Protein C −1641 AA is associated with decreased survival and more organ dysfunction in severe sepsis*
Bibliographic record
Abstract
OBJECTIVE: Protein C contains an A/G polymorphism at position -1641 and a C/T polymorphism at -1654 associated with risk of deep venous thrombosis. We tested the hypothesis that these polymorphisms are associated with altered outcome in patients having severe sepsis, in which protein C is a central molecule. DESIGN: Prospective cohorts, gene-association study. SETTING: Tertiary care medical/surgical intensive care unit. PATIENTS: We first recruited a derivation cohort of patients having severe sepsis (n = 62). A second replication cohort was similarly defined but larger (n = 402). We tested for biological plausibility in a third cohort of post-cardiopulmonary bypass patients (n = 61). INTERVENTIONS: Patients were genotyped at protein C -1641 and -1654. MEASUREMENTS AND MAIN RESULTS: The primary outcome variable was survival in cohorts 1 and 2 and postoperative serum interleukin-6 concentration in cohort 3. Severity of individual organ dysfunctions and systemic inflammation were secondary outcome variables. In the first derivation cohort, the protein C -1641 AA genotype was associated with decreased 28-day survival (p < .05). This finding was confirmed in the much larger replication cohort of patients having severe sepsis (p = .028). In addition, the protein C -1641 AA genotype was associated with significantly more organ dysfunction and more clinical evidence of systemic inflammation (p < .05). Furthermore, the -1641 AA genotype was associated with increased serum interleukin-6 at 4 and 24 hrs after cardiopulmonary bypass (p = .024). There was no association of -1654 A/G with phenotype in any cohort. CONCLUSIONS: Protein C -1641 AA genotype is associated with decreased survival, more organ dysfunction, and more systemic inflammation in patients having severe sepsis and with increased interleukin-6 levels after cardiopulmonary bypass surgery.
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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 | 0.000 | 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 | 0.000 |
| 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".