Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

Following extensive interdisciplinary research and development over several years,mechanical circulatory support devices(MCSD),including ventricular assist device(VAD)and total artificial heart(TAH),are now established as vital treatment options for patients with advanced heart failure.These devices have proven to be crucial in assisting or replacing a failing heart,offering patients a new lease of life and improving their quality of life.Currently,mechanical circulatory support(MCS)has become a well-recognised,long-term treatment option for patients who are unable to undergo heart transplantation due to donor organ shortages or contraindications.Given their continuous availability independent of donor organ limitations,these devices are poised to play an increasingly vital role in the future of medicine.This article aims to summarize the evolution,clinical applications,categorization,and potential complications of MCSD.

BACKGROUND:Titanium surface micro-nano structure modification is a hot research field in titanium implant surface treatment.The diabetic hyperglycemia environment will affect the stable bonding between titanium implant and bone tissue,so it is necessary to explore the surface micro-nano structure modification to improve the osteogenic activity of titanium implant in high glucose environment.OBJECTIVE:To investigate the effect of gold nanoparticle@mesoporous silica nanoparticles(AuNPs@MSNs)coating on osteogenic activity of osteoblasts under high glucose in vitro.METHODS:Gold nanoparticle suspension and mesoporous silica were prepared respectively,and the two were mixed in deionized water in a certain proportion to prepare gold nanoparticle@mesoporous silica suspension.Titanium sheets were taken and divided into three groups for treatment:the smooth group was treated with water sandpaper;the nanotube group was treated with water sandpaper and then anodized to prepare titanium dioxide nanotube coating,and the experimental group prepared titanium dioxide nanotube coating and then immersed in gold nanoparticle@mesoporous silica suspension to prepare gold nanoparticle@mesoporous silica nanoparticles coating.The microscopic morphology and hydrophilicity of the surface of the three groups of titanium sheets were characterized.Rat bone marrow mesenchymal stem cells were inoculated on the surface of the three groups of titanium sheets.Cell proliferation was detected by cell live/dead fluorescence staining and CCK-8 assay.Cell adhesion was detected by DAPI/phalloidin staining.Rat bone marrow mesenchymal stem cells were inoculated on the surface of the three groups of titanium sheets,and high-glucose osteogenic induction medium was added for culture.Osteogenic differentiation was detected by alkaline phosphatase and Alizarin Red S staining.RESULTS AND CONCLUSION:(1)Scanning electron microscopy showed that the surface of the titanium sheet in the smooth group was uniform and flat.The titanium dioxide nanotube arrays in the nanotube group were closely arranged on the surface,and the titanium sheet in the experimental group was loaded with gold nanoparticle@mesoporous silica on the surface and inside of the titanium dioxide nanotubes.The hydrophilicity of the titanium sheets in the nanotube group and the experimental group was better than that in the smooth group.(2)The results of cell live/dead fluorescence staining exhibited that the cell viability on the surface of the three groups of titanium sheets was higher than 90%.The results of CCK-8 assay show that the cell proliferation rate in the experimental group was higher than that in the smooth group and the nanotube group.The results of DAPI/phalloidin staining showed that the titanium dioxide nanotube coating and the gold nanoparticle@mesoporous silica nanoparticles coating were more conducive to cell adhesion.(3)The results of alkaline phosphatase and Alizarin Red S staining showed that the alkaline phosphatase activity and extracellular matrix mineralization of the cells on the titanium sheet surface in the experimental group were higher than those in the smooth group and the nanotube group.(4)The results show that the gold nanoparticle@mesoporous silica nanoparticles coating can enhance the biological activity of the titanium surface and promote osteogenic differentiation in a high glucose environment.

Objective:To design a set of simulation system for surgical operation based on virtual reality(VR)technique and intelligent scoring functions,so as to assess its clinical application effect.Methods:The Digital Imaging and Communications in Medicine(DICOM)images of typical patients were collected.Materialise Interactive Medical Image Control System(MIMICS)software was adopted to reconstruct the three-dimensional(3D)model of diseased organs.Surgical instrument models were constructed by using 3D Max software.Unity 3D software was adopted to construct simulation system for surgical operation with VR+intelligent scoring.A total of 40 surgical resident physicians,who were employed with 3 years since 2019 in The Second Affiliated Hospital of Kunming Medical University,were selected.They were divided into observation group and control group,with 20 cases in each group.The observation group used simulation system for surgical operation to conduct intelligent scoring for cholecystectomy under laparoscope,and the control group used conventional scoring for surgical operation.The scores of surgical operation and test between the two groups were compared.Results:The mean value of surgical operation time of the observation group was(1.72±0.41)h,and the average incidence of complication was(0.03±0.02)%,both of them of the observation group were significantly lower than those of the control group[(2.25±0.42)h and(0.05±0.03)%].The differences of them between two groups were statistically significant(t=9.00,4.08,P<0.05).The test scores of surgical operation of the observation group was also significantly higher than that of the control group(t=5.26,P<0.001).Conclusion:The developed simulation system for surgical operation with VR+intelligent scoring can significantly enhance users'surgical operation skills and improve learning outcomes,which has favorable prospects in future applications.

Objective:By comparing the effects of installing 3d-printed bolus with or without positioning holes on the skin fit and patient dose distribution,the advantages and disadvantages of the two installation methods in the application of radiotherapy after radical breast cancer surgery were evaluated,and the reference was provided for clinical application.Methods:A total of 48 patients(34 patients with and 14 patients without positioning holes)who received radiotherapy for breast cancer in Suining Central Hospital from December 2022 to Au-gust 2024 were randomly selected.Three dimensional reconstruction of the air gap between the patient body surface and the 3d-printed bolus was conducted,and the tissue dose distribution of each case was analyzed.Comparative analysis was conducted using t-test to ana-lyze the differences of the skin fit and the key dosimetric indexes of target areas and organs at risk between the two bolus installation meth-ods.Results:The mean values of the maximum air gap height,air gap area and air gap volume of the group with positioning holes were lower than those of the group without positioning holes(P<0.05),and the skin fit showed better consistency.The target area conformity in-dex(CI),homogeneity index(HI),and affected lung radiation acceptance(V20,V5)of patients with positioning holes were better than those of patients without positioning holes(P<0.05).There was no significant difference in target area coverage of prescription dose,cardiac dose Dmean and spinal cord dose Dmax between two groups(P>0.05).Conclusions:The skin fit,dosimetric indexes of patient target area and or-gans at risk of 3d-printed bolus with positioning holes were superior to those without positioning holes,showing significant advantages in clinical applications.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective Heart failure(HF)complicated by acute kidney injury(AKI)significantly impacts patient outcomes,and it is crucial to make early predictions of short-term mortality.This study is focused on developing an interpretable machine learning model to enhance early prediction accuracy in such clinical scenarios.Methods This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care Ⅳ(MIMIC-Ⅳ,version 2.0)database.Data from the first 24 hours after admission to the ICU were extracted and divided into a training set(70％)and a validation set(30％).We utilized the SHapley Additive exPlanation(SHAP)method to interpret the workings of an extreme gradient boosting(XGBoost)model and identify key prognostic factors.The XGBoost model's predictive ability was evaluated against three other machine learning models using the area under the curve(AUC)metric,and its interpretation was enhanced using the SHAP method.Results The study included 8 028 patients with HF complicated by AKI.The XGBoost model outperformed the other models,achieving an AUC of 0.93(95％confidence interval[CI]:0.78-0.94;accuracy=0.89),while neural network model showed the worst performance(AUC=0.79,95％CI:0.77-0.82;accuracy=0.82).Decision curve analysis showed the superior net benefit of the XGBoost model within the 9％to 60％threshold probabilities.SHAP analysis was performed to identify the top 20 predictors,with age(mean SHAP value 1.29)and Glasgow Coma Scale score(mean SHAP value 1.24)emerging as significant factors.Conclusions Our interpretable model offers an enhanced ability to predict mortality risk in HF patients with AKI in ICUs.This model can be used to assist in formulating effective treatment plans and optimizing resource allocation.

Objective:To explore the screening value of platelet parameters from blood cell analysis for MYH9-related disorders(MYH9-RD).Methods:A cross-sectional study was conducted with 38 patients diagnosed with MYH9-RD at Shenzhen Children's Hospital from May 1, 2016, to August 31, 2024, including 24 males and 14 females; the median age was 11.5 (3.8, 35) years; categorized by gene mutation location into "head region" ( n=8 ) and "tail region" ( n=30); and by clinical manifestations into " isolated hematological manifestations" ( n=16) and "hematological manifestations with extra-hematological involvement"( n=22). The control groups included 39 cases of immune thrombocytopenia (ITP), 38 cases of acute lymphoblastic leukemia (ALL), and 40 healthy individuals. Platelet-related parameters were detected by hematology analyzer, and platelet counts and sizes were confirmed by manually counting and microscopic observation. Kruskal-Wallis test was used to compare platelet parameters between MYH9-RD and control groups. Receiver operating characteristic (ROC) curves were used to assess the diagnostic efficacy of platelet parameters for MYH9-RD. Results:In MYH9-RD patients the median value of mean platelet volume (MPV) was 13.4 (11.2, 14.7) fl, immature platelet fraction (IPF) was 52.7% (43.5%, 58.0%), platelet large cell ratio(PLCR) was 57.6 %(45.0%, 62.9%), and microscopic large platelet ratio (PLCR-M) was 30.0% (25.0%, 30.0%).And those values weresignificantly higher than in ITP, ALL, and healthy controls (all P<0.05). Patients with MYH9 gene "head region" mutations had a lower platelet count [24.5 (15.0, 47.5)×10 9/L]than those with "tail region" mutations [69.0 (49.5, 86.3) ×10 9/L]( Z=-3.493, P<0.001), but a higher IPF ( t=2.024, P=0.044).Patients with "extra-hematological involvement had a lower platelet count than those with "isolated hematological manifestations" ( t=-2.015, P=0.043). The optimal cutoff value for diagnosing MYH9-RD with IPF was 26.7%, with a sensitivity of 100% and specificity of 98.7%; the area under the curve was 0.999 (95% CI 0.995-1.000), which was superior toMPV, PLCR and PLCR-M parameters. Conclusion:IPF is superior to other platelet parameters sush as MPV,showing high diagnostic efficacy in distinguishing MYH9-RD from ITP and ALL. It can be used as a simple and effective indicator for early screening of MYH9-RD.