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Cyclosporin twice or three times daily dosing in pediatric transplant patients – It is not the same!

2006· article· en· W1975386814 on OpenAlexaff
Guido Filler, Viviane Rocha de Barros, Justin E. Jagger, Uwe Christians

Bibliographic record

VenuePediatric Transplantation · 2006
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicineDosingCyclosporinsIntensive care medicinePediatricsInternal medicineTransplantation

Abstract

fetched live from OpenAlex

Not infrequently, physicians elect to divide CyA-ME from b.i.d. to t.i.d. dosing in an effort to minimize toxicity. Equivalent exposure is assumed. Few studies have compared 24-h PK profiles on both dosing regimes in the same patient. We retrospectively studied a heterogeneous population of seven pediatric patients (one heart transplant, five renal transplants and one FSGS patient) on both dosing regimes who had complete 24-h PK profiles on CyA-ME. Four patients were converted from b.i.d. to t.i.d. and three patients from t.i.d. to b.i.d. dosing. There was no difference in the dose/kg (5.66 +/- 2.52 mg/kg on b.i.d. dosing and 5.75 +/- 1.81 mg/kg on t.i.d. dosing, p = 0.8578, two-sided t-test). When comparing the dose-normalized AUCs over 24 h, every single patient demonstrated lower CyA-ME exposure on t.i.d. than on b.i.d. dosing with an average relative bioavailability that was 37.9% lower on t.i.d. than on b.i.d. dosing. The median dose-normalized AUC(0-->24h) dropped from 1620 ng x h x kg/mL x mg (range: 1253-4319) on b.i.d. to 1016 ng x h x kg/mL x mg (range: 712-1485, p = 0.02, Wilcoxon's matched pairs test) on t.i.d. dosing. Our results indicate t.i.d. dosing of CyA-ME results in significantly lower exposure when the same total dose is administered in two divided doses. This reduced exposure may potentially increase the risk for rejection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.263
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2006
Admission routes1
Has abstractyes

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