Parkerskaarup2170
Severe agitation and its relation to single dimensions of quality of life are not well understood. The aim of this study was to gain more knowledge about severe agitation and to examine the relationships between the severity of agitation and single dimensions of quality of life among residents with dementia living in German nursing homes.
This exploratory secondary analysis included data from 1947 residents of 66 German nursing homes from the DemenzMonitor study. The construct of agitation was defined as a composite score of the items agitation/aggression, irritability/lability and disinhibition from the Neuropsychiatric Inventory Questionnaire (NPI-Q); the resident was classified as severely agitated if at least one of these symptoms was rated as 'severe'. The single dimensions of quality of life were measured with the short version of the QUALIDEM instrument. To avoid selection bias, two controls with mild or no agitation were selected for each resident with severe agitation using propensity score matchent. Therefore, more attention should be paid to severe agitation in nursing practice and research. Moreover, care strategies used to reduce severe agitation should be considered in terms of their impact on the dimensions of quality of life.
Severe agitation is a relevant phenomenon among nursing home residents with dementia and is associated with lower values of quality of life in the dimensions social isolation, restless tense behaviour, positive affect and social relations from the QUALIDEM instrument. Therefore, more attention should be paid to severe agitation in nursing practice and research. Moreover, care strategies used to reduce severe agitation should be considered in terms of their impact on the dimensions of quality of life.
The laboratory plays a critical role in tuberculosis (TB) control by providing testing for diagnosis, treatment monitoring, and surveillance at each level of the health care system. Weak accessibility to TB diagnosric services still represents a big concern in many limited resources' countries. Here we report the experience of Burkina Faso in implementing a comprehensive intervention packages to strengthen TB laboratory capacity and diagnostic accessibility.
The intervention lasted from October 2016 to December 2018 and focused on two main areas i) development of strategic documents and policies; ii) implementation of TB diagnostic technology. National TB laboratory data were collected between 2016 and 2018 and evaluated according to five programmatic TB laboratory indicators i) Percentage of notified new and relapse TB cases with bacteriological confirmation; ii) Percentage of notified new and relapse TB cases tested by Xpert MTB/RIF; iii) Percentage of notified, bacteriologically confirmed TB cases withinterventions led to a significant improvement of all indicators. External technical assistance played a key role in speeding up the TB laboratory system improvement process.
We demonstrated that the implementation of a comprehensive package of laboratory strengthening interventions led to a significant improvement of all indicators. External technical assistance played a key role in speeding up the TB laboratory system improvement process.
This study explores and analyzes the clinical characteristics and prognostic factors of hepatoblastoma (HB) in children under 6 years old and establishes a new risk-stratification system for individualized therapy.
The clinical data of 382 pediatric patients under 6 years old (231 males and 151 females) who had been diagnosed with HB by pathology between May 2005 and May 2019 were collected. By analyzing the risk factors influencing the survival rate of patients with HB, a new risk-stratification system was established, and it was compared with previous risk-stratification systems by a receiver operating characteristic (ROC) curve.
(1) According to a Kaplan-Meier survival analysis, the one-year, three-year, and five-year overall survival (OS) was 93.7, 84.0, and 73.9%, respectively, and the event-free survival (EFS) was 90.5, 79.2, and 67.5%, respectively. (2) The independent risk factors influencing prognosis in pediatric patients with HB were alpha-fetoprotein (AFP) < 100 ng/ml or > 1000 ng/ml (atification systems.
Active patients lie at the heart of integrated care. Although interventions to increase the participation of older patients in care planning are being implemented in several countries, there is a lack of knowledge about the interactions involved and how they are experienced by older patients with multimorbidity. We explore this issue in the context of care-planning meetings within Norwegian municipal health services.
This qualitative study drew on direct observations of ten care-planning meetings and an interview with each patient right after the meeting. Following a stepwise-deductive induction approach, the analysis began inductively and then considered the interactions through the lens of game theory.
The care-planning interactions were influenced by uncertainty about the course of the disease and how to plan service delivery. In terms derived from game theory, the imaginary and unpredictable player 'Nature' generated uncertainty in the 'game' of care planning. Zegocractin The 'players' assessed this uncertaintyent participation may partly be associated with how the various actors appraise and respond to uncertainty. Dialogue on uncertainty in care-planning interventions could help to increase patient participation.
In oncology, the correct determination of nodal metastatic disease is essential for patient management, as patient treatment and prognosis are closely linked to the stage of the disease. The aim of the study was to develop a tool for automatic 3D detection and segmentation of lymph nodes (LNs) in computed tomography (CT) scans of the thorax using a fully convolutional neural network based on 3D foveal patches.
The training dataset was collected from the Computed Tomography Lymph Nodes Collection of the Cancer Imaging Archive, containing 89 contrast-enhanced CT scans of the thorax. A total number of 4275 LNs was segmented semi-automatically by a radiologist, assessing the entire 3D volume of the LNs. Using this data, a fully convolutional neuronal network based on 3D foveal patches was trained with fourfold cross-validation. Testing was performed on an unseen dataset containing 15 contrast-enhanced CT scans of patients who were referred upon suspicion or for staging of bronchial carcinoma.
The algorithm achieved a good overall performance with a total detection rate of 76.
