Jugular Venous Doppler Ultrasound as a Non-Invasive Window to Right Heart Hemodynamics: A Narrative Review and Future Perspective
Bibliographic record
Abstract
The Venous Excess Ultrasound Score (VExUS) has produced great interest in venous Doppler ultrasound as a noninvasive means to evaluate right heart hemodynamics. While this score includes Doppler morphologies from sub-diaphragmatic veins, the physiology of transcutaneous venous Doppler velocimetry and its change with cardiac pathology was first studied and described in the internal jugular vein (IJV). Over 50 years ago, the systolic and diastolic velocity waves of the IJV were found to describe the x'- and y-descents of the jugular venous pulse (JVP) in sickness and in health. Therefore, it is established that abnormalities in right heart filling and function are reflected in the jugular venous flow velocity (JVFV) profile. In this narrative review, we highlight the physiology of the JVP, its relationship to right heart performance, and, accordingly, its connection with JVFV. Grounded upon decades-old, pioneering investigations, we briefly highlight JVFV in patients with post-cardiopulmonary bypass physiology, atrial fibrillation, pericardial tamponade, and pulmonary hypertension. We then describe a novel, wireless, and wearable Doppler ultrasound that continuously displays JVFV and consider how this device informs diagnosis and therapy of acute circulatory dysfunction. We touch on gaps in knowledge and suggest future avenues of inquiry with special attention paid to synchronous acquisition and interpretation of venous and arterial Doppler measures. We emphasize the clinical relevance of this technology and physiological framework, including acute, inpatient shock resuscitation, volume removal (eg, "de-resuscitation"), and the possibility for chronic, outpatient monitoring.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".