920 resultados para Neonatal Intensive Care Unit


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OBJECTIVE: To develop a new method to evaluate the performance of individual ICUs through the calculation and visualisation of risk profiles. METHODS: The study included 102,561 patients consecutively admitted to 77 ICUs in Austria. We customized the function which predicts hospital mortality (using SAPS II) for each ICU. We then compared the risks of hospital mortality resulting from this function with the risks which would be obtained using the original function. The derived risk ratio was then plotted together with point-wise confidence intervals in order to visualise the individual risk profile of each ICU over the whole spectrum of expected hospital mortality. MAIN MEASUREMENTS AND RESULTS: We calculated risk profiles for all ICUs in the ASDI data set according to the proposed method. We show examples how the clinical performance of ICUs may depend on the severity of illness of their patients. Both the distribution of the Hosmer-Lemeshow goodness-of-fit test statistics and the histogram of the corresponding P values demonstrated a good fit of the individual risk models. CONCLUSIONS: Our risk profile model makes it possible to evaluate ICUs on the basis of the specific risk for patients to die compared to a reference sample over the whole spectrum of hospital mortality. Thus, ICUs at different levels of severity of illness can be directly compared, giving a clear advantage over the use of the conventional single point estimate of the overall observed-to-expected mortality ratio.

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Objetivo: Avaliar a qualidade de vida relacionada à saúde (QVRS)de crianças sobreviventes à alta da terapia intensiva pediátrica. Métodos: Foi realizada uma avaliação prospectiva da QVRS na admissão e após 6 meses em crianças com idade igual ou superior a 6 anos, internadas em três unidades de terapia intensiva pediátricas (UTIPs) terciárias de maio de 2002 a junho de 2004. A QVRS foi avaliada com o questionário Health Utilities Index Mark 3 (HUI3), aplicado a um representante da criança. Resultados: Das 517 admissões elegíveis, 44 crianças faleceram na UTIP (8,5%) e 320 casos foram avaliados na admissão; entre eles, foi possível realizar o seguimento de 252 casos. Não foram encontradas diferenças estatisticamente significativas entre os escores globais do HUI3 antes da admissão e no seguimento [medianas (intervalo interquartil) de 0,86 (0,42-1,00) e 0,83 (0,45-1,00); p = 0,674, respectivamente]. No âmbito individual, 21% das crianças não apresentaram mudanças na QVRS, foi observada melhora em 40% e agravamento em 38% dos casos. Deficiência grave antes da admissão (escore global do HUI3 < 0,70)esteve presente em 36% dos casos, com melhora no seguimento aos 6 meses em 60% deles. Entre aqueles que apresentaram agravamento da QVRS no seguimento, 45% eram vítimas de trauma. Conclusões: Embora a QVRS seja globalmente semelhante nas duas avaliações, foram encontradas várias diferenças no âmbito individual. As crianças com baixa QVRS antes da admissão (deficiência grave) podem se beneficiar da terapia intensiva pediátrica, visto que muitas dessas crianças melhoraram a QVRS, em comparação com seu estado pré-admissão.

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ABSTRACT: Tobacco use remains the most significant modifiable cause of disability, death and illness1. In Portugal, 19,6% of the population aged ten years or more smoke3. A Cochrane review of 20087 concluded that a brief advice intervention (compared to usual care) can increase the likelihood of a smoker to quit and remain nonsmoker 12 months later by a further 1 to 3 %. Several studies have shown that Primary Care Physicians can play a key role in these interventions8,9,10. However we did not find studies about the effectiveness of brief interventions in routine consultations of Family Doctors in Portugal. For this reason we designed a Cohort Study to make an exploratory study about the effectiveness of brief interventions of less than three minutes in comparison with usual care in routine consultations. The study will be implemented in a Family Healthcare Unit in Beja, during six months. Family Doctors of the intervention group should be submitted for an educational and training program before the study begin. Quit smoking sustained rates will be estimated one year after the first intervention in each smoker. If, as we expect, quit smoking rates will be higher in the intervention group than in the control group, this may change Portuguese Family Doctors attitudes and increase the provision of brief interventions in routine consultations in Primary Healthcare Centers.

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RESUMO - A segurança do doente é um tema que tem sido amplamente estudado por todo o mundo. Com o desenvolvimento do conhecimento, das técnicas e o advento das learning organizations é possível detectar as áreas onde existe potencial risco, conhecer o número de incidentes de forma sistemática, promover a evolução das técnicas nas áreas mais urgentes, determinar o impacto de todos os incidentes e eventos adversos, aprender com eles e promover modificações nas organizações. A neonatologia não foi excepção, pelo que se pretende a criação e validação de um sistema de notificação de eventos adversos e de incidentes, anónimo e não punitivo, adaptado a uma Unidade de Cuidados Intermédios Neonatal. O delineamento do estudo passou pela revisão bibliográfica para a construção de um sistema e posterior análise do mesmo por um painel de especialistas, para a selecção e consenso de itens que integraram o modelo. Por fim este sistema foi sujeito a um pré-teste. Com a aplicação da Técnica de Grupo Nominal constatou-se que a confidencialidade dos dados é um tema muito sensível aos profissionais. Na aplicação do pré-teste as categorias de incidentes notificados relacionam-se com medicação, ventilação e identificação. Assim sendo, este sistema detém validade interna, no entanto com a aplicação do pré-teste verificou-se que este perde validade externa, pelo que os resultados apresentados neste projecto de investigação não podem ser generalizados. A notificação é uma área para a qual os profissionais estão sensibilizados, no entanto, ainda encontra muitos entraves à sua implementação e consequentemente à colheita de dados.

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INTRODUCTION: Methicillin-resistant Staphylococcus aureus (MRSA) is spread out in hospitals across different regions of the world and is regarded as the major agent of nosocomial infections, causing infections such as skin and soft tissue pneumonia and sepsis. The aim of this study was to identify risk factors for methicillin-resistance in Staphylococcus aureus bloodstream infection (BSI) and the predictive factors for death. METHODS: A retrospective cohort of fifty-one patients presenting bacteraemia due to S. aureus between September 2006 and September 2008 was analysed. Staphylococcu aureus samples were obtained from blood cultures performed by clinical hospital microbiology laboratory from the Uberlândia Federal University. Methicillinresistance was determined by growth on oxacillin screen agar and antimicrobial susceptibility by means of the disk diffusion method. RESULTS: We found similar numbers of MRSA (56.8%) and methicillin-susceptible Staphylococcus aureus (MSSA) (43.2%) infections, and the overall hospital mortality ratio was 47%, predominantly in MRSA group (70.8% vs. 29.2%) (p=0.05). Age (p=0.02) was significantly higher in MRSA patients as also was the use of central venous catheter (p=0.02). The use of two or more antimicrobial agents (p=0.03) and the length of hospital stay prior to bacteraemia superior to seven days (p=0.006) were associated with mortality. High odds ratio value was observed in cardiopathy as comorbidity. CONCLUSIONS: Despite several risk factors associated with MRSA and MSSA infection, the use of two or more antimicrobial agents was the unique independent variable associated with mortality.

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PURPOSE: This study aims to characterize the peri-intraventricular hemorrhages in the neonatal period in very low birth weight newborns in 2 institutions that provide neonatal tertiary assistance. METHOD: This was a comparative and observational study in 2 neonatal intensive care units, the Maternity Hospital of Campinas and the "Centro de Atenção Integrada à Saúde da Mulher" of the State University of Campinas, from December 01, 1998 to November 30, 1999. We examined 187 newborns for peri-intraventricular hemorrhages, using transfontanel ultrasound (76 and 11 respectively at the first and second unit), and classified them into 4 grades. We observed their gender, intrauterine growth, weight, and gestational age at birth. RESULTS: We diagnosed 34 cases of peri-intraventricular hemorrhages (13 and 21, respectively), and both groups differed as to the birth weight and the adequacy of weight to the gestational age at birth. There was no difference in the prevalence or extent of peri-intraventricular hemorrhages among cases. There was a statistically significant occurrence of lower birth weight at gestational ages of less than 30 weeks. CONCLUSIONS: The prevalence of peri-intraventricular hemorrhages in our study was compared to that reported in the world literature. Although the cases of the second institution had a smaller mean birth weight, the prevalence of peri-intraventricular hemorrhages was similar to that at the first institution, probably because in the first one, 69% of the gestational ages of the neonates with hemorrhage were less than 30 weeks as compared to 48% in the second one. We stress the importance of the ultrasonographic method for diagnosing peri-intraventricular hemorrhages in very low birth weight newborns.

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In Intensive Medicine, the presentation of medical information is done in many ways, depending on the type of data collected and stored. The way in which the information is presented can make it difficult for intensivists to quickly understand the patient's condition. When there is the need to cross between several types of clinical data sources the situation is even worse. This research seeks to explore a new way of presenting information about patients, based on the timeframe in which events occur. By developing an interactive Patient Timeline, intensivists will have access to a new environment in real-time where they can consult the patient clinical history and the data collected until the moment. The medical history will be available from the moment in which patients is admitted in the ICU until discharge, allowing intensivist to examine data regarding vital signs, medication, exams, among others. This timeline also intends to, through the use of information and models produced by the INTCare system, combine several clinical data in order to help diagnose the future patients’ conditions. This platform will help intensivists to make more accurate decision. This paper presents the first approach of the solution designed

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The occurrence of Barotrauma is identified as a major concern for health professionals, since it can be fatal for patients. In order to support the decision process and to predict the risk of occurring barotrauma Data Mining models were induced. Based on this principle, the present study addresses the Data Mining process aiming to provide hourly probability of a patient has Barotrauma. The process of discovering implicit knowledge in data collected from Intensive Care Units patientswas achieved through the standard process Cross Industry Standard Process for Data Mining. With the goal of making predictions according to the classification approach they several DM techniques were selected: Decision Trees, Naive Bayes and Support Vector Machine. The study was focused on identifying the validity and viability to predict a composite variable. To predict the Barotrauma two classes were created: “risk” and “no risk”. Such target come from combining two variables: Plateau Pressure and PCO2. The best models presented a sensitivity between 96.19% and 100%. In terms of accuracy the values varied between 87.5% and 100%. This study and the achieved results demonstrated the feasibility of predicting the risk of a patient having Barotrauma by presenting the probability associated.

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Tese de Doutoramento em Engenharia Industrial e de Sistemas

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Objectives. To study mother-to-infant emotional involvement at birth, namely factors (socio-demographics, previous life events, type of delivery, pain at childbirth, support from partner, infant characteristics, early experiences with the newborn, and mother’s mood) that interfere with the mother’s positive, negative and not clear emotions toward the newborn. Methods. The Bonding Scale (an extended Portuguese version of the ‘New Mother-to-Infant Bonding Scale’) and the Edinburgh Postnatal Depression Scale were administrated during the first after delivery days to 315 mothers recruited at Ju´lio Dinis Maternity Hospital (MJD, Porto, Portugal). Results. A worse emotional involvement with the newborn was observed when the mother was unemployed, unmarried, had less than grade 9, previous obstetrical/psychological problems or was depressed, as well as when the infant was female, had neonatal problems or was admitted in the intensive care unit. Lower total bonding results were significantly predicted when the mother was depressed and had a lower educational level; being depressed, unemployed and single predicted more negative emotions toward the infant as well. No significant differences in the mother-to-infant emotional involvement were obtained for events related to childbirth, such as type of delivery, pain and partner support, or early experiences with the newborn; these events do not predict mother’s bonding results either. Conclusion. The study results support the need for screening and supporting depressed, unemployed and single mothers, in order to prevent bonding difficulties with the newborn at birth.

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The decision support models in intensive care units are developed to support medical staff in their decision making process. However, the optimization of these models is particularly difficult to apply due to dynamic, complex and multidisciplinary nature. Thus, there is a constant research and development of new algorithms capable of extracting knowledge from large volumes of data, in order to obtain better predictive results than the current algorithms. To test the optimization techniques a case study with real data provided by INTCare project was explored. This data is concerning to extubation cases. In this dataset, several models like Evolutionary Fuzzy Rule Learning, Lazy Learning, Decision Trees and many others were analysed in order to detect early extubation. The hydrids Decision Trees Genetic Algorithm, Supervised Classifier System and KNNAdaptive obtained the most accurate rate 93.2%, 93.1%, 92.97% respectively, thus showing their feasibility to work in a real environment.

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