The Association of Interleukin 6 Haplotype Clades With Mortality in Critically Ill Adults
Bibliographic record
Abstract
BACKGROUND: Interleukin 6 (IL-6) is a key proinflammatory cytokine in the systemic inflammatory response syndrome (SIRS). A G-->C polymorphism at position -174 of the IL-6 gene is associated with an adverse outcome in a number of inflammatory diseases, although its association with sepsis as an outcome remains unclear. We tested the hypothesis that specific haplotype clades of IL-6 may be associated with an outcome of SIRS. METHODS: We studied a cohort of 228 critically ill white patients who met at least 2 of 4 SIRS criteria. Clinical data were collected over 28 days after hospital admission. Haplotypes of IL-6 were inferred from publicly available data using PHASE (software for haplotype reconstruction and recombination rate estimation from population data), and cladistic structure was determined using Molecular Evolutionary Genetic Analyses (MEGA2) software. Then, a minimum set of "haplotype tag" single nucleotide polymorphisms (-174G/C, 1753C/G, and 2954G/C) that defined all 4 major haplotype clades of the IL-6 gene was chosen for further genotyping. RESULTS: Patients who had 2 copies of haplotypes from within the haplotype clades -174C/1753C/2954G (C/C/G), G/G/G, or G/C/C had a greater 28-day mortality compared with patients who carried 1 or no copies of these haplotypes (40.0% vs 26.0%; P = .02). These patients also had fewer days alive and free of multiple system organ dysfunction (P<.05). There were no associations between individual single nucleotide polymorphisms (including -174G/C) and survival or organ dysfunction. CONCLUSIONS: The C/C/G, G/G/G, and G/C/C haplotype clades of IL-6 were strongly associated with increased mortality and more organ dysfunction in a cohort of critically ill patients who had SIRS. Haplotype-based analysis succeeded in identifying this association, whereas individual single nucleotide polymorphism-based analysis failed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".