A5053446150- Asthma and respiratory diseases
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Respiratory and Cough-Related Research
- Inhalation and Respiratory Drug Delivery
- Sepsis Diagnosis and Treatment
- Lung Cancer Diagnosis and Treatment
- Emergency and Acute Care Studies
- Pediatric health and respiratory diseases
- Air Quality and Health Impacts
- Respiratory Support and Mechanisms
- Machine Learning in Healthcare
- Diet and metabolism studies
- Electrolyte and hormonal disorders
- Delphi Technique in Research
- Atomic and Subatomic Physics Research
- Global Health Care Issues
- Phonocardiography and Auscultation Techniques
- Hematological disorders and diagnostics
- Traumatic Brain Injury and Neurovascular Disturbances
- Allergic Rhinitis and Sensitization
- Cystic Fibrosis Research Advances
- Cardiovascular Syncope and Autonomic Disorders
- Gastrointestinal motility and disorders
- Climate Change and Health Impacts
- Voice and Speech Disorders
Nottingham Biomedical Research Centre
2024
Nottingham University Hospitals NHS Trust
2019-2024
University of Nottingham
2020-2024
Nottingham City Hospital
2019-2022
University of Leicester
2011-2020
Glenfield Hospital
2011-2019
National Institute for Health Research
2019
National Health Service
2019
Institut thématique Immunologie, inflammation, infectiologie et microbiologie
2019
NIHR Leicester Biomedical Research Centre
2014-2018
Cellular and computational models bronchial biopsies from asthma patients show that a DP 2 antagonist reduces airway smooth muscle mass in asthma.
Background Few studies have investigated the collaborative potential between artificial intelligence (AI) and pulmonologists for diagnosing pulmonary disease. We hypothesised that collaboration a pulmonologist AI with explanations (explainable (XAI)) is superior in diagnostic interpretation of function tests (PFTs) than without support. Methods The study was conducted two phases, monocentre (phase 1) multicentre intervention 2). Each phase utilised different sets 24 PFT reports patients...
The role of small airway obstruction in the clinical expression asthma is incompletely understood.We tested hypotheses that markers are associated with (i) increased severity, (ii) impaired control and quality life (iii) frequent exacerbations.Seventy-four adults 18 healthy subjects underwent impulse oscillometry (IOS), multiple breath inert gas washout (MBW), body plethysmography, single-breath determination carbon monoxide uptake spirometry. Patients completed six-point Asthma Control...
Airway remodelling in asthma remains poorly understood. This study aimed to determine the association of airway measured on bronchial biopsies with 1) lung function impairment and 2) thoracic quantitative computed tomography (QCT)-derived morphometry densitometry measures proximal air trapping. Subjects were recruited from a single centre. Bronchial biopsy features that strongest predictors QCT-derived trapping markers determined by stepwise multiple regression. The best predictor was...
Objective Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment asthma leads improved outcomes. We aimed develop a machine learning algorithm detect severe using easily available daily monitoring data.Methods analyzed peak expiratory flow symptom scores recorded by participants in SAKURA study (NCT00839800), an international multicentre randomized controlled trial comparing budesonide/formoterol as maintenance...
Variability of peak flow measurements has been related to clinical outcomes in asthma. We hypothesised that the entropy, or information content, airway impedance over short time scales may predict asthma exacerbation frequency. 66 patients with severe and 30 healthy control subjects underwent impulse oscillometry at baseline following bronchodilator administration. On each occasion, parameters were measured 0.2-s intervals for 150 s, yielding a series was then subjected sample entropy...
There is evidence that air pollution increases the risk of asthma hospitalizations and healthcare utilization, but effects on day-to-day control are not fully understood.We undertook a prospective single-centre panel study to test hypothesis personal exposure associated with symptoms, lung function airway inflammation.Thirty-two patients clinical diagnosis were provided monitor (Cairclip NO2 /O3 ) which was kept or around their person throughout 12-week follow-up period. Ambient levels...
Asthma exacerbations are a common reason for hospital admission. We sought to identify whether patterns of inhaler prescribing significantly associated with regional asthma admission rates. rates were obtained English Clinical Commissioning Group (CCG) regions from 2013/2014 2016/2017. Raw data OpenPrescribing.net, based on monthly general practice-level published by the National Health Service Business Services Authority. Data analysed using linear mixed effects model. The ratio salbutamol...
The National Early Warning Score-2 (NEWS-2) is used to detect deteriorating patients in hospital settings. We aimed understand how NEWS-2 functions the real-life setting of an acute respiratory unit.
<b><i>Background:</i></b> The respiratory mass spectrometer is the current gold-standard technique for performing multiple-breath inert gas washout (MBW), but expensive and lacks portability. A number of alternative techniques have recently been described. <b><i>Objectives:</i></b> We aimed to validate, using an in vitro lung model, open-circuit MBW system that utilises a portable photoacoustic analyser, with sulphur hexafluoride...
Severe asthma affects 5 to 10% of the population but consumes a disproportionate amount global budget (∼50%) due unscheduled health care utilization in primary care, hospitalizations severe exacerbations, and costs pharmacotherapy. A key challenge managing is identify appropriate groups patients that will respond best existing evolving therapies. Recent advances our understanding how classify using multivariate taxonomical approaches have provided unique model stratified medicines approach....
Multiple-breath washout (MBW) is a pulmonary function test (PFT) that used to infer lung through measurement of ventilation heterogeneity (VH). However, the body position taken in may also influence VH, due "Slinky" effect gravity on lungs. In healthy subjects this has minimal effect, but unhealthy groups, PFT outputs have been seen change drastically with position. study, we combined computational and clinical approach better understand response from MBW A patient-specific model was...
Abstract Background Several biological treatments have become available for management of severe asthma. There is a significant overlap in the indication these with lack consensus on first‐line biologic choice and switching practice event treatment failure. Aims To evaluate outcomes through analysis UK Severe Asthma Registry (UKSAR), survey asthma specialists' opinion. Methods Patients registered UKSAR database treated biologics period between January 2014 August 2021, were studied to...
Abstract Background The National Early Warning Score-2 (NEWS-2) is used to detect patient deterioration in UK hospitals but fails take account of the detailed granularity or temporal trends clinical observations. We data-driven methods develop dynamic early warning scores (DEWS) address these deficiencies, and tested their accuracy patients with respiratory disease for predicting (1) death intensive care unit admission, occurring within 24 h (D/ICU), (2) clinically significant requiring...
Objectives: Currently used prognostic tools for patients with SARS-CoV-2 infection are based on clinical and laboratory parameters measured at a single point in time, usually admission. We aimed to determine how dynamic changes relate prognosis. Design: retrospective, observational cohort study using routinely collected data model the change prognosis of SARS-CoV-2. Setting: single, large hospital England. Participants: all confirmed admitted Nottingham University Hospitals (NUH) NHS Trust,...