| Objective:Taking chronic fatigue syndrome as the characteristic representative population of the "not diseased" state,and using methods such as latent structure model to carry out a demonstration study on the health status identification of traditional Chinese medicine with "qi and blood" as the core.Furthermore,state identification and classification techniques suitable for group service are analyzed and summarized.Based on the "Shenling" medicinal and food homologous products,evaluate the effect of self-regulating methods such as "Nourishing Qi and Blood" functional foods on chronic fatigue syndrome,and explore the establishment of a group of TCM with syndromes as the core Service model.Methods:The general information and four-diagnosis information of 700 patients with chronic fatigue syndrome who were treated in the Affiliated Hospital of Changchun University of Chinese Medicine were included.Epidata 3.1 was used to establish the database.The latent structure model was constructed using Lantern 5.0 software for data analysis.In a prospective cohort study design,the "Shenling" drug and food homologous intervention scheme was identified as the initial exposure factor.They were divided into non exposure group,exposure group 1(Yiyuan)and exposure group 2(Zisheng).And there are 200 patients.If the disease progression of fatigue occurred during follow-up(determined by FS-14 score),the endpoint event was considered to have occurred.The main outcome indicators included fatigue scale(FS-14)and TCM clinical syndrome score.Safety evaluation included temperature,heart rate and respiration.Results:1.Descriptive statistical analysis of four diagnosis information in CFS population: The main symptoms with high frequency were amnesia(78.71%),drowsiness of limbs(68.00%),perspiration during movement(66.86%),fatigue and languor(63.71%),and chills of limbs(60.14%).2.Based on 700 cases of patients with TCM four diagnostic information,the latent structure model is established to get 31 hidden variables and 72 class.After comprehensive clustering,Z1 model and Z2 model were formed.Combined with the theory of “qi and blood”,the identification and classification technology of TCM health status of chronic fatigue syndrome population was formed,which mainly consisted of cold state of Qi deficiency and heat state of Qi stagnation.3.The "Shenling" cohort study: In this study,200 patients were followed up,and 185 patients were finally completed,including 38 in the non-exposed group,79 in the exposed group 1 and68 in the exposed group 2.4.The occurrence of end-point events: The exposure group 1(Yiyuan)was 1.27%,the exposure group 2(Zisheng)was 5.88%,and the non-exposed group was 13.16%.5.Efficacy analysis: According to FS-14 score,at the 4th week of follow-up,the physical fatigue level of the exposed group 1 was significantly improved compared with that of the non-exposed group.According to the TCM syndrome score: after treatment,compared with the non-exposed group at the same period,the symptoms of dizziness,mental fatigue,and diarrhea after catching cold in the exposed group 1 were significantly improved,while the symptoms of dizziness,mental fatigue,and body drowsiness in the exposed group 2 were significantly improved.The differences were statistically significant(p<0.05).6.Chi-square test: According to FS-14 and TCM syndrome scores,there were statistically significant differences in clinical effective rates among the three groups(p<0.05).7.Safety evaluation: no abnormal and adverse reactions were observed.Conclusion:1.CFS has formed the identification classification of TCM health state,which is mainly the cold state of Qi deficiency and the heat state of Qi stagnation.2."Shenling" medicine and food homologous series of products can reduce the progression of fatigue disease and reduce the occurrence of endpoint events.The intervention effect of "nourishing qi and blood" functional food combined with exercise intervention and other healthy lifestyle guidance on chronic fatigue syndrome was better than that of single exercise intervention and other healthy lifestyle guidance programs. |