Admission Hyperglycemia in Critically Ill Sepsis Patients: Association With Outcome and Host Response*
Bibliographic record
Abstract
OBJECTIVES: To investigate whether admission hyperglycemia is associated with the presentation and/or outcome of sepsis, what the influence of hyperglycemia is on key host responses to sepsis, and whether hyperglycemia differentially affects patients with diabetes mellitus. DESIGN AND SETTING: A substudy of a prospective observational cohort study was conducted in the intensive care of two tertiary hospitals between January 2011 and July 2013. PATIENTS: Of all consecutive critically ill sepsis patients, admission glucose was used to stratify patients in euglycemia (71-140 mg/dL), mild hyperglycemia (141-199 mg/dL), and severe hyperglycemia (≥ 200 mg/dL), and patients with hypoglycemia were excluded. Fifteen plasma biomarkers providing insight in key host responses implicated in sepsis pathogenesis were measured on admission. MEASUREMENTS AND MAIN RESULTS: Of 987 sepsis patients with admission glucose levels greater than 70 mg/dL, 519 (52.6%) had normal glucose levels, 267 (27.1%) had mild, and 201 (20.4%) severe hyperglycemia. Admission hyperglycemia was accompanied by mitigated alterations in plasma host response biomarker levels indicative of activation of the cytokine network, the vascular endothelium, and the coagulation system in patients without a history of diabetes. Severe, but not mild, admission hyperglycemia was associated with increased 30-day mortality (adjusted hazard ratio, 1.66 [95% CI, 1.24-2.23]), in both patients without diabetes (adjusted hazard ratio, 1.65 [95% CI, 1.12-2.42]) and with diabetes (adjusted hazard ratio, 1.91 [95% CI, 1.01-3.62]). CONCLUSION: Admission hyperglycemia is associated with adverse outcome of sepsis irrespective of the presence or absence of preexisting diabetes by a mechanism unrelated to exaggerated inflammation or coagulation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".