Assessment of peripheral neuropathy in type 2 diabetes by diffusion tensor imaging: a case-control study

2021 ◽  
pp. 110007
Author(s):  
Xinyue Xia ◽  
Lisong Dai ◽  
Hongmei Zhou ◽  
Panpan Chen ◽  
Shuhua Liu ◽  
...  
Author(s):  
Sameer Abd AL-Majeed AL- Khawaja ◽  
Sabah Ali Jaber Al-helu ◽  
Yasir Salah Jumaa

Backgrounds: Sudomotor dysfunction is one of the earliest neurophysiologic abnormalities to manifest in distal small fiber neuropathy. SUDOSCAN ® was developed to provide a non invasive, quick, simple and quantitative measurement of sweat function. The aim of this study is to evaluate the value of SUDOSCAN in the diagnosis of neuropathy and its early detection. Methods: This is a case control study was conducted from March 2014 to December2014 on type2 diabetic patient in the center of diabetes and endocrine disease in AL-Najaf . Sweat function was evaluated by measuring the electrochemical skin conductance (ESC) of the hands and feet. Results: 100 patients with type 2 diabetes mellitus including 55 patients with peripheral neuropathy and 45 patients without peripheral neuropathy were involved in this case control study. Hands and feet conductance were lower in patients with type 2 diabetes with peripheral neuropathy when compared to patients with type 2 diabetes without neuropathy (with p value less than 0.001 for hands mean electrochemical skin conductance and feet mean electrochemical skin conductance). Conclusions: SUDOSCAN is a promising, screening tool to detect neuropathy in patients with diabetes mellites. This is a very simple test, easy-to-perform that can be done in the clinical setting in 3–5 min.


PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0220175
Author(s):  
Yen-Wei Pai ◽  
Ching-Heng Lin ◽  
Shih-Yi Lin ◽  
I-Te Lee ◽  
Ming-Hong Chang

2016 ◽  
Vol 22 ◽  
pp. 183
Author(s):  
Shahjada Selim ◽  
Shahjada Selim ◽  
Shahabul Chowdhury ◽  
Mohammad Saifuddin ◽  
Marufa Mustary ◽  
...  

2018 ◽  
Vol 13 (3) ◽  
pp. 215-221 ◽  
Author(s):  
Francesco Ursini ◽  
Salvatore D`Angelo ◽  
Emilio Russo ◽  
Giorgio Ammerata ◽  
Ludovico Abenavoli ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e044486 ◽  
Author(s):  
Per Svensson ◽  
Robin Hofmann ◽  
Henrike Häbel ◽  
Tomas Jernberg ◽  
Per Nordberg

AimsThe risks associated with diabetes, obesity and hypertension for severe COVID-19 may be confounded and differ by sociodemographic background. We assessed the risks associated with cardiometabolic factors for severe COVID-19 when accounting for socioeconomic factors and in subgroups by age, sex and region of birth.Methods and resultsIn this nationwide case–control study, 1.086 patients admitted to intensive care with COVID-19 requiring mechanical ventilation (cases), and 10.860 population-based controls matched for age, sex and district of residency were included from mandatory national registries. ORs with 95% CIs for associations between severe COVID-19 and exposures with adjustment for confounders were estimated using logistic regression. The median age was 62 years (IQR 52–70), and 3003 (24.9%) were women. Type 2 diabetes (OR, 2.3 (95% CI 1.9 to 2.7)), hypertension (OR, 1.7 (95% CI 1.5 to 2.0)), obesity (OR, 3.1 (95% CI 2.4 to 4.0)) and chronic kidney disease (OR, 2.5 (95% CI 1.7 to 3.7)) were all associated with severe COVID-19. In the younger subgroup (below 57 years), ORs were significantly higher for all cardiometabolic risk factors. The risk associated with type 2 diabetes was higher in women (p=0.001) and in patients with a region of birth outside European Union(EU) (p=0.004).ConclusionDiabetes, obesity and hypertension were all independently associated with severe COVID-19 with stronger associations in the younger population. Type 2 diabetes implied a greater risk among women and in non-EU immigrants. These findings, originating from high-quality Swedish registries, may be important to direct preventive measures such as vaccination to susceptible patient groups.Trial registration numberClinicaltrial.gov (NCT04426084).


Author(s):  
Onofre Pineda ◽  
Victoria Stepenka ◽  
Alejandra Rivas-Motenegro ◽  
Nelson Villasmil-Hernandez ◽  
Roberto Añez ◽  
...  

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