Objective:To investigate the safety of the tetravalent meningococcal conjugate vaccine (MPCV-ACYW) in combination with the inactivated poliomyelitis (IPV) vaccine and diphtheria-tetanus-acellular pertussis (DTaP) vaccine for infants aged 3-5 months and provide real-world evidence for the immunization strategy of vaccine combination.Methods:From June to October 2023, a total of 600 3-month-old infants were selected and divided into three groups: control group, mono-vaccination group and combined vaccination group. They were simultaneously or individually vaccinated with MPCV-ACYW, IPV and DTaP vaccines at 3, 4, and 5 months of age, respectively. The incidence rate of adverse reactions within 30 days after each dose was observed.Results:All 600 infants completed at least one vaccination and entered the safety data analysis. The age of the control group (100 infants), the mono-vaccination group (250 infants), and the combination group (250 infants) was (101.20±7.88), (102.26±7.94), and (102.35±7.76) days, respectively. The body lengths were (63.00±3.02), (62.55±3.06), and (63.14±4.02) cm, respectively. The body weights were (6.90±0.77), (6.86±0.94), and (6.99±0.95) kg, respectively. Boys accounted for 49%, 50.4%, and 52.4%, respectively, with no statistically significant differences (all P>0.05). The overall incidence rates of adverse reactions in the control group, mono-vaccination group, and combined vaccination group were 4.00%, 2.80%, and 3.20%, respectively, with systemic adverse reaction rates of 3.00%, 2.40%, and 2.00%. The incidence rates of local adverse reactions were 1.00%, 0.40%, and 1.20%, with no statistically significant differences (all P>0.05). Adverse reactions were mainly grade 1, with incidence rates of grade 1 adverse reactions of 3.00%, 2.00%, and 1.60% in the three groups, and incidence rates of grade 2 adverse reactions of 1.00%, 0.80%, and 1.60%, respectively. No grade 3 or 4 serious adverse reactions occurred, and the differences were not statistically significant (all P>0.05). The adverse reaction symptoms of the three groups were mainly systemic reactions, among which fever and diarrhea symptoms were reported in individual cases in each group, with no statistically significant differences in the incidence rate (all P>0.05). The symptoms of adverse reactions were mostly transient and self-relieved, all of which were cured. Conclusion:The combination of MPCV-ACYW and IPV or DTaP vaccines is safe for infants aged 3-5 months.

A total of 1 159 measles cases were reported in Zhuhai City from 2005 to 2022, with an average annual incidence rate of 4.21/10 5 (0-30.51/10 5). The M( Q1, Q3) age of the cases was 6.10 years old (10 months,23.20 years old), with the youngest cases being 2 months and the oldest age of 55 years old. The distribution of cases by age group was as follows: individuals aged18 years and older (34.94%), 8-23 months (22.95%), 2-6 years old (16.74%), 7-17 years old(12.86%) and infants under 8 months (12.51%), respectively. The primary groups affected by the disease included scattered children, workers, and students. The regional distribution exhibited distinct clustering characteristics in urban areas or streets with a high concentration of the migrant population. Following the initiation of Measles-containing Vaccine Supplementary Immunization Activities (MCV SIA) in 2009, the incidence of measles in Zhuhai City has significantly decreased, and there is no evident seasonal distribution of cases.

Three throat swab samples from infants and young children in Hubei Province were identified as positive for enteroviruses. All subjects were one month old, and the onset of symptoms occurred in June; these cases were sporadic and exhibited no clear epidemiological associations. The results of VP1 gene amplification analysis indicated that all three infant cases were attributed to Echovirus 30 (ECHO30). The ECHO30 strain isolated from the three samples was classified as Cluster Ⅲ within the H gene subtype. Whole genome amplification analysis revealed that the ECHO30 strain from Hubei exhibited the highest homology with ECHO30/MW586892/Ashburton/17WQ2027G/USA/2007-08-20 from GenBank, demonstrating nucleotide and amino acid homologies of 97.6% and 99.3%, respectively. Recombination analysis indicated the presence of recombination events in the non-structural protein region of the ECHO30 Hubei strain, with recombinant fragments potentially originating from ECHO30/KY888274/14-397/Germany/2013 and ECHO18 strains Echo18/MN815811/BJ2018-S6363/Beijing/2018. This study provides a comprehensive analysis of the genetic evolution of the ECHO30 strain prevalent in Hubei Province, contributing essential data for the prevention of ECHO30 infections.

Objective:To investigate the impact of High Alcohol-Producing Klebsiella pneumoniae (HiAlc Kpn) on hepatocyte function and explore its regulatory mechanism from the perspective of epigenetic modifications. Methods:Using the HepG2 cell line as the research model, the study involved exposing the cells to alcohol and three different HiAlc Kpn strains in vitro, dividing them into a control group, alcohol-treated group, W8 group, 3-24 group, and 4-26 group. The effect of HiAlc Kpn on liver cell proliferation was investigated using the Incucyte live cell imaging system, and the apoptotic level of liver cells was determined using flow cytometry. The fluorescence confocal microscopy combined with live cell probes was used to detect lipid accumulation and intracellular ROS levels in liver cells. The amount of mitochondrial damage was determined using flow cytometry combined with the seahorse cell metabolism analyzer, and changes in protein levels undergoing global lactylation modification were investigated using Western blotting. Results:Compared with the control group, HiAlc Kpn strains W8, 3-24 and 4-26 could decrease the proliferation rate and increase the ratio of apoptosis of hepatocyte HepG2 cells. The results of high-content cell imaging showed that the fluorescence points of ROS enrichment in HepG2 cells were increased after HiAlc Kpn treatment. The lipid accumulation was significantly increased by oil red O and BODIPY staining. The number of oil droplets and fluorescence points was higher than those in the control group and alcohol treatment group. The results of flow cytometry showed that the ratio of JC-1 monomer/polymer was significantly increased after alcohol and three kinds of HiAlc Kpn were treated and the W8 treatment group was about six times higher than the control group ( P<0.05). Seahorse Energy Metabolism System′s mitochondrial pressure test results showed that the extracellular acidification degree and oxygen consumption rate were significantly reduced by the HiAlc Kpn 4-26 strain. Western blot analysis showed that the pan-lactylation modification level increased after high-concentration alcohol treatment and the increased rate of pan-lactylation modification in the 1 000 mmol/L alcohol group was about three times that of the control group. HiAlc Kpn W8 and 3-24 strains resulted in four or two-times pan-lactylation modification increases compared with the control group, and the differences were statistically significant ( P<0.05). Conclusion:HiAlc Kpn can induce lipid peroxidation in hepatic cells by regulating the increase in histone pan-lactylation modification levels, leading to mitochondrial damage, impaired cell proliferation capacity and increased apoptosis levels.

To explore the value of general information and rapid laboratory tests obtained from the emergency department in the early diagnosis and prevention of young patients with acute myocardial infarction and acute myocarditis, in order to prevent the disease from progressing to a critical stage. This study employs a retrospective observational study, compiling clinical data from young patients diagnosed with acute myocardial infarction or acute myocarditis who were admitted to the Department of Cardiology or Emergency Department of the Second Affiliated Hospital of Soochow University from January 2015 to September 2024. Demographic information and laboratory test results from both the outpatient and emergency departments were retrieved. The acute myocardial infarction group comprised 267 patients (257 males, 10 females) aged 23-44 ys, while the acute myocarditis group included 134 patients (93 males, 41 females) aged 18-44 ys. A comparative analysis of the clinical data between the two groups was conducted, encompassing variables such as age, gender, comorbidities, high-risk factors, emergency blood routine tests, high-sensitivity C-reactive protein levels, coagulation profiles, renal function tests, NT-proBNP levels, myocardial injury markers, electrocardiogram readings, blood pressure, and heart rate. The results showed that:Compared with the young myocarditis group, the myocardial infarction group was older (ys)[38(35, 42) vs 30(25, 37), U=7 893, P<0.001], more male [257(96.3%) vs 93(69.4%), χ2=57.95, P<0.001], more smoking [211(79.0%) vs 38(28.4%), χ2=97.32, P<0.001], drinking history [125(46.8%) vs 22(16.4%), χ2=35.51, P<0.001], family history of coronary heart disease [45(16.9%) vs 3(2.2%), χ2=18.09, P<0.001], hypertension [100(37.5%) vs 12(9.0%), χ2=36, P<0.001] and diabetes [42(15.7%) vs 4(3.0%), χ2=14.27, P<0.001]. Systolic blood pressure (mmHg)[126(114, 144) vs 119(101, 126), U=11 389.50, P<0.001], diastolic blood pressure (mmHg)[80(70, 93) vs 72(62, 81), U=12 220.50, P<0.001], total white blood cell count (10 9/L)[11.3(9.2, 14.1) vs 8.5(6.6, 11.2), U=10 825.50, P<0.001], hemoglobin (g/L)[157(147, 166) vs 143(129, 154), U=9 404.50, P<0.001], platelet count (10 9/L)[244(206, 297) vs 207(173, 253), U=11 680, P<0.001], uric acid (μmol/L)[380(315, 446) vs 347(265, 412), U=14 805.50, P=0.005], ST segment elevation [204(76.4%) vs 57(42.5%), χ2=73.03, P<0.001] and Q wave formation [76(28.5%) vs 17(12.7%), χ2=12.47, P<0.001] in ECG were higher than those in myocarditis group. The duration of onset (hs) [6(3, 25) vs 48(24, 73), U=27911, P<0.001], heart rate (beats/min)[82(74, 92) vs 92(78, 103), U=22 347, P<0.001], D-dimer (μg/ml)[0.23(0.17, 0.51) vs 0.61(0.30, 1.38), U=25 806, P<0.001], High-sensitivity troponin T/99th percentile upper reference limit [5(1, 36) vs 16(8, 39), U=22 577, P<0.001], NT-proBNP (pg/ml) [204(64, 644) vs 824(189, 4 043), U=25 134, P<0.001], C-reactive protein (mg/L)[6(3, 9) vs 24(6, 55), U=26 349.50, P<0.001] and body temperature (℃) [36.50(36.30, 36.60) vs 37.35(36.50, 38.50), U=26 961, P<0.001] were significantly lower than those in myocarditis group, the symptoms of chest pain in myocardial infarction group was significantly higher than those in myocarditis group [262(98.1%) vs 83(61.9%), χ2=97.24, P<0.001], and the history of prodromal infection [12(4.5%) vs 112(83.6%), χ2=261.26, P<0.001], syncope [11(4.1%) vs 18(13.4%), χ2=11.53, P<0.001] and shock [6(2.2%) vs 22(16.4%), χ2=27.59, P<0.001] in myocardial infarction group were significantly lower than those in myocarditis group. With acute myocardial infarction as the target outcome, 8 influencing factors selected by LASSO regression, and 5 independent influencing factors were found after multiple Logistic regression, those were age ( OR=1.21, 95% CI: 1.12-1.31; P<0.001), pre-infection ( OR=0.02, 95% CI: 0.01-0.06; P<0.001), body temperature ( OR=0.37, 95% CI: 0.18-0.77; P=0.008), chest pain ( OR=26.75, 95% CI: 5.87-121.81; P<0.001) and white blood cell count ( OR=1.27, 95% CI: 1.12-1.44; P<0.001). Younger age, high body temperature and pre-infection are independent predictors for acute myocarditis, while chest pain and elevated white blood cell count are independent predictors for acute myocardial infarction. The five influencing factors selected by multivariate logistic regression and their combined diagnostic model were subjected to ROC analysis. The AUC reached 0.969, sensitivity reached 0.940 and specificity reached 0.925. Calibration curve and decision curve analysis(DCA) demonstrate that the model possesses excellent clinical application value. In conclusion, age, chest pain, pre-infection, body temperature and white blood cell count were independent factors in distinguishing acute myocardial infarction and acute myocarditis in young people. The clinical differential diagnosis model based on 5 independent factors may has high efficiency and good clinical practicability.

Varicella, often referred to as chickenpox, is a widespread acute infectious condition triggered by the varicella-zoster virus (VZV). It manifests with systemic symptoms and distinct skin and mucosal eruptions, including macules, papules, and vesicles. Although it mainly affects children, the disease is typically more severe in teenagers and adults. Following the adoption of vaccine-based control measures in China, there has been a noticeable trend of varicella affecting older demographics, leading to an uptick in cases among teenagers and adults. This review synthesizes the latest research on the clinical symptoms, epidemiological trends, and immunization strategies for varicella in these age groups, both domestic and aboard. The goal is to enhance strategies for prevention and control, support the development of tailored immunization policies, and underscore the critical role of the varicella vaccine in comprehensive health management across all ages.

Objective:To analyze the association between unhealthy lifestyles and depressive symptoms, anxiety symptoms and stress among secondary school students in Jiangsu Province.Methods:From September to November 2023, a multistage stratified cluster random sampling method was used to select secondary school students from 13 districts and cities in Jiangsu Province. A questionnaire survey was conducted on their unhealthy lifestyles (low physical activity, smoking, drinking, internet addiction, poor sleep quality, and unhealthy diet), as well as their depressive symptoms, anxiety symptoms and stress. The multivariate logistic regression model and mixed graph model were used to construct a network and analyze the association between unhealthy lifestyles and depressive symptoms, anxiety symptoms and stress.Results:A total of 81 414 secondary school students were finally included in this study, including 39 725 (48.79%) female students and 41 689 (51.21%) male students. The prevalence of depressive symptoms, anxiety symptoms and stress were 18.55%, 32.09% and 12.91%, respectively. The multivariate logistic regression model showed that after adjusting for age, gender, urban-rural status, residential status, and family type, compared with students without unhealthy lifestyles, students with low physical activity, smoking, alcohol consumption, internet addiction, poor sleep quality, and unhealthy diet had a significantly increased risk of depressive symptoms ( OR=1.12, 95% CI:1.07-1.17; OR=1.60, 95% CI: 1.49-1.72; OR=1.79, 95% CI: 1.71-1.88; OR=3.05, 95% CI: 2.77-3.36; OR=6.66, 95% CI: 6.40-6.93; OR=1.29, 95% CI: 1.24-1.34) and a significantly increased risk of anxiety symptoms ( OR=1.09, 95% CI: 1.05-1.13; OR=1.42, 95% CI: 1.33-1.52; OR=1.76, 95% CI: 1.69-1.83; OR=2.40, 95% CI: 2.17-2.65; OR=5.79, 95% CI: 5.59-6.00; OR=1.16, 95% CI: 1.12-1.21). Students who smoked, drank alcohol, had internet addiction, and had poor sleep quality had a significantly increased risk of stress ( OR=1.49, 95% CI: 1.38-1.61; OR=1.79, 95% CI: 1.70-1.89; OR=2.25, 95% CI: 2.04-2.48; OR=6.74, 95% CI: 6.43-7.06). The node with poor sleep quality (bridge strength=0.48) in the network constructed by the mixed graph model had the strongest centrality of the bridge connecting unhealthy lifestyles with depressive symptoms, anxiety symptoms and stress. Conclusion:Low physical activity, smoking, alcohol consumption, internet addiction, poor sleep quality, and unhealthy diet increase the risk of depressive symptoms and anxiety symptoms among Jiangsu Province secondary school students. Smoking, alcohol consumption, internet addiction, and poor sleep quality increase the risk of stress among Jiangsu Province secondary school students. Sleep quality is an important intervention target for Jiangsu Province secondary school students to alleviate their negative emotions.

Objective:To analyze the changes in the prevalence characteristics of multimorbidity among adolescents aged 13-18 in Inner Mongolia Autonomous Region from 2019 to 2022 and to explore the association between multimorbidity and moderate to high-intensity physical activity among them.Methods:A stratified random cluster sampling method was used to select students aged 13-18 in Inner Mongolia Autonomous Region every September from 2019 to 2022. Physical examinations, demographic characteristics, and depression-related surveys were conducted to analyze the multimorbidity of overweight, obesity, high blood pressure, myopia, spinal curvature abnormality, and depression. A logistic regression model was used to analyze the association between multimorbidity and moderate to high-intensity physical activity.Results:From 2019 to 2022, 70 972, 62 923, 80 254, and 78 288 study subjects were included, with the rates of multimorbidity being 56.4%, 55.4%, 57.2%, and 55.8%, respectively. The rates of multimorbidity remained relatively stable from 2019 to 2022 ( χ2=0.06, P=0.950). The incidence of multimorbidity among girls was significantly higher than that among boys ( P<0.001). The incidence of multimorbidity among urban students was significantly higher than that among suburban students ( P<0.001). The incidence of multimorbidity among high school students was higher than that among middle school students ( P<0.001). The top three multimorbidity combinations were myopia and overweight/obesity (26.4%), myopia and high blood pressure (24.4%), and myopia and depression (19.8%), while the least common combination was depression and spinal curvature abnormality (1.1%). The multimorbidity patterns showed no significant differences between years ( χ2=0.03, P=0.999). The multimorbidity status was significantly associated with the status of meeting the standard of moderate to high-intensity physical activity ( OR=0.83, 95% CI: 0.80-0.86). The association was stronger in boys ( OR=0.77, 95% CI: 0.73-0.81) compared with girls ( OR=0.90, 95% CI: 0.85-0.96), with a significant interaction term ( P<0.001). Conclusion:From 2019 to 2022, the incidence of multimorbidity among adolescents aged 13 to 18 in Inner Mongolia Autonomous Region is relatively high, mainly due to the co-occurrence of myopia and other health problems. Adequate physical activity is an important factor in reducing multimorbidity.

Objective:To analyze the multimorbidity trends and influencing factors of internet addiction and depressive symptoms among middle school students in Zhejiang Province.Methods:From 2018 to 2023, a multistage stratified random cluster sampling method was used to select middle school students aged 12 to 18 in Zhejiang Province. Internet addiction and depression status were measured by the Internet Addiction Scale and the Center for Epidemiologic Studies Depression Scale. When both symptoms were present, it was defined as multimorbidity.The multivariate logistic regression model was used to analyze the influencing factors of multimorbidity among middle school students, and a trend Chi-square test was used to analyze the changing trends of internet addiction, depression and multimorbidity prevalence. Results:A total of 193 505 students were included in the study. From 2018 to 2023, the prevalence of multimorbidity of internet addiction and depressive symptoms among middle school students ranged from 2.7% to 3.5%. The prevalence of internet addiction ranged from 4.7% to 6.0%, while the prevalence of depressive symptoms ranged from 18.7% to 25.1%. Multivariate logistic regression showed that boarding students ( OR=1.34 , 95% CI: 1.26-1.42), low-frequency ( OR=1.59, 95% CI: 1.46-1.73), and high-frequency sugary drink consumption ( OR=3.91, 95% CI: 3.55-4.31) increased the risk of multimorbidity among middle school students. In contrast, higher frequencies of moderate-to-high-intensity exercise (medium: OR=0.54, 95% CI: 0.50-0.58; high: OR=0.49, 95% CI: 0.44-0.55) and sufficient sleep ( OR=0.52, 95% CI: 0.49-0.56) were protective factors. From 2018 to 2023, there was no significant change in the trend of multimorbidity prevalence among middle school students ( χ2trend=3.82, P=0.051). The prevalence of internet addiction showed an upward trend ( χ2trend=20.54, P<0.001), while depressive symptoms showed a downward trend ( χ2trend=181.41, P<0.001). Conclusion:The prevalence of internet addiction and depression symptoms among middle school students in Zhejiang Province remains stable from 2018 to 2023. The prevalence of internet addiction shows an upward trend, while the prevalence of depression symptoms shows a downward trend. The risk of multimorbidity is related to students′ boarding, consumption of sugary drinks, lack of exercise, and insufficient sleep.

The main health problems faced by children and adolescents in China are constantly changing. Myopia, overweight and obesity, abnormal spinal curvature, and mental health issues have become the main health problems for children and adolescents. However, multidimensional health problems such as infectious diseases, chronic non-communicable diseases and injuries still coexist and present regional imbalances. Since these coexisting health problems usually have common behavioral and environmental factors, implementing joint prevention works for children and adolescents could improve the efficiency of monitoring and intervention of multimorbidity among students. School health standards are an important component of China′s school health regulations and a crucial technical basis for implementing various school health laws and regulations. Carrying out high-quality revision, preliminary research, implementation evaluation, and promotion of school health standards could provide important technical support for monitoring, comprehensive intervention, and evaluation of common diseases among students, implementing the policy of joint prevention of multimorbidity of common diseases among students, and promoting the high-quality development of disease prevention and control in the field of school health in the new era.