Evidence map›Paper›PMID 30992054›Full record

ArticleCritical care (London, England)2019

Heterogeneity of regional inflection points from pressure-volume curves assessed by electrical impedance tomography.

Gaetano Scaramuzzo, Savino Spadaro, Andreas D Waldmann, Stephan H Böhm, Riccardo Ragazzi, Elisabetta Marangoni, Valentina Alvisi, Elena Spinelli, Tommaso Mauri, Carlo Alberto Volta

Registry-linked trialAbstract read
In one paragraph

Article in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02907840 (Prediction of Response to Recruitment Maneuvers in Patients With Acute Respiratory Failure), which is not on this map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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.

NCT02907840 nacompletednot on this map

Prediction of Response to Recruitment Maneuvers in Patients With Acute Respiratory Failure

TypeinterventionalSponsorUniversità degli Studi di FerraraRan2016 to 2017Enrolled14ConditionsAcute Respiratory FailureArmsSwisstom BB2
3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  14. Functional Phenotyping: A New Role for Electrical Impedance Tomography.American journal of respiratory and critical care medicine · 2024
    Article
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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

10 authors.

Gaetano ScaramuzzoDepartment of Morphology, Surgery and Experimental Medicine, Intensive Care Unit, University of Ferrara, Azienda Ospedaliera - Universitaria Sant'Anna Hospital, Via Aldo Moro, Ferrara, Italy.
Savino SpadaroDepartment of Morphology, Surgery and Experimental Medicine, Intensive Care Unit, University of Ferrara, Azienda Ospedaliera - Universitaria Sant'Anna Hospital, Via Aldo Moro, Ferrara, Italy. savinospadaro@gmail.com.ORCID 0000-0001-5027-5318
Andreas D WaldmannDepartment of Anesthesiology and Intensive Care Medicine, Rostock University Medical Center, Rostock, Germany.
Stephan H BöhmDepartment of Anesthesiology and Intensive Care Medicine, Rostock University Medical Center, Rostock, Germany.
Riccardo RagazziDepartment of Morphology, Surgery and Experimental Medicine, Intensive Care Unit, University of Ferrara, Azienda Ospedaliera - Universitaria Sant'Anna Hospital, Via Aldo Moro, Ferrara, Italy.
Elisabetta MarangoniDepartment of Morphology, Surgery and Experimental Medicine, Intensive Care Unit, University of Ferrara, Azienda Ospedaliera - Universitaria Sant'Anna Hospital, Via Aldo Moro, Ferrara, Italy.
Valentina AlvisiDepartment of Morphology, Surgery and Experimental Medicine, Intensive Care Unit, University of Ferrara, Azienda Ospedaliera - Universitaria Sant'Anna Hospital, Via Aldo Moro, Ferrara, Italy.
Elena SpinelliDepartment of Anesthesia, Critical Care and Emergency, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Ca' Granda, University of Milan, Milan, Italy.
Tommaso MauriDepartment of Anesthesia, Critical Care and Emergency, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Ca' Granda, University of Milan, Milan, Italy.
Carlo Alberto VoltaDepartment of Morphology, Surgery and Experimental Medicine, Intensive Care Unit, University of Ferrara, Azienda Ospedaliera - Universitaria Sant'Anna Hospital, Via Aldo Moro, Ferrara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pressure-volume (P-V) curve has been suggested as a bedside tool to set mechanical ventilation; however, it reflects a global behavior of the lung without giving information on the regional mechanical properties. Regional P-V (PVr) curves derived from electrical impedance tomography (EIT) could provide valuable clinical information at bedside, being able to explore the regional mechanics of the lung. In the present study, we hypothesized that regional P-V curves would provide different information from those obtained from global P-V curves, both in terms of upper and lower inflection points. Therefore, we constructed pressure-volume curves for each pixel row from non-dependent to dependent lung regions of patients affected by acute hypoxemic respiratory failure (AHRF) and acute respiratory distress syndrome (ARDS).

methodsWe analyzed slow-inflation P-V maneuvers data from 12 mechanically ventilated patients. During the inflation, the pneumotachograph was used to record flow and airway pressure while the EIT signals were recorded digitally. From each maneuver, global respiratory system P-V curve (PVg) and PVr curves were obtained, each one corresponding to a pixel row within the EIT image. PVg and PVr curves were fitted using a sigmoidal equation, and the upper (UIP) and lower (LIP) inflection points for each curve were mathematically identified; LIP and UIP from PVg were respectively called LIPg and UIPg. From each measurement, the highest regional LIP (LIPr

resultsA significant difference (p < 0.001) was found between LIPr

conclusionsRegional inflection points derived by EIT show high variability reflecting lung heterogeneity. Regional P-V curves obtained by EIT could convey more sensitive information than global lung mechanics on the pressures within which all lung regions express linear compliance.

trial registrationClinicaltrials.gov, NCT02907840 . Registered on 20 September 2016.

Indexed as

Electric ImpedanceAgedAged, 80 and overFemaleHumansItalyLungLung Volume MeasurementsMaleMonitoring, PhysiologicRespiration, ArtificialRespiratory Distress SyndromeTomographyAcute respiratory failure, acute respiratory distress syndromeElectrical impedance tomographyMechanical ventilationPersonalized medicinePressure-volume curve

Identifiers

PMID30992054
PMCPMC6469223

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Registered trials

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.