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Small and large fiber sensory polyneuropathy in type 2 diabetes: Influence of diagnostic criteria on neuropathy subtypes
Journal of the Peripheral Nervous System ( IF 3.9 ) Pub Date : 2020-12-09 , DOI: 10.1111/jns.12424
Mustapha Itani 1, 2 , Sandra Sif Gylfadottir 3, 4 , Thomas Krøigård 1, 2 , Alexander Gramm Kristensen 5 , Diana Hedevang Christensen 6 , Pall Karlsson 3, 7 , Sören Möller 8 , Henning Andersen 4 , Hatice Tankisi 5 , Jens Steen Nielsen 9 , Troels Staehelin Jensen 3, 4 , Reimar Wernich Thomsen 6 , Nanna Brix Finnerup 3, 4 , Søren Hein Sindrup 1, 2
Affiliation  

Diabetic polyneuropathy (DPN) can be classified based on fiber diameter into three subtypes: small fiber neuropathy (SFN), large fiber neuropathy (LFN), and mixed fiber neuropathy (MFN). We examined the effect of different diagnostic models on the frequency of polyneuropathy subtypes in type 2 diabetes patients with DPN. This study was based on patients from the Danish Center for Strategic Research in Type 2 Diabetes cohort. We defined DPN as probable or definite DPN according to the Toronto Consensus Criteria. DPN was then subtyped according to four distinct diagnostic models. A total of 277 diabetes patients (214 with DPN and 63 with no DPN) were included in the study. We found a considerable variation in polyneuropathy subtypes by applying different diagnostic models independent of the degree of certainty of DPN diagnosis. For probable and definite DPN, the frequency of subtypes across diagnostic models varied from: 1.4% to 13.1% for SFN, 9.3% to 21.5% for LFN, 51.4% to 83.2% for MFN, and 0.5% to 14.5% for non‐classifiable neuropathy (NCN). For the definite DPN group, the frequency of subtypes varied from: 1.6% to 13.5% for SFN, 5.6% to 20.6% for LFN, 61.9% to 89.7% for MFN, and 0.0% to 6.3% for NCN. The frequency of polyneuropathy subtypes depends on the type and number of criteria applied in a diagnostic model. Future consensus criteria should clearly define sensory functions to be tested, methods of testing, and how findings should be interpreted for both clinical practice and research purpose.

中文翻译:

2 型糖尿病中小纤维和大纤维感觉多发性神经病:诊断标准对神经病亚型的影响

糖尿病性多发性神经病(DPN)可根据纤维直径分为三个亚型:小纤维神经病(SFN)、大纤维神经病(LFN)和混合纤维神经病(MFN)。我们检查了不同诊断模型对 DPN 2 型糖尿病患者多发性神经病亚型频率的影响。本研究基于丹麦 2 型糖尿病战略研究中心的患者。我们根据多伦多共识标准将 DPN 定义为可能的或确定的 DPN。然后根据四种不同的诊断模型对 DPN 进行亚型。该研究共包括 277 名糖尿病患者(214 名患有 DPN,63 名没有 DPN)。通过应用独立于 DPN 诊断确定性程度的不同诊断模型,我们发现多发性神经病亚型存在相当大的差异。对于可能和确定的 DPN,跨诊断模型的亚型频率不等:SFN 为 1.4% 至 13.1%,LFN 为 9.3% 至 21.5%,MFN 为 51.4% 至 83.2%,以及不可分类的 0.5% 至 14.5%神经病(NCN)。对于确定的 DPN 组,亚型的频率从:SFN 的 1.6% 至 13.5%、LFN 的 5.6% 至 20.6%、MFN 的 61.9% 至 89.7% 和 NCN 的 0.0% 至 6.3%。多发性神经病亚型的频率取决于诊断模型中应用的标准的类型和数量。未来的共识标准应该明确定义要测试的感觉功能、测试方法以及如何为临床实践和研究目的解释结果。5% 不可分类的神经病 (NCN)。对于确定的 DPN 组,亚型的频率从:SFN 的 1.6% 至 13.5%、LFN 的 5.6% 至 20.6%、MFN 的 61.9% 至 89.7% 和 NCN 的 0.0% 至 6.3%。多发性神经病亚型的频率取决于诊断模型中应用的标准的类型和数量。未来的共识标准应该明确定义要测试的感觉功能、测试方法以及如何为临床实践和研究目的解释结果。5% 不可分类的神经病 (NCN)。对于确定的 DPN 组,亚型的频率从:SFN 的 1.6% 至 13.5%、LFN 的 5.6% 至 20.6%、MFN 的 61.9% 至 89.7% 和 NCN 的 0.0% 至 6.3%。多发性神经病亚型的频率取决于诊断模型中应用的标准的类型和数量。未来的共识标准应该明确定义要测试的感觉功能、测试方法以及如何为临床实践和研究目的解释结果。
更新日期:2020-12-09
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