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Aortic pulsatility index predicts clinical outcomes in heart failure: a sub-analysis of the ESCAPE trial.

Authors :
Belkin MN
Alenghat FJ
Besser SA
Nguyen AB
Chung BB
Smith BA
Kalantari S
Sarswat N
Blair JEA
Kim GH
Pinney SP
Grinstein J
Source :
ESC heart failure [ESC Heart Fail] 2021 Apr; Vol. 8 (2), pp. 1522-1530. Date of Electronic Publication: 2021 Feb 17.
Publication Year :
2021

Abstract

Aims: Aortic pulsatility index (API), calculated as (systolic-diastolic blood pressure)/pulmonary capillary wedge pressure (PCWP), is a novel haemodynamic measurement representing both cardiac filling pressures and contractility. We hypothesized that API would better predict clinical outcomes than traditional haemodynamic metrics of cardiac function.<br />Methods and Results: The Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness (ESCAPE) trial individual-level data were used. Routine haemodynamic measurements, including Fick cardiac index (CI), and the advanced haemodynamic metrics of API, cardiac power output (CPO), and pulmonary artery pulsatility index (PAPI) were calculated after final haemodynamic-monitored optimization. The primary outcome was a composite endpoint of death or need for orthotopic heart transplant (OHT) or left ventricular assist device (LVAD) at 6 months. A total of 433 participants were enrolled in the ESCAPE trial of which 145 had final haemodynamic data. Final API measurements predicted the primary outcome, OR 0.47 (95% CI 0.32-0.70, P < 0.001), while CI, CPO, and PAPI did not. Receiver operator characteristic analyses of final advanced haemodynamic measurements indicated API best predicted the primary outcome with a cutoff of 2.9 (sensitivity 76.2%, specificity 55.3%, correctly classified 61.4%, area-under-the-curve 0.71), compared with CPO, CI, and PAPI. Kaplan-Meier analyses indicated API ≥ 2.9 was associated with greater freedom from the primary outcome (83.5%), compared with API < 2.9 (58.4%), P = 0.001. While PAPI was also significantly associated, CI and CPO were not.<br />Conclusions: The novel haemodynamic measurement API better predicted clinical outcomes in the ESCAPE trial when compared with traditional invasive haemodynamic metrics of cardiac function.<br /> (© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Details

Language :
English
ISSN :
2055-5822
Volume :
8
Issue :
2
Database :
MEDLINE
Journal :
ESC heart failure
Publication Type :
Academic Journal
Accession number :
33595923
Full Text :
https://doi.org/10.1002/ehf2.13246