• T Diridollou, L Sohier, C Rousseau, A Angibaud, P Chauvin, T Gaignon, M Tas, J Lemerre, M Kerjouan, A Salé, M Lederlin, and S Jouneau.
• Service de pneumologie, centre de compétences pour les maladies rares pulmonaires, CHU de Rennes, France, Université de Rennes 1, Rennes, France. Electronic address: thomas.diridollou@gmail.com.
• Respir Med Res. 2020 Mar 1; 77: 72-78.

IntroductionThe new 2018 international guidelines for diagnosing usual interstitial pneumonia (UIP)/idiopathic pulmonary fibrosis (IPF) by CT scan split the old pattern possible UIP (2011 IPF guidelines) into two new patterns: probable UIP and indeterminate for UIP. However, the proportions and prognoses of these new CT-scan patterns are not clear.MethodsWe used a monocentric retrospective cohort of 322 patients suspected of having IPF (University Hospital of Rennes; Competence Center for Rare Lung Diseases; 1 January 2012-31 December 2017). All patients initially diagnosed by CT scan as possible UIP were included. The chest CT-scans were then reclassified according to the new 2018 international guidelines by 3 observers. These data were then subjected to survival analysis with multivariate Cox regression using a composite endpoint of death, lung transplantation, a decline of≥10% in forced vital capacity (FVC), or hospitalization.ResultsOf the 89 possible UIP patients included, 74 (83%) were reclassified as probable UIP and 15 (17%) as indeterminate for UIP. Probable UIP patients were more likely to meet the composite endpoint (56/74 [75.7%] vs. 5/15 [33%] patients; HR [IC 95%] =3.12 [1.24; 7.83], P=0.015). Multivariate analysis indicated that the probable UIP pattern was associated with significantly increased risk of reaching the composite endpoint (HR [95% CI]=2.85[1.00; 8.10], P=0.049).ConclusionThe majority of possible UIP diagnoses corresponded to probable UIP, which was associated with a significantly worse prognosis than indeterminate for UIP. This distinction between these two CT patterns emphasizes the relevance of the new international guidelines for the diagnosis of IPF.Copyright © 2020 SPLF and Elsevier Masson SAS. All rights reserved.

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