Evidence map›Paper›PMID 36643941›Full record

ArticleCanadian journal of kidney health and disease2023

Risk Factors of AKI in Acute Respiratory Distress Syndrome: A Time-Dependent Competing Risk Analysis on Severe COVID-19 Patients.

Antoine Marchiset, Valerie Serazin, Omar Ben Hadj Salem, Claire Pichereau, Lionel Lima Da Silva, Siu-Ming Au, Christophe Barbier, Yann Loubieres, Jan Hayon, Julia Gross and 2 more

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

12 authors at 2 institutions in 1 country.

Antoine MarchisetMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.ORCID https://orcid.org/0000-0001-5929-9228
Valerie SerazinLaboratoire de biologie, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Omar Ben Hadj SalemMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Claire PichereauMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Lionel Lima Da SilvaMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Siu-Ming AuMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Christophe BarbierMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Yann LoubieresMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Jan HayonMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Julia GrossMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Herve OutinMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Matthieu JammeMédecine intensive - Réanimation, Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France.
Centre Hospitalier Intercommunal de Poissy · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute kidney injury (AKI) is frequently observed in patients with COVID-19 admitted to intensive care units (ICUs). Observational studies suggest that cardiovascular comorbidities and mechanical ventilation (MV) are the most important risk factors for AKI. However, no studies have investigated the renal impact of longitudinal covariates such as drug treatments, biological variations, and/or MV parameters. Methods: We performed a monocentric, prospective, longitudinal analysis to identify the dynamic risk factors for AKI in ICU patients with severe COVID-19. Results: Seventy-seven patients were included in our study (median age: 63 [interquartile range, IQR: 53-73] years; 58 (75%) men). Acute kidney injury was detected in 28 (36.3%) patients and occurred at a median time of 3 [IQR: 2-6] days after ICU admission. Multivariate Cox cause-specific time-dependent analysis identified a history of hypertension (cause-specific hazard (CSH) = 2.46 [95% confidence interval, CI: 1.04-5.84]; Conclusion: Acute kidney injury is frequent in patients with severe COVID-19 and is associated with a history of hypertension, the presence of hemodynamic failure, and increased Pco

Indexed as

acute kidney injuryacute respiratory distress syndromeCOVID-19time-dependent survival analysis

Identifiers

PMID36643941
PMCPMC9834615
OpenAlexW4313907514

What OpenQuestion holds

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LicenceCC BY-NC
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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.