OBJECTIVE To analyze the potential adverse drug interactions （pADIs） of clarithromycin， and establish refined prescription pre-review rules. METHODS Outpatient prescriptions of clarithromycin in combination with other drugs were collected from January 1， 2024 to June 30， 2024 through hospital information system of the Third People’s Hospital of Bengbu. pADIs were identified and their risk severities were graded according to Lexicomp and Micromedex databases. Then， refined prescription pre- review rules for clarithromycin pADIs-related drugs were established according to the identification and risk level results. RESULTS Among 3 046 clarithromycin combined drug prescriptions， 946 cases of pADIs occurred in 812 prescriptions. There were 6， 415 and 525 cases classified as “contraindicated”，“ major” and “moderate”， respectively. The combination drugs with “contraindicated” levels were tamsulosin， rupatadine， domperidone and ticagrelor， while those with “major” levels were mainly theophylline， dexamethasone and amlodipine. Accordingly， 26 refined rules were established， including 4 items of “warning information→prescription interception”， 11 items of “warning information→prescription double signature” and 11 items of “attention information→prescription approval”. CONCLUSIONS There are “contraindicated” and “major” risks associated with clarithromycin and its combination drugs in the hospital， and refined prescription pre-review rules for clarithromycin combined drug prescription have been established successfully.

ObjectiveAutism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties with communication and social interaction, restricted and repetitive behaviors. Previous studies have indicated that individuals with ASD exhibit early and lifelong attention deficits, which are closely related to the core symptoms of ASD. Basic visual attention processes may provide a critical foundation for their social communication and interaction abilities. Therefore, this study explores the behavior of children with ASD in capturing attention to changes in topological properties. MethodsOur study recruited twenty-seven ASD children diagnosed by professional clinicians according to DSM-5 and twenty-eight typically developing (TD) age-matched controls. In an attention capture task, we recorded the saccadic behaviors of children with ASD and TD in response to topological change (TC) and non-topological change (nTC) stimuli. Saccadic reaction time (SRT), visual search time (VS), and first fixation dwell time (FFDT) were used as indicators of attentional bias. Pearson correlation tests between the clinical assessment scales and attentional bias were conducted. ResultsThis study found that TD children had significantly faster SRT (P<0.05) and VS (P<0.05) for the TC stimuli compared to the nTC stimuli, while the children with ASD did not exhibit significant differences in either measure (P>0.05). Additionally, ASD children demonstrated significantly less attention towards the TC targets (measured by FFDT), in comparison to TD children (P<0.05). Furthermore, ASD children exhibited a significant negative linear correlation between their attentional bias (measured by VS) and their scores on the compulsive subscale (P<0.05). ConclusionThe results suggest that children with ASD have difficulty shifting their attention to objects with topological changes during change detection. This atypical attention may affect the child’s cognitive and behavioral development, thereby impacting their social communication and interaction. In sum, our findings indicate that difficulties in attentional capture by TC may be a key feature of ASD.

Objective: To investigate the mediating role of children s sleep quality in the association between mother-child relationship and the executive function of preschool children, providing a reference for promoting the development of the executive function of preschool children. Methods: A stratified cluster sampling method was used to select 842 preschoolers from 12 kindergartens in Wuhu City, Anhui Province in December 2021 as the subjects of the first follow up study with follow up every six months thereafter. Finally, 746 children were included in the study after 3 follow up. Spearman correlation analysis was used to explore the associations among mother-child relationship, sleep quality and executive function in preschool children. Bootstrap program and PROCESS software were applied to test the mediating effect of sleep quality in the association between mother-child relationship and the executive function of preschool children. Results: Conflictual mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory, and organizational planning ( r=0.40, 0.37, 0.36, 0.41, 0.38 , 0.34, all P <0.05). Dependent mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory , and organizational planning ( r=0.23, 0.20, 0.21, 0.22 , 0.22, 0.19, all P <0.05). Sleep quality was positively correlated with the total executive function score ( r=0.27, P <0.01). After adjusting for confounding factors, sleep quality played a partial mediating role in the associations between dependent and conflictual mother-child relationships and executive function, the mediating effects were 19.40% and 11.22% respectively. Conclusions Sleep quality plays a mediating role in the association between mother-child relationship and the executive function of preschool children. Improving sleep quality in the early stage can promote the executive function of preschool children.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Objective: To analyze the timeliness of antir-etroviral therapy (ART) and its influencing factors among newly reported HIV/AIDS cases in Wenzhou City, Zhejiang Province from 2016 to 2023, so as to provide a reference for improving the ART effect of HIV/AIDS cases. Methods: Newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were selected as the research subjects. Demographic information, the situation of the first CD4+ T lymphocyte (CD4 cell) test, baseline CD4 cell count, and ART situation were collected through the Chinese Disease Prevention and Control Information System. The timely rate of ART was analyzed, and the influencing factors for timely ART among HIV/AIDS cases were analyzed using a multivariable logistic regression model. Results: A total of 4 500 newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were included, among which 3 679 were males, accounting for 81.76%, and 821 were females, accounting for 18.24%. The median age was 46.24 (interquartile range, 26.23) years. Among these cases, 3 606 received timely ART, with a timely rate of 80.13%. The timely rate of ART increased from 57.54% in 2016 to 91.97% in 2023 (P<0.05). Multivariable logistic regression analysis showed that unmarried/divorced/widowed (OR=0.769, 95%CI: 0.641-0.922), detainees (OR=0.492, 95%CI: 0.269-0.900), untimely first CD4 cell test (OR=0.278, 95%CI: 0.234-0.330), baseline CD4 cell count ≥200 cells/µL (OR=0.709, 95%CI: 0.595-0.843) or undetected (OR=0.131, 95%CI: 0.080-0.213) were associated with a lower timeliness for ART among HIV/AIDS cases. Conclusion From 2016 to 2023, the timely rate of ART among newly reported HIV/AIDS cases in Wenzhou City showed an upward trend, which was mainly affected by marital status, case source, timeliness of the first CD4 cell test, and baseline CD4 cell count.

Objective: To analyze the epidemiological characteristics of hepatitis C in Wenzhou City, Zhejiang Province from 2005 to 2023, so as to provide the evidence for improving hepatitis C prevention and control measures. Methods: The data of hepatitis C cases in Wenzhou City from 2005 to 2023 were collected from the China Disease Prevention and Control Information System. Descriptive epidemiological methods were used to describe the incidence of hepatitis C by gender and age in Wenzhou City from 2005 to 2023. Average annual percent change (AAPC) was used to analyze the trend of hepatitis C incidence. Results: A total of 15 707 hepatitis C cases were reported in Wenzhou City from 2005 to 2023, with an average annual reported incidence of 9.17/100 000. The reported incidence showed an overall upward trend (AAPC=2.401%, P<0.05). In terms of occupation, farmers/migrant workers and workers accounted for 34.26% (5 382 cases), followed by domestic workers, those engaged in housework and unemployed people, accounting for 19.39% (3 045 cases). Lucheng District, Pingyang County, and Yongjia County had relatively high average annual reported incidences of hepatitis C, which were 18.12/100 000, 13.53/100 000 and 9.88/100 000, respectively. There were 10 816 males and 4 891 females, with a male-to-female ratio of 2.21∶1. The average annual reported incidence of hepatitis C in males was higher than in females (12.06/100 000 vs. 6.00/100 000, P<0.05). The reported incidence of hepatitis C in males showed an overall upward trend (AAPC=3.011%, P<0.05), but there was no significant change in females (AAPC=1.803%, P>0.05). The case was mainly aged 25-<55 years (12 659 cases, 80.59%). There was no significant change in incidence of hepatitis C in 0-<10 years old group and 10-<20 years old group (AAPC=2.103%, 1.126%, both P>0.05), while the incidence of hepatitis C in 20-<30 years old group and 30-<40 years old group showed downward trends (AAPC=>-13.160%, -7.159%, both P<0.05). There were upward trends in the 40-<50 years old group and 50-<60 years old group (AAPC=10.457%, 11.831%, both P<0.05), but no significant change in the ≥60 years old group (AAPC=2.867%, P>0.05). Conclusions The reported incidence of hepatitis C in Wenzhou City showed an overall upward trend from 2005 to 2023. Lucheng District, Pingyang County, and Yongjia County were high risk areas. Farmers/migrant workers, workers, males, and people aged 40-<60 years were the key population for prevention and control of hepatitis C.

ObjectiveTo investigate the possible mechanism of Shufeng Jiedu capsules （SFJD） in alleviating influenza A （H1N1） virus pneumonia and focus on its effect on Toll-like receptor （TLR） signaling pathway in respiratory epithelial cells. MethodsA mouse model of viral pneumonia was established via the A/PR/8/34 （PR8） strain of influenza A virus. Mice were randomly divided into a normal group， a PR8 infection （PR8） group， and an SFJD group （8.4 g·kg^-1）， with 10 mice in each group. The day of infection was designated as day 1. The SFJD group was administered intragastrically at a volume of 20 mL·kg^-1 daily， while the normal and PR8 groups were given an equal volume of deionized water. Micro-computed tomography （Micro-CT） was performed on day 5， and the mice were dissected to collect their lungs， after which the lung index was calculated to verify the therapeutic effect of SFJD. Single-cell sequencing was used to analyze the differentially expressed genes in respiratory epithelial cells. Multiplex fluorescence immunohistochemistry was employed to detect the expression of TLR， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） proteins in epithelial cell adhesion molecule （EpCAM）-positive cells， and the proportion of respiratory epithelial cells expressing TLR pathway proteins was calculated. Respiratory epithelial cells were then sorted by flow cytometry， and Western blot was used to detect the expression of TLR， MyD88， TRAF6， Toll-interleukin receptor domain-containing adaptor inducing interferon-β （TRIF）， inhibitor of κB kinase α （IKKα）， and nuclear factor-κB （NF-κB） in the sorted epithelial cells. Enzyme-linked immunosorbent assay （ELISA） was used to measure the levels of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α） in lung tissue. ResultsAt the transcriptional level， SFJD reversed the expression of TLR signaling pathway genes in respiratory epithelial cells， downregulating multiple TLR signaling pathway-related genes （P<0.01）. At the protein level， SFJD significantly reduced the proportion of respiratory epithelial cells expressing TLR3 （P<0.05）， the expression levels of TLR2， TLR3， TLR4， TRIF， TRAF6， IKKα， and NF-κB in epithelial cells（P<0.05， P<0.01）， as well as the levels of pro-inflammatory cytokines IL-1β and TNF-α in lung tissue （P<0.01）. ConclusionSFJD may alleviate viral pneumonia by suppressing the expression of TLR in respiratory epithelial cells and their subsequent signaling cascades.