2019 ◽  
Vol 4 (1) ◽  
pp. 1-18 ◽  
Author(s):  
John Martinsson ◽  
Alexander Schliep ◽  
Björn Eliasson ◽  
Olof Mogren

AbstractMany factors affect blood glucose levels in type 1 diabetics, several of which vary largely both in magnitude and delay of the effect. Modern rapid-acting insulins generally have a peak time after 60–90 min, while carbohydrate intake can affect blood glucose levels more rapidly for high glycemic index foods, or slower for other carbohydrate sources. It is important to have good estimates of the development of glucose levels in the near future both for diabetic patients managing their insulin distribution manually, as well as for closed-loop systems making decisions about the distribution. Modern continuous glucose monitoring systems provide excellent sources of data to train machine learning models to predict future glucose levels. In this paper, we present an approach for predicting blood glucose levels for diabetics up to 1 h into the future. The approach is based on recurrent neural networks trained in an end-to-end fashion, requiring nothing but the glucose level history for the patient. Our approach obtains results that are comparable to the state of the art on the Ohio T1DM dataset for blood glucose level prediction. In addition to predicting the future glucose value, our model provides an estimate of its certainty, helping users to interpret the predicted levels. This is realized by training the recurrent neural network to parameterize a univariate Gaussian distribution over the output. The approach needs no feature engineering or data preprocessing and is computationally inexpensive. We evaluate our method using the standard root-mean-squared error (RMSE) metric, along with a blood glucose-specific metric called the surveillance error grid (SEG). We further study the properties of the distribution that is learned by the model, using experiments that determine the nature of the certainty estimate that the model is able to capture.


2019 ◽  
pp. 52-56
Author(s):  
Yu.F. Glukhov ◽  
N.V. Krutikov ◽  
A.V. Ivanov ◽  
N.P. Muravskaya

We have studied and analyzed status and metrological supervision of blood glucose monitors, individual devices for a person’s blood glucose level measurement. It has been indicated that nowadays blood glucose monitors like other individual devices for medical measurement are not allowed to be involved in telemedicine public service. This accounts for absence of metrological supervision with these measurement devices in telemedicine. In addition, the key problem is absence of safe methods and means of remote verificaition, calibration and transmission of measurement data to health care centers. The article offers a remote test method for blood glucose monitors using a number of resistors with values correlating with measured blood glucose level. The available method has been successfully trialed in real practice.


2010 ◽  
Vol 5 (2) ◽  
pp. 87
Author(s):  
Rusman Efendi ◽  
Evy Damayanthi ◽  
Lilik Kustiyah ◽  
Nastiti Kusumorini

<p class="MsoNormal" style="margin: 0cm 7.1pt 6pt 14.2pt; text-align: justify; text-indent: 1cm;"><span style="font-size: 10pt;">Diabetes mellitus is degeneratif disease with high prevalence that happens in many countries. Several studies had been done to control diabetes by using green tea, mullberry leaf  tea, and their mixture. The aim of this research was to analyze the influence of the administration green tea, mullbery leaf tea, and their mixtures to blood glucose level of diabetic rats both during 120 minutes after administration. This research had four phases, first to determine the best mullberry leaf tea, second to fourth phases respectively, determine turnover of blood glucose level on normal rats; attempt during 120 minutes on diabetic rats.  The result of research during 120 minutes have showed that blood glucose level on diabetic rats which were administered by green tea, mullberry leaf tea and their mixture is significantly difference with diabetic rats which were administered by water. Blood glucose level at baseline increased at 30<sup>th </sup>minutes and showed the difference significantly and then until 60<sup>th</sup> and 120<sup>th</sup> minutes and relatively stable. During 120 minutes after feed consumption, inhibition of blood glucose level occured increasingly on diabetic rats which were administered by green tea, mullberry leaf tea, and their mixture compared to diabetic rats which were administered by water.</span></p>


2020 ◽  
Vol 11 (4) ◽  
pp. 5067-5070
Author(s):  
Pang Jyh Chayng ◽  
Nurul Ain ◽  
Kaswandi Md Ambia ◽  
Rahim Md Noah

The purpose of this project is to study the anti-diabetic effect of on a diabetic rat model. A total of Twenty male Sprague rats were used and it randomly distributed into four groups which are Group I: , Group II: negative control, Group III: and Group IV: and . In diabetic model were induced with via injection at the dosage of 65mg/kg. and FBG (Fasting Blood Glucose) level of diabetic rats were assessed every three days. Blood was collected via cardiac puncture at day 21 after the induction of treatment. Insulin level of the rats was assessed with the Mercodia Rat Insulin ELISA kit. FBG level of group I (12.16 ±3.96, p&lt;0.05) and group IV (11.34 ±3.67, p&lt;0.05) were significantly decreased. Meanwhile, the for all rats did not show any significant increase. However, the insulin level was escalated in group IV (0.74+0.25, p&lt;0.05) significantly. The present study shows that the and the combination of and lowered blood glucose level and enhanced insulin secretion.


Author(s):  
Adel M. Aly ◽  
Ahmed S. Ali

: Glipizide (GZ) is an oral blood-glucose-lowering drug of the sulfonylurea class characterized by its poor aqueous solubility. Aiming for the production of GZ tablets with rapid onset of action followed by prolonged effect; GZ-Polyethylene glycol (PEG 4000 and 6000) solid dispersions with different ratios, (using melting and solvent evaporation method), as well as, coprecipitate containing GZ with polymethyl-methacrylate (PMMA) were prepared. Four tablet formulations were prepared containing; a) GZ alone, b) GZ: PEG6000, 1:10, c) GZ:PMMA 1:3, and, d)both GZ:PEG6000 1:10 and GZ:PMMA 1:3. The solvent evaporation method showed more enhancement of GZ solubility than the melting one, and this solubilizing effect increased with PEG increment. Generally, PEG6000 showed more enhancement of dissolution than PEG4000 especially at 1:10 drug: polymer ratio (the most enhancing formula). Also, the prepared tablet formulations showed acceptable physical properties according to USP/NF requirements. The dissolution results revealed that tablets containing PEG6000 (1:10) have the most rapid release rate, followed by the formula containing both PEG6000 and PMMA, while that including PMMA alone showed the slowest dissolution rate. Moreover, In-vivo studies for each of the above four formulations, were performed using four mice groups. The most effective formula in decreasing the blood glucose level, through the first 6 hours, was that containing GZ and PEG6000, 1:10. However, formula containing the combination of enhanced and sustained GZ was the most effective in decreasing the blood glucose level through 16 hours. Successful in-vitro in-vivo correlations could be detected between the percent released and the percent decreasing of blood glucose level after 0.5 hours.


2019 ◽  
Vol 16 (1) ◽  
pp. 40-46
Author(s):  
Rui Guo ◽  
Ruiqi Chen ◽  
Chao You ◽  
Lu Ma ◽  
Hao Li ◽  
...  

Background and Purpose: Hyperglycemia is reported to be associated with poor outcome in patients with spontaneous Intracerebral Hemorrhage (ICH), but the association between blood glucose level and outcomes in Primary Intraventricular Hemorrhage (PIVH) remains unclear. We sought to identify the parameters associated with admission hyperglycemia and analyze the impact of hyperglycemia on clinical outcome in patients with PIVH. Methods: Patients admitted to Department of Neurosurgery, West China Hospital with PIVH between 2010 and 2016 were retrospectively included in our study. Clinical, radiographic, and laboratory data were collected. Univariate and multivariate logistic regression analyses were used to identify independent predictors of poor outcomes. Results: One hundred and seventy patients were included in the analysis. Mean admission blood glucose level was 7.78±2.73 mmol/L and 10 patients (5.9%) had a history of diabetes mellitus. History of diabetes mellitus (P = 0.01; Odds Ratio [OR], 9.10; 95% Confidence Interval [CI], 1.64 to 50.54) was independent predictor of admission critical hyperglycemia defined at 8.17 mmol/L. Patients with admission critical hyperglycemia poorer outcome at discharge (P < 0.001) and 90 days (P < 0.001). After adjustment, admission blood glucose was significantly associated with discharge (P = 0.01; OR, 1.30; 95% CI, 1.06 to 1.59) and 90-day poor outcomes (P = 0.03; OR, 1.27; 95% CI, 1.03 to 1.58), as well as mortality at 90 days (P = 0.005; OR, 1.41; 95% CI, 1.11 to 1.78). In addition, admission critical hyperglycemia showed significantly increased the incidence rate of pneumonia in PIVH (P = 0.02; OR, 6.04; 95% CI 1.27 to 28.80) even after adjusting for the confounders. Conclusion: Admission blood glucose after PIVH is associated with discharge and 90-day poor outcomes, as well as mortality at 90 days. Admission hyperglycemia significantly increases the incidence rate of pneumonia in PIVH.


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