Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Objective To establish a prediction model for lymph node metastasis(LNM)of gastric cancer based on routine laboratory indicators using machine learning algorithms.Methods This study collected data of 741 gastric cancer patients at Affiliated Hospital of Nantong University between January 2020 and January 2022 for model training and testing.Additionally,data of 102 gastric cancer patients between January 2023 and October 2023 were collected for model validation.XGBoost algorithm was used to calculate the importance of indicators and filter out a set of important indicators from 66 indicators.Five machine learning algorithms,including K-Nearest Neighbor,Support Vector Machine,Multilayer Perceptron,Random Forest and Adaboost,were constructed and trained for comparative analysis.Furthermore,the stability and accuracy of the model were further validated on the validation set.Results This study selected a set of important indicators composed of 9 routine laboratory indicators and trained the gastric cancer LNM prediction model,named V9.Additionally,through comparative experiments,it was found that the Adaboost algorithm based on the boosting strategy had the best performance,with evaluation metrics such as area under the curve,F1 score,accuracy,sensitivity,and specificity ranging from 0.833 to 0.968.The accuracy of the predictions on the validation set was 94.12%.Conclusion V9 was a gastric cancer LNM prediction model that has auxiliary clinical diagnostic value.It can be used to assess the risk of patients accurately and provide a basis for clinical decision-making.

Aldehyde oxidase (AOX) is a molybdoenzyme that is primarily expressed in the liver and is involved in the metabolism of drugs and other xenobiotics. AOX-mediated metabolism can result in unexpected outcomes, such as the production of toxic metabolites and high metabolic clearance, which can lead to the clinical failure of novel therapeutic agents. Computational models can assist medicinal chemists in rapidly evaluating the AOX metabolic risk of compounds during the early phases of drug discovery and provide valuable clues for manipulating AOX-mediated metabolism liability. In this study, we developed a novel graph neural network called AOMP for predicting AOX-mediated metabolism. AOMP integrated the tasks of metabolic substrate/non-substrate classification and metabolic site prediction, while utilizing transfer learning from ¹³C nuclear magnetic resonance data to enhance its performance on both tasks. AOMP significantly outperformed the benchmark methods in both cross-validation and external testing. Using AOMP, we systematically assessed the AOX-mediated metabolism of common fragments in kinase inhibitors and successfully identified four new scaffolds with AOX metabolism liability, which were validated through in vitro experiments. Furthermore, for the convenience of the community, we established the first online service for AOX metabolism prediction based on AOMP, which is freely available at https://aomp.alphama.com.cn.

The amount of data generated by the human experience in medical cases of classic formulas is large and the research value is high， but how to extract valuable information from these massive data is an important problem of researches on classical formulas. It is concluded that there are many problems in the current study of human experience in classical formulas， such as large amount of data， uneven quality， weak extrapolation and clinical application， which seriously affected the evidence strength of human experience in classical formulas and the contribution to experience accumulation and theoretical support. Therefore， from the structural perspective of the research questions， this paper proposed the research ideas of human experience in medical cases of classic formulas： firstly， according to the characteristics of traditional Chinese medicine （TCM） cases， based on the PICO model， which refers parti-cipants （P）， intervention （I）， comparisons （C）， and outcomes （O）， a TCM medical record evaluation tool in line with the evidence-based concept was constructed to evaluate the quality of medical cases； secondly， constructing a standardized database of human experience in classical formulas and using data mining algorithms to explore the deep relationship hidden in human experience； finally， the clinical value evaluation is carried out to verify the effectiveness of the diagnosis and treatment rules of classical formulas to achieve clinical transformation.

AIM:To evaluate the efficacy,safety,and economy of camrelizumab(CAM)combined with platinum-containing chemotherapy(CT)for the first-line treatment of locally advanced/meta-static non-small cell lung cancer(NSCLC).METH-ODS:Chinese and English databases such as Pubmed,the Cochrane Library,China Knowledge Network,Wanfang Data,and other related web-sites were systematically searched.After literature screening,quality assessment,and data extraction of the literature according to the inclusion and ex-clusion criteria,two researchers conducted a rapid health technology assessment(HTA).RESULTS:A total of 7 systematic evaluations/Meta-analyses and 17 economics evaluations were included.In terms of effectiveness,compared to docetaxel che-motherapy,CAM+CT significantly prolonged the overall survival(OS),progression-free survival(PFS),and improved the objective remission rate(ORR)of mutation-negative patients with locally ad-vanced/metastatic NSCLC.Compared with CT and pembrolizumab(PEM),CAM+CT significantly pro-longed the PFS,and improved the ORR of mutation-negative patients with locally advanced/metastatic NSCLC.Subgroup analysis showed that CAM+CT significantly prolonged PFS in patients with PD-L1 ≥1％and PD-L1 ≥ 50％compared with CT.Compared with CT,CAM+CT significantly prolonged the OS and PFS of mutation-negative patients with locally advanced/metastatic squamous NSCLC.Compared with sintilimab(SIN),CAM+CT significantly pro-longed the PFS of mutation-negative patients with locally advanced/metastatic squamous NSCLC.Sub-group analysis showed that CAM+CT significantly prolonged OS in patients with PD-L1＜1％com-pared with CT.In terms of safety,CAM+CT was comparable in terms of the occurrence of all grades of adverse events,but the incidence of grade 3 or higher treatment-related adverse events was significantly increased compared with CT and PEM for mutation-negative locally advanced/meta-static NSCLC patients.CAM+CT was significantly in-creased the occurrence of all grades of adverse events compared with CT,but was comparable in terms of the occurrence of grade 3 or higher treat-ment-related adverse events.In terms of economy,CAM+CT has a cost-effectiveness advantage over CT for patients with mutation-negative advanced/metastatic squamous NSCLC.CAM+CT has a cost-effectiveness advantage over CT and PEM+CT;and CAM+CT does not have a cost-effectiveness ad-vantage over SIN+CT for patients with mutation-negative locally advanced/metastatic non-squa-mous NSCLC.CONCLUSION:CAM+CT has good ef-ficacy and cost-effectiveness for the first-line treat-ment of locally advanced/metastatic NSCLC,and the safety aspect is compared with CT,PEM or slightly worse.

Objective:To systematically evaluate and integrate the qualitative research on the real experience of children and adolescent cancer survivors returning to school.Methods:CNKI, VIP, Wanfang Database, China Biomedical Medline Disc, CINAHL, Web of Science, PubMed, SinoMed, Embase and Cochrane Library were searched for collecting qualitative research on the real experience of children and adolescent cancer survivors returning to school, and the search period was from establishment of databases to May 2022. The quality of the literature was evaluated using the Australian Joanna Briggs Institute Evidence-Based Health Care Centre Quality Evaluation Criteria for Qualitative Research (2016 edition). Meta integration method was used to integrate the results.Results:A total of 9 literatures were included and 39 research results were extracted, which were summarized into 8 new categories and summarized into 3 integrated results, namely, influencing factors of returning to school, benefits of returning to school, and support and demand for returning to school.Conclusions:Returning to school has a certain effect on the physical and mental health, life, education and social interaction of children and adolescent cancer survivors. Medical personnel should pay attention to the process of children and adolescent cancer survivors returning to school, and provide targeted professional support to help them improve their quality of life.

Objective:To systematically evaluate the quality of continuing care services carried out by nursing staff in China, comprehensively integrate the influencing factors of continuing care services, and provide guidance for promoting the development of continuing care in China.Methods:PubMed, EMbase, Web of Science, the Cochrane Library, CMB, SinoMed, CINAHL, CNKI, Wanfang Data and VIP related qualitative studies were searched from the database establishment to March 2022. The NoteExpress software was used to screen and analyze the literature, the 2017 Australian JBI Evidence-based Health Care Center quality research quality evaluation standard was used to conduct qualitative evaluation of the literature, and the Meta-integration method was adopted to carry out pooled integration. The ConQual approach was used to evaluate the quality of the integrated results.Results:A total of 39 results were extracted from 11 studies. Eleven new categories were summarized and four integrated results were obtained, which were: nurses lack relevant cognitive, motivational and behavioral skills; patients have poor compliance and low trust in medical prescriptions; lack of team management, method guidance and system standards; lack of connection sharing, input supply and upper protection. The total evidential quality of the integration results was intermediate.Conclusions:At present, nurses should strengthen their own ability, pay attention to patient education, enhance the sense of trust between doctors and patients. Managers should pay attention to team building, standardize the service standards and systems. The state should increase input, improve social policy support and legal protection; for the orderly development of continuity of care services escort.

Objective:To systematically evaluate and summarize the cognition and experience of nursing students on death events of patients in clinical experience.Methods:This is a Meta-integration. PubMed, Embase, Web of Science, Cochrane Library, China Biology Medicine (CBM) , SinoMed, CINAHL, China National Knowledge Infrastructure, WanFang and VIP databases were searched for qualitative studies on nursing students' experience of patient death in clinical practice. The retrieval time was from the database construction to October 30, 2021. The quality of the literature was evaluated using the 2017 version of Australian Joanna Briggs Institute (JBI) Evidence-based Health Care Center Qualitative Research Quality Evaluation criteria, and the integrative/aggregative synthesis method was used to summarize the included studies.Results:A total of 17 studies were included, 67 research results were extracted and similar results were summarized into 12 new categories to form 4 integrated results, such as negative emotion and change of nursing students, positive emotion and change of nursing students, internal and external challenges in the process of experiencing patient death and multiple strategies for nursing students to cope with patient death.Conclusions:Experience of clinical death events will bring dual emotional experience and changes to nursing students. Clinical and school educators should guide them to form a positive outlook on life and death and values, give timely health education and support and constantly improve the clinical death coping ability of nursing students.