AA genotype of IL‐8 −251A/T is associated with low PaO<sub>2</sub>/FiO<sub>2</sub> in critically ill patients and with increased IL‐8 expression
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Interleukin-8 (IL-8) is a central chemokine in acute respiratory distress syndrome (ARDS), and the IL-8 gene contains a functional single nucleotide polymorphism (SNP) -251A/T in its promoter region. We hypothesized that IL-8 -251A/T SNP is associated with PaO(2)/FiO(2) in critically ill patients. METHODS: We conducted genetic-association studies in intensive care units at academic teaching centres using a derivation septic shock cohort (vasopressin and septic shock trial (VASST), n = 467) and a validation post-cardiopulmonary bypass surgery cohort (CPB, n = 739) of Caucasian patients. Patients in both cohorts were genotyped for IL-8 -251A/T. The primary outcome variable in both cohorts was the fraction of patients who had a PaO(2) /FiO(2) < 200. IL-8 mRNA expression was measured in genotyped lymphoblastoid cells in vitro. RESULTS: The frequency of the patients with PaO(2)/FiO(2) <200 was significantly greater in patients who had the AA genotype of -251A/T than in patients who had the AT or TT genotypes in both VASST (AA = 60.8% vs AT and TT = 53.8% and 48.0%, P = 0.038) and the CPB cohort (AA = 37.0% vs AT and TT = 27.0% and 26.0%, P = 0.039). Patients having the AA genotype had a higher probability to remain on mechanical ventilation (P = 0.047) in the first 14 days. Lymphoblastoid cells having the AA genotype had significantly higher IL-8 mRNA expression than cells having the AT or TT genotype (P = 0.022). CONCLUSIONS: Critically ill Caucasian patients who had the AA genotype of IL-8 -251A/T had an increased risk of PaO(2)/FiO(2) <200. The AA genotype was associated with greater IL-8 mRNA expression than the AT or TT genotypes.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".