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Extended experience with a steroid minimization immunosuppression protocol in pediatric renal transplant recipients

2009· article· en· W1830698594 on OpenAlexaff
Keith K. Lau, Gerre M. Berg, Yolanda G. Schjoneman, Richard V. Perez, Lavjay Butani

Bibliographic record

VenuePediatric Transplantation · 2009
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineImmunosuppressionTransplantationKidney transplantationRegimenSingle CenterIncidence (geometry)Adverse effectInternal medicineSurgeryPediatrics

Abstract

fetched live from OpenAlex

PURPOSE: To determine the safety and efficacy of a novel steroid minimization protocol after renal transplantation at a single Northern California center. INTRODUCTION: We have previously reported our experience on the short-term outcomes in eight children using our steroid minimization protocol. Herein, we present our ongoing experience in using this regimen in 20 children. METHODS: Children receiving immunosuppression with a steroid minimization protocol at our center from 1/04-12/08 (Group 2) were retrospectively compared with 20 controls (Group 1). RESULTS: At one-month follow-up, Group 2 was observed to have lower eGFR, hemoglobin, white cell count, and cholesterol. The incidence of adverse events during the first yr was comparable. Three patients in Group 1 displayed histological evidence of acute rejection, one patient in Group 2 developed humoral rejection; another patient in Group 2 had sub-clinical rejection. Surgical complications were observed in 20% of patients in both groups. While 10% of patients in Group 1 developed diabetes mellitus, none was observed in Group 2. Thirty and 40% of patients in Groups 1 and 2, respectively, suffered from infectious complications during the first yr. CONCLUSIONS: Our novel steroid minimization immunosuppression is safe in children and associated with no increased risk of rejection and infection.

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 score0.013
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
Bibliometrics0.0010.001
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 head0.014
GPT teacher head0.298
Teacher spread0.283 · 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

Citations13
Published2009
Admission routes1
Has abstractyes

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