中华预防医学杂志最新文献

Objective: To evaluate the disinfection effect of high-energy pulsed ultraviolet disinfection equipment in high-speed rail carriages. Methods: Three high-speed rail trains were selected as the research sites in this study. Samples were collected from 180 high-frequency contact points before and after disinfection. The contact points included armrests, tabletops, and grab handles, with a total of 360 samples. A total of three on-site experiments were conducted, using two disinfection methods: 400 mg/L chlorine-containing disinfectant and high-energy pulsed ultraviolet disinfection equipment. The disinfection effects of the two methods were compared across different samples and seats. Results: The bacterial eradication rate of both the 400 mg/L chlorine-containing disinfectant and high-energy pulse ultraviolet disinfection equipment was 100%, with no statistically significant difference observed between the two methods (U=4 018, P=0.892). Similarly, the bacterial eradication rate for high-touch surfaces, including armrests, tabletops, and grab handles, was 100%, with no statistically significant differences detected among these samples (H=4.853, P=0.088). Furthermore, the bacterial eradication rate across different seats was consistently 100%, and the differences among these seats were also not statistically significant (H=9.317, P=0.054). Conclusion: The high-energy pulsed ultraviolet disinfection equipment has a comparable disinfection effect to traditional chlorine-containing disinfectants. High-energy pulsed ultraviolet disinfection equipment can achieve a good disinfection effect across different samples and seats, and has good health economic value and application prospects in the disinfection of closed and unoccupied public environments.

To evaluate the diagnostic performance of a three-gene (GBP5, DUSP3, and TBP) tuberculosis (TB) score in bacteriologically-negative pulmonary tuberculosis, and to develop and validate a discriminative diagnostic model by integrating inflammatory cytokines (IL-2, IL-5, IL-17, and IFN-γ). A prospective cohort study was conducted, a total of 238 patients admitted to the Affiliated Infectious Disease Hospital of Soochow University from May 2023 to May 2024 were enrolled, including 119 pathogen-negative pulmonary tuberculosis patients and 119 patients with other pulmonary diseases (OPD). The GeneXpert MTB-HR kit was used to detect the three-gene TB scores from residual blood routine samples. The diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. Concurrent data on 12 inflammatory cytokines were collected from patients. Potential biomarkers were screened using univariate analysis and multivariate logistic regression, and selected features were incorporated into the construction of four machine learning models: logistic regression, support vector machine (SVM), K-nearest neighbors (KNN), and adaptive boosting (AdaBoost). The samples were randomly split into a training set (85%) and a test set (15%). The models were trained on the training set, and their diagnostic performance was validated using the test set. The predictive ability of each model was evaluated based on ROC curve parameters. The results showed that the three-gene TB score alone yielded an AUC of 0.539 (sensitivity: 50.94%, specificity: 60.50%) in distinguishing pathogen-negative pulmonary tuberculosis from OPD. Four non-col-linear inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) were selected and combined with the three-gene TB score to construct machine learning models. The AdaBoost model demonstrated the best performance, achieving an AUC of 0.893 (sensitivity: 85.4%, specificity: 73.0%) in the training set and an AUC of 0.873 (sensitivity: 88.2%, specificity: 72.2%) in the test set. In conclusion,the AdaBoost diagnostic model integrating the three-gene TB score with inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) exhibits superior discriminating performance for pathogen-negative pulmonary tuberculosis compared to OPD, significantly outperforming the three-gene TB score alone.

Objective: To develop CNN-Dinov2, a deep learning-based automatic classification model for Gram-stained images, enabling rapid diagnosis of three prevalent Gram-negative bacilli in bloodstream infections: Escherichia coli (E.coli), Klebsiella pneumoniae (K.pneumoniae), and Pseudomonas aeruginosa (P.aeruginosa). Methods: This evaluation study analyzed 1 425 Gram-stained microscopic images from patients with bloodstream infections at Houjie Hospital, in Dongguan City, collected between January 2023 and January 2024. The images, all positive for blood culture and identified as target strains, were categorized into Escherichia coli (419 images), Klebsiella pneumoniae (411 images), Pseudomonas aeruginosa (413 images), and other Gram-negative bacilli (182 images). They were randomly split into a training set (1 141 images), a validation set (141 images), and a test set (143 images) in an 8∶1∶1 ratio. A hybrid CNN-Dinov2 model was developed by integrating ResNet's local feature extraction with Dinov2's global pre-trained features, followed by a fully connected layer. The model was optimized by inputting the preprocessed images and adjusting parameters through loss calculation and backpropagation. AlexNet, Dinov2, and ResNet18 served as control models. The models' classification performance was assessed using accuracy, precision, weighted F1 score, and recall rate, derived from the confusion matrix. The PR curve and AP value further evaluated each model's classification capability across the four image categories. Results: The CNN-Dinov2 model achieved a training accuracy of 99.74%, a validation accuracy of 98.12%, and a validation loss of 0.070 6, demonstrating robust generalization without overfitting. Validation metrics revealed superior performance with an accuracy of 98.60%, precision of 98.65%, a weighted F1 score of 98.60%, and a recall rate of 98.60%, outperforming other models. The confusion matrix confirmed its strong classification capability, with the highest sum of diagonal values for identifying four types of bacteria. The macro average precision (AP) values under the precision-recall (PR) curves were all 1, indicating excellent discrimination across all categories. Overall, the CNN-Dinov2 model exhibited the best performance among the four models evaluated. Conclusion: This study successfully developed CNN-Dinov2, an automated classification model for Gram staining images. It offers valuable support for the rapid diagnosis of bloodstream infections caused by Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, demonstrating practical utility.

Objective: To construct a questionnaire to measure parents' behavioral and social drivers (BeSD) in administering rotavirus vaccine to their children, and to test the reliability and validity of the questionnaire. Methods: A questionnaire was constructed to investigate the BeSD of rotavirus vaccination among parents based on the WHO BeSD questionnaire. A survey was conducted among parents of children aged 0-3 years old in vaccination clinics from 15 community health service centers in Nanjing City of Jiangsu Province, Yuhuan and Kaihua Counties of Zhejiang Province, Anqing City of Anhui Province, and Yangpu District of Shanghai City from April to May in 2024. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to analyze the reliability (internal consistency reliability, combination reliability and split half reliability) and validity (structural validity, convergence validity and discriminative validity) of the questionnaire. Results: A total of 850 questionnaires were collected, of which 614 were valid, with an effective response rate of 72.20%. The EFA resulted in the refinement of the rotavirus vaccine BeSD questionnaire from 37 to 35 items (including 24 core items), and suggested a five-factor structure including the perceptions of vaccine, confidence in vaccine, social process of vaccination, motivation for vaccination, and practical problems of vaccination. The cumulative variance contribution rate reached 56.27%. The CFA confirmed an ideal five-factor model fit (GFI=0.82,CFI=0.86,PNFI=0.67,RMSEA=0.07). The AVE of each dimension was greater than 0.50. The AVE square root of each dimension of the questionnaire was greater than its correlation coefficient. The Cronbach's α coefficient of the total questionnaire was 0.79. Conclusion: The developed BeSD questionnaire of rotavirus vaccine has good reliability and validity, and can be used to measure parents' behavioral and social factors in administering rotavirus vaccine to their children.

To clarify the epidemiological characteristics of pertussis in children in Hanzhong during the nationwide surge in pertussis, this study retrospectively collected nucleic acid testing data of 4 565 children with pertussis from a tertiary hospital in Hanzhong City from September 2023 to August 2024, and collected demographic and clinical information of confirmed cases for analysis. The results showed that among 4 565 cases tested, there were 1 224 positive cases for pertussis nucleic acid testing, with a total positive rate of 26.81%. Since September 2023, the number of tests and positive cases had continuously increased, reaching a peak in May 2024, with 1 174 samples tested and 319 positive cases. Notably, the number of confirmed cases from April to July 2024 accounted for 82.03% (1 004/1 224) of the total confirmed cases during the study period. Among the 1 224 confirmed cases of pertussis, there were 647 male patients (52.86%) and 577 female patients (47.14%). The highest proportion of cases was found in school-age and preschool children, accounting for 88.81% (1 087/1 224). Among outpatients, school-age and preschool children accounted for 93.44% (897/960), while inpatient cases were mainly preschool, school-age children, and infants (94.32%, 249/264). The positive detection rates of outpatient and inpatient children in the same age group were compared. Except for the infant group, the positive rates of the other four groups were higher than those of the inpatient group (all P<0.05). Among 264 hospitalized children with pertussis, 70 cases (26.52%, 70/264) were infected with Bordetella pertussis alone, and 194 cases (73.48%, 194/264) had co-infections with other pathogens. Rhinovirus, Mycoplasma pneumoniae, and Staphylococcus aureus were the most common pathogens in co-infections.

This study aims to compare the vaccination rates and incidence of adverse reaction rates following administration of two domestically produced human papillomavirus (HPV) vaccines in individuals aged 9-30 years,investigate the impact of distinct manufacturing processes and vaccination schedules on adverse reaction rates. From November 2023 to June 2024, the Immunization Planning Department of Liuzhou Center for Disease Control and Prevention conducted a single-center, randomized, open-label, parallel-group trial using community-based recruitment of eligible participants aged 9 to 30 years. Participants were randomly assigned to receive either of two domestically produced HPV vaccines (Walrinvax or Cecolin). As specified in the vaccine package inserts, subjects were stratified into a two-dose regimen group (aged 9-14 years) and a three-dose regimen group (aged 15-30 years). Vaccination rates were recorded, and adverse reactions within 0-30 days post-vaccination were monitored. The results showed that a total of 400 participants were enrolled. Both the full vaccination rate and the timely completion rate were significantly higher in the two-dose regimen group compared to the three-dose regimen group (Fisher's exact test, P<0.01; χ²=7.06, P<0.01). A total of 985 doses were administered. The overall adverse reaction rate was 18.78% (185/985), with local and systemic reactions occurring at 8.02% (79/985) and 10.76% (106/985), respectively. The most frequent adverse reactions were injection site pain (4.97%, 49/985) and fever (4.47%, 44/985). No grade 4 or special-interest adverse events were reported.The incidence of adverse reactions for the two domestic HPV vaccines with different production processes (at 0/6 months) was 13.96% (55/394) and 17.46% (69/395) respectively, with no statistically significant difference (χ²=1.83, P>0.05).The adverse reaction rate was significantly lower in the 9-14 years group (9.77%) compared the 15-30 years group (24.91%)(χ²=35.67,P<0.01). In conclusion, both domestic HPV vaccines demonstrated a favorable safety profile in the 9-30 years age group, with mostly mild adverse reactions. Compared to the three-dose schedule (15-30 years group), the two-dose HPV vaccination schedule (9-14 years group) significantly reduced the incidence of adverse reactions and improved vaccination compliance.

The clinical diagnosis of serious mental illnesses (SMI) has long been constrained by the limitations of traditional symptomatic criteria and the absence of objective biological markers. Exosomes, serving as natural nanocarriers capable of crossing the blood-brain barrier, along with the miRNAs they carry, offer novel molecular markers for the precise diagnosis of SMI. This article summarizes recent research advances on exosomes in schizophrenia, schizoaffective disorder, bipolar disorder, and major depressive disorder, exploring the potential mechanisms by which they participate in the regulation of neuroinflammation and synaptic dysfunction through the delivery of miRNA molecules. Although the specific origins and monitoring of exosomes require further investigation, their value in assisting the diagnosis of psychiatric disorders is increasingly being recognized, holding promise for providing more objective references for clinical practice in the future.

Objective: To explore the association between the systemic immune-inflammation index (SII) and obesity metabolic phenotypes, as well as metabolic features in children and adolescents. Methods: A cross-sectional study was conducted using the random cluster sampling method from March 2023 to May 2024. Children and adolescents aged 9-17 years in Guangzhou were surveyed through questionnaires, physical measurements, and blood tests. According to BMI and metabolic status, participants were classified into normal-weight groups [metabolically healthy normal weight (MHNW) and metabolically unhealthy normal weight (MUNW)] and overweight/obese groups [metabolically healthy overweight/obese (MHO/O) and metabolically unhealthy overweight/obese (MUO/O)]. After natural log-transformation of SII values (lnSII), multinomial logistic regression was used to assess the association between SII and obesity metabolic phenotypes, while binary logistic regression was applied to assess the relationship between SII and metabolic phenotypes in the overweight/obese subgroup. Linear regression model and restricted cubic spline (RCS) were employed to examine the relationship between SII and metabolic features among the entire population. Results: A total of 3 749 participants were included. After adjusting for covariates, for every unit increase in lnSII, the risk of MHO/O and MUO/O increased by 93% (OR=1.93, 95%CI: 1.56-2.40, P<0.001) and 156% (OR=2.56, 95%CI: 2.02-3.25, P<0.001), respectively. In the overweight/obesity subgroup, for every unit increase in lnSII, the risk of MUO/O increased by 37% (OR=1.37, 95%CI: 1.01-1.87, P=0.045). Linear regression model and RCS showed that lnSII was positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) (SBP: β=1.39, 95%CI: 0.67-2.11, P<0.001; DBP: β=1.27, 95%CI: 0.79-1.75, P<0.001). lnSII also had a non-linear relationship with triglyceride (P_nonlinear=0.032) and high-density lipoprotein cholesterol (P_nonlinear=0.002). Conclusion: Elevated SII levels are associated with unfavorable obesity metabolic phenotypes, higher blood pressure, and altered lipid profiles in children and adolescents. SII may be a potential driving factor for metabolic heterogeneity in children and adolescents.