Two prospective, multicenter studies for the identification of biomarker signatures for early detection of pulmonary hypertension (PH): The CIPHER and CIPHER‐MRI studies

Author:

Lawrie Allan1ORCID,Chin Kelly2,Fong Yiu‐Lian3,Gargano Cynthia3,Gitton Xavier4,He Cheng5,Kiely David G.6ORCID,Zhou Li5,Zhou Lihan5,Maron Bradley A.78ORCID,Quinn Debbie9,Rosenkranz Stephan1011,Stamatiadis Dimitri9,Toshner Mark12,Wilkins Martin R.1,Howard Luke1,Preston Ioana R.13

Affiliation:

1. National Heart and Lung Institute Imperial College London London UK

2. Division of Pulmonary and Critical Care Medicine UT Southwestern Medical Center Dallas Texas USA

3. Statistics and Decision Sciences Janssen Pharmaceuticals Inc. Raritan New Jersey USA

4. Compound Development Actelion Pharmaceuticals Ltd, a Johnson & Johnson Company Allschwil Switzerland

5. Research and Development MiRXES Lab Singapore Singapore

6. NIHR Biomedical Research Centre Sheffield and Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital Sheffield Teaching Hospitals NHS Foundation Trust Sheffield UK

7. Department of Medicine University of Maryland School of Medicine Baltimore Maryland USA

8. The University of Maryland‐Institute for Health Computing Bethesda Maryland USA

9. Clinical Science, Actelion Pharmaceuticals Ltd, a Johnson & Johnson Company Allschwil Switzerland

10. Department of Cardiology Heart Center at the University Hospital Cologne Cologne Germany

11. Cologne Cardiovascular Research Center (CCRC) University of Cologne Cologne Germany

12. Department of Medicine, VPD Heart & Lung Research Institute University of Cambridge Cambridge UK

13. Pulmonary, Critical Care and Sleep Division Tufts Medical Center Boston Massachusetts USA

Abstract

AbstractA blood test identifying patients at increased risk of pulmonary hypertension (PH) could streamline the investigative pathway. The prospective, multicenter CIPHER study aimed to develop a microRNA‐based signature for detecting PH in breathless patients and enrolled adults with a high suspicion of PH who had undergone right heart catheterization (RHC). The CIPHER‐MRI study was added to assess the performance of this CIPHER signature in a population with low probability of having PH who underwent cardiac magnetic resonance imaging (cMRI) instead of RHC. The microRNA signature was developed using a penalized linear regression (LASSO) model. Data were modeled both with and without N‐terminal pro‐brain natriuretic peptide (NT‐proBNP). Signature performance was assessed against predefined thresholds (lower 98.7% CI bound of ≥0.73 for sensitivity and ≥0.53 for specificity, based on a meta‐analysis of echocardiographic data), using RHC as the true diagnosis. Overall, 926 CIPHER participants were screened and 888 were included in the analysis. Of 688 RHC‐confirmed PH cases, approximately 40% were already receiving PH treatment. Fifty microRNA (from 311 investigated) were algorithmically selected to be included in the signature. Sensitivity [97.5% CI] of the signature was 0.85 [0.80–0.89] for microRNA‐alone and 0.90 [0.86–0.93] for microRNA+NT‐proBNP, and the corresponding specificities were 0.33 [0.24–0.44] and 0.28 [0.20–0.39]. Of 80 CIPHER‐MRI participants with evaluable data, 7 were considered PH‐positive by cMRI whereas 52 were considered PH‐positive by the microRNA signature. Due to low specificity, the CIPHER miRNA‐based signature for PH (either with or without NT‐proBNP in model) did not meet the prespecified diagnostic threshold for the primary analysis.

Funder

British Heart Foundation

Publisher

Wiley

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