Abstract

Background and Objective: Patients with IPF show variable survival duration. We assessed the use of various combinations of blood, lung function and imaging measures to predict mortality in IPF.

Methods: In an Oxford IPF cohort (n=75) with CALIPER-compatible CTs we determined annualised change (?) in forced vital capacity (FVC), total CT fibrosis score (TLF%), and CALIPER-measured lung volume (CTvol) over a 3-year period. Different combinations of these metrics were compared against mortality using Cox regression. We compared concordance indexes (c-statistic) of different Cox models to determine the most predictive and discriminative combination for mortality. Multivariate models were adjusted for age, gender, baseline TLF%, antifibrotic use and either included* or excluded? leukocytes.

Results: Combined measurements of ?CTvol, ?FVC and ?TLF% were more predictive of mortality than single measures. Each model was further enhanced by addition of leukocytes (continuous variables, Table 1).

Measure of progression HR p value C-statistic
?CTvol>10%? 2.95 0.013 0.747
?CTvol>10%* 3.86 0.005 0.792
?TLF>10%? 2.37 0.067 0.760
?TLF>10%* 2.02 0.143 0.770
?FVC>10%? 6.15 <0.001 0.811
?FVC>10%* 10.71 <0.001 0.866
?FVC>5% or ?CTvol>5% or ?TLF%>5%? 4.24 0.048 0.728
?FVC>5% or ?CTvol>5% or ?TLF%>5%* 7.09 0.014 0.833
?FVC>10% or ?CTvol>10% or ?TLF%>10%? 7.14 <0.001 0.805
?FVC>10% or ?CTvol>10% or %?TLF>10%* 8.22 <0.001 0.851

Conclusion: In our IPF cohort, adding blood leukocytes to a composite of disease progression measures enhanced prediction of mortality. The findings also support potential role for monocytes, neutrophils & lymphocytes in pathobiology of IPF.