Study on the distribution of common syndromes of sepsis based on latent structure combined with system clustering analysis
10.3969/j.issn.1008-9691.2023.05.005
- VernacularTitle:基于隐结构结合系统聚类的脓毒症常见证候分布研究
- Author:
Yuhao GUO
1
;
Liu CHUN
;
Jiajia WANG
;
Siyuan LEI
;
Jiansheng LI
Author Information
1. 河南中医药大学,呼吸疾病中医药防治省部共建协同创新中心,河南省中医药防治呼吸病重点实验室,河南郑州 450046
- Keywords:
Sepsis;
Latent structure analysis;
Factor analysis;
Syndrome;
Symptom
- From:
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care
2023;30(5):529-535
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the distribution of common syndromes in sepsis based on literature data mining.Methods The literature related to sepsis symptoms analysis included in China National Knowledge Infrastructure(CNKI),Chinese Biomedical Literature Database(CBM),VIP database(VIP)and Wanfang Data were searched by computer to extract relevant information and establish a database.Analysis of common syndromes and symptoms of sepsis by frequency statistics.Based on LTM-EAST algorithm of two-step hidden tree analysis,a symptom hidden structure model with frequency≥10 was constructed by Latern 5.0 software,and potential syndromes were inferred through comprehensive clustering.Symptoms with frequency＞5%were selected for factor analysis,common factors were extracted for further systematic cluster analysis,and potential syndromes were inferred according to the results.Based on the above results,the common syndromes and clinical characteristics of sepsis were analyzed.Results A total of 792 literatures and 961 syndromes records and 877 symptoms records were included,involving 48 syndromes after the regulation,with high frequency of pattern of blood stasis,pattern of yangming fu-organ excess,pattern of internal block of the heart orifices due to phlegm and heat,pattern of yang prostration,etc.The frequencies were 12.70%(122/961),9.68%(93/961),9.47%(91/961)and 7.80%(75/961).It involved 179 symptoms after the regulation,including high fever,red tongue,thirst,dysphoria,etc.The frequencies were 27.82%(244/877),27.36%(240/877),27.25%(239/877),25.54%(244/877).Forty-three hidden variables were obtained through implicit structure analysis,according to professional knowledge,12 potential syndromes were obtained by comprehensive clustering,including pattern of blood stasis,pattern of yangming fu-organ excess,pattern of phlegm and heat congesting in the lung,pattern of fire toxin entering the nutrient phase,pattern of Yin deficiency with exuberant heat,pattern of Yang prostration,pattern of Qi deficiency,pattern of Yang deficiency,pattern of turbid phlegm obstructing the lung,pattern of damp-heat encumbering the spleen,pattern of intense exuberant heat toxin,pattern of pathogenic factors repressing defensive Qi of lung.Twenty-five common factors were obtained by factor analysis,and 12 potential syndromes were inferred by systematic clustering,including pattern of heart-Yang deficiency,pattern of phlegm and heat congesting in the lung,pattern of yangming fu-organ excess,pattern of Yang prostration,pattern of intense exuberant heat toxin,pattern of Yang deficiency in spleen and kidney,pattern of Qi deficiency,pattern of phlegm and heat damaging Yin,pattern of Qi deficiency with blood stasis,pattern of Qi and Yin deficiency,pattern of pathogenic factors repressing defensive Qi of lung,and pattern of heat sinking into the pericardium.According to the standard of common traditional Chinese medicine(TCM)syndromes and their symptom characteristics,9 common syndromes of sepsis were finally obtained,including pattern of intense exuberant heat toxin,blood stasis,pattern of yangming fu-organ excess,pattern of phlegm and heat congesting in the lung,pattern of fire toxin entering,pattern of pathogenic factors repressing defensive Qi of lung,pattern of Qi and Yin deficiency,pattern of Qi deficiency,pattern of Yang prostration.Conclusion The symptoms and characteristics of common syndromes of sepsis are significant,which can provide evidence for the syndrome diagnosis standard of sepsis.
