1.Analysis of data from the survey of radiotherapy resources in Gansu Province, China, 2024
Jialong WU ; Yun WANG ; Hanyu ZHANG ; Jie WANG ; Yanjun WANG ; Fang WANG ; Qian WANG ; Ruiying WANG ; Xiangru QU ; Limei NIU ; Qin CHEN
Chinese Journal of Radiological Health 2026;35(1):1-5
Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.
2.Efficacy of Differential Dosage of Pueraria in Gegen Qinliantang on Acute Enteritis Model in Mice
Ruiying ZHANG ; Ping WANG ; Di ZHANG ; Hongfa CHENG ; Ying ZHANG ; Zhu DENG ; Hui FENG ; Min LIU ; Yang TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):197-204
ObjectiveTo investigate whether there are differences in the efficacy of Gegen Qinliantang with different contents of Puerariae Lobatae Radix on the acute enteritis (AE) model mice and provide a scientific basis for the interpretation of Gegen Qinliantang in the treatment of "Xie Re Li". MethodsA total of 112 male BALB/c mice were randomly divided into a blank group,model group,single Puerariae Lobatae Radix group,non-Puerariae Lobatae Radix group,regular dose Gegen Qinliantang group (regular dose group),half-dose Puerariae Lobatae Radix group,and doubled-dose Puerariae Lobatae Radix group, with 16 mice in each group. Hematoxylin-eosin (HE) staining was used to observe the pathological changes of the colon tissue. Western blot was employed to detect the expression of ZO-1 (a protein in the tight junction) and Occludin in the colon tissue, as well as the changes of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β). ResultsCompared with the blank group,the DAI scores of the mice in the model group were significantly higher (P<0.05),and the histopathological sections of their colon tissues showed mucosal damage,glandular atrophy,disordered arrangement,and a large number of inflammatory cells infiltration,and the expression of ZO-1 and Occludin proteins in their colon tissues was significantly down-regulated (P<0.05,P<0.01). The expression of inflammatory factors TNF-α and IL-1β was significantly up-regulated (P<0.05,P<0.01). Compared with the model group,the DAI scores of mice in all dosing groups decreased significantly (P<0.05),with the most significant effect in the regular dose group. After 7 d of drug administration,the regular dose group had the best impact on the repair of colonic mucosa in the AE mouse model. The regular dose group significantly down-regulated the expression of TNF-α (P<0.05) and significantly up-regulated the expression of ZO-1 protein (P<0.05). The doubled-dose Puerariae Lobatae Radix group significantly down-regulated the expression of IL-1β protein (P<0.01),and there was no significant difference between all dosing groups and the model group in terms of the expression of Occludin protein. After 14 d of drug administration,the best effect on the repair of colonic mucosa in the AE mouse model was observed in the doubled dose Puerariae Lobatae Radix group. All groups except the non-Puerariae Lobatae Radix group significantly down-regulated the expression of TNF-α (P<0.01). Meanwhile,the regular dose group and doubled-dose Puerariae Lobatae Radix group significantly elevated the expression level of Occludin protein (P<0.01). The doubled-dose Puerariae Lobatae Radix group also significantly inhibited the expression of IL-1β protein (P<0.05) and up-regulated ZO-1 protein expression (P<0.05). ConclusionGegen Qinliantang can reduce the pathological damage of colon tissue, protect the barrier function and structure of intestinal epithelial cells, and reduce the expression of inflammatory factors, so as to achieve the therapeutic effect of AE model mice. When comparing the therapeutic efficacy of Gegen Qinliantang containing different Gegen contents, Gegen Qinliantang with the proportion of the original formula of Zhongjing was the most effective in AE model mice.
3.Efficacy of Differential Dosage of Pueraria in Gegen Qinliantang on Acute Enteritis Model in Mice
Ruiying ZHANG ; Ping WANG ; Di ZHANG ; Hongfa CHENG ; Ying ZHANG ; Zhu DENG ; Hui FENG ; Min LIU ; Yang TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):197-204
ObjectiveTo investigate whether there are differences in the efficacy of Gegen Qinliantang with different contents of Puerariae Lobatae Radix on the acute enteritis (AE) model mice and provide a scientific basis for the interpretation of Gegen Qinliantang in the treatment of "Xie Re Li". MethodsA total of 112 male BALB/c mice were randomly divided into a blank group,model group,single Puerariae Lobatae Radix group,non-Puerariae Lobatae Radix group,regular dose Gegen Qinliantang group (regular dose group),half-dose Puerariae Lobatae Radix group,and doubled-dose Puerariae Lobatae Radix group, with 16 mice in each group. Hematoxylin-eosin (HE) staining was used to observe the pathological changes of the colon tissue. Western blot was employed to detect the expression of ZO-1 (a protein in the tight junction) and Occludin in the colon tissue, as well as the changes of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β). ResultsCompared with the blank group,the DAI scores of the mice in the model group were significantly higher (P<0.05),and the histopathological sections of their colon tissues showed mucosal damage,glandular atrophy,disordered arrangement,and a large number of inflammatory cells infiltration,and the expression of ZO-1 and Occludin proteins in their colon tissues was significantly down-regulated (P<0.05,P<0.01). The expression of inflammatory factors TNF-α and IL-1β was significantly up-regulated (P<0.05,P<0.01). Compared with the model group,the DAI scores of mice in all dosing groups decreased significantly (P<0.05),with the most significant effect in the regular dose group. After 7 d of drug administration,the regular dose group had the best impact on the repair of colonic mucosa in the AE mouse model. The regular dose group significantly down-regulated the expression of TNF-α (P<0.05) and significantly up-regulated the expression of ZO-1 protein (P<0.05). The doubled-dose Puerariae Lobatae Radix group significantly down-regulated the expression of IL-1β protein (P<0.01),and there was no significant difference between all dosing groups and the model group in terms of the expression of Occludin protein. After 14 d of drug administration,the best effect on the repair of colonic mucosa in the AE mouse model was observed in the doubled dose Puerariae Lobatae Radix group. All groups except the non-Puerariae Lobatae Radix group significantly down-regulated the expression of TNF-α (P<0.01). Meanwhile,the regular dose group and doubled-dose Puerariae Lobatae Radix group significantly elevated the expression level of Occludin protein (P<0.01). The doubled-dose Puerariae Lobatae Radix group also significantly inhibited the expression of IL-1β protein (P<0.05) and up-regulated ZO-1 protein expression (P<0.05). ConclusionGegen Qinliantang can reduce the pathological damage of colon tissue, protect the barrier function and structure of intestinal epithelial cells, and reduce the expression of inflammatory factors, so as to achieve the therapeutic effect of AE model mice. When comparing the therapeutic efficacy of Gegen Qinliantang containing different Gegen contents, Gegen Qinliantang with the proportion of the original formula of Zhongjing was the most effective in AE model mice.
4.Noninvasive prediction of high-risk esophageal varices by spleen and liver stiffness measurements using sound touch elastography
Jinfen WANG ; Siwei TAN ; Ruiying ZHENG ; Bilun KE ; Bin WU ; Manli WU
Liver Research 2025;9(3):231-238
Background and aims:Noninvasive assessments play a crucial role in ruling out high-risk esophageal varices(HREV)in cirrhotic patients.However,the value of sound touch elastography(STE)in predicting HREV has not been comprehensively investigated.Therefore,this study aimed to establish prediction models based on liver and spleen stiffness measurements obtained by STE and provide assessment strategies and cutoff values tailored for different clinical situations.Methods:This prospective study included cirrhotic patients who underwent esophagogastroduodeno-scopy(EGD).Liver and spleen stiffness measurements by STE were performed within six months of EGD examination.Various prediction models and their corresponding cutoff values were established for different clinical situations,incorporating spleen diameter and laboratory parameters.Results:A total of 154 cirrhotic patients were included in the study and stratified into training(n=119)and validation(n=35)sets.Multivariable analysis revealed platelet,spleen diameter and spleen stiffness measurement as independent predictors of HREV.The model incorporating spleen stiffness measurement,platelet,and spleen diameter demonstrated superior performance in predicting HREV,yielding an area under the receiver operating characteristic curve(AUC)of 0.878 and 0.853 in the training set and validation set,respectively.Application of this model for screening cirrhotic patients could avoid EGDs in 39.7%(27/68)and 35.3%(6/17)of patients in the training and validation sets,respectively.Conclusions:Liver and spleen stiffness measurements obtained through STE are valuable for predicting HREV in cirrhotic patients.The developed prediction models and their corresponding cutoff values provide tailored solutions for various clinical situations,thereby effectively reducing the need for un-necessary endoscopies.
5.Epidemiology and influencing factors of skin complications at the puncture site following femoral artery compression in patients with primary hepatocellular carcinoma after TACE
Xuemin JING ; Ruiying MA ; Lili ZHANG ; Huijuan GE ; Yongmei WANG ; Xiuya XING ; Xia JING ; Li ZHOU ; Cailian WANG ; Wanmiao GUI ; Jingjie REN
Journal of Interventional Radiology 2025;34(8):894-899
Objective To investigate the epidemiological characteristics and influencing factors of Femoral Artery Compression-Related Skin Complications Around the Puncture Site(FACR-SCAPS)in patients with primary hepatocellular carcinoma(HCC)undergoing transarterial chemoembolization(TACE).Methods A multicenter cross-sectional study was conducted using convenience sampling.A total of 1 573 HCC patients who underwent TACE between April 2023 and October 2024 were recruited from interventional radiology departments,oncology units,and specialized centers across 10 hospitals in Beijing,Tianjin,Shandong,Hebei,Qinghai,and Inner Mongolia.Descriptive statistics,univariate analysis,and multivariate logistic regression were used to explore the epidemiological characteristics and influencing factors of FACR-SCAPS in this population.Results Among the 1 573 primary HCC patients undergoing TACE interventional therapy,FACR-SCAPS occurred in 28.99%(456/1 573),with a total of 476 complication instances recorded(30.26 per 100 patients).Patients with a single complication accounted for 96.93%,whereas those with multiple complications constituted 3.07%.The most prevalent types of complications were skin erythema,skin ecchymosis,and hard lumps formation,collectively accounting for 96.49%of all complications.Hematoma,blisters,and rupture complications collectively accounted for only 4.61%.Logistic regression analysis revealed that peak diastolic blood pressure during compression(OR=1.024,95%CI:1.013-1.035,P<0.001),use of rotary compression hemostasis devices(OR=3.220,95%CI:2.120-4.891,P<0.001),elevated PT-INR(OR=19.630,95%CI:6.039-63.810,P<0.001),and anticoagulant use within the last three months(OR=1.909,95%CI:1.064-3.427,P=0.030)were significant influencing factors associated with FACR-SCAPS post-TACE.Conclusion FACR-SCAPS is commonly seen among primary HCC patients after TACE,its risk factors include peak diastolic blood pressure during compression,use of rotary compression devices,elevated PT-INR,and recent anticoagulant use.
6.Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning
Caiyu SHEN ; Shuai WANG ; Ruiying ZHOU ; Yuhe WANG ; Qin GAO ; Xingzhi CHEN ; Shu YANG
Journal of Southern Medical University 2024;44(6):1141-1148
Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.
7.Explorations of Clinical Teaching and Training Model for Refresher Anesthesiologists
Manjiao MA ; Lulu MA ; Ruiying WANG ; Xiuhua ZHANG
Medical Journal of Peking Union Medical College Hospital 2024;15(2):462-465
8.Establishment of a LASSO-Logistic Regression-based Risk Prediction Model for Early Recurrence of Siewert Ⅱ/Ⅲ Adenocarcinoma of Esophagogastric Junction Post-Surgery
Zuyu ZHANG ; Hong WEI ; Qian LIU ; Yaoqiang WANG ; Xueyan FAN ; Ruiying LUO ; Changjiang LUO
Medical Journal of Peking Union Medical College Hospital 2024;15(3):604-615
To investigate the risk factors for early relapse after curative resection of Siewert type Ⅱ/Ⅲ adenocarcinoma of esophagogastric junction (AEG) and construct a visual predictive model. A retrospective analysis was conducted on the clinicopathological data of patients diagnosed with Siewert type Ⅱ/Ⅲ AEG who underwent curative resection at the Second Hospital of Lanzhou University from January 2016 to March 2021. The samples were randomly divided into a training group and a validation group in a 7∶3 ratio. The LASSO-Logistic regression method was used to select variables predictive of early recurrence of Siewert type Ⅱ/Ⅲ AEG and construct a predictive model for early recurrence. The model was validated through 1000 bootstrap resampling. Receiver operating characteristic (ROC) curves were drawn, and area under the curve (AUC), calibration curves, and decision curve analysis (DCA) were used to evaluate the model's stability. According to the inclusion and exclusion criteria of this study, a total of 320 Siewert type Ⅱ/Ⅲ AEG patients were included, with 122 experiencing recurrence within two years. LASSO-Logistic regression analysis revealed AJCC staging, degree of differentiation, CA199, CEA, NLR, and tumor maximum diameter as independent predictive factors for early recurrence of Siewert type Ⅱ/Ⅲ AEG. A predictive model was constructed with these factors and depicted as a nomogram. For the training group, the AUC of the ROC curve was 0.836(95% CI: 0.785-0.887), with a sensitivity of 81.4% and a specificity of 85.6%;for the validation group, the AUC was 0.812(95% CI: 0.711-0.912), with a sensitivity of 80.6% and a specificity of 87.7%. Calibration curves for both the training and validation groups displayed curves close to the reference line, indicating high model stability. The DCA curve showed that the model provided a good net benefit with threshold probabilities between 0.05 and 0.75. A multivariate model developed using LASSO-Logistic regression could predict early relapse in patients with Siewert type Ⅱ/Ⅲ AEG, which may be instrumental in assessing patient prognoses and in guiding postoperative surveillance and management for patients with Siewert type Ⅱ/Ⅲ AEG.
9.Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning
Caiyu SHEN ; Shuai WANG ; Ruiying ZHOU ; Yuhe WANG ; Qin GAO ; Xingzhi CHEN ; Shu YANG
Journal of Southern Medical University 2024;44(6):1141-1148
Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.
10.Research progress on intervention measures for chronic obstructive pulmonary disease (COPD) with sarcopenia
Min XU ; Xiansheng LIU ; Ruiying WANG
Chinese Journal of General Practitioners 2024;23(12):1352-1357
Chronic obstructive pulmonary disease (COPD) is the most prevalent chronic respiratory condition, often accompanied by various comorbidities. Sarcopenia is a significant comorbidity of COPD, impacting its progression and prognosis, therefore early intervention is crucial. Intervention for COPD with sarcopenia includes non-pharmacological and pharmacological measures. Non-pharmacological intervention encompass respiratory rehabilitation, nutritional interventions and exercise training; while pharmaceutical intervention is still in its nascent stages. This article presents a comprehensive review of the research progress on intervention measures for COPD with sarcopenia, aiming to provide insights for prevention and management of this condition.

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