Facilitated PCI: Rationale, Current Evidence, Open Questions, and Future Directions

2008 ◽  
Vol 51 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Marco Zimarino ◽  
Daniele Sacchetta ◽  
Giulia Renda ◽  
Raffaele De Caterina
Keyword(s):  
Current Evidence ◽  
Future Directions ◽  
Open Questions ◽  
Facilitated Pci

Levosimendan to facilitate weaning from cardiorespiratory support in critically ill patients: current evidence and future directions

2020 ◽  
Vol 86 (6) ◽  
Author(s):  
Fabio Sangalli ◽  
Giacomo Bellani ◽  
Alessandro Affronti ◽  
Francesca Volpi ◽  
Marco Feri ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Current Evidence ◽  
Future Directions

scholarly journals A Review on the Value of Imaging in Differentiating between Large Vessel Vasculitis and Atherosclerosis

2021 ◽  
Vol 11 (3) ◽  
pp. 236
Author(s):  
Pieter H. Nienhuis ◽  
Gijs D. van Praagh ◽  
Andor W. J. M. Glaudemans ◽  
Elisabeth Brouwer ◽  
Riemer H. J. A. Slart
Keyword(s):  
Fdg Pet ◽  
Large Vessel Vasculitis ◽  
Large Vessel ◽  
Current Evidence ◽  
Future Directions ◽  
Inflammatory Conditions ◽  
Positron Emission ◽  
Magnetic Resonance Imaging Mri ◽  
Review Reports ◽  
Ct Studies

Imaging is becoming increasingly important for the diagnosis of large vessel vasculitis (LVV). Atherosclerosis may be difficult to distinguish from LVV on imaging as both are inflammatory conditions of the arterial wall. Differentiating atherosclerosis from LVV is important to enable optimal diagnosis, risk assessment, and tailored treatment at a patient level. This paper reviews the current evidence of ultrasound (US), 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography (FDG-PET), computed tomography (CT), and magnetic resonance imaging (MRI) to distinguish LVV from atherosclerosis. In this review, we identified a total of eight studies comparing LVV patients to atherosclerosis patients using imaging—four US studies, two FDG-PET studies, and two CT studies. The included studies mostly applied different methodologies and outcome parameters to investigate vessel wall inflammation. This review reports the currently available evidence and provides recommendations on further methodological standardization methods and future directions for research.

Prevention and early help for eating disorders in young people with type 1 diabetes

2021 ◽  
pp. 135910452199417
Author(s):  
Rosie Oldham-Cooper ◽  
Claire Semple
Keyword(s):  
Eating Disorders ◽  
Type 1 Diabetes ◽  
Early Intervention ◽  
Young People ◽  
Current Evidence ◽  
Future Directions ◽  
Team Collaboration ◽  
Children And Young People ◽  
Specialist Services

There is building evidence that early intervention is key to improving outcomes in eating disorders, whereas a ‘watch and wait’ approach that has been commonplace among GPs and other healthcare professionals is now strongly discouraged. Eating disorders occur at approximately twice the rate in individuals with type 1 diabetes compared to the general population. In this group, standard eating disorder treatments have poorer outcomes, and eating disorders result in a particularly high burden of morbidity. Therefore, our first priority must be prevention, with early intervention where disordered eating has already developed. Clinicians working in both eating disorders and diabetes specialist services have highlighted the need for multidisciplinary team collaboration and specific training, as well as improved treatments. We review the current evidence and future directions for prevention, identification and early intervention for eating disorders in children and young people with type 1 diabetes.

Current Evidence and Future Directions for Targeting HIV Entry

JAMA ◽  
2000 ◽  
Vol 284 (2) ◽  
pp. 215 ◽  
Author(s):  
M. Patricia D'Souza ◽  
J. Scott Cairns ◽  
Susan F. Plaeger
Keyword(s):  
Current Evidence ◽  
Future Directions ◽  
Hiv Entry

scholarly journals Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions

2019 ◽  
Vol 4 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Omer F Ahmad ◽  
Antonio S Soares ◽  
Evangelos Mazomenos ◽  
Patrick Brandao ◽  
Roser Vega ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Computer Aided Diagnosis ◽  
Current Evidence ◽  
Future Directions ◽  
Computer Aided ◽  
Aided Diagnosis
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