La adhesión de las enfermeras al Método Canguro: subvención para la administración del cuidado de enfermería

;;OBJETIVO:;; construir um modelo teórico explicativo acerca da adesão das enfermeiras ao Método Canguru na Unidade de Terapia Intensiva Neonatal, a partir dos significados e interações para a gerência do cuidado.;;;;MÉTODO:;; pesquisa qualitativa, guiada pelo referencial da Grounded Theory. Foram entrevistadas oito enfermeiras de uma Unidade de Terapia Intensiva Neonatal da cidade do Rio de Janeiro. A análise comparativa dos dados percorreu as etapas de codificação aberta, axial e seletiva, sendo construído um modelo teórico do tipo condicional-causal.;;;;RESULTADOS:;; emergiram quatro categorias principais que compuseram o paradigma de análise: Vestindo a camisa do Método Canguru; Trabalhando com a complexidade do Método Canguru; Encontrando (des)motivação para aplicar o Método Canguru; e Deparando-se com os desafios para a adesão e aplicação do Método Canguru.;;;;CONCLUSÕES:;; o fenômeno central revelou que cada enfermeira e profissional da equipe possui um papel de multiplicador de valores e práticas que podem ou não ser construtivas, influenciando potencialmente na (des)continuidade do Método Canguru na Unidade de Terapia Intensiva Neonatal. Os achados podem ser utilizados para o delineamento de estratégias gerenciais que ultrapassem os cursos e treinamentos e garantam o fortalecimento do modelo assistencial.;;;;OBJECTIVE:;; construct an explanatory theoretical model about nurses' adherence to the Kangaroo Care Method at the Neonatal Intensive Care Unit, based on the meanings and interactions for care management.;;;;METHOD:;; qualitative research, based on the reference framework of the Grounded Theory. Eight nurses were interviewed at a Neonatal Intensive Care Unit in the city of Rio de Janeiro. The comparative analysis of the data comprised the phases of open, axial and selective coding. A theoretical conditional-causal model was constructed.;;;;RESULTS:;; four main categories emerged that composed the analytic paradigm: Giving one's best to the Kangaroo Method; Working with the complexity of the Kangaroo Method; Finding (de)motivation to apply the Kangaroo Method; and Facing the challenges for the adherence to and application of the Kangaroo Method.;;;;CONCLUSIONS:;; the central phenomenon revealed that each nurse and team professional has a role of multiplying values and practices that may or may not be constructive, potentially influencing the (dis)continuity of the Kangaroo Method at the Neonatal Intensive Care Unit. The findings can be used to outline management strategies that go beyond the courses and training and guarantee the strengthening of the care model.;;;;OBJETIVO:;; construir un modelo teórico explicativo acerca de la adhesión de las enfermeras al Método Canguro en la Unidad de Terapia Intensiva Neonatal, a partir de los significados e interacciones para la administración del cuidado.;;;;MÉTODO:;; investigación cualitativa, guiada por el referencial de la Grounded Theory. Fueron entrevistadas ocho enfermeras de una Unidad de Terapia Intensiva Neonatal de la ciudad de Rio de Janeiro. El análisis comparativo de los datos recorrió las etapas de codificación abierta, axial y selectiva, siendo construido un modelo teórico del tipo condicional-causal.;;;;RESULTADOS:;; surgieron cuatro categorías principales que compusieron los paradigmas del análisis: Vistiendo la camisa del Método Canguro; Trabajando con la complejidad del Método Canguro; Encontrando (des)motivación para aplicar el Método Canguro; y Encontrando los desafíos para la adhesión y aplicación del Método Canguro.;;;;CONCLUSIONES:;; el fenómeno central reveló que cada enfermera y profesional del equipo posee un papel de multiplicador de valores y prácticas que pueden o no ser constructivas, influenciando potencialmente en la (des)continuidad del Método Canguro en la Unidad de Terapia Intensiva Neonatal. Los hallazgos pueden ser utilizados para el delineamiento de estrategias de administración que sobrepasen los cursos y entrenamientos y garanticen el fortalecimiento del modelo asistencial.;

Time-to-birth prediction models and the influence of expert opinions

Preterm birth is the leading cause of death among children under five years old. The pathophysiology and etiology of preterm labor are not yet fully understood. This causes a large number of unnecessary hospitalizations due to high--sensitivity clinical policies, which has a significant psychological and economic impact. In this study, we present a predictive model, based on a new dataset containing information of 1,243 admissions, that predicts whether a patient will give birth within a given time after admission. Such a model could provide support in the clinical decision-making process. Predictions for birth within 48 h or 7 days after admission yield an Area Under the Curve of the Receiver Operating Characteristic (AUC) of 0.72 for both tasks. Furthermore, we show that by incorporating predictions made by experts at admission, which introduces a potential bias, the prediction effectiveness increases to an AUC score of 0.83 and 0.81 for these respective tasks

ISUOG Practice Guidelines: diagnosis and management of small-for-gestational-age fetus and fetal growth restriction

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A critical look at studies applying over-sampling on the TPEHGDB dataset

Preterm birth is the leading cause of death among young children and has a large prevalence globally. Machine learning models, based on features extracted from clinical sources such as electronic patient files, yield promising results. In this study, we review similar studies that constructed predictive models based on a publicly available dataset, called the Term-Preterm EHG Database (TPEHGDB), which contains electrohysterogram signals on top of clinical data. These studies often report near-perfect prediction results, by applying over-sampling as a means of data augmentation. We reconstruct these results to show that they can only be achieved when data augmentation is applied on the entire dataset prior to partitioning into training and testing set. This results in (i) samples that are highly correlated to data points from the test set are introduced and added to the training set, and (ii) artificial samples that are highly correlated to points from the training set being added to the test set. Many previously reported results therefore carry little meaning in terms of the actual effectiveness of the model in making predictions on unseen data in a real-world setting. After focusing on the danger of applying over-sampling strategies before data partitioning, we present a realistic baseline for the TPEHGDB dataset and show how the predictive performance and clinical use can be improved by incorporating features from electrohysterogram sensors and by applying over-sampling on the training set

Detection of Brazilian spotted fever infection by polymerase chain reaction in a patient from the state of Sao Paulo

Brazilian spotted fever (BSF) cases have been increasing in the state of Sao Paulo but no genomic information about local rickettsia isolated from humans has been well documented. We recovered spotted-fever group rickett-siae from a sample of patient blood cultured in Vero cells using the shell vial technique. Rickettsial DNA fragments (gltA, ompA, and, ompB genes) were detected, and analysis of the ompB gene base sequences showed identity with the Rickettsia rickettsii ompB sequence available in the GenBank.100327727

A biophysical model of cell adhesion mediated by immunoadhesin drugs and antibodies

A promising direction in drug development is to exploit the ability of natural killer cells to kill antibody-labeled target cells. Monoclonal antibodies and drugs designed to elicit this effect typically bind cell-surface epitopes that are overexpressed on target cells but also present on other cells. Thus it is important to understand adhesion of cells by antibodies and similar molecules. We present an equilibrium model of such adhesion, incorporating heterogeneity in target cell epitope density and epitope immobility. We compare with experiments on the adhesion of Jurkat T cells to bilayers containing the relevant natural killer cell receptor, with adhesion mediated by the drug alefacept. We show that a model in which all target cell epitopes are mobile and available is inconsistent with the data, suggesting that more complex mechanisms are at work. We hypothesize that the immobile epitope fraction may change with cell adhesion, and we find that such a model is more consistent with the data. We also quantitatively describe the parameter space in which binding occurs. Our results point toward mechanisms relating epitope immobility to cell adhesion and offer insight into the activity of an important class of drugs.Comment: 13 pages, 5 figure

Human Echinococcosis Mortality in the United States, 1990–2007

Human echinococcosis is a parasitic disease that affects an estimated 2–3 million people and results in an annual monetary loss of over $750,000,000 worldwide. It results in the development of life threatening tissue cysts, primarily in the liver and lung, following accidental ingestion of eggs in infected dog, fox or wild canine feces. Echinococcus parasites have a complex, two-host lifecycle (such as in dogs and sheep) in which humans are an aberrant, dead-end host. The vast majority of cases of human echinococcosis occur outside of the United States (US); however, cases within the US do occur. In this study, the authors examined death certificate data of US residents from 1990–2007 in which echinococcosis was listed as one of the diagnoses at death. The analysis demonstrated 41 echinococcosis-related deaths over the 18-year study period with foreign-born persons accounting for the majority of the deaths. This study helps quantify echinococcosis deaths among US residents and adds further support to the importance of funding echinococcosis prevention research