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糖尿病患者的自主神经病变症状:日常筛查的实用工具

Autonomic neuropathic symptoms in patients with diabetes: practical tools for screening in daily routine.

作者信息

de Azevedo Vieira Ana Raquel Souza, Porto-Dantas Lara Benigno, do Prado Romani Flaviene Alves, Carvalho Patrícia Souza, Pop-Busui Rodica, Pedrosa Hermelinda Cordeiro

机构信息

Unit of Endocrinology of the Regional Hospital of Taguatinga and Research Center of the Foundation for Education and Research in Health Sciences, Secretariat of Health of the Federal District, Brasilia, Brazil.

Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

出版信息

Diabetol Metab Syndr. 2023 Apr 26;15(1):83. doi: 10.1186/s13098-023-01036-7.

Abstract

BACKGROUND

Diabetic autonomic neuropathy (DAN) is a frequent complication in people with diabetes whose screening is often neglected. This study aimed to evaluate DAN through practical tools in people with diabetes in a referral center for diabetes treatment.

METHODS

DAN symptoms and severity were assessed using the Survey of Autonomic Symptoms (SAS) via digital application (app) in patients attended from June 1, 2021, to November 12, 2021. SAS scoring for DAN was performed using established validated cutoffs. The adhesive with cobalt salt color indicator (Neuropad™) was used as a measure of sudomotor dysfunction. Demographical and clinical data were also collected.

RESULTS

Data from 109 participants, 66.9% T2DM, 73.4% female, with a median age of 54.00 (± 20.00) years, were analyzed. Symptomatic DAN was present in 69.7% of participants and was associated with older age (p = 0.002), higher HbA1c (p = 0.043), higher abdominal circumference (p = 0.019), higher BMI (p = 0.013), more likely to have metabolic syndrome (MS) with a 10-fold increased risk, and more frequent association with diabetic peripheral neuropathy (p = 0.005). Sudomotor dysfunction was found in 65 participants with positive Neuropad™ detected in 63.1% of them.

CONCLUSION

The use of SAS through an app proved to be a practical and easy-to-use instrument to document symptoms of DAN in busy clinical practice. The high frequency of symptoms draws attention to the importance of screening this underdiagnosed diabetes complication. The risk factors and comorbidities associated with symptomatic DAN highlight the patients' phenotypes linked to MS that should be targeted for DAN evaluations in larger samples in the community.

摘要

背景

糖尿病自主神经病变(DAN)是糖尿病患者常见的并发症,但其筛查常常被忽视。本研究旨在通过实用工具对一家糖尿病治疗转诊中心的糖尿病患者进行DAN评估。

方法

2021年6月1日至2021年11月12日期间就诊的患者通过数字应用程序(app)使用自主神经症状调查(SAS)评估DAN症状及严重程度。DAN的SAS评分采用既定的有效临界值。使用含钴盐颜色指示剂的粘贴片(Neuropad™)作为汗腺功能障碍的指标。同时收集人口统计学和临床数据。

结果

分析了109名参与者的数据,其中66.9%为2型糖尿病患者,73.4%为女性,中位年龄为54.00(±20.00)岁。69.7%的参与者存在有症状的DAN,且与年龄较大(p = 0.002)、糖化血红蛋白水平较高(p = 0.043)、腹围较大(p = 0.019)、体重指数较高(p = 0.013)相关,患代谢综合征(MS)的风险增加10倍,且更常伴有糖尿病周围神经病变(p = 0.005)。65名参与者存在汗腺功能障碍,其中63.1%的人Neuropad™检测呈阳性。

结论

通过应用程序使用SAS被证明是一种在繁忙临床实践中记录DAN症状的实用且易于使用的工具。症状的高发生率凸显了筛查这种诊断不足的糖尿病并发症的重要性。与有症状DAN相关的危险因素和合并症突出了与MS相关的患者表型,应在社区更大样本中针对这些表型进行DAN评估。

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