Revitalization of thiazolidinedione the optimum agents to be combined with SGLT 2 inhibitors to optimize glycemic control and reduce cardiovascular mortality: randomized control trial

Background: Type 2 diabetes mellitus (T2DM) significantly increases morbidity and mortality from cardiovascular disease. The present study was conducted to know the effect of thiazolidinedione and SGLT2 inhibitor on glycemic control, blood pressure and lipid profile and effect on cardiovascular mortality in T2DM. Methods: A total 80 patients of aged ≥40 years with T2DM were included and divided into 4 groups based on ongoing treatment i.e., (lifestyle modification + Tab metformin 500mg BD) + 1) Tab metformin 500mg; 2) Tab dapagliflozin 10mg OD; 3) Tab pioglitazone 15mg OD; 4) Tab pioglitazone 15mg OD + Tab Dapagliflozin 10mg OD. Results: The change in FBS, PLBS and HbA1C from pre-intervention to post-intervention was highest in the patients with DAPA + pioglitazone group followed by patients with pioglitazone group then the patients with DAPA group and lowest in patients with metformin group. There was a statistically significant difference between them, (p<0.001). The weight reduction was highest in the patients with DAPA 10mg group followed by patients with metformin group, (p<0.001). The change in SBP, DBP and change in lipid profile (triglyceride and cholesterol, LDL and HDL) from pre-intervention to post-intervention was highest in the patients with DAPA+ pioglitazone group. This change was statistically significant (p<0.001). Conclusions: The combination of pioglitazone and dapagliflozin not only helped in glycemic control but also had reduction in blood pressures, improvement in the lipid profile and caused slight weight reduction. There were no major adverse drug reactions, and no MACE was observed during the study. Hence this combination of pioglitazone and dapagliflozin may reduce the cardiovascular mortality (which needs longer duration study)

Rate-Monotonic Scheduler For LoRa-Based Smart Space Monitoring System

Smart spaces system equipped with sensors to collect data that can be used to generate insights about its environmental conditions. Those collected data is then transmitted to the applications to enhance the comfort, quality of life, and security of the space. Long Range (LoRa) technology provides long distance coverage and consumes low energy which makes it suitable for smart space application. There are six virtual channels to transmit data in LoRa, however network faces the interference problem when nodes transmitted data at the same time. The interference problem makes LoRa less suitable for time-critical applications. To mitigate the interference problem, a spreading factor should be allocated in an optimal way. This paper assigns the spreading factor to the LN using Rate-Monotonic scheduler to ensures data transmission within deadline with minimum energy consumption. To quantify delay in receiving the information, we use the \u27Age of Information\u27 metric. The proposed approach is validated using Network Simulator-3 and results show that it effectively reduces delay and energy and prolongs the network utility

Does Dose Volume Histogram of Parotid Glands Correlate with Xerostomia Radiation Therapy Oncology Group Scores in Locoregionally Advanced Head and Neck Cancer Patients Treated with Intensity-Modulated Radiation Therapy?

Introduction Xerostomia is an imminent complication of head and neck radiotherapy best assessed subjectively. This study aimed to evaluate the effects of sparing parotid glands with intensity-modulated radiation therapy (IMRT) on subjective xerostomia scores in patients with locoregionally advanced head and neck cancer. Subjects and Methods This is a prospective longitudinal study conducted in an outpatient department setting. A total of 43 patients with head and neck cancer were planned with IMRT as per the ICRU 62 (International Commission on Radiation Units and Measurement Report 62). The constraints to ipsilateral and contralateral parotid glands were 35 and 25 Gy, respectively. Treatment plan was assessed for doses to 100, 67, 50, and 33% volume of individual parotid glands. Patients were subjectively assessed using the Amosson’s Questionnaire and graded as per Eisbruch’s xerostomia Radiation Therapy Oncology Group scores. Dose volume histogram (DVH) was plotted and correlated with grades of xerostomia postradiation at 1, 3, 6, 9 and 12 months follow-ups. Statistical analysis was performed suing SPSS version 16, chi-square test, and one-way analysis of variance test. Results No statistically significant correlation between mean dose of radiation, volume of the parotid glands, and grades of xerostomia was noted postradiation. A statistically significant improvement in grades of xerostomia between 3 and 6 months (p = 0.0), 3 and 9 months (p = 0.020), 6 and 9 months (p = 0.009), 6 and 12 months (p = 0.05), and 9 and 12 months (p = 0.00) was noted. Recovery in grades was noted at 9 months. Conclusion There is no statistically significant direct correlation between DVH of the parotid glands and grades of xerostomia, although recovery in grades was statistically significant at 9 months

Abstracts of 1st International Conference on Machine Intelligence and System Sciences

This book contains the abstracts of the papers presented at the International Conference on Machine Intelligence and System Sciences (MISS-2021) Organized by the Techno College of Engineering, Agartala, Tripura, India & Tongmyong University, Busan, South Korea, held on 1–2 November 2021. This conference was intended to enable researchers to build connections between different digital technologies based on Machine Intelligence, Image Processing, and the Internet of Things (IoT). Conference Title: 1st International Conference on Machine Intelligence and System SciencesConference Acronym: MISS-2021Conference Date: 1–2 November 2021Conference Location: Techno College of Engineering Agartala, Tripura(w), IndiaConference Organizer: Techno College of Engineering, Agartala, Tripura, India & Tongmyong University, Busan, South Korea