Sánchez-Solís Alejandra Margarita, Peláez-Hernández Viridiana, Santiago-Fuentes Laura Mercedes, Luna-Rodríguez Guadalupe Lizzbett, Reyes-Lagos José Javier, Orea-Tejeda Arturo
School of Medicine, Universidad Autónoma del Estado de México (UAEMéx), Toluca de Lerdo 50180, Mexico.
Cardiology Service, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INER), Mexico City 14080, Mexico.
Entropy (Basel). 2023 May 30;25(6):874. doi: 10.3390/e25060874.
Most COVID-19 survivors report experiencing at least one persistent symptom after recovery, including sympathovagal imbalance. Relaxation techniques based on slow-paced breathing have proven to be beneficial for cardiovascular and respiratory dynamics in healthy subjects and patients with various diseases. Therefore, the present study aimed to explore the cardiorespiratory dynamics by linear and nonlinear analysis of photoplethysmographic and respiratory time series on COVID-19 survivors under a psychophysiological assessment that includes slow-paced breathing. We analyzed photoplethysmographic and respiratory signals of 49 COVID-19 survivors to assess breathing rate variability (BRV), pulse rate variability (PRV), and pulse-respiration quotient (PRQ) during a psychophysiological assessment. Additionally, a comorbidity-based analysis was conducted to evaluate group changes. Our results indicate that all BRV indices significantly differed when performing slow-paced breathing. Nonlinear parameters of PRV were more appropriate for identifying changes in breathing patterns than linear indices. Furthermore, the mean and standard deviation of PRQ exhibited a significant increase while sample and fuzzy entropies decreased during diaphragmatic breathing. Thus, our findings suggest that slow-paced breathing may improve the cardiorespiratory dynamics of COVID-19 survivors in the short term by enhancing cardiorespiratory coupling via increased vagal activity.
大多数新冠病毒感染者康复后报告称至少出现一种持续症状，包括交感迷走神经失衡。基于慢节奏呼吸的放松技巧已被证明对健康受试者和患有各种疾病的患者的心血管和呼吸动力学有益。因此，本研究旨在通过对新冠病毒感染者在包括慢节奏呼吸的心理生理评估下的光电容积脉搏波和呼吸时间序列进行线性和非线性分析，探索其心肺动力学。我们分析了49名新冠病毒感染者的光电容积脉搏波和呼吸信号，以评估心理生理评估期间的呼吸频率变异性（BRV）、心率变异性（PRV）和脉率呼吸商（PRQ）。此外，还进行了基于合并症的分析以评估组间变化。我们的结果表明，在进行慢节奏呼吸时，所有BRV指标均有显著差异。PRV的非线性参数比线性指标更适合识别呼吸模式的变化。此外，在膈式呼吸期间，PRQ的平均值和标准差显著增加，而样本熵和模糊熵降低。因此，我们的研究结果表明，慢节奏呼吸可能通过增加迷走神经活动来增强心肺耦合，从而在短期内改善新冠病毒感染者的心肺动力学。
