Objective Based on statistical parametric mapping(SPM),to analyze the variability characteristics of lower limb in females with generalized joint hypermobility(GJH)during drop jump.Methods Fifteen females with GJH(GJH group)were recruited based on the Beighton scores,and 15 healthy females(control group)were matched.Kinematic and kinetic data were synchronously collected using the Qualisys infrared motion capture system and Kistler three-dimensional(3D)force platform.Joint angles and torques were computed using OpenSim.Custom Matlab scripts were used to calculate the standard deviation curves of joint angles,and SPM was applied to analyze differences in movement variability between the two groups during the eccentric,coupling,and concentric phases of drop jumps.The maximum joint flexion angles and torques(mean and standard deviation)were calculated to support the findings,and effect sizes were evaluated using Cohen's d.Results Significant differences were observed between the two groups during various phases of drop jumps.In all statistically significant periods,the GJH group exhibited higher joint angle standard deviations compared to the control group(P＜0.05).Differences were primarily concentrated in joint flexion movements.During the coupling phase at different heights,the standard deviation of knee joint flexion angles in GJH group consistently exceeded that of control group(P＜0.001).Discrete variables showed significant differences in the standard deviation of the maximum knee flexion angles at different heights:At 30 cm,P=0.001,Cohen's d=2.520;at 40 cm,P=0.014,Cohen's d=1.739;and at 50 cm,P=0.005,Cohen's d=1.768.No significant group differences were found in the mean values or standard deviations of the maximum joint flexion angles and torques.Conclusions Females with GJH exhibit higher movement variability during drop jumps compared to healthy females,particularly in knee flexion movements during the coupling phase.Excessive variability reflects insufficient motor control,reducing their ability to resist external disturbances and leading to high-risk movement patterns(e.g.,excessive flexion or knee valgus).

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Objective To evaluate the impact of integrated medical and nursing care teaching ward rounds on the theo-retical knowledge learning and clinical operational skill training of primary-level medical staff.Methods A total of 90 clinical healthcare workers(39 physicians and 51 nurses)from our hospital between May and December2024 were randomly assigned to either a control group or an intervention group.The control group participated in traditional three-tier nursing teaching ward rounds,while the intervention group underwent integrated medical and nursing care teaching ward rounds.The two groups were compared in terms of improvements in theoretical knowledge,ward round operational skills,and core clinical competencies.Re-sults Both groups demonstrated improvements in theoretical knowledge and ward round operational skills after the intervention,with the intervention group showing significantly greater gains(P＜0.05).Additionally,scores related to physical fitness,emo-tional well-being,and cognitive function improved in both groups,with significantly higher improvements in the intervention group(P＜0.05).The Clinical Nursing Skills(CINS)scores—including judgment,early warning,anticipatory thinking,and overall clinical competence—also improved significantly in the intervention group compared to the control group(P＜0.05).Conclu-sion Integrated medical and nursing care teaching ward rounds significantly enhance theoretical knowledge,operational profi-ciency,and core clinical competencies among primary healthcare providers.This model fosters higher professional engagement and helps cultivate qualified primary-level medical personnel who are better equipped to meet real-world clinical demands.

Three-dimensional(3D)printing technology,which is based on computer aided design,presents innovative solutions for clinical surgical treatments and is increasingly being utilized in clinical settings.By integrating medical-image processing software and a 3D printer with customized materials,physicians can efficiently fabricate a 3D model layer by layer,thus realizing the reconstruction of human-body models with specific objectives.These models vividly showcase the anatomical structures,fracture types,and rupture severity,thereby facilitating doctors in understanding the fracture being examined.Beyond serving as a mere demonstration tool,the physi-cal model assists doctors in designing personalized implants and selecting customized surgical guide plates and fixation screws.Surgeons can improve the surgical accuracy and efficacy by refining the surgical plan via preoperative simulation operations.This article presents a summary of the application of computer-simulation surgery in conjunction with 3D printing technology in various complex surgeries.Addi-tionally,the significant potential applications of 3D printing technology in the clinical orthopedics field are discussed.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective Based on statistical parametric mapping(SPM),to analyze the variability characteristics of lower limb in females with generalized joint hypermobility(GJH)during drop jump.Methods Fifteen females with GJH(GJH group)were recruited based on the Beighton scores,and 15 healthy females(control group)were matched.Kinematic and kinetic data were synchronously collected using the Qualisys infrared motion capture system and Kistler three-dimensional(3D)force platform.Joint angles and torques were computed using OpenSim.Custom Matlab scripts were used to calculate the standard deviation curves of joint angles,and SPM was applied to analyze differences in movement variability between the two groups during the eccentric,coupling,and concentric phases of drop jumps.The maximum joint flexion angles and torques(mean and standard deviation)were calculated to support the findings,and effect sizes were evaluated using Cohen's d.Results Significant differences were observed between the two groups during various phases of drop jumps.In all statistically significant periods,the GJH group exhibited higher joint angle standard deviations compared to the control group(P＜0.05).Differences were primarily concentrated in joint flexion movements.During the coupling phase at different heights,the standard deviation of knee joint flexion angles in GJH group consistently exceeded that of control group(P＜0.001).Discrete variables showed significant differences in the standard deviation of the maximum knee flexion angles at different heights:At 30 cm,P=0.001,Cohen's d=2.520;at 40 cm,P=0.014,Cohen's d=1.739;and at 50 cm,P=0.005,Cohen's d=1.768.No significant group differences were found in the mean values or standard deviations of the maximum joint flexion angles and torques.Conclusions Females with GJH exhibit higher movement variability during drop jumps compared to healthy females,particularly in knee flexion movements during the coupling phase.Excessive variability reflects insufficient motor control,reducing their ability to resist external disturbances and leading to high-risk movement patterns(e.g.,excessive flexion or knee valgus).

Objective To evaluate the impact of integrated medical and nursing care teaching ward rounds on the theo-retical knowledge learning and clinical operational skill training of primary-level medical staff.Methods A total of 90 clinical healthcare workers(39 physicians and 51 nurses)from our hospital between May and December2024 were randomly assigned to either a control group or an intervention group.The control group participated in traditional three-tier nursing teaching ward rounds,while the intervention group underwent integrated medical and nursing care teaching ward rounds.The two groups were compared in terms of improvements in theoretical knowledge,ward round operational skills,and core clinical competencies.Re-sults Both groups demonstrated improvements in theoretical knowledge and ward round operational skills after the intervention,with the intervention group showing significantly greater gains(P＜0.05).Additionally,scores related to physical fitness,emo-tional well-being,and cognitive function improved in both groups,with significantly higher improvements in the intervention group(P＜0.05).The Clinical Nursing Skills(CINS)scores—including judgment,early warning,anticipatory thinking,and overall clinical competence—also improved significantly in the intervention group compared to the control group(P＜0.05).Conclu-sion Integrated medical and nursing care teaching ward rounds significantly enhance theoretical knowledge,operational profi-ciency,and core clinical competencies among primary healthcare providers.This model fosters higher professional engagement and helps cultivate qualified primary-level medical personnel who are better equipped to meet real-world clinical demands.

Three-dimensional(3D)printing technology,which is based on computer aided design,presents innovative solutions for clinical surgical treatments and is increasingly being utilized in clinical settings.By integrating medical-image processing software and a 3D printer with customized materials,physicians can efficiently fabricate a 3D model layer by layer,thus realizing the reconstruction of human-body models with specific objectives.These models vividly showcase the anatomical structures,fracture types,and rupture severity,thereby facilitating doctors in understanding the fracture being examined.Beyond serving as a mere demonstration tool,the physi-cal model assists doctors in designing personalized implants and selecting customized surgical guide plates and fixation screws.Surgeons can improve the surgical accuracy and efficacy by refining the surgical plan via preoperative simulation operations.This article presents a summary of the application of computer-simulation surgery in conjunction with 3D printing technology in various complex surgeries.Addi-tionally,the significant potential applications of 3D printing technology in the clinical orthopedics field are discussed.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.