A decision analysis approach for the development of an evidence based diagnostic algorithm for Primary Ciliary Dyskinesia

Author(s):  
Panayiotis Kouis ◽  
Stefania I. Papatheodorou ◽  
Nicos Middleton ◽  
Kyriacos Kyriacou ◽  
John S. Evans ◽  
...  
2021 ◽  
pp. 00353-2021
Author(s):  
Mirjam Nussbaumer ◽  
Elisabeth Kieninger ◽  
Stefan A. Tschanz ◽  
Sibel T Savas ◽  
Carmen Casaulta ◽  
...  

BackgroundDiagnosis 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.ObjectiveWe 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 kappa) and concordance between the three algorithms were assessed in patients with suspicion of PCD referred to our diagnostic centre.ResultsIn 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% Confidence Interval (CI) 0.53–0.92) and the ATS and the PCD-UNIBE (κ=0.73, CI 0.53–0.92) and almost perfect between the ERS and the PCD-UNIBE algorithms (κ=0.92, CI 0.80–1.00).ConclusionThe different diagnostic algorithms lead to a contradictory diagnosis in a considerable proportion of patients. Thus, an updated, internationally harmonized and standardised PCD diagnostic algorithm is needed to improve diagnostics for these discordant cases.


Diagnostics ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1700
Author(s):  
Noemie Bricmont ◽  
Mihaela Alexandru ◽  
Bruno Louis ◽  
Jean-François Papon ◽  
Céline Kempeneers

Primary ciliary dyskinesia (PCD) is a rare inherited ciliopathy in which respiratory cilia are stationary or dyskinetic. The clinical presentation of PCD is highly non-specific since it includes infections and disorders of the upper (otitis and rhinosinusitis) and lower (neonatal respiratory distress, bronchitis, pneumonia and bronchiectasis) airways, starting in early life. Clinical examination alone does not allow a PCD diagnosis, which relies on several concordant tests, since none are sensitive or specific enough alone. Despite being the most sensitive and specific test to diagnose PCD, digital high-speed videomicroscopy (DHSV) is not sufficiently standardized, preventing its use with complete confidence as a confirmatory diagnostic test for PCD, or its inclusion in a diagnostic algorithm. Since the 2017 ERS recommendations for PCD diagnosis, three main issues remain to be solved in order to optimize DHSV ciliary beating evaluation: the problem in defining an accurate sensitivity and specificity as there is no gold standard method to diagnose all PCD cases, a lack of standardization in the operating procedure for processing respiratory samples, and in the choice of measured parameters (self-operating or not). The development of new automated analysis approaches is promising and will require full clinical validation.


2020 ◽  
Vol 26 (8) ◽  
Author(s):  
Fatemeh Sakhaee ◽  
Farzam Vaziri ◽  
Golnaz Bahramali ◽  
Seyed Davar Siadat ◽  
Abolfazl Fateh

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