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NIHR Funding for Nottingham’s Matt Martin

Matt Martin and Ralph Akyea (University of Nottingham, Primary Care Stratified Medicine Research Group) have recently received £50k NIHR School for Primary Care Research funding for Development and external validation of a risk prediction model for asthma attacks in primary care: a retrospective cohort study.  Matt is a Consultant Respiratory Physician at Nottingham University Hospitals NHS Trust with research interests in the phenotyping of asthma, asthma attacks and cough, particularly in developing personalised medicine approaches for prevention and treatment of asthma attacks.

“I will be working on this grant with my Co-PI Ralph who is a Senior Research Fellow with the Centre for Academic Primary Care, University of Nottingham and early career epidemiologist with a postgraduate master’s degree in public health and research doctorate in Primary Care. Ralph’s interests include the use of coded data in electronic health records to stratify and improve care in primary care. We will collaborate with experts from other centres including Holly (!) and Prof Kontopantelis from the University of Manchester. We aim to develop and validate (internally and externally) an asthma attack prediction model to estimate the 12-month risk of an asthma attack (using CPRD GOLD and Aurum and HES data) using supervised machine learning approaches guided by expert and patient knowledge.  We will obviously be very keen to hear about the results of Holly’s work in this area and to discuss further with anyone else working in a similar area once we get underway!”  – Matt Martin

Derivation and validation of an asthma diagnosis prediction model for children and young people in primary care

Dr. Luke Daines (Edinburgh University) has recently published in Wellcome Open Research on an asthma diagnosis prediction model for children and young people in primary care.  The logistic regression based prediction model was derived using the Avon Longitudinal Study of Parents and Children (ALSPAC) data linked to electronic health records, and validated in the Optimum Patient Care Research Database (OPCRD).   Predictors included in the final model were wheeze, cough, breathlessness, hay-fever, eczema, food allergy, social class, maternal asthma, childhood exposure to cigarette smoke, prescription of a short acting beta agonist and the past recording of lung function/reversibility testing. In the external validation dataset the C-statistic was 0.85, 95% CI 0.83–0.88.  Following further evaluation of clinical effectiveness, the prediction model could be implemented as a decision support software.

Investing in breath

Asthma +  Lung UK recently published their report ‘Investing in breath’, illustrating the huge financial cost of lung conditions to the UK economy. The report highlights how increased investment in lung research has the potential to drive growth, create jobs, and reduce the burden of ill health at a time when we need to support UK economic growth and keep the NHS fit for the future.  The hope is that this work will influence increased funding into respiratory disease research, but it is also a great reference when describing the potential impact of ongoing respiratory research in the  UK.

The eCRUSADers Community

Those of you working in Scottish, or four nation, data, might be interested in linking up with the Early Career  Researchers Using Scottish Administrative Data community, the eCRUSADers.  eCRUSADers provides a space to share information and experiences, to encourage discussion and improve the use of Scottish administrative data in research, and is  managed by Dr Elizabeth Lemmon, Research Fellow in Health Economics at the University of Edinburgh.  They have many interesting blog posts, including this recent piece on PPI involvement in administrative data research.   Visit the website to find out more, or contact them at ecrusad@ed.ac.uk.

Spotlight: Ryan Orr

Ryan Orr is our Innovation Project Manager; he joined the NHS in July 2021 working within e-health delivering a large-scale IT upgrade of windows 7 devices to windows 10 devices as part the of the Scottish Government mandate. Leading additional projects in TrakCare Theatres he implemented additional large-scale screen and multiple devices to hep with the change over from ORSOS to TrakCare across all Lothian sites. With a master’s in computing Ryan was looking for something a little more and came across to HISES on a seconded post and soon took a variety of large projects on such as Asthma, COPD and Microsoft ICU. Recently he became a permanent member of the HISES team and is continuing to manage and grow the projects in his portfolio. Ryan has a passion for machine learning and AI, looking at transforming the NHS with new innovate ideas and opportunities.

If he’s not working hard on his projects then he’ll be out with dog Roxy, rolling around the grass and throwing a ball around. He’s always looking to meet new people so please free to reach out and say hi!

See further:

Meet the NHS Lothian Team

LinkedIn

Spotlight: Samantha Smith-Garrett

Samantha Smith-Garrett

Samantha joined NHS Lothian in October 2019 as Innovation Project Team Manager and was responsible for setting up the South East Regional Innovation Test Bed office team, Health Innovation South East Scotland (HISES). The HISES team provide a key support function for the delivery of transformational innovative change within the three NHS Boards (Borders, Fife, and Lothian), whilst also contributing to the spread of healthcare innovation across NHS Scotland.

Taking up the post of Senior Innovation Programme Manager in March 2023, Samantha provides leadership in developing a large complex and diverse portfolio of innovation projects and programmes, working with clinicians, academics, service managers, third sector, and industry partners. This includes defining innovation challenges, developing partners and consortiums to address these challenges. Her portfolio includes COPD and Long-Term Conditions Management, Paediatric Asthma, Cancer, Hip Fracture, and a proposed drone delivery network which connects hospitals, pathology laboratories, distribution centres and GP surgeries across Scotland.

Samantha is passionate about leading service redesign and mapping clinical pathways to identify innovative opportunities for system wide change across health & social care to support the delivery of frontline services and improve outcomes for families and the care they receive.

Recently Samantha has just gotten married at Orocco Pier in South Queensferry, all her hard work and late nights paid off with an incredible wedding. If you ever need a wedding planner Samantha is the person.

See further:

@SamanthaNHSL on  Twitter

Meet the NHS Lothian Team

LinkedIn

Spotlight: Kenny Macleod

A photo of researcher Kenny MacleodKenny Macleod is a children’s asthma doctor and based at the Children’s Hospital in Edinburgh for the past 9 years. He works in a team of asthma nurses, doctors and physiotherapists and for a long time and has passion to improve how we look after children with asthma.

“We get most worried about the patients who find it very difficult to take their regular treatment and for various reasons find it difficult to get to clinic appointments. We know that certain patients are at higher risk of an asthma attack but we only find out about them once they’ve already had an attack. We would like to be able to predict who is at greatest risk before the event. We also know that asthma attacks can at least be disruptive and difficult, but at worst they are a preventative cause of death. The idea of being able to predict who is going to have an attack and do something about it could make a huge difference to children and young people with asthma.”

Currently Kenny is working on a way to get accurate data on the current state of children in our area. With an aim to use the data to work out a way to combine available clinical data from various sources and integrate into hospital management systems. This can then alert clinicians when an individual is at increased risk of an asthma attack. Having begun a discovery phase of this project with the help of innovation experts at HISES, the data knowledge at DataLoch (Dataloch.org) and the systems and analysis expertise of Lenus (lenushealth.com) the aim is to use machine learning to enable a new way of caring for asthma patients.

Kenny enjoys cycling round Edinburgh (when the weather is good!). He recently went interrailing around Europe with his family. Much needed rest, with incredible memories making him refreshed and ready to take on the challenge ahead for the Women’s and Children asthma project

See further:

Researchgate.net

LinkedIn

Spotlight: David Price

A photo of researcher David Price Professor David Price is Primary Care Respiratory Society Professor of Primary Care Respiratory Medicine at the University of Aberdeen (UK). He is the Founder and Head of The Observational and Pragmatic Research Institute (OPRI) Singapore, an independent, research-driven organisation established to cultivate initiatives, provide evidence, and drive quality standards within the growing field of real-life, pragmatic, and observational research. The Head of Optimum Patient Care (OPC) Global, Australia and UK, a social enterprise which focuses on disease registries and quality improvement in primary and secondary care. He leads the first International Severe Asthma Registry (ISAR) by creating a consortium of world leaders at the forefront of high risk asthma. ISAR research projects originate from the UK, Australia and globally, with over 30 collaborating countries.

Spotlight: Kirsty Fletton

A photo of researcher Kirsty Fletton Doctor Kirsty Fletton is a Medical Scientist working at the Observational and Pragmatic Research Institute (OPRI). She is primarily involved with the work with ISAR, the International Severe Asthma Registry, with a focus on high risk asthma. She has a passion for research in respiratory medicine and strives to support advancement in patient care through ISAR projects and collaboration with leading global experts in asthma. She graduated from the University of Liverpool with an MBChB and prior to her role as medical scientist obtained experience in clinical medicine working in the NHS for 5 years, with a subsequent 3 years in the private sector.

Spotlight: Luke Daines

A photo of researcher Luke DainesLuke’s current research seeks to improve the accuracy with which a diagnosis of asthma can be made in clinical practice. He was awarded a Chief Scientist Office Clinical Academic Fellowship (2017) for “deriving and validating a clinical prediction rule for the diagnosis of asthma in primary care”.

His latest study aimed to derive and validate a prediction model to support primary care clinicians assess the probability of an asthma diagnosis in children and young people, aged under 25 years old. The derivation dataset was created from the Avon Longitudinal Study of Parents and Children (ALSPAC) linked to electronic health records (n=11,972 participants). The prediction model was derived using logistic regression. External validation was conducted using electronic health records from the Optimum Patient Care Research Database (OPCRD; n=2670 participants).  Discrimination in the external validation dataset was good (c-statistic 0.85, 95% CI 0.83–0.88) but calibration was poor (calibration slope 1.22, 95% CI 1.09–1.35) which may be because some predictors were infrequently coded in health records.

See further:

@ljdaines on Twitter

Research.ed Profile

Study Protocol

Systematic Review of Previous Models

Patient Views of Diagnosis Tools

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