Design, Rationale, Methodology, and Aims of a Greek Prospective Idiopathic Pulmonary Fibrosis Registry: Investigating Idiopathic Pulmonary Fibrosis in Greece (INDULGE IPF)

The Pulmonary Fibrosis Foundation Patient Registry. Rationale, Design, and Methods

Detailed understanding of longitudinal behavior, response to therapy, and applicable biomarkers for interstitial lung diseases (ILDs) is lacking. There is a need for a large multicenter registry that provides researchers and clinicians access to well-characterized data not limited to patients with idiopathic pulmonary fibrosis. The Pulmonary Fibrosis Foundation Patient Registry (PFF-PR) is a database that collects baseline and longitudinal demographic and clinical information about patients with ILDs in the United States. The objective of this study is to describe the patient population, data collection process, and opportunities for retrospective and prospective research with the PFF-PR. Individuals 18 years or older who had ILD diagnosed and who were seen at PFF-PR centers who provided informed consent were eligible to participate. Baseline and longitudinal demographic, spirometric, radiographic, morbidity, and mortality data are recorded into a secure electronic data capture system. Starting in 2016, the PFF-PR has collected data on 2,003 patients at 42 clinical sites in the United States. At the time of enrollment, the mean age of participants was 68 years old. Most (62%) of participants were male, and 58% had a positive smoking history. The mean forced vital capacity was 69% predicted, and the mean diffusing capacity of the lung for carbon monoxide was 43% predicted. Forty-one percent of patients were using supplemental oxygen, and 39% were on antifibrotic therapy. Reasons for attrition were mostly death or transplant, with low rates of loss to follow-up or withdrawal. The PFF-PR is a large multicenter United States-based registry that provides researchers and clinicians access to well-characterized ILD patient data.

Identification of a unique temporal signature in blood and BAL associated with IPF progression

Idiopathic pulmonary fibrosis (IPF) is a progressive and heterogeneous interstitial lung disease of unknown origin with a low survival rate. There are few treatment options available due to the fact that mechanisms underlying disease progression are not well understood, likely because they arise from dysregulation of complex signaling networks spanning multiple tissue compartments. To better characterize these networks, we used systems-focused data-driven modeling approaches to identify cross-tissue compartment (blood and bronchoalveolar lavage) and temporal proteomic signatures that differentiated IPF progressors and non-progressors. Partial least squares discriminant analysis identified a signature of 54 baseline (week 0) blood and lung proteins that differentiated IPF progression status by the end of 80 weeks of follow-up with 100% cross-validation accuracy. Overall we observed heterogeneous protein expression patterns in progressors compared to more homogenous signatures in non-progressors, and found that non-progressors were enriched for proteomic processes involving regulation of the immune/defense response. We also identified a temporal signature of blood proteins that was significantly different at early and late progressor time points (p < 0.0001), but not present in non-progressors. Overall, this approach can be used to generate new hypothesis for mechanisms associated with IPF progression and could readily be translated to other complex and heterogeneous diseases.

Survival and course of lung function in the presence or absence of antifibrotic treatment in patients with idiopathic pulmonary fibrosis: long-term results of the INSIGHTS-IPF registry

Objective

There is a paucity of observational data on antifibrotic therapy for idiopathic pulmonary fibrosis (IPF). We aimed to assess the course of disease of IPF patients with and without antifibrotic therapy under real-life conditions.

Methods

We analysed data from a non-interventional, prospective cohort study of consecutively enrolled IPF patients from 20 interstitial lung disease expert centres in Germany. Data quality was ensured by automated plausibility checks, on-site monitoring, and source data verification. Propensity scores were applied to account for known differences in baseline characteristics between patients with and without antifibrotic therapy.

Results

Among the 588 patients suitable for analysis, the mean±sd age was 69.8±9.1 years, and 81.0% were male. The mean±sd duration of disease since diagnosis was 1.8±3.4 years. The mean±sd value at baseline for forced vital capacity (FVC) and diffusion capacity (DLCO) were 68.6±18.8% predicted and 37.8±18.5% predicted, respectively. During a mean±sd follow-up of 1.2±0.7 years, 194 (33.0%) patients died. The 1-year and 2-year survival rates were 87% versus 46% and 62% versus 21%, respectively, for patients with versus without antifibrotic therapy. The risk of death was 37% lower in patients with antifibrotic therapy (hazard ratio 0.63, 95% CI 0.45; 0.87; p=0.005). The results were robust (and remained statistically significant) on multivariable analysis. Overall decline of FVC and DLCO was slow and did not differ significantly between patients with or without antifibrotic therapy.

Conclusions

Survival was significantly higher in IPF patients with antifibrotic therapy, but the course of lung function parameters was similar in patients with and without antifibrotic therapy. This suggests that in clinical practice, premature mortality of IPF patients eventually occurs despite stable measurements for FVC and DLCO.

The European MultiPartner IPF registry (EMPIRE): validating long-term prognostic factors in idiopathic pulmonary fibrosis

Background

Several registries of idiopathic pulmonary fibrosis (IPF) have been established to better understand its natural history, though their size and duration of follow-up are limited. Here, we describe the large European MultiPartner IPF Registry (EMPIRE) and validate predictors of long-term survival in IPF.

Methods

The multinational prospective EMPIRE registry enrolled IPF patients from 48 sites in 10 Central and Eastern European countries since 2014. Survival from IPF diagnosis until death was estimated, accounting for left-truncation. The Cox proportional hazards regression model was used to estimate adjusted hazard ratios (HR) of death for prognostic factors, using restricted cubic splines to fit continuous factors.

Results

The cohort included 1620 patients (mean age at diagnosis 67.6 years, 71% male, 63% smoking history), including 75% enrolled within 6 months of diagnosis. Median survival was 4.5 years, with 45% surviving 5 years post-diagnosis. Compared with GAP stage I, mortality was higher with GAP stages II (HR 2.9; 95% CI: 2.3–3.7) and III (HR 4.0; 95% CI: 2.8–5.7) while, with redefined cut-offs, the corresponding HRs were 2.7 (95% CI: 1.8–4.0) and 5.8 (95% CI: 4.0–8.3) respectively. Mortality was higher with concurrent pulmonary hypertension (HR 2.0; 95% CI: 1.5–2.9) and lung cancer (HR 2.6; 95% CI: 1.3–4.9).

Conclusions

EMPIRE, one of the largest long-term registries of patients with IPF, provides a more accurate confirmation of prognostic factors and co-morbidities on longer term five-year mortality. It also suggests that some fine-tuning of the indices for mortality may provide a more accurate long-term prognostic profile for these patients.

Patient Registries in Idiopathic Pulmonary Fibrosis

Over the past decade, several large registries of patients with idiopathic pulmonary fibrosis (IPF) have been established. These registries are collecting a wealth of longitudinal data on thousands of patients with this rare disease. The data collected in these registries will be complementary to data collected in clinical trials because the patient populations studied in registries have a broader spectrum of disease severity and comorbidities and can be followed for a longer period of time. Maintaining the quality and completeness of registry databases presents administrative and resourcing challenges, but it is important to ensuring the robustness of the analyses. Data from patient registries have already helped improve understanding of the clinical characteristics of patients with IPF, the impact that the disease has on their quality of life and survival, and current practices in diagnosis and management. In the future, analyses of biospecimens linked to detailed patient profiles will provide the opportunity to identify biomarkers linked to disease progression, facilitating the development of precision medicine approaches for prognosis and therapy in patients with IPF.