Humans ; Stroke, Lacunar ; Mendelian Randomization Analysis ; Leukocytes ; Telomere/genetics* ; Genome-Wide Association Study ; Polymorphism, Single Nucleotide

OBJECTIVE: To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients. METHODS: By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup. RESULTS: Seven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens. CONCLUSIONS There were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.
Humans ; Syndrome ; Ischemic Stroke ; Medicine, Chinese Traditional ; Liver ; Phenotype

Since the emergence of the term "materia medica", scholars have proposed different opinions on its concept. This term has been used to refer to traditional Chinese medicines, or medical books, or traditional pharmacology. Due to the differences in the concept of materia medica, scholars also have controversies about the concept of herbalism. Herbalism is usually understood as traditional Chinese pharmacology. After years of evolution, the term "herbalism" has now possessed the characteristics of an independent discipline, which can be defined as an applied basic discipline that comprehensively utilizes traditional and modern technological methods to study the formation, development, and changes of traditional pharmacology and reveal the basic theories and application laws of traditional medicine. At present, the research content of herbalism mainly includes three aspects: materia medica history, materia medica literature, and traditional pharmacology. This study explores the disciplinary concepts and main research content of herbalism based on a systematic review of the literature about the concepts of materia medica and herbalism, with the aim of attracting more attention to promote the establishment and development of the discipline of herbalism.
China ; Drugs, Chinese Herbal ; Herbal Medicine ; Materia Medica ; Medicine, Chinese Traditional ; Technology

Vascular endothelial cells and oxidation reduction system play an important role in the pathogenesis of atherosclerosis (AS). If these conditions are disordered, it will inevitably lead to plaque formation and even rupture. Astragaloside IV (AsIV) and salvianolic acid B (Sal B) are the main active ingredients of Astragalus membranaceus and Salvia miltiorrhiza, respectively, and found to ameliorate vascular endothelial dysfunction and protect against oxidative stress in recent studies. However, it is still unknown if the combination of AsIV and Sal B (AsIV + Sal B) can inhibit the development of plaque through amplifying the protective effect of vascular endothelial cells and anti-oxidative stress effect. To clarify the role of AsIV + Sal B in AS, we observed the efficacy of each group (Control, Model, AsIV, Sal B, and AsIV + Sal B) by biomolecular assays, such as observing the pathological morphology of the aorta by oil red O staining, evaluating the level of oxidative stress and endothelial cells in the serum by the Elisa test, and analyzing the changes of all small molecule metabolites in liver tissue by UPLC-QTOF-MS. Results showed that AsIV, Sal B and AsIV + Sal B decreased the deposition of lipid in the arterial wall, so as to exert the effect of anti-oxidant stress and vascular endothelial protection, where the inhibitory effect of AsIV + Sal B was the most obvious. Metabonomics analysis showed that Sal B regulated the metabolic pathways of arginine and proline. AsIV regulated glycerol metabolism and saturated fatty acid biosynthesis metabolism. AsIV + Sal B is mainly related to the regulation of the citrate cycle (TCA cycle), alanine, aspartic acid, and glutamate metabolism, cysteine, and methionine metabolism. Succinic acid and methionine are synergistic metabolites that exert an enhancing effect when AsIV and Sal B were used in combination. In conclusion, we demonstrated that AsIV acompanied with Sal B can be successfully used for anti-oxidative stress and vascular endothelial protection of AS, and succinic acid and methionine are the synergistic metabolites.
Antioxidants ; Atherosclerosis ; Benzofurans ; Endothelial Cells ; Humans ; Methionine ; Saponins ; Succinic Acid ; Triterpenes

To solve the problem of real-time detection and removal of EEG signal noise in anesthesia depth monitoring, we proposed an adaptive EEG signal noise detection and removal method. This method uses discrete wavelet transform to extract the low-frequency energy and high-frequency energy of a segment of EEG signals, and sets two sets of thresholds for the low-frequency band and high-frequency band of the EEG signal. These two sets of thresholds can be updated adaptively according to the energy situation of the most recent EEG signal. Finally, we judge the level of signal interference according to the range of low-frequency energy and high-frequency energy, and perform corresponding denoising processing. The results show that the method can more accurately detect and remove the noise interference in the EEG signal, and improve the stability of the calculated characteristic parameters.
Algorithms ; Electroencephalography ; Signal Processing, Computer-Assisted ; Signal-To-Noise Ratio ; Wavelet Analysis

OBJECTIVE: To obtain the subtypes of the clinical hypertension population based on symptoms and to explore the relationship between hypertension and comorbidities. METHODS: The data set was collected from the Chinese medicine (CM) electronic medical records of 33,458 hypertension inpatients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between July 2014 and May 2017. Then, a hypertension disease comorbidity network (HDCN) was built to investigate the complicated associations between hypertension and their comorbidities. Moreover, a hypertension patient similarity network (HPSN) was constructed with patients' shared symptoms, and 7 main hypertension patient subgroups were identified from HPSN with a community detection method to exhibit the characteristics of clinical phenotypes and molecular mechanisms. In addition, the significant symptoms, diseases, CM syndromes and pathways of each main patient subgroup were obtained by enrichment analysis. RESULTS: The significant symptoms and diseases of these patient subgroups were associated with different damaged target organs of hypertension. Additionally, the specific phenotypic features (symptoms, diseases, and CM syndromes) were consistent with specific molecular features (pathways) in the same patient subgroup. CONCLUSION The utility and comprehensiveness of disease classification based on community detection of patient networks using shared CM symptom phenotypes showed the importance of hypertension patient subgroups.

Objective:To explore the characteristics of unmet needs and services of rehabilitation for people with hearing disability (PHD). Methods:A total of 219 473 PHDs administration data of unmet needs and services of rehabilitation at provincial level were sampled (2019) and analyzed the characteristics of needs and services of rehabilitation with multiple response analysis, and the related factors of needs and services with Logistic regression. Results:There were 47 657 (21.7%) PHDs reported their unmet needs of rehabilitation, from high to low were assistive devices (65.5%), medicine (22.7%), nursing care (19.1%), functional training (16.2%) and surgery (2.2%). There were 34 684 (18.8%) PHDs reported their received services, from high to low were assistive devices (59.8%), medicine (22.5%), functional training (19.7%), nursing care (19.4%) and surgery (1.8%). The logistic regression model showed that age, types of household registration and severities of disabilities related with the reported unmet needs and received services (P < 0.001). Conclusion:PHDs mainly reported unmet needs in the fields of assistive devices, medicine, and rehabilitation training. The reported unmet needs for PHDs had matched the received services structurally. It proposed to use modern science and technology to develop services delivery and to improve accessibility and quality of rehabilitation services.

Objective:To analyze the characteristics of unmet needs and services of rehabilitation for people with intellectual disability (PIDs). Methods:A total of 250 654 PIDs had been sampled and administration data of unmet needs and services of rehabilitation at provincial level had been analyzed the characteristics of unmet needs and services of rehabilitation, and the related factors of needs and services were analyzed with Logistic Regression. Results:The rate of unmet needs reported by PIDs from high to low were nursing (47.8%), medicine (37.2%), functional training (26.1%), assistive devices (19.8%) and surgery (1.3%). The PIDs reported received service of rehabilitation, including nursing care (43.5%), medicine (29.3%), functional training (27.2%), assistive devices (19.6%) and surgery (0.8%). Logistic Regression Model showed that age and severity of disabilities significantly affect the reported the unmet needs and received services (P < 0.001). Conclusion:PIDs reported unmet needs mainly involved in the fields of nursing care, medicine and rehabilitation training and therapy. The unmet needs and received services had similar structure. It proposed to develop rehabilitation services tailored to PIDs' intellectual function and adaptive behaviors to develop services items and to deliver individualized and precise services.

Objective:To explore the characteristics and related factors of unmet needs of nursing care and service for adults with extremely severe and severe intellectual disabilities. Methods:A total of 127 547 adults with extremely severe and severe intellectual disabilities were sampled. Descriptive statistics and multiple response analysis were conducted, and a structural equation model of unmet needs of nursing care and received the services was developed. Results:A total of 26 038 adults with extremely severe and severe intellectual disabilities reported unmet needs of rehabilitation, including nursing care (52.50%), medicine (36.90%), assistive device (20.90%), functional training (19.70%) and surgery (0.80%) respectively. A total of 11 640 adults with extremely severe and severe intellectual disabilities reported received rehabilitation services, including nursing care (49.90%), medicine (36.80%), functional training (19.10%), assistive device (14.10%) and surgery (1.00%) respectively. The structural equation model showed that received nursing care service (main effect = 0.646) and received rehabilitation services (included nursing care) (main effect = 0.014), age (main effect = 0.031), household registration (main effect = 0.015) and educational level (main effect = -0.158) had effects on unmet needs of nursing care (P < 0.001). Conclusion:Adults with extremely severe and severe intellectual disabilities reported unmet needs mainly involved in field of nursing care, and their rehabilitation services mapped to their main needs. It proposed to develop rehabilitation services tailored to their rehabilitation experience, age, socioeconomic status, functional conditions and characteristic of unmet needs, to develop accessible services items and individualized nursing care programs, and to expand the nursing care service supply and coverage of nursing care.

BACKGROUNDMetabolic syndrome (MS) is a risk factor for stroke and thromboembolism event. Left atrial or LA appendage (LA/LAA) thrombus is a surrogate of potential stroke. The relationship between MS and atrial thrombus remains unclear. In this study, we sought to investigate the effect of MS on risk stratification of LA/LAA thrombus formation in patients with nonvalvular atrial fibrillation (NVAF).

METHODSThis cross-sectional study enrolled 294 consecutive NVAF patients without prior anticoagulant and lipid-lowering therapies. LA/LAA thrombus was determined by transesophageal echocardiography. Risk assessment of LA/LAA thrombus was performed using the CHADS2 , CHA2DS2 -VASc, MS, CHADS2 -MS, and CHA2DS2 -VASc-MS scores. Logistic regression analyses were performed to determine which factors were significantly related to LA/LAA thrombus. Odds ratio (OR) including 95% confidence interval was also calculated. The predictive powers of different scores for the risk of LA/LAA thrombus were represented by C-statistics and compared by receiver operating characteristic (ROC) analysis.

RESULTSLA/LAA thrombi were identified in 56 patients (19.0%). Logistic analysis showed that MS was the strongest risk factor for LA/LAA thrombus in NVAF patients (OR = 14.698, P < 0.001). ROC curve analyses revealed that the C-statistics of CHADS2 -MS and CHA2DS2 -VASc-MS was significantly higher than those of CHADS2 and CHA2DS2 -VASc scores (CHADS2 -MS vs. CHADS2 , 0.807 vs. 0.726, P = 0.0019). Furthermore, MS was helpful for identifying individuals with a high risk of LA/LAA thrombus in the population with a low risk of stroke (CHADS2 or CHA2DS2 -VASc score = 0).

CONCLUSIONSMS is associated with LA/LAA thrombus risk in patients with NVAF. In addition to the CHADS2 and CHA2DS2 -VASc scores, the CHADS2 -MS and CHA2DS2 -VASc-MS scores provide additional information on stroke risk assessment.

Aged ; Atrial Appendage ; pathology ; Atrial Fibrillation ; complications ; physiopathology ; Cross-Sectional Studies ; Female ; Humans ; Male ; Metabolic Syndrome ; complications ; physiopathology ; Middle Aged ; Multivariate Analysis ; ROC Curve ; Risk Factors ; Thrombosis ; etiology ; physiopathology