Serum β-Defensin-2 Levels and Their Relationship with the Clinical Course and Prognosis in Patients with Crimean-Congo Hemorrhagic Fever
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate the role of the clinical course and prognosis of serum levels of β-defensin-2 (BD-2) in patients with Crimean-Congo hemorrhagic fever (CCHF). SUBJECTS AND METHODS: Patients who were hospitalized in the Department of Infectious Diseases and Clinical Microbiology of the Faculty of Medicine, Ataturk University, were considered for inclusion in this study. The patients had positive real-time reverse transcription polymerase chain reaction and/or enzyme-linked immunosorbent assay results of the CCHF virus. There were 60 patients with CCHF in the study group and 25 healthy participants in the control group. Serum BD-2 levels were measured using ELISA. Data were analyzed using the Student t test or Mann-Whitney U test. RESULTS: Of the 60 patients, 6 (10%) died and 54 (90%) were discharged following their recovery. The mean BD-2 level of the patient group was significantly higher (4,180.30 ± 3,944.19 pg/ml) than that of the control group (964.45 ± 266.07 pg/ml; p = 0.001). Serum BD-2 levels of the patients with fatal (1,529.81 ± 1,028.14) and nonfatal disease (4,474.80 ± 4,041.58) differed, but this difference showed only borderline significance (p = 0.055). The mean BD-2 level of the severe group was 5,507.45 ± 4,327.06 pg/ml, while it was 3,611.52 ± 3,676.73 pg/ml in the mild/moderate group, and both were significantly higher than that of the control group (p = 0.001). CONCLUSION: In this study, the expression of serum BD-2 was raised in patients with CCHF, and this increase may beneficially affect survival. Studies with larger sample sizes are needed to confirm the association of serum BD-2 with CCHF prognosis.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".