31 research outputs found

    INVESTIGATION OF THE CLINICAL SIGNIFICANCE OF ESCITALOPRAM-INDUCED ELECTROCARDIOGRAPHIC CHANGES IN MEN: A PILOT OBSERVATIONAL STUDY

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    Objective: We sought to investigate the clinical significance of secondary electrocardiographic (ECG) changes in men after using escitalopram. Methods: This pilot observational cohort study recruited male patients taking escitalopram for at least 6 mo in Mental Hospital of Qassim. All patients underwent a 12-lead ECG examination. We also measured the heart rate (HR), QTc, and QRS interval. Data on all related medical conditions and medications were recorded. Results: Fifty-three men were recruited, with a mean age of 37.39±8.39 y: 34.4% and 31.1% of these patients were taking escitalopram for depression and anxiety, respectively. The mean dose of escitalopram was 14.35 mg. Observations showed that 20.9% of the patients taking escitalopram had a fast HR (>100 beats/min [bpm]), indicative of sinus tachycardia, whereas 11.4% of patients had a slow HR (<60 bpm). The mean QT and QTc in patients taking escitalopram were 366.62±28.69 and 398.92±16.15 ms, respectively. Conclusion: Low doses of escitalopram resulted in minimal clinically significant changes. Thus, patients should be monitored when doses are escalated further

    Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    Background: Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. Methods: The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. Findings: Global DALYs increased from 2·63 billion (95% UI 2·44–2·85) in 2010 to 2·88 billion (2·64–3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7–17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8–6·3) in 2020 and 7·2% (4·7–10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0–234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7–198·3]), neonatal disorders (186·3 million [162·3–214·9]), and stroke (160·4 million [148·0–171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3–51·7) and for diarrhoeal diseases decreased by 47·0% (39·9–52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54–1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5–9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0–19·8]), depressive disorders (16·4% [11·9–21·3]), and diabetes (14·0% [10·0–17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7–27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6–63·6) in 2010 to 62·2 years (59·4–64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6–2·9) between 2019 and 2021. Interpretation: Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. Funding: Bill & Melinda Gates Foundation

    Ultra-modified control algorithms for matrix converter in wind energy system

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    This paper proposes an ultra-modified SSA (symmetric sequence algorithm) of space vector modulation of MC (matrix converter). The ultra-modified technique improves the drawbacks of the modified one where it provides a reduction of the total harmonic distortion for both output voltage and current. Also this paper proposes a modified feed forward controller of the MC with indirect space vector modulation. The modified feed forward provides a solution for the change in the output voltage due to change in wind speed, where it provides a constant output voltage with constant frequency even if the wind speed changed. Some of the advantages of MC are introduced in this paper. These advantages represented in the output frequency of MC which may be greater than the input frequency, controlling rms value of the output voltage and the ability to control the IDF (input displacement factor). At the end of this paper simulation and experimental results are introduced which give a precise proof to the proposed algorithms

    Mathematical Design and Analysis of Three-Phase Inverters: Different Wide Bandgap Semiconductor Technologies and DC-Link Capacitor Selection

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    This paper introduces a mathematical design and analysis of three-phase inverters used in electric drive applications such as aerospace, electric vehicles, and pumping applications. Different wide bandgap (WBG) semiconductor technologies are considered in this analysis. Using SiC MOSFETs and Si IGBTs, two drive systems are developed in order to show the improvement in the efficiency of the inverter. The efficiency, total losses of the drive systems and the power losses of two inverters are computed and compared for both drive systems at the same operating condition. The drive system with SiC MOSFET shows much better performance compared to the drive system with Si IGBT. The SiC MOSFET system provides a 59.39%, 86.13%, and 29.76% lower conduction losses, switching losses and drive’s total losses, respectively, compared to the Si IGBT system. The efficiency of the SiC MOSFET system is 2.46%pu higher than the efficiency of the Si IGBT drive system. Moreover, this paper introduces a detailed analysis for the dc-link voltage and current ripples in three-phase inverters. Furthermore, the minimal dc-link capacitor needed to deal with the ripple current and voltage is investigated. Finally, the performance of the drive with Si IGBT is experimentally tested under different operating speeds and loads.</jats:p

    Design, implementation and performance analysis of shunt active filter based on a matrix converter

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    In this paper, a new topology for a shunt active power filter using a matrix converter is proposed. The topology analysis, description of the associated control technique, steady-state and dynamic performance are also presented in this study. The proposed topology does not contain the bulky DC-link capacitor. In addition, the parameters of the proposed filter are robust against the change in the load and the THD percentage is the same under this condition. So, the proposed filter parameters do not require to be retuned with load change. Moreover, a simple and compact form can be realised. The reference currents are calculated using a synchronous reference frame theory. Space vector modulation and hysteresis current control are used to control the rectifier and inverter stages in the indirect matrix converter to obtain the required injected filter current. Finally, a simulation model and an experimental prototype are implemented using Matlab/Simulink program and DSP1104, respectively, with a detailed analysis to the obtained results which confirm the effectiveness and the high accuracy performance of the proposed topology

    Attitudes of Physical Education Teachers towards the Participation of Students with Disabilities in the Physical Education Class in Schools

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    The study aimed to reveal the attitudes of physical education teachers towards the participation of students with disabilities in physical education class in schools. The study sample consisted of (208) physical education teachers. The measure of physical education teachers' attitudes towards integrating students with disabilities into the physical education class was applied. The results of the study showed that the general average of the total score for the measure of attitudes towards the participation of students with disabilities in the physical education class was high, with an arithmetic mean of (3.25), and that there were statistically significant differences in the attitudes of physical education teachers towards integrating students with disabilities in the sports class according to the gender no statistically significant differences&nbsp; &nbsp;variable. Academic qualification and educational experience. &nbsp

    Networking research for the Arab world

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    The Arab region, composed of 22 countries spanning Asia and Africa, opens ample room for communications and networking innovations and services and contributes to the critical mass of the global networking innovation. While the Arab world is considered an emerging market for communications and networking services, the rate of adoption is outpacing the global average. Several countries in the region are either building new infrastructure or developing existing infrastructure at an unprecedented pace. This provides a unique opportunity to fuse multiple advanced networking technologies as an integral part of the infrastructure design phase. Among a number of emerging communications and networking technologies, wireless and mobile technologies are of paramount importance and have become a key enabler for a multitude of services in our daily lives

    Implementation of matrix converter in wind energy conversion system with modified control techniques

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    In this article, different matrix converter (MC) control strategies are comprehensively explained. Further, an ultra-modified space vector modulation (UMSVM) of the MC is proposed. The total harmonic distortion for both output voltage and current is reduced, when the proposed UMSVM technique is applied. Moreover, a modified indirect space vector modulation with feed forward controller (MISVMFC) of the MC is also proposed in order to obtain a fixed output voltage and frequency for different wind speeds. The advantages of the MC are introduced in this article. These advantages include the wide range of the output frequency of MC, which may be greater than the input frequency and the control of both the output voltage magnitude and input displacement factor (IDF). Extensive theoretical and simulation results about conventional and proposed control techniques for the MC are presented. Experimental test bench is constructed and several experimental results are obtained. The experimental results validate the simulation ones

    Precision Nutrition Unveiled: Gene–Nutrient Interactions, Microbiota Dynamics, and Lifestyle Factors in Obesity Management

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    Background: Obesity is a complex metabolic disorder that is associated with several diseases. Recently, precision nutrition (PN) has emerged as a tailored approach to provide individualised dietary recommendations. Aim: This review discusses the major intrinsic and extrinsic components considered when applying PN during the management of obesity and common associated chronic conditions. Results: The review identified three main PN components: gene–nutrient interactions, intestinal microbiota, and lifestyle factors. Genetic makeup significantly contributes to inter-individual variations in dietary behaviours, with advanced genome sequencing and population genetics aiding in detecting gene variants associated with obesity. Additionally, PN-based host-microbiota evaluation emerges as an advanced therapeutic tool, impacting disease control and prevention. The gut microbiome’s composition regulates diverse responses to nutritional recommendations. Several studies highlight PN’s effectiveness in improving diet quality and enhancing adherence to physical activity among obese patients. PN is a key strategy for addressing obesity-related risk factors, encompassing dietary patterns, body weight, fat, blood lipids, glucose levels, and insulin resistance. Conclusion: PN stands out as a feasible tool for effectively managing obesity, considering its ability to integrate genetic and lifestyle factors. The application of PN-based approaches not only improves current obesity conditions but also holds promise for preventing obesity and its associated complications in the long term
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