Physician‐diagnosed asthma and acute chest syndrome: Associations with NOS Polymorphisms
Bibliographic record
Abstract
The main objectives of this paper were to test the hypothesis that polymorphisms in NOS1 and NOS3 genes associate with ACS in SCD patients and to characterize the association between physician-diagnosed asthma and acute chest syndrome (ACS). Case-control study of sickle cell disease patients >or=5 years old with ACS (cases; n=86) and those without ACS (controls; n=48) was carried out. Associations between ACS and the AAT repeat in intron 13 (formerly intron 20) of the NOS1, and with NOS3 T-786C polymorphism were explored. Physician-diagnosed asthma was determined by chart review, patient- or parent (guardian)-reported asthma, and drug use. Eighty five percent of participants with asthma had at least one episode of ACS compared to 14.6% of controls: adjusted odds ratio (OR) (95%CI) 5.46 (2.20,13.5), P= or<0.0001. Asthma correlated with the number of episodes of ACS (P<0.001). NOS1 AAT repeat polymorphism associated with the risk of ACS (P=0.001) in patients without physician-diagnosed asthma. No associations were found between the genotype of the NOS3 T-786C SNP and ACS. Physician-diagnosed asthma is a major risk factor for ACS. NOS1 AAT repeat polymorphism may contribute to physician-diagnosed asthma.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".