Evidence map›Paper›PMID 30569444›Full record

ArticleJournal of nephrology2019

Transient and persistent acute kidney injury in acute liver failure.

Silvia Coelho, José Nuno Fonseca, Joana Gameiro, Sofia Jorge, José Velosa, José António Lopes

Registry-linked trialAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05247502 (Impact of the Characteristics of Acute Renal Failure in Intensive Care on the Long-term Renal Prognosis), 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
1.3field-weighted citation impact, top 22% 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.

NCT05247502 recruitingnot on this mapstarted 2022, after this paper: background citation

Impact of the Characteristics of Acute Renal Failure in Intensive Care on the Long-term Renal Prognosis: Prospective Multicenter Cohort Study

TypeobservationalSponsorUniversity Hospital, Clermont-FerrandRan2022 to 2028Enrolled860ConditionsAcute Kidney Injury, Transient Acute Renal Failure, Persistent Acute Renal FailureArmsData observation
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Acute liver failure: A practical update.JHEP reports : innovation in hepatology · 2024
    Review
  4. Article
  5. Review
  6. Observational
  7. Article
  8. The need for disruptive innovation in acute kidney injury.Clinical and experimental nephrology · 2020
    Review
  9. Comparison of Prognostic Models in Acute Liver Failure: Decision is to be Dynamic.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2019
    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

6 authors at 2 institutions in 2 countries.

Silvia CoelhoIntensive Care Department, Hospital Fernando Fonseca, EPE, Amadora, Portugal. silvia.coelho.nephro@gmail.com.ORCID http://orcid.org/0000-0002-8404-9172
José Nuno FonsecaDivision of Nephrology and Renal Transplantation, Department of Medicina, Centro Hospitalar Lisboa Norte, EPE, Lisboa, Portugal.
Joana GameiroDivision of Nephrology and Renal Transplantation, Department of Medicina, Centro Hospitalar Lisboa Norte, EPE, Lisboa, Portugal.
Sofia JorgeDivision of Nephrology and Renal Transplantation, Department of Medicina, Centro Hospitalar Lisboa Norte, EPE, Lisboa, Portugal.
José VelosaGastrenterology and Hepatology Intensive Care Unit, Centro Hospitalar Lisboa Norte, EPE, Lisboa, Portugal.
José António LopesDivision of Nephrology and Renal Transplantation, Department of Medicina, Centro Hospitalar Lisboa Norte, EPE, Lisboa, Portugal.
Centro Hospitalar Lisboa Norte · PTHospital Prof. Dr. Fernando Fonseca · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute Kidney Injury (AKI) is a very frequent complication in the Acute Liver Failure (ALF) population associated with negative outcomes. We aim to evaluate the impact of AKI duration on the outcomes of an ALF population.

methodsA 20-year retrospective analysis of ALF patients admitted to an Intensive Care Unit (ICU) was performed. Chronic liver failure, chronic kidney disease on renal replacement therapy, dialysis requirement within the week prior or an ICU stay of less than 48 h after AKI diagnosis, were exclusion criteria. AKI was defined according to the KDIGO criteria and classified into transient (< 48 h duration) or persistent (48 h duration).

resultsA total of 51 patients were included in the analysis and most had AKI (66.7%). Persistent AKI patients (70.6%) presented more frequently with AKI at admission and a higher SOFA score than transient AKI and no AKI, p < 0.05. More severe AKI, sepsis, vasopressor support and mechanical ventilation were also more common (p < 0.05). Nineteen (55.9%) were classified as persistent AKI exclusively by serum creatinine and 15 (44.1%) by both serum creatinine and urine output criteria. Mean survival time at 30 days was 11.3 days for persistent AKI, 25.3 days for transient AKI and 27.0 days for no AKI, p = 0.01. Adjusted multivariate cox regression analysis showed that persistent AKI predicted in-hospital mortality but it lost significance when AKI severity was introduced in the model.

conclusionPersistent AKI was common in ALF patients and associated with more severe AKI, worst systemic complications and a higher 30-day mortality, compared to transient and no AKI patients.

Indexed as

Acute Kidney InjuryAdultFemaleHospital MortalityHumansLiver Failure, AcuteMaleMiddle AgedPortugalPrognosisRenal DialysisRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexTime FactorsAcute kidney injuryAcute liver failurePersistent AKITransient AKI

Identifiers

PMID30569444
OpenAlexW2905362306

What OpenQuestion holds

Textmetadata
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.