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ABSTRACT Herein we describe a mild symptomatic real-time reverse transcriptase- polymerase chain reaction-confirmed coronavirus 2 (SARS-CoV-2) infection in a pregnant woman who gave birth to a preterm infant, 32 weeks gestational age. The neonate was immediately isolated after delivery and developed severe respiratory disease that progressed to multisystem inflammatory syndrome and death on the seventh day of life. Genome sequencing detected the P.1 (gamma) variant in samples obtained at hospital admission (mother) and on the first (10h) and 13th days of life (neonate). Complete homology (mother's and newborn's sequences) confirmed vertical transmission. To our knowledge, this is the first report of vertically-transmitted SARS-CoV-2 P.1 (gamma) variant in a mild symptomatic infection in pregnancy associated with fatal COVID in a neonate.
Résumé
Abstract Objective The authors design an animal model of neonatal sepsis to analyze the treatment of neonatal septic shock with Methylene Blue (MB) in a swine model. Methods The study design included twenty male newborn pigs divided into four groups: 1) The control group; 2) The sepsis group (induced with lipopolysaccharide); 3) The MB group, and 4) The MB-treated sepsis group. Septic shock was defined as Blood Pressure (BP) dropping 20% below the baseline value. Continuous Blood Pressure (BP), Nitric Oxide (NO) levels, cyclic Guanosine Monophosphate (cGMP), malondialdehyde acid, base excess, lactate, arterial blood gases, hematocrit, and echocardiography were analyzed. Results The BP of the sepsis group treated with MB showed a slight improvement in the first hour after treatment; however, a significant difference was not observed compared to the untreated sepsis group. Besides hemodynamic stability, the current study did not show symptomatic pulmonary hypertension, suggesting that MB was safe in neonates and children. An improvement in Base Excel (BE) levels after MB administration in septic animals may indicate a possible improvement in microcirculation. Conclusion The MB improved biomarkers related to septic shock prognosis, although an improvement in the blood levels could not be detected. MB might be a beneficial drug for hemodynamic instability in infants.
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ABSTRACT Objective: To measure the level of satisfaction regarding the usability of a neonatal health information system and identify if demographic factors can influence the usability of a health information system. Methods: A cross-sectional, exploratory study was carried out with a convenience sample of 50 users of the Brazilian Neonatal Research Network. The instrument chosen for the usability evaluation was the System Usability Scale between February and March 2017. The statistical analysis of the collected variables was carried out in order to describe the sample, to quantify the level of satisfaction of the users and to identify the variables associated with the level of satisfaction. Results: The female gender represented 75% of the sample. The mean age was 52.8 years; 58% had a doctoral degree, average time of graduation was 17 years, with area of practice in medicine (neonatology), with intermediate knowledge in computer science (74%) and mean system use time of 52 months. Regarding usability, 94% rated the system as "good", "excellent" or "better than imaginable". The usability of the system was not associated with age, gender, education, profession, area of practice, knowledge in computer science and time of system use. Conclusion: The level of satisfaction of the computerized health system user was considered good. No demographic factors were associated with the satisfaction of the users.
RESUMO Objetivo: Mensurar o grau de satisfação de profissionais de saúde quanto à usabilidade de um sistema de informação em saúde neonatal e identificar os fatores que podem influenciar na satisfação do usuário frente à usabilidade. Métodos: Estudo transversal e exploratório realizado com 50 profissionais de saúde integrantes dos centros da Rede Brasileira de Pesquisas Neonatais. Para avaliação da usabilidade foi utilizado o instrumento System Usability Scale entre fevereiro e março de 2017. Realizou-se a análise estatística descritiva e inferencial das variáveis coletadas, com a finalidade de descrever a amostra, quantificar o grau de satisfação dos usuários e identificar as variáveis associadas ao grau de satisfação do usuário em relação à usabilidade. Resultados: Da população avaliada, 75% era do sexo feminino, com idade média 52,8 anos, 58% com pós-graduação (doutorado); tempo médio da última formação de 17 anos; área de atuação em medicina (neonatologia), grau intermediário de conhecimento em informática e tempo de utilização média do sistema de 52 meses. Quanto à usabilidade, 94% avaliaram o sistema como "bom", "excelente" ou "melhor impossível". A usabilidade do sistema não foi associada a idade, sexo, escolaridade, profissão, área de atuação, nível de conhecimento em informática e tempo de uso do sistema. Conclusões: O grau de satisfação do usuário do sistema informatizado de saúde foi considerado bom. Não foram identificados fatores demográficos que influenciassem sua avaliação.