Non-invasive measurement of right atrial pressure by near-infrared spectroscopy: preliminary experience. A report from the SICA-HF study
Bibliographic record
Abstract
To assess the clinical value of measuring right atrial pressure (RAP) using near-infrared spectroscopy (NIRS) in patients with chronic heart failure (CHF). \nMethods and results \n \nRAP was measured non-invasively using NIRS over the external jugular vein (Venus 1000, Mespere LifeSciences, Canada) in ambulatory patients with CHF enrolled in the Studies Investigating Co-morbidities Aggravating Heart Failure (SICA-HF) programme. Comparing 243 patients with CHF (mean age 71 years; mean left ventricular ejection fraction (LVEF) 45%, median NT-proBNP 788 ng/L) to 49 controls (NT-proBNP ≤125 ng/L), RAP was 7 [interquartile range (IQR) 4–11] mmHg vs. 4 (IQR 3–8) mmHg (P < 0.001). Those with RAP ≥10 mmHg (n = 75) were older, had more severe clinical congestion and renal dysfunction, higher plasma NT-proBNP, larger left atrial volume, higher systolic pulmonary pressure and were more often in atrial fibrillation but their LVEF was similar to patients with lower RAP. During a median follow-up of 595 (IQR: 492–714) days, 49 patients (20%) died or were hospitalized for worsening CHF. Compared with patients with RAP ≤5 mmHg, those with RAP ≥10 mmHg had a greater risk of an event (hazard ratio 2.38, 95% confidence interval 1.19–4.75, P = 0.014). RAP measured by NIRS predicted outcome, competing with NT-proBNP in multivariable models. \nConclusions \n \nMeasuring RAP using NIRS identifies ambulatory patients with CHF who have more severe congestion and a worse outcome. The device might be a useful objective method of monitoring RAP, especially for those inexperienced in eliciting physical signs or when measurement of natriuretic peptides is not immediately available.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 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".