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337.7: BETA-2 scores overestimate graft function in pancreatic islet transplant recipients with an estimated glomerular filtration rate of <30 ml/min/1.73m2

2023· article· en· W4387877329 on OpenAlexaffabout
Braulio A. Marfil‐Garza, Alice L. J. Carr, Meiying Zhuang, Anna Lam, Khaled Dajani, Blaire Anderson, Doug O’Gorman, Tatsuya Kin, David L. Bigam, A. M. James Shapiro, Peter Senior

Bibliographic record

VenueTransplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of British ColumbiaDiabetes CanadaUniversity of Alberta
Fundersnot available
KeywordsMedicineIsletInterquartile rangeRenal functionInternal medicineTransplantationUrologyBETA (programming language)Diabetes mellitusGastroenterologyInsulinEndocrinology

Abstract

fetched live from OpenAlex

Introduction: The BETA-2 score is a clinical composite score used to assess graft function after islet transplantation (ITx). This score incorporates C-peptide, fasting plasma glucose, hemoglobin A1c, and insulin requirements. However, C-peptide undergoes renal clearance and may accumulate in people with renal impairment. We sought to examine the effect of renal impairment on the BETA-2 score in ITx recipients. Methods: Cross-sectional study of ITx recipients at the University of Alberta. Most recent BETA-2 scores (pre-graft failure), and its components (insulin requirements, fasting plasma glucose, HbA1c and serum C-peptide), as well as eGFR during BETA-2 assessment (CKD-EPI) were obtained. Analyses were stratified by insulin dependence status and eGFR groups (using KDIGO stages of CKD). Medians and interquartile ranges (IQR) are presented, statistical comparisons were made using chi-square, Wilcoxon rank sum and Kruskal-Wallis tests, as appropriate. Segmented regression was used to identify inflection points where the BETA-2 score was disproportionally affected by changes in eGFR. Results: We include 178 recipients (42% male, median (IQR) age at first transplant of 52.3 (44.8-58.6) years) who received a median of 2 (2-3) islet infusions and 15,312 (11,705-20,278) islet equivalents/kg. Median BETA-2 scores were 11.1 (6.0-19.4), with a median time from first transplant to BETA-2 score calculation of 8.0 (4.2-11.9) years. A total of 37% of recipients were insulin independent, with similar rates observed between eGFR groups (p=0.631). Overall, BETA-2 scores were higher in ITx recipients with stage 4 CKD (<30 ml/min/1.73m2) compared to stage 1-2 CKD (≥60 ml/min/1.73m2) for those being insulin dependent (p=0.03) and insulin independent (p=0.0032) (Figure 1A). These differences were driven by C-peptide levels, which were increased in recipients with stage 4 CKD compared to stage 1-2 CKD in those being insulin dependent (p=0.075), but more importantly in those being insulin independent (p=0.00036) (Figure 1B). All other BETA-2 score components were similar between groups (Figure 1C-E). Segmented linear regression of the BETA-2 score with eGFR demonstrated an inflection point of eGFR 27 ml/min/1.73m2 for recipients being insulin dependent and 24 ml/min/1.73m2 for those being insulin independent (Figure 2). Conclusions: This study shows that BETA-2 scores increase as eGFR declines, driven by the C-peptide component of the score, a phenomenon that is most notable in insulin independent recipients. These higher C-peptide levels (and BETA-2 scores) do not reflect better graft function, as they are not associated with better glycemic control or higher insulin independence rates. Our data suggests that in recipients with eGFR<30 ml/min/1.73m2, BETA-2 scores and C-peptide levels should be cautiously interpreted.The Clinical Islet Transplant Program is funded by the Government of Alberta, the Juvenile Diabetes Research Foundation, the US National Institute of Diabetes and Digestive and Kidney Diseases, the Diabetes Research Institute Foundation of Canada, and the Immune Tolerance Network. JS holds a Canada Research Chair (Tier 1) in Regenerative Medicine and Transplantation Surgery, and is supported through grant support from the Juvenile Diabetes Research Foundation, Diabetes Canada, The Canadian Donation and Transplant Research Project, the Diabetes Research Institute Foundation of Canada (DRIFCan), the Alberta Diabetes Foundation, and the Canadian Stem Cell Network. BM-G is supported by an Alberta Transplant Institute scholarship and the CHRISTUS Excellence and Innovation Center. AL and PAS are supported by the Alberta Academic Medicine Health Services Program. PAS holds the Charles A Allard Chair in Diabetes Research. We acknowledge a large group directly or indirectly involved in the clinical care of patients undergoing pancreatic islet transplantation at the University of Alberta (Edmonton, AB, Canada), including Edmond Ryan, Norman Kneteman, Breay W Paty, and Angela Koh, as well as surgical fellows, technicians, and support staff from the Clinical Islet Transplant and Human Organ Procurement and Exchange Programs.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.275
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2023
Admission routes2
Has abstractyes

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