The Role of Sputum Clusterin in Childhood Asthma in Zagazig University Hospitals: A case control Study.
Bibliographic record
Abstract
Clusterin serves as a highly sensitive cellular detector for oxidative stress and has been extensively investigated as a significant indicator for disorders related with inflammation. The evaluation of clusterin in pediatric population diagnosed with has not been fully evaluated. Methods: This is a case-control study. It was a prospective study carried on Pulmonology unit Pediatric department, Zagazig University hospitals including 54 Patients 7 – 14 years in age, both genders were included, this study was planned to include fifty four (54) subjects; thirty six (36) asthmatic children as patients and another eighteen (18) healthy children as controls. Results: In the current research we had reported that there was astatistically significant disparities between studied groups regarding sputum clusterin (p value of ≤0.001) as children diagnosed with stable asthma had elevated levels of clusterin compared to the healthy control group [14.82(13.74–16.59) ng/mL vs 11.75 (10.82-12.54) ng/mL]. During asthma exacerbation, the levels of clusterin in sputum were decreased compared to stable asthma [8.13 (4.31–9.41) ng/mL vs 14.82 (13.74–16.59) ng/mL]. Our investigation reported a statistically significant association between the severity of asthma and serum Clusterin in severe asthma as patients with severe asthma had elevated levels of clusterin in comparison to those who had mild asthma [16.47 (15.76–18.12) ng/mL vs 13.79 (12.85-14.03) ng/mL]. Conclusion: Clusterin levels detected in sputum can be considered as a biomarker of airways inflammation and the intensity of symptoms, making it a valuable tool for evaluating and treating childhood 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".