Evidence map›Paper›PMID 36001593›Full record

ArticlePloS one2022

Association between proteinuria trajectories and outcomes in critically ill patients with sepsis or shock.

Raphael Monge, Charlotte Oris, Matthieu Jabaudon, Marina Braïlova, Emmanuel Futier, Vincent Sapin, Bruno Pereira, Alexandre Lautrette

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Raphael MongeDepartment of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Charlotte OrisDepartment of Medical Biochemistry and Molecular Genetics, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Matthieu JabaudonDepartment of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France.ORCID 0000-0002-8121-1680
Marina BraïlovaDepartment of Medical Biochemistry and Molecular Genetics, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Emmanuel FutierDepartment of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Vincent SapinDepartment of Medical Biochemistry and Molecular Genetics, CHU Clermont-Ferrand, Clermont-Ferrand, France.ORCID 0000-0002-7452-315X
Bruno PereiraBiostatistics Unit, Department of Clinical Research and Innovation (DRCI), CHU Clermont-Ferrand, Clermont-Ferrand, France.ORCID 0000-0003-3778-7161
Alexandre LautretteDepartment of Intensive Care Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France.ORCID 0000-0003-4545-7461
Centre National de la Recherche Scientifique · FRCentre Hospitalier Universitaire de Clermont-Ferrand · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProteinuria results from kidney damage and can be a predictor of illness severity and mortality in the intensive care unit (ICU). However, the optimal timing of proteinuria measurements and the reference values remain undetermined. Our objective was to identify the patterns of proteinuria change associated with mortality in ICU patients with sepsis or shock.

methodsThis monocentric retrospective cohort study performed from April 2010 to April 2018 involved all ICU patients with sepsis or shock and at least two measurements of proteinuria from a 24h-urine collection during the first 10 days of ICU stay, the first of which was made within 48h after ICU admission. We identified proteinuria trajectories by a semi-parametric mixture model and analysed the association between the trajectories and the mortality at day 28 by Cox proportional-hazards model.

resultsA total of 3,344 measurements of proteinuria from 659 patients were analysed. Four proteinuria trajectories were identified. Trajectories 1, 2, 3 and 4 comprised 127, 421, 60 and 51 patients, and were characterized by a first proteinuria of 1.14 [0.66-1.55], 0.52 [0.26-0.91], 2.92 [2.38-3.84] and 2.58 [1.75-3.32] g/24h (p<0.001) and a mortality of 24.4%, 38%, 20% and 43% (p = 0.002), respectively. Trajectories 3 and 4 had a high first proteinuria (>2g/24h). Only, the proteinuria of trajectory 4 increased within 3 days following the first measurement and was associated with increased mortality at day 28 (hazard ratio: 2.36 95%CI [1.07-5.19], p = 0.03), regardless of acute renal failure. The factors associated with trajectory 4 were cancer (relative risk: 8.91 95%CI [2.09-38.02], p = 0.003) and use of inotropic drugs (relative risk: 0.17 95%CI [0.04-0.69], p = 0.01).

conclusionThis exploratory study of ICU patients with sepsis or shock identified four proteinuria trajectories with distinct patterns of proteinuria change over time and mortality rates. These results provide novel insights into renal pathophysiology and may be helpful to investigate subphenotypes of kidney injury among ICU patients in future studies.

Indexed as

SepsisShockCritical IllnessHospital MortalityHumansIntensive Care UnitsProteinuriaRetrospective Studies

Identifiers

PMID36001593
PMCPMC9401181
OpenAlexW4293105584

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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.