A remote interactive consultation system based on wireless sensor networks is proposed for family health care works and non-hospital special case patient monitoring. The sensor nodes are integrated into a local area network to collect a variety of human physiological information, which is uploaded to Internet through the Code-Division Multiple Access (CDMA) wireless network technology and sent to the database based on GIS spatial location query technology for achieving electronic diagnosis. Users or administrators can visit remote monitor region through Internet. The results show that the system, using a star passive topology of static gateway and mobile detection node, combines intelligent-distributed wireless sensing, computing and wireless communication technologies. Hence the proposed system has a great practical value.
Biosensing Techniques ; methods ; Computer Communication Networks ; Diagnosis, Computer-Assisted ; instrumentation ; Equipment Design ; Humans ; Monitoring, Ambulatory ; instrumentation ; methods ; Monitoring, Physiologic ; methods ; Signal Processing, Computer-Assisted ; instrumentation ; Telemedicine

Objective To compare the default mode network (DMN) between patients with gastroesophageal reflux disease (GERD) and healthy controls (HCs).Methods Included for this study were 30 GERD patients who were treated at Department of Digestive Diseases,Zhujiang Hospital from September 2016 to December 2017 and contemporary 49 HCs who received health examination at the out-patient department.Resting-state functional magnetic resonance imaging (fMRI) was conducted for the 2 groups.Fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) were used to study significant alterations in their DMN.Results Compared with the HCs,the GERD patients demonstrated the following alterations:the ReHo values were significantly decreased in bilateral superior temporal gyri,middle temporal gyri and dorsal anterior cingulate cortexes (dACC) but significantly increased in bilateral medial prefrontal lobes,dorsal anterior cingutates,posterior cingulates,precunei,and angular gyri;the fALFF value was increased in bilateral dACC and precunei but decreased in the paracentral lobules (P＜0.05).Conjunction analyses using both ReHo and fALFF values of their DMN showed the overlapping activated brain regions lied in the paracentral lobules,dACC and precunei.The fALFF values in the paracentral lobules and the dACC of the GERD patients were negatively correlated with their disease course (r=-0.380,P=0.035;r=-0.375,P=0.041) while the ReHo values in the superior temporal gyri of the GERD patients were also negatively correlated with their disease course (r=-0.446,P=0.016).Conclusion In GERD patients,their DMN might undergo dysfunctional changes because of the abnormal activity of DMN which may be correlated with their disorder of visceral sensation.

ObjectiveTo explore the association between triglyceride-glucose （TyG） index and major adverse cardiovascular events （MACEs） risk in coronary heart disease （CHD） patients with blood stasis syndrome after percutaneous coronary intervention （PCI）. MethodsA total of 857 CHD patients with blood stasis syndrome after PCI were enrolled and divided into four groups according to the baseline TyG index quartiles， Q1 （TyG ＜ 8.51）， Q2 （8.51 ≤ TyG ＜ 8.88）， Q3 （8.88 ≤ TyG ＜ 9.22）， and Q4 （TyG ≥ 9.22）. The clinical outcome was defined as a compound endpoint of cardiovascular events including cardiac death， non-fatal myocardial infarction， unplanned revascularization， in-stent restenosis and stroke. The machine learning Boruta algorithm was used for feature selection related to MACEs risk. Kaplan-Meier survival analysis and Cox proportional hazards regression model were used to compare the differences in MACEs risk among the four groups. Restricted cubic spline （RCS） and subgroup analysis were performed to determine the relationship between the TyG index and MACEs risk. The area under the receiver operating characteristic （ROC） curve （AUC）， calibration curve and Hosmer-Lemeshow test， and decision curve analysis （DCA） were plotted to evaluate the predictive value of the TyG index for MACEs risk. ResultsThe median follow-up time of the included patients was 2.45 years. During the follow-up period， 313 cases （36.52%） of new MACEs occurred. The incidence of MACEs in Q1， Q2， Q3， Q4 group was 28.17% （60/213）， 29.05% （61/210）， 39.45% （86/218） and 49.07% （106/216）， respectively. Kaplan-Meier survival analysis suggested statistically significant differences in MACEs risk among the four groups （P＜0.001）. Cox proportional hazards regression model analysis found that the risk of MACEs in patients with high TyG index increased by 60.1% （P＜0.01）. Using Q1 as the reference， the MACEs risk in Q2， Q3 and Q4 groups gradually increased， and the trend was statistically significant （P＜0.05）. RCS model suggested that the TyG index was nonlinearly associated with the MACEs risk （P＜0.001）. The TyG index had a good predictive performance for MACEs risk according to ROC analysis （AUC=0.758， 0.724-0.792） and Hosmer-Lemeshow test （χ² = 4.319， P = 0.827）. Additionally， DCA analysis also suggested a good clinical efficacy of the TyG index for predicting MACEs. Subgroup analysis showed that different baseline TyG index was positively correlated with the MACEs risk in the stratification of age， male， BMI， history of diabetes and hypertension， and low-density lipoprotein cholesterol （LDL-C）≥1.8 mmol·L^-1（P＜0.05）. ConclusionThe elevated TyG index is closely corrected with an increased risk of MACEs in CHD patients with blood stasis syndrome after PCI， indicating a guiding significance for early risk stratification and clinical decisions.

Objective This article aims to investigate the association between hypertension and the risk of GSD by conducting a national multicenter study,a systematic review,and a meta-analysis.Methods The study was conducted in three stages.In the first stage,subjects were recruited for health examination in four hospitals in Chengdu,Tianjin,Beijing,and Chongqing,China,from 2015 to 2020,and the multivariate logistic regression analysis was used to investigate the association between hypertension and the risk of GSD in each center.In the second stage,Embase,PubMed,Wanfang Data,VIP,and CNKI databases were searched for related studies published up to May 2021,and a meta-analysis was conducted to further verify such association.In the third stage,the random effects model was used for pooled analysis of the results of the multicenter cross-sectional study and the findings of previous literature.Results A total of 633 948 participants were enrolled in the cross-sectional study,and the prevalence rate of GSD was 7.844%.The multivariate logistic regression analysis showed that hypertension was positively associated with the risk of GSD(P＜0.05).Subgroup analysis showed that there was no significant difference in the association between hypertension and GSD between individuals with different sexes,ages,and subtypes of GSD.A total of 80 articles were included in the systematic review and the meta-analysis,and the results showed that the risk of GSD was increased by 1.022 times for every 10 mmHg increase in diastolic pressure and 1.014 times for every 10 mmHg increase in systolic pressure.Conclusion Hypertension significantly increases the risk of GSD,and the findings of this study will provide a basis for the etiology of GSD and the identification of high-risk groups.