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...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, M29and 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.展开更多
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 med...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.展开更多
基金Supported by the National Key Research and Development Program (No.2017YFC1703502 and 2017YFC1703506)。
文摘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, M29and 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.
基金Supported by the National Key Research and Development Project of China (No. 2017YFC1703502 and No. 2017YFC1703506)。
文摘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.
