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
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».