Suppr超能文献

肾功能作为 2 型糖尿病患者强化血糖控制延缓认知功能下降的效应修饰因子:对 ACCORD MIND 试验的再考察。

Renal function as an effect modifier of intensive glucose control in delaying cognitive function decline among individuals with type 2 diabetes: A revisit to the ACCORD MIND trial.

机构信息

Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.

Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.

出版信息

Diabetes Obes Metab. 2024 Sep;26(9):3958-3968. doi: 10.1111/dom.15744. Epub 2024 Jul 4.

Abstract

AIM

Dysglycaemia accelerates cognitive decline. Intensive glucose control may help delay or prevent cognitive function decline (CFD). We aimed to determine how patient characteristics influence the effect of intensive glucose control [glycated haemoglobin (HbA1c) <6.0%] on delaying CFD in people with type 2 diabetes.

RESEARCH DESIGN AND METHODS

In this post-hoc analysis of 2977 type 2 diabetes participants from the ACCORD MIND trial, we applied the causal forest and causal tree algorithms to identify the effect modifier of intensive glucose control in delaying CFD from 68 variables (demographics, disease history, medications, vitals and baseline biomarkers). The exposure was intensive versus standard glucose control (HbA1c <6.0% vs. 7.0%-7.9%). The main outcome was cognitive function changes from baseline to the 40th month follow-up, which were evaluated using the digit symbol substitution test, Rey auditory verbal learning test, mini-mental state examination and Stroop test. We used Cohen's d, a measure of standardized difference, to quantify the effect size of intensive glucose control on delaying CFD.

RESULTS

Among all the baseline characteristics, renal function was the most significant effect modifier. Participants with urinary albumin levels <0.4 mg/dl [absolute function change (AFC): 0.51 in mini-mental state examination, 95% confidence interval (CI): 0.04, 0.98, Cohen's d: 0.25] had slower CFD with intensive glucose control. Patients with preserved renal function (estimated glomerular filtration rate between 60 and 90 ml/min/1.73 m) were associated with small benefits (AFC: 1.28 in Stroop, 95% CI: 0.28, 2.27, Cohen's d: 0.12) when undergoing intensive glucose control. Conversely, participants with an estimated glomerular filtration rate <60 ml/min/1.73 m (AFC: -0.57 in the Rey auditory verbal learning test, 95% CI: -1.09, -0.05, Cohen's d: -0.30) exhibited faster CFD when undergoing intensive glucose control. Participants who were <60 years old showed a significant benefit from intensive glucose control in delaying CFD (AFC: 1.08 in the digit symbol substitution test, 95% CI: 0.06, 2.10, Cohen's d: 0.13). All p < .05.

CONCLUSIONS

Our findings linked renal function with the benefits of intensive glucose control in delaying CFD, informing personalized HbA1c goals for those with diabetes and at risk of CFD.

摘要

目的

糖代谢紊乱加速认知能力下降。强化血糖控制可能有助于延缓或预防认知功能下降(CFD)。我们旨在确定患者特征如何影响强化血糖控制[糖化血红蛋白(HbA1c)<6.0%]对 2 型糖尿病患者 CFD 延迟的影响。

研究设计和方法

在 ACCORD MIND 试验的 2977 名 2 型糖尿病患者的这项事后分析中,我们应用因果森林和因果树算法来确定强化血糖控制对 CFD 延迟的影响修饰因子,该影响来自 68 个变量(人口统计学、疾病史、药物、生命体征和基线生物标志物)。暴露是强化血糖控制(HbA1c<6.0%)与标准血糖控制(HbA1c 7.0%-7.9%)之间的差异。主要结局是从基线到第 40 个月随访的认知功能变化,使用数字符号替换测试、 Rey 听觉言语学习测试、简易精神状态检查和 Stroop 测试进行评估。我们使用 Cohen's d,一种衡量标准化差异的指标,来量化强化血糖控制对延缓 CFD 的影响大小。

结果

在所有基线特征中,肾功能是最重要的影响修饰因子。尿白蛋白水平<0.4mg/dl 的患者[简易精神状态检查的绝对功能变化(AFC):0.51,95%置信区间(CI):0.04,0.98,Cohen's d:0.25]强化血糖控制后 CFD 进展较慢。肾小球滤过率在 60 至 90ml/min/1.73m 之间的肾功能正常的患者强化血糖控制后获益较小(Stroop 测试的 AFC:1.28,95%CI:0.28,2.27,Cohen's d:0.12)。相反,肾小球滤过率<60ml/min/1.73m 的患者[Rey 听觉言语学习测试的 AFC:-0.57,95%CI:-1.09,-0.05,Cohen's d:-0.30]强化血糖控制后 CFD 进展更快。年龄<60 岁的患者强化血糖控制对延缓 CFD 有显著获益(数字符号替换测试的 AFC:1.08,95%CI:0.06,2.10,Cohen's d:0.13)。所有 p<0.05。

结论

我们的研究结果将肾功能与强化血糖控制对延缓 CFD 的益处联系起来,为那些患有糖尿病和有 CFD 风险的患者提供个性化的 HbA1c 目标。

相似文献

2
Glucose-lowering agents for treating pre-existing and new-onset diabetes in kidney transplant recipients.
Cochrane Database Syst Rev. 2017 Feb 27;2(2):CD009966. doi: 10.1002/14651858.CD009966.pub2.
3
Perioperative glycaemic control for people with diabetes undergoing surgery.
Cochrane Database Syst Rev. 2023 Aug 1;8(8):CD007315. doi: 10.1002/14651858.CD007315.pub3.
5
Intensive glucose control versus conventional glucose control for type 1 diabetes mellitus.
Cochrane Database Syst Rev. 2014 Feb 14;2014(2):CD009122. doi: 10.1002/14651858.CD009122.pub2.
6
Glycaemic control in labour with diabetes: GILD, a scoping study.
Health Technol Assess. 2025 Aug;29(41):1-150. doi: 10.3310/KHGD2761.
7
Treatment of periodontitis for glycaemic control in people with diabetes mellitus.
Cochrane Database Syst Rev. 2022 Apr 14;4(4):CD004714. doi: 10.1002/14651858.CD004714.pub4.
8
Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes.
Cochrane Database Syst Rev. 2023 May 31;5(5):CD014513. doi: 10.1002/14651858.CD014513.
10
Glucose targets for preventing diabetic kidney disease and its progression.
Cochrane Database Syst Rev. 2017 Jun 8;6(6):CD010137. doi: 10.1002/14651858.CD010137.pub2.

引用本文的文献

1
Diabetic kidney disease-Recent updates.
J Diabetes. 2024 Aug;16(8):e13612. doi: 10.1111/1753-0407.13612.

本文引用的文献

1
4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2023.
Diabetes Care. 2023 Jan 1;46(Suppl 1):S49-S67. doi: 10.2337/dc23-S004.
2
Introduction and Methodology: Standards of Care in Diabetes-2023.
Diabetes Care. 2023 Jan 1;46(Suppl 1):S1-S4. doi: 10.2337/dc23-Sint.
4
Consistent Effects of Hypoglycemia on Cognitive Function in People With or Without Diabetes.
Diabetes Care. 2022 Sep 1;45(9):2103-2110. doi: 10.2337/dc21-2502.
5
The burden and risks of emerging complications of diabetes mellitus.
Nat Rev Endocrinol. 2022 Sep;18(9):525-539. doi: 10.1038/s41574-022-00690-7. Epub 2022 Jun 6.
9
The prevalence of mild cognitive impairment in type 2 diabetes mellitus patients: a systematic review and meta-analysis.
Acta Diabetol. 2021 Jun;58(6):671-685. doi: 10.1007/s00592-020-01648-9. Epub 2021 Jan 8.
10
Predicting preventable hospital readmissions with causal machine learning.
Health Serv Res. 2020 Dec;55(6):993-1002. doi: 10.1111/1475-6773.13586. Epub 2020 Oct 30.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验