Risco de readmissão ao departamento de emergência em pacientes ambulatoriais com COVID-19 leve com acompanhamento de telessaúde

Introduction: To describe patients ́ characteristics of confirmed COVID-19 with mild symptoms discharged home from the Emergency Department (ED) and followed using telemedicine, to estimate ED-readmission rates and hospitalization, and to explore associated factors with these clinical outcomes. Methods: We performed a retrospective cohort study in Hospital Italiano de Buenos Aires from June to August 2020, which included patients with mild COVID-19 symptoms, diagnosed with a positive result. Follow-up occurred from discharged until ED-readmission or 14 days. We estimate cumulative incidence using the Kaplan-Meier model and associated factors using logistic regression. Results: We included 1,239 patients, with a median of 41 years and 53.82% male. A total of 167 patients were readmitted to the ED within 14 days, with a global incidence rate of 13.08% (95%CI 11.32-15.08). Of these, 83 required hospitalization (median time from diagnosis 4.98 days), 5.98% was not related to any COVID-19 complication, and five patients died. After adjustment by confounders (age ≥65, sex, diabetes, hypertension, former smoking, active smoking, fever, diarrhea, and oxygen saturation), we found significant associations: former smoking (adjusted OR 2.09, 95% CI 1.31-3.34, p0 .002), fever (aOR 1.56,95% CI 1.07-2.28, p0.002) and oxygen saturation (aOR 0.82, 95% CI 0.71-0.95, p0.009).Conclusion: The 13% rate of ED-readmission during 14 days of follow-up of mild symptomatic COVID-19 patients initially managed as outpatients with telehealth is highly significant in hospital management, quality performance, and patient safety.Introducción: Describir las características de los pacientes COVID-19 con síntomas leves dados de alta desde la Central de Emergencias de Adultos (CEA) y seguidos en forma ambulatoria mediante telemedicina. Estimar las tasas de re-consulta a CEA y hospitalización, y explorar los factores asociados a estos desenlaces. Métodos: Cohorte retrospectiva de Junio a Agosto 2020 en el Hospital Italiano de Buenos Aires, que incluyó personas COVID-19 con síntomas leves. Se siguieron durante 14 días hasta la ocurrencia de re-consulta en CEA y/o hospitalización. Se utilizaron modelos de Kaplan-Meier y regresión logística. Resultados: De un total de 1.239 pacientes, con una mediana de 41 años y 53,82% varones, 167 pacientes re-consultaron a CEA, con una tasa de incidencia global a los14 días del 13,08% (IC del 95% 11,32 a 15,08). De estos, 83 requirieron hospitalización (media de 4,98 días), el 6% no se relaciona con COVID-19 y 5 pacientes fallecieron. Después del ajuste por factores confundidores (edad ≥65, sexo, diabetes, hipertensión, ex tabaquismo, tabaquismo activo, fiebre, diarrea y saturación de oxígeno), encontramos asociaciones significativas: tabaquismo anterior (ORa 2,09, IC95% 1,31-3,34, p0=0,002), fiebre (ORa 1,56, IC95% 1,07-2,28, p=0,002) y saturación de oxígeno (ORa 0,82, IC95% 0,71-0,95, p=0,009). Conclusión: La tasa del 13% de re-consulta a CEA durante 14 días de seguimiento resultó muy significativa para la gestión hospitalaria, la calidad del desempeño y la seguridad del paciente.Introdução: Descrever as características dos pacientes com COVID-19 com sintomas leves e altado Centro de Emergência de Adultos (CEA) e acompanhados ambulatorialmente por telemedicina. Estime as taxas de nova consulta ao CEA e de hospitalização e explore os fatores associados a esses resultados. Métodos: Coorte retrospectiva de junho a agosto de 2020 no Hospital Italiano de Buenos Aires, que incluiu COVID-19 com sintomas leves. Eles foram acompanhados por 14 dias até a ocorrência de nova consulta no CEA e / ou internação. Modelos de Kaplan-Meier e regressão logística foram usados. Resultados: De um total de 1.239 pacientes, com mediana de 41 anos e 53,82% homens, 167 pacientes consultaram novamente o CEA, com uma taxa de incidência global em 14 dias de 13,08% (IC95% 11,32 a 15,08). Destes, 83 necessitaram de hospitalização (média de 4,98 dias), 6% não estavam relacionados com COVID-19 e 5 pacientes morreram. Após o ajuste para fatores de confusão (idade ≥65, sexo, diabetes, hipertensão, ex-tabagismo, tabagismo ativo, febre, diarreia e saturação de oxigênio), encontramos associações significativas: tabagismo prévio (ORa 2,09, IC 95% 1,31-3,34, p0 = 0,002), febre (ORa 1,56, IC 95% 1,07-2,28, p = 0,002) e saturação de oxigênio (ORa 0,82, IC 95% 0,71-0,95, p = 0,009). Conclusão: A taxa de 13% de re-consulta ao CEA durante 14 dias de seguimento foi muito significativa para a gestão hospitalar, qualidade do desempenho e segurança do paciente.publishedVersionFil: Pedretti Ana. Hospital Italiano de Buenos Aires; Argentina.Fil: Marquez Fosser, Santiago. Hospital Italiano de Buenos Aires; Argentina.Fil: Pasquinelli, Rosario. Hospital Italiano de Buenos Aires; Argentina.Fil: Vallone, Marcelo. Hospital Italiano de Buenos Aires; Argentina.Fil: Plazzotta, Fernando. Hospital Italiano de Buenos Aires; Argentina.Fil: Luna, Daniel. Hospital Italiano de Buenos Aires; Argentina.Fil: Martínez, Bernardo. Hospital Italiano de Buenos Aires; Argentina.Fil: Rodríguez, Paz. Hospital Italiano de Buenos Aires; Argentina.Fil: Grande Ratti, María Florencia. Hospital Italiano de Buenos Aires. Área de Investigación en Medicina Interna; Argentina

Characterizing the Information Needs of Rural Healthcare Practitioners with Language Agnostic Automated Text Analysis

Objectives – Previous research has characterized urban healthcare providers\u27 information needs, using various qualitative methods. However, little is known about the needs of rural primary care practitioners in Brazil. Communication exchanged during tele-consultations presents a unique data source for the study of these information needs. In this study, I characterize rural healthcare providers\u27 information needs expressed electronically, using automated methods. Methods – I applied automated methods to categorize messages obtained from the telehealth system from two regions in Brazil. A subset of these messages, annotated with top-level categories in the DeCS terminology (the regional equivalent of MeSH), was used to train text categorization models, which were then applied to a larger, unannotated data set. On account of their more granular nature, I focused on answers provided to the queries sent by rural healthcare providers. I studied these answers, as surrogates for the information needs they met. Message representations were generated using methods of distributional semantics, permitting the application of k-Nearest Neighbor classification for category assignment. The resulting category assignments were analyzed to determine differences across regions, and healthcare providers. Results – Analysis of the assigned categories revealed differences in information needs across regions, corresponding to known differences in the distributions of diseases and tele-consultant expertise across these regions. Furthermore, information needs of rural nurses were observed to be different from those documented in qualitative studies of their urban counterparts, and the distribution of expressed information needs categories differed across types of providers (e.g. nurses vs. physicians). Discussion – The automated analysis of large amounts of digitally-captured tele-consultation data suggests that rural healthcare providers\u27 information needs in Brazil are different than those of their urban counterparts in developed countries. The observed disparities in information needs correspond to known differences in the distribution of illness and expertise in these regions, supporting the applicability of my methods in this context. In addition, these methods have the potential to mediate near real-time monitoring of information needs, without imposing a direct burden upon healthcare providers. Potential applications include automated delivery of needed information at the point of care, needs-based deployment of tele-consultation resources and syndromic surveillance. Conclusion – I used automated text categorization methods to assess the information needs expressed at the point of care in rural Brazil. My findings reveal differences in information needs across regions, and across practitioner types, demonstrating the utility of these methods and data as a means to characterize information needs

The potential impact of the COVID-19 pandemic on global antimicrobial and biocide resistance:An AMR Insights global perspective

The COVID-19 pandemic presents a serious public health challenge in all countries. However, repercussions of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections on future global health are still being investigated, including the pandemic's potential effect on the emergence and spread of global antimicrobial resistance (AMR). Critically ill COVID-19 patients may develop severe complications, which may predispose patients to infection with nosocomial bacterial and/or fungal pathogens, requiring the extensive use of antibiotics. However, antibiotics may also be inappropriately used in milder cases of COVID-19 infection. Further, concerns such as increased biocide use, antimicrobial stewardship/infection control, AMR awareness, the need for diagnostics (including rapid and point-of-care diagnostics) and the usefulness of vaccination could all be components shaping the influence of the COVID-19 pandemic. In this publication, the authors present a brief overview of the COVID-19 pandemic and associated issues that could influence the pandemic's effect on global AMR.</p

Current Perspectives on Viral Disease Outbreaks

The COVID-19 pandemic has reminded the world that infectious diseases are still important. The last 40 years have experienced the emergence of new or resurging viral diseases such as AIDS, ebola, MERS, SARS, Zika, and others. These diseases display diverse epidemiologies ranging from sexual transmission to vector-borne transmission (or both, in the case of Zika). This book provides an overview of recent developments in the detection, monitoring, treatment, and control of several viral diseases that have caused recent epidemics or pandemics

Covid-19 The biggest threat of the 21st century in respectful memory of the warriors all over the world

Since the first case was diagnosed in China, the new coronavirus infection (COVID-19) has become the number one issue in the world and it seems to remain trend-topic for a long time. Until 17 April, it affected 210 countries, infected over 2 million people and caused approximately 150000 deaths. Although the course of the disease ranges from asymptomatic state to severe ARDS; the majority of patients reveal only mild symptoms. Though adults are the most commonly affected group; it can also be seen in newborns and elderly patients. Unfortunately, elderly patients are the most vulnerable group with higher mortality. Elderly patients, smokers and patients with comorbid conditions are most affected by the disease. In certain diagnostical tool is the real-time reverse transcription-polymerase chain reaction (real-time RT-PCR) test. However, it can be resulted in false-negative results and in this case the computed thorax tomography (CT) is one of the most important tools with high sensitivity. Besides the supportive treatment, most commonly used agents are immunomodulatory drugs such as plaquenil and azitromycin, and anti-virals including oseltamivir, ritonavir-lopinavir, favipiravir. Until a vaccine or a specific therapy invented, the most important intervention to control the disease is to fight against transmission. This is a real war and the doctors are the soldiers

"Tomorrow never dies" : recent advances in diagnosis, treatment, and prevention modalities against coronavirus (COVID-19) amid controversies

The outbreak of novel coronavirus disease (2019-nCoV or COVID-19) is responsible for severe health emergency throughout the world. The attack of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is found to be responsible for COVID-19. The World Health Organization has declared the ongoing global public health emergency as a pandemic. The whole world fights against this invincible enemy in various capacities to restore economy, lifestyle, and safe life. Enormous amount of scientific research work(s), administrative strategies, and economic measurements are in place to create a successful step against COVID-19. Furthermore, differences in opinion, facts, and implementation methods laid additional layers of complexities in this battle against survival. Thus, a timely overview of the recent, important, and overall inclusive developments against this pandemic is a pressing need for better understanding and dealing with COVID-19. In this review, we have systematically summarized the epidemiological studies, clinical features, biological properties, diagnostic methods, treatment modalities, and preventive measurements related to COVID-19

Covipendium : information available to support the development of medical countermeasures and interventions against COVID-19

The living paper on the new coronavirus disease (COVID-19) provides a structured compilation of scientific data about the virus, the disease and its control. Its objective is to help scientists identify the most relevant publications on COVID-19 in the mass of information that appears every day. It is also expected to foster a global understanding of disease control and stimulate transdisciplinary initiatives

Response to the Novel Corona Virus (COVID-19) Pandemic Across Africa: Successes, Challenges, and Implications for the Future

Background: The COVID-19 pandemic has already claimed considerable lives. There are major concerns in Africa due to existing high prevalence rates for both infectious and non-infectious diseases and limited resources in terms of personnel, beds and equipment. Alongside this, concerns that lockdown and other measures will have on prevention and management of other infectious diseases and non-communicable diseases (NCDs). NCDs are an increasing issue with rising morbidity and mortality rates. The World Health Organization (WHO) warns that a lack of nets and treatment could result in up to 18 million additional cases of malaria and up to 30,000 additional deaths in sub-Saharan Africa. Objective: Document current prevalence and mortality rates from COVID-19 alongside economic and other measures to reduce its spread and impact across Africa. In addition, suggested ways forward among all key stakeholder groups. Our Approach: Contextualise the findings from a wide range of publications including internet-based publications coupled with input from senior-level personnel. Ongoing Activities: Prevalence and mortality rates are currently lower in Africa than among several Western countries and the USA. This could be due to a number of factors including early instigation of lockdown and border closures, the younger age of the population, lack of robust reporting systems and as yet unidentified genetic and other factors. Innovation is accelerating to address concerns with available equipment. There are ongoing steps to address the level of misinformation and its consequences including fines. There are also ongoing initiatives across Africa to start addressing the unintended consequences of COVID-19 activities including lockdown measures and their impact on NCDs including the likely rise in mental health disorders, exacerbated by increasing stigma associated with COVID-19. Strategies include extending prescription lengths, telemedicine and encouraging vaccination. However, these need to be accelerated to prevent increased morbidity and mortality. Conclusion: There are multiple activities across Africa to reduce the spread of COVID-19 and address misinformation, which can have catastrophic consequences, assisted by the WHO and others, which appear to be working in a number of countries. Research is ongoing to clarify the unintended consequences given ongoing concerns to guide future activities. Countries are learning from each other