GASTRIC-ARTERIAL PCO2 GRADIENT DOES NOT REFLECT SYSTEMIC AND SPLANCHNIC HEMODYNAMICS OR OXYGEN TRANSPORT AFTER CARDIAC SURGERY
Bibliographic record
Abstract
Gastric mucosal-arterial PCO2 gradient (P(g-a)CO2) is used to assess splanchnic perfusion and oxygenation. We evaluated whether P(g-a)CO2 reflects whole body (Q) and splanchnic (Qsp) blood flow, oxygen delivery (DO2) and consumption (VO2) after coronary artery by pass graft (CABG) operation. Thirty patients received dobutamine or dopexamine to increase cardiac index, 15 patients enalapril or sodium nitroprusside to lower blood pressure, and 30 patients were controls. We measured Q, Qsp (hepatic vein catheter and indocyanine green), and gastric mucosal PCO2 (nasogastric tonometer) before and after interventions. Multiple linear regression model showed that none of the changes in Q, Qsp, and splanchnic or systemic DO2 and VO2 significantly explained changes in P(g-a)CO2 (deltaP(g-a)CO2). All independent variables together explained only 7% of deltaP(g-a)CO2. Increased splanchnic blood flow (0.65 +/- .19 vs. 0.94 +/- .31 L/min/m2, P < 0.001) and increased splanchnic DO2 (101 +/- 28 vs. 143 +/- 42 mL/min/m2, P < 0.001) during catecholamine infusions were associated with increased P(g-a)CO2 (8 +/- 8 vs. 11 +/- 7 mmHg, P = 0.003). P(g-a)CO2 does not reflect whole body or splanchnic blood flow, DO2 or VO2 after CABG operations. The physiology of P(g-a)CO2 is complex and therefore it is difficult for clinicians to interpret changes in gastric mucosal-arterial PCO2 gradient in individual patients after cardiac surgery.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".