Exercise ventilatory irregularity can be quantified by approximate entropy to detect breathing pattern disorder
Autor: | Michael I. Polkey, Harry B. Rossiter, Taranpal Bansal, Gulam S. Haji, James H. Hull |
---|---|
Rok vydání: | 2018 |
Předmět: |
Male
Pulmonary and Respiratory Medicine medicine.medical_specialty Respiratory rate Physiology Entropy Vital Capacity 030204 cardiovascular system & hematology behavioral disciplines and activities Approximate entropy 03 medical and health sciences 0302 clinical medicine Breathing pattern Forced Expiratory Volume Internal medicine mental disorders Humans Medicine In patient Exercise Tidal volume Retrospective Studies business.industry Respiration General Neuroscience VO2 max Middle Aged Exertional dyspnoea Dyspnea Nonlinear Dynamics ROC Curve 030228 respiratory system Area Under Curve Data Interpretation Statistical Exercise Test Cardiology Female Blood Gas Analysis business Respiratory minute volume |
Zdroj: | Respiratory Physiology & Neurobiology. 255:1-6 |
ISSN: | 1569-9048 |
DOI: | 10.1016/j.resp.2018.05.002 |
Popis: | Background Breathing pattern disorder (BPD) is a prevalent cause of exertional dyspnea and yet there is currently no reliable objective measure for its diagnosis. We propose that statistical analysis of ventilatory irregularity, quantified by approximate entropy (ApEn), could be used to detect BPD when applied to cardiopulmonary exercise test (CPET) data. We hypothesized that ApEn of ventilatory variables (tidal volume (VT), breathing frequency (Bf), minute ventilation (VE)) would be greater, i.e. more irregular, in patients with BPD than healthy controls. Methods We evaluated ventilatory ApEn in 20 adults (14 female) with exertional dyspnoea, undergoing CPET and independently diagnosed with BPD by a specialist respiratory physiotherapist. Data were compared with 15 age- gender- and BMI-matched controls. ApEn for VT, Bf and VE were calculated for an incremental cycle exercise test. Results Patients with BPD more frequently rated breathlessness as the reason for exercise limitation and had a lower mean (SD) peak oxygen uptake compared with controls: 80 (18) vs. 124 (27) % predicted (P 0.88, conferred a sensitivity and specificity of 70% and 87% respectively, for detection of BPD. Conclusions Non-linear statistical interrogation of CPET-acquired ventilatory data has utility in the detection of BPD. A simple calculation of approximate entropy of ventilation, during an incremental cardiopulmonary exercise test, provides a quantitative method to detect BPD. |
Databáze: | OpenAIRE |
Externí odkaz: |