Evidence map›Paper›PMID 30703007›Full record

ArticleIEEE transactions on bio-medical engineering2019

Leveraging Device-Arterial Coupling to Determine Cardiac and Vascular State.

Brian Y Chang, Steven P Keller, Elazer R Edelman

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Brian Y Chang
Steven P Keller
Elazer R Edelman
Brigham 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
Functional restoration of ventriculo-arterial coupling in cardiogenic shock via dual mechanical supportK08HL143342 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KELLER, STEVEN PAUL · 2018 to 2023
$853k
NHLBI NIH HHS K08 HL143342NIBIB NIH HHS T32 EB016652NIGMS NIH HHS R01 GM049039
6 · The paper itself

Abstract

objectiveLimitations in available diagnostic metrics restrict the efficacy of managing therapies for cardiogenic shock. In current clinical practice, cardiovascular state is inferred through measurement of pulmonary capillary wedge pressure and reliance on linear approximations between pressure and flow to estimate peripheral vascular resistance. Mechanical circulatory support devices residing within the left ventricle and aorta provide an opportunity for both determining cardiac and vascular state and offering therapeutic benefit. We leverage the controllable mode of operation and transvalvular position of an indwelling percutaneous ventricular assist device to assess vascular and, in turn, cardiac state through the effects of device-arterial coupling across different levels of device support.

methodsVascular state is determined by measuring changes in the pressure waveforms induced through intentional variation in the device generated blood flow. We evaluate this impact by applying a lumped parameter model to quantify state-specific vascular resistance and compliance and calculate beat-to-beat stroke volume and cardiac output in both animal models and retrospective patient data without external calibration.

resultsVascular state was accurately predicted in patients and animals in both baseline and experimental conditions. In the animal, stroke volume was predicted within a total root mean square error of 3.71 mL (n = 482).

conclusionWe demonstrate that device-arterial coupling is a powerful tool for evaluating patient and state specific parameters of cardiovascular function. SIGNIFICANCE: These insights may yield improved clinical care and support the development of next generation mechanical circulatory support devices that determine and operate in tandem with the supported organ.

Indexed as

Heart-Assist DevicesAnimalsHemodynamicsHumansMachine LearningMaleModels, AnimalModels, CardiovascularProsthesis DesignRetrospective StudiesShock, CardiogenicStroke VolumeSwineVascular Resistance

Identifiers

PMID30703007
PMCPMC6661194
OpenAlexW2911912468

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.