ABSTRACT
ObjectiveTo establish and evaluate a chronic obstructive pulmonary disease （COPD） model with lung-spleen qi deficiency. MethodA rat model mimicking COPD with lung-spleen qi deficiency was established by the combination of cigarette smoking and intratracheal instillation of lipopolysaccharide （LPS） along with gavage of Sennae Folium infusion. Forty male SPF-grade SD rats were randomly assigned to blank， model， and low- （L-FXY）， medium- （M-FXY）， and high-dose （H-FXY） Sennae Folium infusion groups. Other groups except the blank group were exposed to daily cigarette smoke， with LPS administrated via intratracheal instillation on the 1st and 14th days. On the 28th day of modeling， the L-FXY， M-FXY， and H-FXY groups were administrated with Sennae Folium infusion at 5， 10， and 20 g·kg-1， respectively， and at 4 ℃ for three weeks. The modeling lasted for 49 days. The general conditions （body mass， food intake， fecal water content， and anal temperature） and behaviors （grip strength test and tail suspension test） of rats in different groups were examined. The lung function， lung histopathology， D-xylose， amylase， and gastrin levels in the serum， interleukin（IL）-1β and IL-6 levels in the alveolar lavage fluid， levels of T-lymphocyte subsets （CD4+， CD8+， and CD4+/CD8+） in the peripheral blood， and thymus and spleen indices were measured. ResultTwo rats died in the H-FXY group. Compared with the blank group， both the M-FXY and H-FXY groups exhibited reduced body mass and food intake （P<0.01） and increased fecal water content （P<0.01）. The anal temperature in the H-FXY group was lower than that in the blank group （P<0.01）. The grip strength decreased in the modeling groups compared with the blank group （P<0.01）， and the duration of immobility in the tail suspension test increased in the M-FXY and H-FXY groups （P<0.05， P<0.01）. Compared with the blank group， the modeling groups showed reduced 0.3 second forced expiratory volume （FEV0.3）， FEV0.3/forced vital capacity （FVC）（P<0.01）， thickening of bronchial walls， proliferation of goblet cells， and the presence of emphysematous changes. In terms of gastrointestinal function， the M-FXY and H-FXY groups had lower levels of D-xylose， gastrin， and α-amylase than the blank group （P<0.01）. Regarding the immune and inflammatory indices， the M-FXY and H-FXY groups showed lower thymus and spleen indices than the blank group （P<0.01）. Compared with the blank group， the modeling groups presented lowered CD4+ level （P<0.01） and CD4+/CD8+ ratio （P<0.05， P<0.01） in the peripheral blood and elevated levels of IL-1β and IL-6 in the alveolar lavage fluid （P<0.01） than the blank group. ConclusionA model of COPD with lung-spleen Qi deficiency was established through the combination of daily cigarette smoke， intratracheal instillation with LPS， and gavage of Sennae Folium infusion. The comprehensive evaluation results suggested medium-dose （10 g·kg-1） Sennae Folium infusion for gavage during the modeling of COPD with lung-spleen Qi deficiency.
ABSTRACT
As a low-load physiological monitoring technology, wearable devices can provide new methods for monitoring, evaluating and managing chronic diseases, which is a direction for the future development of monitoring technology. However, as a new type of monitoring technology, its clinical application mode and value are still unclear and need to be further explored. In this study, a central monitoring system based on wearable devices was built in the general ward (non-ICU ward) of PLA General Hospital, the value points of clinical application of wearable physiological monitoring technology were analyzed, and the system was combined with the treatment process and applied to clinical monitoring. The system is able to effectively collect data such as electrocardiogram, respiration, blood oxygen, pulse rate, and body position/movement to achieve real-time monitoring, prediction and early warning, and condition assessment. And since its operation from March 2018, 1 268 people (657 patients) have undergone wearable continuous physiological monitoring until January 2020, with data from a total of 1 198 people (632 cases) screened for signals through signal quality algorithms and manual interpretation were available for analysis, accounting for 94.48 % (96.19%) of the total. Through continuous physiological data analysis and manual correction, sleep apnea event, nocturnal hypoxemia, tachycardia, and ventricular premature beats were detected in 232 (36.65%), 58 (9.16%), 30 (4.74%), and 42 (6.64%) of the total patients, while the number of these abnormal events recorded in the archives was 4 (0.63%), 0 (0.00%), 24 (3.80%), and 15 (2.37%) cases. The statistical analysis of sleep apnea event outcomes revealed that patients with chronic diseases were more likely to have sleep apnea events than healthy individuals, and the incidence was higher in men (62.93%) than in women (37.07%). The results indicate that wearable physiological monitoring technology can provide a new monitoring mode for inpatients, capturing more abnormal events and provide richer information for clinical diagnosis and treatment through continuous physiological parameter analysis, and can be effectively integrated into existing medical processes. We will continue to explore the applicability of this new monitoring mode in different clinical scenarios to further enrich the clinical application of wearable technology and provide richer tools and methods for the monitoring, evaluation and management of chronic diseases.
Subject(s)
Humans , Heart Rate , Monitoring, Physiologic , Movement , Sleep Apnea Syndromes , Wearable Electronic DevicesABSTRACT
Wearable physiological parameter monitoring devices play an increasingly important role in daily health monitoring and disease diagnosis/treatment due to their continuous dynamic and low physiological/psychological load characteristics. After decades of development, wearable technologies have gradually matured, and research has expanded to clinical applications. This paper reviews the research progress of wearable physiological parameter monitoring technology and its clinical applications. Firstly, it introduces wearable physiological monitoring technology's research progress in terms of sensing technology and data processing and analysis. Then, it analyzes the monitoring physiological parameters and principles of current medical-grade wearable devices and proposes three specific directions of clinical application research: 1) real-time monitoring and predictive warning, 2) disease assessment and differential diagnosis, and 3) rehabilitation training and precision medicine. Finally, the challenges and response strategies of wearable physiological monitoring technology in the biomedical field are discussed, highlighting its clinical application value and clinical application mode to provide helpful reference information for the research of wearable technology-related fields.
Subject(s)
Monitoring, Physiologic , Wearable Electronic DevicesABSTRACT
This paper aims to study the accuracy of cardiopulmonary physiological parameters measurement under different exercise intensity in the accompanying (wearable) physiological parameter monitoring system. SensEcho, an accompanying physiological parameter monitoring system, and CORTEX METALYZER 3B, a cardiopulmonary function testing system, were used to simultaneously collect the cardiopulmonary physiological parameters of 28 healthy volunteers (17 males and 11 females) in various exercise states, such as standing, lying down and Bruce treadmill exercise. Bland-Altman analysis, correlation analysis and other methods, from the perspective of group and individual, were used to contrast and analyze the two types of equipment to measure parameters of heart rate and breathing rate. The results of group analysis showed that the heart rate and respiratory rate data box charts collected by the two devices were highly consistent. The heart rate difference was (-0.407 ± 3.380) times/min, and the respiratory rate difference was (-0.560 ± 7.047) times/min. The difference was very small. The Bland-Altman plot of the heart rate and respiratory rate in each experimental stage showed that the proportion of mean ± 2SD was 96.86% and 95.29%, respectively. The results of individual analysis showed that the correlation coefficients of the whole-process heart rate and respiratory rate data were all greater than 0.9. In conclusion, SensEcho, as an accompanying physiological parameter monitoring system, can accurately measure the human heart rate, respiration rate and other key cardiopulmonary physiological parameters under various sports conditions. It can maintain good stability under various sports conditions and meet the requirements of continuous physiological signal collection and analysis application under sports conditions.