The principle of treating different diseases with the same therapy is the essence of syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It means that when the same pathogenic changes or the same symptoms appear in the development of different diseases， the same principles or methods can be used for treatment. Due to the complexity and high variability of viral pathogenicity， the precise and effective treatment of different types of viral pneumonia （VP） has always been a research focus and difficulty in modern medicine. VP belongs to the category of external-contraction febrile disease， warm disease， and epidemic in TCM. Haoqin Qingdantang （HQQDD） is a representative formula for clearing heat and dispelling dampness in warm diseases， and its intervention in VP caused by various viral infections has significant effects. This study， guided by the theory of treating different diseases with the same therapy， links the related studies on using HQQDD to treat different types of VP and finds that influenza virus pneumonia （IVP）， severe acute respiratory syndrome （SARS）， and COVID-19 all have a common pathogenic mechanism of dampness-heat at different stages of respective diseases. When these diseases are dominated by damp-heat factors， the use of HQQDD yields remarkable therapeutic effects. Modern pharmacological studies have confirmed that HQQDD can inhibit virus replication， reduce fever reactions， inhibit the expression of inflammatory mediators， and regulate immune balance. Moreover， the sovereign medicine in this formula has excellent antiviral activity， and the formula reflects rich scientific connotations of treating VP. According to the theory of treating different diseases with the same therapy and based on the effective treatment practice and modern pharmacological research of HQQDD for different types of VP， this paper mines the underlying TCM theory of treatment with the same therapy， explores the syndrome differentiation and treatment strategy and effect mechanism of this formula for different types of VP， and analyzes the treatment mechanism and characteristics， with the aim of providing evidence and reference for the clinical application and modern research of HQQDD.

Pneumonia is an infectious disease with high morbidity and mortality worldwide， and its damage to the body is not limited to the acute phase. The theory of combination of pathogenic factors emphasizes that the combination of new pathogens and residual pathogens in the body leads to the occurrence of diseases， which generalizes the causes of recurrence during pneumonia recovery. During the recovery stage of pneumonia， pathological changes such as disturbance of immune homeostasis， persistent low-grade inflammation， and microvascular damage continue to affect the body function， impair the health and quality of life of patients， and increase the risk of secondary infection. According to the theory of traditional Chinese medicine （TCM）， pneumonia is caused by deficiency， and Qi deficiency and blood stasis is the core pathogenesis in the recovery stage. At this time， the body is not full of healthy qi and still has residual pathogens， and thus it is susceptible to external pathogenic factors that lead to disease recurrence. As an important part of the TCM philosophy of treating disease before its onset， prevention of recurrence after recovery emphasizes the need for aftercare in the recovery stage to prevent disease recurrence. Based on the pathogenesis theory of combination of pathogenic factors and the pathogenesis of Qi deficiency and blood stasis， this paper discusses the effect and connotation of TCM in regulating immune inflammation and microvascular damage in preventing recurrence of pneumonia during the recovery stage， aiming to develop new ideas for effective prevention and treatment of pneumonia at this stage.

BACKGROUND:Cadmium is a common environmental pollutant,which can damage multiple organs and tissues,such as the kidney and bone,but its effect on annulus fibrosus cells in the intervertebral disc has been less reported. OBJECTIVE:To investigate the effect of cadmium chloride on the senescence of annulus fibrosus cells and the role of PI3K/Akt signaling pathway. METHODS:Annulus fibrosus cells from Sprague-Dawley rat intervertebral discs were harvested and passage 3 cells were intervened with different concentrations of cadmium chloride(0,1,5,10,20 μmol/L).Cell viability and proliferation were detected by cell counting kit-8 assay.Transcriptome sequencing and Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis were performed on annulus fibrosus cells with or without cadmium chloride addition.Passage 3 annulus fibrosus cells were divided into control group,cadmium chloride group and LY294002 group.Cell proliferation rate was detected by EdU method,positive cell rate was detected by senescence-associated β-galactosidase staining,and expressions of senescence-associated proteins(p16,p21 and p53)and p-Akt at protein and mRNA levels were measured by western blot,RT-PCR and immunofluorescence. RESULTS AND CONCLUSION:5 μmol/L cadmium chloride could inhibit the proliferation of annulus fibrosus cells.Results from the Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis showed that the main signal transduction pathways included PI3K/Akt,cell cycle and p53 signaling pathways,which were related to cell senescence and proliferation.PI3K/Akt signaling pathways with significant differential expression were selected for validation.Compared with the control group,the EdU-positive rate was significantly decreased in the cadmium chloride group(P<0.05),while the β-galactosidase-positive rate,the expression of senescence-associated proteins(p16,p21 and p53)and p-Akt significantly increased(P<0.05).Compared with the cadmium chloride group,the EdU-positive rate and p-Akt expression were significantly decreased in the LY294002 group(P<0.05),while the β-galactosidase-positive rate and the expression of senescence-associated proteins(p16,p21 and p53)significantly increased(P<0.05).To conclude,cadmium chloride can regulate the senescence of annulus fibrosus cells by activating the PI3K/Akt signaling pathway,thereby inducing the occurrence and progression of intervertebral disc degeneration.

Objective:To investigate the clinicopathological characteristics of early gastric cancer with mixed histological staging, and to analyze the prognostic effect of endoscopic submucosal dissection (ESD) for early gastric cancer.Methods:Clinical data of early gastric cancer patients treated with ESD in Gansu Wuwei Cancer Hospital from January 2011 to March 2020 were collected, and clinicopathological characteristics of patients with mixed-type early gastric cancer were analyzed by descriptive statistical methods. The clinical effects and influencing factors of ESD on early gastric cancer were analyzed by logistic regression. Kaplan-Meier was used to estimate the survival rate, and log-rank test was used to compare the survival rate.Results:A total of 269 patients (280 lesions) were included in this study, including 216 males (80.30%) and 53 females (19.70%), with age of 60.43±8.01 years. There were 25 lesions (8.93%) of mixed early gastric cancer, 248 lesions (88.57%) of differentiated early gastric cancer, and 7 lesions (2.50%) of undifferentiated early gastric cancer. Compared with differentiated and undifferentiated early gastric cancer, the lesion site of mixed early gastric cancer was mainly located in the upper 1/3 of the stomach [64.00% (16/25), 40.73% (101/248) VS 0.00% (0/7), χ2=10.211, P=0.006], the proportion of the lesion size ≤2 cm was relatively small [52.00% (13/25), 80.65% (200/248) VS 85.71% (6/7), χ2=11.173, P=0.004], and the proportion of infiltration depth in the mucosa was lower [52.00% (13/25), 85.48% (212/248) VS 57.14% (4/7), χ2=20.019, P<0.001], the proportion of positive vertical resection margin was relatively high [20.00% (5/25), 2.82% (7/248) VS 0.00% (0/7), χ2=16.657, P<0.001], the proportion of vascular invasion was higher than that of differentiated carcinoma but lower than that of undifferentiated carcinoma [36.00% (9/25), 2.42% (6/248) VS 42.86% (3/7), χ2=58.413, P<0.001], the complete resection rate was lower [76.00% (19/25), 93.15% (231/248) VS 100.00% (7/7), χ2=9.497, P=0.009], the curative resection rate was lower than that of differentiated early gastric cancer, but higher than that of undifferentiated early gastric cancer [48.00% (12/25), 89.52% (222/248) VS 42.86% (3/7), χ2=39.757, P<0.001], and the proportion of eCura grade C2 was higher than that of differentiated cancer, but lower than that of undifferentiated cancer [48.00% (12/25), 5.65% (14/248) VS 57.14% (4/7), χ2=58.766, P<0.001]. The results of multivariate analysis showed that the larger lesions ( P=0.004, OR=0.539, 95% CI: 0.354-0.822) was the risk factor for curative resection. In terms of infiltration depth, mucosal ( P=0.001, OR=51.799, 95% CI: 5.535-84.768) and submucosal 1 ( P<0.001, OR=29.301, 95% CI: 24.694-73.972) were protective factors for curative resection compared with submucosal 2. In terms of differentiation degree, compared with mixed type, differentiated type ( P=0.024, OR=3.947, 95% CI: 1.195-13.032) was the protective factor for curative resection, while undifferentiated type ( P=0.443, OR=0.424, 95% CI: 0.048-3.788) showed no difference between curative resection and mixed type. During the follow-up, 7 patients died. The overall survival time was 114.42±0.97 months, and the 5-year survival rate was 97.10%. There was no significant difference in the survival rate of early gastric cancer patients with different degrees of differentiation ( χ2=0.434, P=0.805). The survival rate of early gastric cancer patients with or without curative resection was significantly different ( χ2=4.081, P=0.043). Conclusion:Mixed early gastric cancer patients show high margin positive rate, vascular infiltration, and less curative resection than differentiated early gastric cancer. Therefore, the process of treating mixed early gastric cancer should be more rigorous. The long-term survival prognosis of early gastric cancer after ESD treatment is promising.

Objective To analyze the pathogenic characteristics and drug sensitivity of candidaemia,and construct a short-term mortality risk prediction scoring model.Methods The clinical data of patients with candidaemia admitted to the 909 Hospital of Joint Logistics Support Force from January 2011 to December 2020 were retrospectively analyzed,and the composition of pathogen composition,drug sensitivity test results and incidence of hospitalized patients were analyzed.324 cases of candidaemia were randomly divided into modeling group(190 cases)and validation group(134 cases),and the risk factors were screened by binary logistic regression.According to the odds ratio(OR)score,the 30 day mortality risk prediction scoring model was constructed,and the predictive performance of the model was verified both in modeling and validation groups.Results 356 strains of Candida including 126 strains of C.albicans(35.39%),79 strains of C.tropicalis(22.19%),74 strains of C.parapsilosis(20.79%),48 strains of C.glabrata(13.48%),14 strains of C.guilliermondii(3.93%),8 strains of C.krusei(2.25%),and 7 strains of other Candida(1.97%)were detected in 336 patients with candidemia.The incidence of candidaemia among hospitalized patients increased from 0.20 ‰ in 2011 to 0.48 ‰ in 2020.The resistance rate of candida to amphotericin B was significantly lower than that of fluconazole,voriconazole and itraconazole(P＜0.05).Among the 324 cases included in the model,95 patients died in 30 days after diagnosis,and the mortality rate was 29.32%.The proportion of males,fever,and parenteral nutrition in modeling group was significantly higher than that in validation group(P＜0.05),while the proportion of chronic lung disease and surgical history within one month were lower than those in validation group(P＜0.05).Logistic regression analysis showed that chronic renal failure,mechanical ventilation,severe neutropenia,failure to receive anti-fungal treatment within 72 hours,and APACHE Ⅱ≥20 were risk factors for short-term death of candidaemia,the OR values were 3.179,1.970,2.979,2.080,and 2.399,and the risk scores were 6,4,6,4,and 5,respectively.The area under the curve(AUC)of the risk scoring model for modeling group was 0.792(95%CI 0.721-0.862),and the result of Hosmer-Lemeshow(H-L)test was P=0.305;The AUC of validation group was 0.796(95%CI 0.735-0.898),and the H-L test result was P=0.329.A risk score≤8 indicated a low risk group for short-term mortality,a score of 9-15 indicated a medium risk group,and a score≥16 indicated a high risk group.Conclusions The incidence of candidemia in hospitalized patients is increasing and the mortality is high.The risk prediction score model can effectively predict the short-term prognosis and facilitate the early identification of the prognosis.

AIM To investigate the variation rules of main secondary metabolites in Hedysari Radix before and after rubbing strip.METHODS UPLC-MS/MS was adopted in the content determination of formononetin,ononin,calycosin,calycosin-7-glucoside,medicarpin,genistein,luteolin,liquiritigenin,isoliquiritigenin,vanillic acid,ferulic acid,γ-aminobutyric acid,adenosine and betaine,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition to explore differential components.RESULTS After rubbing strip,formononetin,calycosin,liquiritigenin and γ-aminobutynic acid demonstrated increased contents,along with decreased contents of ononin,calycosin-7-glucoside and vanillic acid.The samples with and without rubbing strip were clustered into two types,calycosin-7-glucoside,formononetin,γ-aminobutynic acid,vanillic acid,calycosin-7-glucoside and formononetin were differential components.CONCLUSION This experiment clarifies the differences of chemical constituents in Hedysari Radix before and after rubbing strip,which can provide a reference for the research on rubbing strip mechanism of other medicinal materials.

Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images. Methods A total of 1 001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1 007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine with lung cancer,diabetes,and hypertension were collected.The tongue images were randomi-zed into the training,validation,and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model's performance was evaluated by its accuracy,loss curve,recall,F1 score,confusion matrix,receiver operating characteristic(ROC)curve,and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM). Results The training results showed that after 90 epochs,the model presented an excellent classification performance.The loss curve and accuracy were stable,showing no signs of overfitting.The model achieved an accuracy,recall,and F1 score of 92%,91%,and 92%,re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95,respectively. Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective To explore the expression of serum fatty acid-binding protein 4(FABP4)and fibroblast growth factor 19(FGF19)in patients with β-thalassemia and their relationship with clinical prognosis.Methods A total of 112 cases ofβ-thalassemia patients diagnosed and treated in Qianjiang Hospital Affiliated to Chongqing University from January 2018 to August 2020 were selected as the case group,and 60 healthy individuals who underwent physical examinations during the same period were taken as the control group.Enzyme-linked immunosorbent assay was used to detect levels of serum FABP4 and FGF19 expression.Multivariate logistic regression analysis was used to analyze factors affecting the prognosis of patients with β-thalassemia.Receiver operating characteristic curve was used to analyze the prognostic value of FABP4 and FGF19 in patients with β-thalassemia.Results The serum FABP4 level(67.13±11.35 μg/L)in the case group was higher than that in the control group(22.01±4.16μg/L),while the serum FGF19 level(104.24±21.46 ng/L)was lower than that in the control group(218.01±36.79 ng/L),with significant differences(t=29.708,25.620,all P＜0.05).The serum FABP4 levels(54.20±12.63 μ g/L,66.83±10.5 μ g/L,79.72±11.05 μ g/L)in the mild group,intermediate group,and severe group were increased sequentially,while FGF19 levels(122.53±22.36 ng/L,103.16±20.37 ng/L,86.53±18.14 ng/L)were decreased sequentially,and the differences were significant(F=39.701,24.231,all P＜0.05).Compared to the survival group,serum FGF19 level(62.80±22.09 ng/L vs 110.16±20.69 ng/L),Hb and the proportion of heterozygous genotypes in the death group patients(β CD17/β N,β CD41-42/β N)was lower,while serum FABP4(116.69±12.30 ng/L vs 60.05±10.17 ng/L),ferritin and the proportion of cardiac enlargement were higher,with significant differences(t/x2=4.436～18.981,all P＜0.05).FGF19(OR=0.634,95％CI:0.451～0.891)was an independent protective factor for β-thalassemia patients(P＜0.001),and serum FABP4(OR=1.840,95％CI:1.193～2.838)was an independent risk factor for prognosis(P＜0.001).The area under the curve(95％CI)of serum FABP4 and FGF19 combination in prognosis evaluation for β-thalassemia patients was 0.897(0.853～0.951),which was greater than the single serum indicator detection of 0.842(0.801～0.879)and 0.814(0.762～0.858),with significant differences(Z=4.864,5.270,P=0.002,0.001).Conclusion The serum FABP4 expression is increased,but serum FGF19 expression is decreased in patients with β-thalassemia.The combination of serum FABP4 and FGF19 may have a high predictive value for the prognosis of patients with β-thalassemia.