Evidence map›Paper›PMID 33595923›Full record

ArticleESC heart failure2021

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

Mark N Belkin, Francis J Alenghat, Stephanie A Besser, Ann B Nguyen, Ben B Chung, Bryan A Smith, Sara Kalantari, Nitasha Sarswat, John E A Blair, Gene H Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 30 citations in OpenAlex.

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  13. Hemodynamic management of cardiogenic shock in the intensive care unit.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Mark N BelkinUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Francis J AlenghatUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Stephanie A BesserUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Ann B NguyenUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Ben B ChungUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Bryan A SmithUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Sara KalantariUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Nitasha SarswatUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
John E A BlairUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Gene H KimUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Sean P PinneyUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
Jonathan GrinsteinUniversity of Chicago Medicine, Section of Cardiology, Chicago, IL, USA.
University of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAortic 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. METHODS AND

resultsThe 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.

conclusionsThe novel haemodynamic measurement API better predicted clinical outcomes in the ESCAPE trial when compared with traditional invasive haemodynamic metrics of cardiac function.

Indexed as

Heart-Assist DevicesHeart FailureCatheterization, Swan-GanzHumansPulmonary ArteryPulmonary Wedge PressureAcute decompensated heart failureCatheterizationHaemodynamicsHeart failurePulse pressure

Identifiers

PMID33595923
PMCPMC8006667
OpenAlexW3132722462

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.