Linking of different ethnicities, races and religions to lipid profile patterns and hypolipidaemic drug usage patterns in coronary artery disease patients

Background: Coronary artery disease (CAD) is the consequence of atherosclerosis in which inadequate blood flow in the coronary arteries leads to myocardial necrosis. The impact of ethnic on CAD might be underestimated within Indian communities. There have never been any studies done associating them to lipid profile patterns in the Indian setup hence this study is the first of its kind to work towards attending the absence of data in this direction.The study aimed to evaluate the presence of ethnic differences in lipid profile patterns and hypolipidemic drug use in CAD patients.Methods: An 8-week cross-sectional prospective study was conducted in the cardiology OPD of a tertiary care hospital. Adult CAD patients prescribed with at least one hypolipidaemic drug, having their lipid profile values and willing to give informed consent were selected. The prescription pattern was noted, and the lipid profile values of the patients classified as per ATP III guidelines by NCEP. Atherogenic dyslipidaemia was considered when patients had triglyceride levels >150 mg/dl and HDL<40 mg/dl. The collected data was analyzed using SPSS. P value less than 0.05 was considered as statistically significant.Results: A total of 123 patients enrolled. Out of these, 115 were Hindus and among Hindus, most were Brahmins (34). The most prescribed hypolipidaemic drug was Rosuvastatin. Thirty six patients had high triglyceride levels out of which 35 were Hindus. Low HDL (<40 mg/dl) was present in 70 patients out of which 64 were Hindus. Atherogenic dyslipidaemia was seen in 44 patients. Majority of them belonged to the age group of 51-60 years (43.2%) and were Patels. Total cholesterol and LDL were high in 1 and 2 Jains respectively. Lipid values were higher in Tier-3 city patients.Conclusion: Hindu patients in this study showed a poorer lipid profile while among the castes, Jains and Patel’s fared poorly. It was seen that atherogenic dyslipidemia is on a rise in the Indian population

DESAIN PENGEMBANGAN MODEL PEMBELAJARAN PENDIDIKAN KEWARGANEGARAAN MELALUI ADDIE MODEL UNTUK MENINGKATKAN KARAKTER MAHASISWA DI UNIVERSITAS SLAMET RIYADI SURAKARTA

Citizenship Education in Higher Education is one of the compulsory subjects that make up the character of students. Long-term goals to be achieved in this study are as follows: find a design development Citizenship Through Education Learning Model to Improve Character ADDIE Students At University Slamet Riyadi Surakarta. The method used in this research is the research and development that is supported by the study of literature and literary documents and supported with Data Triangulation techniques appropriate to the problems discussed. Design development in this research using ADDIE (Analyze, Design, Develop, Implement, Evaluation). The results showed as follows: First Analysis is to analyze needs, identify problems (needs), and analysis tasks. Second, Design, this design phase, formulate learning objectives are SMART. Third, Development is the process of realizing blue-print. Fourth, Implementation is a concrete step to implement a learning system that we are creating. Fifth, Evaluation is the process to see if the system is being built successful learning, in line with initial expectations or not. Evaluation is the final step of the ADDIE model of instructional systems design. Based on the ADDIE model of instructional development was later adopted in the development stage learning model Project Citizen (PC) with a new name "MPC" (Modification of Project Citizen)

Classification of Caesarean Section According to Robson Criteria: An Approach to Optimize Caesarean Section Rates at Tertiary Care Hospital in Western India

Introduction: Caesarean section (CS) rates have been increasing worldwide. For proper assessment of CS rate, the ten group Robson classification is recommended by WHO. We are analyzing the CS rates by classifying the caesarean sections using Robson‘s ten group classification. The aim of this study is to perform an analysis based on Robson‘s ten group classification system and to identify strategies to optimize CS rate in our institution. Materials and Methods: This was a retrospective observational study conducted in the department of obstetrics and gynaecology between July 2022 to December 2022 at SardarVallabhbhai Patel Institute of Medical Sciences and Research (SVPIMSR) in Ahmedabad, western India. Results: Total number of deliveries during the study period was 3121. The total numbers of CS were 1078 (34.55%) and total vaginal deliveries were 2043 (65.45%). The main contributors to overall caesarean section rate were group 5 (previous CS) (14.03%) and group 2 (nullipara, singleton cephalic,>=37 weeks) (11.40%). Women with one previous LSCS contributed majorly to the CS rate. Conclusions: Robson‘s classification is easily implementable and an effective tool for surveillance. The results can be compared between Institutions, states and countries. By using Robson classification, groups identified which contributed the most to the overall CS rate and approach to reduce the same has to be our prime objective. Any reduction in CS in nullipara group affect the CS rate in the total group of nulliparous women with a potential for vaginal birth and would also reduce number of women in group 5 (previous CS)

Absolute Energy Measurements with Superconducting Transition-Edge Sensors for Muonic X-ray Spectroscopy at 44 keV

Superconducting transition-edge sensor (TES) microcalorimeters have great utility in x-ray applications owing to their high energy resolution, good collecting efficiency and the feasibility of being multiplexed into large arrays. In this work, we develop hard x-ray TESs to measure the absolute energies of muonic-argon ($\mu$-Ar) transition lines around 44 keV and 20 keV. TESs with sidecar absorbers of different heat capacities were fabricated and characterized for their energy resolution and calibration uncertainty. We achieved ~ 1 eV absolute energy measurement accuracy at 44 keV, and < 12 eV energy resolution at 17.5 keV

Future and potential spending on health 2015-40: Development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries

Background: The amount of resources, particularly prepaid resources, available for health can affect access to health care and health outcomes. Although health spending tends to increase with economic development, tremendous variation exists among health financing systems. Estimates of future spending can be beneficial for policy makers and planners, and can identify financing gaps. In this study, we estimate future gross domestic product (GDP), all-sector government spending, and health spending disaggregated by source, and we compare expected future spending to potential future spending. Methods: We extracted GDP, government spending in 184 countries from 1980-2015, and health spend data from 1995-2014. We used a series of ensemble models to estimate future GDP, all-sector government spending, development assistance for health, and government, out-of-pocket, and prepaid private health spending through 2040. We used frontier analyses to identify patterns exhibited by the countries that dedicate the most funding to health, and used these frontiers to estimate potential health spending for each low-income or middle-income country. All estimates are inflation and purchasing power adjusted. Findings: We estimated that global spending on health will increase from US$9.21 trillion in 2014 to$24.24 trillion (uncertainty interval [UI] 20.47-29.72) in 2040. We expect per capita health spending to increase fastest in upper-middle-income countries, at 5.3% (UI 4.1-6.8) per year. This growth is driven by continued growth in GDP, government spending, and government health spending. Lower-middle income countries are expected to grow at 4.2% (3.8-4.9). High-income countries are expected to grow at 2.1% (UI 1.8-2.4) and low-income countries are expected to grow at 1.8% (1.0-2.8). Despite this growth, health spending per capita in low-income countries is expected to remain low, at $154 (UI 133-181) per capita in 2030 and$195 (157-258) per capita in 2040. Increases in national health spending to reach the level of the countries who spend the most on health, relative to their level of economic development, would mean $321 (157-258) per capita was available for health in 2040 in low-income countries. Interpretation: Health spending is associated with economic development but past trends and relationships suggest that spending will remain variable, and low in some low-resource settings. Policy change could lead to increased health spending, although for the poorest countries external support might remain essential