Use of Near-Infrared Spectroscopy as a Physiologic Monitor for Intra-abdominal Hypertension
Bibliographic record
Abstract
BACKGROUND: Intra-abdominal hypertension (IAH) is increasingly recognized as an important parameter in critically ill (ICU) patients. IAH affects perfusion to all abdominal components including the abdominal wall (AW). Near infrared spectroscopy (NIRS) measures changes in three chromophores including oxygenated hemoglobin (HbO2), deoxygenated hemoglobin (Hb), and cytochrome aa3 (Cyt), providing information concerning dysoxia. We sought to examine whether NIRS measurement of the AW was safe, and correlated with intra-abdominal pressure (IAP) in ICU patients. METHODS: A NIU-Pro001 system recorded NIRS data over 24 hours from the AW of 9 ICU patients at risk for IAH. IAP was recorded from the bladder. Changes in chromophore values are interpolated from best-fit polynomial curves. RESULTS: Sixty-six paired IAP and NIRS readings were taken from 9 ICU (4-12 observations/patient) patients. No measurement related adverse reactions occurred. The mean (range) first values measured in these patients were; IAP 17.2 mm Hg (9-31); HbO2 0.41 micromol/L (-8.4 to 7.6); Hb 2.6 micromol/L (-3.1 to 12.2); and Cyt 0.65 micromol/L (-3.4 to 4.8). A significant, inverse (or negative) association was found between DeltaNIRS HbO2 level and DeltaIAP (coefficient, -0.1588; p = 0.008). No association was found between DeltaNIRS Hb or DeltaCyt and DeltaIAP. CONCLUSION: NIRS of the AW appears safe. NIRS measurement of changes in HbO2 appears to be associated with DeltaIAP, and warrant further study in greater numbers of ICU patients with more frequent IAP readings, over longer periods of critical illness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".