Total Body Adiposity, Triglycerides, and Leg Fat are Independent Risk Factors for Diabetic Peripheral Neuropathy in Chinese Patients with type 2 Diabetes Mellitus

Zhen, Qianna; Yao, Ning; Chen, Xiangjun; Zhang, Xiaoru; Wang, Zhihong; Ge, Qian

doi:10.4158/ep-2018-0459

Cited by 19 publications

(23 citation statements)

References 25 publications

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“…Therefore, obese patients with T2DM are more likely to suffer from DPN. In the study by Zhen et al [ 27 ], the prevalence of DPN was 62.62% in obese patients with T2DM and 46.99% in patients with T2DM presenting a normal weight. The prevalence of DPN was significantly different between the two groups [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

“…In the study by Zhen et al [ 27 ], the prevalence of DPN was 62.62% in obese patients with T2DM and 46.99% in patients with T2DM presenting a normal weight. The prevalence of DPN was significantly different between the two groups [ 27 ]. The possible pathogenic mechanism is that the obese patients are too heavy, which increases the pressure on the sole of the foot.…”

Section: Discussionmentioning

confidence: 99%

“…Another group survey also described an association of HbA1c with DPN in patients with diabetes [ 26 ]. A study of 388 T2DM patients identified a positive correlation between HbA1c and DPN by performing a multivariate logistic regression analysis [ 27 ]. Under normal conditions, the human body can maintain a certain blood sugar level through hormonal and nerve regulation, but under the joint actions of genetic factors and environmental factors (such as an unreasonable diet, obesity, etc.…”

Section: Discussionmentioning

confidence: 99%

“…A higher TG correlates with a greater risk [ 15 ]. According to another study, hypertriglyceridemia is an independent risk factor for DPN in obese T2DM patients [ 27 ]. Three different groups of subjects were analyzed in a study conducted in Taiwan using the percussion impact entropy index (PEIppi).…”

Section: Discussionmentioning

confidence: 99%

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Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model

Niu

2021

Diabetes Metab J

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Background: Diabetic peripheral neuropathy (DPN) is one of the most serious complications of type 2 diabetes mellitus (T2DM). DPN increases the risk of ulcers, foot infections, and noninvasive amputations, ultimately leading to long-term disability.Methods: Seven hundred patients with T2DM were investigated from 2013 to 2017 in the Sanlin community by obtaining basic data from the electronic medical record system (EMRS). From September 2018 to July 2019, 681 patients (19 missing) were investigated using a questionnaire, physical examination, biochemical index test, and follow-up Toronto clinical scoring system (TCSS) test. Patients with a TCSS score ≥6 points were diagnosed with DPN. After removing missing values, 612 patients were divided into groups in a 3:1 ratio for external validation. Using different Lasso analyses (misclassification error, mean squared error, –2log-likelihood, and area under curve) and a logistic regression analysis of the training set, models A, B, C, and D were established. The receiver operating characteristic (ROC) curve, calibration plot, dynamic component analysis (DCA) measurements, net classification improvement (NRI) and integrated discrimination improvement (IDI) were used to validate discrimination and clinical practicality of the model.Results: Through data analysis, model A (containing four factors), model B (containing five factors), model C (containing seven factors), and model D (containing seven factors) were built. After calibration, ROC curve, DCA, NRI and IDI, models C and D exhibited better accuracy and greater predictive power.Conclusion: Four prediction models were established to assist with the early screening of DPN in patients with T2DM. The influencing factors in model C and D are more important factors for patients with T2DM diagnosed with DPN.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model

Niu

2021

Diabetes Metab J

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“…For example, total body adiposity and blood triglyceride levels are strong independent risk factors for DPN and have been associated with nerve CSA in DM patients, which increases with the severity of DPN. [58][59][60] Therefore, it is necessary to quantify the ultrasonic morphology of nerves to improve the accuracy of HRU in diagnosing DPN. At present, most research is limited to the quantitative study of the CSAs of nerves; an overall quantitative scoring system of various ultrasound evaluation indexes remains lacking.…”

Section: A New Sonographic Scoring System In Chinamentioning

confidence: 99%

Application of High-Resolution Ultrasound on Diagnosing Diabetic Peripheral Neuropathy

Huang¹,

Wu²

2021

DMSO

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Diabetic peripheral neuropathy (DPN) is a common complication of diabetes mellitus (DM). The typical manifestation is a length-dependent "glove and sock" sensation. At present, diagnosis is mainly dependent on clinical manifestations. Since the pathogenesis is not clear, there are no effective treatment measures. Management consists mainly of glucose control, peripheral nerve nutrition, and other measures to delay the progress of the disease; early diagnosis is therefore crucial to improving prognosis and quality of life for patients with DPN. Due to the lack of obvious symptoms in 50% of patients and the low sensitivity of neuro-electrophysiology to small fibers, the missed diagnosis rate is high. Highresolution ultrasound (HRU), as a convenient noninvasive tool, has been proven by many studies to have excellent clinical value in diagnosing DPN. With the development of related new technology, HRU shows promise for the screening, diagnosing, and follow-up of DPN, which could serve as a biomarker and provide new diagnostic insights. In this paper, we review the ability of HRU to detect nerve cross-sectional area and blood flow, and echo and other image changes, and in showing the characteristics of peripheral nerve morphological changes in patients with DPN. We also explore the application of two other recent technological developments-shear wave elastography (SWE) and ultrasound scoring systems-in improving the diagnostic efficiency of HRU in peripheral neuropathy.

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TNF-α levels, hypertension, glycated hemoglobin, and lower limb pain are predictors of diabetic neuropathy

Lima

Stival²,

Funghetto³

et al. 2023

Int J Diabetes Dev Ctries

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Total Body Adiposity, Triglycerides, and Leg Fat are Independent Risk Factors for Diabetic Peripheral Neuropathy in Chinese Patients with type 2 Diabetes Mellitus

Cited by 19 publications

References 25 publications

Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model

Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model

Application of High-Resolution Ultrasound on Diagnosing Diabetic Peripheral Neuropathy

TNF-α levels, hypertension, glycated hemoglobin, and lower limb pain are predictors of diabetic neuropathy

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