Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Objective:This study aimed to investigate the value of myocardial contrast echocardiography(MCE)in the prognostic assessment of patients undergoing revascularization for acute anterior ST-segment elevation myocar-dial infarction(STEMI).Methods:A total of 234 patients with acute anterior STEMI who underwent percutaneous coronary intervention(PCI)and completed MCE admitted in Dongguan People's Hospital between July 1st 2019 and October 1st 2021 were included.According to presence of major adverse cardiovascular events(MACE)during 6 months,patients were divided into no MACE group(n=188)and MACE group(n=46).General data and MCE indexes were compared between the two groups.Multivariate Logistic regression analysis was employed to analyze influencing factors for MACE in patients with acute anterior STEMI after PCI.Receiver operating characteristic(ROC)curve was applied to analyze predictive value of MCE indexes for MACE in patients with acute anterior STE-MI after PCI.Results:Compared with patients in no MACE group,those in MACE group had significant higher proportion of previous myocardial infarction,D-dimer,C reactive protein,B-type natriuretic peptide,creatine kinase isoenzyme MB(CK-MB),incidence of T-wave inversion and ST-segment resolution amplitude(P＜0.05 or＜0.01).MCE showed that compared with those in no MACE group,those in MACE group had significant lower left ventricular ejection fraction(LVEF)[(52.54±7.66)％ vs.(55.98±10.04)％],and significant higher wall motion score index(WMSI)[(1.22±0.13)vs.(1.17±0.15)]and contrast score index(CSI)[(1.54±0.32)％vs.(1.16±0.21)％](P＜0.05 or＜0.01).Multivariate Logistic regression analysis revealed that previous myocar-dial infarction,C-reactive protein,CSI and T-wave inversion were independent risk factors for MACE in patients with acute anterior STEMI after PCI(OR=13.790～6601.747,P＜0.05 or＜0.01).ROC curve indicated that CSI had good predictive value for MACE in patients with acute anterior STEMI after PCI,the area under curve(AUC)was 0.874(95％CI 0.825～0.914)and optimal cutoff point was 1.33％.Conclusion:Myocardial contrast echocardiography plays an important role in prognostic assessment of patients undergoing revascularization for acute anterior STEMI.

Aim To explore the effect of FTO on adria-mycin resistance in triple-negative breast cancer through the Wnt/β-catenin signaling pathway and to reveal the underlying mechanism.Methods The MDA-MB-231/ADR drug-resistant cell line was constructed using a method of gradually increasing adriamycin concentra-tion with intermittent induction.The half-inhibitory concentration(IC50)of adriamycin for MDA-MB-231 and MDA-MB-231/ADR cells and the expression of FTO were compared.After knocking down FTO in MDA-MB-231/ADR cells,CCK-8,qRT-PCR,colony formation assay,transwell,flow cytometry,and Western blot were used to assess the changes in the IC50 of adri-amycin,cell proliferation,migration,invasion,apopto-sis,and the expression of related proteins.Results FTO was highly expressed in MDA-MB-231/ADR cells.After FTO knockdown,the IC50 value of adriamy-cin in MDA-MB-231/ADR cells decreased,and the a-bilities of proliferation,migration and invasion were weakened.In the FTO knockdown group,the expres-sion levels of Bax,cleaved-caspase3,GSK-3 β proteins and the apoptosis rate significantly increased,while the expression levels of Bcl-2,Wnt5a,β-catenin,c-myc,cyclin D1,and P-gp proteins decreased.Conclusion FTO may inhibit the apoptosis of MDA-MB-231/ADR cells through the Wnt/β-catenin signaling pathway,al-ter P-gp expression,and thereby enhance the resistance of MDA-MB-231/ADR cells to adriamycin.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To systematically analyze the disease burden of soft tissue and extraosseous sarcomas (STEOS) among individuals aged 15-49 years old worldwide and in the Chinese mainland from 1990 to 2021, and explore the relationship between socio-economic development and disease burden.Methods:Incidence, mortality and disability-adjusted life year (DALY) for STEOS in populations aged from 15 to 49 were collected from the Global Burden of Disease (GBD2021) database. The temporal trends in disease burden were quantified using the average annual percentage change (AAPC). The socio-demographic index (SDI) was employed to examine the socio-economic development.Results:The global incidence rate of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.13, 95% CI:-0.23--0.04, P=0.299). In contrast, significant declines were observed in both mortality rate (AAPC=-0.39, 95% CI:-0.47--0.31, P<0.001) and DALY rate (AAPC=-0.46, 95% CI:-0.54--0.38, P<0.001). In the Chinese mainland, the incidence of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.10, 95% CI:-0.31-0.10, P=0.314), while the mortality rate (AAPC=-1.42, 95% CI:-1.59--1.25, P<0.001) and DALY rate (AAPC=-1.62, 95% CI:-1.82--1.42, P<0.001) declined steadily from 1990 to 2021. In 2021, high-SDI regions reported high incidence rate (1.38/100 000, 95% UI:1.28/100 000-1.46/100 000), mortality rate (0.42/100 000, 95% UI:0.39/100 000-0.43/100 000) and DALY rate (23.05/100 000, 95% UI:21.84/100 000-24.00/100 000), while low-SDI regions reported high mortality rate (0.36/100 000, 95% UI:0.27/100 000-0.54/100 000) and DALY rate (20.50/100 000, 95% UI:15.46/100 000-30.96/100 000). Conclusion:The disease burden of STEOS worldwide and in the Chinese mainland populations aged from 15 to 49 has declined consistently. Notably, STEOS constitutes a substantial disease burden, particularly among countries and regions with high-SDI and low-SDI in 2021.

Objective:Using methylation characteristics of human genes to construct machine learning predictive models for screening cervical cancer and precancerous lesions.Methods:Human DNA methylation detection was performed on 224 cervical exfoliated cell specimens from the Cancer Hospital of the Chinese Academy of Medical Sciences, Tianjin Central Hospital of Gynecology Obstetrics, Xinmi Maternal and Child Health Hospital of Henan Province, West China Second Affiliated Hospital of Sichuan University, and Heping Hospital Affiliated to Changzhi Medical College collected during April 2014 and March 2015. The hypermethylated gene fragments related to cervical cancer were selected by high-density, high-association, and hypermethylated gene fragment screening and the LASSO regression algorithm. Taking cervical intraepithelial neoplasia grade 2 (CIN2) or more severe lesions as the research outcome, machine learning predictive models based on the random forest (RF), naive Bayes (NB), and support vector machine (SVM) algorithm, respectively, were constructed. A total of 144 outpatient specimens were used as the training set and 80 cervical exfoliated cell specimens from women participating in the cervical cancer screening program were used as the test set to verify the predictive models. Using histological diagnosis results as the gold standard, the detection efficacy for CIN2 or more severe lesions of the three machine learning predictive models were compared with that of the human papilloma virus (HPV) detection and cytological diagnosis.Results:In the training set of 144 cases, there were 34 cases of HPV positivity, with a positive rate of 23.61%. Cytologically, there were 37 cases diagnosed as no intraepithelial lesion or malignancy (NILM), and 107 cases diagnosed as atypical squamous cells of undetermined significance (ASC-US) or above. Histologically, there were 28 cases without cervical intraepithelial neoplasia or benign cervical lesions, 31 cases of CIN1, 18 cases of CIN2, 31 cases of CIN3, and 36 cases of squamous cell carcinoma. Seven hypermethylated gene fragments were selected from 45 genes, and three machine learning prediction models based on the RF, NB, and SVM algorithm, respectively, were constructed. In the validation set of 80 cases, there were 28 cases of HPV positivity, with a positive rate of 35.00%. Cytologically, there were 65 cases diagnosed as NILM and 15 cases as ASC-US or above. Histologically, there were 39 cases without cervical intraepithelial neoplasia or benign cervical lesions, 10 cases of CIN1, 10 cases of CIN2, 11 cases of CIN3, and 10 cases of squamous cell carcinoma. In the validation set, the area under the curve (AUC) values of the RF model, NB model, SVM model, HPV detection, and cytological diagnosis of CIN2 or above were 0.90, 0.88, 0.82, 0.68, and 0.45, respectively. The DeLong test showed that there was no statistically significant difference in the AUC values between the RF, NB, and SVM models (all P＞0.05), and the AUC values of the RF and NB models were higher than that of HPV detection (both P＜0.01), and the AUC values of the RF, NB, and SVM models were higher than that of cytological diagnosis (all P＜0.01). Compared with the NB model, the sensitivity of the RF model was similar (80.65% vs. 77.42%), but the specificity of the NB model was much higher than that of the RF model (93.88% vs. 73.47%). Conclusion:Among the machine learning prediction models for cervical cancer and precancerous lesions constructed based on human DNA methylation, the NB model has good predictive performance for CIN2 and above lesions, and may be used for screening of cervical cancer and precancerous lesions.

Objective:To systematically analyze the disease burden of soft tissue and extraosseous sarcomas (STEOS) among individuals aged 15-49 years old worldwide and in the Chinese mainland from 1990 to 2021, and explore the relationship between socio-economic development and disease burden.Methods:Incidence, mortality and disability-adjusted life year (DALY) for STEOS in populations aged from 15 to 49 were collected from the Global Burden of Disease (GBD2021) database. The temporal trends in disease burden were quantified using the average annual percentage change (AAPC). The socio-demographic index (SDI) was employed to examine the socio-economic development.Results:The global incidence rate of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.13, 95% CI:-0.23--0.04, P=0.299). In contrast, significant declines were observed in both mortality rate (AAPC=-0.39, 95% CI:-0.47--0.31, P<0.001) and DALY rate (AAPC=-0.46, 95% CI:-0.54--0.38, P<0.001). In the Chinese mainland, the incidence of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.10, 95% CI:-0.31-0.10, P=0.314), while the mortality rate (AAPC=-1.42, 95% CI:-1.59--1.25, P<0.001) and DALY rate (AAPC=-1.62, 95% CI:-1.82--1.42, P<0.001) declined steadily from 1990 to 2021. In 2021, high-SDI regions reported high incidence rate (1.38/100 000, 95% UI:1.28/100 000-1.46/100 000), mortality rate (0.42/100 000, 95% UI:0.39/100 000-0.43/100 000) and DALY rate (23.05/100 000, 95% UI:21.84/100 000-24.00/100 000), while low-SDI regions reported high mortality rate (0.36/100 000, 95% UI:0.27/100 000-0.54/100 000) and DALY rate (20.50/100 000, 95% UI:15.46/100 000-30.96/100 000). Conclusion:The disease burden of STEOS worldwide and in the Chinese mainland populations aged from 15 to 49 has declined consistently. Notably, STEOS constitutes a substantial disease burden, particularly among countries and regions with high-SDI and low-SDI in 2021.

Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

Objective To comparatively evaluate the diagnostic value of metagenomic next-generation sequencing(mNGS)versus conventional microbial culture in spinal infections.Methods A cross-section design was conducted on 82 consecutive patients with suspected spinal infections treated between February 2022 and January 2024 at Jiangbei Branch of First Affiliated Hospital of Army Medical University(Third Military Medical University).Microbiological culture,histopathological examination,and mNGS results from infected specimens were analyzed.Clinical diagnosis,primarily based on clinical manifestations,laboratory tests and radiologic features combined with medical history,was defined as the gold standard,and then the diagnostic performance,including sensitivity and specificity,were compared between mNGS and microbial culture.Results Among the 82 patients,definitive microbiological evidence was identified in 70 cases,and mNGS demonstrated a significantly higher detection rate than microbial culture(64 vs 36 cases,78.05％vs 43.9％,P<0.05).mNGS also obtained obviously higher sensitivity,accuracy,and negative predictive value(NPV),and notably lower positive predictive value(PPV)when compared to conventional microbial culture(all P<0.05).When stratified by infection type,mNGS obtained significantly higher sensitivity and accuracy compared to microbial culture in tuberculous spinal infections(P<0.05).For non-tuberculous spinal infections,mNGS also showed superior sensitivity to microbial culture(P<0.05).Conclusion In patients with spinal infections,mNGS demonstrates a significantly higher pathogen detection rate than conventional microbial culture.This technique can provide early and broad-spectrum pathogenic microbiological evidence for spinal infection.

Ultrasound technology has been applied in the biomedical field,particularly in drug delivery and cell processing.In this study,the effects of different ultrasound power levels(40 W to 100 W)and time durations(1 min,5 min,or 5 min discontinuously)on the morphology of human red blood cells(hRBCs)membranes were systematically investigated using cryo-electron tomography(Cryo-ET).The hRBCs membranes were firstly subjected to ultrasound at power levels of 40 W and 60 W for 5 min each.Cryo-ET observations revealed minimal morphological changes in the hRBCs membranes following the 40 W treatment,with the membrane structure remaining relatively intact and only minor undulations appearing on the membrane surface.These undulations might result from the mild mechanical stress induced by ultrasound,which was insufficient to disrupt the overall membrane structure.At power of 60 W,the hRBCs membranes largely preserved their structural integrity.When the ultrasonic power was increased to 80 W,the structural damage to the hRBCs membranes became more severe.Cryo-ET images showed irregular ruptures and larger pores on the membrane surface,indicating a significant compromise in membrane integrity.At ultrasound power of 100 W,the hRBCs membranes were completely disrupted,resulting in the formation of numerous membrane fragments,and a complete loss of membrane continuity.To further explore the effects of ultrasound duration on erythrocyte membrane morphology,the ultrasonic power was fixed at 100 W and the impacts of varying treatment durations(1 min,5 min,and intermittent ultrasound)on the membrane structure were systematically investigated.After 1 min of ultrasonic treatment,Cryo-ET images showed minimal changes in erythrocyte membrane morphology.Although some small pores and undulations appeared on the membrane surface,the overall structure remained relatively intact.As the ultrasound duration extended to 5 min,the degree of membrane damage increased significantly.Cryo-ET images revealed extensive rupture and detachment of the membrane,with continuity being severely compromised.As to treatment alternating 1 min of ultrasound with 1 min of rest,for a total of 5 min of ultrasound exposure,Cryo-ET observations showed the integrity of the membrane-cytoskeleton attachment remained.Under intermittent ultrasound treatment,although some pores and ruptures were observed on the membrane surface,the overall structure remained more intact compared to continuous ultrasonic treatment.This preservation might be due to the intermittent treatment providing buffer periods for the membrane,allowing partial recovery after mechanical stress,thereby reducing the cumulative damage caused by continuous ultrasound.This work provided experimental basis for further understanding of mechanism of ultrasound induced change of cell membrane and cytoskeleton.