@article{5d0e99596b974764bf40ebeced7d2d9f,
title = "The angiostatic peptide endostatin enhances mortality risk prediction in pulmonary arterial hypertension",
abstract = "Currently available noninvasive markers for assessing disease severity and mortality risk in pulmonary arterial hypertension (PAH) are unrelated to fundamental disease biology. Endostatin, an angiostatic peptide known to inhibit pulmonary artery endothelial cell migration, proliferation and survival in vitro, has been linked to adverse haemodynamics and shortened survival in small PAH cohorts. This observational cohort study sought to assess: 1) the prognostic performance of circulating endostatin levels in a large, multicentre PAH cohort; and 2) the added value gained by incorporating endostatin into existing PAH risk prediction models. Endostatin ELISAs were performed on enrolment samples collected from 2017 PAH subjects with detailed clinical data, including survival times. Endostatin associations with clinical variables, including survival, were examined using multivariable regression and Cox proportional hazards models. Extended survival models including endostatin were compared to null models based on the REVEAL risk prediction tool and European Society of Cardiology/European Respiratory Society (ESC/ERS) low-risk criteria using likelihood ratio tests, Akaike and Bayesian information criteria and C-statistics. Higher endostatin was associated with higher right atrial pressure, mean pulmonary arterial pressure and pulmonary vascular resistance, and with shorter 6-min walk distance (p<0.01). Mortality risk doubled for each log higher endostatin (hazard ratio 2.3, 95% CI 1.6-3.4, p<0.001). Endostatin remained an independent predictor of survival when incorporated into existing risk prediction models. Adding endostatin to REVEAL-based and ESC/ERS criteria-based risk assessment strategies improved mortality risk prediction. Endostatin is a robust, independent predictor of mortality in PAH. Adding endostatin to existing PAH risk prediction strategies improves PAH risk assessment.",
author = "Simpson, {Catherine E.} and Megan Griffiths and Jun Yang and Nies, {Melanie K.} and Vaidya, {R. Dhananjay} and Stephanie Brandal and Martin, {Lisa J.} and Pauciulo, {Michael W.} and Lutz, {Katie A.} and Coleman, {Anna W.} and Austin, {Eric D.} and Ivy, {D. Dunbar} and Nichols, {William C.} and Everett, {Allen D.} and Hassoun, {Paul M.} and Damico, {Rachel L.}",
note = "Funding Information: Support statement: This study was supported by National Institutes of Health/National Heart, Lung, and Blood Institute award R01HL135114 and R01 HL150070 (A.D. Everett, M.K. Nies, J. Yang, R.L. Damico, R.D. Vaidya, W.C. Nichols, D.D. Ivy and E.D. Austin), R01HL132153 (R.L. Damico and P.M. Hassoun), R24 HL105333 (W.C. Nichols and M.W. Pauciulo), K12-HD000850 (M. Griffiths) and K23HL153781 (C.E. Simpson). Funding information for this article has been deposited with the Crossref Funder Registry. Funding Information: Conflict of interest: C.E. Simpson has nothing to disclose. M. Griffiths has nothing to disclose. J. Yang has nothing to disclose. M.K. Nies has nothing to disclose. R.D. Vaidya has nothing to disclose. S. Brandal has nothing to disclose. L.J. Martin reports grants from the NIH during the conduct of the study. M.W. Pauciulo has nothing to disclose. K.A. Lutz has nothing to disclose. A.W. Coleman has nothing to disclose. E.D. Austin reports grants from the NIH/NHLBI during the conduct of the study. The University of Colorado has contracts with Actelion, Bayer, GSK, Lilly, Liquidia and United Therapeutics for D.D. Ivy to be a consultant and to perform clinical trials. D.D. Ivy has received money for travel and lodging from Bayer, and food and beverages from United Therapeutics. W.C. Nichols has nothing to disclose. A.D. Everett has a patent (Biomarkers of Pulmonary Hypertension) pending. P.M. Hassoun served on a scientific advisory board for Merck & Co. R.L. Damico has nothing to disclose. Publisher Copyright: {\textcopyright} The authors 2021.",
year = "2021",
month = oct,
day = "1",
doi = "10.1183/23120541.00378-2021",
language = "English (US)",
volume = "7",
journal = "ERJ Open Research",
issn = "2312-0541",
publisher = "European Respiratory Society",
number = "4",
}