[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

Objective:To investigate the influencing factors for dysphagia in the elderly,to construct a predictive model for dysphagia,and to provide a theoretical basis for clinical practice.Methods:In this case-control study,the patients with dysphagia who attended Department of Geriatrics in the first affiliated hospital of Chongqing Medical University from March 2016 to June 2023 were enrolled as case group,and the patients without dysphagia who attended the same department during the same period of time were enrolled as con-trol group.The correlation analysis,least absolute shrinkage and selection operator(LASSO)regression,and multivariate logistic re-gression analysis were used to investigate the influencing factors for dysphagia;the 10-fold cross-validation Extreme Gradient Boosting(XGBoost)model was used to predict dysphagia,and the SHapley additive exPlanations(SHAP)method was used for model visualiza-tion.Results:There were 1009 cases in the case group and 2125 cases in the control group.The correlation analysis and LASSO re-gression analysis identified 12 factors for the multivariate logistic re-gression analysis,and the results showed that sarcopenia,increasing age,children or caretakers as caregivers,frail health,poor oral health,poor self-care ability,depression,and cognitive impairment were risk factors for dysphagia(odds ratio[OR]>1,P<0.05),and fe-male sex and participation in community activities were protective factors against dysphagia(OR<1,P<0.05).The XGBoost model had a good predictive efficacy,with an accuracy rate of 0.795,a preci-sion rate of 0.711,a sensitivity of 0.613,a specificity of 0.881,an F1 value of 0.661,and an area under the ROC curve of 0.855.The SHAP plot showed that the top five important characteristics were caregiver,oral score,frail health condition,activities of daily living,and cognitive function.Conclusion:There are various influencing factors for dysphagia in the elderly,and the elderly patients with poor oral health,frailty,dependence on others for daily life,and cognitive impairment should be taken seriously in clinical practice.The XGBoost model has a good performance in predicting dysphagia in the elderly,which can provide a reference for clinical practice.

Objective To develop models for predicting response to chemotherapy combined with immunotherapy in patients with esophageal squamous carcinoma with various machine learning algorithms,and then select the optimal model.Methods A retrospective study was performed for 174 patients with esophageal squamous cell carcinoma undergoing chemotherapy combined with immunotherapy admitted in Department of Thoracic Surgery of the First Affiliated Hospital of Army Medical University from January 2022 to December 2023.The CT scans and clinical information were collected before treatment.They were randomly divided into a training set(n=122)and a testing set(n=52)in a ratio of 7∶3.CT radiomic features were extracted and selected,and then 5 machine-learning algorithms were employed to establish the prediction models,including radiomics model and clinical-radiomics model.Five-fold cross-validation was conducted on the training set,and the performance of the prediction models was evaluated on the testing set using receiver operating characteristic(ROC)curve and the F1 score.The best-performing model was further explained using local interpretable model-agnostic explanations(LIME)algorithm.Results Among the 174 patients,115(66.1%)achieved clinical remission.From the clinical information and CT images,1 clinical features and 10 radiomic features were identified.The area under of ROC curve(AUC)for the radiomics and clinical-radiomics models was 0.750(95%CI:0.616～0.883),and 0.766(95%CI:0.637～0.895),respectively.The F1 score of the optimal clinical-radiomics model was 0.829.LIME algorithm indicated that this best model demonstrated reliability in predicting individual samples.Conclusion The clinical-radiomics prediction model based on machine learning algorithm performs well,and can provide a reference for doctors'clinical decision-making by predicting the response to chemotherapy combined with immunotherapy in patients with esophageal squamous cell carcinoma.

Objective:To explore the effect of intervention model based on comprehensive nutrition management on glucose and lipid metabolism and pregnancy outcome in patients with gestational diabetes mellitus (GDM).Methods:104 GDM patients admitted to Shanxi Bethune Hospital from February 2022 to March 2023 were randomly divided into control group and experimental group, with 52 cases in each group. The control group implemented routine management measures and nutrition guidance, while the experimental group implemented an intervention model based on comprehensive nutrition management on the basis of routine management. The indexes of glucose and lipid metabolism (glycosylated hemoglobin, fasting blood glucose, 2 h postprandial blood glucose, total cholesterol, triglyceride and low density lipoprotein cholesterol), pregnancy outcome, self-management ability and self-efficacy were compared between the two groups before and after intervention.Results:Before the intervention, there was no significant difference in general situation, glucose and lipid metabolism index, self-management ability and self-efficacy between the two groups ( P>0.05). After the intervention, the level of glucose and lipid metabolism index in the experimental group was significantly lower than that in the control group, with statistical significance ( P<0.05). The incidence of adverse pregnancy outcome in the experimental group was significantly lower than that in the control group, with statistical significance ( P<0.05). The scores of self-management ability and self-efficacy in the experimental group were significantly higher than those in the control group, with statistical significance ( P<0.05). Conclusion:The intervention model based on comprehensive nutrition management can effectively improve the glucose and lipid metabolism index and pregnancy outcome of GDM patients, and significantly improve their self-management ability and self-efficacy related to nutrition management, which has high clinical application and promotion value.

Objective:The purpose of this study is to explore the clinical characteristics of Coronavirus Disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM), and analyze the risk factors for adverse outcomes.Methods:2 052 patients diagnosed with COVID-19 who were hospitalized in Shanxi Bethune Hospital between December 1, 2022 and March 20, 2023 were included. They were divided into diabetes group ( n=70) and non-diabetes group ( n=1 982) according to the presence or absence of comorbid T2DM. The two groups were matched at 1:1 via propensity score matching. Clinical characteristics and laboratory examination results of the two groups were compared. According to the outcomes during hospitalization, the two groups were further divided into two subgroups respectively. Univariate analysis and subsequent binary Logistic regression was used to analyze the risk factors of adverse outcomes in patients with COVID-19 and type 2 diabetes. Results:After the propensity score matching, the most common comorbid condition in diabetes group and non-diabetes group was hypertension. The proportion of patients with severe or critical disease in diabetes group was higher compared with non-diabetes group. The levels of hemoglobin A1c (HbA1c), fasting blood glucose (FBG), blood urea, IL-4, IL-6, IL-10, IFN-γ and TNF-α were significantly higher in the diabetes group ( P<0.05). Logistic regression analysis within the diabetes group showed that hypertension ( OR=3.640, 95% CI: 3.156 to 4.290), FBG>11 mmol/L ( OR=3.283, 95% CI: 1.416 to 7.611), HbA1c>10% ( OR=2.718, 95% CI: 1.024 to 7.213) were independent risk factors for adverse outcomes in patients with COVID-19 and type 2 diabetes(all P<0.05). Conclusions:Compared with the non-diabetes group, patients with COVID-19 and T2DM have worse inflammatory response and higher levels of inflammatory cytokines. The elevated levels of FBG and HbA1c are related to the adverse outcome in patients with COVID-19 and T2DM.

Objective To compare the diagnostic value of smear acid-fast staining,TB-DNA,X-pert MTB/RIF and culture of Mycobacterium tuberculosis.Methods Four methods were used to detect the perifocal pus of the patients with bone destruction in orthopaedics department within one year,and the results were analyzed statistically,the indexes included sensitivity,specificity,positive predictive value and negative predictive value.Results The sensitivity,specificity,positive predictive value,negative predictive value,and Youden index were 31.75%,100.00%,100.00%,53.74%and 0.32 respectively.TB-DNA had a sensitivity of 88.89%,a specificity of 98.00%,a positive predictive value of 98.25%,a negative predictive value of 87.50%,and a Youden Index of 0.87.Xpert MTB/Rif had a sensitivity of 95.23%,a specificity of 68.00%,and a positive predictive value of 78.95%,the negative predictive value was 91.90%,the Youden index was 0.63.The sensitivity,the specificity,the positive predictive value,the negative predictive value and the Youden index were 41.27%,100.00%,100.00%,57.47%and 0.41 respectively,(χ2 = 77.354,P<0.005).Conclusion Among the four methods,TB-DNA has a good Sensitivity and specificity,Xpert mtbrif has a good sensitivity,TB-DNA and Xpert mtbrif ha a good authenticity,and both positive and negative predictive values are high,it has good value in the diagnosis of bone tuberculosis.

Abstract Airborne microorganisms, especially pathogenic microorganisms, are easily transmitted through dust and droplets, leading to various infectious diseases. The study summarizes the status of airborne microbial pollution, potential exposure levels, particle size, and species distribution of microorganisms, discusses the impact of airborne microorganisms on human health, and analyzes specific factors affecting campus air microorganisms from four aspects:climate, anthropogenic factors, time, and space, to provide a scientific basis for formulating effective improvement measures, improving air quality and safeguarding the health of teachers and students.

Objective To explore the feasibility of automatic segmentation of clinical target volume(CTV)and organs at risk(OARs)for cervical cancer using AccuLearning(AL)based on geometric and dosimetric indices.Methods Seventy-five CT localization images with manual contouring data of postoperative cervical cancer were enrolled in this study.Sixty cases were randomly selected to trained to generate automatic segmentation model by AL,and the CTV and OARs of the remaining 15 cases were automatically contoured.Radiotherapy plans on the automatic segmentation contours were imported on the CT images of manual contours.The efficiency,Dice similarity coefficient(DSC),Hausdorff distance(HD)and dosimetric parameters were compared between the two methods.Results The time of automatic segmentation was significantly shorter than that of the manual contour(P<0.05).The DSC of all structures were≥0.87.The HD of bowel bag and rectum were about 10 mm,and that of the rest of OARs were less than 5 mm.CTV(D98,V90% ,V95% ,Dmean,HI),bowel bag(V50)and bladder(V50)had significant differences in dosimetric comparison(P<0.05).Conclusion The automatic segmentation model based on AL can improve the efficiency of radiotherapy.Automatic segmentation of OARs has the potential of clinical application,while that of CTV still needs to be further modified.

Objective To explore the correlation between intestinal dose and acute radiation enteritis(ARE)in patients with cervical cancer received concurrent chemoradiotherapy,and optimize the dose limit of intestinal tissue.Methods 158 cervical cancer patients received concurrent chemoradiotherapy from 2014 to 2019 were selected in this study.According to CTCAE 5.0,patients with ARE≥grade 2 were classified as ARE≥grade 2 group,otherwise classified as ARE0.7,P<0.05).Conclusions For patients with cervical cancer received concurrent chemoradiotherapy,the dose of bowelbag V5 and V40 should be considered to rationally optimize the dose of bowelbag in the radiotherapy plan,so as to reduce the incidence of ARE≥grade 2.

BACKGROUND:Studies have shown that cardiomyocyte apoptosis is closely related to cardiac decompensation and the cardiac aging process.Appropriate exercise can alter heart pump function in patients with heart failure as well as attenuate aging-induced cardiomyocyte apoptosis,hypertrophy,and fibrotic damage. OBJECTIVE:To investigate the effects of long-term aerobic exercise on cardiomyocyte apoptosis and the thioredoxin system in aging rats. METHODS:Thirty-six male Sprague-Dawley rats were selected and divided into three age groups:3-month-old young group,9-month-old middle-aged group,and 18-month-old elderly group,with 12 rats in each group.Within each age group,rats were randomly assigned to sedentary and exercise subgroups(n=6 per group).The sedentary groups did not undergo any exercise intervention.The exercise groups were acclimated to a treadmill environment and subsequently subjected to treadmill exercise for 45 minutes per day,at a speed of 15 m/min,5 days per week for 10 weeks in total.At 24 hours after the final intervention,ELISA was employed to measure serum levels of cardiac troponin I and creatine kinase-MB in rats.TUNEL assay was utilized to detect cardiomyocyte apoptosis,while western blot assay was employed to assess the protein expression of Bax,Bcl-2,Caspase 3,thioredoxin-1,thioredoxin-2,thioredoxin reductase-1,thioredoxin reductase-2,thioredoxin-interacting protein,apoptosis signal-regulating kinase 1,and P38 mitogen-activated protein kinase in rat myocardial tissue. RESULTS AND CONCLUSION:Serum levels of cardiac troponin I and creatine kinase-MB in the elderly sedentary group were significantly higher than those in the young and middle-aged sedentary groups and elderly exercise group(P<0.01).Serum levels of cardiac troponin I and creatine kinase-MB in the elderly sedentary group were significantly higher than those in the young and middle-aged exercise groups and elderly exercise group(P<0.01).Positive apoptotic cells in rat myocardial tissue,along with increased protein expression of Bax and Caspase 3,exhibited an age-related upward trend,while Bcl-2 protein expression showed a declining trend.In comparison with the sedentary groups within each age category,the number of apoptotic cardiomyocytes and the expression of Bax and Caspase 3 proteins were reduced to different degrees,and the expression of Bcl-2 protein was increased to different degrees in the corresponding exercise groups.Compared with the young sedentary group,middle-aged sedentary group and elderly exercise group,elderly sedentary rats showed a significant decrease in the expression of myocardial thioredoxin 1,thioredoxin 2,thioredoxin reductase 1,and thioredoxin reductase 2 proteins(P<0.05,P<0.01).The expression of myocardial thioredoxin 1,thioredoxin 2,and thioredoxin reductase 2 proteins was lower in the elderly exercise group than in the young exercise group(P<0.05,P<0.01),while the expression of thioredoxin reductase 1 and thioredoxin reductase 2 proteins was lower in the elderly exercise group than in the middle-aged exercise group(P<0.01).The protein expression of thioredoxin-interacting protein,apoptosis signal-regulating kinase 1,and P38 mitogen-activated protein kinase in rat myocardium was significantly higher in the elderly sedentary group than the young sedentary group,middle-aged sedentary group and elderly exercise group(P<0.01).The protein expression of thioredoxin-interacting protein,apoptosis signal-regulating kinase 1,and P38 mitogen-activated protein kinase in rat myocardium was significantly higher in the elderly exercise group than the young exercise group and middle-aged exercise group(P<0.01).To conclude,aerobic exercise may enhance the anti-apoptotic effects of thioredoxin by down-regulating the expression of thioredoxin-interacting protein in aging rat hearts,leading to the downregulation of apoptosis signal-regulated kinase 1 and P38 mitogen-activated kinase protein,thereby alleviating myocardial cell apoptosis in aging rat hearts.