9 resultados para Índice de gravidade do trauma
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
Descriptive exploratory study, prospective, with quantitative approach, performed on the Monsenhor Walfredo Gurgel Hospital Complex (MWGHC), in Natal/RN, aiming to identify injuries by body area and wound severity on drivers who suffered motorcycle accidents, evaluate the severity of injuries and trauma on these drivers and identify the existence of association between wound and trauma severity and some of the accident s characteristics. The population comprised 371 motorcycle drivers, with data collected between October and December 2007. We used as instruments the Abberviated Injury Scale (AIS), Injury Severity Score (ISS) and the Glasgow Coma Scale (GCE1). The results show that, concerning characterization, there was a predominance of the male gender (88.4%), aged between 18 and 24 years (39.90%), originating from the Natal metropolitan region (55.79%), with fundamental-level instruction (51.48%), catholic (75.78%), married (47.98%). 23.18% work on commerce-related activities and 75.20% have income of up to 2 minimum wages. As for the accident s characteristics, the predominant shift was the afternoon (46.36%), received up to one hour after the event (50.67%), transported by countryside ambulances colleagues and relatives (51.21%), 25.34% had the accident on Sunday; 53.91% suffered falls and vehicle rolls; among the collisions there was a predominance of the motorcycle-automoblie type (28.03%); 52,6% were licensed and among these 50.76% had up to one year of license; 65.50% declared not having suffered previous accidents; 65.77% declared waring helmets in the time of the accident; 57.41% said not to have used drugs, and among those who used, alcohol was the most consumed (98.10%). The lowest score evaluated by GCS1 (3 to 8) was linked to drivers who suffered accidents on Saturday (10.3%), those who were not wearing helmets (14.29%) and the victims of motorcycle-pedestrian/animal crashes (13.33%). The body areas most affected had AIS between 1 and 3 (95.76%) and were: external surface (39.90%) and head/neck (33.20%). As for trauma severity, the highest scores (ISS>25) belonged to those who consumed alcohol (30.73%), suffered falls or vehicle rolls (48.9%) and those attended to 3 hours or longer after the accident (50%). We conclude that for motorcycle drivers who suffered accidents, age, gender, weekday, type of accident, use of drugs and the absence of helmet use signal both to the risk of occurrence of these events, as well as for the greater severity of injuries and trauma.
Resumo:
Descriptive exploratory study, with quantitative approach and prospective data performed on the Monsenhor Walfredo Gurgel Hospital Complex (MWGH), in Natal/RN, aiming to classify the type of motor vehicle involved in the accident, the public roadway s user quality and the more frequent injuries; to evaluate the severity of trauma in traffic accident victims; characterized the severity of the injuries and the trauma, and the type of motor vehicle involved. The population comprises 605 traffic accident victims, with data collected between October and December 2007. We used as a support for the evaluation of severity of injuries and trauma the Glasgow Coma Scale (GCSl), the Condensed Abbreviated Injury Scale (CAIS) and the Injury Severity Score (ISS). The results show that 82.8% of the victims were male; 78.4% were aged 18 to 38; the victims originating from the State s Countryside prevailed (43.1%); 24.3% of the population had completed middle-level instruction; 23.1% worked on commerce and auxiliary activities; most (79.4%) was catholic; 48.8% were married/consensual union; 76.2% earned up to two monthly minimum wages; Sunday was the day with the most accidents (25.1%); 47.4% were attended to in under an hour after the event; the motorcycle on its own was responsible for 53.2% of the accidents; 42.3% were attended to by the SAMU; 61.8% were victims of crashes; over half (53.4%) used individual protection equipment (IPE); 49.4% were helmets and 4.0% the seatbelt; 61.3% were motorcycle drivers; 43.3% of the accidents took place in the afternoon shift; from 395 drivers, 55.2% were licensed, and 50.7% among those had been licensed for 1 to 5 years; 90.7% of the victims had GCS1 between 13 and 15 points at the time of evaluation; the body area most affected was the external surface (35.9%); 38.8% of the injuries were light or moderate (AIS=1 and AIS=2); 83.2% had light trauma (ISS between 1 and 15 points). In face of the results, we can conclude that there is a risk for the elevation of injury severity and trauma resulting from traffic accidents, when these events are related to certain variables such as gender, age, weekday, the interval between the accident and the first care, ingestion of drugs, type of accident, the public roadway s user quality, the use of IPE, day shift, body regions and the type of motor vehicle involved in the accident
Resumo:
The insomnia disorder is defined as a difficulty initiating or maintaining sleep or waking up earlier than expected unable to return to sleep, followed by a feeling of nonrestorative and poor quality sleep, present for at least three months, with consequences on daytime functioning. Studies have shown that insomnia affects cognitive function, especially executive functions. However, researches that sought to investigate the relationship between primary insomnia and executive functioning were quite inconsistent from a methodological point of view, especially in regard to the variability of the used methods, the heterogeneity of diagnostic criteria for insomnia and the control of sleep altering drugs. In this sense, the present study aimed to investigate the relationship between insomnia and executive functions in adults. The participants were 29 people, from both genders, aged 20-55 years old. Participants were divided into three groups, one composed of 10 people with primary insomnia who used sleep medication (GIM), nine people with primary insomnia who did not use medication (GInM) and 10 healthy people who composed the control group (CG). The research was conducted in two stages. The first one involved a diagnostic evaluation for insomnia disorder through a clinical interview and the application of the following protocols: the Athens Insomnia Scale, the Insomnia Severity Index, Sleep Journal (for 14 days), Pittsburgh Sleep Quality Index (PSQI), the Stanford Sleepiness Test, depression and anxiety Beck inventories, and Lipp’s Iventory of stress symptoms for adults. After this stage, the evaluation of executive functions was performed by applying a battery of neuropsychological tests composed by the following tests: Wisconsin, Stoop Test, Colored trails Test, the Tower of London Test, Iowa Gambling Task (IGT) and WAIS III subtest digit span, which measured selective attention, inhibitory control, cognitive flexibility, planning, problem solving, decision making and working memory, respectively. The results showed that insomniacs (GIM and GInM) showed higher sleep latency, shorter sleep duration and lower sleep efficiency compared to the CG. In regard to the performance in executive functions, no statistically significant difference between groups was observed in the evaluated modalities. However, the data show evidence that, compared to GInM and GC, the performance of GIM was lower on tasks that required quick responses and changes in attention focus. On the other hand, GInM, when compared to GIM and GC, showed a better performance on tasks involving cognitive flexibility. Furthermore, impaired sleep measures were correlated with the worst performance of insomniacs in all components evaluated. In conclusion, people with the insomnia disorder showed a performance similar to healthy people’s in components of the executive functioning. Thus, one can infer that there is a relationship between primary insomnia and executive functions in adults.
Resumo:
Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model
Resumo:
The increase in ultraviolet radiation (UV) at surface, the high incidence of non-melanoma skin cancer (NMSC) in coast of Northeast of Brazil (NEB) and reduction of total ozone were the motivation for the present study. The overall objective was to identify and understand the variability of UV or Index Ultraviolet Radiation (UV Index) in the capitals of the east coast of the NEB and adjust stochastic models to time series of UV index aiming make predictions (interpolations) and forecasts / projections (extrapolations) followed by trend analysis. The methodology consisted of applying multivariate analysis (principal component analysis and cluster analysis), Predictive Mean Matching method for filling gaps in the data, autoregressive distributed lag (ADL) and Mann-Kendal. The modeling via the ADL consisted of parameter estimation, diagnostics, residuals analysis and evaluation of the quality of the predictions and forecasts via mean squared error and Pearson correlation coefficient. The research results indicated that the annual variability of UV in the capital of Rio Grande do Norte (Natal) has a feature in the months of September and October that consisting of a stabilization / reduction of UV index because of the greater annual concentration total ozone. The increased amount of aerosol during this period contributes in lesser intensity for this event. The increased amount of aerosol during this period contributes in lesser intensity for this event. The application of cluster analysis on the east coast of the NEB showed that this event also occurs in the capitals of Paraiba (João Pessoa) and Pernambuco (Recife). Extreme events of UV in NEB were analyzed from the city of Natal and were associated with absence of cloud cover and levels below the annual average of total ozone and did not occurring in the entire region because of the uneven spatial distribution of these variables. The ADL (4, 1) model, adjusted with data of the UV index and total ozone to period 2001-2012 made a the projection / extrapolation for the next 30 years (2013-2043) indicating in end of that period an increase to the UV index of one unit (approximately), case total ozone maintain the downward trend observed in study period
Resumo:
To evaluate sleep disorder complaints in outpatients with depressive disorder from a general hospital. Methods: An observational, cross-sectional study was carried out with a study sample composed of 70 patients (44 women and 26 men) with diagnosis of depressive disorder, according to the DSM-IV criteria. The patients were interviewed and evaluated by the Identification Questionnaire, the Sleep Habits Questionnaire and the Beck Depression Inventory (BDI). Results: In this study, 50 (71.3%) patients had recurrence of sleep disorder complaints. Mean BDI score was 35.83+8.85, with significant differences between patients with (38.50+8.70) and without (29.60+7.80) recurrence (p<0.05) and among patients with 1, 2, 3 and >3 episodes (p<0.05). In this study, 49 (70%) patients had insomnia and 21 (30%) had subjective excessive sleepiness. Significant differences were observed between the mean duration in months of the sleep disorders (7.16+2.10) and the depressive disorder (6.12+1.90) (p<0.05). Discussion: In the study sample, recurrence of sleep disorder complaints was high and significantly associated with severe depression. Insomnia was prevalent and the mean duration of sleep disorders was higher in relation to depressive disorder
Resumo:
Preeclampsia is defined as an extremely serious complication of the pregnancy-puerperium cycle with delayed emergence of cardiovascular risk factors, including metabolic syndrome. The research aimed estimate the prevalences of metabolic syndrome and associated factors in women with preeclampsia and normal pregnancy followed five years after childbirth. This is a cross-sectional observational study using a quantitative approach, conducted at a maternity school in the city of Natal in Rio Grande do Norte state. The sample was composed of 70 women with previous preeclampsia and 75 normal selected by simple random probability sampling. Subjects were analyzed for sociodemographic, obstetric, clinical, anthropometric and biochemical parameters. International Diabetes Federation criteria were adopted to diagnose metabol ic syndrome. The Kolmogorov-Smirnov, Mann-Whitney, Student s t, Pearson s chi-squared, and Fisher s exact tests, in addition to simple logistic regression, were used for data analysis, at a 5% significance level (p ≤ 0.05). Statistical tests demonstrated elevated body mass index (p = 0.001), predominance of family history of diabetes mellitus (p = 0.022) and significantly higher prevalence of metabolic syndrome in the preeclampsia group (37.1%) when compared to normal (22.7%) (p = 0.042). Intergroup comparison showed a high number of metabolic syndrome components in women with previous preeclampsia. Altered systolic and diastolic blood pressure (p < 0.001) was the most prevalent, followed by low concentrations of high-density lipoproteins (p = 0.049), and hyperglycemia (p=0.030). There was a predominance of the metabolic syndrome in women with schooling 0-9 years (42.4%) (p = 0.005), body mass index above 30Kg.m 2 (52.3%) (p < 0.001), uric acid high (62.5%) (p = 0.050 and family history of hypertension (38.5%) (p< 0.001). Multivariate analysis of the data showed that the body mass index above 30 kg.m2, education level less than 10 years of study (p < 0.001) and family history of hypertension (p = 0.002) remained associated with the metabolic syndrome after multivariate analysis of the data. It is considered Women with previous preeclampsia exhibited high prevalence of metabolic syndrome and their individual components in relation to normal, especially, altered systolic and diastolic blood pressure, low concentrations of high-density lipoproteins and hyperglycemia. The factors associated to this ou tcome were obesity, less than 10 years of schooling, and family history of hypertension. Overall, this study identified young women with a history of PE exposed to a higher cardiovascular risk than normal
Efeitos da deficiência de vitamina A na função pulmonar de crianças após infecção respiratória viral
Resumo:
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Resumo:
Universidade Estadual do Rio Grande do Norte