早期代谢指标预测全胰切除术和胰岛自体移植受者的长期胰岛素依赖性

IF 1.9 Q3 TRANSPLANTATION Transplantation Direct Pub Date : 2023-12-12 DOI:10.1097/TXD.0000000000001561
Y. Nanno, James S. Hodges, Martin L. Freeman, G. Trikudanathan, S. Schwarzenberg, E. Downs, Karthik Ramanathan, Timothy L. Pruett, Gregory J. Beilman, S. Chinnakotla, Bernhard J. Hering, M. Bellin
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引用次数: 0

摘要

背景。尽管全胰切除术和胰岛自体移植(TP-IAT)后的糖尿病是TP-IAT接受者和医生最关心的问题之一,但TP-IAT后血糖控制的可靠预测仍未建立。本研究旨在通过糖化血红蛋白(HbA1c)≤6.5%确定TP-IAT后胰岛素独立性和目标血糖控制的早期预测指标。方法。在这项单中心、回顾性研究中,接受TP-IAT的患者(n = 227)在TP-IAT后3个月作为标准临床检测的一部分获得了简单的代谢标志物或β细胞功能的替代指标。长期代谢成功定义为(1)胰岛素独立性和(2)HbA1c≤6.5%在TP-IAT后1,3和5年。单变量和多变量建模使用3个月标记来预测成功的结果。结果。在227名接受治疗的患者中,中位年龄31岁,男性占30%,TP-IAT胰岛素独立后1岁,HbA1c≤6.5%分别占39.6%和72.5%。在单预测分析中,大多数代谢标记成功地区分了达到和未达到代谢目标的人。使用随机森林分析选择的最佳模型,我们分别准确预测了77.3%和86.4%的患者的1-y胰岛素独立性和目标HbA1c控制。一种更简单的“临床可行”模型,仅使用移植胰岛剂量和β -2评分,更容易预测,准确性损失较小(分别为74.1%和82.9%)。结论。TP-IAT后3个月进行的代谢测试与后期糖尿病结局高度相关,并提供了可靠的预测模型,为TP-IAT后早期提供了有价值的预后洞察,并有助于确定需要早期干预的接受者。
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Early Metabolic Measures Predict Long-term Insulin Independence in Recipients of Total Pancreatectomy and Islet Autotransplantation
Background. Although diabetes after total pancreatectomy and islet autotransplantation (TP-IAT) is one of the biggest concerns for TP-IAT recipients and physicians, reliable prediction of post-TP-IAT glycemic control remains unestablished. This study was conducted to identify early predictors of insulin independence and goal glycemic control by hemoglobin A1c (HbA1c) ≤ 6.5% after TP-IAT. Methods. In this single-center, retrospective study, patients who underwent TP-IAT (n = 227) were reviewed for simple metabolic markers or surrogate indices of β-cell function obtained 3 mo after TP-IAT as part of standard clinical testing. Long-term metabolic success was defined as (1) insulin independence and (2) HbA1c ≤ 6.5% 1, 3, and 5 y after TP-IAT. Single- and multivariate modeling used 3-mo markers to predict successful outcomes. Results. Of the 227 recipients, median age 31 y, 30% male, 1 y after TP-IAT insulin independence, and HbA1c ≤ 6.5% were present in 39.6% and 72.5%, respectively. In single-predictor analyses, most of the metabolic markers successfully discriminated between those attaining and not attaining metabolic goals. Using the best model selected by random forests analysis, we accurately predicted 1-y insulin independence and goal HbA1c control in 77.3% and 86.4% of the patients, respectively. A simpler “clinically feasible” model using only transplanted islet dose and BETA-2 score allowed easier prediction at a small accuracy loss (74.1% and 82.9%, respectively). Conclusions. Metabolic testing measures performed 3 mo after TP-IAT were highly associated with later diabetes outcomes and provided a reliable prediction model, giving valuable prognostic insight early after TP-IAT and help to identify recipients who require early intervention.
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来源期刊
Transplantation Direct
Transplantation Direct TRANSPLANTATION-
CiteScore
3.40
自引率
4.30%
发文量
193
审稿时长
8 weeks
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