Evidence map›Paper›PMID 31839974›Full record

ArticleCanadian journal of kidney health and disease2019

Heterogeneity of Cause, Care, and Prognosis in Severe Acute Kidney Injury in Hospitalized Patients: A Prospective Observational Study.

Cedric Aglae, Laurent Muller, Pascal Reboul, Sylvain Cariou, Barbar Saber Davide, Remi Trusson, Ziyad Messikh, David-Paul De Brauwere, Jean-Yves Lefrant, Olivier Moranne

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. A Comparative Analysis of Patient Similarity Measures for Outcome Prediction.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  3. Article
  4. ISCCM Guidelines on Acute Kidney Injury and Renal Replacement Therapy.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  5. Range of adiposity and cardiorenal syndrome.World journal of diabetes · 2020
    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

10 authors at 1 institution in 1 country.

Cedric AglaeService Nephrologie-Dialyse-Aphérèse, CHU Carémeau, Université de Montpellier-Nîmes, France.
Laurent MullerService des Réanimation, CHU Carémeau, Université de Montpellier-Nîmes, France.
Pascal ReboulService Nephrologie-Dialyse-Aphérèse, CHU Carémeau, Université de Montpellier-Nîmes, France.
Sylvain CariouService Nephrologie-Dialyse-Aphérèse, CHU Carémeau, Université de Montpellier-Nîmes, France.
Barbar Saber DavideService des Réanimation, CHU Carémeau, Université de Montpellier-Nîmes, France.
Remi TrussonService des Réanimation, CHU Carémeau, Université de Montpellier-Nîmes, France.
Ziyad MessikhService Nephrologie-Dialyse-Aphérèse, CHU Carémeau, Université de Montpellier-Nîmes, France.
David-Paul De BrauwereService de Biochimie et Biologie Moléculaire, CHU Carémeau, Université de Montpellier-Nîmes, France.
Jean-Yves LefrantService des Réanimation, CHU Carémeau, Université de Montpellier-Nîmes, France.
Olivier MoranneService Nephrologie-Dialyse-Aphérèse, CHU Carémeau, Université de Montpellier-Nîmes, France.ORCID https://orcid.org/0000-0002-3127-1415
Université de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKDIGO (Kidney Disease: Improving Global Outcomes) defines acute kidney injury (AKI) solely by serum creatinine (SCr) and urine output variation. Severe AKI is a syndrome covering various clinical situations.

objectiveTo describe severe AKI heterogeneity by department of hospitalization.

designThis is a prospective observational single-center study.

settingAdult patients hospitalized in a French tertiary hospital from August 2016 to December 2017. PATIENTS: All adults with severe AKI, defined by dialysis for AKI or an increase in SCr above 354 μmol/L. MEASUREMENTS: Patient characteristics, clinical and laboratory presentation, AKI cause, medical indication for renal replacement therapy (RRT), planned palliative care, and vital status 30 days after severe AKI.

methodsA global description of patient characteristics, care, and prognosis and comparison by department of hospitalization: intensive care unit (ICU), nephrology, and others.

resultsThe study included 480 patients (73% men, median age: 72 years, range: 64-83), with medical histories including cardiovascular disease, diabetes, cancer, and chronic kidney disease. Principal causes were sepsis (104; 22%), hypovolemia (98; 20%), obstructive AKI (84; 18%), acute tubular necrosis (ATN; 74; 15%), and cardiorenal syndrome (51; 11%). Severe AKI was diagnosed in the ICU for 188 (39%) patients, the nephrology department for 130 (27%), and in other wards for 162 (34%). Patient characteristics differed by department for age, comorbidity, cause, and RRT use and indications. Palliative care was planned for 72 (15%) patients, most frequently in other wards. LIMITATIONS: We studied a subgroup of stage 3 KDIGO AKI patients in a single center without cardiac surgery.

conclusionPatients hospitalized for severe AKI have frequent and various comorbidities, different clinical presentations, care, hospitalization in various departments, and different prognosis. The heterogeneity of this severe AKI implies the need for personalized care, which requires prognostic tools that include information besides SCr and diuresis.

Indexed as

AKIcareclinical epidemiologydialysisprognosisrenal replacement therapy

Identifiers

PMID31839974
PMCPMC6896136
OpenAlexW2993066120

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.