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- W2991205908 abstract "Introduction: The goal of asthma management is to achieve optimal asthma control. Dysfuctional breathing patterns are common in asthma. However breathing patterns are primarly assessed indirectly via Nijmegen questionnaire (NQ). Aim: To examine whether quantifiable components of breathing patterns are associated with levels of asthma control and NQ scores. Methods: Structured Light Plethysmography was used to record breathing patterns for 5 minutes in adults with mild to severe asthma. Mean respiratiry rate (RR), inspiration time over expiration time (Ti/Te), ribcage displacement over abdominal displacement (RC/AB) and within-individiual variability (CoV%) were calculated. Asthma control was asessed using Asthma Control Questionnaire (ACQ) and dysfuctional breathing via NQ. Relationships between outcomes were sought. Results: 122 adults with asthma (75 females) with mean age (SD) 44.75 years (15.98), mean BMI 25.74 kg/m2 (3.95) on GINA Step 3 to 4 (73%) or Step 2 treatment were recruited. 59 patients had ACQ Conclusion: High variability of quantified elements of breathing patterns can predict lower asthma control and presence of breathing pattern disorders." @default.
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- W2991205908 date "2019-09-28" @default.
- W2991205908 modified "2023-09-23" @default.
- W2991205908 title "Quantified breathing patterns can be used as a physiological marker to monitor asthma" @default.
- W2991205908 doi "https://doi.org/10.1183/13993003.congress-2019.pa5038" @default.
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