International management platform for children’s interstitial lung disease (chILD-EU)
BackgroundChildren’s interstitial lung diseases (chILD) cover many rare entities, frequently not diagnosed or studied in detail. There is a great need for specialised advice and for internationally agreed subclassification of entities collected in a register.Our objective was to implement an interna...
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Published in | Thorax Vol. 73; no. 3; pp. 231 - 239 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BMJ Publishing Group LTD
01.03.2018
BMJ Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 0040-6376 1468-3296 1468-3296 |
DOI | 10.1136/thoraxjnl-2017-210519 |
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Summary: | BackgroundChildren’s interstitial lung diseases (chILD) cover many rare entities, frequently not diagnosed or studied in detail. There is a great need for specialised advice and for internationally agreed subclassification of entities collected in a register.Our objective was to implement an international management platform with independent multidisciplinary review of cases at presentation for long-term follow-up and to test if this would allow for more accurate diagnosis. Also, quality and reproducibility of a diagnostic subclassification system were assessed using a collection of 25 complex chILD cases.MethodsA web-based chILD management platform with a registry and biobank was successfully designed and implemented.ResultsOver a 3-year period, 575 patients were included for observation spanning a wide spectrum of chILD. In 346 patients, multidisciplinary reviews were completed by teams at five international sites (Munich 51%, London 12%, Hannover 31%, Ankara 1% and Paris 5%). In 13%, the diagnosis reached by the referring team was not confirmed by peer review. Among these, the diagnosis initially given was wrong (27%), imprecise (50%) or significant information was added (23%).The ability of nine expert clinicians to subcategorise the final diagnosis into the chILD-EU register classification had an overall exact inter-rater agreement of 59% on first assessment and after training, 64%. Only 10% of the ‘wrong’ answers resulted in allocation to an incorrect category. Subcategorisation proved useful but training is needed for optimal implementation.ConclusionsWe have shown that chILD-EU has generated a platform to help the clinical assessment of chILD.Trial registration numberResults, NCT02852928. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 |
ISSN: | 0040-6376 1468-3296 1468-3296 |
DOI: | 10.1136/thoraxjnl-2017-210519 |