Circular RNA(circRNA),as a kind of non-coding RNA,regulates a variety of biological functions.To explore the effect of circRNA on PEDV replication in the host porcine intestinal epi-thelial cells,this study screened and analyzed the differentially expressed circRNAs by bioinforma-tic software in African Green Monkey renal cells(Vero-E6 cells)infected by porcine epidemic di-arrhea virus(PEDV),the differentially expressed circRNA ssc_circ_PIK3C2A was identified and the secondary structure was analyzed.PCR was used to identify the ssc_circ_PIK3C2A circRNA structure,the model of PEDV-infected IPEC-J2 cells was constructed,the TCID50 test was used to validate the viral titer of PEDV.The expression of circ_PIK3C2A was detected by qRT-PCR in IPEC-J2 infected by PEDV.circ_PIK3C2A qRT-PCR was performed to detect the expression of N gene of PEDV when ssc_circ_PIK3C2A was over-expressed in IPEC-J2 cells.The results showed that ssc_circ_PIK3C2 A is a porcine circular RNA with a typical circular structure,the virus titer of PEDV reached 10-6/mL after PEDV infected IPEC-J2 cells for 48 h,the expression of circ_PIK3C2A increased extremely(P＜0.01)at 6 h after PEDV-infection,with the extension of infec-tion time,its expression gradually decreased,and the expression was the lowest at 24 h,but there was no time-dependent trend.The expression of PEDV N gene decreased significantly when ssc_circ_PIK3C2A was over-expressed in IPEC-J2 cells.In conclusion,when PEDV infects IPEC-J2 cells,the expression of porcine circ_PIK3C2A decreases,and replication of PEDV increases signifi-cantly in IPEC-J2 cells.our result provides a basis for further study of the mechanism of circular RNA on PEDV replication and its physiological activities in host cells in the future.

Objective:To review the literature on improving patients′medical experience, analyze the current research status in this field, and provide references for enhancing patients′medical experience.Methods:A search was conducted for studies related to improving patients′medical experience published from January 2015 to November 2024 in eight databases, including CNKI and Web of Science. Using software CiteSpace 6.4.R1 and VOSviewer 1.6.19 to analyze publication trends, keyword clustering, existing problems in the process of improving patients′medical experience, and the measures taken.Results:6 507 articles were included, of which 4 452 were in English (68.4%) and 2 055 were in Chinese (31.6%). The annual number of publications showed a nearly linear growth trend ( R2 = 0.983 9). The clustering analysis results indicated that domestic and international research mainly focused on patient-centered diagnostic and treatment systems, behaviors, services, and environments. Existing studies revealed that there were still problems such as long waiting times for appointments and consultations (292 articles), uneven distribution of medical resources (198 articles), and poor doctor-patient communication (155 articles). To improve patients′medical experience, the following intervention measures were proposed: accelerating the medical reform process and strengthening government responsibilities (169 articles); enhancing service concepts and innovating service models (363 articles); optimizing the consultation process and simplifying medical procedures (221 articles); improving the consultation environment and optimizing the facilities in the consultation area (181 articles); and integrating technological advantages to cover the entire medical process (346 articles). Conclusions:Research on improving patients' medical experience was increasingly attracting the attention of more and more scholars. Issues such as low service efficiency, unbalanced resource allocation, and poor doctor-patient communication need to be given special attention. In the future, it is recommended to enhance the experience of patients′ medical experience by strengthening policy and institutional guarantees, accelerating the construction of information technology, improving doctor-patient communication skills and humanistic care, and enhancing the capacity of primary medical services.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To apply the Timed Up and Go Test(TUGT)to investigate the correlation between motor function, emotional state, cognitive function, and sleep quality among elderly individuals in the Chinese community.Methods:A cross-sectional study was conducted, involving 739 subjects aged 60 to 90 years, who were randomly recruited from December 2021 to August 2023 across Beijing, Tianjin, Zhejiang, Guangdong, and Hainan Provinces in China.Basic demographic information was collected, and the TUGT was utilized to assess motor function.Based on the TUGT time(t), the subjects were divided into three groups: normal motor function group, mild motor abnormality group, and significant motor abnormality group.Cognitive function was evaluated using the Chinese Revised Mini-Mental State Examination(MMSE), while the Patient Health Questionnaire Depression Scale(PHQ-9)was employed to measure the degree of depression.Additionally, the Epworth Sleepiness Scale(ESS)was used to assess excessive daytime sleepiness.The correlation between subjects' motor function and their cognitive abilities, mood, and sleep was subsequently analyzed.Results:Systolic blood pressure, heart rate, PHQ-9, MMSE, and ESS scores were identified as significant factors influencing TUGT time.Specifically, TUGT time was positively correlated with PHQ-9 and ESS scores, while exhibiting negative correlations with systolic blood pressure, heart rate, and MMSE scores.Additionally, TUGT time was negatively correlated with the MMSE subcomponents of orientation, immediate memory, and verbal ability.All observed differences were statistically significant(all P<0.05).Logistic regression analysis indicated that an increase in the PHQ-9 score was associated with an odds ratio( OR)of 1.099(95% CI: 1.045-1.155, P<0.001)(mild motor abnormality group)and 1.150(95% CI: 1.066-1.242, P<0.001)(Significant motor abnormality group).Additionally, a reduction in the MMSE score was observed, with an OR of 0.939(95% CI: 0.886-0.995, P<0.001)(mild motor abnormality group)and 0.793(95% CI: 0.729-0.862, P<0.001)(Significant motor abnormality group).Furthermore, an increase in the ESS score was noted, with ORs of 1.139(95% CI: 1.094-1.186, P<0.001)(mild motor abnormality group)and 1.203(95% CI: 1.132-1.279, P<0.001)(Significant motor abnormality group).These findings suggest that these variables are independently related to decreased motor function. Conclusions:Depression, cognitive impairment, and excessive daytime sleepiness are independent risk factors for motor dysfunction among elderly individuals in community settings.The Timed Up and Go Test TUGT can be utilized for the early screening of motor function decline in this population.

OBJECTIVE To analyze the correlation of the peak blood concentration （cmax） of compound sulfamethoxazole （TMP/SMZ） and its metabolite N-acetyl sulfamethoxazole （NSMZ） with clinical efficacy and adverse reactions in critically ill patients. METHODS The data of critically ill patients treated with TMP/SMZ in various ICU of Hainan General Hospital from December 2023 to January 2025 were retrospectively collected. The patients were divided into success group and failure group based on the treatment outcome. Simple linear regression and Spearman correlation analysis were used to analyze the correlation of TMP cmax， SMZ cmax， and NSMZ cmax with clinical efficacy and adverse reactions. The receiver operating characteristic curve （ROC） was used to determine the cutoff values of cmax for predicting the occurrence of adverse reactions. RESULTS Among critically ill patients with an acute physiology and chronic health evaluation Ⅱ （APACHE-Ⅱ） ≥15 points 24 h of check-in at ICU， SMZ cmax of success group was significantly higher than failure group （P＜0.05）. The daily total dose of TMP/SMZ was positively correlated with TMP cmax and SMZ cmax（ P＜0.05）. TMP cmax was significantly correlated with hepatotoxicity and nephrotoxicity， SMZ cmax with hepatotoxicity， and NSMZ cmax with nephrotoxicity （P＜0.05）. The cutoff values of TMP cmax for predicting nephrotoxicity and hepatotoxicity were 7.25 μg/mL and 6.63 μg/mL， respectively. The cutoff value of SMZ cmax for predicting hepatotoxicity was 138.00 μg/mL， and that of NSMZ cmax for predicting nephrotoxicity was 60.76 μg/mL. CONCLUSIONS Among critically ill patients with an APACHE-Ⅱ ≥15 points 24 h of check-in at ICU， SMZ cmax is associated with treatment success. Hepatotoxicity risk significantly increases when TMP cmax ≥6.63 μg/mL or SMZ cmax ≥138.00 μg/mL； nephrotoxicity risk significantly increases when TMP cmax ≥7.25 μg/mL or NSMZ cmax ≥60.76 μg/mL.

In recent years, with the rapid advancement of digital technologies, the application of intelligent medicine in the field of endocrine and metabolic diseases has been continuously expanding. This review focuses on the latest progress in intelligent medicine within this domain, aiming to provide valuable insights and references for promoting the integration of intelligent medicine with the diagnosis and treatment of endocrine and metabolic diseases.

Chronic hepatitis B（CHB）is one of the major challenges in the global public health field. As of 2022，approximately 254 million people worldwide were infected with the hepatitis B virus（HBV）. CHB is one of the main causes of liver cirrhosis and hepatocellular carcinoma（HCC）. Nucleos（t）ide analogs（NAs）and interferon therapy can delay the progression of liver fibrosis by inhibiting viral replication，but they cannot completely avoid the problem of heterogeneous treatment responses. Some patients are in a state of low-level viremia（LLV）during treatment. The persistent LLV state can induce chronic inflammation and the progression of liver fibrosis，ultimately increase the risk of HCC. In patients with poor treatment responses，the continuous active viral replication can induce immune disorders，accelerate the evolution of fibrosis to the decompensated stage of liver cirrhosis，and increase the risk of patient death. This article aims to review the definition，mechanisms，and impact on treatment outcomes of LLV and suboptimal response based on the latest research，provide a basis for optimizing antiviral therapy for CHB.

Circular RNA(circRNA),as a kind of non-coding RNA,regulates a variety of biological functions.To explore the effect of circRNA on PEDV replication in the host porcine intestinal epi-thelial cells,this study screened and analyzed the differentially expressed circRNAs by bioinforma-tic software in African Green Monkey renal cells(Vero-E6 cells)infected by porcine epidemic di-arrhea virus(PEDV),the differentially expressed circRNA ssc_circ_PIK3C2A was identified and the secondary structure was analyzed.PCR was used to identify the ssc_circ_PIK3C2A circRNA structure,the model of PEDV-infected IPEC-J2 cells was constructed,the TCID50 test was used to validate the viral titer of PEDV.The expression of circ_PIK3C2A was detected by qRT-PCR in IPEC-J2 infected by PEDV.circ_PIK3C2A qRT-PCR was performed to detect the expression of N gene of PEDV when ssc_circ_PIK3C2A was over-expressed in IPEC-J2 cells.The results showed that ssc_circ_PIK3C2 A is a porcine circular RNA with a typical circular structure,the virus titer of PEDV reached 10-6/mL after PEDV infected IPEC-J2 cells for 48 h,the expression of circ_PIK3C2A increased extremely(P＜0.01)at 6 h after PEDV-infection,with the extension of infec-tion time,its expression gradually decreased,and the expression was the lowest at 24 h,but there was no time-dependent trend.The expression of PEDV N gene decreased significantly when ssc_circ_PIK3C2A was over-expressed in IPEC-J2 cells.In conclusion,when PEDV infects IPEC-J2 cells,the expression of porcine circ_PIK3C2A decreases,and replication of PEDV increases signifi-cantly in IPEC-J2 cells.our result provides a basis for further study of the mechanism of circular RNA on PEDV replication and its physiological activities in host cells in the future.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To apply the Timed Up and Go Test(TUGT)to investigate the correlation between motor function, emotional state, cognitive function, and sleep quality among elderly individuals in the Chinese community.Methods:A cross-sectional study was conducted, involving 739 subjects aged 60 to 90 years, who were randomly recruited from December 2021 to August 2023 across Beijing, Tianjin, Zhejiang, Guangdong, and Hainan Provinces in China.Basic demographic information was collected, and the TUGT was utilized to assess motor function.Based on the TUGT time(t), the subjects were divided into three groups: normal motor function group, mild motor abnormality group, and significant motor abnormality group.Cognitive function was evaluated using the Chinese Revised Mini-Mental State Examination(MMSE), while the Patient Health Questionnaire Depression Scale(PHQ-9)was employed to measure the degree of depression.Additionally, the Epworth Sleepiness Scale(ESS)was used to assess excessive daytime sleepiness.The correlation between subjects' motor function and their cognitive abilities, mood, and sleep was subsequently analyzed.Results:Systolic blood pressure, heart rate, PHQ-9, MMSE, and ESS scores were identified as significant factors influencing TUGT time.Specifically, TUGT time was positively correlated with PHQ-9 and ESS scores, while exhibiting negative correlations with systolic blood pressure, heart rate, and MMSE scores.Additionally, TUGT time was negatively correlated with the MMSE subcomponents of orientation, immediate memory, and verbal ability.All observed differences were statistically significant(all P<0.05).Logistic regression analysis indicated that an increase in the PHQ-9 score was associated with an odds ratio( OR)of 1.099(95% CI: 1.045-1.155, P<0.001)(mild motor abnormality group)and 1.150(95% CI: 1.066-1.242, P<0.001)(Significant motor abnormality group).Additionally, a reduction in the MMSE score was observed, with an OR of 0.939(95% CI: 0.886-0.995, P<0.001)(mild motor abnormality group)and 0.793(95% CI: 0.729-0.862, P<0.001)(Significant motor abnormality group).Furthermore, an increase in the ESS score was noted, with ORs of 1.139(95% CI: 1.094-1.186, P<0.001)(mild motor abnormality group)and 1.203(95% CI: 1.132-1.279, P<0.001)(Significant motor abnormality group).These findings suggest that these variables are independently related to decreased motor function. Conclusions:Depression, cognitive impairment, and excessive daytime sleepiness are independent risk factors for motor dysfunction among elderly individuals in community settings.The Timed Up and Go Test TUGT can be utilized for the early screening of motor function decline in this population.