Evidence map›Paper›PMID 29491185›Full record

ArticleScience translational medicine2018

Mechanical circulatory support device-heart hysteretic interaction can predict left ventricular end diastolic pressure.

Brian Y Chang, Steven P Keller, Sonya S Bhavsar, Noam Josephy, Elazer R Edelman

Abstract read
In one paragraph

Article in Science translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  8. Leveraging Device-Arterial Coupling to Determine Cardiac and Vascular State.IEEE transactions on bio-medical engineering · 2019
    Article
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

5 authors at 3 institutions in 1 country.

Brian Y ChangInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0003-3067-2353
Steven P KellerInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. spkeller@mit.edu.ORCID 0000-0002-3870-9811
Sonya S BhavsarAbiomed Inc., Danvers, MA 01923, USA.
Noam JosephyInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0003-1403-9769
Elazer R EdelmanInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-7832-7156
Abiomed (United States) · USBrigham and Women's Hospital · USMassachusetts Institute of Technology · US

Funding

Vascular Drug Delivery - Supplement for EquipmentR01GM049039 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EDELMAN, ELAZER R · 1994 to 2019
$8.9M
Organ Design and Engineering Training Program (ODET Program)T32EB016652 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 2014 to 2023
$3.5M
NIBIB NIH HHS T32 EB016652NIGMS NIH HHS R01 GM049039
6 · The paper itself

Abstract

The full potential of mechanical circulatory systems in the treatment of cardiogenic shock is impeded by the lack of accurate measures of cardiac function to guide clinicians in determining when to initiate and how to optimally titrate support. The left ventricular end diastolic pressure (LVEDP) is an established metric of cardiac function that refers to the pressure in the left ventricle at the end of ventricular filling and immediately before ventricular contraction. In clinical practice, LVEDP is typically only inferred from, and poorly correlates with, the pulmonary capillary wedge pressure (PCWP). We leveraged the position of an indwelling percutaneous ventricular assist device and advanced data analysis methods to obtain LVEDP from the hysteretic operating metrics of the device. We validated our hysteresis-derived LVEDP measurement using mock flow loops, an animal model of cardiac dysfunction, and data from a patient in cardiogenic shock to show greater measurement precision and correlation with actual pressures than traditional inferences via PCWP. Delineation of the nonlinear relationship between device and heart adds insight into the interaction between ventricular support devices and the native heart, paving the way for continuous assessment of underlying cardiac state, metrics of cardiac function, potential closed-loop automated control, and rational design of future innovations in mechanical circulatory support systems.

Indexed as

Blood PressureHeart-Assist DevicesHeart VentriclesHemodynamicsHumansPulmonary Wedge PressureRetrospective Studies

Identifiers

PMID29491185
PMCPMC6530904
OpenAlexW2788480230

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.