Evidence map›Paper›PMID 38262964›Full record

Observational studyBMC nephrology2024

Multiple blood gas variables predict AKI survival in an independent manner.

Rebecca Lehmann, Oliver Ritter, Johanna Tennigkeit, Susann Patschan, Daniel Patschan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Rebecca LehmannDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Care Medicine Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), Hochstraße 29, 14770, Brandenburg an der Havel, Germany.
Oliver RitterDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Care Medicine Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), Hochstraße 29, 14770, Brandenburg an der Havel, Germany.
Johanna TennigkeitDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Care Medicine Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), Hochstraße 29, 14770, Brandenburg an der Havel, Germany.
Susann PatschanDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Care Medicine Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), Hochstraße 29, 14770, Brandenburg an der Havel, Germany.
Daniel PatschanDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Care Medicine Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), Hochstraße 29, 14770, Brandenburg an der Havel, Germany. d.patschan@klinikum-brandenburg.de.
Klinikum Brandenburg · DEBrandenburg University of Technology Cottbus-Senftenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimAcute kidney injury (AKI) is becoming increasingly prevalent among hospitalized patients and carries a poor prognosis. While new biomarkers show promise in identifying early stages of AKI, accurately predicting severe outcomes such as the need for kidney replacement therapy (KRT) or death remains a challenge. However, blood gas analyses (BGA) can be used to diagnose life-threatening complications associated with AKI. The objective of this study was to assess the role of BGA as a biomarker panel in both emerging and established cases of AKI.

methodsRetrospective observational study examining subjects with newly developed acute kidney injury (AKI). The study will document venous and arterial pH, pCO2, and actual bicarbonate levels upon hospital admission and at the onset of AKI. The primary endpoints include in-hospital mortality, the need for kidney replacement therapy (KRT), and the recovery of kidney function (ROKF).

resultsA total of 202 individuals were included in the study. Three variables were found to be independent predictors of in-hospital survival: admission arterial pH, arterial pH at acute kidney injury (AKI) onset, and arterial pCO2 at AKI onset. Additionally, venous pCO2 at AKI onset was identified as an independent predictor for the need of kidney replacement therapy (KRT).

conclusionsOur study suggests that blood gas analysis may have a potential role in predicting severe outcome variables in acute kidney injury (AKI). The associated costs are minimal.

Indexed as

Acute Kidney InjuryBlood Gas AnalysisHospitalizationHospital MortalityHumansKidneyActual bicarbonateAKIBGADialysispCO2pHRecovery of kidney functionSurvival

Identifiers

PMID38262964
PMCPMC10804712
OpenAlexW4391136765

What OpenQuestion holds

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LicenceCC BY
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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.