structural

Causes of Coronary Angioplasty Denial in Patients Diagnosed with Significant Coronary Artery Disease in East Afghanistan

Published on: 30th October, 2024

Coronary Artery Disease (CAD) is a leading cause of mortality worldwide, with coronary angioplasty being a crucial intervention for patients with significant disease. This study aimed to identify and analyze the causes of coronary angioplasty denial in patients with significant coronary artery disease in Afghanistan, focusing on demographic, socioeconomic, and clinical factors.A case-control study was conducted with a sample size of 213 patients diagnosed with significant CAD at tertiary care center in Afghanistan. The case group consisted of 106 patients who were denied angioplasty, and the control group included 107 patients who underwent the procedure. Data were collected on demographic characteristics, comorbidities, education, residence, functional status, income, and the reasons for angioplasty denial. Descriptive statistics and comparative analyses were performed to assess the factors associated with denial.The primary reasons for angioplasty denial were financial constraints (45.3%, p < 0.001), limited hospital facilities (15.1%, p = 0.045), patient refusal (23.6%, p < 0.001), and physician preference for conservative management (12.3%, p = 0.091). Denial rates were higher among patients who were older, had multiple comorbidities, were from rural areas, and had lower education and income levels. Illiteracy and cultural beliefs contributed significantly to patient refusal, while inadequate healthcare infrastructure disproportionately affected rural populations.Financial and infrastructural barriers are the leading causes of coronary angioplasty denial in Afghanistan, exacerbating disparities in healthcare access, particularly among low-income and rural patients. Addressing these issues through policy reforms, improved healthcare infrastructure, and targeted public health education is essential to reducing CAD-related morbidity and mortality in the country.
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Fabrication and Optimization of Alginate Membranes for Improved Wastewater Treatment

Published on: 27th January, 2025

Alginate, a naturally occurring biopolymer extracted from brown algae, presents a promising avenue for developing sustainable and efficient membranes for wastewater treatment. This review comprehensively examines recent advancements in the fabrication, modification, and application of alginate-based membranes for effective water purification. The paper delves into various fabrication techniques, including casting, electrospinning, and 3D printing, which influence the structural and functional properties of the resulting alginate membranes. To enhance performance, strategies such as crosslinking, incorporation of porogens, and surface functionalization are employed. These modifications optimize crucial properties like mechanical strength, porosity, selectivity, and antifouling resistance. Furthermore, Response Surface Methodology (RSM) has emerged as a valuable tool for systematically optimizing fabrication parameters, enabling researchers to identify optimal conditions for achieving desired membrane characteristics. The integration of alginate membranes with biological treatment processes, such as phycoremediation (utilizing microalgae) and mycoremediation (employing fungi), offers a synergistic approach to enhance wastewater treatment efficiency. By immobilizing these microorganisms within the alginate matrix, their bioremediation capabilities are amplified, leading to improved pollutant degradation and nutrient removal. In conclusion, alginate-based membranes demonstrate significant potential as a sustainable and effective technology for wastewater treatment. Continued research and development, focusing on optimizing fabrication processes and exploring innovative integration strategies with biological systems, will further advance the application of alginate membranes in addressing the pressing global challenge of water pollution.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat

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