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Starting Pediatric VAD Program: Transforming Challenges into Opportunities; A Case Series of a Single Center
CONCLUSIONS: To establish a VAD program, numerous specialties must be included with adequate training and learning for all team members.PMID:37679088 | DOI:10.59958/hsf.5545
Source: The Heart Surgery Forum - September 7, 2023 Category: Cardiovascular & Thoracic Surgery Authors: Matija Bako š Milivoj Novak Dalibor Šarić Dorotea Bartoni ček Dra žen Belina Željko Đurić Darko Ani ć Željko Čolak Sanja Konosi ć Marina Mihalec Filip Rubi ć Toni Mati ć Goran Me đimurec Mislav Planinc Source Type: research
Does self-directed learning address gaps in nursing student knowledge of Alzheimer's disease?
Educ Gerontol. 2023;49(8):673-686. doi: 10.1080/03601277.2022.2148445. Epub 2022 Dec 8.ABSTRACTIn the past two decades, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from age-related Alzheimer's disease (AD) have increased. Future nurses will be caring for the rapidly escalating number of older adults facing increased AD risk, yet nursing students' knowledge has been shown to be limited regarding the age-related disease of Alzheimer's (and the most common dementia type) (Aljezawi et al., 2022; Mattos et al., 2015). In this pilot study, a quasi-experimental approach was used to examine undergr...
Source: Educational Gerontology - September 7, 2023 Category: Geriatrics Authors: Tamara Love Lisa Ann Kirk Wiese Vanessa Duncan Herlie Bertrand Source Type: research
Starting Pediatric VAD Program: Transforming Challenges into Opportunities; A Case Series of a Single Center
CONCLUSIONS: To establish a VAD program, numerous specialties must be included with adequate training and learning for all team members.PMID:37679088 | DOI:10.59958/hsf.5545
Source: The Heart Surgery Forum - September 7, 2023 Category: Cardiovascular & Thoracic Surgery Authors: Matija Bako š Milivoj Novak Dalibor Šarić Dorotea Bartoni ček Dra žen Belina Željko Đurić Darko Ani ć Željko Čolak Sanja Konosi ć Marina Mihalec Filip Rubi ć Toni Mati ć Goran Me đimurec Mislav Planinc Source Type: research
Does self-directed learning address gaps in nursing student knowledge of Alzheimer's disease?
Educ Gerontol. 2023;49(8):673-686. doi: 10.1080/03601277.2022.2148445. Epub 2022 Dec 8.ABSTRACTIn the past two decades, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from age-related Alzheimer's disease (AD) have increased. Future nurses will be caring for the rapidly escalating number of older adults facing increased AD risk, yet nursing students' knowledge has been shown to be limited regarding the age-related disease of Alzheimer's (and the most common dementia type) (Aljezawi et al., 2022; Mattos et al., 2015). In this pilot study, a quasi-experimental approach was used to examine undergr...
Source: Educational Gerontology - September 7, 2023 Category: Geriatrics Authors: Tamara Love Lisa Ann Kirk Wiese Vanessa Duncan Herlie Bertrand Source Type: research
Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke
ConclusionML algorithms demonstrated proficient prediction for the 3-month functional outcome in AIS patients. With the aid of the SHAP method, we can attain an in-depth understanding of how critical features contribute to model predictions and how changes in these features influence such predictions.
Source: Frontiers in Neurology - September 7, 2023 Category: Neurology Source Type: research
Autonomy support encourages use of more-affected arm post-stroke
Autonomy support, which involves providing individuals the ability to control their own behavior, is associated with improved motor control and learning in various populations in clinical and non-clinical sett...
Source: Journal of NeuroEngineering and Rehabilitation - September 7, 2023 Category: Rehabilitation Authors: Sujin Kim, Yumi Shin, Yeonwoo Jeong, Seungyoung Na and Cheol E. Han Tags: Research Source Type: research
Role of artificial intelligence and machine learning in the diagnosis of cerebrovascular disease
ConclusionThe implementation of AI and ML algorithms to supplement clinical practice has conferred a high degree of accuracy, efficiency, and expedited detection in the clinical and radiographic evaluation and management of ischemic and hemorrhagic strokes, AVMs, and aneurysms. Such algorithms have been explored for further purposes of prognostication for these conditions, with promising preliminary results. Further studies should evaluate the longitudinal implementation of such techniques into hospital networks and residency programs to supplement clinical practice, and the extent to which these techniques improve patient...
Source: Frontiers in Human Neuroscience - September 7, 2023 Category: Neuroscience Source Type: research
Total saponins from Trillium tschonoskii Maxim promote neurological recovery in model rats with post-stroke cognitive impairment
Total saponins from Trillium tschonoskii Maxim (TSTT), a bioactive component of local natural herbs in the Enshi area, China, have been demonstrated to have functions of restoring cognitive capacity and promoting axonal regeneration post-stroke, but the mechanism of this process remains unclear. The hippocampus is a critical tissue for controlling learning and memory capacity, and the sonic hedgehog (Shh) signaling pathway plays a major role in the patterning and synaptic plasticity of hippocampal neural circuits. Therefore, we aimed to investigate whether TSTT could restore learning and cognitive functions by modulating t...
Source: Frontiers in Pharmacology - September 7, 2023 Category: Drugs & Pharmacology Source Type: research
