Evidence map›Paper›PMID 41866868›Full record

Trial reportPhysiological reports2026

Predicting mortality with machine learning & biomarkers: A cohort analysis from aerosolized β₂-agonist for treatment of acute lung injury (ALTA) trial.

Aaron M Chase, Sultan Almuntashiri, Duo Zhang, Timothy W Jones, Xianyan Chen, Payaningal R Somanath, Kelli Henry, Andrea Sikora

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Physiological reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Aaron M ChaseDepartment of Clinical and Experimental Therapeutics, University of Georgia College of Pharmacy, Augusta, Georgia, USA.ORCID https://orcid.org/0000-0002-5891-4492
Sultan AlmuntashiriDepartment of Pharmacy, University of Hail College of Pharmacy, Ha'il, Saudi Arabia.ORCID https://orcid.org/0000-0003-4353-6043
Duo ZhangDepartment of Clinical and Experimental Therapeutics, University of Georgia College of Pharmacy, Augusta, Georgia, USA.ORCID https://orcid.org/0000-0003-0361-4174
Timothy W JonesDepartment of Clinical and Experimental Therapeutics, University of Georgia College of Pharmacy, Augusta, Georgia, USA.ORCID https://orcid.org/0000-0003-0651-4304
Xianyan ChenDepartment of Statistics, University of Georgia Franklin College of Arts and Sciences, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-1806-0883
Payaningal R SomanathDepartment of Clinical and Experimental Therapeutics, University of Georgia College of Pharmacy, Augusta, Georgia, USA.ORCID https://orcid.org/0000-0003-3017-0230
Kelli HenryDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus School of Medicine, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0002-6686-1079
Andrea SikoraDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus School of Medicine, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0003-2020-0571

Funding

Lincenc1 regulates the lipopolysaccharide-induced inflammatory response in macrophagesR00HL141685 · NHLBI · UNIVERSITY OF GEORGIA · PI ZHANG, DUO · 2020 to 2022
$743k
The Function and Potential Application of Extracellular Vesicle Derived Clara Cell Protein 16 in Gram-negative Bacterial PneumoniaR56HL163607 · NHLBI · UNIVERSITY OF GEORGIA · PI ZHANG, DUO · 2023 to 2023
$501k
HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R00HL141685HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R56HL163607
6 · The paper itself

Abstract

Laboratory-guided methods have the potential to provide robust mortality prediction for acute respiratory distress syndrome (ARDS) which could improve timely intervention. The objective of this investigation was to predict mortality using regression and machine learning techniques using biomarkers linked to ARDS pathophysiology, including matrix metalloproteinase-3 (MMP-3) and club cell-secretory protein-16 (CC16), and general inflammatory biomarkers. 89 adult patients from the "Aerosolized β₂-agonist for treatment of acute lung injury" (ALTA) trial were randomly separated into training (n = 53), validation (n = 8), and test (n = 28) sets. Logistic regression and supervised machine learning (ML) models were developed. In total, 20 ICU predictors including baseline characteristics (age, sex, APACHE III score, sepsis, vasoactive agent, PaO

Indexed as

Acute Lung InjuryAdrenergic beta-2 Receptor AgonistsMachine LearningRespiratory Distress SyndromeAdultBiomarkersBoosting Machine Learning AlgorithmsFemaleHumansMaleMatrix Metalloproteinase 3Predictive Learning ModelsRandom ForestAdrenergic beta-2 Receptor AgonistsBiomarkersMatrix Metalloproteinase 3acute respiratory distress syndromeartificial intelligencebiomarkerscritical caremachine learningmortality

Identifiers

PMID41866868
PMCPMC13098044

What OpenQuestion holds

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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.