Open AccessDiabetes and obesity are the main metabolic drivers of peripheral neuropathy
Author(s) -
Callaghan Brian C.,
Gao LeiLi,
Li Yufeng,
Zhou Xianghai,
Reynolds Evan,
Banerjee Mousumi,
PopBusui Rodica,
Feldman Eva L.,
Ji Lig
Publication year - 2018
Publication title -
annals of clinical and translational neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.824
H-Index - 42
ISSN - 2328-9503
DOI - 10.1002/acn3.531
Subject(s) - medicine , prediabetes , peripheral neuropathy , diabetes mellitus , population , body mass index , waist , odds ratio , obesity , metabolic syndrome , glycemic index , glycemic , type 2 diabetes , endocrinology , environmental health
Objective To determine the associations between individual metabolic syndrome (MetS) components and peripheral neuropathy in a large population‐based cohort from Pinggu, China. Methods 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. Results 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. Interpretation 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.