Evidence map›Paper›PMID 38512544›Full record

ArticleIntensive care medicine experimental2024

Determinants of acute kidney injury during high-power mechanical ventilation: secondary analysis from experimental data.

Simone Gattarello, Fabio Lombardo, Federica Romitti, Rosanna D'Albo, Mara Velati, Isabella Fratti, Tommaso Pozzi, Rosmery Nicolardi, Antonio Fioccola, Mattia Busana and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06638255 (Effects of High Positive End-expiratory Pressure Over Abdominal Venous Congestion, Visceral Edema, and Organ Dysfunction, in Mechanically Ventilated ARDS Patients), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.9field-weighted citation impact, top 3% 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.

NCT06638255 nanot yet recruitingnot on this map

Effects of High Positive End-expiratory Pressure Over Abdominal Venous Congestion, Visceral Edema, and Organ Dysfunction, in Mechanically Ventilated ARDS Patients: a Randomized Cross-over Study

TypeinterventionalSponsorPontificia Universidad Catolica de ChileRan2024 to 2026Enrolled40ConditionsARDS, Acute Kidney InjuryArmsSequence A involves administering Low PEEP for 12 hours, followed by High PEEP for 12 hours., Sequence B involves setting High PEEP for 12 hours, followed by Low PEEP for 12 hours.
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  4. Observational
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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

18 authors at 5 institutions in 3 countries.

Simone GattarelloDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany. gattarello@gmail.com.ORCID http://orcid.org/0000-0002-5047-9246
Fabio LombardoDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Federica RomittiDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Rosanna D'AlboDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Mara VelatiDepartment of Anesthesia and Intensive Care Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Isabella FrattiDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Tommaso PozziDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Rosmery NicolardiDepartment of Anesthesia and Intensive Care Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Antonio FioccolaDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Mattia BusanaDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Francesca CollinoDepartment of Anesthesia, Intensive Care and Emergency, "Città Della Salute E Della Scienza" Hospital, Turin, Italy.
Peter HerrmannDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Luigi CamporotaDepartment of Adult Critical Care, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Michael QuintelDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Onnen MoererDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Leif SaagerDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Konrad MeissnerDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Luciano GattinoniDepartment of Anesthesiology, University Medical Centre Göttingen, Göttingen, Germany.
Vita-Salute San Raffaele University · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITDeggendorf Institute of Technology · DEGuy's and St Thomas' NHS Foundation Trust · GBUniversitätsmedizin Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe individual components of mechanical ventilation may have distinct effects on kidney perfusion and on the risk of developing acute kidney injury; we aimed to explore ventilatory predictors of acute kidney failure and the hemodynamic changes consequent to experimental high-power mechanical ventilation.

methodsSecondary analysis of two animal studies focused on the outcomes of different mechanical power settings, including 78 pigs mechanically ventilated with high mechanical power for 48 h. The animals were categorized in four groups in accordance with the RIFLE criteria for acute kidney injury (AKI), using the end-experimental creatinine: (1) NO AKI: no increase in creatinine; (2) RIFLE 1-Risk: increase of creatinine of > 50%; (3) RIFLE 2-Injury: two-fold increase of creatinine; (4) RIFLE 3-Failure: three-fold increase of creatinine;

resultsThe main ventilatory parameter associated with AKI was the positive end-expiratory pressure (PEEP) component of mechanical power. At 30 min from the initiation of high mechanical power ventilation, the heart rate and the pulmonary artery pressure progressively increased from group NO AKI to group RIFLE 3. At 48 h, the hemodynamic variables associated with AKI were the heart rate, cardiac output, mean perfusion pressure (the difference between mean arterial and central venous pressures) and central venous pressure. Linear regression and receiving operator characteristic analyses showed that PEEP-induced changes in mean perfusion pressure (mainly due to an increase in CVP) had the strongest association with AKI.

conclusionsIn an experimental setting of ventilation with high mechanical power, higher PEEP had the strongest association with AKI. The most likely physiological determinant of AKI was an increase of pleural pressure and CVP with reduced mean perfusion pressure. These changes resulted from PEEP per se and from increase in fluid administration to compensate for hemodynamic impairment consequent to high PEEP.

Indexed as

Acute kidney failureAcute kidney injuryCentral venous pressureMean arterial pressureMean perfusion pressureMechanical powerMechanical ventilation

Identifiers

PMID38512544
PMCPMC10957825
OpenAlexW4393037383

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.