Evidence map›Paper›PMID 35052106›Full record

ArticleEntropy (Basel, Switzerland)2022

Monitoring the Evolution of Asynchrony between Mean Arterial Pressure and Mean Cerebral Blood Flow via Cross-Entropy Methods.

Alberto Porta, Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Beatrice De Maria, Cora May Panzetti, Noemi Cornara, Enrico Giuseppe Bertoldo, Valentina Fiolo, Edward Callus and 5 more

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 16 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

15 authors at 3 institutions in 1 country.

Alberto PortaDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-6720-9824
Francesca GelpiDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.
Vlasta BariDepartment of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.ORCID 0000-0002-5346-2677
Beatrice CairoDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0003-3396-6883
Beatrice De MariaIRCCS Istituti Clinici Scientifici Maugeri, 20138 Milan, Italy.ORCID 0000-0001-5360-3137
Cora May PanzettiDepartment of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Noemi CornaraDepartment of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Enrico Giuseppe BertoldoClinical Psychology Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.ORCID 0000-0002-8840-5859
Valentina FioloClinical Psychology Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Edward CallusDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0001-9286-1825
Carlo De VincentiisDepartment of Cardiac Surgery, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Marianna VolpeDepartment of Cardiac Rehabilitation, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Raffaella MolfettaDepartment of Cardiac Rehabilitation, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Valeria PistuddiDepartment of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Marco RanucciDepartment of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
IRCCS Policlinico San Donato · ITUniversity of Milan · ITIstituti Clinici Scientifici Maugeri · IT

Funding

Ministero della Salute RF-2016-02361069
6 · The paper itself

Abstract

Cerebrovascular control is carried out by multiple nonlinear mechanisms imposing a certain degree of coupling between mean arterial pressure (MAP) and mean cerebral blood flow (MCBF). We explored the ability of two nonlinear tools in the information domain, namely cross-approximate entropy (CApEn) and cross-sample entropy (CSampEn), to assess the degree of asynchrony between the spontaneous fluctuations of MAP and MCBF. CApEn and CSampEn were computed as a function of the translation time. The analysis was carried out in 23 subjects undergoing recordings at rest in supine position (REST) and during active standing (STAND), before and after surgical aortic valve replacement (SAVR). We found that at REST the degree of asynchrony raised, and the rate of increase in asynchrony with the translation time decreased after SAVR. These results are likely the consequence of the limited variability of MAP observed after surgery at REST, more than the consequence of a modified cerebrovascular control, given that the observed differences disappeared during STAND. CApEn and CSampEn can be utilized fruitfully in the context of the evaluation of cerebrovascular control via the noninvasive acquisition of the spontaneous MAP and MCBF variability.

Indexed as

active standingautonomic nervous systembeat-to-beat variability analysiscerebral autoregulationcerebrovascular controlcross-approximate entropycross-sample entropystate-space correspondencesurgical aortic valve replacement

Identifiers

PMID35052106
PMCPMC8774596
OpenAlexW4206067863

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.