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Knudsen Pontoppidan posted an update 1 day, 4 hours ago
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Concealing the hydration fluid had significant effects on degree of nausea and vomiting in pediatric oncology patient who received hydration before chemotherapy.
This approach can be added as routine care as an effective non pharmacological intervention for pediatric oncology patient with receiving chemotherapy.
This approach can be added as routine care as an effective non pharmacological intervention for pediatric oncology patient with receiving chemotherapy.
To identify barriers that transcend multiple adult care specialties and identify potential solutions.
Twenty-one adult care providers practicing in the specialty areas of internal medicine, family medicine, gastroenterology, endocrinology, and neurology participated in one of six semi-structured focus group interviews. Data were coded and analyzed according to the Socio-ecological Model of Adolescent/Young Adult Readiness for Transition (SMART).
Three themes and one subtheme emerged from the data. These fell within the beliefs/expectations, knowledge, access/insurance, and relationships (subtheme) domains of the SMART model. Family beliefs/expectations regarding the provider role, difficulty accessing reliable information, and limited access to mental health and behavioral providers reportedly affect providers’ ability to provide optimal health care.
Adult providers identified several barriers affecting their ability to care for newly transferred patients. Increased education of families and improved orld to expand patient access to medical, mental health, and behavioral services.
As technology use increasingly expands, the opportunity to capitalize on it for healthcare education, monitoring, and assessment has grown rapidly, especially among adolescent patients. As apps are developed, consideration should be given to self-management theory concepts.
The proliferation of mobile health (mHealth) applications allows adolescents to access healthcare information in new, innovative ways. Many health applications focus on health promotion, fitness, and nutrition and others help persons with chronic disease. This article offers a compelling case for incorporating mHealth into teen healthcare by reviewing current data on teens’ technology use, showing how mHealth aligns with self-management theory concepts, and offering a case scenario on mHealth-enhanced self-management care.
The ability to combine accurate and immediate healthcare information with continual social support could radically improve teen’s self-management behaviors, especially when mHealth apps use connectivity, a feedback loop, and concepts known to enhance self-management behaviors.
The ability to combine accurate and immediate healthcare information with continual social support could radically improve teen’s self-management behaviors, especially when mHealth apps use connectivity, a feedback loop, and concepts known to enhance self-management behaviors.The quality of magnetic resonance (MR) images obtained with different instruments and imaging parameters varies greatly. A large number of heterogeneous images are collected, and they suffer from acquisition variation. Such imaging quality differences will have a great impact on the radiomics analysis. The main differences in MR images include modality mismatch (M), intensity distribution variance (I), and layer-spacing differences (L), which are referred to as MIL differences in this paper for convenience. An MIL normalization system is proposed to reconstruct uneven MR images into high-quality data with complete modality, a uniform intensity distribution and consistent layer spacing. Three radiomics tasks, including tumor segmentation, pathological grading and genetic diagnosis of glioma, were used to verify the effect of MIL normalization on radiomics analysis. Three retrospective glioma datasets were analyzed in this study BraTs (285 cases), TCGA (112 cases) and HuaShan (403 cases). NSC 23766 They were used to test the effect of MIL on three different radiomics tasks, including tumor segmentation, pathological grading and genetic diagnosis. MIL normalization included three components multimodal synthesis based on an encoder-decoder network, intensity normalization based on CycleGAN, and layer-spacing unification based on Statistical Parametric Mapping (SPM). The Dice similarity coefficient, areas under the curve (AUC) and six other indicators were calculated and compared after different normalization steps. The MIL normalization system can improved the Dice coefficient of segmentation by 9% (P less then .001), the AUC of pathological grading by 32% (P less then .001), and IDH1 status prediction by 25% (P less then .001) when compared to non-normalization. The proposed MIL normalization system provides high-quality standardized data, which is a prerequisite for accurate radiomics analysis.Atherosclerosis as a common cardiovascular disease is a result of both adverse hemodynamics conditions and monocyte deposition within coronary arteries. It is known that the adhesion of monocytes on the arterial wall and their interaction with the vascular surface are one of the main parameters in the initiation and progression of atherosclerosis. In this work, hemodynamic parameters and monocyte deposition have been investigated in a 3D computational model of the Left Anterior Descending coronary artery (LAD) and its first diagonal branch (D1) under the heart motion. A one-way Lagrangian approach is performed to trace the monocyte particles under different blood flow regimes and heart motion conditions. The hemodynamic results show that the myocardial wall, and also the flow divider wall can be candidates for atheroprone sites. The dynamic movement and pulsatile inlet changed the flow rate between branches about 21% compared to the static case and steady inlet. On the other hand, the calculation of monocytes’ depositional behavior illustrates that they settle down downstream the LAD-D1 bifurcation and on the myocardial wall. The deposition rate is closely associated with the inlet type and changing the steady inlet to the sinusoidal and real physiologic profile showed a 150% increase in the deposition rate. These results ensure that the myocardial wall and LAD-D1 bifurcation are the desirable locations for atherosclerosis. These results are in good agreement with the clinical observations.