青年1型或2型糖尿病患者的糖尿病并发症和认知功能:青年糖尿病研究

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2023-01-01 Epub Date: 2023-04-08 DOI:10.1155/2023/4860831
Allison L B Shapiro, Anna Bellatorre, Dana Dabelea, Jeanette M Stafford, Ralph D'Agostino, Amy S Shah, Elaine M Urbina, Catherine E Barrett, Catherine Pihoker, Santica Marcovina, Angela D Liese, Amy K Mottl, Elizabeth T Jensen, Greta Wilkening
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引用次数: 0

摘要

目标/假设。患有1型(T1D)或2型糖尿病(T2D)并伴有糖尿病并发症的人可能存在明显的认知缺陷。然而,目前尚不清楚多种糖尿病并发症是否以及如何与认知功能障碍同时发生,尤其是在青年糖尿病患者中。方法。使用来自青年糖尿病研究队列(一个前瞻性纵向队列)的数据,我们检查了青年发病T1D或T2D的年轻人的并发症及其潜在临床因素与认知测试的表现。认知通过NIH工具箱认知电池进行评估。主要认知变量是复合流体认知和相关认知子域的年龄校正分数。糖尿病并发症包括视网膜病变、微量白蛋白尿和周围神经病变(PN)。血脂、收缩压(SBP)、血红蛋白A1c和其他临床因素也包括在分析中。将聚类分别应用于每组(T1D = 646;T2D = 165)。为每种糖尿病类型确定一个三簇(C)解决方案。在得到的聚类之间比较所有因素的平均值和频率。后果各组复合液体认知的平均年龄校正分数在各组之间存在显著差异(p<0.001)。在认知测试前一年,T1D和平均液体认知得分最低的人自我报告至少一次低血糖发作的频率最高,PN患病率最高。T2D和平均流体认知得分最低者SBP最高,中心收缩压和舒张压最高,PN发病率最高。结论/解释。这些发现强调了共同的(PN)和独特的因素(T1D的低血糖;T2D的SBP),这些因素可能有助于缓解青年糖尿病患者的认知问题。
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Diabetes complications and cognitive function in young adults with youth-onset type 1 or type 2 diabetes: the SEARCH for Diabetes in Youth Study.

Aims/hypotheses: People with type 1 (T1D) or type 2 diabetes (T2D) who also have diabetes complications can have pronounced cognitive deficits. It remains unknown, however, whether and how multiple diabetes complications co-occur with cognitive dysfunction, particularly in youth-onset diabetes.

Methods: Using data from the SEARCH for Diabetes in Youth study cohort, a prospective longitudinal cohort, we examined clustering of complications and their underlying clinical factors with performance on cognitive tests in young adults with youth-onset T1D or T2D. Cognition was assessed via the NIH Toolbox Cognition Battery. The main cognitive variables were age-corrected scores for composite fluid cognition and associated cognitive subdomains. Diabetes complications included retinopathy, microalbuminuria, and peripheral neuropathy (PN). Lipids, systolic blood pressure (SBP), hemoglobin A1c, and other clinical factors were included in the analyses. Clustering was applied separately to each group (T1D=646; T2D=165). A three-cluster(C) solution was identified for each diabetes type. Mean values and frequencies of all factors were compared between resulting clusters.

Results: The average age-corrected score for composite fluid cognition differed significantly across clusters for each group (p<0.001). People with T1D and the lowest average fluid cognition scores had the highest frequency of self-reporting at least one episode of hypoglycemia in the year preceding cognitive testing and the highest prevalence of PN. Persons with T2D and the lowest average fluid cognition scores had the highest SBP, the highest central systolic and diastolic blood pressures, and highest prevalence of PN.

Conclusions/interpretations: These findings highlight shared (PN) and unique factors (hypoglycemia in T1D; SBP in T2D) that could be targeted to potentially mitigate cognitive issues in young people with youth-onset diabetes.

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