BACKGROUND:Digital three-dimensional reconstruction technology is gradually applied to orthopedic diseases with the advantages of visualization,accuracy and non-invasiveness,but there is less evidence-based support for its use in artificial hip hemiarthroplasty for intertrochanteric fractures of the femur in the elderly. OBJECTIVE:To investigate the application value and economic effects of digital three-dimensional reconstruction techniques in artificial hip hemiarthroplasty of intertrochanteric fractures of the femur in the elderly. METHODS:One hundred and thirty elderly patients with intertrochanteric femur fractures admitted to Zunyi First People's Hospital from January 2019 to December 2022 were selected and randomly divided into a control group(n=65)and an observation group(n=65).Artificial hip hemiarthroplasty was performed in both groups.The control group adopted the film template measurement method for manual preoperative planning while the observation group adopted a digital three-dimensional reconstruction technique.Preoperative planning and intraoperative actual application of prosthesis compliance rate,fibrinogen,D-dimer,bilateral femoral eccentric distance difference,bilateral lower limb length difference,Harris hip function score,visual analog scale score,excellent and good rate of hip function,complications,and hospitalization cost were observed in both groups. RESULTS AND CONCLUSION:(1)The proportion of acetabular side and femoral side prosthesis in grade 0(fully compliant)was higher in the observation group than that in the control group(P<0.05).(2)Fibrinogen and D-dimer levels in the observation group were lower than those in the control group 3 days after surgery(P<0.05).(3)The difference in bilateral femoral eccentric distance and the difference in bilateral lower limb length in the observation group were smaller than those in the control group immediately after surgery(P<0.05).The differences in Harris and visual analog scale scores were not significantly different between the two groups preoperatively,6 and 12 months postoperatively(P>0.05).There was no significant difference in excellent and good rate of hip function between the two groups 12 months postoperatively(P>0.05).(4)There was no significant difference in the complication rate between the two groups(P>0.05).The hospitalization cost of the observation group was higher than that of the control group(P<0.05).(5)It is indicated that digital three-dimensional reconstruction technology applied in artificial hip hemiarthroplasty of intertrochanteric femoral fracture in the elderly can not only accurately determine the prosthesis type before surgery,but also accurately reconstruct the bilateral lower limbs offline,but its hospitalization cost is high.

In recent years,countries around the world have invested a lot of resources in neuroimaging research on brain function and diseases.The abundant and more easily accessible neuroimaging data will have a profound impact on the research of cognitive neuroscience and psychiatry,thereby assisting the development of the diagnosis and treatment of brain diseases.At present,neuroimaging data sharing is gradually becoming a trend,but it is also worth considering of some unique ethical issues that come with it.Therefore,from the four shared entities of the public,researchers,users,and data centers,this paper sorted out the ethical issues in neuroimaging data sharing,and deeply analyzed the reasons for these issues.Based on the responsibility ethics and combined with the guidance of the Belmont principles,governance responses were proposed,including strengthening the construction of neuroethics committees,improving informed consent models,building data sharing infrastructure,establishing data privacy protection mechanisms,and introducing regulatory protections,to provide a certain reference for promoting the neuroimaging data sharing and maximizing the contribution of participants.

Objective To construct a model of heart failure risk prediction based on four machine learning algo-rithms in order to support early diagnosis and intervention.Methods After reviewing the heart failure dataset pub-lished on the Kaggle community,feature selection was used to select relevant factors related to heart failure as pre-dictive indicators.Four machine learning algorithms,namely logistic regression,support vector machine,random forest,and XGBoost were selected to establish predictive models.Compared and analyzed its accuracy,precision,recall,F1 score and area under the ROC curve(AUC)to verify the performance of the model.Results The study analyzed 11 features of 918 patients with heart failure and selected 10 feature factors for modeling.After optimizing the hyper-parameters through grid search,the XGBoost model performed the best,with accuracy,precision,recall,and f1_score and AUC values were 87.5%,90.38%,89.71%,90.04%and 0.93,respectively.In addition,data analysis showed that exercise ST slope,chest pain type,and exercise induced angina were main influencing factors for heart failure.Conclusions The XG Boost model has the best predictive tool for heart failure,and machine learning algorithms may support early prevention,early diagnosis as well as control of heart failure.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

Multi-gene assays have emerged as crucial tools for risk stratification in early-stage breast cancer. This study aimed to evaluate the prognostic significance of the 21-gene recurrence score (RS) in Chinese patients with pN0-1, estrogen receptor-positive (ER
Biomarkers, Tumor/genetics* ; Breast Neoplasms/pathology* ; Female ; Humans ; Neoplasm Recurrence, Local/pathology* ; Neoplasm Staging ; Prognosis ; Receptor, ErbB-2/genetics* ; Receptors, Estrogen

Coronavirus disease 2019(COVID-19),which is caused by SARS-CoV-2,varies with regard to symptoms and mortality rates among populations.Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19.However,differences in immune responses and clinical features among COVID-19 patients remain largely unknown.Here,we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters(named COVID-ONE-hi).COVID-ONE-hi is based on the data that contain the IgG/IgM responses to 24 full-length/truncated proteins corresponding to 20 of 28 known SARS-CoV-2 proteins and 199 spike protein peptides against 2360 serum samples collected from 783 COVID-19 patients.In addition,96 clinical parameters for the 2360 serum samples and basic information for the 783 patients are integrated into the database.Furthermore,COVID-ONE-hi provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups.A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters.After the"START"button is clicked,one can readily obtain a comprehensive analysis report for further interpretation.COVID-ONE-hi is freely available at www.COVID-ONE.cn.

Objective: To explore the imaging changes of lung lesions in patients with imported COVID-19 patients when reaching the discharge standard. Method: The clinical and CT imaging data of 60 patients with imported COVID-19 cured and discharged from January to February 2020 in Anhui Province were retrospectively collected. The clinical characteristics of the patients and the characteristics of chest CT images at discharge were analyzed. Results: Fever (57 cases) and cough (55 cases) were the main symptoms in 60 patients. At the initial diagnosis, 5 cases were mild, 53 were ordinary, and 2 were severe. In 5 light patients, 3 cases were negative in the whole course of CT examination, 2 cases were negative in the first time and abnormal in the second time. . The first CT imaging features of 55 patients (53 common type and 2 severe type)were mainly bilateral lung involvement (51 cases), multiple lesions (33 cases), more common under the pleura (40 cases), and ground glass opacities were the most common. (55 cases). The clinical features of chest CT in clinical outcomes are that the ground glass shadow in the lung gradually fades and was completely absorbed (19 cases); the scope of ground glass shadow in the lung expanded and progressed to crazy-paving, consolidation shadow, and the lesion gradually absorbs again followed by Fibrous cord shadows (27 cases); ground-glass opacities in the lungs quickly progressed to a consolidation and then slowly absorbed . Most of the lesions were accompanied by more residual fibrous cord shadows (4 cases). In 2 severe patients, the lesions in the lungs were larger ground glass, and a big amount of fibrous foci remained after slowly absorption. Conclusion Chest CT plays an important role in the diagnosis and treatment of imported COVID-19, and the degree of lung involvement seen on CT images is in good agreement with clinical outcome.

Objective:To explore the imaging changes of lung lesions in patients with imported COVID-19 when reaching the discharge standard.Methods:The clinical and CT imaging data of 60 cured patients with imported COVID-19 and discharged from January to February 2020 in Anhui Province were retrospectively collected. At the initial diagnosis, 5 cases were mild, 53 were ordinary, and 2 were severe. The clinical characteristics of the patients and the characteristics of chest CT images at discharge were analyzed.Results:Fever (57 cases) and cough (55 cases) were the main symptoms in 60 patients. In 5 mild patients, 3 cases were negative in the whole course of CT examination, 2 cases were negative in the first time and abnormal in the second time. The first CT imaging features of 55 patients (53 common type and 2 severe type) were mainly bilateral lung involvement (51 cases), multiple lesions (33 cases), more common under the pleura (40 cases), and ground glass opacities were the most common (55 cases). The features of chest CT in clinical outcomes were that the ground glass shadow in the lung gradually faded and was completely absorbed (19 cases); the scope of ground glass shadow in the lung expanded and progressed to crazy-paving, consolidation shadow, and the lesion gradually absorbed again followed by fibrous cord shadows (27 cases); ground-glass opacities in the lungs quickly progressed to a consolidation and then slowly absorbed. Most of the lesions were accompanied by more residual fibrous cord shadows (4 cases). In 2 severe patients, the lesions in the lungs were larger ground glass, and a large amount of fibrous foci remained after slow absorption.Conclusions:Chest CT plays an important role in the diagnosis and treatment of imported COVID-19, and the degree of lung involvement seen on CT images is in good agreement with clinical outcome.

Objective:To investigate the correlation between the muscle mass loss and severe postoperative pulmonary complications(PPC)in elderly patients with non-small cell lung cancer(NSCLC).Methods:Elderly patients with NSCLC undergoing lobectomy at the Lung Cancer Institute and the Department of Thoracic Surgery of Guangdong Provincial People's Hospital were recruited from Feb.2019 to Dec.2019.Data of the body composition, lung function, respiratory muscle strength test, cardiopulmonary exercise test were collected before operation.All patients were grouped into two groups: with versus without severe PPC at 30 d after operation.The differences of the above parameters were compared between the two groups.A multiple logistic regression analysis was used to analyze the risk factors for severe PPC.Results:In this study, 120 elderly NSCLC patients undergoing lobectomy were recruited, All evaluations were completed in 113 patients(aged 68.13±7.01 years)in whom, 21(18.58%, 21/113)patients had serious PPC.Compared with patients without PPC, patients with severe PPC had a lower appendicular skeletal muscle mass index(ASMI)(5.67±0.90 kg/m 2vs.7.71±1.40 kg/m 2, t=3.900, P=0.001), a lower forced expiratory volume in 1 second(FEV 1)(1.85±0.40 L vs.2.12±0.57 L, t=2.412, P=0.027), a lower maximal mid-expiratory flow(MMF)(1.40±0.69 L/s vs.2.11±1.09 L/s, t=2.502, P=0.021), a lower maximum inspiratory pressure(Pimax)(55.13±32.52 cmH 2O vs.64.71±20.60, t=0.778, P=0.047, 1 cmH 2O=0.098 kPa), a lower maximal oxygen consumption(Vo 2max)(1.14±0.41 L/min vs.1.40±0.34 L/min, t=0.779, P=0.046), a lower peak O 2 consumption(Vo 2max@kg)(20.00±1.91 L·min -1·kg -1vs.22.33±2.37 L·min -1·kg -1, t=0.813, P=0.041). Multiple logistic regression analysis showed that in addition to FEV 1( OR=2.824, 95% CI: 1.127-5.158, P=0.001)and Vo 2max@kg( OR=3.149, 95%CI: 1.829-6.592, P<0.001), ASMI was also an independent risk factor for serious PPC( OR=1.919, 95% CI: 1.604-3.466, P=0.006), in which the best cut-off value was 6.295 kg/m 2, the sensitivity and specificity were 0.816 and 0.818 respectively, and the area under the receiver operating characteristic(ROC)curve(AUC)was 0.887(95% CI: 0.793-0.981, P<0.0001). Conclusions:Muscle mass loss can increase the risk for the occurrence of severe PPC within 30 days after lobectomy in elderly patients with NSCLC.

Purpose: This retrospective study aimed to evaluate the distribution pattern and prognostic value of 21-gene recurrence score (RS) in Chinese patients with mucinous breast cancer (MC) and compared with infiltrating ductal carcinoma (IDC). Materials and Methods: Patients diagnosed with MC or IDC from January 2010 to January 2017 were retrospectively recruited. Reverse transcriptase–polymerase chain reaction assay of 21 genes was conducted to calculate the RS. Univariate and multivariate analyses were performed to assess the association between RS and clinicopathological factors. Survival outcomes including disease-free survival (DFS) and overall survival (OS) were estimated by Kaplan-Meier method and compared by log-rank test. Results: The MC cohort included 128 patients and the IDC cohort included 707 patients. The proportions of patients with a low (RS < 18), intermediate (18-30), or high risk (RS > 30) were 32.0%, 48.4%, and 19.5% in MC cohort, and 26.9%, 46.8% and 26.3% in IDC cohort. The distribution of RS varied significantly according to different Ki-67 index and molecular subtype in both cohorts. Moreover, the receipt of chemotherapy was associated with RS in both cohorts. Among patients with MC, tumor stage was related to the DFS (p=0.040). No significant differences in DFS and OS were found among MC patients in different RS risk groups (OS, p=0.695; DFS, p=0.926). Conclusion RS was significantly related to Ki-67 index and molecular subtypes in MC patients, which is similar in IDC patients. However, RS was not able to predict DFS and OS in patients with MC.