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  • Meeting abstract
  • Open Access

Peripheral polyneuropathy in severely obese patients with metabolic syndrome but without diabetes: association with high blood pressure, bmi and low HDL-cholesterol

  • 1Email author,
  • 1,
  • 1 and
  • 1
Diabetology & Metabolic Syndrome20157 (Suppl 1) :A112

https://doi.org/10.1186/1758-5996-7-S1-A112

  • Published:

Keywords

  • Blood Pressure
  • Obesity
  • Metabolic Syndrome
  • Obese Patient
  • Waist Circumference

Background

Peripheral polyneuropathy (PPN) related to diabetes has been reported in association with causal factors such as obesity, hypertriglyceridemia, systemic arterial hypertension (SAH) and metabolic syndrome (MS), changes which frequently precede diabetes. To evaluate the prevalence of PPN in subjects with grade 2 and 3 obesity with MS without diabetes and to investigate for possible associating factors.

Materials and methods

A cross-sectional study performed with grade 2 and 3 obese subjects with MS and without a diagnosis of diabetes using the Michigan Neuropathy Screening Instrument (MNSI) to assess the presence of PPN. Results: A total of 46 of 218 obese patients grade 2 and 3 with MS and without diabetes had PPN. From the variables studied, SAH (p=0.003), mean blood pressure (MBP) (p<0.001), low HDL-cholesterol (p=0.011), serum levels of HDL-cholesterol (p=0.048), BMI (p=0.036) and waist circumference (p=0.035) were significantly associated with PPN. There was a tendency for serum triglyceride levels (p=0.107) to associate with the presence of PPN. After multivariate regression, SAH, low HDL-cholesterol, BMI and waist circumference remained independently associated.

Conclusion

Low levels of HDL-cholesterol, hypertension and increase of BMI and waist circumference are associated with PPN defined by the MNSI in patients with severe obesity and metabolic syndrome but without diabetes.

Authors’ Affiliations

(1)
Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazilx

Copyright

© Nienov et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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