Objective To understand the current status of blood pressure variability and dyslipidemia in young and middle-aged patients with ischemic stroke, and to explore their relationship with prognosis. Methods A total of 312 young and middle-aged patients with ischemic stroke who met the inclusion criteria in Beijing Pinggu District Hospital from January 2022 to January 2025 were selected. The prognosis status [modified Rankin scale (mRS)], blood pressure variability, and blood lipids [total cholesterol (TC), triacylglycerol (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] were analyzed. The correlation of blood pressure variability and blood lipids levels with prognosis was explored by logistic regression analysis. Results There were 206 patients with good prognosis and 106 patients with poor prognosis. The number of patients who received diversified health education in the good prognosis group was more than that in the poor prognosis group (P<0.05). The systolic blood pressure successive variation (SV) and average real variability (ARV), and diastolic blood pressure SV and ARV were lower in the good prognosis group than those in the poor prognosis group (P<0.05). Furthermore, compared with the poor prognosis group, the good prognosis group had lower levels of TC, TG and LDL-C, while the number of patients receiving diversified health education and the level of HDL-C were higher (P<0.05). After logistic regression analysis, it was found that the levels of TC, TG, LDL-C, systolic blood pressure SV and ARV, and diastolic blood pressure SV and ARV were risk factors for poor prognosis. Conversely, receiving diversified health education and HDL-C level were protective factors for poor prognosis (P<0.05). Conclusion High blood pressure fluctuation, dyslipidemia, and lack of health education will increase the risk of poor prognosis in young and middle-aged stroke patients.

Objective To evaluate the reliability and validity and perform cost-consequence analysis of the brief version of the Montreal cognitive assessment(MoCA)for identifying cognitive impairment in a community-based population ≥50 years of age.Methods The internal consistency and retest reliability of the brief version of the MoCA were analyzed,and the area under the curve(AUC),sensitivity,and specificity were determined to discriminate mild cognitive impairment(MCI)and dementia with the clinical dementia rating(CDR)as the diagnostic criterion.The consistency between the brief version and the full version was analyzed by the Kappa test and the Bland-Altman method,and the number of individuals entering the diagnostic assessment and the overall assessment time were estimated and compared between the two versions.Results A total of 303 individuals were included in this study,of whom 192,94,and 17 had normal cognitive function,MCI,and dementia,respectively.The Cronbach's α and re-test coefficients of the brief version of MoCA were 0.754 and 0.711(P<0.001),respectively.The brief version showed the AUC,sensitivity,and specificity of 0.889,74.5%,and 93.8% for identifying MCI,and 0.994,100%,and 93.8% for identifying dementia,respectively.When the brief version of MoCA was used to identify 94 patients with MCI in 303 individuals,107 individuals required additional diagnostic assessment,with an overall assessment time of 142.4 h,which represented decreases of 21.3% and 32.7%,respectively,compared with those of the full version.When the brief version of MoCA was used to identify 17 patients with dementia in 303 individuals,35 individuals required additional diagnostic assessment,with an overall assessment time of 70.4 h,a decrease of 29.5% in the time cost compared with the full version.Conclusions The brief version of MoCA can identify cognitively impaired individuals in a community-based middle-aged and elderly population,with diagnostic validity comparable to that of the full version but less time cost and fewer individuals needing additional diagnostic assessment to detect true-positive cases.It could be expanded for use in the community-based primary screening setting.
Humans ; Aged ; Middle Aged ; Cognitive Dysfunction/diagnosis* ; Male ; Female ; Mental Status and Dementia Tests ; Reproducibility of Results ; Dementia/diagnosis* ; Sensitivity and Specificity ; Aged, 80 and over ; Cost-Benefit Analysis

Objective:This study aims to analyze historical trends and predict future trends of disability-adjusted life years (DALYs) attributable to high BMI for osteoarthritis (OA) in China. OA is a common chronic degenerative joint disease, with high body mass index (BMI) being a significant risk factor. in China.Methods:Based on the Global Burden of Disease (GBD) 2021 database, we analyzed trends in high-BMI-attributable OA. The ASR of hogh-BMI-attributable OA DALYs increased from DALYs in China from 1990 to 2021. A Bayesian age-period-cohort (BAPC) model was used to predict trends from 2022 to 2046. Age-standardized rates (ASR) and estimated annual percentage changes (EAPC) were calculated to assess trend changes of trends. A Bayesian age-period-cohort (BAPC) model was used to predict trends from 2022 to 2046. Chi-square tests were used to compare differences in high BMI attribution proportions between regions and years.Results:From 1990 to 2021, China′s OA DALYs increased from 1.829 to 5.327 million, with the proportion attributable to high BMI rising from 13.47% to 21.86% ( χ2=60 527.25, P<0.001). The ASR of high-BMI-attributable to OA increased from 27.4 (-2.2, 81.5) per 100,000 to 53.0 (-4.7, 150.7) per 100 000, with an EAPC of 2.48% [95% (uncertainty interval, UI): 2.35, 2.62]. In 2021, females showed significantly higher ASR (69.2 per 100 000) than males (36.1 per 100 000). Knee OA (ASR: 50.5/100 000) demonstrated substantially higher burden than hip OA (ASR: 2.5/100 000). Age effect analysis showed DALYs peaked at ages 80~90; period effect indicated accelerated growth after 2005; cohort effect showed a U-shaped trend with the 1990 birth cohort having the highest relative risk (approximately 3.0). Projections indicated that up to 2046, total OA DALYs will reach approximately 2.39 million with an ASR of about 71, showing more significant growth among females (ASR reaching 100). Conclusion:High-BMI-attributable to OA DALYs in China shows a significant upward trend, and is expected to continue. This trend is more pronounced among females and elderly populations than males, highlighting the urgency of implementing preventive measures for high-risk groups, particularly in weight management.

Objective To establish a method for determining the concentration of contezolid in human cerebro spinal fluid(CSF)using ultra high performance liquid chromatography tandem mass spectrometry(UPLC-MS/MS).Methods Linezolid as the internal standard(IS)and acetonitrile as the protein precipitant.Waters ACQUITY UPLC? BEH C18(2.1 mm × 50.0 mm,1.7 μm)chromatographic column was used for separation,with a mobile phase of 0.1％formic acid aqueous solution-0.1％formic acid acetonitrile solution,gradient elution method,flow rate was 0.4 mL·min-1,column temperature was 40 ℃,automatic sampler temperature was 10 ℃,the analysis time was 4 minutes.Electrospray ion source,positive ion mode,and multi-reaction monitoring scanning mode were used.The monitoring and analysis ion pairs for contezolid were m/z 409.15→269.14,and the monitoring ion pairs for linezolid were m/z 338.14 → 195.10.The specificity,standard curve and lower limit of quantification(LLOQ),precision and recovery rate,matrix effect,residual effect,dilution effect and stability of the method were investigated.Results The endogenous substances in CSF do not interfere with the determination of the analyte contezolid and the internal standard linezolid,and the method has good specificity.Satisfactory linearity was observed within the concentration range of 20-5 000 ng·mL-1 for contezolid in CSF,the calibration curve was y=8.97 × 10-4x+1.95 × 10-2(r=0.999 1),and the LLOQ was 20 ng·mL-1.Precision of the intra-batch and inter-batch relative standard deviation(RSD)＜15％,and the extraction recovery were 90.96％-98.71％.The average normalized matrix effect factor of the quality control CSF sample were 94.39％-100.25％.The RSD of dilution effect＜15％.The CSF samples of contezolid were stored at room temperature,in the automatic sampler for 72 hours,-20 ℃ and-80 ℃ for 90 days,and subjected to repeated freezing and thawing three times,were stable with all of which the RSD＜10％.Conclusion This method is high sensitivity,rapid,simple and accurate,which is very suitable for the therapeutic drug monitoring of contezolid in human CSF.

Objective To explore the predictive value of automated breast ultrasound(ABUS)features combined with Ki-67 in predicting pathological complete response(pCR)after neoadjuvant chemotherapy(NAC)in triple-negative breast cancer(TNBC).Methods A retrospective analysis was conducted on 127 female TNBC patients treated at Xijing Hospital,Air Force Medical University from March 2019 to December 2023.All patients underwent NAC and surgical treatment after ABUS examination.Based on postoperative pathological results,patients were divided into pCR group(n=60)and non-pathological complete response(npCR)group(n=67).Differences in various parameters before NAC were compared between the two groups.LASSO regression was used to identify independent factors influencing pCR after NAC in TNBC patients,and a predictive model was constructed using multivariate logistic regression.The prediction model was internally validated using the Bootstrap method(1000 resamples).The discriminative ability of the model was evaluated using receiver operating characteristic(ROC)curves,and the area under the curves(AUCs)of different prediction models were compared using De-long's test.The accuracy of the model was assessed using calibration curves,and the clinical benefit of the model was evaluated using clinical decision curve analysis(DCA).Results Significant differences were observed between two groups in terms of age,Ki-67,menopausal status,tumor type,posterior echo,coronal plane convergence sign,coronal plane skip sign,and coronal plane white wall sign before NAC(P<0.05).LASSO regression analysis showed that Ki-67,coronal plane convergence sign,and coronal plane white wall sign were independent influencing factors of pCR after NAC in TNBC patients(P<0.05).The AUC of the multivariate logistic regression model based on Ki-67 was 0.733(95%CI 0.646-0.819),the AUC of ABUS model was 0.777(95%CI 0.695-0.858),and the AUC of ABUS combined with Ki-67 model was 0.816(95%CI 0.741-0.890).De-long's test showed that the AUC of the combined model was higher than those of ABUS feature model and Ki-67 model,with statistically significant differences(P<0.05).There was no significant difference in the AUC between ABUS feature model and Ki-67 model(P=0.40).Hosmer-Lemeshow test indicated that the combined model had a good fit(P=0.304).Internal validation results showed that the combined model had a good stability with a consistency index(C-index)of 0.820(95%CI 0.726-0.879).The calibration curve demonstrated good consistency between the predicted and actual probabilities of the combined prediction model,and the DCA curve indicated that the model had favorable clinical benefit.Conclusion The combined ABUS feature and Ki-67 model can be used to predict the probability of pCR after NAC in TNBC patients,providing a reference for the formulation of clinical treatment plans in TNBC patients.

Facing of mounting resource constraints and rising demands for personalization in medical education,regional anatomy teaching urgently requires transformation.In this paper,we focus on the regional anatomy of the thoracic wall,in order to explore a novel AI-driven teaching paradigm.Anchored in the core principle of"virtual-real integration with cadaveric dissection as the cornerstone,"the paradigm redefines educational objective and constructs an intelligent,closed-loop teaching model integrating students,computers,and instructors.Leveraging the robust support of digital intelligence(e.g.,DeepSeek),this paradigm incorporates interactive method including group collaboration,branching instruction,and gamified assessments.It achieves a comprehensive intelligent transformation of the entire teaching process-from goal setting and plan customization to activity implementation,task completion,outcome exchange,multidimensional evaluation,and reflective iteration.This new paradigm centers on medical students and leverages digital intelligence to activate deep personalized learning potential.It seamlessly integrates fundamental anatomical knowledge with clinical scenarios(e.g.,key anatomy in breast cancer surgery,flap design in breast reconstruction),and significantly enhances clinical decision-making abilities,scientific research and innovative thinking,as well as medical humanistic literacy,paving a new path for intelligent medical education.

Objective To explore the integration value of mobile virtual reality devices in the classroom teaching of human anatomy,and to evaluate their potential impact on the in-depth construction of human anatomy knowledge,the cultivation of spatial cognitive ability,and the transformation of teaching paradigms from the perspectives of cognitive load theory and situated learning.Methods The undergraduate students majoring in clinical medicine in Peking University were selected as the research objects.Among them,students in grade 2019 were the control group,and students in grade 2022 were the experimental group,introducing movable virtual anatomy equipment and other teaching auxiliary method in theory and practice courses.The final exam scores of the two groups of students were compared,and a questionnaire survey was conducted for the experimental group after the course,and the survey result were statistically analyzed.Results The final examination result showed that the average score of the experimental group was 82.47±10.19,and the average score of the control group was 74.82±16.56,which was significantly higher in the experimental group than in the control group,with statistical significance(P＜0.05).The questionnaire survey result showed that compared with traditional classroom teaching,94.62％of students preferred the new auxiliary teaching mode such as VR,96.77％of students believed that VR assisted teaching could achieve the traditional teaching effect or better,95.7％of them think that it improved students' interest in learning human anatomy,and 98.92％thought that it improved students' knowledge of anatomy.Conclusion The application of mobile virtual reality devices in anatomy classroom teaching provides immersive and interactive 3D visualization teaching scenarios,effectively reducing students' cognitive load on abstract and complex anatomical structures,promoting spatial understanding and knowledge internalization,significantly improving teaching effectiveness and self-learning ability,thus changing the traditional anatomy teaching mode and laying a solid foundation for the development of future medical education and the cultivation of medical talents.

Objective To explore how to organically integrate the human anatomy curriculum with medical imaging,thereby enhancing medical students' spatial understanding and 3D reconstruction skills,and strengthening their anatomical foundation and clinical competence.This approach aims to bridge the gap between basic science and clinical practice while cultivating clinical thinking abilities.Methods In this study,the medical imaging knowledge was introduced into the anatomy curriculum in Peking University,enabling students to better understand the human body structure and its relationship to the clinical practice with aid of the ultrasound and MRI method.After the course concluded,we evaluated the examination result and learning satisfaction data from the anatomy course.Results The result showed that students provided positive feedback,showing increased interest in learning,enhanced initiative,significant improvement in their anatomy grades(P＜0.01),and a notable enhancement in their ability to apply basic knowledge to solve clinical problems(P＜0.05).Conclusion The integrated teaching approach of medical imaging and human anatomy courses provides innovative ideas and practical method for medical students to learn the basic medical course and enhance their clinical skills in the future.

Peer support can improve negative emotions, cognitive level, self-coping, and quality of life in adolescents and young adults with cancer. The rise of digital health technology has facilitated the rapid development of online medical interventions, providing an opportunity for the development of online peer support. This study reviewed the intervention modalities, application forms, application effects and should prospects of online peer support applied in adolescent and young adult cancer patients, to provide a reference for improving healthcare professionals to conduct high-quality online peer support interventions.