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An adjudication algorithm for respiratory-related hospitalisation in idiopathic pulmonary fibrosis

Authors: Ford, Paul; Kreuter, Michael; Brown, Kevin K.; Wuyts, Wim A.; Wijsenbeek, Marlies; Israel-Biet, Dominique; Hubbard, Richard; +11 Authors

An adjudication algorithm for respiratory-related hospitalisation in idiopathic pulmonary fibrosis

Abstract

BackgroundThere is no standard definition of respiratory-related hospitalisation, a common end-point in idiopathic pulmonary fibrosis (IPF) clinical trials. As diverse aetiologies and complicating comorbidities can present similarly, external adjudication is sometimes employed to achieve standardisation of these events.MethodsAn algorithm for respiratory-related hospitalisation was developed through a literature review of IPF clinical trials with respiratory-related hospitalisation as an end-point. Experts reviewed the algorithm until a consensus was reached. The algorithm was validated using data from the phase 3 ISABELA trials (clinicaltrials.govidentifiersNCT03711162andNCT03733444), by assessing concordance between nonadjudicated, investigator-defined, respiratory-related hospitalisations and those defined by the adjudication committee using the algorithm.ResultsThe algorithm classifies respiratory-related hospitalisation according to cause: extraparenchymal (worsening respiratory symptoms due to left heart failure, volume overload, pulmonary embolism, pneumothorax or trauma); other (respiratory tract infection, right heart failure or exacerbation of COPD); “definite” acute exacerbation of IPF (AEIPF) (worsening respiratory symptoms within 1 month, with radiological or histological evidence of diffuse alveolar damage); or “suspected” AEIPF (as for “definite” AEIPF, but with no radiological or histological evidence of diffuse alveolar damage). Exacerbations (“definite” or “suspected”) with identified triggers (infective, post-procedural or traumatic, drug toxicity- or aspiration-related) are classed as “known AEIPF”; “idiopathic AEIPF” refers to exacerbations with no identified trigger. In the ISABELA programme, there was 94% concordance between investigator- and adjudication committee-determined causes of respiratory-related hospitalisation.ConclusionThe algorithm could help to ensure consistency in the reporting of respiratory-related hospitalisation in IPF trials, optimising its utility as an end-point.

Keywords

Science & Technology, BOSENTAN, Respiratory System, PIRFENIDONE, R, PLACEBO-CONTROLLED TRIAL, DIAGNOSIS, EFFICACY, ACUTE EXACERBATIONS, RANDOMIZED-TRIAL, DOUBLE-BLIND, ACETYLCYSTEINE, 3211 Oncology and carcinogenesis, Original Research Articles, Medicine, COHORT, 3201 Cardiovascular medicine and haematology, Life Sciences & Biomedicine

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold