Elevated Lactate is Independently Associated with Adverse Outcomes Following Hepatectomy
Bibliographic record
Abstract
BACKGROUND: Arterial lactate is frequently monitored to indicate tissue hypoxia and direct therapy. We sought to determine whether early post-hepatectomy lactate (PHL) is associated with adverse outcomes and define factors associated with PHL. METHODS: Hepatectomy patients at a single institution from 2003 to 2012 with PHL available were included. Univariable and multivariable analyses examined factors associated with PHL and the relationship between PHL and 30-day major morbidity (Clavien grade III-V), 90-day mortality, and length of stay (LOS). RESULTS: Of 749 hepatectomies, 490 were included of whom 71.4% had elevated PHL (≥2 mmol/L). Cirrhosis (coefficient 0.31, p = 0.039), Charlson comorbidity index (coefficient 0.05, p < 0.001), major resections (coefficient 0.34, p < 0.001), procedure time (coefficient 0.08, p < 0.001), and blood loss (coefficient 0.11, p < 0.001) were associated with PHL. As lactate increased from <2 to ≥6 mmol/L, morbidity rose from 11.6 to 40.6%, and mortality from 0.7 to 22.7%. PHL was independently associated with 90-day mortality (OR 1.52 p < 0.001) and 30-day morbidity (OR 1.19, p = 0.002), but not LOS (rate ratio 1.03, p = 0.071). CONCLUSION: Patients with elevated PHL in the initial postoperative period should be carefully monitored due to increased risk of major morbidity and mortality. Further research on the impact of lactate-directed fluid therapy is warranted.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".