scholarly journals Current and emerging treatment strategies for children with progressive chiasmatic-hypothalamic glioma diagnosed as infants: a web-based survey

2017 ◽  
Vol 136 (1) ◽  
pp. 127-134 ◽  
Author(s):  
Amedeo A. Azizi ◽  
Antoinette Y. N. Schouten-van Meeteren
2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Vi Ngoc-Nha Tran ◽  
Alireza Shams ◽  
Sinan Ascioglu ◽  
Antal Martinecz ◽  
Jingyi Liang ◽  
...  

Abstract Background As antibiotic resistance creates a significant global health threat, we need not only to accelerate the development of novel antibiotics but also to develop better treatment strategies using existing drugs to improve their efficacy and prevent the selection of further resistance. We require new tools to rationally design dosing regimens from data collected in early phases of antibiotic and dosing development. Mathematical models such as mechanistic pharmacodynamic drug-target binding explain mechanistic details of how the given drug concentration affects its targeted bacteria. However, there are no available tools in the literature that allow non-quantitative scientists to develop computational models to simulate antibiotic-target binding and its effects on bacteria. Results In this work, we have devised an extension of a mechanistic binding-kinetic model to incorporate clinical drug concentration data. Based on the extended model, we develop a novel and interactive web-based tool that allows non-quantitative scientists to create and visualize their own computational models of bacterial antibiotic target-binding based on their considered drugs and bacteria. We also demonstrate how Rifampicin affects bacterial populations of Tuberculosis bacteria using our vCOMBAT tool. Conclusions The vCOMBAT online tool is publicly available at https://combat-bacteria.org/.


2010 ◽  
Vol 71 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Kari Mcknight ◽  
Anna Farmer ◽  
Lyn Zuberbuhler ◽  
Diana Mager

A web-based cross-country survey of renal registered dietitians (RRDs) was launched. It was used to assess whether or not their clinical practice in identifying and treating proteinenergy malnutrition (PEM) in adults with end-stage renal disease (ESRD) and dialysis was based on current nutrition practice guidelines (NPGs). The survey included questions on strategies, timelines, and markers used for the identification and treatment of PEM. Fifty-nine RRDs responded (21%). Sixty-seven percent did not base clinical practice on NPGs, while 33% indicated they followed the guidelines. Of those who followed guidelines, 76% use the National Kidney Foundation— Kidney Disease Outcomes Quality Initiative nutrition guidelines. Strategies used to identify and treat PEM were not related to duration of RRD experience in nephrology, but were significantly different between guidelines users and non-users. Guideline users commonly used key nutrition treatment strategies that included enteral/parenteral nutrition and medication therapy. The clinical practice of RRD is typically based on expert opinion/consensus, rather than on evidence-based practice guidelines (EBPG). It remains unclear if differences in RRDs’ adoption of clinical guidelines influences patient outcomes, particularly in the treatment of PEM. Up-to-date EBPG need to be developed for the identification and treatment of PEM in patients with ESRD.


Aorta ◽  
2016 ◽  
Vol 04 (04) ◽  
pp. 124-130 ◽  
Author(s):  
Alexander Curtis ◽  
Tanya Smith ◽  
Bulat Ziganshin ◽  
John Elefteriades

AbstractReliable methods for measuring the thoracic aorta are critical for determining treatment strategies in aneurysmal disease. Z-scores are a pragmatic alternative to raw diameter sizes commonly used in adult medicine. They are particularly valuable in the pediatric population, who undergo rapid changes in physical development. The advantage of the Z-score is its inclusion of body surface area (BSA) in determining whether an aorta is within normal size limits. Therefore, Z-scores allow us to determine whether true pathology exists, which can be challenging in growing children. In addition, Z-scores allow for thoughtful interpretation of aortic size in different genders, ethnicities, and geographical regions. Despite the advantages of using Z-scores, there are limitations. These include intra- and inter-observer bias, measurement error, and variations between alternative Z-score nomograms and BSA equations. Furthermore, it is unclear how Z-scores change in the normal population over time, which is essential when interpreting serial values. Guidelines for measuring aortic parameters have been developed by the American Society of Echocardiography Pediatric and Congenital Heart Disease Council, which may reduce measurement bias when calculating Z-scores for the aortic root. In addition, web-based Z-score calculators have been developed to aid in efficient Z-score calculations. Despite these advances, clinicians must be mindful of the limitations of Z-scores, especially when used to demonstrate beneficial treatment effect. This review looks to unravel the mystery of the Z-score, with a focus on the thoracic aorta. Here, we will discuss how Z-scores are calculated and the limitations of their use.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dara Gordon ◽  
Jennifer Hensel ◽  
Zachary Bouck ◽  
Laura Desveaux ◽  
Charlene Soobiah ◽  
...  

Abstract Background With the growing need for accessible, high-quality mental health services, especially during the COVID-19 pandemic, there has been increasing development and uptake of web-based interventions in the form of self-directed mental health platforms. The Big White Wall (BWW) is a web-based platform for people experiencing mental illness and addiction that offers a range of evidence-based self-directed treatment strategies. Drawing on existing data from a large-scale evaluation of the implementation of BWW in Ontario, Canada (which involved a pragmatic randomized controlled trail with an embedded qualitative process evaluation), we sought to investigate the influences on the extent to which people engage with BWW. Methods In this paper we drew on BWW trial participants’ usage data (number of logins) and the qualitative data from the process evaluation that explored participants’ experiences, engagement with and reactions to BWW. Results Our results showed that there were highly complex relationships between the influences that contributed to the level of engagement with BWW intervention. We found that a) how people expected to benefit from using a platform like BWW was an important indicator of their future usage, b) moderate perceived symptoms were linked with higher engagement; whereas fewer actual depressive symptoms predicted use and anxiety had a positive linear relationship with usage, and that c) usage depended on positive early experiences with the platform. Conclusions Our findings suggest that the nature of engagement with platforms such as BWW is not easily predicted. We propose a theoretical framework for explaining the level of user engagement with BWW that might also be generalizable to other similar platforms.


2020 ◽  
Author(s):  
Vi Ngoc-Nha Tran ◽  
Alireza Shams ◽  
Sinan Ascioglu ◽  
Antal Martinecz ◽  
Jingyi Liang ◽  
...  

AbstractMotivationAs antibiotic resistance creates a significant global health threat, we need not only to accelerate the development of novel antibiotics but also to develop better treatment strategies using existing drugs to improve their efficacy and prevent the selection of further resistance. We require new tools to rationally design dosing regimens to from data collected in early phases of antibiotic and dosing development. Mathematical models such as mechanistic pharmacodynamic drug-target binding explain mechanistic details of how the given drug concentration affects its targeted bacteria. However, there are no available tools in the literature that allows non-quantitative scientists to develop computational models to simulate antibiotic-target binding and its effects on bacteria.ResultsIn this work, we have devised an extension of a mechanistic binding-kinetic model to incorporate clinical drug concentration data. Based on the extended model, we develop a novel and interactive web-based tool that allows non-quantitative scientists to create and visualize their own computational models of bacterial antibiotic target-binding based on their considered drugs and bacteria. We also demonstrate how Rifampicin affects bacterial populations of Tuberculosis (TB) bacteria using our vCOMBAT tool.AvailabilityvCOMBAT online tool is publicly available at https://combat-bacteria.org/.


Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1933
Author(s):  
Boris Malyugin ◽  
Sergej Sakhnov ◽  
Svetlana Izmailova ◽  
Ernest Boiko ◽  
Nadezhda Pozdeyeva ◽  
...  

The accurate diagnosis of keratoconus, especially in its early stages of development, allows one to utilise timely and proper treatment strategies for slowing the progression of the disease and provide visual rehabilitation. Various keratometry indices and classifications for quantifying the severity of keratoconus have been developed. Today, many of them involve the use of the latest methods of computer processing and data analysis. The main purpose of this work was to develop a machine-learning-based algorithm to precisely determine the stage of keratoconus, allowing optimal management of patients with this disease. A multicentre retrospective study was carried out to obtain a database of patients with keratoconus and to use machine-learning techniques such as principal component analysis and clustering. The created program allows for us to distinguish between a normal state; preclinical keratoconus; and stages 1, 2, 3 and 4 of the disease, with an accuracy in terms of the AUC of 0.95 to 1.00 based on keratotopographer readings, relative to the adapted Amsler–Krumeich algorithm. The predicted stage and additional diagnostic criteria were then used to create a standardised keratoconus management algorithm. We also developed a web-based interface for the algorithm, providing us the opportunity to use the software in a clinical environment.


1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  

1983 ◽  
Vol 14 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Edna Carter Young

Treatment strategies and therapy materials for remediation of phonological process problems are described. This approach uses the child's language and conceptual skills to facilitate the use of the sound contrasts necessary to convey meaning to the listener.


Author(s):  
José G. Centeno

Abstract The steady increase in linguistic and cultural diversity in the country, including the number of bilingual speakers, has been predicted to continue. Minorities are expected to be the majority by 2042. Strokes, the third leading cause of death and the leading cause of long-term disability in the U.S., are quite prevalent in racial and ethnic minorities, so population estimates underscore the imperative need to develop valid clinical procedures to serve the predicted increase in linguistically and culturally diverse bilingual adults with aphasia in post-stroke rehabilitation. Bilingualism is a complex phenomenon that interconnects culture, cognition, and language; thus, as aphasia is a social phenomenon, treatment of bilingual aphasic persons would benefit from conceptual frameworks that exploit the culture-cognition-language interaction in ways that maximize both linguistic and communicative improvement leading to social re-adaptation. This paper discusses a multidisciplinary evidence-based approach to develop ecologically-valid treatment strategies for bilingual aphasic individuals. Content aims to spark practitioners' interest to explore conceptually broad intervention strategies beyond strictly linguistic domains that would facilitate linguistic gains, communicative interactions, and social functioning. This paper largely emphasizes Spanish-English individuals in the United States. Practitioners, however, are advised to adapt the proposed principles to the unique backgrounds of other bilingual aphasic clients.


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