Objective: To evaluate the risk of donation-related adverse reactions, donation behavior, and contributions to the blood supply among donors aged 56-65 years following extension of the upper age limit for voluntary blood donation, and to provide real-world evidence for optimizing blood donation age policies in China. Methods: A multicenter retrospective cohort was established using blood donation databases from Hainan, Shenzhen, and Jiangxi. A total of 1 180 767 donors contributing 2 020 407 whole-blood and apheresis donations were included. Donations were classified by donor age at each donation into the 18-55-year and 56-65-year groups. Generalized estimating equation (GEE) models were used to compare the risks of overall, local, and systemic donation-related adverse reactions between the two age groups. Restricted cubic spline analysis was used to assess the continuous association between donor age and the risk of overall adverse reactions. Poisson GEE models were used to compare annual donation frequency, and donation participation and contributions to the blood supply among donors aged 56-65 years were evaluated. The study was approved by the Ethics Committee of the Institute of Blood Transfusion, Chinese Academy of Medical Sciences (No.2025012) and registered with the Chinese Clinical Trial Registry (ChiCTR2500114960). Results: A total of 1 960 711 donations were included in the 18-55-year group and 59 696 in the 56-65-year group. The overall donation-related adverse reaction rates were 3.890‰and 0.704‰, respectively. Multivariable GEE analysis showed that, compared with donors aged 18-55 years, those aged 56-65 years had lower risks of overall adverse reactions (adjusted OR=0.294, 95%CI: 0.217-0.398, P<0.001) and systemic adverse reactions (adjusted OR=0.163, 95%CI: 0.101-0.263, P<0.001), whereas no statistically significant difference was observed in the risk of local adverse reactions (adjusted OR=1.337, 95%CI: 0.487-3.670, P=0.573). Donor age was nonlinearly associated with the risk of overall adverse reactions (P overall<0.001, P nonlinear<0.001), with the risk generally decreasing with increasing age between 18 and 65 years. The mean annual donation frequency was higher among donors aged 56-65 years than among those aged 18-55 years (1.63 vs 1.24 donations per year; adjusted IRR=1.34, 95%CI: 1.30-1.39, P<0.001). During the study period, donors aged 56-65 years contributed 2.95% of all donations; their whole-blood donations and whole-blood collection volume accounted for 2.36% and 2.37% of the corresponding totals, respectively. Conclusion: Under current health screening and standardized donor management, donors aged 56-65 years did not show an increased risk of short-term donation-related adverse reactions and demonstrated a higher annual donation frequency, together with a measurable contribution to the blood supply. These findings support appropriately extending the upper age limit for voluntary blood donation under strict health screening to broaden the donor pool and supplement the blood supply.

Objective To design a performance testing platform to evaluate the working status and performance characteristics of the ventilator proportional solenoid valve.Methods The performance testing platform had its hardware including a high-pressure gas source,a pressure regulating valve,sensors and etc,and its software designed based on PyQt5 and composed of several modules for data acquisition,parameter setting,image display,indicator computation,result output and etc.Two kinds of proportional solenoid valves(Valve 1、Valve2)were selected for static and dynamic tests to verify the performance of the platform.Results The platform developed facilitated the proportional solenoid valve to carry out accurate computation of static and dynamic indicators at real time and time domain and waveform feature extraction of sensor data by precision control and data acquisition for the proportional solenoid valve.Static tests showed that Valve 1 gained advantages over Valve 2 in static flow characteristics involving in lowered repeatability,return error and offset while enhanced stability;dynamic tests indicated Valve 2 had rapid flow variations and significant flow fluctuation impacts,Valve 1 showed smooth dynamic response changes,and Valve 2 behaved better than Valve 1 in dynamic performance.Conclusion The testing platform developed comprehensively demonstrates the performance characteristics and working performance of the ventilator proportional solenoid valve,which is of great significance to enhance the reliability and safety of the ventilator.[Chinese Medical Equipment Journal,2025,46(1):13-19]

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Medical engineering in TCM medical institutions in Guizhou Province was described in terms of its development status and problems in functional positioning,professional title appraisal,unbalanced staff composition and discipline foun-dation.Some suggestions were put forward including determining the functional positioning and management mode of medical engineering institutions,promoting the professional title system for medical engineering staffs,strengthening medical engineering team and enhancing medical engineering discipline.References were provided for the development of medical engineering in TCM medical institutions in Guizhou Province.[Chinese Medical Equipment Journal,2025,46(5):84-90]

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Objective:This study aims to explore the ability of three assessment tools,namely mPG-SGA,PG-SGA,and GLIM,to evaluate malnutrition in patients with head/neck tumors undergoing radiotherapy.Additionally,it intends to investigate the correlation between mPG-SGA and calf circumference,grip strength,as well as traditional laboratory indicators in assessing malnutrition in this patient population.Methods:Prospectively,patients with head/neck tumors undergoing radiotherapy in West China Hospital,Sichuan University from January 1,2025 to March 20,2025 were selected as the research subjects.Baseline data and traditional nutritional indicators of the patients were collected,and malnutrition assessment was conducted using three tools:mPG-SGA,PG-SGA,and GLIM.Spearman correlation coefficient was used for analysis to explore the correlation between mPG-SGA scores and traditional nutritional indicators.Results:A total of 106 patients were initially included in this study,with 6 cases excluded,resulting in 100 eligible head and neck tumor patients.The average age of the enrolled patients was(51.62±11.97)years,among whom 74 were male(74%).The incidence rates of malnutrition assessed by mPG-SGA,PG-SGA,and GLIM were 41%,45%,and 23%,respectively.With PG-SGA as the gold standard reference,the sensitivity of mPG-SGA and GLIM in detecting malnutrition was 100.00%and 28.89%,respectively,and the specificity was 93.22%and 81.82%,respectively,with AUC values of 0.956 and 0.554.Results of correlation analysis showed that left calf circumference,right calf circumference,dominant hand grip strength,non-dominant hand grip strength,hemoglobin,and red blood cells were positively correlated with mPG-SGA[correlation coefficients were 0.307(P=0.002),0.294(P=0.003),0.395(P<0.001),0.360(P<0.001),0.226(P=0.028),and 0.267(P=0.009),respectively].Conclusion:mPG-SGA exhibited comparable diagnostic efficacy to PG-SGA and GLIM for malnutrition assessment in head and neck cancer patients undergoing radiotherapy,while offering simplified operational procedures.This tool shows potential as a rapid nutritional evaluation alternative,though multicenter validation across various cancer types remains necessary.

Objective:To explore the clinical characteristics of neonatal necrotizing enterocolitis（NEC）and analyze the risk factors for early-onset NEC.Methods:A total of 220 children with NEC admitted to the Department of Pediatrics，Tianjin Medical University General Hospital from January 1st，2018 to February 29th，2024 were retrospectively selected as the research objects. According to the time of onset，the early-onset group（ n=120）and the late-onset group（ n=100）were established，and the clinical characteristics of the two groups were compared. Another 150 cases of normal healthy newborns born in this hospital in the same period were selected as the control group，and the clinical data of the control group were collected. The clinical characteristics of the early-onset group and the control group were compared，and the risk factors of early-onset NEC were analyzed by multivariate Logistic regression. Results:Compared with the late-onset group，the early-onset group had fever［50.0%（60/120）vs. 40%（40/100）， χ2=7.333， P=0.007］，apnea［39.17%（47/120）vs. 28%（28/100）， χ2=7.568， P=0.006］，no rise in body temperature［56.67%（68/120）vs. 39%（39/100）， χ2=6.815， P=0.009］，abdominal distension［25%（30/120）vs. 40%（40/100）， χ2=13.200， P<0.001］，vomiting［30.83%（37/120）vs. 45%（45/100）， χ2=12.797， P<0.001］was significantly different（all P<0.05）；Multivariate Logistic regression analysis：weight<1 500 g（ OR=5.871，95% CI：3.153～9.673， P<0.001），gestational age<30 weeks（ OR=4.256，95% CI：2.641～7.896， P=0.007），hemodynamically significant patent ductus arteriosus（hs-PDA）（ OR=3.113，95% CI：1.865～5.133， P=0.033），severe anemia（ OR=3.057，95% CI：2.165～4.802， P=0.001），feeding intolerance（ OR=4.215，95% CI：1.579～10.802， P=0.005），amniotic fluid pollution（ OR=2.452，95% CI：1.579～3.111， P<0.001）were the independent risk factors for early-onset NEC（all P<0.05）. Conclusion:Weight<1 500 g，gestational age<30 weeks，hs-PDA，severe anemia，feeding intolerance，and amniotic fluid contamination are independent risk factors for early-onset NEC. In clinical practice，more attention should be paid to these factors for disease prevention，early identification，and timely intervention in newborns to reduce the occurrence of NEC.