ESS - CAR - Comunicações em eventos científicos
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Browsing ESS - CAR - Comunicações em eventos científicos by Subject "Asthma"
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- Automatic quality assessment of smart device microphone spirometryPublication . Pinho, B.; Almeida, R.; Jácome, C.; Teixeira, J. P.; Amaral, Rita; Lopes, F.; Jacinto, Tiago; Guedes, R.; Pereira, M.; Gonçalves, I.; Fonseca, J. A.; Amaral, RitaLung function tests are critical for diagnosis and monitoring of asthma and other respiratory diseases. Monitoring of lung function, in the absence of a healthcare professional, is very challenging but may be obtained through Smart Devices if automated quality assessment systems guarantee the proper technique during the forced expiratory manoeuvre. This paper describes the evaluation of one such system that uses the microphone of smart devices, regarding the initial effort of forced expiratory manoeuvres using the Back Extrapolated Volume. A health professional recorded microphone spirometry in 55 children (5-10 years), using a mobile game engineered for the purpose, and registered its quality. At least one acceptable manoeuvre was achieved for 96% of the children using a featured threshold. Using a stricter threshold of 5% of forced vital capacity, it was possible to ensure at least one acceptable manoeuvre for 69%. While the obtained results are comparable to findings in literature for regular spirometry in this age group, further work is required before we can determine whether the proposed algorithm is effective in real life.
- Data-driven prescription patterns in patients under maintenance treatment for respiratory diseases from the Portuguese prescription databasePublication . Sá-Sousa, Ana; Amaral, Rita; Almeida, Rute; Freitas, Alberto; Fonseca, João AWe aimed to identify prescription patterns in respiratory patients using an unsupervised (data-driven) method, in a random sample of patients aged >14 years (n=8799), retrieved from the Portuguese Electronic Medical Prescription database. Respiratory patients were defined if >2 packs of maintenance treatment for respiratory diseases were prescribed in 2016. We analysed all the prescriptions (n=39810) for respiratory diseases and exacerbations by medication type. Two-step clustering was based on the presence of ICS, LABA, LTRA, LAMA, LABA, SABA, SAMA and on the speciality of prescriber.
- Engagement and usage patterns of a mobile application to monitor disease and treatment adherence in patients with asthmaPublication . Almeida, Rute; Jácome, Cristina; Vieira-Marques, Pedro; Pereira, Ana; Sá-Sousa, Ana; Amaral, Rita; Valente, José; Fonseca, João Almeida; Amaral, RitaInhaled therapies are the cornerstone of effective asthma treatment and adequate inhaled medication adherence (IMA) is critical. mHealth technologies have shown to be promise for asthma self-management, including IMA improvement. InspirerMundi is a mobile application designed to support self-management of patients with asthma. It aims to transform the adherence to treatment into a positive experience through gamification and social interaction while allowing for ubiquitous verified IMA monitoring. The app includes an image-based inhaler usage detection tool, tools for reporting symptoms and burden of the asthma (disease monitoring) and Game & Peer support features. Still, the effectiveness of these tools depends on a regular app use and a real-life assessment of patient engagement and pattern of use is needed. This work evaluates the patient engagement, usage, and acceptance of InspirerMundi app during a real-world multicentre feasibility study. The app use was recommended for a 4-months period to 77 participants with persistent asthma. From those, 72 installed the app, with 67% of them beginning to use both the inhaler usage detection tool and the disease monitoring components within the first week. Over 95% used it more than once, with the period of usage (from first use to last registered monitoring in 2018) being over 30 days for almost 70% of the users, and over 90 days for around 35%. Nevertheless, the usage rate (ratio of the number of days with app usage and the period of use) had a median value of 0.6 and was above 75% for only 35% of the users, revealing room for improvement. In general, the users started to use the app features right after installation and the usage patterns and retention rates indicate that InspirerMundi is well accepted among patients with asthma.
- Identification of asthma phenotypes in the US general population: A latent class analysis approachPublication . Amaral, Rita; Pereira, Ana M; Jacinto, Tiago; Malinovsch, A; Janson, C; Alving, K; Fonseca, J. A.Combining clinical and physiological data from adults with asthma by means of unsupervised classification methods could provide a better taxonomy among the general asthma population. Therefore, we aimed to identify distinct phenotypes using latent class analysis (LCA), in adults with current asthma from the general population.
- Quality assessment and feedback of Smart Device Microphone Spirometry executed by childrenPublication . Almeida, Rute; Pinho, Bernardo; Jácome, Cristina; Teixeira, Joao Fonseca; Amaral, Rita; Lopes, Filipa; Jacinto, Tiago; Guedes, Rui; Pereira, Mariana; Goncalves, Ivania; Fonseca, Joao AlmeidaSmart device microphone spirometry, based on the audio recording of forced expiratory maneuver (FEM), can be a simple, ubiquitous and easy tool for patients to self-monitor their asthma. Automatic validity assessment is crucial to guarantee that the global effort of the FEM fulfil the admissible minimum or if the maneuver needs to be repeated. In this work an automatic method to classify the sounds from FEM with respect to global effort was developed and evaluated using data from 54 children (5-10 years). The method proposed was able to correctly classify the microphone spirometry with respect to admissible minimum of effort with an accuracy of 86% (specificity 87% and sensitivity 86%). This method can be used to provide immediate feedback of the correct execution of the maneuver, improving the clinical value and utility of this self-monitoring tool.
- What physical education teachers know about asthma: impact of a training coursePublication . Couto, M; Marques, J; Silva, D; Paiva, M; Jacinto, Tiago; Câmara, RGiven the current prevalence of asthma in developed countries, there are likely to be at least 2 or 3 asthmatic children in most classes. However, few teachers have received training on how to manage the disease. A previous study in Portugal showed teacher knowledge of asthma to be deficient.
- Where do we stand with asthma phenotypes derived from data-driven methods? A systematic reviewPublication . Amaral, Rita; Jacinto, Tiago; Sousa-Pinto, Bernardo; Fonseca, JoãoAsthma phenotypes can be refined using methods without a priori assumptions (data-driven). We aimed to describe asthma phenotypes derived with data-driven methods, using variables easily measurable in a clinical setting, and to summarize their consistency.