Right Ventricular Hemodynamics in Acute Respiratory Distress Syndrome: Monitoring and Implications for Clinical Management
Bibliographic record
Abstract
Right ventricular (RV) injury (including RV dilatation/dysfunction/limitation/failure) and pulmonary vascular dysfunction are common in patients with acute respiratory distress syndrome (ARDS). Despite increasing recognition, RV injury is associated with increased mortality in patients with ARDS, and implementation of multimodal monitoring and timely RV-targeted interventions may therefore confer outcome benefit. The aim of this narrative review is to explore the clinical applications of diagnostic modalities for the RV and pulmonary circulation in invasively ventilated patients with ARDS, including the complementary roles of invasive hemodynamics, echocardiography, and pulmonary monitoring. We discuss the physiologic basis and utility of RV and pulmonary monitoring to guide the bedside intensivist in personalizing therapies aimed at protecting the RV. Building on previous work that focused on the principles and terminology of abnormal RV biomechanics in critical illness, this review is centered on monitoring of RV pathophysiology in ARDS and implications for bedside management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".