Application of Ziyin Huoxue Decoction in Treating Yin Deficiency and Blood Stasis in Convalescent Period of Ischemic Stroke

2021 ◽  
Keyword(s):  
Ischemic Stroke ◽  
Blood Stasis ◽  
Yin Deficiency

scholarly journals Relationships between Pathological Patterns and Quality of Life: Pathway Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Shin-Woong Cho ◽  
Young-Jae Park ◽  
Sang-Chul Lee ◽  
Jaemin Ryu ◽  
Young-Bae Park ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Pathway Analysis ◽  
Early Stage ◽  
General Health Questionnaire ◽  
Blood Stasis ◽  
Health Questionnaire ◽  
Pathway Model ◽  
Middle Stage ◽  
Yin Deficiency

Purpose.The purpose of our study was to examine the relationships between pathological patterns and self-rated quality of life (QoL).Methods.A total of 426 Korean subjects participated in this study (male : female = 154 : 272). The subjects were asked to complete Yin Deficiency (YD), Qi Deficiency (QD), Food Stagnation (FS), Blood Stasis (BS), Phlegm, and Seven Emotions Impairment (SEI) pattern Questionnaires and the General Health Questionnaire (GHQ). We formed a pathway model consisting of pathological patterns and QoL questionnaire scores and examined which pathological patterns resulted in decreased QoL using path analysis.Results.Our pathway model had satisfactory fitness levels (GFI = 0.975, NFI = 0.984, and CFI = 0.984) and showed that Phlegm and SEI patterns directly resulted in decreased QoL, whereas QD, YD, FD, and BS indirectly resulted in decreased QoL. The pathway model suggested that the severity or stage of decreased QoL may be estimated by pathological patterns: QD and YD patterns are associated with the early stage; FS and BS patterns are associated with the middle stage; Phlegm and SEI are associated with the later stage of decreased QoL.Conclusion.Our results suggest that pathological patterns directly or indirectly affect decreases in QoL.

The therapeutic effect and mechanism of Qishen Yiqi dripping pills on cardiovascular and cerebrovascular diseases and diabetic complications

2021 ◽  
Vol 14 ◽  
Author(s):  
Chunlai Zhao ◽  
Wenjia Wang ◽  
Kaijing Yan ◽  
He Sun ◽  
Jihong Han ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Diabetic Nephropathy ◽  
Heart Disease ◽  
Ischemic Stroke ◽  
Diabetic Complications ◽  
Blood Stasis ◽  
Blood Stasis Syndrome ◽  
Syndrome Differentiation ◽  
Therapeutic Effects ◽  
The Common

: The alterations in vascular homeostasis is deeply involved in the development of numerous diseases, such as coronary heart disease, stroke, and diabetic complications. Changes in blood flow and endothelial permeability caused by vascular dysfunction are the common mechanisms for these three types of diseases. The disorders of glucose and lipid metabolism can result in changes of the energy production patterns in endothelium and surrounding cells which may consequently cause local energy metabolic disorders, oxidative stress and inflammatory responses. Traditional Chinese medicine (TCM) follows the principle of the “treatment by the syndrome differentiation”. TCM considers of that coronary heart disease, stroke and diabetes complications all as the type of “Qi deficiency and Blood stasis” syndrome, which mainly happens to the vascular system. Therefore, the common pathogenesis of these three types of diseases suggests the treatment strategy by TCM should be in a close manner and named as “treating different diseases by the same treatment”. Qishen Yiqi dripping pills is a modern Chinese herbal medicine which has been widely used for treatment of patients with coronary heart disease characterized as “Qi deficiency and blood stasis” in China. Recently, many clinical reports have demonstrated the potent therapeutic effects of Qishen Yiqi dripping pills on ischemic stroke and diabetic nephropathy. Based on these reports, we will summarize the clinical applications of Qishen Yiqi dripping pills on coronary heart disease, ischemic stroke and diabetic nephropathy, including the involved mechanisms with basic researches.

scholarly journals A Perspective on Tongue Diagnosis in Patients with Breast Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Po-Chi Hsu ◽  
Han-Kuei Wu ◽  
Hen-Hong Chang ◽  
Jia-Ming Chen ◽  
John Y. Chiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Blood Stasis ◽  
Cross Sectional ◽  
Tongue Diagnosis ◽  
Yin Deficiency ◽  
Lung Area ◽  
Integrated Medical Care ◽  
Fur Color ◽  
The Many ◽  
Tongue Color

Introduction. Breast cancer (BC) is the most common cancer in women and patients with BC often undergo complex treatment. In Taiwan, nearly 80% of patients with BC seek traditional Chinese medicine (TCM) during adjuvant chemotherapy to relieve discomfort and side effects. This study investigated tongue features and pattern differentiation through noninvasive TCM tongue diagnosis in patients with BC. Materials and Methods. This cross-sectional, case-controlled, retrospective observational study collected patient data through a chart review. The tongue features were extracted using the automatic tongue diagnosis system (ATDS). Nine tongue features, including tongue shape, tongue color, fur thickness, fur color, saliva, tongue fissures, ecchymoses, teeth marks, and red dots, were analyzed. Results and Discussion. Objective image analysis techniques were used to identify significant differences in the many tongue features between BC patients and non-BC individuals. A significantly larger proportion of patients with BC had a small tongue ( p < 0.001 ), pale tongue ( p < 0.001 ), thick fur ( p < 0.001 ), yellow fur ( p < 0.001 ), wet saliva ( p < 0.001 ), thick tongue fur ( p < 0.001 ), fissures ( p = 0.040 ), and ecchymoses in the heart-lung area ( p = 0.013 ). According to logistic regression, small tongue shape, pale tongue color, yellow fur color, wet saliva, and the amounts of fissures were associated with a significantly increased odds ratio for BC. Conclusions. This study showed significant differences in tongue features, such as small tongue shape, pale tongue color, thick fur, yellow fur color, wet saliva, fissure, and ecchymoses in the heart-lung area in patients with BC. These tongue features would imply yin deficiency, deficiencies of blood, stagnation of heat, and phlegm/blood stasis in TCM theory. There is a need to investigate effective and safe treatment to enhance the role of TCM in integrated medical care for patients with BC.

scholarly journals Meta-Analysis of the Correlation between TCM Syndromes of Lung Cancer and CT through Data Mining and Computer Software

2021 ◽  
Vol 2138 (1) ◽  
pp. 012017
Author(s):  
Yifan Su ◽  
Dehui Li ◽  
Huanfang Fan
Keyword(s):  
Lung Cancer ◽  
Data Mining ◽  
Meta Analysis ◽  
Blood Stasis ◽  
Cochrane Library ◽  
Treatment Level ◽  
Yin Deficiency ◽  
Significant Difference ◽  
Qi Stagnation ◽  
Deficiency Type

Abstract To systematically evaluate the correlation between the traditional Chinese medicine (TCM) syndromes of lung cancer and the imaging manifestations of CT. Computer search of CNKI, Cochrane Library, PubMed, Springer, CBM, VIP, Wanfang database, Baidu library and other major databases. Collect the relevant literature on the TCM syndromes of lung cancer and CT imaging manifestation since the database was built until September 1, 2021. Two researchers collected literature and evaluated the quality of the literature, conducted data mining on the literature, and used the computer Revman 5.3 software to conduct a Meta-analysis of the included literature. The results showed that the phlegm dampness type lobular sign was higher than the burr sign, and there was no significant difference between vacuole sign and cavity sign; In Qi-Yin deficiency type, lobular sign was higher than burr sign, vacuole sign was higher than cavity sign; In Qi stagnation blood stasis type, lobular sign is higher than burr sign. The CT lobular sign of lung cancer are mainly phlegm dampness type, Qi-Yin deficiency type and Qi stagnation blood stasis type. Vacuole sign is mainly Qi-Yin deficiency type. Burr sign and cavity sign are less in the above three types. In this study, the combination of computer and meta-analysis technology has promoted the development of lung cancer micro-differentiation theory and assisted in improving the treatment level of lung cancer clinical syndrome differentiation.

Abstract 179: Ischemic Stroke in Atrial Fibrillation: 30-day Outcomes and Factors Associated with Severity

2015 ◽  
Vol 35 (suppl_1) ◽  
Author(s):  
Darae Ko ◽  
Jonathan Thigpen ◽  
Lori Henault ◽  
Emily Quinn ◽  
Yorghos Tripodis ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Critical Role ◽  
Blood Stasis ◽  
Functional Independence ◽  
Multivariable Logistic Regression Analysis ◽  
Stroke Severity ◽  
High Morbidity ◽  
Severe Stroke ◽  
Statin Use

Background and Hypothesis: Ischemic stroke (IS) in atrial fibrillation (AF) is associated with high mortality. Inflammation, endothelial dysfunction, and hypercoagulability, in addition to blood stasis in the left atrium, play a critical role in thrombogenesis in AF. Hyperglycemia and chronic kidney disease (CKD) are potent triggers for inflammation, oxidative stress, and thrombogenesis. Statins have been shown to possess anti-inflammatory, anti-oxidant, and anti-thrombotic properties. Accordingly, we assessed the hypothesis that statin use may modulate stroke severity in AF. Methods: Consecutive IS admissions were identified from 2006-2010. All events were subject to CT or MRI and assessed for functional independence at discharge using modified Rankin scale (mRS). AF was confirmed by ECG at presentation or within the prior 6 months in all cases. Covariates were abstracted from the medical record. To account for confounding by treatment, we used multivariable logistic regression analysis adjusted using inverse probability weighting. Results: We identified 1,030 AF-related IS; mean age was 77, 56% were female, mean CHA 2 DS 2 VASC score was 4.8 designating high baseline stroke risk. IS resulted in severe neurological deficit or death (mRS ≥ 4) for 69%; 21% died within 30-days. Severe stroke was associated with older age, diabetes, dementia, prior ischemic stroke, prior venous thromboembolism, and CKD (Table). Baseline statin use was associated with a 33% reduced risk of sustaining a severe stroke. Conclusion: Strokes in AF are associated with high morbidity and mortality. Clinical markers of thrombophilia, including prior IS, DVT, and PE, were significantly associated with severe strokes. Diabetes and CKD independently increased this risk. Statin use resulted in less severe outcomes. Advancing our basic understanding of these interrelated thrombogenic pathways will inform clinical interventions to reduce these devastating outcomes.

scholarly journals The Discriminative Efficacy of Retinal Characteristics on Two Traditional Chinese Syndromes in Association with Ischemic Stroke

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Y. Y. Zhuo ◽  
J. M. Wu ◽  
L. Kuang ◽  
Y. M. Qu ◽  
B. Zee ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Clinical Characteristics ◽  
Characteristic Curve ◽  
Blood Stasis ◽  
Retinal Vessel ◽  
Added Value ◽  
Blood Stasis Syndrome ◽  
Syndrome Differentiation ◽  
Image Analysis System ◽  
Characteristic Analysis

We aimed to investigate the efficacy of an objective method using AI-based retinal characteristic analysis to automatically differentiate between two traditional Chinese syndromes that are associated with ischemic stroke. Inpatient clinical and retinal data were retrospectively retrieved from the archive of our hospital. Patients diagnosed with cerebral infarction in the department of acupuncture and moxibustion between 2014 and 2018 were examined. Of these, the patients with Qi deficiency blood stasis syndrome (QDBS) and phlegm stasis in channels (PSIC) syndrome were selected. Those without retinal photos were excluded. To measure and analyze the patients’ retinal vessel characteristics, we applied a patented AI-assisted automated retinal image analysis system developed by the Chinese University of Hong Kong. The demographic, clinical, and retinal information was compared between the QDBS and PSIC patients. The t-test and chi-squared test were used to analyze continuous data and categorical data, respectively. All the selected clinical information and retinal vessel measures were used to develop different discriminative models for QDBS and PSIC using logistic regression. Discriminative efficacy and model performances were evaluated by plotting a receiver operating characteristic curve. As compared to QDBS, the PSIC patients had a lower incidence of insomnia problems (46% versus 29% respectively, p=0.023) and a higher tortuosity index (0.45 ± 0.07 versus 0.47 ± 0.07, p=0.027). Moreover, the area under the curve of the logistic model showed that its discriminative efficacy based on both retinal and clinical characteristics was 86.7%, which was better than the model that employed retinal or clinical characteristics individually. Thus, the discriminative model using AI-assisted retinal characteristic analysis showed statistically significantly better performance in QDBS and PSIC syndrome differentiation among stroke patients. Therefore, we concluded that retinal characteristics added value to the clinical differentiation between QDBS and PSIC.

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