Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on families and society. Primary prevention is the cornerstone of stroke control, as early intervention on risk factors can effectively reduce its incidence. Therefore, the development of predictive models for first-ever stroke risk holds substantial clinical value. In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. Second, there is a need to diversify data types and optimize model architectures to construct more comprehensive and precise predictive models. Lastly, particular attention should be given to the clinical validation of models in real-world settings. This not only enhances the robustness and generalizability of the models but also promotes physicians' understanding of predictive models, which is crucial for their application and dissemination.

OBJECTIVE: To analyze the positive rate and distribution of anti-M unexpected antibody in pediatric inpatients aged 0 to 14 years in central China. METHODS: A total of 30 049 pediatric inpatients admitted to the Second Xiangya Hospital of Central South University, Wuhan Children's Hospital and Children's Hospital Affiliated of Zhengzhou University from May 2020 to August 2022 were enrolled in this study, and relevant clinical data were collected. Blood samples from the patients were tested for blood typing and screened for unexpected antibodies. For samples that screened positive for unexpected antibodies, identification was conducted using the identification panel to determine the specificity of the antibodies. The distribution and differences of anti-M antibodies in pediatric patients of different sexes, ages, blood groups, disease types, with or without a history of blood transfusion, and across different regions were analyzed. RESULTS: Among 30 049 inpatients, the positive rate of unexpected antibodies was 0.91% (273/30 049), of which the positive rate of anti-M antibodies was 0.44% (131/30 049). The positive rate of anti-M antibodies in the neonates aged 0 to < 1 month was 0.10% (5/4 881), and all of them were IgG antibodies from their mothers; The positive rate of anti-M antibodies for the group aged from 1 month to < 1 year old was 0.23% (7/3 108), with no anti-M antibodies detected in patients aged 1-6 months; The positive rates of anti-M antibodies in the 1-4 years old group, 5-9 years old group, and 10-14 years old group were 0.87% (88/10 064), 0.38% (27/7 190), and 0.08% (4/4 806), respectively. The positive rate of anti-M antibodies in the 1-4 years old group was significantly higher than that of the other groups ( P <0.001), and there were also statistical differences in the positive rate between the 5-9 years old group and the 0-< 1 month and 10-14 years old groups ( P <0.001). The prevalences of anti-M antibodies in ABO blood group A, B, O and AB were 0.32% (30/9 482), 0.70% (58/8 293), 0.32% (31/9 595) and 0.45% (12/2 679), respectively. The prevalence of anti-M antibodies in patients with blood group B was significantly higher than that in patients with blood groups A and O ( P <0.05). The prevalences of anti-M antibodies in Hunan, Hubei and Henan was 0.18%, 0.32% and 0.71%, respectively. The prevalence of anti-M antibodies in Henan was significantly higher than that in Hunan and Hubei ( P <0.05), and the distribution showed obvious regional differences between the north and the south. There were no significant differences in the positive rate of anti-M antibodies between the children with different sexes, disease types, and with or without a history of blood transfusion (P >0.05). CONCLUSION This study reveals the distribution pattern of anti-M antibodies in pediatric inpatients aged 0-14 years in central China, which has reference value for the research on unexpected red blood cell antibodies in Chinese children.
Humans ; Child ; China ; Infant ; Child, Preschool ; Adolescent ; Female ; Male ; Inpatients ; Infant, Newborn ; Blood Grouping and Crossmatching ; Antibodies/blood*

BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve

OBJECTIVE: To evaluate the effects of Chinese patent medicine Huatuo Zaizao Pill (HTZZ) on neurological function and limb motor in ischemic stroke (IS) patients during convalescence. METHODS: This is a prospective, open-labelled, randomized controlled trial. Patients with IS were recruited from the Neurology Department of Xiyuan Hospital of China Academy of Chinese Medical Sciences from May 2021 to June 2023. Eligible participants were randomly assigned to the HTZZ (40 cases) or control group (40 cases) at a ratio of 1:1. The HTZZ group was treated with oral HTZZ (8 g, thrice daily) combined with conventional treatment, while the control group received only conventional treatment. The treatment duration was 12 weeks. The primary outcome was the change in Modified Ashworth Scale (MAS) score from baseline to week 6 and 12. Secondary outcomes included changes in scores of National Institute of Health Stroke Scale (NIHSS), Fugl-Meyer Assessment (FM), and Barthel Index (BI) from baseline to week 6 and 12, as well as lipid indices after 12 weeks. All adverse events (AEs) were recorded and liver and kidney indices were evaluated. RESULTS: A total of 72 patients completed the study (38 in the HTZZ group and 34 in the control group). Compared with the control group, the HTZZ group demonstrated significant improvements in MAS, NIHSS, FM, and BI scores following 6 and 12 weeks of treatment in both intent-to-treat and per-protocol analyses (all P<0.05). No significant differences were noted between groups in lipid indices, AEs, and liver and kidney dysfunction after 12 weeks (P>0.05). CONCLUSIONS HTZZ alleviated spasticity and enhanced neurological function and prognosis of IS patients during convalescence. However, further evaluation of HTZZ's effect on IS outcomes is warranted in clinical trials with larger sample sizes and extended observation periods. (Trial registration No. NCT04910256).
Humans ; Drugs, Chinese Herbal/pharmacology* ; Male ; Female ; Ischemic Stroke/physiopathology* ; Middle Aged ; Aged ; Recovery of Function/drug effects* ; Convalescence ; Extremities/physiopathology* ; Treatment Outcome ; Prospective Studies

Clear aligner treatment is a novel technique in current orthodontic practice. Distinct from traditional fixed orthodontic appliances, clear aligners have different material features and biomechanical characteristics and treatment efficiencies, presenting new clinical challenges. Therefore, a comprehensive and systematic description of the key clinical aspects of clear aligner treatment is essential to enhance treatment efficacy and facilitate the advancement and wide adoption of this new technique. This expert consensus discusses case selection and grading of treatment difficulty, principle of clear aligner therapy, clinical procedures and potential complications, which are crucial to the clinical success of clear aligner treatment.
Humans ; Consensus ; Orthodontic Appliance Design ; Orthodontic Appliances, Removable ; Tooth Movement Techniques/methods* ; Malocclusion/therapy* ; Orthodontics, Corrective/instrumentation*

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

OBJECTIVES: This study aimed to investigate the potential mediating role of plasma phosphorylated tau217 (p-tau217) in the association between periodontitis and mild cognitive impairment (MCI). METHODS: In this case-control study, patients diagnosed with MCI in the Neurology Department of the First Affiliated Hospital of Shandong Second Medical University from November 2023 to May 2024 were selected as the case group (MCI group). Cognitively normal (CN) volunteers, matched for age and education level and recruited from the physical examination center during the same period, served as the control group (CN group). The general demographic data of the study participants were collected. The Beijing versions of the Montreal Cognitive Assessment (MoCA), clinical dementia rating (CDR), and activities of daily living scale (ADL) were used to assess neuropsychological functions. Clinical periodontal examinations were conducted, the periodontal inflamed surface area (PISA) was calculated, and the periodontitis stage was determined in accordance with the 2018 classification. Fasting elbow venous blood samples were collected in the morning, and blood biochemical indicators were measured. Plasma p-tau217 levels were detected using enzyme-linked immunosorbent assay (ELISA). Statistical analyses were performed using t-test, Mann-Whitney U test, chi-square test, partial correlation analysis, multivariate Logistic regression analysis, multiple linear regression analysis, restricted cubic spline (RCS) regression analysis, and mediation effect analysis. RESULTS: Among the 192 participants, 96 belong to the MCI group and 96 to the CN group. The prevalence of periodontitis was 63.5% in the MCI group and 43.8% in the CN group, with a statistically significant difference (χ²=7.561, P=0.006). The plasma p-tau217 levels in the MCI group were significantly higher than those in the CN group [7.00 (4.27-9.65) ng/mL versus 2.02 (0.80-3.81) ng/mL, Z=-8.108, P<0.001]. Partial correlation analysis revealed that plasma p-tau217 levels were positively correlated with all the clinical periodontal indices (all P<0.001). After adjustments for baseline covariates, multivariate Logistic regression indicated that periodontitis was an independent risk factor for MCI. Patients with periodontitis had a 1.977-fold higher MCI risk than those without periodontitis (OR=1.977, 95%CI: 1.088-3.594, P=0.025). Moreover, the MCI risk for stage Ⅰ/Ⅱ periodontitis and stage Ⅲ/Ⅳ periodontitis was 1.878 times (OR=1.878, 95%CI: 1.029-3.425, P=0.040) and 2.625 times (OR=2.625, 95%CI: 1.073-6.246, P=0.035) higher than that for patients without periodontitis, respectively. Trend test showed that the MCI risk increased with periodontitis severity (P_trend=0.016). After adjustments for baseline covariates, multiple linear regression analysis showed that periodontitis was an independent risk factor for increased plasma p-tau217 levels (β=3.309, 95%CI: 2.363-4.254, P<0.001). Compared with patients without periodontitis, those with stage Ⅰ/Ⅱ periodontitis (β=1.838, 95%CI: 0.869-2.806, P<0.001) and stage Ⅲ/Ⅳ periodontitis (β=5.539, 95%CI: 4.442-6.636, P<0.001) had significantly higher plasma p-tau217 levels. In addition, trend test indicated that plasma p-tau217 levels increased with periodontitis severity (P_trend<0.001). After adjustments for baseline covariates, RCS regression analysis further revealed that PISA had a positive linear dose-response relationship with MCI risk (P_overall=0.002, P_nonlinear=0.344) and plasma p-tau217 levels (P_overall<0.001, P_nonlinear=0.140). After adjustments for baseline covariates, mediation analysis showed that plasma p-tau217 mediated the association between periodontitis and MCI, with a mediation proportion of 13.99% (95% Bootstrap CI: 0.38%-49.39%, P=0.038). CONCLUSIONS Periodontitis was independently positively associated with MCI risk, and plasma p-tau217 plays a mediating role in this association.
Humans ; Cognitive Dysfunction/complications* ; tau Proteins/blood* ; Periodontitis/complications* ; Case-Control Studies ; Male ; Female ; Phosphorylation ; Aged ; Middle Aged ; Activities of Daily Living

Critically ill patients are at high risk for hospital acquired infections, which can significantly increase the mortality rate and treatment costs for these patients. Therefore, in the process of treating the primary disease, strict prevention and control of new hospital infections is an essential component of the treatment for critically ill patients. The treatment of critically ill patients involves multiple steps and requires a concerted effort from various aspects such as theory, management, education, standards, and supervision to achieve effective prevention and control of hospital infections. However, there is currently a lack of unified understanding and standards for hospital infection prevention and control. To address this, in March 2024, a group of experts in critical care medicine, infectious diseases, and hospital infection from China discussed the current situation and issues of hospital infection control in the intensive care unit together. Based on a review of the latest evidence-based medical evidence from both domestic and international sources, 2024 Expert Consensus on Hospital Acquired Infection Control Principles in the Department of Critical Care Medicine was formed, aiming to provide a basis for the development of hospital infection prevention and control strategies in the field of critical care medicine.

To establish a medical imaging teacher competency model and evaluate its application value in group teaching for undergraduates.

Background and objective Lung cancer is a leading cause of cancer-related deaths.Non-small cell lung cancer(NSCLC)is the most common pathological subtype,with adenocarcinoma being the predominant type.FAT atypical cadherin 1(FAT1)is a receptor-like protein with a high frequency of mutations in lung adenocarcinoma.The protein encoded by FAT1 plays a crucial role in processes such as cell adhesion,proliferation,and differentiation.This study aims to investigate the expression of FAT1 in lung adenocarcinoma and its relationship with immune infiltration.Methods Gene expression levels and relevant clinical information of 513 lung adenocarcinoma samples and 397 adjacent lung samples were obtained through The Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)data.The mRNA expression levels of the FAT1 gene in lung adenocarcinoma tissues were analyzed,along with its association with the prognosis of lung adenocarcinoma patients.Pathway enrichment analysis was conducted to explore the signaling pathways regulated by the FAT1 gene.Immu-noblotting was used to detect the differential expression of FAT1 in lung epithelial cells and various lung cancer cell lines,while immunohistochemistry was employed to assess FAT1 expression in lung cancer and adjacent tissues.Results FAT1 gene muta-tions were identified in 14%of lung adenocarcinoma patients.TCGA database data revealed significantly higher FAT1 mRNA expression in lung adenocarcinoma tissues compared to adjacent lung tissues.Kaplan-Meier analysis indicated lower survival rates in lung adenocarcinoma patients with higher FAT gene expression.Pathway enrichment analysis suggested the involve-ment of FAT1 in tumor development pathways,and its expression was closely associated with immune cell infiltration.Immu-nohistochemical validation demonstrated significantly higher expression of FAT1 in cancer tissues compared to adjacent lung tissues.Conclusion FAT1 mRNA is highly expressed in lung adenocarcinoma tissues,and elevated FAT1 mRNA expression is associated with poor prognosis in lung adenocarcinoma patients.FAT1 may serve as a potential biomarker for lung cancer.