Prevalence and correlates of vibration perception threshold based diabetic peripheral neuropathy in Gujarati urban population: A cross sectional study

古吉拉特邦城市人口中基于振动感知阈值的糖尿病周围神经病变患病率及相关因素:一项横断面研究

阅读:1

Abstract

BACKGROUND: Diabetic peripheral neuropathy (DPN) is common microvascular complication with lack of data from many regions. Vibration perception threshold (VPT) is an objective tool to screen vibration-based neuropathy both quantitatively and qualitatively. We studied prevalence that correlates VPT in diabetic sample population. METHODS: A cross-sectional study was performed in 100 under treatment urban type 2 diabetics. Using bioesthesiometer, we tested VPT from sole of lower limbs of each participant. VPT >25 was considered as DPN. VPT was further correlated to determinants using t test, chi square, and multiple linear regressions. P < 0.05 was taken as statistically significant. RESULTS: Mean age was 57, mean duration was 9.42 years, 40% were good glycemic, 28% were symptomatic for neuropathy, half subjects had co-existing hypertension and positive family history. VPT >25 was prevalent in 38% participants and mild, moderate, severe grades of DPN were present in 10%, 20%, 38%, respectively. VPT was associated with all three measures of glycemic control both quantitatively and qualitatively imposing significant odds risk (3.45, 2.63, 3.63 for HbA1C, FPG, 2hPG, respectively). Presence of symptoms, duration, and family history were significant predictors of VPT, whereas age, gender, hypertension, hyperlipidemia, and glycemic control were not. CONCLUSION: In chronic type 2 diabetics from a city Gujarat, we report 38% prevalence of DPN, related to symptoms, duration, family history, and all measures of glycemic triad. Unrelated to age and gender, VPT is superior to symptoms to detect DPN and it should be used optimally to insinuate timely preventive measures.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。