Eligibility for anti-fibrotic treatment in idiopathic pulmonary fibrosis depends on the predictive equation used for pulmonary function testing

© 2019 Asian Pacific Society of Respirology..

BACKGROUND AND OBJECTIVE: Publicly funded therapy for idiopathic pulmonary fibrosis (IPF) relies on percentage predicted values from pulmonary function testing, for example Australian patients must have a forced vital capacity ≥50% (%FVC), transfer factor of the lung for carbon monoxide ≥ 30% (%TLco) and forced expiratory volume in 1 s (FEV1 )/FVC ratio > 0.7. Despite defined cut-off values, no jurisdiction prescribes a reference equation for use; multiple equations exist. We hypothesized that access to subsidized treatment varies depending on the chosen equation. The %FVC and %TLco from different commonly used reference equations across general respiratory patients, and IPF-specific patients, were compared.

METHODS: FVC and TLco measurements from a large general respiratory laboratory and the Australian Idiopathic Pulmonary Fibrosis Registry (AIPFR) database were analysed using multiple equations. Differences between %FVC and %TLco for each equation were calculated, with particular interest in classification of patients (%) at the threshold for subsidized treatment.

RESULTS: A total of 20 378 general respiratory database results were analysed. The %FVC ≥ 50% increased from 86% with the Roca equation to 96% with Quanjer (European Coal and Steal Community, ECSC) and %TLco≥30% increased from 91% with Paoletti to 98% with Thompson. However, overall increase in eligibility for subsidized treatment was modest, varying from 48.2% to 49.2%. A total of 545 AIPFR database results were analysed. The %FVC ≥ 50% increased from 73% with Roca to 94% with Quanjer (ECSC) and %TLco≥30% increased from 87% with Paoletti to 96% with Miller. Overall eligibility for subsidized treatment in the AIPFR group varied from 73.6% to 82.8% between surveyed interstitial lung disease (ILD) centres based entirely on the equation used.

CONCLUSION: Substantial variability exists between reference equations, impacting access to subsidized treatment. Treating clinicians should be aware of this when assessing patients around public funding thresholds.

Errataetall:

CommentIn: Respirology. 2019 Oct;24(10):928-929. - PMID 31246343

Medienart:

E-Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

Respirology (Carlton, Vic.) - 24(2019), 10 vom: 26. Okt., Seite 988-995

Sprache:

Englisch

Beteiligte Personen:

Burgess, Andrew [VerfasserIn]
Goon, Ken [VerfasserIn]
Brannan, John D [VerfasserIn]
Attia, John [VerfasserIn]
Palazzi, Kerrin [VerfasserIn]
Oldmeadow, Christopher [VerfasserIn]
Corte, Tamera J [VerfasserIn]
Glaspole, Ian [VerfasserIn]
Goh, Nicole [VerfasserIn]
Keir, Gregory [VerfasserIn]
Allan, Heather [VerfasserIn]
Chapman, Sally [VerfasserIn]
Cooper, Wendy [VerfasserIn]
Ellis, Samantha [VerfasserIn]
Hopkins, Peter [VerfasserIn]
Moodley, Yuben [VerfasserIn]
Reynolds, Paul [VerfasserIn]
Zappala, Chris [VerfasserIn]
Macansh, Sacha [VerfasserIn]
Grainge, Christopher [VerfasserIn]

Links:

Volltext

Themen:

7U1EE4V452
Carbon Monoxide
Fibrosis
Journal Article
Lung function
Predicted equations
Research Support, Non-U.S. Gov't
Treatment

Anmerkungen:

Date Completed 29.06.2020

Date Revised 29.06.2020

published: Print-Electronic

CommentIn: Respirology. 2019 Oct;24(10):928-929. - PMID 31246343

Citation Status MEDLINE

doi:

10.1111/resp.13540

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM295463872