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.

Objective:To evaluate the screw placement guided by C-arm computer navigation in the fixation and fusion of instability of the atlantoaxial joint using atlantoaxial pedicle screws.Methods:A retrospective study was conducted to analyze the clinical data of 30 patients who had been treated for atlantoaxial instability by pedicle screw fixation and fusion at Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University from October 2020 to November 2022. The patients were divided into 2 groups according to whether the C-arm computer navigation system had been used to assist their screw placement. In the observation group, there were 12 patients [9 males and 3 females with an age of (55.6±7.3) years] whose screw placement was assisted by C-arm computer navigation; in the control group, there were 18 patients [13 males and 5 females with an age of (52.4±8.1) years] whose screw placement was assisted by conventional X-ray fluoroscopy. The 2 groups were compared in terms of surgery time, intraoperative bleeding volume, intraoperative fluoroscopy time, incidence of postoperative complications, and neck disability index (NDI) and visual analogue scale (VAS) at 3 months after surgery.Results:The 2 groups were comparable because there were no significant differences in the preoperative general data between them ( P>0.05). All the 30 patients were followed up for (23.8±6.1) months after surgery. The surgery time, intraoperative fluoroscopy time, and intraoperative bleeding volume in the observation group were significantly shorter or smaller, respectively, than those in the control group [(109.5±19.3) min versus (135.6±23.2) min; (43.5±11.7) s versus (68.8±24.5) s; (240.6±65.8) mL versus (320.4±95.6) mL)] ( P<0.05). No vascular or neural injuries or other complications occurred in any of the patients. There was no statistically significant difference between the observation group and the control group in the NDI or VAS pain score at 3 months after surgery [(18.6±7.3) points versus (20.4±9.3) points; (1.6±0.6) points versus (1.4±0.5) points] ( P>0.05). Follow-ups observed no loosening or breakage of implants, no recurrence of instability of the atlantoaxial joint, or no nonunion of the bone grafts. Conclusion:In the treatment of atlantoaxial instability with atlantoaxial pedicle screw fixation and fusion, compared with conventional X-ray fluoroscopy guidance, the screw placement guided by C-arm computer navigation can result in the same therapeutic efficacy but shorter surgery time, less intraoperative blood loss and less radiation exposure.

Autophagy is the main degradation and recycling pathway for abnormal aggregates and damaged organelles in cells,and it maintains the normal metabolic balance and material renewal in cells.Autophagy has neuroprotective effects and can affect the functional state of the nervous system by regulating homeostasis,development,apoptosis,and other physiological processes of neurons and glial cells.In recent years,a large number of studies have shown that nervous system diseases are closely related to abnormal autophagy,and inhibition or overactivation of autophagy affects the occurrence and development of depression,neurodegenerative diseases,and schizophrenia.Understanding the mechanisms of autophagy in nervous system diseases is of great significance for their prevention and treatment.This paper mainly reviews the current progress of autophagy research and the above diseases of the nervous system,providing a reference for further research into these diseases.