Exploratory Study on Population Enrichment and Classification in Cancer-related Fatigue Patients with Qi and Blood Deficiency Syndrome through Cluster Analysis
10.19879/j.cnki.1005-5304.202311458
- VernacularTitle:癌因性疲乏气血两虚证患者聚类与富集探索性研究
- Author:
Jiyan SHI
1
,
2
;
Danhui YI
;
Yumei ZENG
;
Weijie LIANG
;
Yun XU
Author Information
1. 北京中医药大学研究生院,北京 100029
2. 中国中医科学院西苑医院,北京 100091
- Keywords:
cancer-related fatigue;
qi and blood deficiency syndrome;
clustering analysis
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2024;31(8):146-151
- CountryChina
- Language:Chinese
-
Abstract:
Objective To objectively classify cancer-related fatigue(CRF)patients with qi and blood deficiency syndrome;To explore possible enrichment characteristics;To provide ideas for precise population identification.Methods A cross-sectional study was conducted,611 CRF patients with qi and blood deficiency syndrome were included from October 2019 to April 2022.Clinical symptoms of patient were documented,including pale or withered-yellow complexion,shortness of breath with reluctance to talk,dizziness,spontaneous sweating,and palpitations.Additionally,blood routine were conducted,including white blood cell(WBC)count,red blood cell(RBC)count,hemoglobin(HGB),platelet(PLT)count,and neutrophil count(NEUT).The degree of fatigue was assessed using the Piper Fatigue Scale(PFS).Data analysis was performed using R 4.2.0.Clustering analysis was performed using the K-mediods method.Results Through unsupervised clustering analysis,the target population was divided into three categories:qi and blood deficiency syndrome leaning towards qi deficiency,qi and blood deficiency syndrome with mild symptom,qi and blood deficiency syndrome leaning towards blood deficiency.In terms of fatigue severity,the first two groups showed comparable levels,while the third group exhibited the most severe fatigue.Regarding objective indicators,the group leaning towards qi deficiency had the lowest WBC count,NEUT count and PLT count,and the group leaning towards blood deficiency had the lowest HGB count and RBC count.The group of qi and blood deficiency syndrome with mild symptom exhibited the highest level of objective indicators among the three.Conclusion By using clustering analysis methods,the study has preliminarily achieved population enrichment and classification based on syndromes,providing ideas for subsequent information enrichment and accurate identification of populations.Concurrently,the anemia index,WBC count and NEUT count demonstrate a inclination towards blood deficiency syndrome and qi deficiency syndrome,respectively.These findings indicate that these indicators could be incorporated into the syndrome diagnostic criteria for CRF to aid in the classification of the CRF population.
