Evidence map›Paper›PMID 41827474›Full record

ReviewJournal of clinical medicine2026

Beyond One-Size-Fits-All: Precision Mechanical Ventilation in ARDS.

Saif Azzam, Karis Khattab, Sarah Al Sharie, Lou'i Al-Husinat, Pedro L Silva, Denise Battaglini, Marcus J Schultz, Patricia R M Rocco

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2026. 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. Ventilator-Induced Lung Liquid and Alveolar Rupture.Journal of clinical medicine · 2026
    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

8 authors.

Saif AzzamFaculty of Medicine, Yarmouk University, Irbid 21163, Jordan.ORCID 0009-0006-6849-9540
Karis KhattabFaculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan.ORCID 0009-0004-3676-3584
Sarah Al SharieLaboratory of Science and Translation in Critical Illness, Vanderbilt University Medical Center, Nashville, TN 37232, USA.ORCID 0000-0002-8004-0963
Lou'i Al-HusinatDepartment of General Surgery and Anesthesia, Faculty of Medicine, Yarmouk University, Irbid 21163, Jordan.ORCID 0000-0001-8945-8330
Pedro L SilvaLaboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro 21941-971, Brazil.
Denise BattagliniDepartment of Surgical Sciences and Integrated Diagnostics, University of Genoa, 16132 Genoa, Italy.ORCID 0000-0002-6895-6442
Marcus J SchultzDepartment of Anaesthesia, General Intensive Care and Pain Management, Division of Cardiothoracic and Vascular Anaesthesia & Critical Care Medicine, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-3969-7792
Patricia R M RoccoLaboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro 21941-971, Brazil.ORCID 0000-0003-1412-7136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute respiratory distress syndrome (ARDS) has traditionally been managed with population-based, protocolized mechanical ventilation strategies designed to limit ventilator-induced lung injury. While these approaches have improved outcomes, they fail to account for the pronounced biological, mechanical, radiological, and temporal heterogeneity that characterizes ARDS. Accumulating evidence shows that patients differ markedly in functional lung size, recruitability, chest wall mechanics, inflammatory burden, and tolerance to ventilatory stress, making uniform ventilatory targets physiologically imprecise and, at times, harmful. This narrative review examines the evolution from conventional lung-protective ventilation toward a precision-based paradigm that aligns ventilatory support with individual patient physiology. We conceptualize ARDS not as a static syndrome but as a dynamic spectrum, viewing the injured lung as a heterogeneous mechanical system susceptible to regionally amplified stress and strain. Within this framework, we discuss key principles underlying precision ventilation, including functional lung size (the "baby lung"), driving pressure, mechanical power, patient-ventilator interaction, spontaneous breathing-associated injury, and the time-dependent evolution of lung mechanics. We synthesize current evidence supporting mechanical, biological, and radiological subphenotyping as complementary strategies to individualize ventilatory management, while critically appraising their current limitations. This review also evaluates bedside tools that may operationalize precision ventilation in clinical practice, including esophageal pressure monitoring, lung ultrasound, and electrical impedance tomography, and examines the role of artificial intelligence as a clinician-directed decision-support aid rather than a prescriptive substitute for physiological reasoning. Implications for clinical trial design, ethical considerations, and future directions toward predictive and adaptive ventilation strategies are also addressed. Precision mechanical ventilation represents a shift from rigid thresholds toward proportional, physiology-guided intervention across the disease trajectory. By integrating evolving lung mechanics, ventilatory load, and patient effort over time, this approach provides a coherent framework for safer and more effective mechanical ventilation in ARDS while preserving the core principles of lung protection.

Indexed as

acute respiratory distress syndromeartificial intelligencedriving pressureelectrical impedance tomographyesophageal pressure monitoringmechanical powerprecision mechanical ventilationventilator-induced lung injury

Identifiers

PMID41827474
PMCPMC12986148

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.