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El presente documento técnico tiene la finalidad de guiar el manejode cuidados intensivosde los pacientes conCOVID-19 con undoble objetivo: lograr el mejor tratamiento del paciente que contribuya a subuena evolución clínica; ygarantizar los niveles adecuados de prevención y control de la
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infección para la protección de los trabajadores sanitarios y de la población en su conjunto.
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Se sabe que las mujeres embarazadas experimentan cambios inmunológicos y fisiológicos que pueden hacerlas más susceptibles a las infecciones respiratorias virales, incluido COVID-19. Varios estudios revelaron que las mujeres embarazadas con diferentes enfermedades resp
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iratorias virales tenían un alto riesgo de desarrollar complicaciones obstétricas y resultados adversos perinatales en comparación con las mujeres no grávidas, debido a los cambios en las respuestas inmunes. También sabemos que las mujeres embarazadas pueden estar en riesgo de enfermedad grave, morbilidad o mortalidad en comparación con la población general, tal y como se observa en los casos de otras infecciones por coronavirus
5relacionadas [incluido el coronavirus del síndrome respiratorio agudo severo (SARS-CoV) y el coronavirus del síndrome respiratorio del Medio Oriente (MERS-CoV)] y otras infecciones respiratorias virales, como la gripe, durante el embarazo.
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As a public good, antimicrobial medicines require rational use if their effectiveness is to be preserved. However, up to 50% of antibiotic use is inappropriate, adding considerable costs to patient care, and increasing morbidity and mortality. In addition, there is compelling evidence that antimicro
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bial resistance is driven by the volume of antimicrobial agents used. High rates of antimicrobial resistance to common treatments are currently reported all over the world, both in health care settings and in the community. For over two decades, the Region of the Americas has been a pioneer in confronting antimicrobial resistance from a public health perspective. However, those efforts need to be stepped up if we are to have an impact on antimicrobial resistance and want to quantify said impact.
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COVID-19: Guidelines for case-finding, diagnosis, management and public health response in South Africa
recommended
Bham A., J. Bhiman, F. Bongweni et al.
Centre for Respiratory Diseases and Meningitis and Outbreak Response
(2020)
C2
The information contained in this document, be it guidelines, recommendations, diagnostic algorithms or treatment regimens, are offered in this document in the public interest. To the best of the knowledge of the guideline writing team, the information contained in these guidelines is correct. Imple
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mentation of any aspect of these guidelines remains the responsibility of the implementing agency in so far as public health liability resides, or the responsibility of the individual clinician in the case of diagnosis or treatment.
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Nepal has only recently started its journey on the path to an integrated response to the challenge of antimicrobial resistance (AMR). Despite this, it is notable that the Nepal Health Sector Strategy Plan (HSSP)-2 mentions growing antibiotic resistanceas a public health challenge.
The WHO CIA List should be used as a reference to help formulate and prioritize risk assessment and risk management strategies for containing antimicrobial resistance. The WHO CIA List supports strategies to mitigate the human health risks associated with antimicrobial use in
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food-producing animals and has been used by both public and private sector organizations. The list helps regulators and stakeholders know which types of antimicrobials used in animals present potentially higher risks to human populations and how use of antimicrobials might be managed to minimize antimicrobial resistance of medical importance. The use of the WHO CIA List, in conjunction with the OIE list of antimicrobials of veterinary importance (1) and the WHO Model Lists of Essential Medicines (2) , will allow for prioritization of risk management strategies in the human sector, the food animal sector, inagriculture (crops) and horticulture, through a coordinated multisectoral One Health approach.
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This document updates the 2014 Core Elements for Hospital Antibiotic Stewardship Programs and incorporates new evidence and lessons learned from experience with the Core Elements. The Core Elements are applicable in all hospitals, regardless of size. There are suggestions specific to small and criti
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cal access hospitals in Implementation of Antibiotic Stewardship Core Elements at Small and Critical Access Hospitals (12).There is no single template for a program to optimize antibiotic prescribing in hospitals. Implementation of antibiotic stewardship programs requires flexibility due to the complexity of medical decision-making surrounding antibiotic use and the variability in the size and types of care among U.S. hospitals. In some sections, CDC has identified priorities for implementation, based on the experiences of successful stewardship programs and published data. The Core Elements are intended to be an adaptable framework that hospitals can use to guide efforts to improve antibiotic prescribing. The assessment tool that accompanies this document can help hospitals identify gaps to address.
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Produced by Training and Research Support Centre for the Regional Network for Equity in Health in east and southern Africa (EQUINET), March 20, 2020.
This brief summarises and provides links to official, scientific and other resources to support an understanding of and individual to regional level
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responses to the epidemic of ‘novel coronavirus’, also known as COVID-19.
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A Step-by-Step, Research-Informed and Faith-Based Planning Manual
The guidelines are to be used to guide the management of adults with lower respiratory tract infection (LRTI). As will be seen in the following text, this diagnosis, and the other clinical syndromes within this grouping, can be difficult to make accurately. In the absence of agreed definitions of th
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ese syndromes these guidelines are to be used when, in the opinion of a clinician, an LRTI syndrome is present. The following are put forward as def-initions to guide the clinician, but it will be seen in the ensuingtext that some of these labels will always be inaccurate. These definitions are pragmatic and based on a synthesis of available studies. They are primarily meant to be simple to apply in clinical practice, and this might be at the expense of scientific accuracy. These definitions are not mutually exclusive, with lower respiratory tract infection being an umbrella term that includes all others, which can also be used for cases that cannot be classified into one of the other groups. No new evidence has been identified that would lead to a change in the clinical definitions,which are therefore unchanged from the 2005 publication.
Clin Microbiol Infect 2011;17(Suppl. 6): 1–24 The full version of these guidelines can be found on Wiley Online Library.
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This interim guidance is for LTCF managers and corresponding infection prevention and control (IPC) focal persons in LTCF and updates the guidance published in March 2020. The objective of this document is to provide guidance on IPC in LTCFs in the context of COVID-19 to 1) prevent COVID-19-virus fr
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om entering the facility and spreading within the facility, and 2) to support safe conditions for visiting through the rigorous application of IPC procedures for the residents’ well-being. WHO will update these recommendations as new information becomes available.
Availabel in English, French, Russian and Spanish
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Временные рекомендации
13 марта 2020 г.
Настоящий документ является вторым изданием руководства (версия 1.2), которое первоначально представляло собой адаптированн
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ый вариант Руководства по клиническому ведению тяжелой острой респираторной инфекции при подозрении на инфекцию MERS-CoV (ВОЗ, 2019 г.).
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The product of all this work is the Standard Treatment Guideline and Essential Medicines List of Common Medical Conditions in the Kingdom of Swaziland. These systematically developed statements are designed to assist practitioners in making decisions about appropriate treatment for specific clinical
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conditions. They are meant to reflect expert consensus based on a review of current and published scientific evidence of acceptable approaches to diagnosis, man-agement, or prevention of specific conditions.It is enlightening to note that section A of the document contains the STG, and effort has been made to have the conditions commonly encountered in Swaziland classified according to systems. Written in simple, clear language, each section consists of a short definition followed by common symptoms and signs of the disease or condition and then management (pharmacological and nonpharmacological)
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The Core Elements of Outpatient Antibiotic Stewardship provides a framework for antibiotic stewardship for outpatient clinicians and facilities that routinely provide antibiotic treatment. This report augments existing guidance for other clinical settings. In 2014 and 2015, respectively, CDC release
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d the Core Elements of Hospital Antibiotic Stewardship Programs and the Core Elements of Antibiotic Stewardship for Nursing Homes. Antibiotic stewardship is the effort to measure and improve how antibiotics are prescribed by clinicians and used by patients. Improving antibiotic prescribing involves implementing effective strategies to modify prescribing practices to align them with evidence-based recommendations for diagnosis and management.
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The infectious disease burden in India is among the highest in the world. A large amount of antibiot-ics are consumed in fighting infections, some of them saving lives, but every use adding to antibiotic resistance in bacteria. Antibiotic use is increasing steadily (table 1), particularly
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certain antibiotic classes (beta-lactam antibacterials), most notably in the more prosperous states. Resistance follows in lock-step.
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Internationally, there is a growing concern over antimicro-bial resistance (AMR) which is currently estimated to ac-count for more than 700,000 deaths per year worldwide. If no appropriate measures are taken to halt its pro-gress, AMR will cost approximately 10 million lives andabout US$100 trillion
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per year by 2050. In contrast tosome other health issues, AMR is a problem that con-cerns every country irrespective of its level of incomeand development as resistant pathogens do not respect borders.Despite the threat presented by AMR, the 2014 WorldHealth Organization (WHO) and the recent O’Neill re-port describe significant gaps in surveillance, standardmethodologies and data sharing. The 2014 WHOreport identified Africa and South East Asia as the regions without established AMR surveillance systems.
Tadesseet al. BMC Infectious Diseases (2017) 17:616 DOI 10.1186/s12879-017-2713-1
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The escalating antimicrobial resistance (AMR) pandemic is a global public health threat with extensive health, economic and societal implications. Resistance emerges because of selection pressure from rational and indiscriminate antimicrobial use in human health as well as in the veterinary, agricul
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ture and environmental sectors. Infections caused by resistant bacteria result in longer duration of illness, higher mortality rates and increased costs associated with alternative treatment. AMR further constrains procedures that rely on antimicrobial prophylaxis, and AMR is recognized as a threat to theworld economy.
Journal of Public Health | Vol. 39, No. 1, pp. 8–13 | doi:10.1093/pubmed/fdw015 | Advance Access Publication March 3 2016
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The ECDC, the EFSA and the EMA have for the first time jointly explored associations between consumption of antimicrobials in humans and food-producing animals, and antimicrobial resistance in bacteria from humans and food-producing animals, using 2011 and 2012 data currently available from their re
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levant five EU monitoring networks. Combined data on antimicrobial consumption and corresponding resistance in animals and humans for EU MSs and reporting countries were analysed using logistic regression models for selected combinations of bacteria and antimicrobials. A summary indicator of the proportion of resistant bacteria in the main food-producing animal species was calculated for the analysis, as consumption data in food-producing animals were not available at the species level
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