Showing posts with label cystic fibrosis. Show all posts
Showing posts with label cystic fibrosis. Show all posts

9 November 2020

NICE COVID-19 rapid guidelines

COVID-19 rapid reviews of interest to Specialised commissioning
NICE 
Check NICE website for new guidelines and updates


10 July 2020

CFHealthHub for managing cystic fibrosis during the COVID-19 pandemic

CFHealthHub for managing cystic fibrosis during the COVID-19 pandemic
Medtech innovation briefing [MIB219] 10 July 2020
  • This Innovation briefing summarises the evidence around CFHealthHub, a digital platform to help adults with cystic fibrosis (CF) manage their condition and monitor their medicine use. It allows remote access from the patients home to monitor medicines adherence.

11 June 2020

Thousands of patients to benefit from NHS At Home roll out

Thousands of patients to benefit from NHS At Home roll out [News]
NHS X 8 June 2020
  • Thousands of patients with cystic fibrosis and dozens recovering from coronavirus are being given devices and apps so that medics can monitor their condition remotely, as part of the NHS drive to give more people connected, supported, personalised care in their own homes.

7 June 2019

Access to Orkambi and other drugs for people with cystic fibrosis

Access to Orkambi and other drugs for people with cystic fibrosis
House of Commons Library 7 June 2019
  • A debate pack has been prepared ahead of the debate to be held in Westminster Hall at 4.30pm on 10 June 2019 on access to Orkambi and other drugs for people with cystic fibrosis.

24 January 2019

Airway clearance techniques for cystic fibrosis

Airway clearance techniques for cystic fibrosis: an overview of Cochrane systematic reviews
Cochrane Systematic Review 24 January 2019
  • A review of the the evidence from six Cochrane Reviews about the effect of airway clearance techniques in people with cystic fibrosis.
  • The overview found moderate evidence that PEP therapy and vibrating (oscillating) devices have a similar effect on lung function (forced expiratory volume in one second (FEV1) after six months of treatment. 
  • It was not possible to draw definitive conclusions for all other comparisons in terms of FEV1 because the quality of evidence is currently lacking. Likewise, it was not possible to draw any definitive conclusions for other outcome measures such as individual preference and quality of life. Harms, such as acid reflux, collapsed lungs, coughing up blood, or decreased oxygen, were rarely mentioned in the original trials. There is a lack of evidence to determine if any particular airway clearance therapy is riskier than the other therapies. 

27 October 2018

Paediatric home monitoring in CF

Is paediatric home monitoring in CF feasible? There’s an app for that!
Digital Health London 27 September 2018

26 July 2018

Machine learning for clinical decision-making in cystic fibrosis care

New research shows machine learning could significantly augment clinical decision-making in cystic fibrosis care
Alan Turing Institute 
  • New research published in Scientific Reports (see below), demonstrates that machine learning methods can predict with a 35% improvement in accuracy whether a cystic fibrosis (CF) patient should be referred for a lung transplant, in comparison to existing statistical methods. It is the first machine learning study to make use of a dataset representing 99% of CF patients living in the UK, the CF Registry.
  • The research,has been generated through a partnership between The Alan Turing Institute and the Cystic Fibrosis Trust.
Reference: Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning Ahmed M. Alaa & Mihaela van der Schaar .
Scientific Reports vol8, Article number: 11242, 26 July 2018