Evidence map›Paper›PMID 37550417›Full record

ArticleNature medicine2023

Tissue perfusion pressure enables continuous hemodynamic evaluation and risk prediction in the intensive care unit.

Anand Chandrasekhar, Raimon Padrós-Valls, Roger Pallarès-López, Eric Palanques-Tost, Nicholas Houstis, Thoralf M Sundt, Hae-Seung Lee, Charles G Sodini, Aaron D Aguirre

Open access · greenAbstract read
In one paragraph

Article in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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  11. Differential Cardiac Responses after Passive Leg Raising.Journal of clinical monitoring and computing · 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

9 authors at 3 institutions in 1 country.

Anand Chandrasekhar *Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9541-8191
Raimon Padrós-Valls *Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7321-8973
Roger Pallarès-LópezCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0009-0007-7170-3810
Eric Palanques-TostCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0783-9779
Nicholas HoustisCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Thoralf M SundtCardiac Surgery Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Hae-Seung LeeDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Charles G SodiniDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Aaron D AguirreCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. Aguirre.Aaron@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-5509-1646
Harvard University · USMassachusetts Institute of Technology · USMassachusetts General Hospital · US

Funding

Dynamic Single Cell Imaging of Coronary Microvascular Dysfunction in the Failing HeartR01HL144515 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI AGUIRRE, AARON D · 2019 to 2023
$2.1M
NHLBI NIH HHS R01 HL144515U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER) HL144515
6 · The paper itself

Abstract

Treatment of circulatory shock in critically ill patients requires management of blood pressure using invasive monitoring, but uncertainty remains as to optimal individual blood pressure targets. Critical closing pressure, which refers to the arterial pressure when blood flow stops, can provide a fundamental measure of vascular tone in response to disease and therapy, but it has not previously been possible to measure this parameter routinely in clinical care. Here we describe a method to continuously measure critical closing pressure in the systemic circulation using readily available blood pressure monitors and then show that tissue perfusion pressure (TPP), defined as the difference between mean arterial pressure and critical closing pressure, provides unique information compared to other hemodynamic parameters. Using analyses of 5,988 admissions to a modern cardiac intensive care unit, and externally validated with 864 admissions to another institution, we show that TPP can predict the risk of mortality, length of hospital stay and peak blood lactate levels. These results indicate that TPP may provide an additional target for blood pressure optimization in patients with circulatory shock.

Indexed as

Intensive Care UnitsShockBlood PressureHemodynamicsHumansPerfusion

Identifiers

PMID37550417
PMCPMC12935171
OpenAlexW4385638400

What OpenQuestion holds

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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.