[Objective] To explore the optimal pressure parameters for chyle plasma filtration under low-temperature conditions, and to improve the quality of chyle plasma treatment and filtration efficiency by improving experimental methods. [Methods] The filtration efficiency and filtration time of 30 severe chyle plasma samples under conventional preparation environment pressure and under preparation environment with a controlled filtration membrane pressure difference of 0.5 bar were compared. [Results] The absorbance of severe chyle plasma samples before and after filtration under two different preparation pressures was statistically significant (P<0.05), and both achieved the expected filtration effect. Under the preparation environment of controlling the pressure difference of the filtration membrane to 0.5 bar, the filtration was faster and with better effect, which was statistically significant compared to the conventional preparation environment pressure (P<0.05). [Conclusion] By selecting the optimal pressure parameters for filtering chyle plasma under low-temperature conditions, the efficiency of chyle plasma filtration under low-temperature conditions has been improved, and the practicality and reliability of low-temperature filtration technology have been enhanced.

Objective: To establish a method for determining the molecular weight and molecular weight distribution of Poly(Lactide-co-Glycolide Acid) (PLGA) using Size Exclusion Chromatography-Refractive Index-Multiangle Laser Light Scattering (SEC-RI-MALLS) and Size Exclusion Chromatography-Refractive Index (SEC-RID), and to compare the results obtained from these two methods.
Methods: For SEC-RI-MALLS, tetrahydrofuran was used as the mobile phase, Shodex GPC KF-803L was employed as the chromatographic column with a flow rate of 1 mL·min^-1, column temperature at 30 ℃, and an injection volume of 100 μL. For SEC-RID, tetrahydrofuran was also used as the mobile phase, Agilent PLgel 5 μm MIXD-D was used as the chromatographic column with a flow rate of 1 mL·min^-1, column temperature at 30 ℃, differential detector temperature at 35 ℃, and an injection volume of 20 μL. The molecular weight and molecular weight distribution were calculated using Agilent’s GPC software. The newly established methods were validated methodologically, and the molecular weight and molecular weight distribution of 13 batches of samples were determined.
Results: The precision, accuracy, stability, and repeatability tests for SEC-RI-MALLS showed RSD values of 1.35%, 1.58%, 1.53%, and 1.26%, respectively. The SEC-RID method exhibited good linearity (r=0.999 9), with RSD values for precision, accuracy, stability, and repeatability tests (n=6) of 2.05%, 1.62%, 1.30%, and 2.97%, respectively. The results obtained from SEC-RI-MALLS were lower than those from SEC-RID, and the molecular weight distribution coefficient was smaller, but the results from the paired T-test performed with the value measured by SEC-RID method and the value measured by SEC-RI-MALLS method multiplied a conversion coefficient of 1.5 showed no significant difference between the two methods.
Conclusion: Both methods are stable and reliable, and can be used for the determination of PLGA molecular weight and molecular weight distribution based on the specific situations.

Objective To compare the benefits and drawbacks of primary patch expansion versus pericardial tube right ventricular-pulmonary artery connection in patients diagnosed with pulmonary atresia with ventricular septal defect (PA/VSD). Methods A retrospective study was conducted on patients diagnosed with PA/VSD who underwent primary right ventricular-pulmonary artery connection surgery at our center between 2010 and 2020. Patients were categorized into two groups based on the type of right ventricular-pulmonary artery connection: a pericardial tube group and a patch expansion group. Clinical data and imaging findings were compared between the two groups. Results A total of 51 patients were included in the study, comprising 31 males and 20 females, with a median age of 12.57 (4.57, 49.67) months. The pericardial tube group included 19 patients with a median age of 17.17 (7.33, 49.67) months, while the patch expansion group consisted of 32 patients with a median age of 8.58 (3.57, 52.72) months. In both groups, the diameter of pulmonary artery, McGoon index, and Nakata index significantly increased after treatment (P<0.001). However, the pericardial tube group exhibited a longer extracorporeal circulation time (P<0.001). The reoperation rate was notably high, with 74.51% of patients requiring further surgical intervention, including 26 (81.25%) patients in the patch expansion group and 12 (63.16%) patients in the pericardial tube group. No statistical differences were observed in long-term cure rates or mortality between the two groups (P＞0.005). Conclusion In patients with PA/VSD, both patch expansion and pericardial tube right ventricular-pulmonary artery connection serve as effective initial palliative treatment strategies that promote pulmonary vessel development and provide a favorable foundation for subsequent radical operations. However, compared to the pericardial tube approach, the patch expansion technique is simpler to perform and preserves some intrinsic potential for pulmonary artery development, making it the preferred procedure.

Objective:To explore the hearing changes of children with different genotypes of SLC26A4 with enlarged vestibular aqueduct（EVA） using the linear mixed effect model（LMM）, providing evidence for the risk prediction of progressive hearing loss. Methods:A total of 48 children with EVA diagnosed in our hospital from January 2017 to January 2024. All subjects underwent two or more auditory tests. According to the results of deafness gene screening and sequencing, the genotypes are divided into: type A: homozygous mutation of c. 919-2A>G, type B: compound heterozygous or heterozygous mutation containing c. 919-2A>G, and type C: no mutation site of c. 919-2A>G of SLC26A4 gene. LMM was used to analyze the hearing thresholds change of 500 Hz, 1 000 Hz, 2 000 Hz, 4 000 Hz and the average in children with different genotypes with age. Results:A total of 92 ears, 314 audiograms of 48 children were included, the median number of audiograms was 3, the median age of initial diagnosis was 4 months, and the median follow-up time was 13 months. According to LMM, the standard deviation of random effects between patients and ears was large. There was no significant difference in hearing thresholds of different frequencies and the average in genotype A, genotype B, and genotype C, indicating that genotype had no effect on hearing threshold. There is an interaction between age and genotype. Taking genotype C as the reference, children with genotype B had the lowest increase in 500 Hz, 1000 Hz, and the average hearing threshold, followed by type A. Conclusion:EVA children exhibit substantial inter-individual/ear hearing threshold variability. Low-frequency thresholds progress slower than high frequencies. Genotype modulates progression rates, with wild-type（Type C） demonstrating fastest deterioration, supporting personalized auditory monitoring strategies.
Humans ; Vestibular Aqueduct/abnormalities* ; Genotype ; Sulfate Transporters ; Mutation ; Auditory Threshold ; Hearing Loss, Sensorineural/genetics* ; Male ; Female ; Child ; Child, Preschool ; Hearing Loss/genetics* ; Hearing Tests ; Linear Models ; Infant

OBJECTIVE To investigate the relationship between 23-site chip genetic screening failures and the results of newborns hearing screening,and to provide clinical reference for the diagnosis and treatment of genetic screening failures.METHODS There were 1 916 newborns born in the Beijing area from November 2022 to May 2024,who did not pass the 23-site chip genetic screening tests and underwent newborn hearing screening with definite initial screening results.Chi-square test was used to analyze the relationship between different mutation types and genotypes and the initial hearing screening results.RESULTS The overall neonatal hearing screening failure rate was 5.27%(101/1 916),with a higher failure rate of 61.54%(56/91)for homozygous and compound heterozygous mutations than the failure rate of 2.54%(45/1 772)for heterozygous mutations,0%(0/34)for digenic gene heterozygous mutations,and 0(0/19)for mtDNA 12S rRNA mutations,with a statistically significant difference(P<0.001).Among the homozygous and compound heterozygous mutations,the failure rates of homozygous and compound heterozygous for GJB2 gene and SLC26A4 gene were 59.76%(49/82)and 77.78%(7/9),respectively,with no statistically significant difference between the two groups(P=0.488).The homozygous and compound heterozygous for GJB2 gene were divided into three groups based on genotype:c.109G>A homozygous mutations,c.109G>A compound heterozygous mutations,and other homozygous and compound heterozygous mutations.The hearing screening failure rates of the three groups,from highest to lowest,were as follow:other homozygous and compound heterozygous mutations(88.89%,8/9),c.109G>A homozygous mutations(65.12%,28/43),and c.109G>A compound heterozygous mutations(43.33%,13/30),with a statistically significant difference(P=0.029).The failure rates of heterozygous for GJB2 gene,SLC26A4 gene and GJB3 gene were 2.86%(40/1 398),1.25%(4/321)and 1.89%(1/53),respectively,with no statistically significant difference among the three groups(P=0.241).The failure rate of hearing screening for individuals with GJB2 heterozygotes of different genotypes and individuals with SLC26A4 heterozygotes of different genotypes did not show statistically significant differences.CONCLUSION The failure rate of newborn hearing screening for homozygous and compound heterozygous mutation of 23-site chip genetic screening is higher than that of other mutation types,verifying the effectiveness of the newborn hearing screening program.Some newborns of homozygous and compound heterozygous mutation can pass the hearing screening,especially those with the c.109G>A homozygous and compound heterozygous mutation,who need clinical follow-up.

Objective To explore the application value of Fast Dixon technique in MR hip joint scanning.Methods Fifty young volunteers were recruited to perform axial and coronal MR scans of the hip joint.The scanning sequence was Fast Dixon T2WI sequence and conventional Dixon T2WI sequence.A double-blind five-point scale was used to subjectively evaluate the image quality of the two types sequences.The signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the axial image were measured at the maximum level of the bladder display.Results In the scores of"good contrast between surrounding tissue and femoral head signal"and"overall image quality",the Fast Dixon T2WI sequence was better than the conventional Dixon T2WI sequence,and the difference was statistically significant(P<0.05).There was no significant difference in the average scores of"whether bladder artifacts affected the diagnosis"and"whether the fat suppression effect was good"between Fast Dixon T2WI sequence and conventional Dixon T2WI sequence(P>0.05).In the objective image quality evaluation,the SNR and CNR of Fast Dixon T2WI sequence were better than those of conventional Dixon T2WI sequence,and the difference was statistically significant(P<0.05).Conclusion The image quality score of the hip joint of young volunteers with Fast Dixon T2WI sequence combined with multiple averaging excitation technique is significantly higher than that of conventional Dixon T2WI sequence.The Fast Dixon T2WI sequence can increase the effect of inhibiting fat and motion artifacts without increasing the scanning time,and the joint face ratio is good.Fast Dixon technique can replace the traditional Dixon technique,thus becoming an optimal choice for hip joint MR scanning.

Objective To investigate the predictive value of artificial intelligence(AI)-assisted high-resolution computed tomo-graphy(HRCT)in degree of invasion of early lung adenocarcinoma with subsolid nodules(SSN).Methods Ninety patients(a total of 90 SSN)with pulmonary SSN on AI-assisted HRCT scans were selected as the study subjects.According to the degree of invasion in pathology,the cases were divided into invasive adenocarcinoma(IAC)group(48 cases)and non-invasive adenocarcinoma(non-IAC)group(42 cases).The differences in general information,pulmonary SSN morphological characteristics,and related parameters were compared between the two groups.The influencing factors were analyzed using a multiple logistic regression model,and a nomo-gram prediction model was constructed.The diagnostic efficacy of the model was evaluated using receiver operating characteristic(ROC)curves,calibration curves,and clinical decision curves.Results Between the two groups,there were statistically significant differences in age,nodular nature,shape,tumor-lung interface,vacuole sign,burr sign,air-bronchial sign,vascular bunching sign and pleural indentation sign.Compared with the non-IAC group,the CT maximum value,energy,variance of CT value,CT average value,maximum surface area,mean long and short diameter,3D long diameter,surface area,volume,mass and entropy of the IAC group significantly increased,while the CT minimum value,compactness and sphericity of the IAC group significantly decreased.The results of multiple logistic regression model showed that burr sign,vascular bunching sign,tumor-lung interface,mass,pleural indentation sign,and CT average value were independent risk factors affecting the development of SSN into early IAC.Finally,a nomogram pre-diction model was constructed based on risk factors,and the results of ROC curves,calibration curves and clinical decision curves showed that the predictive model had good diagnostic efficacy.Conclusion HRCT imaging features assisted by AI have a high pre-dictive value for the degree of invasion in early lung adenocarcinoma with SSN,and focusing on the burr sign,vascular bunching sign,tumor-lung interface,mass,pleural indentation sign,and CT average value can improve clinical treatment and prognosis for patients.

Objective To develop an evaluation management information system for new nurses(EMISNN),and to explore the effectiveness of its application in the training of new nurses.Methods A research and development team was set up to design and build the EMISNN.EMISNN is a system which comprises 3 main modules,namely data integration module,query statistics module and strategy generation module.From August 2021 to April 2023,the new nurses of Qinhuangdao city,a tertiary A hospital who joined in 2022 were selected as an experimental group,and the new nurses joined in 2021 were selected as a control group by the convenience sampling method.The experimental group adopted the data analysis and strategies provided by the EMISNN to guide the training of the theory and practice of surgery,while the control group adopted the routine training plan,and then the performance of the 2 groups nurses in the theory test of surgical nursing and their satisfaction with the training were compared.Results After training,the experimental group was(73.51±8.51)points,while the control group was(69.14±8.01)points,and the difference between the 2 groups was statistically significant(t=3.112,P=0.002).The training satisfaction of the experimental group was(34.53±2.80)points,while the control group was(32.42±2.70)points,and the difference between the 2 groups was statistically significant(t=4.486,P＜0.001).Conclusion The application of the EMISNN conduces to the precision and intelligence of new nurses trainings,and it is also conducive to enhancing the satisfaction of new nurses with the training and improves the training quality.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

Objective To explore the research path to construct knowledge representation,knowledge analysis,knowledge presentation and knowledge reasoning of ancient stroke medical cases based on knowledge element theory and knowledge graph.Methods A multi-layered knowledge representation system of medical cases was constructed,which included"knowledge body-knowledge element-semantics and semantic relationships",and knowledge element indexing system was used to parse the text into structured data.Combined with the attribute graph model for graph design,Neo4j was used to build a knowledge graph,and visual presentation and analysis were performed.Results A total of 517 medical cases from 86 ancient books were included,forming a knowledge representation system including 2 types of knowledge bodies,19 types of knowledge elements,27 types of semantics and 9 types of semantic relationships.The original knowledge graph had 19 node types(8 virtual nodes)and 15 relationship types,totaling 6363 nodes and 14697 relationships;the integrated knowledge graph had 11 node types and 11 relationship types,totaling 1229 nodes and 11456 relationships.Hierarchical subgraph visualization and node connectivity analysis methods completed implicit knowledge exploration and reasoning.Conclusion The knowledge representation system can guide the structured expression and semantic level analysis of ancient text,and provide systematic data support for the construction of knowledge graphs.The original knowledge graph of ancient and modern dual-mode knowledge graph focuses on the visual presentation of complex diagnosis and treatment ideas,which is conducive to improving the efficiency of medical cases review;integrating the knowledge graph to build a scale-free network and using group cases as the object can realize the tacit knowledge of stroke from a macro dimension excavation.