Evaluation Of Congestion Levels in Septic Patients Admitted to Critical Care Units with a Combined Venous Excess-Lung Ultrasound Score (VExLUS) – a Research Protocol
Bibliographic record
Abstract
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection with a high mortality rate. Septic shock is a subset of sepsis with manifest circulatory dysfunction (use of vasopressors and persistent elevation of lactic acid) . As stated in literature, in addition to the use of empiric antibiotics and control of the infectious focus, intravenous fluid therapy is an essential intervention to promote hemodynamic stabilization. However, the literature also describes harmful outcomes related to fluid overload. Hemodynamic management in critically ill patients has traditionally focused on maintaining adequate cardiac output and arterial blood pressure by relying on fluid administration and/or vasopressor/inotropic support. However, organ perfusion is affected by other important factors, such as venous pressure, which can be overlooked. The evaluation of lung congestion with point of care ultrasound (POCUS), as a signal of extravascular fluid, and, more recently, a venous excess Doppler ultrasound (VExUS) grading system, are parameters for the assessment of the fluid status of the patient and organ congestion. Our main hypothesis is that adding a modified lung ultrasound score to the VExUS protocol could provide higher sensitivity and earlier identification of fluid overload, guiding the clinician in the decision of fluid administration in patients with sepsis.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".