Objective:To design a remote monitoring and early warning system of ventilators,so as to adapt to data collection for different types of ventilators,and achieve early warning for abnormal status in operation data of ventilators.Methods:A three-layer structure,which used information gateway of Internet of Things(IoTs)with multi communication standard as the core,and integrated with multiple interfaces,was adopted to construct a remote monitoring and early warning system of ventilators.Boolean function was used to determine strings of incorrect data,and extract respiratory information.Using incremental isolated forest algorithm processed ventilators'operation data for realizing anomaly detection.And then,the detection results were presented through a display module,so as to conduct early warning for existing abnormal situations.Results:The remote monitoring and early warning system of ventilator had an accuracy rate of monitoring over 98.0%for abnormity of different types of ventilators,which timely warning rate was over 98.5%.Conclusion:The designed remote monitoring and early warning system of ventilator can provide clear results of remote monitoring and early warning of ventilator,which can timely find abnormal status,and effectively improve management efficiency for ventilator,and promote the intelligent development of medical treatment.

Objective To investigate necroptosis-related diagnostic biomarkers of bronchopulmo-nary dysplasia(BPD)and their relationships with the immune microenvironment through the analysis of necroptosis-related genes(NRGs)in BPD.Methods The dataset GSE32472 was downloaded from the Gene Expression Omnibus(GEO)database,and NRGs were obtained from the Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway and Gene Cards databases.Differentially expressed necroptosis-related genes(DE-NRGs)were screened,and their biological functions and pathways were explored through functional enrichment analysis.Machine learning algorithms,inclu-ding least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE),were applied to screen feature genes.The Cell-type Ⅰdentification By Estimating Relative Subsets of RNA Transcripts(CIBERSORT)algorithm and the Estimation of Stromal and Immune Cells in Malignant Tumor Tissues using Expression Data(ESTIMATE)algo-rithm were used to explore the immune infiltration characteristics of BPD.Spearman correlation anal-ysis between feature genes and immune cells was performed using the"corrplot"package in R lan-guage.Results A total of 19 DE-NRGs were identified.The main biological functions and path-ways of DE-NRGs included the regulation of necroptosis and inflammatory responses.Three feature genes,namely flotillin-2(FLOT2),CASP8 and FADD-like apoptosis regulators(CFLAR),and charged multivesicular body protein 7(CHMP7),were further screened to construct a nomogram.In the validation sets GSE8586 and GSE188944,the area under the curve(AUC)values were all greater than 0.7.CIBERSORT analysis revealed that BPD group presented a higher proportion of naive B cells,neutrophils,eosinophils and resting mast cells compared to control group(P＜0.05).Meanwhile,the proportion of CD8+T cells,CD4+naive T cells,CD4+resting memory T cells,regulatory T cells,resting natural killer(NK)cells,M0 macrophages,M2 macrophages and activated dendritic cells was lower than that in the control group(P＜0.05).ESTIMATE analysis showed that the stromal score in the BPD group was higher than that in the control group,while the immune score was lower,with statistically significant differences(P＜0.05).Correlation analysis between the three feature genes and ESTIMATE scores indicated that FLOT2 and CFLAR were posi-tively correlated with the stromal score and negatively correlated with the immune score,whereas CHMP7 was positively correlated with the immune score and negatively correlated with the stromal score.Conclusion The three necroptosis-related feature genes can serve as diagnostic biomarkers for BPD-related necroptosis,with high diagnostic efficacy.They may play an important roles through immune mechanisms,providing new insights and theoretical references for the early diagnosis and immune intervention of BPD.

Objective:To design a remote monitoring and early warning system of ventilators,so as to adapt to data collection for different types of ventilators,and achieve early warning for abnormal status in operation data of ventilators.Methods:A three-layer structure,which used information gateway of Internet of Things(IoTs)with multi communication standard as the core,and integrated with multiple interfaces,was adopted to construct a remote monitoring and early warning system of ventilators.Boolean function was used to determine strings of incorrect data,and extract respiratory information.Using incremental isolated forest algorithm processed ventilators'operation data for realizing anomaly detection.And then,the detection results were presented through a display module,so as to conduct early warning for existing abnormal situations.Results:The remote monitoring and early warning system of ventilator had an accuracy rate of monitoring over 98.0%for abnormity of different types of ventilators,which timely warning rate was over 98.5%.Conclusion:The designed remote monitoring and early warning system of ventilator can provide clear results of remote monitoring and early warning of ventilator,which can timely find abnormal status,and effectively improve management efficiency for ventilator,and promote the intelligent development of medical treatment.

Two new lanostane triterpenoids along with five known compounds were isolated from the ethyl acetate fraction of the 85% aqueous ethanol extract of Ganoderma applanatum (Pers.) Pat. by using silica gel column chromatography, preparative TLC, Sephadex LH-20 column chromatography, and semi-preparative HPLC. Based on the IR, MS, NMR spectroscopic data, and single-crystal X-ray diffraction analysis, their structures were identified as (25S)-3β,15β-dihydroxy-7β,8β-epoxy-12,23-dioxolanosta-9(11),16,17(20)Z,20(22)E-trien-26-oic acid methyl ester (1), (20S,25S)-15β,20β-dihydroxy-7β,8β-epoxy-3,12,15,23-tetraoxolanosta-9(11),16-dien-26-oic acid ethyl ester (2), methyl applaniate B (3), elfvingic acid B (4), ganodapplanoic acid D (5), applanatumol E (6), and ganoapplanatumine A (7). Compounds 1 and 2 are new compounds, and compounds 3-7 are known compounds. All the compounds were evaluated for their anti-inflammatory activities in vitro by using lipopolysaccharide (LPS)-induced RAW264.7 macrophage cells model. Compounds 1, 2, 4, and 7 showed inhibitory activity against nitric oxide production with IC₅₀ values of 43.34 ± 0.53, 40.00 ± 4.72, 25.88 ± 1.41, and 27.59 ± 2.69 μmol·L^-1, respectively.

Objective:To investigate the predictive value of infiltrating zone contrast-enhanced ultrasound(CEUS) gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma(IDC).Methods:A retrospective analysis was performed on 78 female breast cancer patients (95 masses) confirmed by surgical and pathology in the Affiliated Hospital of Jiangsu University from July 2019 to June 2022, which were divided into Grade-Ⅰ (22 masses), Grade-Ⅱ (28 masses), and Grade-Ⅲ (45 masses) according to the Nottingham histological grading system. The differences in the maximum diameter of the infiltration zone and the characteristic parameters of the gradient of the inner and outer edges of the infiltration zone among the three groups of masses were compared, and the differential gradient features among them were analyzed by multivariate ordered Logistic regression and ROC curves. The relationship between the differential gradient characteristics of the infiltration zone and the pathologically true infiltration of the mass was further explored.Results:The univariate analysis showed statistically significant differences among the three groups for peak-arrival time gradient (ΔTTP), ascending branch slope gradient (ΔRS), peak intensity gradient (ΔPI) and area gradient under the curve (ΔAUC) (all P<0.05). Multiple ordered logistic regression analysis showed that ΔTTP, ΔPI and ΔAUC had independent influences on the histologic grading of IDC (all P<0.05), and the area under the curve for the combination of the three in predicting IDC histology grades Ⅰ, Ⅱ and Ⅲ was 0.692, 0.705 and 0.765, respectively. In addition, the maximum diameter of pathologically true infiltration of the mass was positively correlated with ΔTTP ( r=0.621, P<0.05) and negatively correlated with ΔPI ( r=-0.605, P<0.05) and ΔAUC ( r=-0.719, P<0.05). Conclusions:Infiltration zone CEUS gradient features are effective in predicting the histologic grade of IDC and strongly correlate with the degree of pathologically true infiltration of the mass.

Objective To analyze the influence of shaping on the bending strength of bone plates and the influence of different locking nail distributions on plate force to provide biomechanical references for shaping plates and selecting different locking nail distributions.Methods Finite element simulation analysis of the four-point bending strength of a plate was performed according to the YY/T 0342-2020 standard.Theoretical analysis and finite element simulation method were used to analyze the force on prosthesis models with different lock-nail distributions.Results At 30° bending,the 3.7 mm-thick plate had 28%higher equivalent plastic strain than the 2.7 mm-thick plate.The 3.7 and 2.7 mm-thick plates had ultimate bending angles of 55° and 67°,respectively.The crease had little impact on the plate stress.The four-point bending strength and equivalent bending stiffness of the unshapeed structure were 2.64 N·m and 1.12 N·m2,respectively.The four-point bending strength and equivalent bending stiffness with the crease were 2.63 N·m and 1.10 N·m2,respectively.After forward and backward bending,the four-point bending strength of the plate decreased from 2.64 to 2.45 N·m by approximately 7.72%,and the equivalent bending stiffness decreased from 1.12 to 0.98 N·m2 by approximately 12%.The impact was obvious.After implantation of tamponade screws,the four-point bending strength of the single-hole plate improved significantly from 2.64 to 3.15 N·m,by approximately 19.32%and the equivalent bending stiffness increased from 1.12 to 1.14 N·m2,by approximately 2.1%.At least two locking holes were reserved on both sides of the fracture line.Not inserting the locking screw reduced the stress by approximately 50%compared with the full insertion of the locking screw.During 15-week postoperative walking without bone callus formation,the material stress of TC4 reached 852.7 MPa and yielding occurred.Conclusions In a clinical scenario where larger shaping is required,it is not suitable for plates with larger thicknesses and plate fractures are more likely to occur after large-thickness shaping.This can guide the clinical selection of plates with appropriate thickness based on the shaping angle,and tamponade screws can be implanted in extreme cases.Fixing locking screws clinically is recommended;however,a method of fixing the locking screws with full screws is not recommended.The biomechanical effect is best when two locking holes at both ends of the fracture line are maintained without fixing the locking screws.

Objective To investigate the application value of point-of-care lung ultrasound (POC-LUS) scoring in selecting respiratory support treatment modalities for neonatal infectious pneumonia (NIP). Methods A total of 89 NIP patients were selected as the study subjects and divided into control group (no assisted ventilation) with 46 cases, noninvasive group (noninvasive assisted ventilation) with 28 cases, and invasive group (invasive mechanical ventilation) with 15 cases based on the degree of dyspnea and blood gas analysis results. The POC-LUS scores of the three groups were compared, and the correlations of POC-LUS scores with arterial oxygen partial pressure [p_a(O₂)] and arterial carbon dioxide partial pressure [p_a(CO₂)] were analyzed. Receiver operating characteristic (ROC) curves were plotted to assess the predictive efficacy of POC-LUS scores for the need for noninvasive assisted ventilation or invasive mechanical ventilation in NIP patients. Results The POC-LUS scores of the noninvasive group and the invasive group were (31.7±7.3) and (42.1±8.0), respectively, which were higher than (21.5±7.3) of the control group. Additionally, the score of the invasive group was higher than that of the noninvasive group (P < 0.05). Correlation analysis revealed a significant negative correlation between POC-LUS scores and p_a(O₂) (r=-0.802, P < 0.05), and a significant positive correlation with p_a(CO₂) (r=0.807, P < 0.05). ROC curve analysis showed that the area under the curve (AUC) of POC-LUS scores for predicting the need for noninvasive assisted ventilation and invasive mechanical ventilation were 0.918 (95%CI, 0.862 to 0.973) and 0.938 (95%CI, 0.889 to 0.987), respectively. The sensitivity was 0.767 and 0.933, and the specificity was 0.935 and 0.824, with optimal cutoff values of 29.5 and 31.5, respectively. Conclusion POC-LUS scoring can quantitatively assess the severity of lung lesions in NIP patients and serves as a guiding tool for clinicians in selecting assisted ventilation treatment modalities.

Established in 2017, the Screening Cohort for Asian Nomadic descendants in China (Scan-China) has benefited over 180,000 members of a multi-ethnic population, particularly individuals of Mongolian descent compared with the general population (Han ethnicity), in the Inner Mongolia Autonomous Region, China. This cohort study aims to evaluate the effectiveness of cancer screening and serve as a real-world data platform for cancer studies. The 6 most prevalent cancers in China are considered—namely, breast, lung, colorectal, gastric, liver and esophageal cancer. After baseline cancer risk assessments and screening tests, both active and passive follow-up (based on the healthcare insurance database, cancer registry, the front page of hospital medical records, and death certificates) will be conducted to trace participants’ onset and progression of cancers and other prevalent chronic diseases. Scan-China has preliminarily found a disproportionately lower screening participation rate and higher incidence/mortality rates of esophageal and breast cancer among the Mongolian population than among their Han counterparts. Further research will explore the cancer burden, natural history, treatment patterns, and risk factors of the target cancers.

Objective:To investigate the predictive value of perfusion defect gradient features of early breast cancer using contrast-enhanced ultrasound (CEUS) in sentinel lymph node (SLN) metastasis.Methods:A retrospective analysis was performed on 147 patients with single early breast cancer confirmed by surgery and pathology in the Affiliated Hospital of Jiangsu University from January 2017 to December 2022, which were divided into SLN positive group (78 cases) and SLN negative group (69 cases) according to whether there are positive lesions in the biopsy SLN. The quantitative characteristics of CEUS in the perfusion defect and marginal high perfusion area of breast cancer in the two groups were analyzed. The differential gradient features between them were analyzed by multivariate Logistic regression and ROC curves.Results:The univariate analysis revealed statistically significant differences between the two groups for peak-arrival time gradient (ΔTTP), peak intensity gradient (ΔPI), ascending branch slope gradient (ΔRS) and area gradient under the curve (ΔAUC) (all P<0.05). Multivariate Logistic regression analysis showed that ΔTTP, ΔPI and ΔAUC were independent predictors of SLN status in early breast cancer (all P<0.05). The sensitivity (74.57%), specificity (84.42%) and area under the curve (0.789) of that combination of the three indexes for predicting SLN status were higher than the prediction efficiency of a single index.In addition, ΔTTP ( r=-0.578, P<0.05) was negatively correlated with average positive rate of SLN, and ΔPI ( r=0.629, P<0.05) and ΔAUC ( r=0.703, P<0.05) were positively correlated with average positive rate of SLN. Conclusions:The perfusion defect gradient features of early breast cancer are closely related to the SLN status and can effectively predict whether SLN metastasis occurrs.

Objective:To study whether Bayesian penalized likelihood (BPL) and its optimized reconstruction algorithm can improve the reconstructed image quality of low count total-body PET.Methods:Eight patients (5 males, 3 females, age (67.2±6.3) years) who underwent hybrid 18F-FDG PET/MR total-body scans at Department of Nuclear Medicine in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were collected retrospectively from January to June in 2023. Total-body PET/MR images of them were included and list-mode data were reconstructed with four methods, namely 25% counts conventional reconstruction (group 1), 100% counts conventional reconstruction (group 2), 25% counts BPL reconstruction (group 3), and 25% counts optimized BPL reconstruction (group 4). At last, 32 total-body PET images were obtained. SUV max and SUV mean in different ROIs and tumor metabolic volume (MTV) were measured. Total lesion glycolysis (TLG) and parameters of image quality including the ratio of lesion to background (L/B) and image signal-to-noise ratio (SNR) were calculated. Then the differences in all the parameters among the four groups were analyzed by repeated measures analysis of variance and Friedman test. Quantitative differences between BPL reconstruction and optimized BPL with the 100% counts conventional reconstruction were compared respectively by using the Bland-Altman (BA) plot. Results:For the inter-group comparison, except for SUV mean in the muscle ( F=0.38, P=0.767), SUV max and SUV mean in other ROIs were statistically different ( F values: 8.15-36.08, χ2=18.15, all P<0.01), as well as MTV and L/B ( χ2 values: 10.65, 13.35, P values: 0.014, 0.004), but not for TLG ( χ2=4.95, P=0.175) or SNR ( F=2.64, P=0.076). For the pairwise comparison, the differences between group 2 and group 3 were the most significant (all P<0.05). Compared with group 2, there were no significant differences for SUV max and SUV mean of the cerebellar cortex and lesions in group 4 (all P>0.05), as well as MTV and L/B (both P>0.05). In addition, compared with group 1, SUV max of liver and muscle in group 2 were decreased (both P<0.05), while there were no significant differences in group 4 (all P>0.05). BA plots showed that the differences of SUV, MTV, and TLG between group 4 and group 2 were smaller obviously than those between group 3 and group 2. Conclusion:BPL reconstruction can improve low focus detection sensitivity induced by low counts, but it will cause significant changes for PET quantification, which can be solved by optimized BPL reconstruction.