Evidence map›Paper›PMID 33845445›Full record

ArticleJournal of critical care2021

Cardio-pulmonary-renal interactions in ICU patients. Role of mechanical ventilation, venous congestion and perfusion deficit on worsening of renal function: Insights from the MIMIC-III database.

Guillaume Geri, Loic Ferrer, Nam Tran, Leo A Celi, Matthieu Jamme, Joon Lee, Antoine Vieillard-Baron

Open access · greenAbstract read
In one paragraph

Article in Journal of critical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  12. Frontiers in nephrology · 2022
    Review
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  14. Haemodynamic predisposition to acute kidney injury: Shadow and light!Journal of anaesthesiology, clinical pharmacology
    Review
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

7 authors at 7 institutions in 3 countries.

Guillaume GeriMedical Intensive Care Unit, APHP, Ambroise Paré Hospital, Boulogne-Billancourt, France; Versailles Saint Quentin University, France; INSERM UMR 1018, Team 5 Kidney-Heart, Centre de recherche en Epidémiologie et Santé des Populations, Villejuif, France; FHU SEPSIS (Saclay and Paris Seine Nord Endeavour to PerSonalize Interventions for Sepsis), France. Electronic address: guillaume.geri@aphp.fr.
Loic FerrerInstitut Curie, U900, René Huguenin Hospital, Saint Cloud, France.
Nam TranSchool of Public Health & Health Systems, University of Waterloo, Canada.
Leo A CeliInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Matthieu JammeVersailles Saint Quentin University, France; INSERM UMR 1018, Team 5 Kidney-Heart, Centre de recherche en Epidémiologie et Santé des Populations, Villejuif, France; Intensive Care Unit, Poissy Saint Germain Hospital, Poissy, France.
Joon LeeData Intelligence for Health Lab, Departments of Community Health Sciences & Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Antoine Vieillard-BaronMedical Intensive Care Unit, APHP, Ambroise Paré Hospital, Boulogne-Billancourt, France; Versailles Saint Quentin University, France; INSERM UMR 1018, Team 5 Kidney-Heart, Centre de recherche en Epidémiologie et Santé des Populations, Villejuif, France; FHU SEPSIS (Saclay and Paris Seine Nord Endeavour to PerSonalize Interventions for Sepsis), France.
Centre de recherche en Epidémiologie et Santé des Populations · FRHôpital Ambroise-Paré · FRHôpital René Huguenin · FRMassachusetts Institute of Technology · USUniversité de Versailles Saint-Quentin-en-Yvelines · FRUniversity of Calgary · CAUniversity of Waterloo · CA

Funding

Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB017205
6 · The paper itself

Abstract

Background Mechanical ventilation (MV) in ICU patients may impact hemodynamics and renal function. We aimed to describe the interactions of MV settings, hemodynamic parameters and worsening of renal function (WRF). Methods We included adult patients admitted for the first time in the ICU from the MIMIC-III database. Mean arterial blood pressure (mABP), central venous pressure (CVP) and positive end-expiratory pressure (PEEP) were collected and summarized as a time-weighted mean. The main outcome was WRF defined as acute kidney injury (AKI) occurrence or one-KDIGO stage worsening compared to the KDIGO stage the day before. We used a multinomial logistic regression at day 1 (ldmk-1) and day 2 (ldmk-2) according to a landmark-approach, with a two-days sliding perspective. Results 27,248/61,051 patients met the inclusion criteria (15,258 male (56.0%); 60.1% over 60 y). ICU and hospital mortality were 7.4 and 10.7%, respectively. MV was independently associated with WRF in the ldmrk-1 and -2 models (relative risk ratio [RRR] 8.15 [6.58;10.11] and 7.08 [3.97;12.61] at day-3 and 4, respectively). In MV patients, PEEP was associated with WRF in the ldmrk-1 and -2 models (RRR 1.36 [1.16, 1.6] and 1.17 [0.88, 1.56] by 1 cmH

Indexed as

HyperemiaRespiration, ArtificialHumansIntensive Care UnitsKidneyMalePerfusionAcute kidney injuryMechanical ventilationPositive end-expiratory pressureVentilation induced kidney injury

Identifiers

PMID33845445
PMCPMC9225831
OpenAlexW3143290342

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.