Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Hypercholesterolemia is pathologically characterized by abnormal accumulation of low-density lipoprotein cholesterol,which is closely associated with metabolic dysfunction-associated fatty liver disease and increased cardiovascular risks.Hepatocytes maintain cholesterol homeostasis through LDL receptor-mediated uptake and esterification storage mechanisms.However,chronic cholesterol overload induces mitochondrial dysfunction,reactive oxygen species accumulation,and endoplasmic reticulum stress,leading to hepatocyte injury.Moreover,systemic hypercholesterolemia disrupts gut microbiota balance and impairs short-chain fatty acid and ketone metabolism,exacerbating metabolic disturbances and aggravating hepatic injury through enhanced metabolic stress.In this article,we review the advance of studies on hypercholesterolemia in recent years and summary its association with hepatic injury,which can provide theoretical support for further research.

Objective:To investigate the clinical efficacy of compound sabal berry tablets on overactive bladder symptoms in patients with benign prostatic hyperplasia after transurethral laser enucleation of the prostate.Methods:This study was a prospective study. Eighty patients with benign prostatic hyperplasia who underwent laser enucleation at Tongliao People's Hospital from January 2024 to December 2024 were included in this study. The patients were randomly divided into a study group and a control group using the random number table method, with 40 patients per group. The control group received 0.2 mg of tolterodine tartrate tablets twice a day after surgery. The study group was given compound sabal berry tablets (0.5 g orally three times a day) in addition to the treatment provided to the control group. Both groups of patients were treated for 4 weeks after surgery. The clinical efficacy of the two groups was compared, including the International Prostate Symptom Score (IPSS), Overactive Bladder Symptom Score (OABSS), Maximum Postoperative Urinary Flow Rate (Qmax), Post-Void Residual (PVR), and the incidence of postoperative bladder irritative symptoms.Results:The differences in the preoperative indicators, including IPSS, OABSS, Qmax, and PVR, between the two groups were not statistically significant (all P > 0.05). Preoperatively, in the control group, Qmax was (8.64 ± 2.83) mL/s, IPSS was (25.10 ± 4.37), OABSS was (10.52 ± 1.87), and PVR was (80.70 ± 6.34) mL; in the study group, the respective values were (9.12 ± 2.95) mL/s, (24.60 ± 4.53), (10.83 ± 1.73), and (80.10 ± 5.61) mL. Postoperatively, in the control group, Qmax was (20.30 ± 3.65) mL/s, IPSS was (8.50 ± 1.58), OABSS was (4.09 ± 0.52), and PVR was (9.70 ± 2.48) mL, while in the study group, the respective values were (21.40 ± 4.38) mL/s, (7.40 ± 1.76), (1.71 ± 0.36), and (9.00 ± 1.75) mL. Postoperatively, both groups showed a significant increase in Qmax, while IPSS, OABSS, and PVR all significantly decreased (all P < 0.05). Postoperatively, the IPSS and OABSS in the study group were significantly lower than those in the control group ( t = -3.28, -25.89, both P < 0.05). However, there were no statistically significant differences in Qmax and PVR between the two groups (both P > 0.05). The incidence of bladder irritative symptoms in the study group [12.50% (5/40)] was significantly lower than that in the control group [35.00% (14/40), χ2 = 8.64, P < 0.05]. Conclusions:Compound sabal berry tablets can reduce postoperative prostate symptoms and overactive bladder symptoms in patients undergoing transurethral laser enucleation of the prostate for benign prostatic hyperplasia, demonstrating a certain clinical efficacy.

Objective To design a mobile smart pharmacy so as to enhance emergency medicine support in emergency rescue operations.Methods The mobile smart pharmacy was composed of a vehicle structure module,a medicine storage module,an information management module and a mobile smart pharmacy management system.The vehicle structure module with a closed boxcar was composed of a chassis,a boxcar framework,an extension module,a control module for electric power,term-perature and humidity and an unpacking and handling module;the medicine storage module with layer design was made up of medicine cabinets,an electronic lock control device,a LED display and paper signs;the information management module consisted of a main control module,a communication module,a drawer controlling module and a management module for medicine inbound and warehousing and an acquisition module for temperature and humidity;the mobile smart pharmacy management system was developed with Java language.Results The mobile smart pharmacy contributed to centralized stock-piling and rapid localization,inquiry and management of kinds of medicine,and ensured the medicine quality safety during the storage and delivery in emergency rescue operations.Conclusion The mobile smart pharmacy facilitates medicine mana-gement in emergency rescue operations,raises the rescue efficiency,meets the requirements for responding to types of disasters and enhances the abilities for emergency rescue effectively.[Chinese Medical Equipment Journal,2025,46(1):20-26]

Objective:To investigate the efficacy and safety of metallic stent implantation for the treatment of central airway malacia following lung transplantation.Methods:Clinical data of 14 recipients who underwent metallic stent implantation for central airway malacia after lung transplantation at Wuxi People's Hospital Affiliated to Nanjing Medical University from January 2023 to June 2024 were retrospectively analyzed. Clinical symptoms, modified Medical Research Council (mMRC) dyspnea scale scores, Karnofsky Performance Status (KPS) scores, and pulmonary function were evaluated before and 2 weeks after stent implantation. The incidence of post-implantation complications was recorded during follow-up.Results:Among the 14 recipients, 13 were male and 1 was female, with a mean age of (57.29±10.93) years (range: 27-71 years). All patients successfully underwent metallic stent placement in a single attempt, with no serious intraoperative complications. Clinical symptoms such as dyspnea improved significantly after stent implantation. Compared with pre-treatment values, mMRC scores decreased [3.00 (2.00, 4.00) vs 1.00 (1.00, 2.00), P<0.001], KPS scores increased [30.00 (10.00, 32.50) vs 80.00 (60.00, 90.00), P=0.001], and forced expiratory volume in one second (FEV 1) improved [(1.25±0.42) L vs (1.74±0.38) L, P=0.006]. Postoperative complications included granulation tissue formation (7 cases), epithelialization within the stent (3 cases), and mucus plugging (4 cases). As of the last follow-up in September 2024, eight patients had their stents successfully removed, and one patient had died due to cytomegalovirus infection. Conclusions:Metallic stent implantation can significantly relieve clinical symptoms of central airway malacia after lung transplantation, improve quality of life, and shows a favorable safety profile.

Hypercholesterolemia is pathologically characterized by abnormal accumulation of low-density lipoprotein cholesterol,which is closely associated with metabolic dysfunction-associated fatty liver disease and increased cardiovascular risks.Hepatocytes maintain cholesterol homeostasis through LDL receptor-mediated uptake and esterification storage mechanisms.However,chronic cholesterol overload induces mitochondrial dysfunction,reactive oxygen species accumulation,and endoplasmic reticulum stress,leading to hepatocyte injury.Moreover,systemic hypercholesterolemia disrupts gut microbiota balance and impairs short-chain fatty acid and ketone metabolism,exacerbating metabolic disturbances and aggravating hepatic injury through enhanced metabolic stress.In this article,we review the advance of studies on hypercholesterolemia in recent years and summary its association with hepatic injury,which can provide theoretical support for further research.

Objective To satisfy the normalized disinfection in the orthopedic ward,an air sterilizer based on low-temperature plasma has been developed to investigate its sterilization results in a dynamic environment of hospitalization where patients,companions and medical workers are involved.Methods This study took an orthopedics ward in the Secondary Affiliated Hospital of Xi'an Jiaotong University,as the research object,where a home-made low-temperature plasma air sterilizer was utilized.A six-stage viable Andersen cascade impactor was used to sample the natural bacteria in the ward before and after machine operation for three hours.The species and quantity of bacteria in the ward were analyzed.Results The ozone concentration in the indoor dynamic environment decreased to below 5 ppbv.After three-hour disinfection,the elimination rate of natural bacteria reached 92.35％.The final colony forming unit decreased to～150 CFU/m3;the extinction rates of Staphylococcus hominis,Bacillus cereus,molds,and Micrococcus luteus were 90.48％,80.90％,87.50％,and 92.82％respectively.Even all Haemophilus massiliensis disappeared after two-hour treatment.Conclusion Intermittent disinfection of the dynamic environment in the ward using low-temperature plasma synergistic catalyst has enabled the indoor ozone concentration to reach the first-level national standard line,effectively suppressing secondary pollution caused by ozone leakage while efficiently killing suspended microorganisms in the air,which is close to the disinfection level Ⅰenvironment specified in Hygienic Standard for Disinfection in Hospitals(GB 15982-2012).The results also show that the plasma catalytic synergistic disinfection and sterilization has the technical advantages of efficient disinfection and human-machine coexistence,which can ensure indoor air quality safety,reduce the workload of nursing staff,and thus is an effective method to assist or even replace the existing physical and chemical means.