Chinese Medicine Syndrome Differentiation Research Articles

Research Progress of Chinese and Western Medicine in Non-obese Polycystic Ovary Syndrome

In recent years, the number of patients with non-obese polycystic disease has gradually increased. Its clinical manifestations are different from those of obese polycystic disease, and the treatment should also be different from those of obese polycystic disease. This paper summarizes the endocrine and metabolic characteristics and TCM syndromes of non-obese PCOS patients in order to provide ideas for the systematic treatment of non-obese PCOS based on syndrome differentiation of traditional Chinese and Western medicine in the future.

Research Progress of TCM Treatment of Postoperative Constipation in Anorectal Diseases

Postoperative constipation for anorectal diseases is mainly manifested as dry stool due to pain and fear of defecation, slow bowel movement or improper diet, difficulty in defecation or even several days without defecation after anorectal diseases. It is a common disease after anorectal diseases, which not only affects postoperative wound healing, but also often causes psychological and mental diseases and acute cardiovasoular and cerebrovascular diseases. In severe cases, the postoperative recovery of patients is greatly affected. At present, through the treatment of Traditional Chinese Medicine (TCM) syndrome differentiation,TCM external treatment and other methods, has achieved good ourative effect. In this paper, the recent progress in the treatment of constipation after anorectal diseases by traditional Chinese medicine was summarized.

HHO optimized support vector machine classifier for traditional Chinese medicine syndrome differentiation of diabetic retinopathy.

To develop a classifier for traditional Chinese medicine (TCM) syndrome differentiation of diabetic retinopathy (DR), using optimized machine learning algorithms, which can provide the basis for TCM objective and intelligent syndrome differentiation. Collated data on real-world DR cases were collected. A variety of machine learning methods were used to construct TCM syndrome classification model, and the best performance was selected as the basic model. Genetic Algorithm (GA) was used for feature selection to obtain the optimal feature combination. Harris Hawk Optimization (HHO) was used for parameter optimization, and a classification model based on feature selection and parameter optimization was constructed. The performance of the model was compared with other optimization algorithms. The models were evaluated with accuracy, precision, recall, and F1 score as indicators. Data on 970 cases that met screening requirements were collected. Support Vector Machine (SVM) was the best basic classification model. The accuracy rate of the model was 82.05%, the precision rate was 82.34%, the recall rate was 81.81%, and the F1 value was 81.76%. After GA screening, the optimal feature combination contained 37 feature values, which was consistent with TCM clinical practice. The model based on optimal combination and SVM (GA_SVM) had an accuracy improvement of 1.92% compared to the basic classifier. SVM model based on HHO and GA optimization (HHO_GA_SVM) had the best performance and convergence speed compared with other optimization algorithms. Compared with the basic classification model, the accuracy was improved by 3.51%. HHO and GA optimization can improve the model performance of SVM in TCM syndrome differentiation of DR. It provides a new method and research idea for TCM intelligent assisted syndrome differentiation.

Construction and Application of a Traditional Chinese Medicine Syndrome Differentiation Model for Dysmenorrhea Based on Machine Learning.

Dysmenorrhea is one of the most common ailments affecting young and middle-aged women, significantly impacting their quality of life. Traditional Chinese Medicine (TCM) offers unique advantages in treating dysmenorrhea. However, an accurate diagnosis is essential to ensure correct treatment. This research integrates the age-old wisdom of TCM with modern Machine Learning (ML) techniques to enhance the precision and efficiency of dysmenorrhea syndrome differentiation, a pivotal process in TCM diagnostics and treatment planning. A total of 853 effective cases of dysmenorrhea were retrieved from the CNKI database, including patients' syndrome types, symptoms, and features, to establish the TCM information database of dysmenorrhea. Subsequently, 42 critical features were isolated from a potential set of 86 using a selection procedure augmented by Python's Scikit-Learn Library. Various machine learning models were employed, including Logistic Regression, Random Forest Classifier, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Artificial Neural Networks (ANN), each chosen for their potential to unearth complex patterns within the data. Based on accuracy, precision, recall, and F1-score metrics, SVM emerged as the most effective model, showcasing an impressive precision of 98.29% and an accuracy of 98.24%. This model's analytical prowess not only highlighted the critical features pivotal to the syndrome differentiation process but also stands to significantly aid clinicians in formulating personalized treatment strategies by pinpointing nuanced symptoms with high precision. The study paves the way for a synergistic approach in TCM diagnostics, merging ancient wisdom with computational acuity, potentially innovating the diagnosis and treatment mode of TCM. Despite the promising outcomes, further research is needed to validate these models in real-world settings and extend this approach to other diseases addressed by TCM.

Differential clinical characteristics across traditional Chinese medicine (TCM) Syndromes in patients with sickle cell disease.

Pain is a common, debilitating, and poorly understood complication of sickle cell disease (SCD). The need for clinical pain management of SCD is largely unmet and relies on opioids as the main therapeutic option, which leads to a decreased quality of life (QoL). According to the literature, acupuncture has shown certain therapeutic effects for pain management in SCD. However, these clinical studies lack the guidance of Traditional Chinese Medicine (TCM) Syndrome Differentiation principles for treatment. To characterize differences in clinical presentation amongst TCM diagnosed Syndromes in SCD patients. Fifty-two patients with SCD and 28 age- and sex-matched healthy controls (HCs) were enrolled in an ongoing trial of acupuncture. Each participant completed a series of questionnaires on pain, physical function, fatigue, sleep, anxiety, depression and QoL and underwent cold- and pressure-based quantitative sensory testing at baseline. Data on prescription opioid use over the 12 months prior to study enrollment was used to calculate mean daily morphine milligram equivalents (MME). Differences among the three TCM Syndromes were analyzed by one-way ANOVA followed by Tukey post hoc testing. Two-sample t-tests were used to compare SCD and HC groups. TCM diagnosis criteria classified SCD patients into one of three TCM Syndromes: (a) Equal; (b) Deficiency; and (c) Stagnation. The Stagnation group exhibited higher pain interference, physical dysfunction, nociplastic pain, fatigue, anxiety, depression, MME consumption and lower sleep quality and QoL compared to the Equal group. Few differences were observed between HCs and the Equal SCD group across outcomes. Deficiency and Stagnation groups were differentiated with observed- and patient-reported clinical manifestations. These findings suggest that TCM diagnosed Syndromes in SCD can be differentially characterized using validated objective and patient-reported outcomes. Because characteristics of pain and co-morbidities in each SCD patient are unique, targeting specific TCM "Syndromes" may facilitate treatment effectiveness with a Syndrome-based personalized treatment plan that conforms to TCM principles. These findings lay the foundation for the development of tailored acupuncture interventions based on TCM Syndromes for managing pain in SCD. Larger samples are required to further refine and validate TCM diagnostic criteria for SCD.

TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease

The Traditional Chinese Medicine (TCM) has demonstrated its significant medical value over the decades, particularly during the COVID-19 pandemic. TCM-AI interdisciplinary models have been proposed to model TCM knowledge, diagnosis, and treatment experiments in clinical practice. Among them, numerous models have been developed to simulate the syndrome differentiation process of human TCM doctors for automatic syndrome diagnosis. However, these models are designed for normal scenarios and trained using a supervised learning paradigm which needs tens of thousands of training samples. They fail to effectively differentiate syndromes in rare disease scenarios where the available TCM electronic medical records (EMRs) are very limited for each unique syndrome. To address the challenge of rare diseases, this study proposes a simple yet effective method called Transfer Learning based Dual-Augmentation (TLDA). TLDA aims to augment the limited EMRs at both the sample-level and feature-level, enriching the pathological and medical information during training. Extended experiments involving 11 comparison models, including the state-of-the-art model, demonstrate the effectiveness of TLDA. TLDA outperforms all comparison models by a significant margin. Furthermore, TLDA can also be extended to other medical tasks when the EMRs for diagnosis are limited in samples.

A serum metabolomics study of vascular cognitive impairment patients based on Traditional Chinese medicine syndrome differentiation.

Objective: Vascular cognitive impairment (VCI) accounts for approximately 50%-70% of all dementia cases and poses a significant burden on existing medical systems. Identifying an optimal strategy for preventing VCI and developing efficient symptomatic treatments remains a significant challenge. Syndrome differentiation represents a fundamental approach for personalized diagnosis and treatment in Traditional Chinese Medicine (TCM) and aligns with the principles of precision medicine. The objective of this study was to elucidate the metabolic characteristics of VCI based on TCM syndrome differentiation, thus providing novel insights into the diagnosis and treatment of VCI. Methods: A 2-year cross-sectional cognitive survey was conducted in four communities in Beijing between September 2020 and November 2022. The syndrome differentiation of participants was based on the Kidney-Yang Deficiency Syndrome Scale (KYDSS), which was originally developed by Delphi expert consultation. The identification of serum metabolites was performed by Ultra performance liquid chromatography (UPLC) analysis coupled with an electrospray ionization quadruple time-of-flight mass spectrometer (ESI-QTOF MS). Multivariate, univariate, and pathway analyses were used to investigate metabolic changes. Logistic regression models were also used to construct metabolite panels that were capable of discerning distinct groups. Phospholipase A2 (PLA2) levels were measured by a commercial ELISA kit. Results: A total of 2,337 residents completed the survey, and the prevalence of VCI was 9.84%. Of the patients with VCI, those with Kidney-Yang deficiency syndrome (VCIS) accounted for 70.87% of cases and exhibited more severe cognitive impairments. A total of 80 participants were included in metabolomics study, including 30 with VCIS, 20 without Kidney-Yang deficiency syndrome (VCINS), and 30 healthy control participants (C). Ultimately, 45 differential metabolites were identified when comparing the VCIS group with group C, 65 differential metabolites between the VCINS group and group C, and 27 differential metabolites between the VCIS group and the VCINS group. The downregulation of phosphatidylethanolamine (PE), and phosphatidylcholine (PC) along with the upregulation of lysophosphatidylethanolamine (LPE), lysophosphatidylcholine (LPC), phosphatidic acid (PA) and phospholipase A2 (PLA2) can be considered as the general metabolic characteristics associated with VCI. Dysfunction of glycerophospholipids, particularly LPEs and PCs, was identified as a key metabolic characteristic of VCIS. In particular Glycerophospho-N-Arachidonoyl Ethanolamine (GP-NArE) was discovered for the first time in VCI patients and is considered to represent a potential biomarker for VCIS. The upregulation of PLA2 expression was implicated in the induction of alterations in glycerophospholipid metabolism in both VCIS and VCINS. Moreover, robust diagnostic models were established based on these metabolites, achieving high AUC values of 0.9322, 0.9550, and 0.9450, respectively. Conclusion: These findings contribute valuable information relating to the intricate relationship between metabolic disorders in VCI, neurodegeneration and vascular/neuroinflammation. Our findings also provide a TCM perspective for the precise diagnosis and treatment of VCI in the context of precision medicine.

Proteomics Analysis of Serum Reveals Potential Biomarkers for Heart Failure Patients with Phlegm-Blood Stasis Syndrome.

Heart failure (HF), a complex clinical syndrome, has become a global burden on health and economics around the world. Phlegm-blood stasis syndrome, one of the Traditional Chinese Medicine (TCM) syndrome differentiation, is the core pathogenesis dynamically throughout the occurrence, development, and prognosis of HF. Biomarkers having high sensitivity and specificity are highly demanded to facilitate the accurate differentiation of HF patients with phlegm-blood stasis syndrome. In the present study, serum samples were collected from 20 healthy controls and 40 HF patients (20 with and 20 without phlegm-blood stasis syndrome). We implemented data-independent acquisition mass spectrometry (DIA-MS) for discovery and parallel reaction monitoring (PRM) for validation of biomarkers for heart failure with phlegm-blood stasis syndrome. A total of 84 different proteins were found in the HF with phlegm-blood stasis syndrome (HF-TY) group compared with healthy controls. 37 candidate proteins were selected for the PRM assay, and five validated proteins with high sensitivity and specificity, including insulin-like growth factor-binding protein 4 (IGFBP4), β-2-microglobulin (B2M), dystroglycan (DAG1), immunoglobulin J chain (JCHAIN), and kallikrein B1 (KLKB1), were considered potential biomarkers for heart failure patients with phlegm-blood stasis syndrome. Newly identified biomarkers might provide insights into the diagnosis and treatment of HF with TCM syndrome differentiation.

Clinical symptoms and distribution characteristics traditional Chinese medicine syndromes of pulmonary nodules

A cross-sectional study method combined with two types of traditional Chinese medicine(TCM) syndrome differentiation methods was adopted to investigate the clinical symptoms and distribution characteristics of TCM syndromes in patients with pulmonary nodules from the perspectives of number, size, nature, and stability of pulmonary nodules by using the χ~2 test, systematic clustering and Apriori algorithm correlation analysis. The common clinical symptoms of pulmonary nodules were fatigue(77.35%) and irritability(75.40%), and 40 symptoms were clustered into 3 groups(digestive system symptoms, respiratory system symptoms, and emotional and systemic symptoms) and 8 major symptom categories. The proportion of cold and heat in complexity syndrome(63.43%) was higher based on cold-heat syndrome differentiation. The top two syndromes were Qi deficiency syndrome(88.03%) and Qi depression syndrome(83.17%) based on disease syndrome differentiation. Yang deficiency syndrome(60.52%) was more than Yin deficiency syndrome(50.16%). There were higher proportions of phlegm syndrome(78.67%) and Yang deficiency syndrome(69.33%) of so-litary pulmonary nodules in terms of the number of pulmonary nodules. In terms of size, the proportion of phlegm syndrome decreased as the mean diameter of pulmonary nodules increased, while the proportions of Yang deficiency syndrome and blood stasis syndrome increased. The distribution of Qi depression syndrome was more in those with mean diameter<10 mm(85.02%, P=0.044) and cold syndrome was more in those with mean diameter ≥10 mm(16.67%, P=0.024). In terms of the nature of pulmonary nodules, the proportions of Qi depression syndrome and heat syndrome decreased with the increase in solid components of pulmonary nodules, while the proportions of Yin deficiency syndrome and cold and heat in complexity syndrome increased. The blood stasis syndrome accounted for a higher proportion of pulmonary nodules with solid components. In terms of the stability of pulmonary nodules, dampness syndrome(72.97%), blood stasis syndrome(37.84%), and cold and heat in complexity syndrome(70.27%) accounted for higher proportions. In addition, patients with new nodules presented higher proportions in Qi inversion syndrome(52.00%, P=0.007) and cold and heat in complexity syndrome(66.00%, P=0.008). Meanwhile, 11 syndromes were associated and 4 common compound syndromes were obtained(Qi deficiency and depression syndrome, Qi depression and phlegm coagulation syndrome, Qi deficiency and phlegm coagulation syndrome, and Qi deficiency and dampness obstruction syndrome). Qi deficiency syndrome and Qi depression syndrome could be associated with other syndromes. The results show that the main clinical symptoms of pulmonary nodules are fatigue and irritability. The main TCM syndromes of pulmonary nodules are Qi deficiency syndrome, Qi depression syndrome, Yang deficiency syndrome, and cold and heat in complexity syndrome. The distribution of TCM syndromes is significantly correlated with the size of pulmonary nodules and the presence or absence of new nodules. The common compound syndromes are Qi deficiency and depression syndrome, Qi depression and phlegm coagulation syndrome, Qi deficiency and phlegm coagulation syndrome, and Qi deficiency and dampness obstruction syndrome.

Zuogui Pills and Yougui Pills in differential treatment of diminished ovarian reserve based on metabolomics

Based on the metabolomics, this paper systematically analyzed the metabolic substance basis of Zuogui Pills and Yougui Pills in syndrome differentiation and treatment of diminished ovarian reserve(DOR), so as to provide a scientific basis for the traditional Chinese medicine(TCM) syndrome differentiation and treatment of DOR. Patients with DOR of kidney-Yin deficiency syndrome were collected from outpatient department of hospitals and treated with Zuogui Pills for 12 weeks. And kidney-Yang deficiency syndrome were treated with Yougui Pills for 12 weeks. Based on the non-targeted metabolomic research techniques, the potential biomarkers of Zuogui Pills and Yougui Pills in the treatment of DOR with kidney-Yin deficiency and kidney-Yang deficiency, respectively, were screened out, and metabolic pathways of biomarkers were analyzed. The pregnancy rate, basic serum hormone levels [basal follicle-stimulating hormone(bFSH), basal-luteinizing hormone(bLH), basal-estradiol(bE_2), and anti-Müllerian hormone(AMH)], TCM syndrome type score, and Kupperman score were recorded and statistically analyzed after treatment. The results showed that 23 patients with DOR of kidney-Yin deficiency syndrome and 25 patients of kidney-Yang deficiency syndrome were collected. Twenty-six differential metabolites, including L-carnitine, acetyl-CoA, coenzyme A, and coenzyme Q_(10)(CoQ10), were mapped to 12 metabolic pathways in patients with kidney-Yin deficiency treated with Zuogui Pills. Twenty-two differential metabolites, such as adipoyl-CoA, L-lysine, lysine arginine, and α-tocopherol, were mapped to 11 metabolic pathways in patients with kidney-Yang deficiency. After treatment, bFSH and bLH of patients with DOR were significantly lower than those before treatment(P<0.05). Although the comparison of bE_2 and AMH had no significant differences, there was a improvement trend. The TCM syndrome type score and Kupperman score of patients with DOR after TCM treatment were significantly lower than those before treatment(P<0.05).

Acupoint Needle-Embedding Combined with Ironing Therapy for Postoperative Pain After Anal Surgery

Acupoint needle-embedding combined with ironing therapy is a non-drug treatment method to release postoperative pain after anal surgery. The practice is guided by traditional Chinese medicine (TCM) syndrome differentiation theory and employs acupoint stimulation and heat to alleviate pain. Although prior research has shown that these are dependable methods for pain relief, the combined effect of the two techniques has not been described. In our research, we found that compared to using diclofenac sodium enteric-coated capsules alone, adding acupoint needle-embedding combined with ironing therapy was more effective for reducing pain levels at different stages after hemorrhoid surgery. Although this technique is efficient and commonly used in clinics, due to its invasive practice, acupoint needle embedding still carries risks relating to hospital-acquired infections and broken needles. Ironing therapy, on the other hand, can result in burns and connective tissue injuries. Therefore, there is an urgent need to develop a standardized protocol for medical staff. Our protocol refines the traditional techniques and provides detailed instructions on patient preparation, operation techniques, and postoperative care to ensure the therapy is carried out safely and efficiently. By standardizing this therapy, this technique is expected to become an important complementary therapy for postoperative pain relief in hemorrhoids, which will significantly improve patients 'life quality after anal surgery.

A Traditional Chinese Medicine Characteristic Therapy for Bronchial Asthma: Moxibustion.

Bronchial asthma is a chronic inflammatory disease of the airway which can lead to symptoms such as recurrent wheezing, shortness of breath, chest tightness, or cough, as a result of increased airway reactivity. With high diurnal variation, these symptoms often occur or worsen at night or in the morning. By burning and roasting the Chinese medica above human acupoints, moxibustion is a type of treatment that stimulates the activity of the human meridians through drugs and heat stimulation to prevent and treat diseases. According to the principle of syndrome differentiation and treatment of traditional Chinese medicine, acupoints are selected on the corresponding parts, which has a definite effect. It is regarded as a characteristic traditional Chinese medicine therapy for bronchial asthma. This protocol elaborates the methods and steps of patient management, material preparation, selection of acupoints, operation, and postoperative nursing to ensure safe and effective moxibustion treatment to significantly improve the clinical symptoms and quality of life of patients with bronchial asthma.

Clinical Analysis of the Association Between Chinese Medicine Syndromes and Risk Factors for Hypertension

Background and objectivesThe application of Chinese medicine in clinic is based on the classical theory of traditional Chinese medicine (TCM) syndrome differentiation, which remains not fully understood. This study aims to explore and interpret the associations between TCM syndromes and multiple clinical risk factors of hypertension.

A Delphi Study of Expert Consensus on Chinese Medicine Syndrome Differentiation and Herbal Use for Early Breast Cancer.

Chinese herbal medicine (CHM) is widely used in breast cancer, but there is no consensus on the Chinese medicine (CM) syndromes in the different conventional treatment stages (preoperative, postoperative, chemotherapy, radiation therapy and endocrine therapy) of early breast cancer. This Delphi study aimed to achieve expert consensus on the CM syndromes, signs and symptoms, and the Chinese herbal formulae for early breast cancer. Thirty senior CM clinicians with expertise in managing breast cancer were enrolled. The syndromes selected by ≥50% of experts and the corresponding most common Chinese herbal formulae were considered a consensus. Consensus on signs and symptoms was defined as a median score ≥4 (the item was important or very important) and ≥70% of experts rating the sign or symptom as 4 (important) or 5 (very important) on a 5-point Likert scale. Three survey rounds were conducted from 15 October 2021 to 10 March 2022. Consensus was reached with 3 syndromes confirmed for each treatment stage. Several syndromes, such as dual deficiency of qi and Blood, were considered common to multiple treatment stages. Some important signs and symptoms were presented in multiple treatment stages (eg, shortage of qi in the radiation therapy and endocrine therapy stages). This Delphi study achieved consensus on the most common CM syndromes, corresponding signs and symptoms, and the most common formulae in each treatment stage of early breast cancer, providing an evidence-based approach for future clinical practice.

Retracted: SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine.

[This retracts the article DOI: 10.1155/2022/6938506.].

Professor Liqin's TCM Experience in Treating Angina Pectoris of Coronary Heart Disease from Deficiency, Depression and Blood Stasis

angina pectoris of coronary heart disease is a common clinical disease with high paroxysm and mortality, which is a serious threat to human life and property safety. This disease belongs to the category of chest arthralgia in traditional Chinese medicine. A famous professor of traditional Chinese medicine in Shaanxi Province believes that the pathogenesis of the disease is based on deficiency and excess, based on deficiency of heart and spleen, qi depression, blood stasis and blocking heart pulse. The pathological process can be summarized as deficiency, depression and blood stasis. The treatment should be based on the principle of tonifying the heart and spleen, soothing the liver and relieving depression, promoting blood circulation and removing blood stasis, and patency of veins, so as to achieve the purpose of invigorating Sanjiao, harmony of qi and blood, and patency of veins. Professor Liqin provides experience and ideas for the treatment of this disease with the thinking of syndrome differentiation and treatment of traditional Chinese medicine and the addition and subtraction of the main prescription of traditional Chinese medicine, combined with the diagnosis and treatment of modern medicine. One attached medical case was corroborated.

Observation on the Effectiveness and Prognosis of Traditional Chinese Medicine Syndrome Differentiation Treatment for Bi Syndrome

Observation on the Effectiveness and Prognosis of Traditional Chinese Medicine Syndrome Differentiation Treatment for Bi Syndrome

Chinese herbal compound prescriptions combined with Chinese medicine powder based on traditional Chinese medicine syndrome differentiation for treatment of chronic atrophic gastritis with erosion: a multi-center, randomized, positive-controlled clinical trial

BackgroundIn this study, Chinese herbal compound prescriptions combined with Chinese medicine powder were evaluated for the treatment of chronic atrophic gastritis with erosion.MethodsThis multi-center, randomized, positive drug control clinical trial randomly assigned 216 patients with chronic atrophic gastritis with erosion to three groups: (1) control group: aluminum plus magnesium suspension thrice per day for 4 weeks; (2) test group 1: Chinese herbal compound prescriptions twice a day plus Sanqi (Panax notoginseng) powder twice a day for 4 weeks; (3) test group 2: Chinese herbal compound prescriptions twice a day plus Sanqi (Panax notoginseng) powder and Zhebeimu (Fritillaria thunbergii Miq.) powder twice a day for 4 weeks. The primary endpoint (improvement of gastric mucosal erosion; improvement of gastric mucosal pathology) and secondary endpoints (improvement of clinical symptoms scores; improvement of the patient-reported outcome [PRO] instrument for chronic gastrointestinal diseases) were assessed using endoscopy at week 4 following the treatment. Drug-related adverse events (AEs) and adverse drug reactions (ADRs) were also compared.ResultsThe final analysis included 202 patients (control group, 63; test group 1, 69; test group 2, 70). At week 4, using within-group comparison, gastric mucosal erosion improved in each group following treatment with a significant difference (P < 0.05); there were no statistically significant differences in gastric mucosal erosion scores among the groups after treatment (P > 0.05); in terms of improvement of gastric mucosal erosion, the efficacy rate of the control group was 69.12%, the efficacy rate of the test group 1 was 73.24%, and the efficacy rate of the test group 2 was 69.01% and efficacy rate among the groups was not statistically significant (P > 0.05). As determined by acute inflammation, chronic inflammation, atrophy, intestinal metaplasia, and dysplasia, the pathological score (total score and the highest score) did not differ statistically among groups following treatment (P > 0.05); within the control group, the total scores of acute inflammation, chronic inflammation, atrophy, and intestinal metaplasia were significantly decreased (P < 0.05), but there was no significant improvement in dysplasia (P > 0.05); in the test group 1, chronic inflammation, atrophy, and intestinal metaplasia and dysplasia scores were significantly decreased (P < 0.05), but acute inflammation did not improve (P > 0.05); there was a significant reduction in the atrophy score in test group 2 (P < 0.05), but no improvement in the scores of acute inflammation, chronic inflammation, intestinal metaplasia, and dysplasia was observed (P > 0.05). Similarly, within the control group, the highest scores of acute inflammation, chronic inflammation, atrophy, and intestinal metaplasia were significantly decreased (P < 0.05), but there was no significant improvement in dysplasia (P > 0.05); there was a significant reduction in highest scores of atrophy, intestinal metaplasia, and dysplasia (P < 0.05) in test group 1, but the highest scores didn’t not improve with acute inflammation and chronic inflammation (P > 0.05); there was a significant reduction in the highest atrophy score in test group 2 (P < 0.05), but no improvement in the highest scores of acute inflammation, chronic inflammation, intestinal metaplasia, and dysplasia was observed (P > 0.05). Compared to the control group, the main symptom scores and total symptom scores in the test groups were lower following treatment, with a statistically significant difference (P < 0.05); the analysis of covariance with center, erosion type, and group as factors was applied, and the comparison among the groups in dyspepsia, defecation, and total PRO instrument scores were statistically significant (P < 0.05). In the study period, AEs were reported in 3 (4.23%) patients in the test group 1 and 3 (4.41%) patients in the control group; ADRs were confirmed in 3 (4.23%) patients from the test group 1 and 2 (2.94%) from the control group. AEs and ADRs were not statistically significantly different among groups (AE, P = 0.2213; ADR, P = 0.2872). No serious AE or ADR was reported.ConclusionsThis study has shown that both aluminum plus magnesium suspension and Chinese herbal compound prescriptions together with Panax notoginseng powder are capable of improving gastric mucosal erosion and reducing gastric mucosal pathological scores, and there were no statistically significant differences among the groups in primary endpoints, indicating that Chinese herbal therapy can achieve similar efficacy than antacids in terms of primary outcomes. The aluminum plus magnesium suspension is comparable to Chinese herbal therapy in improving atrophy and intestinal metaplasia, and is inferior to Chinese herbal therapy in improving dysplasia. In addition, the Chinese herbal therapy significantly outperforms the aluminum plus magnesium suspension in improving symptoms. Therefore, the overall clinical outcome of Chinese herbal compound prescriptions together with Panax notoginseng powder based on TCM syndrome patterns in the treatment of erosive gastritis is superior to that of antacids.Trial registration ChiCTR, ChiCTR-IPR-15005905. Registered 22 January 2015, https://www.chictr.org.cn/showproj.aspx?proj=10359

The effectiveness and safety of Chinese Patent Medicines based on syndrome differentiation in patients following percutaneous coronary intervention due to acute coronary syndrome (CPM trial): A nationwide Cohort Study

BackgroundThe incidence of cardiovascular events remains not unusual in patients following percutaneous coronary intervention (PCI) due to acute coronary syndrome (ACS). Chinese patent medicine (CPM) therapy based on syndrome differentiation in addition to conventional medicine (CM) had been expected to further reduce the risk of cardiovascular events. PurposeTo assess the effectiveness and safety of CPM based on syndrome differentiation in patients following PCI due to ACS. Study designNationwide prospective cohort study. MethodsCPM study was conducted in 40 centers in mainland China. Patients following PCI due to ACS entered to syndrome differentiation-based CPM (SDCPM) or CM group according to whether they received CPM or not. The CPM comprised Guanxin Danshen dripping pills, Qishen Yiqi dripping pills, or Danlou tablets, and was used correspondingly with the syndrome differentiation of traditional Chinese medicine. The follow-up time was 36 months. The primary endpoint was composed of cardiac death, non-fatal myocardial infarction and urgent revascularization. The secondary endpoint included rehospitalization due to ACS, heart failure, stroke, other thrombotic events. Seattle Angina Questionnaire (SAQ) was used to evaluate quality of life. ResultsBetween February 2012 and December 2018, ascertainment of the primary endpoint was completed in 2,724 patients of follow-up. 1,380 patients were in SDCPM group. At a median follow-up of 541 (interquartile range 513 – 564) days, the primary endpoint occurred in 126 (8.61%) patients in SDCPM group and 167 (11.62%) patients in CM group (adjusted hazard ratio [HR] = 0.70; [95% confidence interval [CI] 0.55 – 0.89]; p = 0.003). The secondary endpoint occurred in 144 (9.84%) patients in SDCPM group and 197 (13.71%) patients in CM group (adjusted HR = 0.66; [95% CI 0.53 – 0.82]; p < 0.001). The SAQ score in SDCPM group was higher than CM group (366.78 ± 70.19 vs 356.43 ± 73.80, p < 0.001). There were no significant differences of adverse events between two groups. ConclusionIn patients following PCI due to ACS, SDCPM in addition to CM treatment reduced the primary and secondary endpoints, as well as improved the quality of life without adverse events.

Machine Learning-Based Technique for the Severity Classification of Sublingual Varices according to Traditional Chinese Medicine.

Tongue diagnosis, a noninvasive examination, is an essential step for syndrome differentiation and treatment in traditional Chinese medicine (TCM). Sublingual vein (SV) is examined to determine the presence of blood stasis and blood stasis syndrome. Many studies have shown that the degree of SV stasis positively correlates with disease severity. However, the diagnoses of SV examination are often subjective because they are influenced by factors such as physicians' experience and color perception, resulting in different interpretations. Therefore, objective and scientific diagnostic approaches are required to determine the severity of sublingual varices. This study aims at developing a computer-assisted system based on machine learning (ML) techniques for diagnosing the severity of sublingual varicose veins. We conducted a comparative study of the performance of several supervised ML models, including the support vendor machine, K-neighbor, decision tree, linear regression, and Ridge classifier and their variants. The main task was to differentiate sublingual varices into mild and severe by using images of patients' SVs. To improve diagnostic accuracy and to accelerate the training process, we proposed using two model reduction techniques, namely, the principal component analysis in conjunction with the slice inverse regression and the convolution neural network (CNN), to extract valuable features during the preprocessing of data. Our results showed that these two extraction methods can reduce the training time for the ML methods, and the Ridge-CNN method can achieve an accuracy rate as high as 87.5%, which is similar to that of experienced TCM physicians. This computer-aided tool can be used for reference clinical diagnosis. Furthermore, it can be employed by junior physicians to learn and to use in clinical settings.