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血管因素可预测非糖尿病人群中的多发性神经病。

Vascular factors predict polyneuropathy in a non-diabetic elderly population.

机构信息

Institute of Neurosciences, Italian National Research Council, Florence, Via Madonna del Piano, 10, Sesto Fiorentino (Firenze), Italy.

出版信息

Neurol Sci. 2013 Jun;34(6):955-62. doi: 10.1007/s10072-012-1167-x. Epub 2012 Aug 15.

Abstract

We prospectively examined whether vascular factors are related to an increased incidence of Chronic Idiopathic Distal Symmetric Neuropathy (CI-DSN) in a non-diabetic elderly population. In 8 Italian municipalities, 2,512 men and women without both diabetes and CI-DSN at baseline are examined. Potential effect of vascular factors was estimated by regressing new onset CI-DSN on the occurrence of several vascular diseases and risk factors. Multivariate relative risks of CI-DSN were estimated by Cox proportional hazards models. After 3.8 (±2.4) years of follow-up, we documented 51 incident CI-DSN cases. At univariate analysis, age, comorbidity, waist circumference, leg length, peripheral artery disease, and coronary heart disease proved to increase the risk of developing CI-DSN. By multivariate analyses, only age (RR = 1.08; 95 % CI, 1.02-1.14), leg length (RR = 1.05; 95 % CI, 1.01-1.1) and peripheral artery disease (RR = 2.75; 95 % CI, 1.15-6.56) proved significant predictors of CI-DSN. Separate analyses by gender show that age is an independent predictor of CI-DSN both in men and in women, while PAD predicts the disease only in men, together with body height. Incidence of CI-DSN is higher in individuals carrying vascular conditions. In men, the presence at baseline of peripheral artery disease is associated with a threefold increase in the risk of developing CI-DSN. The incidence of neuropathy in non-diabetic individuals is associated with potentially modifiable vascular factors.

摘要

我们前瞻性地研究了血管因素是否与非糖尿病老年人群中慢性特发性远端对称性神经病(CI-DSN)发病率的增加有关。在 8 个意大利城市,在基线时既没有糖尿病也没有 CI-DSN 的 2512 名男性和女性接受了检查。通过回归几种血管疾病和危险因素来估计血管因素的潜在影响。通过 Cox 比例风险模型估计 CI-DSN 的多变量相对风险。经过 3.8(±2.4)年的随访,我们记录了 51 例新发 CI-DSN 病例。在单变量分析中,年龄、合并症、腰围、腿长、外周动脉疾病和冠心病证明会增加发生 CI-DSN 的风险。通过多变量分析,只有年龄(RR=1.08;95%CI,1.02-1.14)、腿长(RR=1.05;95%CI,1.01-1.1)和外周动脉疾病(RR=2.75;95%CI,1.15-6.56)被证明是 CI-DSN 的显著预测因素。按性别进行的单独分析表明,年龄是 CI-DSN 的独立预测因素,无论是在男性还是女性中,而 PAD 仅在男性中预测该疾病,同时还预测身高。患有血管疾病的个体发生 CI-DSN 的风险较高。在男性中,基线时存在外周动脉疾病与发生 CI-DSN 的风险增加三倍相关。非糖尿病个体中神经病变的发生率与潜在可改变的血管因素相关。

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