Engenharia Biomédica
URI permanente para esta coleçãohttps://repositorioacademico.universidadebrasil.edu.br/handle/123456789/33
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Resultados da Pesquisa
Item Perfil epidemiológico de abortamentos espontâneos na região Sudoeste de Mato Grosso - proposição de um novo fluxograma de atendimento(Universidade Brasil, 2020) Dalbem, Catarina Maria Mesquita Garcia; Fávero, Priscila PereiraIntroduction: Spontaneous abortion is an important public health problem, usually occurring in first 12 weeks of pregnancy, and is often underreported in current literature. In Brazil, there is currently no flowchart for the care of patients diagnosed with initial pregnancy undergoing abortion recommended by the Ministry of Health. Objective: Analyze the epidemiological profile of patients diagnosed with spontaneous abortion in the Southwest region of Mato Grosso between January 2018 at July 2019 and to propose a flow chart of care for these patients. Method: Cross-sectional study based on the analysis of the medical records of pregnant women admitted to the obstetrics service of a reference hospital in the Southwest region of Mato Grosso. Clinical and epidemiological data were analyzed and the incidence rate of early abortions was calculated. Data were only collected and analyzed after approval by the Research Ethics Committee of Universidade Brasil, under opinion No. 3,658,979. Results: 348 patients were included in the study. The mena age was 29.36 years, the most common ethnicity was brown (87.64%) and 56% of the patients were single. The incidence rate of abortions in the period of 2018 was 54.5 cases per 1,000 live births, the highest rates were observed in the older population, 40 to 49 years (113.2 cases / 1,000 live births). Several data regarding the epidemiological profile were missing from the medical record. Once the incompleteness of information and the importance of this data was verified, as well as the systematization of data collection in the medical records of patients hospitalized with this diagnosis, a flowchart of screening and care for these patients was proposed.Item Análise temporal da incidência de hanseníase e suas reações em Cáceres-MT(Universidade Brasil, 2020) Dias, Bárbara Klein Bisinella Dias; Amaral, Marcelo Magri; Cortela, Denise CostaLeprosy is a highly prevalent infectious disease in tropical regions and in low to medium income countries, with social inequality and poverty being important risk factors. As it is a contagious infectious disease whose prolonged contact is a primary factor for the transmission of this communicating pathway, the analysis of the distribution of the disease and its determinants in populations, space and time are fundamental aspects. The aim of the present study was to analyze the incidence of leprosy and its reactions in an endemic area of the disease. This is a retrospective observational cross-sectional cut, with data obtained from the Health Surveillance Database, from the National Medical Service System, in the municipality of Cáceres between 2008 to 2018. The variables analyzed were: sex, age, type of leprosy (Paucibacillary or Multibacillary), type of leprosy reaction and location of the notified patient for geoprocessing. In all, 398 cases were reported, 59.11% were male, mean age 44,7 ± 16,9 years and the most common clinical form was multibacillary (53,3%), mostly male (58,8%). Of the total, 50 patients had leprosy reactions, 46% of which were type 1, 36% of type 2 and 18% had both type 1 and type 2 reactions. The neighborhoods with the highest incidence of cases were Rodeio, Vitória Régia, Cavalhada 3 and Jardim Guanabara. From the use of geoprocessing in individuals diagnosed with leprosy, it was possible to find areas with a higher density of cases, which helps in directing public policies for treatment and prevention of the disease.Item Sífilis em gestantes: uma análise espacial no território Vale do Rio Guaribas/PI(Universidade Brasil, 2020) Leal, Antonia Lucimary de Sousa; Marciano, Fernanda Roberta; Navarro, Ricardo ScarparoSyphilis is a Sexually Transmitted Infection (STI) that is easy to diagnose. Its treatment is carried out in a simple and freeway, guaranteed by the Unified Health System (SUS), however, it still presents itself as a public health problem, due to its high incidence, associated comorbidities and, above all, due to its magnitude, mainly when presented in pregnant women, gestational syphilis (SG). Therefore, conducting a spatial analysis of this condition becomes relevant because it allows the exact determination of the geographic space where SG has a smaller and greater distribution within the studied territory, for this the compulsory notification acts as a thermometer indicating where there is a need for disease control, since the pregnant woman with syphilis not treated properly and in a timely manner can transmit the disease vertically to the fetus: Congenital Syphilis (SC), which can cause spontaneous abortion, premature birth, fetal and neonatal death, fetal malformation, deafness , blindness and mental disability. This research aims to analyze the distribution of cases of SG in the territory of Vale do Rio Guaribas/PI, from 2008 to 2018. It is an epidemiological survey with a spatial approach to the cases notified in the Information System for Notifiable Diseases ( SINAN). The data found were tabulated in the Excel program and presented in tables, graphs and a map was designed to view the SG scenario in the Vale do Rio Guaribas / PI Territory. The survey included all SG notifications. In the graphs, tables and map presented, it is feasible to observe the current scenario of SG distribution in the various municipalities that make up the Vale do Rio Guaribas/PI territory and to score a larger cluster of SG cases in the municipality of Picos, with high rates of detection proving efficient in the notification of the disease. However, many municipalities did not present any notification of the disease, suggesting, therefore, underreporting of cases. In several municipalities, there is a lower number of SG notifications than that of congenital syphilis (SC), evidencing the underreporting of SG. The study showed that municipalities have priority in their work, as they are at risk for the occurrence of the disease, making it necessary to raise the awareness of managers, training and health education of this population and health professionalsItem Análises epidemiológica e espacial da Covid-19 no Estado do Piauí(Universidade Brasil, 2021) Macedo, Glauber Bezerra; Tim, Carla Roberta; Garcia, Lívia AssisThe emergence of a new coronavirus in humans, first diagnosed in 2019, has many deaths and serious survival and psychosocial consequences. Through statistical tools and techniques associated with geographic technologies, this ecological, analytical and exploratory study is being developed, whose general objective is to carry out epidemiological and spatial analyzes of the distribution of confirmed cases and deaths from Coronavirus 2019 disease (Coronavirus Disease 2019 - COVID-19), in the year 2020, in the state of Piauí, Brazil. The variables listed are being assigned via the IBGE and SESAPI database. All confirmed cases and deaths with COVID-19 infection that were reported in 2020 in that state were included in the study. In the epidemiological analyzes descriptive statistics were carried out and in the spatial analyses, maps are being constructed using geoprocessing techniques, through the statistical analysis of Moran Global and Local. Preliminary results showed that, in 2020, 143,179 confirmed cases and 2,840 deaths caused by COVID-19 were reported in Piauí. A higher percentage of cases was observed in relation to females, young adults, and deaths in elderly, males, with chronic diseases. The capital Piauiense led the number of cases and deaths from the disease, probably due to the high population density. However, when considering the incidence and mortality coefficients of COVID-19, the highest rates in the state were considered in the municipalities of União and Água Branca, respectively. The spatial analysis of the cases showed clusters of high-high pattern of cases of the disease in the metropolitan region of Teresina, the region between Rios and the region of Tabuleiros do Alto do Parnaíba. A high-high cluster for mortality was verified in fillings in the region of Entre Rios and Vale do Sambito. The analyzes performed provided the visualization of spatial clusters and an identification of vulnerable areas, resulting in information that was not visualized working only with tabular data.Item Análises epidemiológica e espacial da Covid-19 no Estado do Piauí(Universidade Brasil, 2021) Macedo, Glauber Bezerra; Garcia, Lívia Assis; Tim, Carla RobertaThe emergence of a new coronavirus in humans, first diagnosed in 2019, has many deaths and serious survival and psychosocial consequences. Through statistical tools and techniques associated with geographic technologies, this ecological, analytical and exploratory study is being developed, whose general objective is to carry out epidemiological and spatial analyzes of the distribution of confirmed cases and deaths from Coronavirus 2019 disease (Coronavirus Disease 2019 - COVID-19), in the year 2020, in the state of Piauí, Brazil. The variables listed are being assigned via the IBGE and SESAPI database. All confirmed cases and deaths with COVID-19 infection that were reported in 2020 in that state were included in the study. In the epidemiological analyzes descriptive statistics were carried out and in the spatial analyses, maps are being constructed using geoprocessing techniques, through the statistical analysis of Moran Global and Local. Preliminary results showed that, in 2020, 143,179 confirmed cases and 2,840 deaths caused by COVID-19 were reported in Piauí. A higher percentage of cases was observed in relation to females, young adults, and deaths in elderly, males, with chronic diseases. The capital Piauiense led the number of cases and deaths from the disease, probably due to the high population density. However, when considering the incidence and mortality coefficients of COVID-19, the highest rates in the state were considered in the municipalities of União and Água Branca, respectively. The spatial analysis of the cases showed clusters of high-high pattern of cases of the disease in the metropolitan region of Teresina, the region between Rios and the region of Tabuleiros do Alto do Parnaíba. A high-high cluster for mortality was verified in fillings in the region of Entre Rios and Vale do Sambito. The analyzes performed provided the visualization of spatial clusters and an identification of vulnerable areas, resulting in information that was not visualized working only with tabular data.