Photo-enhanced Acetone Adsorption on δ-MnO2 Nanoparticles: A Step towards Non-invasive Detection of Diabetes Mellitus

2021 ◽  
pp. 130944
Author(s):  
Vigneshwaran Mohan ◽  
Gobinath Marappan ◽  
David Chidambaram ◽  
Kumaresan Rajendran ◽  
Velappa Jayaraman Surya ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Non Invasive ◽  
Acetone Adsorption ◽  
Mno2 Nanoparticles

Glucose Calibration Modeling in Blood with Spline Regression Approaching to Non-Invasive Tools

2018 ◽  
pp. 144-149
Author(s):  
Ria Hayatun Nur ◽  
Indahwati A ◽  
Erfiani A
Keyword(s):  
Diabetes Mellitus ◽  
Linear Regression ◽  
Good Health ◽  
Cubic Spline ◽  
The Body ◽  
Spline Regression ◽  
Linear Quadratic ◽  
Important Thing ◽  
Non Invasive

In this globalization era, health is the most important thing to be able to run various activities. Without good health, this will hinder many activities. Diabetes mellitus is one of the diseases caused by unhealty lifestyle.There are many treatments that can be done to prevent the occurrence of diabetes. The treatments are giving the insulin and also checking the glucose rate to the patients.Checking the glucose rate needs the tools which is safety to the body. This research want to develop non invasive tool which is safety and do not injure the patient. The purpose of this research is also finding the best model which derived from Linear, Quadratic, and Cubic Spline Regression. Some respondents were taking to get the glucose measuring by invasive and non invasive tools. It could be seen clearly that Spline Linear Regression was the best model than Quadratic and Cubic Spline Regression. It had 70% and 33.939 for R2 and RMSEP respectively.

scholarly journals Exhaled volatile substances in children suffering from type 1 diabetes mellitus: results from a cross-sectional study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Phillip Trefz ◽  
Juliane Obermeier ◽  
Ruth Lehbrink ◽  
Jochen K. Schubert ◽  
Wolfram Miekisch ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Metabolic Control ◽  
Cross Sectional Study ◽  
Healthy Controls ◽  
Sectional Study ◽  
Cross Sectional ◽  
Non Invasive

Abstract Monitoring metabolic adaptation to type 1 diabetes mellitus in children is challenging. Analysis of volatile organic compounds (VOCs) in exhaled breath is non-invasive and appears as a promising tool. However, data on breath VOC profiles in pediatric patients are limited. We conducted a cross-sectional study and applied quantitative analysis of exhaled VOCs in children suffering from type 1 diabetes mellitus (T1DM) (n = 53) and healthy controls (n = 60). Both groups were matched for sex and age. For breath gas analysis, a very sensitive direct mass spectrometric technique (PTR-TOF) was applied. The duration of disease, the mode of insulin application (continuous subcutaneous insulin infusion vs. multiple daily insulin injection) and long-term metabolic control were considered as classifiers in patients. The concentration of exhaled VOCs differed between T1DM patients and healthy children. In particular, T1DM patients exhaled significantly higher amounts of ethanol, isopropanol, dimethylsulfid, isoprene and pentanal compared to healthy controls (171, 1223, 19.6, 112 and 13.5 ppbV vs. 82.4, 784, 11.3, 49.6, and 5.30 ppbV). The most remarkable differences in concentrations were found in patients with poor metabolic control, i.e. those with a mean HbA1c above 8%. In conclusion, non-invasive breath testing may support the discovery of basic metabolic mechanisms and adaptation early in the progress of T1DM.

scholarly journals Non-invasive assessment of vibration perception and protective sensation in people with diabetes mellitus: inter- and intra-rater reliability

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Sean Michael Lanting ◽  
Martin Jeremy Spink ◽  
Peta Ellen Tehan ◽  
Stephanie Vickers ◽  
Sarah Louise Casey ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Rater Reliability ◽  
Non Invasive ◽  
Protective Sensation ◽  
Vibration Perception

scholarly journals Diabetes risk score in the United Arab Emirates: a screening tool for the early detection of type 2 diabetes mellitus

2018 ◽  
Vol 6 (1) ◽  
pp. e000489 ◽  
Author(s):  
Nabil Sulaiman ◽  
Ibrahim Mahmoud ◽  
Amal Hussein ◽  
Salah Elbadawi ◽  
Salah Abusnana ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
United Arab Emirates ◽  
Risk Score ◽  
Family History Of Diabetes ◽  
Non Invasive

ObjectiveThe objective of this study was to develop a simple non-invasive risk score, specific to the United Arab Emirates (UAE) citizens, to identify individuals at increased risk of having undiagnosed type 2 diabetes mellitus.Research design and methodsA retrospective analysis of the UAE National Diabetes and Lifestyle data was conducted. The data included demographic and anthropometric measurements, and fasting blood glucose. Univariate analyses were used to identify the risk factors for diabetes. The risk score was developed for UAE citizens using a stepwise forward regression model.ResultsA total of 872 UAE citizens were studied. The overall prevalence of diabetes in the UAE adult citizens in the Northern Emirates was 25.1%. The significant risk factors identified for diabetes were age (≥35 years), a family history of diabetes mellitus, hypertension, body mass index ≥30.0 and waist-to-hip ratio ≥0.90 for males and ≥0.85 for females. The performance of the model was moderate in terms of sensitivity (75.4%, 95% CI 68.3 to 81.7) and specificity (70%, 95% CI 65.8 to 73.9). The area under the receiver-operator characteristic curve was 0.82 (95% CI 0.78 to 0.86).ConclusionsA simple, non-invasive risk score model was developed to help to identify those at high risk of having diabetes among UAE citizens. This score could contribute to the efficient and less expensive earlier detection of diabetes in this high-risk population.

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