Objective To understand the distribution of M protein gene (emm) of group A streptococcus (GAS) infections among children in Xicheng District of Beijing. Methods Throat swab samples from scarlet fever and pharyngeal infection cases were collected in sentinel hospitals of Xicheng District, Beijing from 2011 to 2024. GAS strains were isolated and identified, and emm gene was amplified and sequenced by PCR to determine the genotype. The differences in emm genotype between different groups were compared. Results A total of 3 130 throat swab samples were collected, and 400 GAS strains were isolated, with a positive rate of 12.78%. The highest positive rate was 19.93% in 2011. The positive rate of scarlet fever (45.71%) was higher than that of pharyngeal infection (6.14%) (P<0.001). There were 391 emm gene positive strains, and the differences in the positive rate of emm gene among different cases were statistically significant (P<0.001). A total of 7 genotypes and 27 gene subtypes were detected. Among different groups, the emm genotypes were mainly emm12 and emm1. The emm gene subtypes were mainly emm12.00 and emm1.00. Except for some years, the genotypes and their subtypes were dominated by emm12 and emm12.00, and the distribution differences of the two major genotypes and their subtypes were statistically significant from 2011 to 2019 (P<0.001). There were differences in genotypes and subtypes among different age groups (P=0.002). Conclusion The dominant types of emm genes in group A streptococcus infections among children were emm12 and emm1 in Xicheng District of Beijing from 2011 to 2024, and the dominant gene subtypes were emm12.00 and emm1.00. It is necessary to comprehensively strengthen the monitoring of the epidemic situation and genotype, timely grasp the distribution and variation of emm gene.

Objective:To study the impact of fluoride exposure through drinking water on the risk of hypertension among residents in Jishan County, Shanxi Province.Methods:From March to April 2023, a cluster sampling method was used to select permanent residents aged ≥18 years and residing for ≥10 years in 12 villages in drinking water-borne endemic fluorosis areas of Jishan County, Shanxi Province as the survey subjects. A questionnaire survey, physical examination, and morning urinary fluoride level testing were conducted. The least absolute shrinkage and selection operator (Lasso) regression were used to analyze the key influencing factors of hypertension. Restricted cubic spline was used to evaluate the linear relationship between urinary fluoride and hypertension. Logistic regression was used to analyze the impact of urinary fluoride on hypertension.Results:Finally, 2 453 survey subjects were included, aged (62 ± 10) years, including 1 565 patients (63.80%) with hypertension. There were significant differences in the distribution of age, gender, education level, annual household income, body mass index (BMI), and the level and distribution of urinary fluoride between hypertension group and normal blood pressure group ( P < 0.05). The Lasso regression results showed that age, education level, BMI, and urinary fluoride were the key influencing factors of hypertension, with coefficients of 1.04, - 0.12, 0.24 and 0.01, respectively. The results of the restricted cubic spline showed that there was a linear relationship between urinary fluoride and hypertension after adjusting for age, education level, and BMI ( Poverall = 0.018, Pnonlinear = 0.482). The logistic regression results showed that after adjusting for age, education level, and BMI, urinary fluoride > 4.68 mg/L was a risk factor for hypertension ( OR = 1.42, 95% CI: 1.10 - 1.84, P = 0.007). Conclusion:High urinary fluoride is a risk factor for hypertension in drinking water-borne endemic fluorosis areas of Jishan County, Shanxi Province.

At present, liver transplantation is the most effective method for the treatment of various end-stage liver diseases, and electronic health technology is a new medical service model, which can be used as an efficient and cost-effective alternative to the health management of liver transplant recipients. This paper summarizes the application of electronic health technology in postoperative health management of liver transplant recipients, including applications, robots, video conferencing, tablet computers, text messages, telephones and wearable devices, etc., summarizes the implementation effect of electronic health technology in health management of liver transplant recipients, and analyzes the limitations of research and application at the present stage. In order to provide basis and reference for Chinese medical staff to carry out electronic health technology in the health management of liver transplant recipients.

The symptom clusters increase the symptom distress of liver transplant recipients, reduces their treatment and nursing compliance, and greatly affects the prognosis quality of life of liver transplant recipients. This article reviews the concept, research status, assessment tools, influencing factors, and interventions for symptom clusters in liver transplant recipients, aiming to help clinical nurses formulate targeted interventions based on symptom clusters, provide effective symptom management for liver transplant recipients, reduce the physical and psychological damage caused by symptom clusters, and continuously improve the quality of life of liver transplant recipients.

Objective:To analyze the changes in the phylogenetic and antigenic characteristics of the hemagglutinin (HA) gene of influenza virus A(H3N2) [A(H3N2)] during the 2022-2024 influenza seasons in Beijing.Methods:The data of influenza-like cases and A(H3N2) strains from 17 network laboratories and their corresponding sentinel hospitals were collected during the 2022-2024 influenza seasons. The HA genes were amplified and sequenced after extracting nucleic acids of the chosen virus strains. BioEdit, the nucleotide and amino acid sequence identity were conducted, and the maximum likelihood method in MEGA 5.0 software was used to construct the phylogenetic tree of HA genes. Web Logo displayed the amino acid mutation, and the N-glycosylation sites of HA online were analyzed using the NetNGlyc1.0 Server online. The Datamonkey platform was utilized to analyze the positive selection pressure sites of the HA protein.Results:The 2022-2024 influenza season includes 2022-2023 and 2023-2024. During the influenza seasons of 2022-2024, the positive rates of A(H3N2) nucleic acid were 10.35% (2 127/20 543) and 10.47% (4 386/41 876), respectively. In the 2022-2023 influenza season, there were two peaks in the A(H3N2). The comparison of HA genes between all A(H3N2) strains studied with the 2022-2024 vaccine strain (A/Darwin/9/2021) revealed that all of the strains studied have the two amino acid mutations involving 186 and 225 receptor binding sites. There were 31 amino acid substitutions in the 2022-2023 influenza season, of which 18 variant sites involved antigenic determinants. There were 35 amino acid mutations during the 2023-2024 influenza season, of which 14 were related to antigenic determinants. There were changes in the genetic evolutionary subclades of A(H3N2) strains in two influenza seasons: from 2022 to 2023, three evolutionary subclades were co-prevalent together, with the 3C.2a1b.2a.2a.3a.1 accounting for 76.67% (23/30), the 3C.2a1b.2a.1a accounting for 20.00% (6/30), the 3C.2a1b.2a.2a.1 accounting for 3.33% (1/30); from 2023 to 2024, two subclades were prevalent, with 3C.2a1b.2a.2a.3a.1 accounting for 95.12% (39/41) and 3C.2a1b.2a.2a.1 accounting for 4.88% (2/41). The glycosylation site changes of the HA protein of A(H3N2) have been enhanced from 2023 to 2024. The 145 amino acid position of the HA protein of the A(H3N2) was the positive selection site for stress selection site analysis.Conclusions:The evolutionary subclades of the HA gene of A(H3N2) in Beijing showed changes from 2022 to 2024, and the glycosylation site polymorphism of the HA protein of A(H3N2) significantly increased from 2023 to 2024. Continuous monitoring of HA mutations in the A(H3N2) is crucial, providing a basis for developing influenza prevention and control strategies, as well as new strategic support for screening influenza vaccine components, vaccine design, and discovery of drug targets.

The cross-lagged model is a longitudinal data analysis method that can analyze the mutual influence and causal relationships among variables in longitudinal studies. This article introduces an overview of the cross-lagged model and the application progress of the cross-lagged model in the field of nursing, including psychological nursing, community nursing, geriatric nursing, perinatal nursing, nursing management, and nursing education. It is expected to provide a reference for Chinese medical staff to apply the cross-lagged model in nursing practice.

Objective To construct a combined model integrating ultrasonic features and radiomics derived from ultrasound images,and to evaluate its diagnostic performance in re-assessing the benign or malignant nature of Bethesda Ⅲ nodules.Methods A retrospective study was carried out on 442 patients with thyroid nodules classified as Bethesda Ⅲ after fine-needle aspiration biopsy(FNAB)between January 2019 and September 2024.All patients had undergone surgical pathology.The patients were randomly allocated into a training set and a testing set at a ratio of 7∶3.Relevant clinical characteristics were gathered,and regions of interest(ROI)were outlined on the most suspicious slice of the lesion prior to biopsy.Ultrasound radiomics features were extracted,key radiomics features were selected,and radiomics scores(Rad-score)were computed.The ultrasound model,radiomics model,and combined model were constructed.Subsequently,the diagnostic efficacy and clinical application value of each model were evaluated using the area under the receiver operating characteristic curve(AUC)and decision curve analysis(DCA).Results Univariate analysis and multivariate logistic regression analysis findings indicated that microcalci-fication,irregular margin,and Rad-score were independent risk factors for the malignant transformation of BethesdaⅢ nodules.In the testing set,the AUC values of the ultrasound model,radiomics model,and combined model were 0.76,0.71,and 0.81,respectively.The calibration curve of the combined model revealed a good consistency between the predicted values and the actual outcomes.The DCA of the testing set demonstrated that the combined model exhibited high clinical utility.Conclusion The combined model,established based on ultrasonic features and ultrasound radiomics,provides a higher predictive value for evaluating the malignancy risk of Bethesda Ⅲ nodules.

Objective: To explore the associations of moderate to vigorous intensity physical activity (MVPA) and sedentary behavior (SB) among primary and secondary school students and their parents, so as to provide a scientific basis for formulating targeted physical activity promotion strategies for children and adolescents. Methods: From 2021 to 2022, basic information and 24 h movement behaviors of 2 484 pairs of students and their parents were collected from five primary and secondary schools in Haizhu District, Guangzhou City, with a convenient sampling combining with cluster sampling method. Component regression models were constructed to analyze the relationship between parental MVPA, SB and primary and secondary school students MVPA and SB, and a component isochronous substitution model was used to explore the effects of mutual substitution between parental MVPA, residual components (time use components other than SB during the 24 h period), and SB on the behavioral activities of MVPA and SB in primary and secondary school students. Results: Parental MVPA and SB of students in grade 1 to 3 were positively correlated with both students MVPA and SB ( β=0.06, 0.12, P <0.01). The component isochronous substitution model showed that substituting 10 and 20 minutes of MVPA for SB by parents in grade 1 to 3 was associated with an increase in MVPA of students, and substituting 10 and 20 minutes of residual ingredients for SB was associated with a decrease in SB of students, with mean changes of 0.8 (95% CI =0.4-1.2) and 1.4 (95% CI =0.7-2.2) and -1.4 (95% CI =-1.7 to -1.1) and -2.9 (95% CI =-3.4 to -2.3)( P <0.05). No statistically significant associations were observed between parents of students in grades 4 to 6 and 7 to 9 and students physical activity and sedentary behaviour ( P >0.05). Conclusions Parents of students in grades 1 to 3 increases MVPA and decrease SB are beneficial to increase MVPA and decrease SB of students. Parents could promote physical activity among primary and secondary school students, and the intervention gateway should be advanced, with the low grades as the optimal intervention period.

Objective To investigate the causal association between sleep disorder-related phenotypes and cerebrovascular outcomes/complications using the two-sample Mendelian randomization （MR） method， and to determine causal orientation via directionality testing. Methods Genetic variations from genome-wide association studies were used as instrumental variables to analyze eight sleep-related phenotypes （continuous sleep， snoring， napping， insomnia， morning diurnal preference， daytime sleepiness， long sleep， and short sleep） against multiple cerebrovascular outcomes and complications （cerebral infarction， unruptured cerebral artery dissection， cerebral arteritis， cerebral amyloid angiopathy， unruptured cerebral aneurysm， cerebral atherosclerosis， intracerebral hemorrhage， vascular syndrome， and sequelae of cerebrovascular disease）. The inverse-variance weighted （IVW） method was used for primary analysis， with the assistance of the sensitivity methods such as MR-Egger， weighted median， simple mode， and weighted mode， and the Estimate value was used to characterized effect direction and magnitude， with statistical significance assessed by P value. The Steiger directionality test was used to compare the extent of variance explained by instrumental variables concerning exposure and outcome and confirm causal direction. Results The IVW analysis showed that snoring was associated with an increased risk of cerebral amyloid angiopathy （Estimate=8.08， 95% CI 1.93-14.23， P=0.01）， and long sleep duration was associated with an increased risk of cerebral atherosclerosis （Estimate=14.95， 95% CI 2.44-27.46， P=0.02）. Short sleep duration was associated with an increased risk of cerebral arteritis （Estimate=13.33， 95% CI 1.54-25.12， P=0.03）； however， inconsistent directions were observed across sensitivity methods （e.g.， MR-Egger）， and therefore， it was treated as suggestive evidence rather than a robust conclusion. The Steiger test showed R2exposure>R2outcome for most exposure-outcome pairs， and the key associations did not persist under reverse-direction analyses， supporting a forward causal pathway from sleep phenotypes to cerebrovascular outcomes and reducing the likelihood of reverse causation. Conclusion Genetic evidence supports a forward causal effect of sleep-related phenotypes on cerebrovascular outcomes and complications， with the most robust findings of “snoring increases the risk of cerebral amyloid angiopathy” and “long sleep duration increases the risk of cerebral atherosclerosis”. Identification and treatment of sleep-disordered breathing and avoidance of prolonged sleep may be used as potential targets for preventing cerebrovascular disease， and multi-ethnic prospective studies and interventional trials are needed to further validate these findings and clarify the underlying biological mechanisms.

Objective:To analyze the changes in the phylogenetic and antigenic characteristics of the hemagglutinin (HA) gene of influenza virus A(H3N2) [A(H3N2)] during the 2022-2024 influenza seasons in Beijing.Methods:The data of influenza-like cases and A(H3N2) strains from 17 network laboratories and their corresponding sentinel hospitals were collected during the 2022-2024 influenza seasons. The HA genes were amplified and sequenced after extracting nucleic acids of the chosen virus strains. BioEdit, the nucleotide and amino acid sequence identity were conducted, and the maximum likelihood method in MEGA 5.0 software was used to construct the phylogenetic tree of HA genes. Web Logo displayed the amino acid mutation, and the N-glycosylation sites of HA online were analyzed using the NetNGlyc1.0 Server online. The Datamonkey platform was utilized to analyze the positive selection pressure sites of the HA protein.Results:The 2022-2024 influenza season includes 2022-2023 and 2023-2024. During the influenza seasons of 2022-2024, the positive rates of A(H3N2) nucleic acid were 10.35% (2 127/20 543) and 10.47% (4 386/41 876), respectively. In the 2022-2023 influenza season, there were two peaks in the A(H3N2). The comparison of HA genes between all A(H3N2) strains studied with the 2022-2024 vaccine strain (A/Darwin/9/2021) revealed that all of the strains studied have the two amino acid mutations involving 186 and 225 receptor binding sites. There were 31 amino acid substitutions in the 2022-2023 influenza season, of which 18 variant sites involved antigenic determinants. There were 35 amino acid mutations during the 2023-2024 influenza season, of which 14 were related to antigenic determinants. There were changes in the genetic evolutionary subclades of A(H3N2) strains in two influenza seasons: from 2022 to 2023, three evolutionary subclades were co-prevalent together, with the 3C.2a1b.2a.2a.3a.1 accounting for 76.67% (23/30), the 3C.2a1b.2a.1a accounting for 20.00% (6/30), the 3C.2a1b.2a.2a.1 accounting for 3.33% (1/30); from 2023 to 2024, two subclades were prevalent, with 3C.2a1b.2a.2a.3a.1 accounting for 95.12% (39/41) and 3C.2a1b.2a.2a.1 accounting for 4.88% (2/41). The glycosylation site changes of the HA protein of A(H3N2) have been enhanced from 2023 to 2024. The 145 amino acid position of the HA protein of the A(H3N2) was the positive selection site for stress selection site analysis.Conclusions:The evolutionary subclades of the HA gene of A(H3N2) in Beijing showed changes from 2022 to 2024, and the glycosylation site polymorphism of the HA protein of A(H3N2) significantly increased from 2023 to 2024. Continuous monitoring of HA mutations in the A(H3N2) is crucial, providing a basis for developing influenza prevention and control strategies, as well as new strategic support for screening influenza vaccine components, vaccine design, and discovery of drug targets.