139 research outputs found

    The impact of stuttering on development of self-identity, relationships, and quality of life in women who stutter

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    Purpose: The experiences of women who stutter have been underresearched. Clinicians have little guidance from the research literature on issues specific to women who stutter and are likely to have less clinical contact with this group than with men who stutter because of the higher prevalence of stuttering in men. This study explored the experiences of a small group of women who stutter with a particular focus on what the main current issues are and how gender may have influenced experiences with stuttering. Method: This qualitative study involved recruitment of 9 women who stutter (aged 35-80 years) through a support network of people who stutter in Western Australia. All the women had received some form of speech therapy for stuttering, and they came from diverse cultural backgrounds. Individual, semistructured interviews were conducted, recorded, and transcribed verbatim. Data were managed with NVivo 10, and thematic analysis was used to identify recurring themes across the data. Data were coded independently by the researchers and refined through group discussion. Participants also completed the Overall Assessment of the Speaker\u27s Experience of Stuttering. Results: A core theme of gendered sense of self in society emerged from the data. This related to 3 broad themes: perceptions of self that were primarily negative, the impact of stuttering on relationships and social connection with others (relationships with family, peers, colleagues, and intimate partners), and the management of stuttering (internal coping, motivations, and experiences with external support). Conclusions: Stuttering has a pervasive impact on all aspects of women\u27s lives and affects how they view themselves, their relationships, their career potential, and their perceptions of how others view them in society. The women interviewed in this study often had negative self-perceptions and felt that their quality of life had been impacted by their stuttering. However, the women\u27s stories and experiences of stuttering were shaped by a broader context of perceived sociocultural expectations of females in society. Strong verbal communication was highlighted as a crucial factor in developing identity and forming relationships. This study highlights the need to be aware of the experiences of, and issues facing, women who stutter for clinicians to be more equipped, focused, and successful in their stuttering interventions for women

    The concept of negative pressure wound therapy (NPWT) after poststernotomy mediastinitis – a single center experience with 54 patients

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    Deep sternal infections, also known as poststernotomy mediastinitis, are a rare but often fatal complication in cardiac surgery. They are a cause of increased morbidity and mortality and have a significant socioeconomic aspect concerning the health system. Negative pressure wound therapy (NPWT) followed by muscular pectoralis plasty is a quite new technique for the treatment of mediastinitis after sternotomy. Although it could be demonstrated that this technique is at least as safe and reliable as other techniques for the therapy of deep sternal infections, complications are not absent. We report about our experiences and complications using this therapy in a set of 54 patients out of 3668 patients undergoing cardiac surgery in our institution between January 2005 and April 2007

    A gastrointestinal stromal tumor with mesenteric and retroperitoneal invasion

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    <p>Abstract</p> <p>Background</p> <p>Gastrointestinal stromal tumors are rare visceral sarcomas arising in the gastrointestinal tract wall. In this report we present a case of gastrointestinal stromal tumors with mesenteric and retroperitoneal invasion, describe and discuss its computed tomography findings.</p> <p>Case presentation</p> <p>A 57-years-old male patient has been complaining of abdominal distention, weight lose, and hematuria. During physical examination, significant distention and multiple palpable tumor masses were identified on the abdomen. Abdominal computed tomography showed multiple, well-defined, soft tissue masses with homogenous and heterogeneous pattern, in the mesenteric and retroperitoneal areas. Unlike specific features of gastrointestinal stromal tumor, renal obstruction and atypical central calcification without chemotherapy that has not been yet described were seen in this case. Computed tomography did not reveal liver metastases and/or the lymph nodes with pathological size. Ultrasonography-guided true-cut<sup>® </sup>biopsy was made, histopathologic and immunohistochemical analyses demonstrated stromal tumor which, C-KIT (+). The patient underwent left ureterectomy, left nephrectomy and total colectomy. Postoperative histopathological analyses revealed lower grade malignant GISTs. As of 17 months after the surgery, he is alive and free of recurrence.</p> <p>Conclusion</p> <p>When intraabdominal, multiple, large (>5 cm), well-circumscribed, homogenous or heterogeneous mass lesions without ascites, omental caking and lymph nodes metasteses were seen, gastrointestinal stromal tumors should be considered in the differential diagnosis.</p

    Wound contraction and macro-deformation during negative pressure therapy of sternotomy wounds

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    <p>Abstract</p> <p>Background</p> <p>Negative pressure wound therapy (NPWT) is believed to initiate granulation tissue formation via macro-deformation of the wound edge. However, only few studies have been performed to evaluate this hypothesis. The present study was performed to investigate the effects of NPWT on wound contraction and wound edge tissue deformation.</p> <p>Methods</p> <p>Six pigs underwent median sternotomy followed by magnetic resonance imaging in the transverse plane through the thorax and sternotomy wound during NPWT at 0, -75, -125 and -175 mmHg. The lateral width of the wound and anterior-posterior thickness of the wound edge was measured in the images.</p> <p>Results</p> <p>The sternotomy wound decreased in size following NPWT. The lateral width of the wound, at the level of the sternum bone, decreased from 39 ± 7 mm to 30 ± 6 mm at -125 mmHg (p = 0.0027). The greatest decrease in wound width occurred when switching from 0 to -75 mmHg. The level of negative pressure did not affect wound contraction (sternum bone: 32 ± 6 mm at -75 mmHg and 29 ± 6 mm at -175 mmHg, p = 0.0897). The decrease in lateral wound width during NPWT was greater in subcutaneous tissue (14 ± 2 mm) than in sternum bone (9 ± 2 mm), resulting in a ratio of 1.7 ± 0.3 (p = 0.0423), suggesting macro-deformation of the tissue. The anterior-posterior thicknesses of the soft tissue, at 0.5 and 2.5 cm laterally from the wound edge, were not affected by negative pressure.</p> <p>Conclusions</p> <p>NPWT contracts the wound and causes macro-deformation of the wound edge tissue. This shearing force in the tissue and at the wound-foam interface may be one of the mechanisms by which negative pressure delivery promotes granulation tissue formation and wound healing.</p

    Parents’ experiences of caring for a young person with neurofibromatosis type 1 (NF1): a qualitative study

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    Neurofibromatosis type 1 (NF1) is a variable and unpredictable genetic condition that can lead to changes to an individual’s appearance. Research has started to explore children’s and young people’s experiences of living with the condition; however, there is a lack of research with parents. This exploratory qualitative study set out to examine parents’ experiences of caring for a young person with NF1. Seven parents took part in semi structured interviews which were subjected to a thematic analysis. Three key themes were identified which related to managing the uncertainty of the condition, the impact of an altered appearance, and others’ awareness and understanding of NF1. Parents felt that understanding NF1 themselves in order to support their child was beneficial whilst a perceived lack of understanding by others was cited as a significant challenge. Parents require trustworthy information and also more widely call for greater understanding and awareness of the condition

    Challenges for automatically extracting molecular interactions from full-text articles

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    <p>Abstract</p> <p>Background</p> <p>The increasing availability of full-text biomedical articles will allow more biomedical knowledge to be extracted automatically with greater reliability. However, most Information Retrieval (IR) and Extraction (IE) tools currently process only abstracts. The lack of corpora has limited the development of tools that are capable of exploiting the knowledge in full-text articles. As a result, there has been little investigation into the advantages of full-text document structure, and the challenges developers will face in processing full-text articles.</p> <p>Results</p> <p>We manually annotated passages from full-text articles that describe interactions summarised in a Molecular Interaction Map (MIM). Our corpus tracks the process of identifying facts to form the MIM summaries and captures any factual dependencies that must be resolved to extract the fact completely. For example, a fact in the results section may require a synonym defined in the introduction. The passages are also annotated with negated and coreference expressions that must be resolved.</p> <p>We describe the guidelines for identifying relevant passages and possible dependencies. The corpus includes 2162 sentences from 78 full-text articles. Our corpus analysis demonstrates the necessity of full-text processing; identifies the article sections where interactions are most commonly stated; and quantifies the proportion of interaction statements requiring coherent dependencies. Further, it allows us to report on the relative importance of identifying synonyms and resolving negated expressions. We also experiment with an oracle sentence retrieval system using the corpus as a gold-standard evaluation set.</p> <p>Conclusion</p> <p>We introduce the MIM corpus, a unique resource that maps interaction facts in a MIM to annotated passages within full-text articles. It is an invaluable case study providing guidance to developers of biomedical IR and IE systems, and can be used as a gold-standard evaluation set for full-text IR tasks.</p

    Genome Wide Association Study to predict severe asthma exacerbations in children using random forests classifiers

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    <p>Abstract</p> <p>Background</p> <p>Personalized health-care promises tailored health-care solutions to individual patients based on their genetic background and/or environmental exposure history. To date, disease prediction has been based on a few environmental factors and/or single nucleotide polymorphisms (SNPs), while complex diseases are usually affected by many genetic and environmental factors with each factor contributing a small portion to the outcome. We hypothesized that the use of random forests classifiers to select SNPs would result in an improved predictive model of asthma exacerbations. We tested this hypothesis in a population of childhood asthmatics.</p> <p>Methods</p> <p>In this study, using emergency room visits or hospitalizations as the definition of a severe asthma exacerbation, we first identified a list of top Genome Wide Association Study (GWAS) SNPs ranked by Random Forests (RF) importance score for the CAMP (Childhood Asthma Management Program) population of 127 exacerbation cases and 290 non-exacerbation controls. We predict severe asthma exacerbations using the top 10 to 320 SNPs together with age, sex, pre-bronchodilator FEV1 percentage predicted, and treatment group.</p> <p>Results</p> <p>Testing in an independent set of the CAMP population shows that severe asthma exacerbations can be predicted with an Area Under the Curve (AUC) = 0.66 with 160-320 SNPs in comparison to an AUC score of 0.57 with 10 SNPs. Using the clinical traits alone yielded AUC score of 0.54, suggesting the phenotype is affected by genetic as well as environmental factors.</p> <p>Conclusions</p> <p>Our study shows that a random forests algorithm can effectively extract and use the information contained in a small number of samples. Random forests, and other machine learning tools, can be used with GWAS studies to integrate large numbers of predictors simultaneously.</p
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