Dynacure to Present Disease Progression Model and Natural History Study Data at the 25th Annual Congress of the World Muscle Society (WMS25)

STRASBOURG, Pa. and PHILADELPHIA, Sept. 28, 2020 /PRNewswire/ — Dynacure, a clinical stage drug development company focused on improving the lives of patients with rare and orphan disorders, announced today that the company will present two posters containing data on the natural history of Myotubular and Centronuclear Myopathies (CNM) at the 25th Annual Congress of the World Muscle Society (WMS25). The WMS25 meeting is being held in a virtual format.

Dynacure is developing DYN101, an investigational antisense medicine designed to modulate the expression of dynamin 2 (DNM2), for the treatment of CNM. DYN101 is currently being evaluated in a Phase 1/2 clinical study, ‘UNITE-CNM’ (DYN101-C101), at multiple clinical sites in Europe.

Details of the poster presentations are listed below:

Poster Abstract: # LSP (late submitted poster) 6
Title: Hierarchical Bayesian model of disease progression in centronuclear myopathy allows to demonstrate treatment efficacy with a small sample size
Date: Thursday, October

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Model Predicts Severe Disease in Those With COVID-19

Editor’s note: Find the latest COVID-19 news and guidance in Medscape’s Coronavirus Resource Center.

A new prediction model can help clinicians and hospitals discern which patients with COVID-19 are likely to progress to severe disease and how quickly, researchers say.

Brian Garibaldi, MD, associate professor of medicine at the Johns Hopkins University School of Medicine in Baltimore, Maryland, and colleagues developed the COVID-19 Inpatient Risk Calculator with 24 variables known to be linked with COVID-19, such as age, body mass index, underlying conditions, vital signs, and symptom severity at the time of admission.

Data were gathered from the care of 832 consecutive patients with COVID-19 between March 4 and April 24 at five Johns Hopkins hospitals in Maryland and Washington, DC.

Findings were published online September 22 in the Annals of Internal Medicine.

Model Shows Extremes in Risk

The authors say the model can predict likelihood of severe disease

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