Objective To construct machine learning models based on preoperative inflammatory and radiological features for the prediction of glioma grading and isocitrate dehydrogenase (IDH) mutation status, and to analyze application values of these models and identify the optimal predictive models. Methods A retrospective analysis was conducted on the data of pathologically confirmed glioma patients admitted to Tongji Hospital Affiliated to Tongji University from March 2019 to March 2023. LASSO regression was used to screen feature variables, and predictive models were constructed based on logistic regression (LR), random forest (RF), support vector machine (SVM), gradient boosting decision tree (XGBoost) and K-nearest neighbor (KNN) algorithms. The model performance was comprehensively evaluated using metrics including discrimination ability, area under the precision-recall curve (AUC), accuracy, F1 score and Brier score. The DeLong test was adopted to compare the AUC values among different models; Friedman rank-sum test was used to determine the overall performance differences of the models, with the Nemenyi test applied for multiple comparison correction. Results In the task of glioma grading prediction, the LR model achieved the highest comprehensive score (0.726), and no significant difference was observed between the LR model and the other four models; age was positively correlated with glioma grading (P=0.003). In the task of IDH mutation status prediction, the XGBoost model obtained the highest comprehensive score (0.832), which was superior to the LR (0.762, P=0.035) and KNN models (0.754, P=0.025), while no statistical differences were found between the XGBoost model and the RF or SVM models. Conclusions The LR model for glioma grading prediction and XGBoost model for IDH mutation prediction constructed based on a task-oriented strategy achieve a favorable interpretability while ensuring optimized performance, thereby providing reliable decision support for the individualized diagnosis and treatment of glioma.

Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

To systematically analyzed the reporting status of core elements in publicly available clinical practice guideline(hereafter referred to as "guideline") protocols published domestically and internationally over the past decade, identified existing problems, and provided evidence to inform the standardized writing and publication of future guideline protocols.

OBJECTIVE To evaluate the anticoagulant efficacy and safety of nafamostat mesylate （NM） in the treatment of uremic patients at high risk of bleeding undergoing continuous veno-venous hemofiltration （CVVH） with different methods （pre- dilution and post-dilution）. METHODS A total of 130 uremic patients at high risk of bleeding who underwent CVVH treatment in the nephrology department of Chongqing University Three Gorges Hospital from July 2023 to September 2024 were selected. They were divided into pre-dilution group and post-dilution group according to the random number table method， with 65 cases in each group. Both groups of patients received CVVH treatment under NM anticoagulation. The pre-dilution group adopted the pre-dilution replacement method， while the post-dilution group adopted the post-dilution replacement method. The coagulation， pressure， and usage duration of the filter and dialysis circuit venous reservoirs were compared between the two groups. The changes in prothrombin time （PT）， prothrombin time-international normalized ratio （PT-INR）， activated partial thromboplastin time （APTT）， and fibrinogen （FIB） in the peripheral venous blood before the heparin pump and after the filter at 1， 4 and 7 h of CVVH treatment， as well as 20 min after the end of treatment， were compared between the two groups. The single-compartment urea clearance rate （spKt/V）， β2-microglobulin （β2-MG） clearance rate and the incidence of adverse reactions were duni2007@foxmail.com compared between the two groups. RESULTS Both the pre-dilution and post-dilution groups had 60 patients who completed the study. The incidence of grade Ⅱ-Ⅲ coagulation of the filter and venous reservoirs， as well as the number of patients with transmembrane and venous pressure alarm intervention in the post- dilution group were significantly higher or more than those in the pre-dilution group （P＜0.05）， while usage time of the filter and the pipeline in the post-dilution group was significantly shorter than that in the pre-dilution group （P＜0.05）. The APTT values before the heparin pump as well as PT and APTT values after the filter at 1 h， 4 h， and 7 h of CVVH treatment in the post-dilution group were significantly higher than those in the pre-dilution group （P＜0.001）. There were no significant differences in PT， PT- INR， APTT and FIB between the two groups of patients 20 min after the end of treatment （P＞0.05）. The spKt/v and β2-MG clearance rates in the post-dilution group were significantly higher than those in the pre-dilution group （P＜0.001）. There was no significant difference in the incidence of adverse reactions between the two groups （P＞0.05）. CONCLUSIONS When NM is used as an anticoagulant in the CVVH treatment of uremic patients at high risk of bleeding， compared with the pre-dilution treatment method， the post-dilution treatment method has a higher incidence of filter and dialysis tubing venous reservoir， a shorter usage time of the filter and pipeline， and a greater impact on extracorporeal coagulation， but has a higher solute clearance rate. Clinically， different dilution methods can be selected according to the different treatment needs of patients.

The promulgation of the Technical Specifications for Clinical Use of Blood (2025 Edition) signifies that China's clinical blood transfusion management has transitioned from mere technical operations to a new stage centered on patient blood management (PBM). Through an in-depth comparison of the new and old specifications, this paper analyzes the core transformations regarding conceptual reconstruction, legal alignment, technological upgrades, and closed-loop management. The new specifications establish PBM principles, reinforce legal safeguards for informed consent and emergency treatment, and construct a comprehensive, refined quality control system by specifying compatibility testing standards and introducing a post-transfusion evaluation system. Medical institutions should seize this opportunity to update management protocols and information systems, deepen multidisciplinary collaboration, and drive the profound transformation of clinical blood use from focusing solely on safety assurance to placing equal emphasis on science and value.

Objective: To identify the structure of the complementarity determining region (CDRs), the V(D)J rearrangement and somatic hypermutational characteristics of the heavy and light chains of a red blood cell blood group-specific monoclonal antibody. Methods: The hybridoma cell line secreting human IgM κ monoclonal anti-P antibody was used as the research object. Total RNA was extracted from cultured monoclonal cell line, and cDNA was obtained by reverse transcription PCR (RT-PCR) using random hexamers primers. It was then amplified and sequenced using primers specific for variable regions of the immunoglobulin heavy and light chains encoding the anti-P antibody. The sequences were aligned against the NCBI database using online Immunoglobulin BLAST (Ig-BLAST) tool. Results: The study determined the structure of the CDRs and framework regions (FRs) of the variable regions of human monoclonal anti-P immunoglobulin, as well as the characteristics of V(D)J rearrangement. Moreover, the closest VH, VD, and VJ germline alleles for the heavy chain and VL and VJ germline alleles for the light chain were also identified. The IgH gene rearrangment pattern of the monoclonal anti-P was IGHV6-1 * 01—IGHD5-18 02—IGHJ4 02 and IgL gene was IGκV1-12 01—IGκJ3 01. Nine base mutations occurred within the germline gene IGHV6-1 01 in variable region of heavy chain, whereas 5 base mutations were found in the germline gene IGκV1-12 01 in variable region of light chain, respectively. Conclusion: This study characterized the CDR structure in monoclonal antibody cell line targeting the high-frequency red blood cell P antigen, and provided a foundation for the construction of recombinant antibody expressing plasmids and transfomation of the immunoglobulin type.

Objective To explore the impact of meteorological factors on the incidence of scarlet fever in Xicheng District of Beijing, and to provide a scientific basis for formulating targeted prevention and control measures. Methods Daily scarlet fever incidence data and corresponding meteorological data from 2010 to 2019 in Xicheng District of Beijing were collected. Using year, month, and day of the week as time-stratified variables, a conditional logistic regression model with a time-stratified case-crossover design was employed to analyze the impact of different meteorological factors on the number of scarlet fever cases in Xicheng District, while controlling for long-term trends, seasonality and other confounding factors. Results From 2010 to 2019, a total of 3,195 cases of scarlet fever were reported in Xicheng District, with an average annual incidence rate of 24.17/100 000. The overall trend showed fluctuating decline, during which three incidence peaks occurred, with the highest incidence rate observed in 2011. No severe or fatal cases were reported. The incidence of scarlet fever exhibited a distinct seasonal bimodal distribution, primarily concentrated between April to June and November to January of the following year. The conditional logistic regression results showed that the average relative humidity and average temperature were positively correlated with scarlet fever cases (β=0.0203, β=0.0613, P＜0.001), while the average vapor pressure was negatively correlated with scarlet fever cases (β=-0.1468, P＜0.001). Increases average relative humidity and average temperature were risk factors for scarlet fever incidence (OR=1.0205，95%CI=1.0150 -1.0261；OR=1.0632，95%CI=1.0379 -1.0891). For every 1.00% increase in average relative humidity, the number of scarlet fever cases increased by 2.05% (1.50% –2.61%). Similarly, for every 1^。C rise in average temperature, the number of cases increased by 6.32% (3.79% – 8.91%). In contrast, an increase in average vapor pressure had a protective effect against scarlet fever (OR=0.8635,95%CI=0.8392-0.8885). For every 1 hPa increase in average vapor pressure, the number of scarlet fever cases decreased by 13.65% (11.15%–16.08%). Conclusion The average relative humidity, average temperature and average vapor pressure are the primary meteorological factors influencing the incidence of scarlet fever in Xicheng District of Beijing, and can be utilized as indicators for the prevention, control, surveillance and early warning of scarlet fever.

Objective To investigate the sleep status in children with autism spectrum disorder (ASD) and its relationship with executive function and neurodevelopment. Methods The medical records of 346 children with ASD in the hospital from April 2023 to January 2025 were retrospectively collected. The sleep status of children was investigated by Children’ s Sleep Habits Questionnaire (CSHQ). According to the score, the children were divided into good sleep group (CSHQ score<41 points, 189 cases) and sleep disorder group (CSHQ score≥41 points, 157 cases). The general data were compared between groups of children. Chinese version of Behavior Rating Inventory of Executive Function-Preschool Version (BRIEF-P) and developmental behavior assessment scale of children aged 0-6 years (Children's psychological scale-II) were used to analyze the relationship between sleep status and executive function and neurodevelopment in children with ASD. Results The CSHQ score of 346 children was (39.08±3.24) points, including 157 cases with CSHQ score≥41 points and 189 cases with CSHQ score<41 points. The proportion of severe previous medical history and executive function score in sleep disorder group were significantly higher than those in good sleep group, and the evaluation result of developmental quotient was lower than that in good sleep group (P<0.05). Logistic regression analysis showed that executive ability and neurodevelopment were closely related to sleep status in children with ASD (P<0.05). Spearman correlation analysis showed that sleep status in children with ASD was negatively correlated with executive function (r=-0.456, P<0.05), and was positively correlated with the developmental quotient (r=0.547, P<0.05). Conclusion The incidence rate of sleep disorder is high in children with ASD, and sleep status is closely related to executive function and neurodevelopment. Clinically, it is necessary to pay attention to the sleep problems in children with ASD, and take effective intervention measures to improve the sleep quality of children and promote the training of executive function and neurodevelopment.

Objective To explore the efficacy and safety of oral solution of magnesium sodium potassium sulfate in bowel preparation before colonoscopy. Methods Patients who planned to undergo colonoscopy at the digestive department of the Ninth People’s Hospital, affiliated to School of Medicine of Shanghai Jiao Tong University from January 2023 to August 2023 were selected and eligible subjects were divided into two groups: Group A took polyethylene glycol （PEG） and Group B took oral solution of magnesium sodium potassium sulfate （OSS）. The quality, drug tolerance, and safety of intestinal preparation were evaluated. The quality of bowel preparation was evaluated by the boston bowel preparation scale （BBPS）. Results The right colon BBPS score of Group B was (2.39±0.82) points, which was significantly higher than of Group A (2.11±0.43) points （P<0.05）. The overall score of Group B was higher than that of Group A （P<0.05）. OSS was easier to take than PEG, with a good taste and overall sensation. Patients were willing to use OSS to clean their bowels even when they were willing to undergo another examination （P<0.05）. There was a significant difference in nausea and vomiting symptoms between the two groups （P<0.05）, and there were no significant changes in renal function and electrolytes before and after medication in the two groups of patients. Conclusion OSS had a higher quality of bowel cleaning and was easier for patients to accept.

ObjectiveTo investigate the effect and mechanism of simvastatin pretreatment on kidney ischemia reperfusion injury （IRI） in mice. MethodsFifteen male C57BL/6 mice aged 6-8 weeks were divided into three groups： Sham operation group （Sham group）， kidney IRI group （IR group）， and simvastatin pretreatment+kidney IRI group （SIM group）. Hematoxylin-eosin （HE） staining of kidney tissue and detection of serum creatinine （SCr） and lactate dehydrogenase （LDH） were used to evaluate kidney injury. The levels of superoxide dismutase （SOD）， reduced glutathione （GSH）， malondialdehyde （MDA） and reactive oxygen species （ROS） were detected to evaluate oxidative stress. The contents of ferrous iron （Fe²⁺） and ferric iron （Fe³⁺） in kidney tissue were detected， and the morphological changes of mitochondria were observed by transmission electron microscope. The relative expression levels of Kruppel-like factor 2 （KLF2）， glutathione peroxidase 4 （GPX4）， solute carrier family 7 member 11 （SLC7A11）， and acyl-coa synthetase long chain family member 4 （ACSL4） protein in kidney tissue were detected. ResultsCompared with the IR group， the SIM group had significantly reduced renal tubular injury and decreased contents of Scr and LDH in serum （P < 0.001）. It also showed increased expression of SOD and GSH and decreased expression of MDA and ROS （P < 0.01）. Simvastatin pretreatment reduced the contents of Fe²⁺ and Fe³⁺ in the tissues （P < 0.01） and alleviated mitochondrial damage. It also promoted the expression of KLF2 （P < 0.01）， up-regulated the expression of ferroptosis-related protective proteins GPX4 and SLC7A11， and down-regulated the expression of ferroptosis-related damage protein ACSL4 （P < 0.05）. ConclusionSimvastatin pretreatment may inhibit kidney ferroptosis by promoting the expression of KLF2 to alleviate kidney IRI.