Evidence map›Paper›PMID 32614685›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2020

Defining human mean circulatory filling pressure in the intensive care unit.

Marije Wijnberge, Jaap Schuurmans, Rob B P de Wilde, Martijn K Kerstens, Alexander P Vlaar, Markus W Hollmann, Denise P Veelo, Michael R Pinsky, Jos R C Jansen, Bart F Geerts

Abstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2020. 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
–field-weighted citation impact
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.

  1. Trial
  2. Review
  3. Article
  4. 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

10 authors.

Marije WijnbergeDepartment of Anesthesiology, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.ORCID 0000-0002-4826-609X
Jaap SchuurmansDepartment of Anesthesiology, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.
Rob B P de WildeDepartment of Intensive Care Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Martijn K KerstensDepartment of Anesthesiology, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.
Alexander P VlaarDepartment of Intensive Care, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.
Markus W HollmannDepartment of Anesthesiology, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.
Denise P VeeloDepartment of Anesthesiology, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.
Michael R PinskyDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0001-6166-700X
Jos R C JansenDepartment of Intensive Care Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Bart F GeertsDepartment of Anesthesiology, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.

Funding

Machine learning of physiological variables to predict diagnose and treat cardiorespiratory instabilityR01GM117622 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PINSKY, MICHAEL R · 2016 to 2019
$2.4M
NIGMS NIH HHS R01 GM117622
6 · The paper itself

Abstract

Potentially, mean circulatory filling pressure (Pmcf) could aid hemodynamic management in patients admitted to the intensive care unit (ICU). However, data regarding the normal range for Pmcf do not exist challenging its clinical use. We aimed to define the range for Pmcf for ICU patients and also calculated in what percentage of cases equilibrium between arterial blood pressure (ABP) and central venous pressure (CVP) was reached. In patients in whom no equilibrium was reached, we corrected for arterial-to-venous compliance differences. Finally, we studied the influence of patient characteristics on Pmcf. We hypothesized fluid balance, the use of vasoactive medication, being on mechanical ventilation, and the level of positive end-expiratory pressure would be positively associated with Pmcf. We retrospectively studied a cohort of 311 patients that had cardiac arrest in ICU while having active recording of ABP and CVP 1 min after death. Median Pmcf was 15 mmHg [interquartile range (IQR) 12-18]. ABP and CVP reached an equilibrium state in 52% of the cases. Correction for arterial-to-venous compliances differences resulted in a maximum alteration of 1.3 mmHg in Pmcf. Fluid balance over the last 24 h, the use of vasoactive medication, and being on mechanical ventilation were associated with a higher Pmcf. Median Pmcf was 15 mmHg (IQR 12-18). When ABP remained higher than CVP, correction for arterial-to-venous compliance differences did not result in a clinically relevant alteration of Pmcf. Pmcf was affected by factors known to alter vasomotor tone and effective circulating blood volume.

Indexed as

Blood VolumeHemodynamicsCentral Venous PressureHumansIntensive Care UnitsRetrospective Studiesarterial pressurecritical carehemodynamicsphysiologyvenous pressure

Identifiers

PMID32614685
PMCPMC11961050

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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.