Evidence map›Paper›PMID 40369637›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2025

Acidosis as a promising early indicator of mortality among point-of-care parameters and vital signs in non-traumatic critically ill patients.

Asen S Georgiev, Tim Filla, Janina Dziegielewski, Katharina Bandmann, Peter Kienbaum, Jörg Distler, Lennert Böhm, Michael Bernhard, Mark Michael

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2025. 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
–field-weighted citation impact
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.

  1. Extreme acidosis in hospitalised patients: A 10-year single-centre, retrospective analysis.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
    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

9 authors.

Asen S GeorgievEmergency Department, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.
Tim FillaDepartment of Rheumatology, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.
Janina DziegielewskiEmergency Department, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.
Katharina BandmannEmergency Department, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.
Peter KienbaumDepartment of Anesthesiology, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.
Jörg DistlerDepartment of Rheumatology, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.
Lennert BöhmEmergency Department, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.
Michael BernhardEmergency Department, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany. Michael.Bernhard@med.uni-duesseldorf.de.
Mark MichaelEmergency Department, University Hospital, Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe management of critically ill patients, arriving at the emergency department (ED), requires structured care in critical care facilities, particularly in the resuscitation room. This study examines the significance of initial vital signs and blood gas analysis (BGA)-derived values as clinically useful early indicators of mortality risk in critically ill patients, both during in the resuscitation room care and within the following 30 days, with a focus on evaluating the individual predictive performance of accessible clinical parameters.

methodsWe pooled data from two consecutive retrospective observational studies in a German university ED to analyze an unselected patient population of non-traumatic critically ill patients. Vital signs, such as heart rate, systolic blood pressure, and BGA values (including pH, bicarbonate, carbon dioxide, glucose, lactate, electrolyte levels) on admission to the ED, were used to estimate the impact on both resuscitation room and 30-day mortality.

resultsIn 1,536 critically ill patients, pH, lactate and bicarbonate were found to be potential predictors of resuscitation room mortality. In contrast, vital signs showed limited reliability in predicting outcomes. Of all tested variables, pH demonstrated the highest area under the curve (AUC) value among the analyzed markers for resuscitation room mortality (AUC 0.81 [95% CI 0.75-0.87]). However, the AUC of pH for 30-day mortality decreased to 0.64 ([0.6 - 0.68], indicating a complex interplay of factors influencing long-term outcome. A subgroup analysis based on pH showed a substantial increase in resuscitation room and 30-day mortality for patients with a pH below 7.2 as well as a second increase below 7.0.

conclusionOur study highlights important parameters for the assessment of critically ill patients at ED admission that are helpful for formulating immediate medical decisions. Acidosis on the initial BGA appears to be a relevant prognostic marker for mortality in critically ill, non-traumatic patients and may aid in early risk assessment, regardless of the underlying condition. Early detection of acidosis could facilitate rapid decision-making and timely identification of patients requiring intensive care.

Indexed as

AcidosisCritical IllnessPoint-of-Care SystemsVital SignsAdultAgedBlood Gas AnalysisEmergency Service, HospitalFemaleGermanyHospital MortalityHumansMaleMiddle AgedRetrospective StudiesAcidemiaBlood gas analysisEmergency careOutcomepH value

Identifiers

PMID40369637
PMCPMC12080171

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.