Diabetes and obesity are the main metabolic drivers of peripheral neuropathy.
Diabetes and obesity are the main metabolic drivers of peripheral neuropathy.
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DOI：
10.1002/acn3.531
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发表时间：
2018-04
影响因子：
5.3
通讯作者：
Ji L
中科院分区：
文献类型：
--
作者：
Callaghan BC;Gao L;Li Y;Zhou X;Reynolds E;Banerjee M;Pop-Busui R;Feldman EL;Ji L
在中国平谷的一个大型人群队列中确定个体代谢综合征（MetS）组分与周围神经病变之间的相关性。对来自中国平谷的参与者进行了一项横断面、随机选择、基于人群的调查。由经过培训的人员进行代谢表型和神经病变结局。根据美国糖尿病协会标准和MetS使用修改的共识标准（体重指数而不是腰围）定义Glycosidase状态。原发性周围神经病变的结果是密歇根神经病筛查仪器（MNSI）检查。次要结局是MNSI问卷和单丝测试。多变量模型用于评估个体MetS组分与周围神经病变之间的关联。使用基于树的方法，使用人口统计学和MetS组分构建周围神经病变的分类器。4002名参与者的平均（SD）年龄为51.6岁（11.8岁），51.0%为男性; 37.2%的人群血糖正常，44.0%患有糖尿病前期，18.9%患有糖尿病。周围神经病变的患病率随血糖水平的升高而升高（血糖正常组为3.25%，糖尿病前期组为6.29%，糖尿病组为15.12%，P < 0.0001）。糖尿病（比值比[OR] 2.60，95%CI 1.77-3.80）和体重（OR 1.09，95%CI 1.02-1.18）与周围神经病变显著相关。年龄、糖尿病和体重是周围神经病变分类树中的主要分裂因素。与以前的研究类似，糖尿病和肥胖是周围神经病变的主要代谢驱动因素。这些结果的一致性加强了对针对这些代谢因素的有效干预以预防和/或治疗周围神经病变的迫切需要。
To determine the associations between individual metabolic syndrome (MetS) components and peripheral neuropathy in a large population‐based cohort from Pinggu, China. A cross‐sectional, randomly selected, population‐based survey of participants from Pinggu, China was performed. Metabolic phenotyping and neuropathy outcomes were performed by trained personnel. Glycemic status was defined according to the American Diabetes Association criteria, and the MetS using modified consensus criteria (body mass index instead of waist circumference). The primary peripheral neuropathy outcome was the Michigan Neuropathy Screening Instrument (MNSI) examination. Secondary outcomes were the MNSI questionnaire and monofilament testing. Multivariable models were used to assess for associations between individual MetS components and peripheral neuropathy. Tree‐based methods were used to construct a classifier for peripheral neuropathy using demographics and MetS components. The mean (SD) age of the 4002 participants was 51.6 (11.8) and 51.0% were male; 37.2% of the population had normoglycemia, 44.0% prediabetes, and 18.9% diabetes. The prevalence of peripheral neuropathy increased with worsening glycemic status (3.25% in normoglycemia, 6.29% in prediabetes, and 15.12% in diabetes, P < 0.0001). Diabetes (odds ratio [OR] 2.60, 95% CI 1.77–3.80) and weight (OR 1.09, 95% CI 1.02–1.18) were significantly associated with peripheral neuropathy. Age, diabetes, and weight were the primary splitters in the classification tree for peripheral neuropathy. Similar to previous studies, diabetes and obesity are the main metabolic drivers of peripheral neuropathy. The consistency of these results reinforces the urgent need for effective interventions that target these metabolic factors to prevent and/or treat peripheral neuropathy.
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影响因子：
158.5
作者：
Knowler, WC;Barrett-Connor, E;Nathan, DM
通讯作者：
Nathan, DM
周围神经病变与胰岛素抵抗相关，与代谢综合征无关
影响因子：
4.8
作者：
Han L;Ji L;Chang J;Wen J;Zhao W;Shi H;Zhou L;Li Y;Hu R;Hu J;Lu B
通讯作者：
Lu B
影响因子：
5
作者：
FRANKLIN, GM;KAHN, LB;HAMMAN, RF
通讯作者：
HAMMAN, RF
影响因子：
16.2
作者：
Gregg, EW;Sorlie, P;Geiss, L
通讯作者：
Geiss, L
影响因子：
8.2
作者：
Davis, W. A.;Norman, P. E.;Davis, T. M. E.
通讯作者：
Davis, T. M. E.