Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.

Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.

Humans ; PPAR gamma/metabolism* ; Multiple Sclerosis ; Transcription Factors/metabolism* ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha

Background: Porcine circovirus type 2 (PCV2) infection is ubiquitous around the world.Diagnosis of the porcine circovirus-associated disease requires clinic-pathological elements together with the quantification of viral loads. Furthermore, given pig farms in regions lacking access to sufficient laboratory equipment, developing diagnostic devices with high accuracy, accessibility, and affordability is a necessity. Objectives: This study aims to investigate two newly developed diagnostic tools that may satisfy these criteria. Methods: We collected 250 specimens, including 170 PCV2-positive and 80 PCV2-negative samples. The standard diagnosis and cycle threshold (Ct) values were determined by quantitative polymerase chain reaction (qPCR). Then, two point-of-care (POC) diagnostic platforms, convective polymerase chain reaction (cPCR, qualitative assay: positive or negative results are shown) and EZtargex (quantitative assay: Ct values are shown), were examined and analyzed. Results: The sensitivity and specificity of cPCR were 88.23% and 100%, respectively; the sensitivity and specificity of EZtargex were 87.65% and 100%, respectively. These assays also showed excellent concordance compared with the qPCR assay (κ = 0.828 for cPCR and κ = 0.820 for EZtargex). The statistical analysis showed a great diagnostic power of the EZtargex assay to discriminate between samples with different levels of positivity. Conclusions The two point-of-care diagnostic platforms are accurate, rapid, convenient and require little training for PCV2 diagnosis. These POC platforms can discriminate viral loads to predict the clinical status of the animals. The current study provided evidence that these diagnostics were applicable with high sensitivity and specificity in the diagnosis of PCV2 infection in the field.

The patient,a male newborn,was admitted to the hospital 2 hours after birth due to prematurity(gestational age 27+5 weeks)and respiratory distress occurring 2 hours postnatally.After admission,the infant developed fever and elevated C-reactive protein levels.On the fourth day after birth,metagenomic next-generation sequencing of cerebrospinal fluid indicated a positive result for Mycoplasma hominis(9 898 reads).On the eighth day,a retest of cerebrospinal fluid metagenomics confirmed Mycoplasma hominis(56 806 reads).The diagnosis of purulent meningitis caused by Mycoplasma hominis was established,and the antibiotic treatment was switched to moxifloxacin[5 mg/(kg·day)]administered intravenously for a total of 4 weeks.After treatment,the patient's cerebrospinal fluid tests returned to normal,and he was discharged as cured on the 76th day after birth.This article focuses on the diagnosis and treatment of neonatal Mycoplasma hominis purulent meningitis,introducing the multidisciplinary diagnosis and treatment of the condition in extremely preterm infants.[Chinese Journal of Contemporary Pediatrics,2024,26(4):432-436]

Objective To study the composition,abundance,and functional profiles of the intestinal microbiota in infants and young children with Kawasaki disease(KD)during the acute phase,and to explore the potential role of intestinal microbiota in the pathogenesis of KD.Methods Six children aged 0-3 years with acute KD admitted to the Department of Cardiology,Children's Hospital Affiliated to Capital Institute of Pediatrics from July to October 2021 were prospectively included as the KD group.Six age-and sex-matched healthy children who underwent physical examinations at the hospital during the same period were selected as the healthy control group.Metagenomics sequencing was used to detect and compare the differences in the microflora structure and functional profiles of fecal samples between the two groups.Results There were significant differences in the structural composition and diversity of intestinal microbiota between the two groups(P<0.05).Compared with the healthy control group,the abundance of Listeria_monocytogenes(family Listeriaceae and genus Listeria),Bifidobacterium_rousetti,Enterococcus_avium,and Enterococcus_hirae was significantly higher in the intestinal microbiota in the KD group(|LDA|>2.0,P<0.05).The steroid degradation and apoptosis pathways were significantly upregulated in the KD group compared with the healthy control group,while the Bacterial_secretion_system,Sulfur_metabolism,Butanoate_metabolism,Benzoate_degradation,β-alanine metabolism,and α-linolenic acid pathways were significantly downregulated(|LDA|>2,P<0.05).Conclusions There are significant differences in the structure and diversity of intestinal microbiota between children aged 0-3 years with acute KD and healthy children,suggesting that disturbances in intestinal microbiota occur during the acute phase of KD.In particular,Listeria_monocytogenes,Enterococcus_avium,and Enterococcus_hirae may be involved in the pathogenesis of KD through steroid degradation and apoptosis pathways.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

In recent years, the prevalence of hyperglycemia has been increasing, and patients’ bodies have been seriously damaged. Compared with conventional Western drugs, natural products have fewer adverse reactions and delay the complications of hyperglycemia. As a valuable natural product resource, Small-leaf Kuding (SLK) contains various beneficial components for the human body. The aim of this study was to study the regulation effect of SLK extract at different doses on blood glucose metabolism in hyperglycemic mice. Lipopolysaccharide and streptozotocin were used to induce hyperglycemia in mice. Extract of SLK were administered intragastrically at low, medium, and high doses (5 g·kg

Objectives: To evaluate the feasibility and preliminary clinical results of transcatheter pulmonary valve replacement (TPVR) with the domestically-produced balloon-expandable Prizvalve system. Methods: This is a prospective single-center observational study. Patients with postoperative right ventricular outflow tract (RVOT) dysfunction, who were admitted to West China Hospital of Sichuan University from September 2021 to March 2023 and deemed anatomically suitable for TPVR with balloon-expandable valve, were included. Clinical, imaging, procedural and follow-up data were analyzed. The immediate procedural results were evaluated by clinical implant success rate, which is defined as successful valve implantation with echocardiography-assessed pulmonary regurgitationResults: A total of 5 patients were included, with 4 males, aged 14 to 37 years. The initial diagnosis included Tetralogy of Fallot (2 cases), truncus arteriosus (1 case), pulmonary atresia (1 case) and subaortic stenosis (1 case, prior Ross procedure). Four patients underwent RVOT reconstruction with homograft or artificial conduit, and one patient was treated with trans-annular patch technique. The indications of TPVR included RVOT obstruction and regurgitation (3 cases), isolated obstruction (1 case), and isolated regurgitation (1 case). Of the 4 patients with varying severity of ROVT obstruction, the average preprocedural peak jet velocity of RVOT was 3.5 m/s, and the average peak pressure gradient was 50.0 mmHg. Except for one patient, who had previously been implanted with a covered Cheatham-Platinum (CP) stent due to severe stenosis of the main pulmonary artery, other patients underwent pre-stenting with a covered CP stent before TPVR. Clinical implant success was achieved in all of the 5 patients, and there was no serious periprocedural complications. The average trans-pulmonary peak jet velocity and peak pressure gradient derived from postprocedural echocardiography was 2.3 m/s and 21.2 mmHg, respectively. All patients experienced significant symptom relief after the procedure. All patients completed 3-month follow-up, and 4 completed 6-month follow-up. There was no case of infectious endocarditis during follow-up. All patients were graded as NYHA functional class one at the latest follow-up. Conclusions: TPVR using the domestically-produced balloon-expandable Prizvalve system is safe and feasible for the treatment of patients with post-surgical RVOT dysfunction and suitable landing-zone anatomy. The safety, effectiveness, and long-term valve durability of the Prizvalve system deserve further research.
Male ; Humans ; Pulmonary Valve/surgery* ; Heart Valve Prosthesis/adverse effects* ; Heart Valve Prosthesis Implantation ; Constriction, Pathologic/surgery* ; Prospective Studies ; Ventricular Outflow Obstruction/surgery* ; Treatment Outcome ; Cardiac Catheterization/methods* ; Transcatheter Aortic Valve Replacement

Objectives: To evaluate the feasibility and preliminary clinical results of transcatheter pulmonary valve replacement (TPVR) with the domestically-produced balloon-expandable Prizvalve system. Methods: This is a prospective single-center observational study. Patients with postoperative right ventricular outflow tract (RVOT) dysfunction, who were admitted to West China Hospital of Sichuan University from September 2021 to March 2023 and deemed anatomically suitable for TPVR with balloon-expandable valve, were included. Clinical, imaging, procedural and follow-up data were analyzed. The immediate procedural results were evaluated by clinical implant success rate, which is defined as successful valve implantation with echocardiography-assessed pulmonary regurgitationResults: A total of 5 patients were included, with 4 males, aged 14 to 37 years. The initial diagnosis included Tetralogy of Fallot (2 cases), truncus arteriosus (1 case), pulmonary atresia (1 case) and subaortic stenosis (1 case, prior Ross procedure). Four patients underwent RVOT reconstruction with homograft or artificial conduit, and one patient was treated with trans-annular patch technique. The indications of TPVR included RVOT obstruction and regurgitation (3 cases), isolated obstruction (1 case), and isolated regurgitation (1 case). Of the 4 patients with varying severity of ROVT obstruction, the average preprocedural peak jet velocity of RVOT was 3.5 m/s, and the average peak pressure gradient was 50.0 mmHg. Except for one patient, who had previously been implanted with a covered Cheatham-Platinum (CP) stent due to severe stenosis of the main pulmonary artery, other patients underwent pre-stenting with a covered CP stent before TPVR. Clinical implant success was achieved in all of the 5 patients, and there was no serious periprocedural complications. The average trans-pulmonary peak jet velocity and peak pressure gradient derived from postprocedural echocardiography was 2.3 m/s and 21.2 mmHg, respectively. All patients experienced significant symptom relief after the procedure. All patients completed 3-month follow-up, and 4 completed 6-month follow-up. There was no case of infectious endocarditis during follow-up. All patients were graded as NYHA functional class one at the latest follow-up. Conclusions: TPVR using the domestically-produced balloon-expandable Prizvalve system is safe and feasible for the treatment of patients with post-surgical RVOT dysfunction and suitable landing-zone anatomy. The safety, effectiveness, and long-term valve durability of the Prizvalve system deserve further research.
Male ; Humans ; Pulmonary Valve/surgery* ; Heart Valve Prosthesis/adverse effects* ; Heart Valve Prosthesis Implantation ; Constriction, Pathologic/surgery* ; Prospective Studies ; Ventricular Outflow Obstruction/surgery* ; Treatment Outcome ; Cardiac Catheterization/methods* ; Transcatheter Aortic Valve Replacement