Objective: To explore the intra class transmission pattern of acute hemorrhagic conjunctivitis (AHC) among students, so as to provide a basis for formulating precise prevention and control strategies. Methods: The data of AHC students in 2023 was obtained from the teacher-student health information module of the "Xiamen i-Education" platform. Taking the onset date from January 1st to December 31st, 2023 as the search criteria, the epidemiological data of confirmed AHC cases among students in the whole city in 2023 was collected. And the Knox test method was employed to quantify cluster risk at the class level. Subgroup comparisons were conducted to examine differences in cluster risk between academic stages and gender combinations. Cross analysis was performed to investigate the interactive effects of two characteristics on cluster risk. Results: In 2023, 708 cases of AHC students were reported in Xiamen, among which 54 class clustered outbreaks were identified. These outbreaks accounted for 40.54% of total cases. Among them, the incidence of class clustered outbreaks with male first onset cases was higher than that with female first onset cases ( χ 2=4.55, P <0.05). The class cluster risk was at a relatively high level within the incubation period (0-2 d) after AHC onset ( RR =4.61-6.43, P <0.05). Subgroup analysis revealed that female-female case pairs had a higher class cluster risk ( RR = 4.81- 10.29) compared to other gender combinations ( P <0.05). Primary school case pairs showed a higher risk ( RR =4.60-6.77) than middle school case pairs ( RR =3.85-4.57) (both P <0.05). Cross analysis indicated that primary school and female-female combinations had a higher risk ( RR =4.70-11.24) than other combinations, while middle school and male-female combinations showed a positive interaction ( RR =3.68-6.68)(both P <0.05). Conclusions AHC infection among students is primarily transmitted within classes. Gender and educational stage are key demographic factors influencing class cluster transmission risks. Transmission risks should be assessed by analyzing population characteristics and contact patterns, and targeted interventions should be implemented.

Objective:To explore the influencing factors of evacuation associated pulmonary edema (WIPE) in patients with mechanical ventilation of cardiogenic respiratory failure, and to build a risk warning model based on independent influencing factors.Methods:A total of 220 patients with cardiogenic respiratory failure who were treated and received mechanical ventilation in Chengbei Campus of Hangzhou First People′s Hospital from April 2021 to December 2023 were retrospectively selected by cross-sectional investigation method, and were divided into WIPE group (34 cases) and non WIPE group (186 cases) according to whether the patients had WIPE or not. Clinical data of the patients were analyzed using the hospital electronic medical record system. The influencing factors of WIPE were determined by univariate analysis and multivariate Logistic regression analysis, and the risk early warning model was constructed based on regression analysis. The corresponding nomogram was drawn by R language software, and the predictive efficiency of the model was tested by receiver operating characteristic curve and calibration curve.Results:WIPE group included 18 males and 16 females, aged (65.12±9.28) years. Non WIPE group included 107 males and 79 females, aged (60.25±8.40) years. Multivariate Logistic regression analysis showed that age ( OR=1.072), smoking history ( OR=3.412), acute physiology and chronic health evaluationⅡ( OR=1.184), cardiac function classification ( OR=4.043), shallow rapid breathing index ( OR=1.100), mechanical ventilation time ( OR=1.540), hypertension ( OR=4.903), left ventricular diastolic dysfunction ( OR=5.151) and chronic obstructive pulmonary disease ( OR= 5.536) were independent influencing factors (all P < 0.05). The area under the curve of the risk early warning model constructed based on the above 9 independent influencing factors was 0.938, and the sensitivity and specificity corresponding to the optimal cutoff value of 0.620 were 0.971 and 0.801, respectively, indicating good differentiation ability. The calibration curve results show that the average absolute error was 0.020, the calibration curve fits the ideal curve, and the model calibration performance was good. Conclusions:WIPE in patients with cardiogenic respiratory failure induced by mechanical ventilation is affected by cardiac function status, mechanical ventilation parameters and other factors. The risk early warning model based on the above 9 independent influencing factors has good predictive efficacy, and can provide reference for clinical prevention of WIPE.

Objective:To investigate the correlation between oral cleanliness and secondary Pulmonary infection in patients with severe chronic obstructive pulmonary disease (COPD) in mechanical ventilation, and to investigate the predictive effect of oral cleanliness on the risk of secondary pulmonary infection.Methods:Using the cross-sectional survey method, the purposeful sampling method was adopted to select 216 patients with severe COPD who were hospitalized in Hangzhou First People′s Hospital from June 2020 to December 2023 and received mechanical ventilation. The oral cleanliness index and general clinical data of patients at admission were collected using the hospital electronic medical record system. The independent influencing factors of secondary lung infection were analyzed by univariate analysis and multivariate Logisitic regression. The predictive value of oral cleanliness index on secondary lung infection was analyzed by patient operating characteristic (ROC) curve.Results:216 patients with severe COPD who underwent mechanical ventilation were included.Patients aged 37-84 (66.81 ± 8.98) years were included, including 125 males and 91 females.Among them, 89 cases developed secondary pulmonary infection, with an infection rate of 41.20%.Univariate analysis and multivariate Logistic regression analysis showed that, Beck Oral Rating Scale (BOAS) score ( OR = 1.371), visual simulation score of oral odor ( OR = 1.405), gum index ( OR = 3.508), plaque index ( OR = 14.357), smoking history ( OR = 6.772), duration of disease ( OR = 1.391), COPD assessment test score ( OR = 1.269) and mechanical ventilation time ( OR = 1.302) were independent factors for secondary pulmonary infection (all P<0.05). ROC curve analysis showed that oral cleanliness index combined with infection prediction was effective (the area under the ROC curve was 0.833) . Conclusions:Oral cleanliness was closely related to secondary pulmonary infection in patients with severe COPD with mechanical ventilation. BOAS score, visual simulation score of oral odor, gingival index and plaque index could predict secondary pulmonary infection independently, and combined test could predict secondary pulmonary infection.

Objective:To explore the influencing factors of evacuation associated pulmonary edema (WIPE) in patients with mechanical ventilation of cardiogenic respiratory failure, and to build a risk warning model based on independent influencing factors.Methods:A total of 220 patients with cardiogenic respiratory failure who were treated and received mechanical ventilation in Chengbei Campus of Hangzhou First People′s Hospital from April 2021 to December 2023 were retrospectively selected by cross-sectional investigation method, and were divided into WIPE group (34 cases) and non WIPE group (186 cases) according to whether the patients had WIPE or not. Clinical data of the patients were analyzed using the hospital electronic medical record system. The influencing factors of WIPE were determined by univariate analysis and multivariate Logistic regression analysis, and the risk early warning model was constructed based on regression analysis. The corresponding nomogram was drawn by R language software, and the predictive efficiency of the model was tested by receiver operating characteristic curve and calibration curve.Results:WIPE group included 18 males and 16 females, aged (65.12±9.28) years. Non WIPE group included 107 males and 79 females, aged (60.25±8.40) years. Multivariate Logistic regression analysis showed that age ( OR=1.072), smoking history ( OR=3.412), acute physiology and chronic health evaluationⅡ( OR=1.184), cardiac function classification ( OR=4.043), shallow rapid breathing index ( OR=1.100), mechanical ventilation time ( OR=1.540), hypertension ( OR=4.903), left ventricular diastolic dysfunction ( OR=5.151) and chronic obstructive pulmonary disease ( OR= 5.536) were independent influencing factors (all P < 0.05). The area under the curve of the risk early warning model constructed based on the above 9 independent influencing factors was 0.938, and the sensitivity and specificity corresponding to the optimal cutoff value of 0.620 were 0.971 and 0.801, respectively, indicating good differentiation ability. The calibration curve results show that the average absolute error was 0.020, the calibration curve fits the ideal curve, and the model calibration performance was good. Conclusions:WIPE in patients with cardiogenic respiratory failure induced by mechanical ventilation is affected by cardiac function status, mechanical ventilation parameters and other factors. The risk early warning model based on the above 9 independent influencing factors has good predictive efficacy, and can provide reference for clinical prevention of WIPE.

Objective:To investigate the correlation between oral cleanliness and secondary Pulmonary infection in patients with severe chronic obstructive pulmonary disease (COPD) in mechanical ventilation, and to investigate the predictive effect of oral cleanliness on the risk of secondary pulmonary infection.Methods:Using the cross-sectional survey method, the purposeful sampling method was adopted to select 216 patients with severe COPD who were hospitalized in Hangzhou First People′s Hospital from June 2020 to December 2023 and received mechanical ventilation. The oral cleanliness index and general clinical data of patients at admission were collected using the hospital electronic medical record system. The independent influencing factors of secondary lung infection were analyzed by univariate analysis and multivariate Logisitic regression. The predictive value of oral cleanliness index on secondary lung infection was analyzed by patient operating characteristic (ROC) curve.Results:216 patients with severe COPD who underwent mechanical ventilation were included.Patients aged 37-84 (66.81 ± 8.98) years were included, including 125 males and 91 females.Among them, 89 cases developed secondary pulmonary infection, with an infection rate of 41.20%.Univariate analysis and multivariate Logistic regression analysis showed that, Beck Oral Rating Scale (BOAS) score ( OR = 1.371), visual simulation score of oral odor ( OR = 1.405), gum index ( OR = 3.508), plaque index ( OR = 14.357), smoking history ( OR = 6.772), duration of disease ( OR = 1.391), COPD assessment test score ( OR = 1.269) and mechanical ventilation time ( OR = 1.302) were independent factors for secondary pulmonary infection (all P<0.05). ROC curve analysis showed that oral cleanliness index combined with infection prediction was effective (the area under the ROC curve was 0.833) . Conclusions:Oral cleanliness was closely related to secondary pulmonary infection in patients with severe COPD with mechanical ventilation. BOAS score, visual simulation score of oral odor, gingival index and plaque index could predict secondary pulmonary infection independently, and combined test could predict secondary pulmonary infection.

Background/Aims: Ubiquitination is widely involved in the progression of hepatocellular carcinoma (HCC) by regulating various cellular processes. However, systematic strategies for screening core ubiquitin-related genes, clarifying their functions and mechanisms, and ultimately developing potential therapeutics for patients with HCC are still lacking. Methods: Cox and LASSO regression analyses were performed to construct a ubiquitin-related gene prediction model for HCC. Loss- and gain-of-function studies, transcriptomic and metabolomics analysis were used to explore the function and mechanism of UBE2S on HCC cell glycolysis and growth. Results: Based on 1,423 ubiquitin-related genes, a four-gene signature was successfully constructed to evaluate the prognosis of patients with HCC. UBE2S was identified in this signature with the potential to predict the survival of patients with HCC. E2F2 transcriptionally upregulated UBE2S expression by directly binding to its promoter. UBE2S positively regulated glycolysis in a HIF-1α-dependent manner, thus promoting the proliferation of HCC cells. Mechanistically, UBE2S enhanced K11-linkage polyubiquitination at lysine residues 171 and 196 of VHL independent of E3 ligase, thereby indirectly stabilizing HIF-1α protein levels by mediating the degradation of VHL by the proteasome. In particular, the combination of cephalomannine, a small molecule compound that inhibits the expression of UBE2S, and PX-478, an inhibitor of HIF-1α, significantly improved the anti-tumor efficacy. Conclusions UBE2S is identified as a key biomarker in HCC among the thousands of ubiquitin-related genes and promotes glycolysis by E3 enzyme-independent ubiquitination, thus serving as a therapeutic target for the treatment of HCC.

Objective:To investigate the effect of Hong's One Stitch Method in pancreaticoduodenectomy(PD).Methods:A total of 40 patients who underwent PD in our hospital from Jan 2021 to Dec 2022 were divided into two groups according to random number table method,with 20 patients in each group.The control group was treated with end to end pancreatojejunal anastomosis,and the observation group was treated with"Hong's One Stitch Method".The perioperative indicators,complications,secondary surgery,mortality and quality of life were compared between the two groups.Results:The pancreatoenteroanastomosis time,operation time and hospitalization time in the observation group were shorter than those in the control group,and the incidence of pancreatic fistula was lower than that in the control group(P＜0.05).There were no significant differences in intraoperative blood loss,pancreatic biochemical leakage,bile fistula,hemorrhage,localized abdominal infection,gastric emptying obstruction,pulmonary infection,secondary surgery and mortality between the two groups(P＞0.05).The mental health score,emotional function score,social function score,energy score,general health status score,body pain score,and physiological function score in the observation group were higher than those in the control group(P＜0.05).Conclusion:In PD surgery,the application of"Hong's One Stitch Method"to perform pancreatoenterostomy is beneficial to shorten the pancreatoenterostomy time,operation time and hospitalization time,accelerate the postoperative recovery,reduce the incidence of pancreatic fistula,and improve the quality of life of patients.