Evidence map›Paper›PMID 39875856›Full record

ArticleBMC medicine2025

Using a clinical decision support system to reduce excess driving pressure: the ALARM trial.

Ursula Burger-Klepp, Mathias Maleczek, Robin Ristl, Bettina Kroyer, Marcus Raudner, Claus G Krenn, Roman Ullrich

Abstract read
In one paragraph

Article in BMC medicine, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Ursula Burger-Klepp *Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.
Mathias Maleczek *Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria. mathias.maleczek@meduniwien.ac.at.
Robin RistlCenter for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Bettina KroyerCenter for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Marcus RaudnerDepartment of Radiology, Medical University of Vienna, Vienna, Austria.
Claus G KrennDepartment of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.
Roman UllrichDepartment of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients at need for ventilation often are at risk of acute respiratory distress syndrome (ARDS). Although lung-protective ventilation strategies, including low driving pressure settings, are well known to improve outcomes, clinical practice often diverges from these strategies. A clinical decision support (CDS) system can improve adherence to current guidelines; moreover, the potential of a CDS to enhance adherence can possibly be further increased by combination with a nudge type intervention.

methodsA prospective cohort trial was conducted in patients at risk of ARDS admitted to an intensive care unit (ICU). Patients were assigned to control or intervention by their date of admission: First, the control group was included without changing anything in clinical practice. Next, the CDS was activated showing an alert in the patient data management system if driving pressure exceeded recommended values; additionally, data on the performance of the wards were sent to the healthcare professionals as the nudge intervention. The main hypothesis was that this combined intervention would lead to a significant decrease in excess driving pressure.

resultsThe 472 included patients (230 in the control group and 242 in the intervention group) consisted of 33% females. The median age was 64 years; median Sequential Organ Failure Assessment score was 8. There was a significant reduction in excess driving pressure in the augmented ventilation modes (0.28 ± 0.67 mbar vs. 0.14 ± 0.45 mbar, p = 0.012) but not the controlled mode (0.37 ± 0.83 mbar vs. 0.32 ± 0.8 mbar, p = 0.53). However, there was no significant difference between groups in mechanical power, the number of ventilator-free days, or the percentage of patients showing progression to ARDS. Although there was no difference in progression to ARDS, 28-day mortality was higher in the intervention group. Notably, the mean overall driving pressure across both groups was low (12.02 mbar ± 2.77).

conclusionsIn a population at risk of ARDS, a combined intervention of a clinical decision support system and a nudge intervention was shown to reduce the excessive driving pressure above 15 mbar in augmented but not in controlled modes of ventilation.

Indexed as

Decision Support Systems, ClinicalRespiration, ArtificialRespiratory Distress SyndromeAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesCritical careDecision support toolDriving pressureVentilation

Identifiers

PMID39875856
PMCPMC11776331

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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.