Objective To establish,evaluate and validate the Nomogram prediction model of radiation pneumonitis(RP)in intensity modulated radiotherapy(IMRT)with TCM syndrome elements.Methods 257 patients with locally advanved non-small cell lung cancer receiving IMRT were analyzed retrospectively.The total population was randomly divided into a training set and a validation set by 7:3.A prediction model was established by Lasso-Logistic regression analysis,and then visualized by Nomogram to evaluate and validate the model.Results Independent risk factors included in the prediction model included tumor stage(OR=6.576;P=0.003),position(OR=2.935;P=0.016),MLD of the affected lung(OR=1.001;P<0.001)and Yin deficiency(OR=3.861;P=0.003).Based on the above factors,the prediction model was constructed and visualized.The C-index of the training set and the validation set were 0.865 and 0.867,respectively.The calibration curves of the two sets had a good fit and had certain clinical usefulness.Conclusion Based on the clinical elements of Chinese and Western medicine,tumor stage,position,lung MLD and Yin deficiency,the model can accurately predict the occurrence of≥grade 2 RP,and provide a reference for clinical screening of high-risk patients and further improvement of treatment plan.

Objective To establish,evaluate and validate the Nomogram prediction model of radiation pneumonitis(RP)in intensity modulated radiotherapy(IMRT)with TCM syndrome elements.Methods 257 patients with locally advanved non-small cell lung cancer receiving IMRT were analyzed retrospectively.The total population was randomly divided into a training set and a validation set by 7:3.A prediction model was established by Lasso-Logistic regression analysis,and then visualized by Nomogram to evaluate and validate the model.Results Independent risk factors included in the prediction model included tumor stage(OR=6.576;P=0.003),position(OR=2.935;P=0.016),MLD of the affected lung(OR=1.001;P<0.001)and Yin deficiency(OR=3.861;P=0.003).Based on the above factors,the prediction model was constructed and visualized.The C-index of the training set and the validation set were 0.865 and 0.867,respectively.The calibration curves of the two sets had a good fit and had certain clinical usefulness.Conclusion Based on the clinical elements of Chinese and Western medicine,tumor stage,position,lung MLD and Yin deficiency,the model can accurately predict the occurrence of≥grade 2 RP,and provide a reference for clinical screening of high-risk patients and further improvement of treatment plan.

Objective To evaluate the effects of Baihe Gujin Decoction on long-term survival in patients with non-small cell lung cancer(NSCLC)receiving radiotherapy(RT)in the real world.Methods Retrospective data from patients with NSCLC receiving RT in the Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine(TCM)and data from patients in the Surveillance,Epidemiology and End Results(SEER)database were collected and grouped as the TCM+conventional Western medicine(CWM)cohort and CWM cohort,respectively.Propensity score matching(PSM)was used to balance confounders between groups.Kaplan-Meier curve and Cox regression model were used to estimate the effects of Baihe Gujin Decoction on survival outcomes of patients receiving RT.Results Totally 190 samples with a balance between groups were obtained using PSM.Overall survival(OS)analysis showed that the TCM+CWM cohort had significantly longer OS than the CWM cohort(P=0.004).Subgroup analysis showed that the Baihe Gujin Decoction was more advantageous in the characteristic population of age≥65 years(P=0.027),male(P=0.010),T3-T4 stage(P<0.001),N2-N3 stage(P=0.026),M1 stage(P<0.001),not receiving chemotherapy(P<0.001),and not undergoing surgery(P<0.001).Multivariate Cox regression confirmed that treatment group(P=0.003),T(P=0.003)and M stages(P=0.002)may be the independent prognostic factors for OS of NSCLC patients treated with RT.Conclusion Baihe Gujin Decoction probably can improve the long-term prognosis in NSCLC patients treatment with RT.

This paper aimed at discussing the characteristics of blood glucose changes of type 2 diabetes according to the flow rule of Qi and Blood as well as the Hurst index of dynamic blood glucose collected by CGMS. A total of 156 T2DM patients were selected from the Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine. After continuous monitoring of dynamic blood glucose for 3 consecutive days (72 hours) with CGMS, the first complete 24 hour dynamic glucose, which start at 3 to 5 am(corresponding to Lung) and end at 1 to 3 am next morning(corresponding to Liver), are used for calculating each two-hours?? Hurst index. The measurement data was set at each two-hours, and multiple groups of related sample tests (Friedman) non- parametric test methods were used for comparison between groups. The statistical significance level was set to P ＜ 0.05. The results showed that the Hurst indices of each two-hour are all greater than 0.5. The three highest Hurst indices were: Stomach Hurst (0.960) ＞ Heart Hurst (0.946) ＞ Spleen Hurst (0.945), and the three lowest Hurst indices were: Lung Hurst (0.886) ＜ Liver Hurst (0.893) ＜ Large intestine Hurst (0.905). The standard deviation of the large intestine Hurst was the largest, reaching 0.088, and the standard deviation of the gastric Hurst was the smallest, 0.058. The distribution image of the Hurst index of individual patients at each twohours was similar to that obtained by the whole sample, but the specific time to a certain two-hours had fluctuations. The number of pairs with statistical difference between each two groups in two-hours is 29, accounting for 44％ of the total number of pairs. The organs and meridians that have more differences with other two-hours are successively stomach, lung, liver, kidney, spleen and heart. The differences of the blood glucose changes at different times in patients with type 2 diabetes can be indicated by the dynamic blood glucose Hurst indices, which are calculated according to the rule of Qi and blood flow.

Atopic dermatitis (AD) is an inflammatory skin disease closely related to impairment of skin barrier function.Hereditary factors,life style and exposure to the environment all contribute to the occurrence of AD.Even though AD occurs mostly in infants,sometimes it may initially occur in adults,which is called adult-onset AD (AOAD).There are evident differences in types,immunological mechanisms and association with other diseases between childhood AD and AOAD.The lesional distribution of AOAD is similar to that of childhood AD,while AOAD is characterized by subacute and chronic dermatitis,and mainly manifests as dry hypertrophic lesions rarely complicated with exudation.Th1/Th2 imbalance and hyperfunction of antigen-presenting cells are immunological basis of AD occurrence.Moreover,FLG gene mutations are associated with the occurrence of AD.Acquired expression defect in the FLG gene induced by elevated levels of interleukin-13 (IL-13) only occurs in adults,suggesting that AOAD is different from AD that initially occurs during infancy and continues into adulthood.Infection,changes of bacterial flora in the skin and intestinal tract,and smoking are all important causative factors of AOAD,thus enquiries about histories of related diseases and smoking are helpful for the diagnosis of AOAD.