BackgroundArrhythmia and obsessive-compulsive disorder （OCD） frequently co-occur in clinical and epidemiological settings， yet their shared genetic basis and potential heart-brain axis mechanisms remain unclear. ObjectiveTo systematically evaluate the genetic correlation between arrhythmia and OCD， and to elucidate their underlying molecular genetic mechanisms， so as to provide molecular evidence for the "heart-brain axis" to support risk assessment and integrated clinical strategies for these comorbidities. MethodsThe aggregated data from the genome-wide association study （GWAS） of arrhythmia in the UK Biobank （7 207 cases and 477 391 controls） and the GWAS data of OCD released by the Psychiatric Genomics Consortium （2 688 cases and 7 037 controls） were integrated， all of which were limited to individuals of European ancestry. The genome-wide genetic correlations were estimated using the linkage disequilibrium score regression （LDSC） and the high-definition likelihood （HDL）. Local genetic correlation analysis was conducted using the local analysis of variance annotation （LAVA）. Multi-trait analysis of GWAS （MTAG） was employed to identify pleiotropic loci. Shared risk genes were identified by combining summary-data based Mendelian randomization （SMR） and transcriptome-wide association study （TWAS）. Functional enrichment analysis was performed based on the functional mapping and annotation （FUMA） platform. ResultsBoth LDSC （r_g=0.248， 95% CI： 0.159–0.336， P=4.82×10^-3） and HDL （r_g=0.294， 95% CI： 0.237–0.351， P=5.87×10^-4） revealed significant positive genetic correlation between arrhythmia and OCD. LAVA identified 23 significantly local correlated regions in the genome （P<2.0×10^-5）. MTAG discovered 11 genome-wide significant pleiotropic SNPs， among which rs12754189 （intron of KCNN3） had potential functional harmfulness （CADD>12.37）. SMR and TWAS jointly identified 20 shared genes， enriched in neural-cardiovascular tissues such as the cerebral cortex， amygdala， and left ventricle， and involved in DNA damage response， RNA metabolism， transcriptional regulation， and FAS signaling pathway （FDR<0.05）. ConclusionArrhythmia and OCD share a common genetic basis. The co-morbidity mechanism may involve the common vulnerability of neurons and cardiac muscle cells in terms of gene expression regulation and stress response， supporting the role of the brain-heart axis in the pathophysiology of both conditions.

Breast cancer is recognized as the most common cancer in women globally, posing a serious threat to women′s health. The treatment of breast cancer proves diverse and complex, with radiotherapy serving as a crucial treatment modality. Notably, preoperative radiotherapy holds considerable potential for improving the prognosis of patients. With the advancement in radiotherapy technology, there is a need to re-examine the clinical significance of preoperative radiotherapy for breast cancer and to further explore its applications in clinical treatment. This review provides the current status of research on preoperative radiotherapy for breast cancer, aiming to provide a reference for the radiotherapy of breast cancer.

According to statistics from the Extracorporeal Life Support Organization(ELSO),as of October 2023,a total of 198 623 patients worldwide had received extracorporeal membrane oxygenation(EC-MO)support.In recent years,the number of ECMO treatment cases in China has increased rapidly,reaching 10 656 cases in 2022.It was previously believed that fat emulsions could easily lead to ECMO system failures due to their hydrophobic nature,thereby limiting their use during ECMO.However,many clinically used drugs are lipid-soluble,and restricting their use not only increases treatment difficulty for these patients but may e-ven affect their prognosis.With advancements in material technology and membrane lung manufacturing processes,intravenous lipid emulsion(ILE)now exerts significant effects on ECMO systems.This article re-views recent domestic and international research progress regarding the effects of ILE on ECMO systems,ai-ming to provide more evidence-based medical support for ILE application in ECMO patients.

Liver transplantation is the ultimate treatment for patients with end-stage liver disease.In recent years,significant progress has been made in technological innovation and perioperative management,but its efficacy is still limited by challenges such as donor liver shortage and postoperative cardiopulmonary fail-ure.Extracorporeal membrane oxygenation(ECMO),as a cardiopulmonary support technique,provides oxy-genation and hemodynamic stability through extracorporeal circulation,demonstrating multidimensional value in the field of liver transplantation,especially in donor liver preservation and the management of complex com-plications.This article reviews the research progress of ECMO application in liver transplantation,facilitating a deeper understanding of the current status and future development directions of this technology in liver transplantation,providing references for clinical practice and scientific research.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To analyze the clinical and ultrasonic features of breast invasive ductal carcinoma in young women patients,and improve the accuracy of ultrasonic diagnosis of breast invasive ductal carcinoma in young patients.Methods:A retrospective study was conducted on patients with invasive ductal carcinoma who underwent surgery in the Second Hospital of Shandong University from December 2015 to June 2023,with complete clinical data,preopera-tive ultrasonography and postoperative pathology.All patients were divided into two groups:young group(≤35 year-old)and control group(>35 year-old).Univariate t-test and multivariate Logistic regression analyses were used to assess the factors.Results:There was a statistical difference between the young group and the control group in the accuracy of ultrasound diagnosis(young group 81%vs control group 94%,χ2=13.082,P=0.001).Compared with the control group,the young group had a shorter disease history,a higher proportion of multiple masses,posterior echo changes and hypo-vascular lesions(P<0.05).However,there was no statistical difference in family history of breast cancer,other cancer family history,clinical symptoms,size,lesion classification,palpation,location,aspect ratio,focus echo,shape,edge per-formance,bright ring sign,calcification characteristics,ER,PR,HER-2 and Ki67(P>0.05).Conclusion:The incidence rate of young breast IDC is low,while the misdiagnosis rate of ultrasound is relatively high.More attention should be paid when the patient has a short history,multiple masses,changes in the posterior echo and less lesion blood supply.

Objective In order to understand the current status and influencing factors of perioperative pulmonary rehabilitation knowledge,attitude,and practice among Chinese thoracic surgery nurses,and to provide references for managers to take targeted measures to improve their pulmonary rehabilitation knowledge,attitude,and practice level.Methods From August to October 2023,a convenience sampling method and cross-sectional descriptive survey were used to anonymously survey 1 167 thoracic surgery nurses from tertiary-level A cancer specialty hospitals and tertiary-level A general hospitals in 24 provinces through the Wenjuanxing platform.A general information questionnaire and a knowledge,attitude and practice questionnaire for lung cancer perioperative pulmonary rehabilitation nurses were used,including knowledge dimension(14 items),belief dimension(6 items),and behavior dimension(14 items),totaling 34 items.Univariate analysis and linear regression multivariate analysis were used to determine the influencing factors of the knowledge,attitude and practice level of thoracic surgery nurses in perioperative pulmonary rehabilitation.Results 1 089 nurses completed the investigation.The total standard score and the dimension scores on knowledge,attitude,and behavior of the perioperative pulmonary rehabilitation questionnaire for thoracic surgery nurses were(80.45±11.84)(73.72±14.68)(89.61±11.38)and(83.46±14.48),respectively.The nature of the hospital,whether there is an administrative position,whether the department carries out ERAS,and whether they have received pulmonary rehabilitation training are the influencing factors of the perioperative pulmonary rehabilitation knowledge,attitude,and practice level of thoracic surgery nurses(P＜0.05).Conclusion The knowledge,attitude,and practice of perioperative lung rehabilitation among thoracic surgery nurses are generally at a moderate level.However,their knowledge of perioperative lung rehabilitation is relatively insufficient,and there are many influencing factors.Managers should strengthen pulmonary rehabilitation training for thoracic surgery nurses,improve their knowledge reserves and evidence conversion capabilities,and coordinate cross-integration among multidisciplinary teams to improve their knowledge,attitude and practice in perioperative pulmonary rehabilitation.

Objective:To evaluate the effect of toric collamer lens (TICL) rotation on myopia combined with astigmatism correction after V4c TICL implantation using standardized vector analysis.Methods:An observational case series study was performed.A total of 152 patients (268 eyes) who underwent V4c TICL implantation for the correction of myopia and myopic astigmatism were enrolled at Henan Eye Hospital from January to December 2021.The preoperative spherical diopter, cylindrical diopter, and spherical equivalent (SE) were -15.00 to -3.25 D, -5.00 to -0.50 D, -16.50 to -3.88 D, respectively.Postoperative TICL vault and axis were measured by anterior segment optical coherence tomography, and postoperative TICL rotation was calculated.Uncorrected visual acuity (UCVA), best corrected visual acuity (BCVA), spherical diopter, cylindrical diopter, SE, and target astigmatism vector were recorded before and 1 month after surgery.The effectiveness index, safety index, surgically induced astigmatism vector (SIA), margin of error (ME), absolute value of the difference vector |DV|, correction index (CI), and achievement index (IS) were calculated based on the subjective refraction results 1 month after surgery and the cylindrical axis of the V4c TICL.Vector analysis parameters was compared among patients with different preoperative astigmatism, intraoperative TICL fixation, postoperative TICL rotation, and postoperative vault.The correlation between postoperative TICL rotation and TICL fixed angle deviation, postoperative vault, visual acuity and refraction, and vector analysis parameters were evaluated.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Henan Eye Hospital (No.HNEECKY-2021[13]).Written informed consent was obtained from each subject.Results:At 1 month postoperatively, the mean safety and efficacy indices were 1.27 and 1.29, respectively.There was no statistically significant difference between the predicted SE of (-0.11±0.13)D and the postoperative SE of (-0.07±0.52)D ( t=-0.994, P=0.321).UCVA, BCVA and cylinder diopter in the operative eyes were all improved after surgery compared to before surgery and the differences were statistically significant ( t=17.854, 5.446, -25.634; all P<0.001).The rotation of V4c TICL was 0° to 25°, with a mean of (5.41±4.35)°, which was positively correlated with the V4c TICL fixed angle deviation ( rs=0.461, P<0.001), negatively correlated with postoperative cylindrical diopter and positively correlated with postoperative UCVA, |DV| and SIA ( r=-0.360, 0.191, 0.205, 0.142; all P<0.05).Vector analysis between groups showed that vault, SIA and |DV| were higher and CI and IS were lower in low astigmatism group than in high astigmatism group ( Z=-3.017, -13.569, -2.793, -2.761, -4.779; all P<0.05).V4c TICL rotation and |DV| were lower in low fixation angle difference group than in high fixation angle difference group ( Z=-7.865, -2.080; both P<0.05).Preoperative cylindrical diopter, intraoperative V4c TICL fixed angle deviation, SIA and |DV| were lower in low rotation group than in high rotation group ( Z=-2.104, -4.578, -2.456, -2.090; all P<0.05).There were no statistically significant differences in the TICL rotation or in each vector between patients with different vault after the surgery (all P>0.05). Conclusions:V4c TICL implantation can achieve good results for the correction of myopia and myopic astigmatism.There is a slight difference between the fixation axis and the target axis of V4c TICL, which affects the rotation of V4c TICL and |DV|.Postoperative V4c TICL rotation is related to TICL fixed angle deviation, postoperative UCVA, SIA, |DV| and postoperative cylindrical diopter.Postoperative vault has no significant effect on TICL rotation and differences in each vector.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]