5 resultados para single case Study

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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The aim of the present single case study was to investigate oculomotor recovery in a patient with simultanagnosia due to biparietal hypoxic lesions. Applying visual exploration as well as basic oculomotor tasks in three consecutive test sessions--i.e. 8 weeks, 14 weeks, and 37 weeks after brain damage had occurred--differential recovery was observed. While visual exploration remarkably improved, an impaired disengagement of attention persisted. The improvement of exploration behaviour is interpreted within an oculomotor network theory and implications for a deficit-specific recovery from simultanagnosia are discussed.

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Abstract Objective: To evaluate the effectiveness of human recombinant activated factor VII (rhFVIIa, NovoSeven) in avoiding hysterectomy postpartum in the management of severe postpartum hemorrhage (PPH). Methods: We performed a prospective cohort study at our university tertiary care center. Patients with severe post partum hemorrhage (blood loss >2000 mL) and failed medical and uterus-preserving surgical management, were treated with intravenous bolus administration of rhVIIa. Main outcome measures were cessation of bleeding, postpartum hysterectomy and thromboembolic events. Results: In 20/22 patients included, PPH was caused primarily by uterine atony, including 7 (32%) with additional lower genital tract lesion; in two women, it was due to pathologic placentation (placenta increta, 9%). One case of amniotic fluid embolism and one woman with uterine inversion were included. Recombinant hFVIIa was successful in stopping the PPH and in preventing a hysterectomy in 20/22 women (91%). The remaining two patients with persistent bleeding despite rhFVIIa treatment, who underwent postpartum hysterectomy, had placenta increta. No thromboembolic event was noticed. Conclusions: This study describes the largest single center series of rhFVIIa treatment for fertility preservation in severe postpartum hemorrhage published to date. Our data suggest that administration of rhFVIIa is effective in avoiding postpartum hysterectomy after conservative medical and surgical measures have failed. Although randomized studies are lacking, rhFVIIa should be considered as a second-line therapeutic option of life-threatening postpartal bleeding, in particular if preservation of fertility is warranted and hysterectomy is to be avoided.

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Despite widespread use of species-area relationships (SARs), dispute remains over the most representative SAR model. Using data of small-scale SARs of Estonian dry grassland communities, we address three questions: (1) Which model describes these SARs best when known artifacts are excluded? (2) How do deviating sampling procedures (marginal instead of central position of the smaller plots in relation to the largest plot; single values instead of average values; randomly located subplots instead of nested subplots) influence the properties of the SARs? (3) Are those effects likely to bias the selection of the best model? Our general dataset consisted of 16 series of nested-plots (1 cm(2)-100 m(2), any-part system), each of which comprised five series of subplots located in the four corners and the centre of the 100-m(2) plot. Data for the three pairs of compared sampling designs were generated from this dataset by subsampling. Five function types (power, quadratic power, logarithmic, Michaelis-Menten, Lomolino) were fitted with non-linear regression. In some of the communities, we found extremely high species densities (including bryophytes and lichens), namely up to eight species in 1 cm(2) and up to 140 species in 100 m(2), which appear to be the highest documented values on these scales. For SARs constructed from nested-plot average-value data, the regular power function generally was the best model, closely followed by the quadratic power function, while the logarithmic and Michaelis-Menten functions performed poorly throughout. However, the relative fit of the latter two models increased significantly relative to the respective best model when the single-value or random-sampling method was applied, however, the power function normally remained far superior. These results confirm the hypothesis that both single-value and random-sampling approaches cause artifacts by increasing stochasticity in the data, which can lead to the selection of inappropriate models.