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The CALIPER-Revised Version of the Composite Physiologic Index is a Better Predictor of Survival in IPF than the Original Version

  • Karishma S. Hosein
  • Gianluigi Sergiacomi
  • Maurizio Zompatori
  • Marco MuraEmail author
INTERSTITIAL LUNG DISEASE
  • 24 Downloads

Abstract

CALIPER is a computer-based quantitative algorithm to accurately characterize and quantify pulmonary fibrosis, and a revised version of composite physiologic index (CPI) has been developed against this new algorithm. The prognostic capabilities of the original and CALIPER-revised versions of CPI were compared in a cohort of 185 patients with IPF prospectively followed in 2 centers. CALIPER-revised CPI was a significant risk factor towards lung transplant (LTx)-free survival, with enhanced hazard ratio (5.68) compared to the original CPI (5.36). Accuracy of LTx-free survival was substantially improved with CALIPER-revised CPI (area under the curve [AUC] 0.75 vs. 0.66), with much better specificity (83% vs. 55%). Six-month changes of CALIPER-revised CPI predicted survival significantly (AUC 0.65). CALIPER-revised CPI is a better predictor of LTx-free survival in patients with IPF. Since CALIPER technology is not available to all centers, this simple and easy to obtain tool may be used to guide management decisions in IPF.

Keywords

Idiopathic pulmonary fibrosis Survival Prognosis CALIPER CPI 

Notes

Acknowledgements

Supported by the Western University Department of Medicine Research Fund (recipient Dr. Marco Mura).

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Division of Respirology, Department of MedicineWestern UniversityLondonCanada
  2. 2.Diagnostica Per Immagini e Radiologia Interventistica, Policlinico Tor VergataUniversity of Rome “Tor Vergata”RomeItaly
  3. 3.Radiologia, MultiMedica Group, I.R.C.C.S. San Giuseppe HospitalMilanItaly

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