Serial procalcitonin responses in infection of children with secondary immunodeficiency
Bibliographic record
Abstract
PURPOSE: Procalcitonin has proven to be a sensitive inflammatory marker in non-neutropenic patients. The aim of this study was to determine and compare Procalcitonin with other inflammatory markers in the serum of immunosuppressed children with haematological malignancies; and to assess the predictive value of these mediators in distinguishing between bacterial and non-bacterial infection. METHODS & RESULTS: The study included 37 children with acute lymphoblastic leukaemia undergoing intensive chemotherapy. They were divided into 3 groups, A, B and C. Group A consisted of 29 neutropenic children with 94 febrile episodes, group B of 20 neutropenic children with 56 afebrile episodes and group C of 13 non-neutropenic children with 58 afebrile episodes. Serial serum levels of PCT, C-Reactive Protein, Neopterin, Interleukin-6 and NO2/NO3 were all determined on a day-to-day basis for 7 consecutive days. In serum the concentrations of CRP was determined by nephelometry, of PCT by immunoluminescence and of Neopterin, IL-6 and NO2/NO3 by ELISA method. CONCLUSIONS: According to our results the Procalcitonin concentration increased rapidly in patients with microbial infection; the response was detectable within 24 hs of the onset of fever due to microbial infections. Procalcitonin is a specific and sensitive marker of microbial infection in patients with neutropenic fever. The markers, C-Reactive Protein, Interleukin-6 and NO2/NO3 may not help to identify infections and distinguish the etiology of infection in neutropenic febrile children with acute lymphoblastic leukaemia.
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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 | 0.001 | 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 | 0.005 |
| 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".