[Objectives] To investigate the effects of TCM nursing based on syndrome differentiation on pulmonary function and quality of life in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD)....[Objectives] To investigate the effects of TCM nursing based on syndrome differentiation on pulmonary function and quality of life in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). [Methods] A total of 92 patients with AECOPD who came to Nanchong Chinese Medicine Hospital from March 2022 to February 2023 were selected for the study, and the intervention group (TCM nursing based on syndrome differentiation, 46 cases) and the conventional group (basic nursing, 46 cases) were selected for the study, and the pulmonary function and quality of life of the two groups were compared. [Results] Before nursing, there was no significant difference in levels of forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and percentage of forced expiratory volume in one second to forced vital capacity (FEV1/FVC) between the intervention group and conventional group ( P >0.05). After 3 months of nursing, the levels of FVC, FEV1 and FEV1/FVC in the intervention group were higher than those in the conventional group ( P <0.05). Before nursing, there was no significant difference in the scores of health, emotion and social functions between the two groups ( P >0.05). At three months of nursing, the scores of health, emotion, and social functions in the intervention group were higher than those in the conventional group ( P <0.05). [Conclusions] The implementation of TCM nursing based on syndrome differentiation in patients with AECOPD can effectively improve the pulmonary function and quality of life of patients, and has significant clinical implementation value.展开更多
Objective: To evaluate the clinical effect and quality of life (QOL) in coronary artery bypass grafting (CABG) patients treated according to syndrome differentiation of TCM. Methods: Eighty-two CABG patients were allo...Objective: To evaluate the clinical effect and quality of life (QOL) in coronary artery bypass grafting (CABG) patients treated according to syndrome differentiation of TCM. Methods: Eighty-two CABG patients were allocated in the control group (n = 39) treated with conventional method of western medicine, and the TCM-treated group (n展开更多
Syndrome differentiation is the characteristic and soul of Traditional Chinese Medicine (TCM), which has certain advantages in the treatment of hyperthyroidism. TCM mainly divides its syndrome differentiation into fou...Syndrome differentiation is the characteristic and soul of Traditional Chinese Medicine (TCM), which has certain advantages in the treatment of hyperthyroidism. TCM mainly divides its syndrome differentiation into four types: exuberant liver fire type, yin deficiency and fire exuberant type, qi-yin deficiency type and phlegm stagnation type. This paper summarizes the treatment of hyperthyroidism by TCM syndrome differentiation, in order to provide some reference for the treatment of this disease.展开更多
Objective: Hyperlipidemia is a representative nutritional metabolic disease in clinic, which is easy to induce atherosclerotic cardiovascular and cerebrovascular diseases, with complex classification. Traditional Chin...Objective: Hyperlipidemia is a representative nutritional metabolic disease in clinic, which is easy to induce atherosclerotic cardiovascular and cerebrovascular diseases, with complex classification. Traditional Chinese Medicine (TCM) syndrome aims to reflect the characteristics of diseases and is the basic principle of TCM treatment of diseases. This study aimed to summarize the distribution pattern of TCM syndromes in patients with hyperlipidemia. Methods: The frequency, characteristics and distribution of all TCM syndromes of 1012 patients with hyperlipidemia were analyzed. Results: The main disease types determined by frequency of 1012 patients included hypertriglyceridemia combined with hypo high-density lipoprotein cholesterolemia (19.76%), hypo high-density lipoprotein cholesterolemia (18.58%), hypercholesterolemia (16.50%), mixed hyperlipidemia (16.40%), and hypertriglyceridemia (15.12%). The distribution of TCM syndromes, in order of frequency, was as follows: Qi-deficiency and blood stasis syndrome (23.52%), liver depression and spleen deficiency (9.88%), syndrome of qi stagnation and blood stasis (9.29%), phlegm stasis syndrome (7.41%), and syndrome of yang deficiency of spleen and kidney (6.92%). Conclusion: Qi-deficiency and blood stasis syndrome and liver depression and spleen deficiency are the most common TCM syndromes in patients with hyperlipidemia.展开更多
Objective Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods The first step was to build a text mining and analysis envir...Objective Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods The first step was to build a text mining and analysis environment based on Python language, and built a corpus based on the core chapters of SESD. The second step was to digitalize the corpus. The main steps included word segmentation, information cleaning and merging, document-entry matrix, dictionary compilation and information conversion. The third step was to mine and display the internal information of SESD corpus by means of word cloud, keyword extraction and visualization. Results NLP played a positive role in computer recognition and comprehension of SESD. Different chapters had different keywords and weights. Deficiency syndrome elements were an important component of SESD, such as "Qi deficiency""Yang deficiency" and "Yin deficiency". The important syndrome elements of substantiality included "Blood stasis""Qi stagnation", etc. Core syndrome elements were closely related. Conclusions Syndrome differentiation and treatment was the core of SESD. Using NLP to excavate syndromes differentiation could help reveal the internal relationship between syndromes differentiation and provide basis for artificial intelligence to learn syndromes differentiation.展开更多
Since the beginning of the Western Learning, modern medicine has developed rapidly in China, and the integration of Chinese and western medicine has become inevitable. Since Zhang Xichun's "Medicine in the We...Since the beginning of the Western Learning, modern medicine has developed rapidly in China, and the integration of Chinese and western medicine has become inevitable. Since Zhang Xichun's "Medicine in the West", using traditional Chinese medicine theory to guide the practice of western medicine, through long-term clinical diagnosis, we gradually realized the advantages of applying western medicine according to TCM syndrome differentiation. Therefore, 278 patients from the Second People's Hospital of Gansu Province from July 2015 to December 2017 were enrolled in the relevant departments of the Department of Internal Medicine. On the basis of routine treatment, TCM was obtained through inspection, inquiry, listening and smelling, palpation and pulse-taking. The syndrome type is based on the medicinal properties, menstruation and ef?cacy of more than ten kinds of western medicines, so that they can reach Chinese medicine[1]. Therefore, this paper aims to improve the accuracy of western medicine use, reduce the incidence of adverse reactions, discover the new ef?cacy of western medicine,and promote the integration of Chinese and western medicine.展开更多
Syndrome differentiation-based treatment is one of the key characteristics of Traditional Chinese Medicine(TCM).The process of syndrome differentiation is difficult and challenging due to its complexity,diversity and ...Syndrome differentiation-based treatment is one of the key characteristics of Traditional Chinese Medicine(TCM).The process of syndrome differentiation is difficult and challenging due to its complexity,diversity and vagueness.Analyzing syndrome principles from historical records of TCM using data mining(DM)technology has been of high interest in recent years.Nevertheless,in most relevant studies,existing DM algorithms have been simply developed for TCM mining,while the combination of TCM theories or its characteristics with DM algorithms has rarely been reported.This paper presents a novel Symptom-Syndrome Topic Model(SSTM),which is a supervised probabilistic topic model with three-tier Bayesian structure.In the SSTM,syndromes are considered as observed topic labels to distinguish certain symptoms from possible symptoms according to their different positions.The generation of our model is in full compliance with the syndrome differentiation theory of TCM.Experimental results show that the SSTM is more effective than other models for syndrome differentiating.展开更多
基金Supported by Special Research Project of Science and Technology Bureau of Nanchong City,Sichuan Province"Effects of TCM Nursing Based on Syndrome Differentiation on Pulmonary Function and Quality of Life in Patients with Acute Exacerbation of COPD"(22YYJCYJ0057)Science and Technology Program of Sichuan Province"Effects of TCM Nursing Based on Syndrome Differentiation on Pulmonary Function and Quality of Life in Patients with Acute Exacerbation of COPD"(2021YFS0270).
文摘[Objectives] To investigate the effects of TCM nursing based on syndrome differentiation on pulmonary function and quality of life in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). [Methods] A total of 92 patients with AECOPD who came to Nanchong Chinese Medicine Hospital from March 2022 to February 2023 were selected for the study, and the intervention group (TCM nursing based on syndrome differentiation, 46 cases) and the conventional group (basic nursing, 46 cases) were selected for the study, and the pulmonary function and quality of life of the two groups were compared. [Results] Before nursing, there was no significant difference in levels of forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and percentage of forced expiratory volume in one second to forced vital capacity (FEV1/FVC) between the intervention group and conventional group ( P >0.05). After 3 months of nursing, the levels of FVC, FEV1 and FEV1/FVC in the intervention group were higher than those in the conventional group ( P <0.05). Before nursing, there was no significant difference in the scores of health, emotion and social functions between the two groups ( P >0.05). At three months of nursing, the scores of health, emotion, and social functions in the intervention group were higher than those in the conventional group ( P <0.05). [Conclusions] The implementation of TCM nursing based on syndrome differentiation in patients with AECOPD can effectively improve the pulmonary function and quality of life of patients, and has significant clinical implementation value.
文摘Objective: To evaluate the clinical effect and quality of life (QOL) in coronary artery bypass grafting (CABG) patients treated according to syndrome differentiation of TCM. Methods: Eighty-two CABG patients were allocated in the control group (n = 39) treated with conventional method of western medicine, and the TCM-treated group (n
文摘Syndrome differentiation is the characteristic and soul of Traditional Chinese Medicine (TCM), which has certain advantages in the treatment of hyperthyroidism. TCM mainly divides its syndrome differentiation into four types: exuberant liver fire type, yin deficiency and fire exuberant type, qi-yin deficiency type and phlegm stagnation type. This paper summarizes the treatment of hyperthyroidism by TCM syndrome differentiation, in order to provide some reference for the treatment of this disease.
文摘Objective: Hyperlipidemia is a representative nutritional metabolic disease in clinic, which is easy to induce atherosclerotic cardiovascular and cerebrovascular diseases, with complex classification. Traditional Chinese Medicine (TCM) syndrome aims to reflect the characteristics of diseases and is the basic principle of TCM treatment of diseases. This study aimed to summarize the distribution pattern of TCM syndromes in patients with hyperlipidemia. Methods: The frequency, characteristics and distribution of all TCM syndromes of 1012 patients with hyperlipidemia were analyzed. Results: The main disease types determined by frequency of 1012 patients included hypertriglyceridemia combined with hypo high-density lipoprotein cholesterolemia (19.76%), hypo high-density lipoprotein cholesterolemia (18.58%), hypercholesterolemia (16.50%), mixed hyperlipidemia (16.40%), and hypertriglyceridemia (15.12%). The distribution of TCM syndromes, in order of frequency, was as follows: Qi-deficiency and blood stasis syndrome (23.52%), liver depression and spleen deficiency (9.88%), syndrome of qi stagnation and blood stasis (9.29%), phlegm stasis syndrome (7.41%), and syndrome of yang deficiency of spleen and kidney (6.92%). Conclusion: Qi-deficiency and blood stasis syndrome and liver depression and spleen deficiency are the most common TCM syndromes in patients with hyperlipidemia.
基金the funding support from the National Natural Science Foundation of China (No. 81874429)Digital and Applied Research Platform for Diagnosis of Traditional Chinese Medicine (No. 49021003005)+1 种基金2018 Hunan Provincial Postgraduate Research Innovation Project (No. CX2018B465)Excellent Youth Project of Hunan Education Department in 2018 (No. 18B241)
文摘Objective Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods The first step was to build a text mining and analysis environment based on Python language, and built a corpus based on the core chapters of SESD. The second step was to digitalize the corpus. The main steps included word segmentation, information cleaning and merging, document-entry matrix, dictionary compilation and information conversion. The third step was to mine and display the internal information of SESD corpus by means of word cloud, keyword extraction and visualization. Results NLP played a positive role in computer recognition and comprehension of SESD. Different chapters had different keywords and weights. Deficiency syndrome elements were an important component of SESD, such as "Qi deficiency""Yang deficiency" and "Yin deficiency". The important syndrome elements of substantiality included "Blood stasis""Qi stagnation", etc. Core syndrome elements were closely related. Conclusions Syndrome differentiation and treatment was the core of SESD. Using NLP to excavate syndromes differentiation could help reveal the internal relationship between syndromes differentiation and provide basis for artificial intelligence to learn syndromes differentiation.
基金financially supported by Scientific Research Project of Gansu Provincial Administration of Traditional Chinese Medicine(GZK-2016-84)
文摘Since the beginning of the Western Learning, modern medicine has developed rapidly in China, and the integration of Chinese and western medicine has become inevitable. Since Zhang Xichun's "Medicine in the West", using traditional Chinese medicine theory to guide the practice of western medicine, through long-term clinical diagnosis, we gradually realized the advantages of applying western medicine according to TCM syndrome differentiation. Therefore, 278 patients from the Second People's Hospital of Gansu Province from July 2015 to December 2017 were enrolled in the relevant departments of the Department of Internal Medicine. On the basis of routine treatment, TCM was obtained through inspection, inquiry, listening and smelling, palpation and pulse-taking. The syndrome type is based on the medicinal properties, menstruation and ef?cacy of more than ten kinds of western medicines, so that they can reach Chinese medicine[1]. Therefore, this paper aims to improve the accuracy of western medicine use, reduce the incidence of adverse reactions, discover the new ef?cacy of western medicine,and promote the integration of Chinese and western medicine.
文摘Syndrome differentiation-based treatment is one of the key characteristics of Traditional Chinese Medicine(TCM).The process of syndrome differentiation is difficult and challenging due to its complexity,diversity and vagueness.Analyzing syndrome principles from historical records of TCM using data mining(DM)technology has been of high interest in recent years.Nevertheless,in most relevant studies,existing DM algorithms have been simply developed for TCM mining,while the combination of TCM theories or its characteristics with DM algorithms has rarely been reported.This paper presents a novel Symptom-Syndrome Topic Model(SSTM),which is a supervised probabilistic topic model with three-tier Bayesian structure.In the SSTM,syndromes are considered as observed topic labels to distinguish certain symptoms from possible symptoms according to their different positions.The generation of our model is in full compliance with the syndrome differentiation theory of TCM.Experimental results show that the SSTM is more effective than other models for syndrome differentiating.