Objective To explore the influencing factors of readmission within 90 days in frail patients with chronic obstructive pulmonary disease(COPD),construct an early warning model and evaluate its discrimination and effectiveness.Methods A total of 831 COPD patients with frailty were included and divided into the readmission group(290 cases)and the control group(541 cases)based on whether they were readmitted within 90 days after discharge.The electronic medical record data were collected and compared between the two groups of patients.Multivariate Logistic regression analysis was used to screen independent influencing factors for readmission within 90 days in COPD weak patients.A predictive model was established.The column chart was drawn.The discriminability of the predictive model was evaluated through receiver operating characteristic(ROC)curves.The clinical practicality and the predictive model calibration were evaluated through decision curves and calibration curves.Results The body mass index(BMI)of the readmission group was lower than that of the non readmission group,and the proportion of acute exacerbation of COPD hospitalizations≥2 times in the past year,the Edmonton frailty scale(REFS)score and the Chalson comorbidity index(CCI)were higher in the readmission group than those of the non readmission group(P＜0.05).Multivariate Logistic regression analysis showed that BMI(OR=0.721,95%CI:0.636-0.818),the number of acute exacerbations of COPD hospitalizations in the past year(OR=3.040,95%CI:1.944-4.753),REFS score(OR=1.726,95%CI:1.486-2.005)and CCI score(OR=3.917,95%CI:3.079-4.983)were all independent influencing factors for readmission within 90 days in COPD frail patients(P＜0.05).Based on the results of multiple factor Logistic regression analysis,the column chart warning model was constructed.The AUC value of the ROC curve was 0.847(95%CI:0.820-0.874),the specificity was 87.20%and the sensitivity was 64.50%.The calibration curve of the predictive model was close to the diagonal,and the calibrationa degree was good.The decision curve suggested that the prediction model had clinical practicality.Conclusion The early warning model constructed based on the influencing factors of readmission hospitalization within 90 days in weak patients with COPD has good predictive effect and clinical practicability.

In recent years,the incidence and mortality of malignant tumors have been increasing year by year,becoming a se-rious challenge to global public health.Unlike traditional treatment methods,tumor immunotherapy activates the body's own immune system to against tumors,and has significant advantage such as minimal side effects,long-lasting efficacy,and strong targeting.Howev-er,immunotherapy also has issues such as frequent adverse reactions and high treatment costs.In order to enhance the efficacy of im-munotherapy,some phytochemicals are used in the field of immunotherapy as modulators.These phytochemicals not only increase the sensitivity of tumor cells to immune cells,but also reduce the expression of immune checkpoint proteins.Therefore,this article provides a review of phytochemicals that play an important role in tumor immunotherapy and their related mechanisms of action.

Objective:To investigate the dose characteristics of the Zeiss INTRABEAM system in air and water, providing dose reference for electronic brachytherapy.Methods:A Monte Carlo program was used to establish a three-dimensional model of a miniature X-ray source vacuum drift tube and a 4 cm spherical applicator. The process of electron beam bombardment on a gold target to generate X-rays was simulated, and parameters such as photon fluence spectrum, percentage depth dose, and half-value layer were calculated. Additionally, the radial dose uniformity in water was measured.Results:The average energy of X-rays at 3 cm in air was 20.8 keV, with a half-value layer of 0.08 mm Al. Under the influence of the applicator, the spectrum becomes hardened, with axial and radial average energies of 28.7 and 29.0 keV, respectively. In water, the percentage depth dose (PDD) curve follows an inverse cubic decay with depth, indicating strong dose concentration and rapid fall-off in near-field irradiation. The radial dose uniformity in water exceeded 99.5%.Conclusions:The INTRABEAM device emits low-energy X-rays characterized by shallow penetration depth, and concentrated dose delivery. Its highly uniform dose distribution ensures comprehensive coverage of the target area, making it particularly suitable for treating superficial tumors and for intraoperative radiotherapy at close range.

Objective To explore the influencing factors of readmission within 90 days in frail patients with chronic obstructive pulmonary disease(COPD),construct an early warning model and evaluate its discrimination and effectiveness.Methods A total of 831 COPD patients with frailty were included and divided into the readmission group(290 cases)and the control group(541 cases)based on whether they were readmitted within 90 days after discharge.The electronic medical record data were collected and compared between the two groups of patients.Multivariate Logistic regression analysis was used to screen independent influencing factors for readmission within 90 days in COPD weak patients.A predictive model was established.The column chart was drawn.The discriminability of the predictive model was evaluated through receiver operating characteristic(ROC)curves.The clinical practicality and the predictive model calibration were evaluated through decision curves and calibration curves.Results The body mass index(BMI)of the readmission group was lower than that of the non readmission group,and the proportion of acute exacerbation of COPD hospitalizations≥2 times in the past year,the Edmonton frailty scale(REFS)score and the Chalson comorbidity index(CCI)were higher in the readmission group than those of the non readmission group(P＜0.05).Multivariate Logistic regression analysis showed that BMI(OR=0.721,95%CI:0.636-0.818),the number of acute exacerbations of COPD hospitalizations in the past year(OR=3.040,95%CI:1.944-4.753),REFS score(OR=1.726,95%CI:1.486-2.005)and CCI score(OR=3.917,95%CI:3.079-4.983)were all independent influencing factors for readmission within 90 days in COPD frail patients(P＜0.05).Based on the results of multiple factor Logistic regression analysis,the column chart warning model was constructed.The AUC value of the ROC curve was 0.847(95%CI:0.820-0.874),the specificity was 87.20%and the sensitivity was 64.50%.The calibration curve of the predictive model was close to the diagonal,and the calibrationa degree was good.The decision curve suggested that the prediction model had clinical practicality.Conclusion The early warning model constructed based on the influencing factors of readmission hospitalization within 90 days in weak patients with COPD has good predictive effect and clinical practicability.

Objective:To investigate the dose characteristics of the Zeiss INTRABEAM system in air and water, providing dose reference for electronic brachytherapy.Methods:A Monte Carlo program was used to establish a three-dimensional model of a miniature X-ray source vacuum drift tube and a 4 cm spherical applicator. The process of electron beam bombardment on a gold target to generate X-rays was simulated, and parameters such as photon fluence spectrum, percentage depth dose, and half-value layer were calculated. Additionally, the radial dose uniformity in water was measured.Results:The average energy of X-rays at 3 cm in air was 20.8 keV, with a half-value layer of 0.08 mm Al. Under the influence of the applicator, the spectrum becomes hardened, with axial and radial average energies of 28.7 and 29.0 keV, respectively. In water, the percentage depth dose (PDD) curve follows an inverse cubic decay with depth, indicating strong dose concentration and rapid fall-off in near-field irradiation. The radial dose uniformity in water exceeded 99.5%.Conclusions:The INTRABEAM device emits low-energy X-rays characterized by shallow penetration depth, and concentrated dose delivery. Its highly uniform dose distribution ensures comprehensive coverage of the target area, making it particularly suitable for treating superficial tumors and for intraoperative radiotherapy at close range.

In recent years,the incidence and mortality of malignant tumors have been increasing year by year,becoming a se-rious challenge to global public health.Unlike traditional treatment methods,tumor immunotherapy activates the body's own immune system to against tumors,and has significant advantage such as minimal side effects,long-lasting efficacy,and strong targeting.Howev-er,immunotherapy also has issues such as frequent adverse reactions and high treatment costs.In order to enhance the efficacy of im-munotherapy,some phytochemicals are used in the field of immunotherapy as modulators.These phytochemicals not only increase the sensitivity of tumor cells to immune cells,but also reduce the expression of immune checkpoint proteins.Therefore,this article provides a review of phytochemicals that play an important role in tumor immunotherapy and their related mechanisms of action.

Influenza is an acute respiratory infection caused by influenza viruses (IFV), According to the World Health Organization (WHO), seasonal IFV epidemics result in approximately 3-5 million cases of severe illness, leading to about half a million deaths worldwide, along with severe economic losses and social burdens. Unfortunately, frequent mutations in IFV lead to a certain lag in vaccine development as well as resistance to existing antiviral drugs. Therefore, it is of great importance to develop anti-IFV drugs with high efficiency against wild-type and resistant strains, needed in the fight against current and future outbreaks caused by different IFV strains. In this review, we summarize general strategies used for the discovery and development of antiviral agents targeting multiple IFV strains (including those resistant to available drugs). Structure-based drug design, mechanism-based drug design, multivalent interaction-based drug design and drug repurposing are amongst the most relevant strategies that provide a framework for the development of antiviral drugs targeting IFV.

Abstract Oral health problems is one of major public health problems that threatens children s overall health. Children s oral health is closely related to family parenting styles. Currently, grandparenting is becoming increasingly common in China, and its impact on children s oral health should not be underestimated. This article reviews the impacts of the oral health knowledge level, behavior habits, gender, socioeconomic status, and other factors related to grandparenting on children s oral health, in order to reduce the negative impact of grandparenting involvement on children s oral health, and to provide theoretical basis and guidance.

OBJECTIVE：To establish the metho d for the content determination of 8 nucleosides in wild and cultivated Pinellia ternate，and to conduct the difference analysis. METHODS ：The contents of uracil ，uridine，inosine，xanthine，adenine， guanosine，β-thymidine and adenosine in 20 batches of P. ternate （wild product YS 1-YS8，cultivated product ZP 1-ZP12）were determined by HPLC method. Based on the contents of the above 8 nucleosides，cluster analysis ，principal component analysis （PCA），partial least squares analysis （OPLS-DA）were used to comprehensively evaluate the wild and cultivated P. ternata . RESULTS：The contents of uracil ，uridine，inosine，xanthine，adenine，guanosine，β-thymidine and adenosine in 20 batches of P. ternate were 0.02-0.24，0.01-0.24，0.06-0.37，0.02-0.14，0.04-0.22，0.14-0.42，0.01-0.09，0-0.32 mg/g，respectively. Cluster analysis，PCA and OPLS-DA showed that 8 batches of wild P. ternate （YS1-YS8）were clustered into one category ，and 12 batches of cultivated P. ternate （ZP1-ZP12）were clustered into one category. Main characteristic markers of wild P. ternate were guanosine，uridine，adenosine and adenine ，while the main characteristic markers of cultivated P. ternate were urinine ，xanthine， inosine，and β-thymidine. CONCLUSIONS：The method for the content determination of 8 nucleosides in P. ternate is established. Nucleosides as quality markers can effectively distinguish wild and cultivated P. ternata ，and the quality of the wild P. ternate was better than that of cultivated P. ternate .

Objective: To evaluate the risk factors of postoperative upgrade to pT₃a of cT₁ renal cell carcinoma, and to establish a nomogram prediction model to improve the ability of predicting locally advanced renal cell carcinoma and provide a reference for clinical surgical decision-making. Methods: Clinical data of 1 376 patients with cT₁ (diameter ≤ 7 cm) renal tumor hospitalized for surgery from January 2010 to December 2016 were retrospectively analyzed. There were 979 males and 397 females, with the mean age of (57.65±10.92) years. The mean body mass index (BMI) was (25.47±3.27) kg/m² and the average tumor size was (4.02±1.52) cm. There were 711 tumors on the left and 665 on the right. There were 363 cases with clinical symptoms, 567 patients with smoking history , 732 cases with history of chronic disease. There were 289 cases with tumor necrosis, 636 cases with tumor protrusion, 822 cases with irregular tumor , and 738 cases with renal sinus compression. Partial nephrectomy and radical nephrectomy were performed in 396 cases and 980 cases respectively. Mann-whitney U test and chi-square test were used for univariate analysis, logistic regression analysis was used for multivariate analysis to analyze the predictors of upgrading, R software was used to construct the nomogram predictive model, C-index was used to evaluate the model discrimination, and calibration curve method was used to evaluate the consistency of the model. Results: Postoperative pathology of total 1 376 cases showed that there were 1 195 cases of clear cell carcinoma of kidney, 48 cases of papillary cell carcinoma, 57 cases of chromophobe cell carcinoma, and 76 cases of other types. Among the 1 376 patients with cT₁ renal tumor, 75 patients were upgraded to pT_3a, accounting for 5.5% of all patients. Univariate analysis showed that the patients who upgraded to pT_3a were older [(63.08±10.17) years old and (57.34±10.88) years old], and the tumor length and diameter were larger [(5.24±1.35) cm and (3.95±1.51) cm]. Patients with clinical symptoms [46.7% (35/75) vs. 25.2%(328/1 301)], patients with CT indication of tumor necrosis [40.0%(30/25 975) vs. 19.9% (259/1 301)], patients with irregular tumor contour [73.3%(55/76 775) vs. 59.0%(767/1 301)], and patients with radical nephrectomy were higher [(92.1% (70/91 075) vs. 70%(910/1 301)]. All the differences were statistically significant (P<0.01). Multivariate analysis showed that the independent predictors of upgrading were age (OR=1.046, P<0.001), larger tumor (OR=1.504, P<0.001), clinically symptom (OR=2.153, P=0.004), irregular tumor profile (OR=2.466, P=0.002), and tumor necrosis on CT (OR=2.588, P<0.001). The C-index was 0.808, the calibration curve of forecasting curve with the standard curve fit was good, and the prediction of renal cancer are better in predict consistency. Conclusions Based on the five preoperative predictors, including age, tumor size, clinical presence or absence of symptoms, tumor profile, and whether or not the tumor necrosis indicated by CT, this study developed a nomogram of cT₁ renal cancer upgrade to pT_3a. This nomogram has a good statistical significance, and this model can provide prognosis consultation for patients and provide reference for doctors to make decisions before treatment.