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Record W4414053742 · doi:10.71000/v9c1jh66

COMPARISON OF CHANGE IN LUNG COMPLIANCE ON PRESSURE CONTROL AND AIRWAY PRESSURE RELEASE VENTILATION – A RANDOMIZED CROSS-OVER TRIAL

2025· article· en· W4414053742 on OpenAlexaff
Iqra Abid, Imran Riasat, Surraya Shams, Omar Abousaad, Mike Sowa, Hamza Irfan, Syed Farjad Sultan

Bibliographic record

VenueInsights-Journal of Health and Rehabilitation · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsAlberta Health
Fundersnot available
KeywordsVentilation (architecture)Mechanical ventilationPulmonary complianceContinuous positive airway pressureMean airway pressureAirwayOxygenationIntensive careRandomized controlled trial

Abstract

fetched live from OpenAlex

Background: Mechanical ventilation is a critical intervention in intensive care units, particularly for patients with impaired lung compliance. Optimizing ventilation requires careful adjustment of modes to preserve alveolar integrity, improve oxygenation, and minimize ventilator-associated injury. Airway Pressure Release Ventilation (APRV) and Pressure Control Ventilation (PCV) are widely used pressure-based strategies, yet their effects on lung compliance and oxygenation remain debated. Comparative evidence is limited, especially in crossover designs allowing within-patient evaluation of these modes. Objective: The study aimed to assess changes in lung compliance and oxygenation indices following mechanical ventilation with APRV and PCV, using a randomized cross-over design. Methods: This randomized cross-over trial was conducted in the Department of Anaesthesiology, Surgical ICU, Dr. Ruth K.M. Pfau Civil Hospital Karachi, Pakistan, from May to December 2021. A total of 70 patients aged 18–85 years requiring mechanical ventilation for >6 hours were included. Ventilation was initiated with Assist-Control Volume Control (AC-VC) mode for baseline measurements, followed by randomization to APRV or PCV in Phase I and cross-over to the alternate mode in Phase II. Data collected included dynamic lung compliance, oxygen index (OI), arterial blood gases, peak inspiratory pressure (PIP), mean airway pressure (MAP), and airway resistance. Results: Baseline compliance in AC-VC mode was 45.5 mL/cmH₂O/kg (IQR: 32.8–64.2). In Phase I, compliance was significantly higher with APRV at 89.6 mL/cmH₂O/kg (IQR: 62.4–124.7) compared to PCV at 48.2 mL/cmH₂O/kg (IQR: 34.6–68.9). In Phase II, APRV maintained higher compliance at 76.4 mL/cmH₂O/kg (IQR: 55.2–108.6) compared with PCV at 68.3 mL/cmH₂O/kg (IQR: 49.5–92.1). Correlation analysis showed APRV weakly positive in Phase I (r = 0.173, p = 0.322) and Phase II (r = 0.261, p = 0.131), while PCV was moderately negative in Phase I (r = -0.311, p = 0.069) and very weakly negative in Phase II (r = -0.065, p = 0.712). Regression revealed a significant negative association for PCV in Phase I (B = -1.998, p = 0.025). Oxygen index analysis indicated significant improvements with both modes in Phase I, but only APRV sustained improvement in Phase II. Conclusion: APRV demonstrated more consistent benefits in preserving lung compliance and sustaining oxygenation compared with PCV. These findings support the role of APRV in critically ill patients; however, larger multicenter studies are needed to confirm long-term outcomes and guide individualized ventilation strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.410
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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