Aromatic immunity in traditional Chinese medicine(TCM) is the medical knowledge accumulated in the process of people's struggling with diseases. It plays an important role in plague prevention, disease treatment, health preservation, and rehabilitation, and has profound TCM basic theoretical support and abundant modern scientific evidence. With the in-depth promotion of the Healthy China initiative and the succession of health needs in the post-COVID-19 era, how to practice the health concept of aromatic immunity in TCM and develop its health service resources with high quality has become an important proposition to be discussed urgently. This paper summarizes the cognitive process, puts forward the basic concept, discusses the scientific connotation and clinical application value, and looks forward to the future development trend of aromatic immunity in TCM, aiming to provide guidance for the development of great health products and promote the application of aromatic immunity in TCM in serving people's health.
Medicine, Chinese Traditional/methods* ; Humans ; COVID-19/immunology* ; China ; Drugs, Chinese Herbal/therapeutic use* ; SARS-CoV-2

Objective To analyze the influencing factors of death in the elderly with coronavirus disease 2019(COVID-19).Methods The case data of death caused by COVID-19 in West China Fourth Hospital from January 1 to July 8,2023 were collected,and surviving cases from the West China Elderly Health Cohort infected with COVID-19 during the same period were selected as the control.LASSO-Logistic regression was adopted to analyze the data after propensity score matching and the validity of the model was verified by drawing the receiver operating characteristic curve.Results A total of 3 239 COVID-19 survivors and 142 deaths with COVID-19 were included.The results of LASSO-Logistic regression showed that smoking(OR=3.33,95%CI=1.46-7.59,P=0.004),stroke(OR=3.55,95%CI=1.15-10.30,P=0.022),malignant tumors(OR=19.93, 95%CI=8.52-49.23, P<0.001),coronary heart disease(OR=7.68, 95%CI=3.52-17.07, P<0.001),fever(OR=0.51, 95%CI=0.26-0.96, P=0.042),difficulty breathing or asthma symptoms(OR=21.48, 95%CI=9.44-51.95, P<0.001),and vomiting(OR=8.19,95%CI=2.87-23.58, P<0.001)increased the risk of death with COVID-19.The prediction model constructed based on the influencing factors achieved an area under the curve of 0.889 in the test set.Conclusions Smoking,stroke,malignant tumors,coronary heart disease,fever,breathing difficulty or asthma symptoms,and vomiting were identified as key factors influencing the death risk in COVID-19.
Humans ; COVID-19/mortality* ; Aged ; Propensity Score ; China/epidemiology* ; Risk Factors ; Logistic Models ; Smoking ; SARS-CoV-2 ; Male ; Female ; Stroke ; Neoplasms

Objective To investigate the predictive value of cumulative body mass index (cumBMI) on new-onset cholelithiasis.Methods The retrospective cohort study was conducted.The data of 31 794 subjects who participated health examination at the Kailuan Hospital,Kailuan Linxi Hospital,Kailuan Zhaogezhuang Hospital,Kailuan Tangjiazhuang Hospital,Kailuan Fan'gezhuang Hospital,Kailuan Lyujiatuo Hospital,Kailuan Jinggezhuang Hospital,Kailuan Linnancang Hospital,Kailuan Qianjiaying Hospital,Kailuan Majiagou Hospital and Kailuan Branch Hospital in 2006,2008,2010,2012 and 2014 were collected.All the subjects were allocated into 4 groups according to squartiles of cumBMI:7 949 with cumBMI＜ 140.81 kg/m2 ×year in the Q1 group,7 946 with 140.81 kg/m2×year≤ cumBMI＜ 159.69 kg/m2 ×year in the Q2 group,7 949 with 159.69 kg/m2×year≤cumBMI＜ 180.49 kg/m2 ×year in the Q3 group and 7 950 with cumBMI ≥ 180.49 kg/m2×year in the Q4 group.All the subjects received respectively the five health examinations in 2006,2008,2010,2012 and 2014 at the same place.Epidemiological investigation,anthropometric parameters and biochemical indicators were collected.Observation indicators:(1) incidence of cholelithiasis in the 4 groups;(2) risk factors analysis affecting newonset cholelithiasis:sex,age,cumBMl,BMI,drinking,smoking,physical exercise,hypertension,diabetes,C-reactive protein (CRP),triglyceride (TG) and total cholesterol (TC).Measurement data with normal distribution were represented as-x±s and comparisons among groups were analyzed using the one-way ANOVA.Pairwise comparison and homogeneity of variance were done using the LSD test.Heterogeneity of variance was done using the Dunnett's T3 test.Measurement data with skewed distribution were described as M (Q) and comparisons among groups were analyzed using the nonparametric test.Count data were analyzed by the chi-square test.The incidence of cholelithiasis in the 4 groups were calculated by the Kaplan-Meier method and comparisons of incidence were done by the Log-rank test.The univariate analysis and multivariate analysis were done using the COX regression model.Results (1) Incidence of cholelithiasis in the 4 groups:31 794 subjects were observed for (2.1 ± 0.4) years,and 236 had new-onset cholelithiasis with an incidence of 7.42‰.Incidences of cholelithiasis in the Q1,Q2,Q3 and Q4 groups were respectively 4.03‰,7.17‰,7.93‰ and 10.57‰,with a statistically significant difference among the 4 groups (x2 =72.39,P＜0.05).(2) Risk factors analysis affecting new-onset cholelithiasis:results of univariate analysis showed that sex,age,cumBMI,BMI,hypertension and CRP were independent risk factors affecting new-onset cholelithiasis of subjects [HR =1.61,1.75,1.64,1.36,1.39,1.39,95％ confidence interval (CI):1.23-2.10,1.49-2.05,1.45-1.86,1.21-1.53,1.07-1.79,1.18-1.62,P＜0.05].Results of multivariate analysis showed that female,age between 50 years and 60 years,age≥60 years,140.81 kg/m2×year ≤cumBMI ＜159.69 kg/m2×year,159.69 kg/m2×year≤cumBMI＜ 180.49 kg/m2 ×year,cumBMI ≥ 180.49 kg/m2 × year were independent risk factors affecting new-onset cholelithiasis of subjects (HR=1.59,1.78,2.33,2.04,2.42,3.66,95％CI:1.21-2.09,1.31-2.44,1.63-3.34,1.29-3.24,1.47-3.95,2.15-6.25,P＜0.05).Conclusion Female,advanced age and increasing cumBMI are independent risk factors affecting new-onset cholelithiasis,and the incidence of cholelithiasis rises as cumBMI increases.