Achievement of Target Cyclosporine Concentrations as a Predictor of Severe Acute Graft Versus Host Disease in Children Undergoing Hematopoietic Stem Cell Transplantation and Receiving Cyclosporine and Methotrexate Prophylaxis
Bibliographic record
Abstract
This study evaluates our institution's target trough cyclosporine (CSA) concentrations as predictors of severe acute graft versus host disease (aGvHD) in children receiving either matched related or unrelated hematopoietic stem cell transplantation (HSCT). The outcomes of 87 consecutive children who underwent allogeneic HSCT and received CSA and methotrexate as prophylaxis against aGvHD between October 1, 1999 and September 30, 2002 were retrospectively evaluated. The proportion of time that each patient maintained a whole blood CSA concentration within or above the initial target range (105-155 ng/mL or 155-210 ng/mL) was calculated for each of the following time periods: in each week after HSCT from day 0 to +28; in the week preceding engraftment; and in the week preceding the onset of aGvHD. Patients were prospectively evaluated twice weekly for the presence and severity of aGvHD by senior attending physicians. The relationship between potential predictors and the development of severe aGvHD was examined using univariate logistic regression. The main variables of interest were the proportion of time that therapeutic or supratherapeutic CSA concentrations were maintained; median CSA concentrations; the number of methotrexate doses received; and the use of folinic acid rescue. Mean follow-up time was 3.0+/-1.9 years among children who survived beyond day +100. Three variables were significantly associated with the development of severe aGvHD on univariate analysis: initial CSA target concentration [odds ratio (OR), 0.24; P=0.03], proportion of time the target CSA concentration was achieved during the second week after transplant (OR, 0.16; P=0.02), and proportion of time the target CSA concentration was achieved during the week before engraftment (OR, 0.22; P=0.0489). Multivariable analysis demonstrated an inverse relationship between the median CSA concentration during the week before engraftment and the development of severe aGvHD (OR, 0.99; P=0.045). These results suggest that achievement of our CSA target concentrations is important to aGvHD outcomes.
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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 | 0.003 |
| 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 | 0.000 | 0.001 |
| 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".