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评估糖尿病多发性神经病的严重程度有助于预测未治疗糖尿病患者发生糖尿病并发症的风险。

Assessment of the severity of diabetic polyneuropathy aids in predicting the risk of developing diabetic complications in patients with untreated diabetes.

机构信息

Department of Diabetes and Endocrine Medicine, Kagoshima City Hospital, Kagoshima, Japan.

Department of Diabetes and Endocrine Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.

出版信息

Front Endocrinol (Lausanne). 2024 Mar 15;15:1380970. doi: 10.3389/fendo.2024.1380970. eCollection 2024.

DOI:10.3389/fendo.2024.1380970
PMID:38559690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10978669/
Abstract

This study aimed to determine the efficacy of assessing the severity of diabetic polyneuropathy (DPN) in patients with untreated diabetes. Seventy-two patients with untreated type 2 diabetes who were hospitalized for glycemic control were enrolled and divided into the following two groups: patients who had no prior diagnosis and patients who were unattended or had discontinued treatment. Electrophysiological criteria consistent with Baba's classification were used to diagnose and assess the severity of DPN. The patients were divided into three subgroups: no DPN (stage 0), mild DPN (stage 1), and moderate or more-severe DPN (stages 2-4). Intergroup comparisons were performed for the clinical characteristics and the results of the nerve conduction studies. Twenty-two (30%), 25 (35%), and 25 (35%) patients were categorized into the no DPN, mild DPN, and moderate or more-severe DPN subgroups, respectively. The number of patients who were unattended or had discontinued treatment in the moderate or more-severe DPN subgroup was significantly higher than that in the no DPN subgroup. The patients in the moderate or more-severe DPN subgroup had an increased risk of developing diabetic retinopathy and nephropathy, with odds ratios of 19.5 and 11.0 for advanced stages of retinopathy and nephropathy, respectively. Thus, the assessment of the severity of DPN could aid in the prediction of the risk of developing diabetic complications in patients with untreated diabetes.

摘要

本研究旨在确定评估未经治疗的糖尿病患者糖尿病多发性神经病变(DPN)严重程度的疗效。将 72 名因血糖控制而住院的未经治疗的 2 型糖尿病患者纳入并分为以下两组:未经诊断的患者和未经治疗或已停药的患者。采用与 Baba 分类一致的电生理标准来诊断和评估 DPN 的严重程度。患者分为三组:无 DPN(0 期)、轻度 DPN(1 期)和中度或更严重的 DPN(2-4 期)。对临床特征和神经传导研究结果进行组间比较。分别有 22 名(30%)、25 名(35%)和 25 名(35%)患者被归入无 DPN、轻度 DPN 和中度或更严重 DPN 亚组。中度或更严重 DPN 亚组中未经治疗或已停药的患者人数明显高于无 DPN 亚组。中度或更严重 DPN 亚组的患者发生糖尿病视网膜病变和肾病的风险增加,其晚期视网膜病变和肾病的比值比分别为 19.5 和 11.0。因此,评估 DPN 的严重程度有助于预测未经治疗的糖尿病患者发生糖尿病并发症的风险。

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本文引用的文献

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Association between sarcopenia and the severity of diabetic polyneuropathy assessed by nerve conduction studies in Japanese patients with type 2 diabetes mellitus.日本 2 型糖尿病患者神经传导研究评估的肌少症与糖尿病多发性神经病严重程度的相关性。
J Diabetes Investig. 2022 Aug;13(8):1357-1365. doi: 10.1111/jdi.13788. Epub 2022 Mar 21.
2
Alterations of retinal thickness measured by optical coherence tomography correlate with neurophysiological measures in diabetic polyneuropathy.光学相干断层扫描测量的视网膜厚度变化与糖尿病多发性神经病的神经生理学测量相关。
J Diabetes Investig. 2021 Aug;12(8):1430-1441. doi: 10.1111/jdi.13476. Epub 2020 Dec 30.
3
Point-of-care nerve conduction device predicts the severity of diabetic polyneuropathy: A quantitative, but easy-to-use, prediction model.即时神经传导设备预测糖尿病多发性神经病的严重程度:一种定量但易于使用的预测模型。
J Diabetes Investig. 2021 Apr;12(4):583-591. doi: 10.1111/jdi.13386. Epub 2020 Sep 14.
4
Lumos for the long trail: Strategies for clinical diagnosis and severity staging for diabetic polyneuropathy and future directions.导光索通往长径:糖尿病性多发性神经病的临床诊断和严重程度分期策略及未来方向。
J Diabetes Investig. 2020 Jan;11(1):5-16. doi: 10.1111/jdi.13173. Epub 2019 Dec 1.
5
Validity and reliability of a point-of-care nerve conduction device in diabetes patients.在糖尿病患者中即时神经传导装置的有效性和可靠性。
J Diabetes Investig. 2019 Sep;10(5):1291-1298. doi: 10.1111/jdi.13007. Epub 2019 Feb 8.
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7
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