Heart valve disease (HVD) is one of the common cardiovascular diseases. Heart sound is an important physiological signal for diagnosing HVDs. This paper proposed a model based on combination of basic component features and envelope autocorrelation features to detect early HVDs. Initially, heart sound signals lasting 5 minutes were denoised by empirical mode decomposition (EMD) algorithm and segmented. Then the basic component features and envelope autocorrelation features of heart sound segments were extracted to construct heart sound feature set. Then the max-relevance and min-redundancy (MRMR) algorithm was utilized to select the optimal mixed feature subset. Finally, decision tree, support vector machine (SVM) and k-nearest neighbor (KNN) classifiers were trained to detect the early HVDs from the normal heart sounds and obtained the best accuracy of 99.9% in clinical database. Normal valve, abnormal semilunar valve and abnormal atrioventricular valve heart sounds were classified and the best accuracy was 99.8%. Moreover, normal valve, single-valve abnormal and multi-valve abnormal heart sounds were classified and the best accuracy was 98.2%. In public database, this method also obtained the good overall accuracy. The result demonstrated this proposed method had important value for the clinical diagnosis of early HVDs.
Objective To analyze the causal relationship between gut microbiota and tic disorder based on Mendelian randomization (MR). Methods A total of 196 known microbiota (9 phyla, 16 classes, 20 orders, 32 families, and 119 genera) in the human intestinal microbiota dataset downloaded from the MiBioGen database were selected as the exposure factors, and the dataset of tic disorder (finn-b-KRA_PSY_TIC) containing 172 patients and 218620 controls was downloaded from the genome-wide association study database as the outcome variable. Inverse variance weighted was used as the main analysis method, and the causal relationship between gut microbiota and tic disorder was evaluated using odds ratio (OR) and its 95% confidence interval (CI). Horizontal pleiotropy was tested by MR-Egger intercept and MR-PRESSO global test, heterogeneity was assessed by Cochran’s Q test, and sensitivity analysis was performed by leave-one-out method. Results Inverse variance weighted results showed that the Family Rhodospirillaceae [OR=0.398, 95%CI (0.191, 0.831), P=0.014], Order Rhodospirillales [OR=0.349, 95%CI (0.164, 0.743), P=0.006], and Parasutterella [OR=0.392, 95%CI (0.171, 0.898), P=0.027] had negative causal relationships with tic disorder. The Genus Lachnospira [OR=8.784, 95%CI (1.160, 66.496), P=0.035] and Candidatus Soleaferrea [OR=2.572, 95%CI (1.161, 5.695), P=0.020] had positive causal relationships with tic disorder. In addition, MR-Egger intercept and MR-PRESSO global test showed no horizontal pleiotropy, Cochran’s Q test showed no heterogeneity, and leave-one-out sensitivity analysis showed the results were stable. Conclusions A causal relationship exists between gut microbiota and tic disorder. The Family Rhodospirillaceae, Order Rhodospirillales, and Parasutterella are associated with a decreased risk of tic disorder, while the Genus Lachnospira and Candidatus Soleaverea can increase the risk of tic disorder.
ObjectiveTo explore the correlation between readiness for hospital discharge and short-term quality of life among colorectal cancer (CRC) patients following enhanced recovery after surgery (ERAS) mode.MethodsSurveys of 127 CRC patients following ERAS mode were conducted in the West China Hospital of Sichuan University. The Readiness for Hospital Discharge Scale and EORTC QLQ-C30 Scale were issued at the discharge and 1 month after the operation, respectively.ResultsThe total score of RHDS was 149.43±33.25. The score of global quality of life was 66.80±18.84. Correlation analysis showed that the total score of RHDS was positively correlated with the score of global quality of life (r=0.220, P=0.013), and negatively correlated with the scores of fatigue, nausea and vomiting, pain, loss of appetite (r=–0.304, P=0.001; r=–0.189, P=0.033; r=–0.257, P=0.004; r=–0.254, P=0.004). The score of personal status dimension were positively correlated with the score of global quality of life and emotional function (r=0.213, P=0.016; r=0.197, P=0.027), and negatively correlated with scores of fatigue, pain and insomnia (r=–0.311, P=0.000; r=–0.264, P=0.003; r=–0.257, P=0.004). The score of knowledge dimension was negatively correlated with nausea and vomiting, pain and loss of appetite (r=–0.212, P=0.017; r=–0.182, P=0.040; r=–0.239, P=0.007). The score of coping ability dimension was positively correlated with the score of global quality of life and physical function (r=0.204, P=0.021; r=0.204, P=0.021), while negatively correlated with scores of fatigue, pain, insomnia and loss of appetite (r=–0.349, P=0.000; r=–0.240, P=0.007; r=–0.202, P=0.022; r=–0.201, P=0.024). The score of expected support was positively correlated with the score of global quality of life (r=0.220, P=0.013), and negatively correlated with scores of fatigue and loss of appetite (r=–0.249, P=0.005; r=–0.227, P=0.010).ConclusionsThe short term quality of life among CRC patients following ERAS keeps at upper middle level, and positively correlated with the readiness for hospital discharge. It is suggested that discharge preparation service is of great significance to improve the quality of life of patients.
ObjectiveThe time relationship between seizure semiology and epileptic discharges during focal epileptic seizures is a crucial predictor for the localization of epileptogenic zone. Low voltage fast activities (LVFA), especially gamma band oscillations, are confirmed to play a central role in ictogenesis and semiology production. In the present study, we focus on the “electro-clinical correlation” between LVFA in agranulo-dysgranular insulo-cingulate cortices and the sign of “Chapeau de gendarme (CDG)” via detailed analysis of ictal video-stereoencephalography (video-SEEG) of focal epileptic seizures. MethodsWe retrospectively analyzed the ictal video-SEEG of the 7 cases in which CDG signs were presented in habitual seizures and intracerebral electrodes were co-implanted in agranulo-dysgranular insular and cingulate cortices. We calculate the latency of LVFA in each of cortical regions of interest, agranulo-dygranular insular cortex, agranulo-dysgranular cingulate cortex, and the latency of CDG signs via visual and spectral analysis of the ictal SEEG. Moreover, Pearson correlation analysis and linear regression were used to test the time relationship between gamma band oscillations in agranulo-dysgranular insulo-cingulate cortices and generation of CDG signs. ResultsThe co-activation of LVFA occurred in agranulo-dysgranular insulo-cingulate cortices always preceded the appearance of CDG sign in all of the 69 seizures. The LVFA were confirmed as gamma band oscillations via spectral analysis of SEEG. A linear relationship between the latencies of CDG signs and the latencies of co-activation of agranulo-dysgranular insulo-cingulate cortices in gamma band was furth confirmed by Pearson correlation analysis and linear regression. ConclusionsThere is a causal relationship between the involvement of agranulo-dysgranular insulo-cingulate cortices and the generation of CDG sign, and thus the CDG sign could be view as semiological marker of activation of emotional insulo-cingulate cortex in focal epilepsy.
Objective To analyse the correlation between cervical sagittal parameters of cervical spondylotic myelopathy in different sagittal curvature so as to find out representative cervical sagittal alignment parameters by measuring on MRI. Methods A retrospective analysis was made on the clinical data of 88 patients with cervical spondylotic myelopathy between July 2015 and January 2016. The C2-C7 Cobb angle, T1 slope (T1S), and C2-C7 sagittal vertical axis (C2-C7 SVA) were measured on T2-weight MRI. According to C2-C7 Cobb angle, the patients were divided into lordosis group (≥10° Cobb angle, 48 cases) and straightened group (0-10° Cobb angle, 40 cases). Intraclass correlation coefficient (ICC) was used for the reliability of measured data, Pearson correlation analysis for correlation between cervical sagittal parameters. Results ICC was 0.858-0.946, indicating good consistency of measurement parameters. The C2-C7 Cobb angle, T1S, and C2-C7 SVA were (5.6±2.4)°, (22.2±6.7)°, and (10.2±5.4) mm in straightened group, and were (20.1±8.2)°, (23.4±8.9)°, and (8.2±4.6) mm in lordosis group respectively. There was no correlation between the 3 parameters in straighten group (r=0.100,P=0.510 for T1S and C2-C7 Cobb angle;r=–0.100,P=0.500 for T1S and C2-C7 SVA;r=0.080,P=0.610 for C2-C7 Cobb angle and C2-C7 SVA). There was positive correlation between T1S and C2-C7 Cobb angle (r=0.540,P=0.000), negative correlation between T1S and C2-C7 SVA (r=–0.450,P=0.001), and no correlation between C2-C7 Cobb angle and C2-C7 SVA (r=–0.003,P=0.980). Conclusion For cervical spondylotic myelopathy in patients with cervical lordosis, only T1S measurement on MRI can be used as the main parameter to judge the sagittal curvature, but in patients with straightened cervical Cobb angle, measurements of T1S, C2-C7 Cobb angle, and C2-C7 SVA should be taken for the comprehensive evaluation of cervical sagittal curvature.
Impedance cardiography (ICG) is essential in evaluating cardiac function in patients with cardiovascular diseases. Aiming at the problem that the measurement of ICG signal is easily disturbed by motion artifacts, this paper introduces a de-noising method based on two-step spectral ensemble empirical mode decomposition (EEMD) and canonical correlation analysis (CCA). Firstly, the first spectral EEMD-CCA was performed between ICG and motion signals, and electrocardiogram (ECG) and motion signals, respectively. The component with the strongest correlation coefficient was set to zero to suppress the main motion artifacts. Secondly, the obtained ECG and ICG signals were subjected to a second spectral EEMD-CCA for further denoising. Lastly, the ICG signal is reconstructed using these share components. The experiment was tested on 30 subjects, and the results showed that the quality of the ICG signal is greatly improved after using the proposed denoising method, which could support the subsequent diagnosis and analysis of cardiovascular diseases.
We proposed a multi-resolution-wavelet-transform based method to extract brainstem auditory evoked potential (BAEP) from the background noise and then to identify its characteristics correctly. Firstly we discussed the mother wavelet and wavelet transform algorithm and proved that bi-orthogonal wavelet bior5.5 and stationary discrete wavelet transform (SWT) were more suitable for BAEP signals. The correlation analysis of D6 scale wavelet coefficients between single trails and the ensemble average of all trails showed that the trails with good correlation (> 0.4) had higher signal-to-noise ratio, so that we could get a clear BAEP from a few trails by an average and wavelet filter method. Finally, we used this method to select desirable trails, extracted BAEP from every 10 trails and calculated theⅠ-Ⅴinter-waves' latency. The results showed that this strategy of trail selection was efficient. This method can not only achieve better de-noising effect, but also greatly reduce the stimulation time needed as well.
Mental rotation cognitive tasks based on motor imagery (MI) have excellent predictability for individual’s motor imagery ability. In order to explore the relationship between motor imagery and behavioral data, in this study, we asked 10 right-handed male subjects to participate in the experiments of mental rotation tasks based on corresponding body parts pictures, and we therefore obtained the behavioral effects according to their reaction time (RT) and accuracy (ACC). Later on, we performed Pearson correlation analysis between the behavioral data and the scores of the Movement Imagery Questionnaire-Revised(MIQ-R). For each subject, the results showed significant angular and body location effect in the process of mental rotation. For all subjects, the results showed that there were correlations between the behavioral data and the scores of MIQ-R. Subjects who needed the longer reaction time represented lower motor imagery abilities in the same test, and vice versa. This research laid the foundation for the further study on brain electrophysiology in the process of mental rotation based on MI.
ObjectiveTo explore the effect of percutaneous kyphoplasty (PKP) on lumbar-pelvic correlation in osteoporotic vertebral compressive fracture (OVCF).MethodsAccording to the inclusion criteria, 63 patients with primary osteoporosis between January 2012 and June 2017 were selected as the control group and 67 patients with single-segment lumbar OVCF receiving PKP and complete clinical data were included as the observation group. There was no significant difference in gender, age, and lumbar spine bone density between the two groups (P>0.05). The visual analogue scale (VAS) score and Oswestry Disability Index (ODI) score were used to assess lumbar pain and function before operation and at 3 days after operation in the observation group; lumbar lordosis (LL), pelvic incidence (PI), pelvic tilt (PT), and sacral slope (SS) were measured in lumbar lateral X-ray films which were taken before PKP and at 1 month after PKP. The same parameters were measured in the lumbar lateral X-ray films which were taken at the time of initial diagnosis in the control group.ResultsAll patients were followed up 3-24 months with an average of 5.8 months in the observation group. The VAS score decreased from 5.6±1.8 before PKP to 2.8±1.3 at 3 days after PKP (t=14.082, P=0.000); ODI decreased from 50.1%±5.0% before PKP to 18.2%±1.8% (t=47.011, P=0.000). Compared with the control group, the LL, PI, and SS decreased and the PT increased in the observation group, and only the difference in LL between the two groups was significant (P<0.05). In the observation group, the LL and SS significantly increased (P<0.05) and PT significantly decreased (P<0.05) at 1 month after operation when compared with preoperative ones, and PI decreased, but the difference was not significant (P>0.05). In the control group, LL was positively correlated with PI and SS (P<0.05); PI was positively correlated with PT and SS (P<0.05). In the observation group, PI was positively correlated with SS (P<0.05) before and after PKP.ConclusionOVCF patients lost the specific lumbar-pelvic correlation. PKP can restore lumbar lordosis, but it still can not restore the normal physiological fitting.
摘要:目的: 研究尿微量白蛋白与冠心病的相关性。 方法 : 按冠状动脉造影诊断标准将116例患者分为冠心病组(82人) 与非冠心病组(34人),测定晨尿白蛋白/ 肌酐浓度值(ACR),比较两组患者尿ACR 并分析ACR与冠脉病变程度的相关性。 结果 : 冠心病组ACR显著高于非冠心病组的; ACR与冠脉计分呈显著的直线正相关。 结论 :冠心病患者ACR水平升高,微量白蛋白尿与冠状动脉病变范围和程度密切相关, 且对冠状动脉狭窄程度具有独立预测价值。Abstract: Objective: To investigate the relationship between microalbuminuria and coronary artery disease(CAD). Methods : According to the diagnostic standard of coronary artery angiography,116 patients were divided into CAD group (82 patients) and nonCAD group (34 patients). The albumin and creatinine concentrationratio ratio(ACR) in morning urine samples from patients of both groups was estimated and compared. The correlation of ACR to the extent of coronary lesions was analyzed. Results : ACR in the CAD group was significantly higher than that in nonCAD group. A distinctly linear positive correlation existed between ACR and the score of the coronary lesions. Conclusion : ACR increase in patients with CHD.Micoalbuminuria was associated with the severity of coronary lesions in patients with CHD and is an independent predictor of CAD.