Author Interviews, Clots - Coagulation, NEJM, Neurology / 09.05.2019
Stroke: Thrombolysis Guided by Perfusion Imaging Extended Time Window up to 9 Hours after Onset
MedicalResearch.com Interview with:
[caption id="attachment_49060" align="alignleft" width="165"]
Prof. Donnan[/caption]
Geoffrey A Donnan AO
MBBS, MD, FRCP, FRACP, FAAHMS
Professor of Neurology
University of Melbourne, Melbourne Brain Centre
Royal Melbourne and Austin Hospital
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Currently the thrombolysis time window for acute ischemic stroke is restricted to less than 4.5 hours from stroke onset and patients with wake-up stroke are not eligible.
EXTEND is a multi-centre randomised placebo-controlled trial involving patient with acute ischemic stroke who presented between 4.5 to 9 hours of stroke onset or with wake-up-stroke and had penumbral tissue demonstrated on automated perfusion imaging.
Patients were randomised to receive either alteplase or placebo. In total there were 225 patients recruited and the patients who received alteplase had higher rate of excellent functional outcome at 3 months (35.4% vs 29.5% adjusted odd ration 1.44 with 95% confidence interval 1.01 – 2.06 p=0.04). Patients who received alteplase achieved higher rate of early neurological improvement at day 3, reperfusion and recanalization at 24 hours. There was numerically more haemorrhage in the alteplase group but this not negate the functional benefit and there was no difference in the rate of mortality between the two groups.
Prof. Donnan[/caption]
Geoffrey A Donnan AO
MBBS, MD, FRCP, FRACP, FAAHMS
Professor of Neurology
University of Melbourne, Melbourne Brain Centre
Royal Melbourne and Austin Hospital
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Currently the thrombolysis time window for acute ischemic stroke is restricted to less than 4.5 hours from stroke onset and patients with wake-up stroke are not eligible.
EXTEND is a multi-centre randomised placebo-controlled trial involving patient with acute ischemic stroke who presented between 4.5 to 9 hours of stroke onset or with wake-up-stroke and had penumbral tissue demonstrated on automated perfusion imaging.
Patients were randomised to receive either alteplase or placebo. In total there were 225 patients recruited and the patients who received alteplase had higher rate of excellent functional outcome at 3 months (35.4% vs 29.5% adjusted odd ration 1.44 with 95% confidence interval 1.01 – 2.06 p=0.04). Patients who received alteplase achieved higher rate of early neurological improvement at day 3, reperfusion and recanalization at 24 hours. There was numerically more haemorrhage in the alteplase group but this not negate the functional benefit and there was no difference in the rate of mortality between the two groups.






Dr. Shaker[/caption]
Marcus S. Shaker, MD
Associate Professor of Pediatrics
Associate Professor of Community and Family Medicine
Dartmouth-Hitchcock Medical Center
MedicalResearch.com: What is the background for this study?
Response: There are two peanut allergy treatments that are being evaluated for potential FDA approval—an orally administered treatment and an epicutaneous (skin based) treatment. Both have tremendous potential benefit. The focus of our study was to explore the range of health and economic benefits in terms of establishing pathways for how each therapy could be cost effective.
We want to be clear that our purpose was not to suggest one therapy is or is not cost effective at present. That would be a ridiculous statement to make regarding two treatments that not only lack FDA approval, but do not have established pricing. Rather, we used preliminary inputs that are presently available to create as robust a model as we could to better determine the individual paths that would make them more or less cost-effective.


Jasleen Grewal, BSc.
Genome Sciences Centre
British Columbia Cancer Research Centre
Vancouver, British Columbia, Canada
MedicalResearch.com: What is the background for this study?
Response: Cancer diagnosis requires manual analysis of tissue appearance, histology, and protein expression. However, there are certain types of cancers, known as cancers of unknown primary, that are difficult to diagnose based purely on their appearance and a small set of proteins. In our precision medicine oncogenomics program, we needed an accurate approach to confirm diagnosis of biopsied samples and determine candidate tumour types for where the primary site of the cancer was uncertain. We developed a machine learning approach, trained on the gene expression data of over 10,688 individual tumours and healthy tissues, that has been able to achieve this task with high accuracy.
Genome sequencing offers a high-resolution view of the biological landscape of cancers. RNA-Seq in particular quantifies how much each gene is expressed in a given sample. In this study, we used the entire transcriptome, spanning 17,688 genes in the human genome, to train a machine learning method for cancer diagnosis. The resultant method, SCOPE, takes in the entire transcriptome and outputs an interpretable confidence score from across a set of 40 different cancer types and 26 healthy tissues.