Smyth Carol M E, Winter Samantha L, Dickinson John W
School of Sport and Exercise Sciences, University of Kent, Chipperfield Building, Canterbury Kent CT2 7NZ, UK.
School of Sport, Exercise and Health Sciences, Loughborough University, National Centre for Sport and Exercise Medicine, Loughborough LE11 3TT, UK.
Transl Sports Med. 2022 Dec 3;2022:2816781. doi: 10.1155/2022/2816781. eCollection 2022.
There is no gold standard diagnostic method for breathing pattern disorders (BPD) which is commonly diagnosed through the exclusion of other pathologies. Optoelectronic plethysmography (OEP) is a 3D motion capture technique that provides a comprehensive noninvasive assessment of chest wall during rest and exercise. The purpose of this study was to determine if OEP can distinguish between active individuals classified with and without BPD at rest and during exercise. Forty-seven individuals with a healthy breathing pattern (HBP) and twenty-six individuals with a BPD performed a submaximal exercise challenge. OEP measured the movement of the chest wall through the calculation of timing, percentage contribution, and phase angle breathing pattern variables. A mixed model repeated measures ANOVA analysed the OEP variables between the groups classified as HBP and BPD at rest, during exercise, and after recovery. At rest, regional contribution variables including ribcage percentage contribution (HBP: 71% and BPD: 69%), abdominal ribcage contribution (HBP: 13% and BPD: 11%), abdomen percentage contribution (HBP: 29% and BPD: 31%), and ribcage and abdomen volume index (HPB: 2.5 and BPD: 2.2) were significantly ( < 0.05) different between groups. During exercise, BPD displayed significantly ( < 0.05) more asynchrony between various thoracic compartments including the ribcage and abdomen phase angle (HBP: -1.9 and BPD: -2.7), pulmonary ribcage and abdomen phase angle (HBP: -0.5 and BPD, 0.5), abdominal ribcage and shoulders phase angle (HBP: -0.3 and BPD: 0.6), and pulmonary ribcage and shoulders phase angle (HBP: 0.2 and BPD: 0.6). Additionally, the novel variables inhale deviation (HBP: 8.8% and BPD: 19.7%) and exhale deviation (HBP: -10.9% and BPD: -17.6%) were also significantly ( < 0.05) different between the groups during high intensity exercise. Regional contribution and phase angles measured via OEP can distinguish BPD from HBP at rest and during exercise. Characteristics of BPD include asynchronous and thoracic dominant breathing patterns that could form part of future objective criteria for the diagnosis of BPD.
对于呼吸模式障碍(BPD),目前尚无金标准诊断方法,通常通过排除其他病理情况来进行诊断。光电体积描记法(OEP)是一种三维运动捕捉技术,可在静息和运动期间对胸壁进行全面的无创评估。本研究的目的是确定OEP能否区分在静息和运动状态下被分类为有或无BPD的活跃个体。47名呼吸模式正常(HBP)的个体和26名患有BPD的个体进行了次最大运动挑战。OEP通过计算时间、百分比贡献和相位角呼吸模式变量来测量胸壁的运动。采用混合模型重复测量方差分析,分析静息、运动和恢复后被分类为HBP和BPD的两组之间的OEP变量。静息时,区域贡献变量包括胸廓百分比贡献(HBP:71%,BPD:69%)、腹部胸廓贡献(HBP:13%,BPD:11%)、腹部百分比贡献(HBP:29%,BPD:31%)以及胸廓和腹部体积指数(HPB:2.5,BPD:2.2)在两组之间存在显著差异(<0.05)。运动期间,BPD在包括胸廓和腹部相位角(HBP:-1.9,BPD:-2.7)、肺部胸廓和腹部相位角(HBP:-0.5,BPD:0.5)、腹部胸廓和肩部相位角(HBP:-0.3,BPD:0.6)以及肺部胸廓和肩部相位角(HBP:0.2,BPD:0.6)在内的各个胸腔隔室之间表现出更显著的(<0.05)不同步。此外,在高强度运动期间,新变量吸气偏差(HBP:8.8%,BPD:19.7%)和呼气偏差(HBP:-10.9%,BPD:-17.6%)在两组之间也存在显著差异(<0.05)。通过OEP测量的区域贡献和相位角可以在静息和运动时区分BPD和HBP。BPD的特征包括不同步和以胸廓为主导的呼吸模式,这可能构成未来BPD诊断客观标准的一部分。