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1.
Expert Opin Pharmacother ; 25(11): 1507-1516, 2024 Aug.
Article in English | MEDLINE | ID: mdl-39099418

ABSTRACT

INTRODUCTION: Asthma is a common disease with a global burden of 358 million patients. Despite improvements in pharmacological and non-pharmacological treatments, many patients still do not achieve complete asthma control. Therefore, innovative pharmacotherapy is important. AREAS COVERED: Following a semi-structured search in Pubmed, an overview of advances in inhaled asthma therapy is provided, looking at innovations in digital inhalers, eco-friendly inhalers and novel inhaled biologic therapies, antibiotics and vaccines, as well as other potential novel asthma therapy targets. EXPERT OPINION: Digital inhalers, sending reminders and monitoring inhalation technique electronically, can support medication adherence and improve asthma control. To reduce the global warming potential of traditional aerosols used in pressurized metered-dose inhalers (HFA-134a, HFA-227ea), greener alternatives are under development (HFA-152a, HFO-1234ze) that are expected to be available by 2025. Current pharmacological advances in asthma therapy are mainly achieved by novel biologicals (anti-IgE, anti-IL5, anti-IL4/13, and anti-TSLP) targeting specific severe asthma phenotypes. While injection is the usual administration route for biologics and vaccines used in asthma, inhalation is an option being explored, although several (mainly formulation) challenges need to be overcome. Other potential novel future inhaled asthma therapies include anti-IL-33/ST2 biologicals and JAK inhibitors, all still requiring more clinical evidence.


Subject(s)
Anti-Asthmatic Agents , Asthma , Humans , Asthma/drug therapy , Administration, Inhalation , Anti-Asthmatic Agents/administration & dosage , Anti-Asthmatic Agents/therapeutic use , Nebulizers and Vaporizers , Medication Adherence , Drug Development , Aerosols
2.
BMJ Open Respir Res ; 11(1)2024 May 22.
Article in English | MEDLINE | ID: mdl-38777583

ABSTRACT

INTRODUCTION: Asthma attacks are a leading cause of morbidity and mortality but are preventable in most if detected and treated promptly. However, the changes that occur physiologically and behaviourally in the days and weeks preceding an attack are not always recognised, highlighting a potential role for technology. The aim of this study 'DIGIPREDICT' is to identify early digital markers of asthma attacks using sensors embedded in smart devices including watches and inhalers, and leverage health and environmental datasets and artificial intelligence, to develop a risk prediction model to provide an early, personalised warning of asthma attacks. METHODS AND ANALYSIS: A prospective sample of 300 people, 12 years or older, with a history of a moderate or severe asthma attack in the last 12 months will be recruited in New Zealand. Each participant will be given a smart watch (to assess physiological measures such as heart and respiratory rate), peak flow meter, smart inhaler (to assess adherence and inhalation) and a cough monitoring application to use regularly over 6 months with fortnightly questionnaires on asthma control and well-being. Data on sociodemographics, asthma control, lung function, dietary intake, medical history and technology acceptance will be collected at baseline and at 6 months. Asthma attacks will be measured by self-report and confirmed with clinical records. The collected data, along with environmental data on weather and air quality, will be analysed using machine learning to develop a risk prediction model for asthma attacks. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the New Zealand Health and Disability Ethics Committee (2023 FULL 13541). Enrolment began in August 2023. Results will be presented at local, national and international meetings, including dissemination via community groups, and submission for publication to peer-reviewed journals. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry ACTRN12623000764639; Australian New Zealand Clinical Trials Registry.


Subject(s)
Artificial Intelligence , Asthma , Adolescent , Adult , Child , Female , Humans , Male , Nebulizers and Vaporizers , New Zealand , Observational Studies as Topic , Prospective Studies
3.
Respir Med ; 218: 107376, 2023 11.
Article in English | MEDLINE | ID: mdl-37549796

ABSTRACT

BACKGROUND: Poor adherence to inhaled medication has been associated with poor outcomes. Smart spacers can monitor inhaler use and technique, yet their feasibility in adults with asthma and their potential benefits are unknown. OBJECTIVE: Assessing the feasibility of undertaking a definitive randomized controlled trial (RCT) of smart spacer-based inhaler education and explore potential clinical benefits in adults with asthma. METHODS: Two-month randomized controlled feasibility OUtcomes following Tailored Education and Retraining: Studying Performance and AdherenCE (OUTERSPACE) trial comparing personalized smart spacer-based inhaler education versus usual care. Patients were recruited in four Dutch primary care centres. Outcomes were feasibility (inclusion speed, patient acceptance), medication adherence, inhaler technique, clinical effects (lung function, ACQ, FeNO) and usability (System Usability Scale [SUS]). RESULTS: 42 patients were randomized and all completed the study. The feasibility of performing a larger trial focusing on asthma patient education using a smart spacer was demonstrated with all patients included in four months and a participation rate of 86%. In the intervention group, inhalation errors per day decreased by 26.2% while in the usual care group inhalation errors increased by 14.6% (p = 0.021). Adherence decreased slightly in the intervention group as opposed to improvement in the control group (difference 12%, p = 0.028). No changes in lung function, ACQ or FeNO were observed. Usability was deemed high (SUS patients 71, nurses 89). CONCLUSION: This RCT showed that smart spacer-driven education in patients with asthma is feasible and in this short-term study reduced inhaler errors. Longer-term and larger studies are required to assess clinical effects.


Subject(s)
Asthma , Adult , Humans , Asthma/drug therapy , Nebulizers and Vaporizers , Administration, Inhalation , Metered Dose Inhalers , Medication Adherence , Electronics
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