Changes in Radial Artery Pulse Pressure During a Fluid Challenge Cannot Assess Fluid Responsiveness in Patients With Septic Shock
Bibliographic record
Abstract
Background: Arterial blood pressure is the most common variable used to assess the response to a fluid challenge in routine clinical practice. The aim of this study was to evaluate the accuracy of the change in the radial artery pulse pressure (rPP) to detect the change in cardiac output after a fluid challenge in patients with septic shock. Methods: Prospective observational study including 35 patients with septic shock in which rPP and cardiac output were measured before and after a fluid challenge with 400 mL of crystalloid solution. Cardiac output was measured with intermittent thermodilution technique using a pulmonary artery catheter. Patients were divided between responders (increase >15% of cardiac output after fluid challenge) and nonresponders. The area under the receiver operating characteristic curve (AUROC), Pearson correlation coefficient and paired Student t test were used in statistical analysis. Results: Forty-three percent of the patients were fluid responders. The change in rPP could not neither discriminate between responders and nonresponders (AUROC = 0.52; [95% confidence interval: 0.31-0.72] P = .8) nor correlate ( r = .21, P = .1) with the change in cardiac output after the fluid challenge. Conclusions: The change in rPP neither discriminated between fluid responders and nonresponders nor correlated with the change in cardiac output after a fluid challenge. The change in rPP cannot serve as a surrogate of the change in cardiac output to assess the response to a fluid challenge in patients with septic shock.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".