Closed loop control of blood glucose level with neural network predictor for diabetic patients

Author(s):  
Samuel Oludare Bamgbose ◽  
Xiangfang Li ◽  
Lijun Qian
2020 ◽  

Background and Objectives: Diabetes is one of the most rampant chronic diseases that is accompanied by numerous psychological problems. The present study aimed to compare the effectiveness of compassion-focused therapy (CFT) and attachment-based compassion therapy (ABCT) on blood glucose level and medication adherence in diabetic patients. Materials and Methods: This quasi-experimental study was conducted based on a pretest and posttest design. At first, using the available voluntary sampling method, a number of 45 individuals were selected from 300 diabetic patients referred to Alborz Diabetes Association, Alborz, Iran. They were randomly divided into two experimental and one control groups. At the outset, in addition to the hemoglobin (Hb) A1c blood test, they completed a medication adherence questionnaire. Afterward, the first experimental group participated in eight two-h sessions of the compassionate therapy training course, and the second experimental group participated in 10 90-min sessions of the ABCT training course. All three groups received standard treatment for diabetic patients. At the end of the treatment, the HbA1c levels of blood in all three groups were re-evaluated, and again all patients completed the medication adherence questionnaire at the post-test stage. It should be mentioned that the collected data were analyzed using the analysis of covariance. Results: Based on the results, CFT and ABCT could reduce blood glucose level (HbA1c) (F=5.13, P<0.008, Eta= 0.20) and increase medication adherence (F=2.82, P<0.035, Eta= 0.12) in both of the experimental groups. Conclusion: The CFT and ABCT can be effective in improving medication adherence and blood glucose control (HbA1c) in diabetic patients. Therefore, it is suggested to provide such training together with other medical interventions as part of comprehensive therapy of diabetes.


2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Riyan Al Islam Reshad ◽  
Sumaiya Hafiz Riana ◽  
Mohammad Al-baruni Chowdhury ◽  
Abu Tayab Moin ◽  
Faruque Miah ◽  
...  

Abstract Background The recent pandemic of coronavirus disease 19 (COVID-19) has been causing intense stress among the global population. In the case of hospitalized and ICU-admitted COVID-19 patients with comorbidities, it has been observed that a major portion of them are diabetic. Therefore, researchers had indicated a link between diabetes mellitus (DM) and COVID-19. Furthermore, DM is a potential risk factor for the severity of COVID-19 cases. Thus, in this study, the correlation existing between diabetic patients and COVID-19 was summarized. Main body of the abstract Diabetic patients have a weaker immune system, less viral clearance rate, malfunctions of metabolic activity due to their high blood glucose level, and other associated problems. This does not increase the susceptibility for the patients to be infected with COVID-19. However, the severity of COVID-19 can worsen due to the comorbidity of DM. Short conclusion Proper management, appropriate use of drugs that do not increase the ACE2 expression, lowering blood glucose level, decreasing the susceptibility of SARS-CoV-2, and maintaining a healthy lifestyle could be effective.


Author(s):  
I. Iwanegbe ◽  
M. Suleiman ◽  
A. Jimah

Aims: To investigate the effect of food blends (plantain, soybean and ginger) on the blood glucose, lipid profile and haematological indices on streptozotocin induced diabetic rats. Methodology: A total of 35 rats of mean body weight 219.07 g separated into7 groups (5 per group) where induced by a single intraperitoneal (I.P) injection of streptozotocin (0.1 g dissolved in 5 ml of freshly prepared sodium citrate buffer 0.1 M, pH 4.5) at a dose of 40 mg/kg body weight after fasting for 12 hours and fed with flours/blends. The flours were produced from plant materials for different treatments/blends (blend A=100% unripe plantain, B=80% unripe plantain, 14% soybean, 6% ginger, C=70% unripe plantain, 26% soybean, 4% ginger, D= 60% unripe plantain, 38% soybean, 2% ginger, E= 50% unripe plantain, 50% soybean) and the phytochemicals and minerals content were determined. Blood glucose was determined at 5 days interval for 25 days. Diabetes was confirmed in rats with blood glucose concentrations >200 mg/dl. After 25 days rats were anaesthetized with chloroform vapour and blood samples collected by cardiac puncture for haematology and lipid profile determination. Results: The results showed that unripe plantain, soya beans and ginger in adequate proportion(C=70% unripe plantain, 26% soybean, 4% ginger or D= 60% unripe plantain, 38% soybean, 2% ginger) could help to reduce blood glucose, improve haematological parameters and lipid profile. Significant reduction was observed in the blood glucose level of rats fed blends C and D from 286 to 85 mg/dl and 307 to 90 mg/dl respectively at the end of experiment. These results also demonstrated that the inclusion of ginger at 6% causes rise in blood glucose level. Total cholesterol (TC) increased in all the blends. However, the lowest concentration of TC was observed in blends C and D. The highest packed cell volume (60%) and Haemoglobin (20 g/dl) level observed in rats fed blend C was significantly higher than the normal control fed conventional feeds. The increase in packed cell volume (PCV) (50%) and Hb (17 g/dl) in diabetic rats demonstrated that the formulated blend C was able to raise PCV and Hb above 50% and 17 g/dl (Normal control NC) respectively. Significant increase (P<0.05) in low density lipoprotein cholesterol (LDLc) was also observed in all the blends with blend C having the least (4.0 mg/dl) close to NC (2.0 mg/dl). Conclusion: From the results it is evident that blend C will manage and improve the health status of diabetic patients.


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