Evidence map›Paper›PMID 36992016›Full record

ArticleSensors (Basel, Switzerland)2023

Intraoperative Beat-to-Beat Pulse Transit Time (PTT) Monitoring via Non-Invasive Piezoelectric/Piezocapacitive Peripheral Sensors Can Predict Changes in Invasively Acquired Blood Pressure in High-Risk Surgical Patients.

Michael Nordine, Marius Pille, Jan Kraemer, Christian Berger, Philipp Brandhorst, Philipp Kaeferstein, Roland Kopetsch, Niels Wessel, Ralf Felix Trauzeddel, Sascha Treskatsch

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Michael NordineDepartment of Anesthesiology and Intensive Care Medicine, Hindenburgdamm 30, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 12203 Berlin, Germany.
Marius PilleBerlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Jan KraemerDepartment of Physics, Humboldt University zu Berlin, 10115 Berlin, Germany.
Christian BergerDepartment of Anesthesiology and Intensive Care Medicine, Hindenburgdamm 30, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 12203 Berlin, Germany.ORCID 0000-0002-9087-7732
Philipp BrandhorstDepartment of Anesthesiology and Intensive Care Medicine, Hindenburgdamm 30, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 12203 Berlin, Germany.
Philipp KaefersteinSectorCon-Ingenieurgesellschaft mbH, 10553 Berlin, Germany.
Roland KopetschSectorCon-Ingenieurgesellschaft mbH, 10553 Berlin, Germany.
Niels WesselDepartment of Physics, Humboldt University zu Berlin, 10115 Berlin, Germany.ORCID 0000-0003-0922-9971
Ralf Felix TrauzeddelDepartment of Anesthesiology and Intensive Care Medicine, Hindenburgdamm 30, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 12203 Berlin, Germany.
Sascha TreskatschDepartment of Anesthesiology and Intensive Care Medicine, Hindenburgdamm 30, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 12203 Berlin, Germany.ORCID 0000-0002-0549-7680
Humboldt-Universität zu Berlin · DE

Funding

Zentralen Innovationsprograms Mittelstand 4279701AW6
6 · The paper itself

Abstract

backgroundNon-invasive tracking of beat-to-beat pulse transit time (PTT) via piezoelectric/piezocapacitive sensors (PES/PCS) may expand perioperative hemodynamic monitoring. This study evaluated the ability for PTT via PES/PCS to correlate with systolic, diastolic, and mean invasive blood pressure (SBP

methodsPES/PCS and IBP measurements were performed in 20 patients undergoing abdominal, urological, and cardiac surgery. A Pearson's correlation analysis (r) between 1/PTT and IBP was performed. The predictive ability of 1/PTT with changes in SBP

resultsSignificant correlations between 1/PTT and SBP

conclusionsNon-invasive beat-to-beat PTT via PES/PCS demonstrated significant correlations with IBP and detected significant changes in SBP

Indexed as

Arterial PressureMonitoring, IntraoperativeBlood PressureBlood Pressure DeterminationHumansPulse Wave Analysisanesthesiologyintraoperative blood pressurenon-invasive hemodynamicspiezocapacitivepiezoelectricpulse transit time

Identifiers

PMID36992016
PMCPMC10059272
OpenAlexW4328121494

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.