andreas
Regamey, Nicolas
Kühni, Claudia
Institut für Sozial- und Präventivmedizin (ISPM)
Universitätsklinik für Kinderheilkunde
Latzin, Philipporcid-logo
Universitätsklinik für Kinderheilkunde
Department for BioMedical Research, Forschungsgruppe Pneumologie (Pädiatrie)
Müller, Loretta Lina
Department for BioMedical Research, Forschungsgruppe Pneumologie (Pädiatrie)
Universitätsklinik für Kinderheilkunde
Subject(s)

600 - Technology::610...

300 - Social sciences...

Series
ERJ Open Research
ISSN or ISBN (if monograph)
2312-0541
Publisher
European Respiratory Society
Language
English
Publisher DOI
10.1183/23120541.00353-2021
PubMed ID
34729370
Description
Background

Diagnosis of primary ciliary dyskinesia (PCD) is challenging since there is no gold standard test. The European Respiratory (ERS) and American Thoracic (ATS) Societies developed evidence-based diagnostic guidelines with considerable differences.

Objective

We aimed to compare the algorithms published by the ERS and the ATS with each other and with our own PCD-UNIBE algorithm in a clinical setting. Our algorithm is similar to the ERS algorithm with additional immunofluorescence staining. Agreement (Cohen's κ) and concordance between the three algorithms were assessed in patients with suspicion of PCD referred to our diagnostic centre.

Results

In 46 out of 54 patients (85%) the final diagnosis was concordant between all three algorithms (30 PCD negative, 16 PCD positive). In eight patients (15%) PCD diagnosis differed between the algorithms. Five patients (9%) were diagnosed as PCD only by the ATS, one (2%) only by the ERS and PCD-UNIBE, one (2%) only by the ATS and PCD-UNIBE, and one (2%) only by the PCD-UNIBE algorithm. Agreement was substantial between the ERS and the ATS (κ=0.72, 95% CI 0.53-0.92) and the ATS and the PCD-UNIBE (κ=0.73, 95% CI 0.53-0.92) and almost perfect between the ERS and the PCD-UNIBE algorithms (κ=0.92, 95% CI 0.80-1.00).

Conclusion

The different diagnostic algorithms lead to a contradictory diagnosis in a considerable proportion of patients. Thus, an updated, internationally harmonised and standardised PCD diagnostic algorithm is needed to improve diagnostics for these discordant cases.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/54157
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Nussbauer_ERJOpenRes_2021.pdftextAdobe PDF1.03 MBpublishedOpen
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