ObjectiveTo investigate the independent risk factors for decompensation in patients with liver cirrhosis， to construct a nomogram-based risk assessment model， and to assess its risk assessment performance and clinical value by comparing it with Model for End-Stage Liver Disease （MELD）， MELD combined with serum sodium concentration （MELD-Na）， and MELD 3.0 scoring system. MethodsA retrospective analysis was performed for 514 patients with liver cirrhosis who attended The First Hospital of Shanxi Medical University from January 2020 to May 2025， and related data were collected， including demographic data and laboratory markers. According to the presence or absence of decompensation， the patients were divided into compensation group with 275 patients and decompensation group with 239 patients. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The least absolute shrinkage and selection operator regression analysis was used for screening of variables， and the multivariate logistic regression analysis was used to identify independent risk factors for decompensated liver cirrhosis and construct a nomogram model. The receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis were used to assess the discriminatory ability， calibration， and net clinical benefit of the model. ResultsThe multivariate logistic regression analysis showed that low hemoglobin （odds ratio ［OR］=0.984， 95% confidence interval ［CI］： 0.969　—　0.999， P<0.05）， low lymphocytes （OR=0.564， 95%CI： 0.383　—　0.830， P<0.05）， high international normalized ratio （OR=3.131， 95%CI： 1.242　—　7.891， P<0.05）， and low serum sodium （OR=0.922， 95%CI： 0.872　—　0.975， P<0.05） were independent risk factors for decompensation events in patients with liver cirrhosis. Construct the prediction model equation： Logit（P）=intercept value－0.016×hemoglobin－0.573×lymphocytes+1.141×INR－0.081×serum sodium. The nomogram constructed based on these factors had a good discriminatory ability， with an area under the ROC curve （AUC） of 0.787， a specificity of 77.8%， and a sensitivity of 67.4%， and it had significantly better predictive performance than MELD score （AUC=0.718）， MELD-Na score （AUC=0.719）， and MELD 3.0 score （AUC=0.725）. The calibration curve showed good consistency between the probability of risk assessed by the model and the observed probability. The decision curve analysis showed that compared with the MELD-based scores， this model provided higher net clinical benefit across a wide range of risk thresholds. ConclusionThis study successfully constructed and validated a nomogram risk assessment model incorporating hemoglobin， international normalized ratio， lymphocytes， and serum sodium. This model has good clinical practicability and can help to achieve early identification of high-risk patients with decompensated liver cirrhosis and optimize intervention strategies in clinical practice.

Objective To investigate the serum levels of CC chemokine ligand(CCL)8 and CCL22 in chil-dren with severe Mycoplasma pneumoniae pneumonia(SMPP)and their clinical significance.Methods A to-tal of 103 children with SMPP admitted to the hospital from January 2021 to June 2023 were selected as the SMPP group.According to the simplified pediatric critical illness score,they were divided into non-critical group(37 cases),critical group(40 cases),and extremely critical group(26 cases).According to the prognosis of 28 d after admission,the patients were divided into poor prognosis group(22 cases)and good prognosis group(81 cases).At the same time,a total of 60 children with mild Mycoplasma pneumoniae pneumonia(MMPP)were enrolled as the MMPP group,and 60 healthy children who underwent physical were enrolled as the control group.Enzyme-linked immunosorbent assay was used to detect serum levels of CCL8,CCL22,C-reactive protein(CRP),procalcitonin(PCT),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6).Pearson or Spearman correlation analysis was used to analyze the relationship between CCL8,CCL22 levels and CRP,PCT,TNF-α,IL-6 and the disease severity.Multivariate Logistic regression was used to analyze the influencing factors for the poor prognosis of children with SMPP.The receiver operating characteristic(ROC)curve was used to evaluate the value of CCL8 and CCL22 in predicting the poor prognosis of children with SMPP.Re-sults Compared with the control group,the levels of CCL8,CCL22,CRP,PCT,TNF-α and IL-6 were signifi-cantly increased in the SMPP group and MMPP group(P<0.05),and the levels of the above indexes in the SMPP group were significantly higher than those in the MMPP group(P<0.05).Compared with the non-critical group,the levels of CCL8,CCL22,CRP,PCT,TNF-α and IL-6 in the extremely critical group and the critical group were increased(P<0.05),and the levels of the above indexes in the extremely critical group were increased more significantly than those in the critical group(P<0.05).The levels of CCL8 and CCL22 in SMPP group were positively correlated with disease severity,CRP,PCT,TNF-α and IL-6(P<0.05).Com-pared with the good prognosis group,the levels of CCL8,CCL22,CRP,PCT,TNF-α and IL-6 in the poor prog-nosis group were increased(P<0.05).Increased serum levels of CRP,PCT,TNF-α,IL-6,CCL8,and CCL22 were independent risk factors for poor prognosis in children with SMPP(P<0.05).The area under the curve of serum CCL8,CCL22 and their combination for predicting poor prognosis was 0.807,0.801 and 0.907,re-spectively.The predictive value of combined detection of CCL8 and CCL22 was greater than that of each index alone(Z=1.811,1.864,P=0.029,0.025).Conclusion The serum levels of CCL8 and CCL22 are increased in children with SMPP,and are closely related to the severity and prognosis of the disease.Early combined de-tection of CCL8 and CCL22 can be used as a marker to predict the poor prognosis of children with SMPP.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective To investigate the value of MRI radiomics for the preoperative noninvasive prediction of isocitrate dehydrogenase(IDH)mutation status in glioma.Methods Totally,306 glioma patients were retrospectively selected.All patients were randomly assigned into training group(n=214)and validation group(n=92)at a ratio of 7∶3.Region of interest(ROI)was manually delineated by two radiologists independently on the fluid attenuated inversion recovery(FLAIR)and contrast enhanced(CE)MRI images for obtaining whole volume of interest(VOI)of lesion.A total of 851 radiomics features were extracted from the VOI,respectively.The least absolute shrinkage and selection operator(LASSO)method was used for features dimension reduction combing 10-fold cross validation.Three Radiomics score(Radscore)were calculated by linear combination of retained features and their corresponding coefficients.The optimal Radscore and clinical characteristics were incorporated to perform logistic regression analysis for establishing the IDH mutation status noninvasive prediction model.A nomogram was plotted for realizing the visualization of model.The receiver operating characteristic(ROC)curve was plotted to evaluate the prediction performance of model.The calibration and clinical utility of the model were evaluated by calibration curve and decision curve.Results The area under the curve(AUC)of Radscore-combined based on combination of two sequences was 0.856 in the training group,which was superior to the Radscore-CE(AUC=0.821),Radscore-FLAIR(AUC=0.766)from single sequence,with consistent result in the validation group.The addition of clinical characteristics to the model improved predictive value with AUC,sensitivity and specificity of 0.898,79.59％,90.52％in the training group.Conclusion The radiomics model based on FLAIR and CE MRI contributes to preoperative noninvasive prediction of IDH mutation status in glioma.The combination of multi-sequence and the addition of clinical characteristics can improve the prediction performance.

Objective To investigate the coagulation abnormalities and molecular genetic characteristics of a family with asymptomatic inherited fibrinogen disorders(IFD).Methods The clinical data of a family with IFD,including 5 individuals from two generations,were collected.Their peripheral blood coagulation indicators were detected.The coding sequences of FGA,FGB and FGG genes were amplified by PCR and Sanger sequencing was used to identify the candidate variants,which were further validated in the family mem-bers.The bioinformatic software was used to analyze the pathogenicity and conservation of the missense mutation and its effect on the spatial structure and function of the protein.Results The IFD patients had significantly low fibrinogen antigen(Fg:Ag)concentration and fibrinogen coagulation(Fg:C)activity concentration as well as prolonged thrombin time(TT),while coagulation indicators of the unaffected relatives were normal.The results of Sanger sequencing showed that all IFD patients carried a heterozygous missense variant of c.1001A>C(p.Asn334Thr)in the FGG gene.The bioinformatic analysis suggested that Asn334Thr was a pathogenic variant,while homology analysis indicated that the Asn334 locus was highly conserved in evolution.The analysis of protein spatial structure showed that the Asn334Thr mutation altered hydrogen bonds between amino acids.Conclusion The heterozygous missense variant c.1001A>C(p.Asn334Thr)in the FGG gene may be the pathogenic cause of the proband.The finding enriches the spectrum of FGG gene mutations and provides experimental evidence for the genetic counseling of affected families.

Objective:To explore the impact of plant and animal dietary behaviors on type 2 diabetes mellitus (T2DM) in older adults aged ≥65 in 18 longevity areas of China.Methods:The subjects were 5 223 older adults over 65 years old from the Healthy Ageing and Biomarkers Cohort Study (HABCS) in 18 longevity areas in China. Through a questionnaire survey and physical examination, information about their demographic characteristics, lifestyles, daily activities, self-health status, current diseases, and fasting venous blood were collected. Food Frequency and Questionnaire (FFQ) was used to collect data on food intake frequency. Based on the prior method, the plant-based diet index (PDI) and animal-based diet index (ADI) of 5 223 older adults were calculated. Subjects were divided into three groups (low-level group: PDI<39 or ADI<31, middle-level group: 39≤PDI≤42 or 31≤ADI≤34, high-level group: PDI>42 or ADI>34) by tertiles of PDI and ADI. Multivariate logistic regression was used to analyze the association between PDI and ADI and the risk of T2DM.Results:The average age of 5 223 subjects was (84.8±11.5) years, with the median ( Q1, Q3) of PDI about 41(38, 43) and the median ( Q1, Q3) of ADI about 33 (30, 35). The prevalence rate of T2DM was 16.41% (857/5 223). After adjusting for covariates, multivariate logistic regression showed that PDI was negatively associated with T2DM. Compared with the low-level group, the OR (95% CI) for T2DM in the high-level group was 0.83 (0.69-0.99). ADI was positively associated with T2DM, and compared with the low-level group, the OR (95% CI) for T2DM in the high-level group was 1.28 (1.06-1.55). For every one-point increase in PDI and ADI, the risk of T2DM decreased by 2% and increased by 3%, respectively, with the OR (95% CI) of 0.98 (0.96-1.00) and 1.03 (1.01-1.06), respectively. Conclusion:In Chinese older adults ≥65 years in 18 longevity areas, higher adherence to the plant-based behavior may be negatively associated with the risk of T2DM, while higher adherence to the animal-based behavior may be positively associated with the risk of T2DM.

Objective:To analyze two families with inherited dysfibrinogenemia,and explore the molecular pathogenic mechanisms.Methods:The coagulation indexes of the probands and their family members were detected.The FGA,FGB,and FGG exons and their flanking sequences were amplified by PCR,and the mutation sites were identified by sequencing.SIFT,PolyPhen2,LRT,ReVe,MutationTaster,phyloP,and phastCons bioinformatics software were used to predict the functional impact of the mutation sites.Protein structure and amino acid conservation analysis of the variant were conducted using PyMOL and Clustal X software.Results:The thrombin time(TT)of the proband in family 1 was prolonged to 37.00 s,and Fg:C decreased to 0.52 g/L.The TT of the proband in family 2 was 20.30 s,and Fg:C was 1.00 g/L,which was lower than the normal range.Genetic analysis revealed that the proband in family 1 had a heterozygous mutation c.80T＞C in FGA,resulting in the substitution of phenylalanine 27 with serine(Phe27Ser).The proband in family 2 had a heterozygous mutation c.1007T＞A in FGG,resulting in the substitution of methionine 336 with lysine(Met336Lys).Bioinformatics software prediction analysis indicated that both mutations were deleterious variants.PyMOL mutation models revealed that the Aα chain mutation(Phe27Ser)in family 1 and y chain mutation(Met336Lys)in family 2 resulted in alterations in spatial structure and reduced protein stability.Clustal X results showed that both Aα Phe27 and γMet336 were highly conserved across homologous species.Conclusion:Heterozygous mutations of FGA gene c.80T＞C and FGG gene c.1007T＞A are both pathogenic variants,causing inherited dysfibrinogenemia.

Objective:To analyze the perceptions, attitudes toward cognitive screening and associated factors in Chinese population.Methods:It was a cross-sectional study, a total of 1 246 Chinese residents who used smartphones and completed the cognitive screening survey in the Sojump application from February 22 to March 7, 2024 were consecutively selected as the study subjects. The questionnaire content included demographic data, physical examination information, perceptions of cognitive disorders, perceptions, attitudes and suggestions of cognitive screening. A total of 1 273 questionnaires were distributed, and 1 273 were retrieved, of which 1 246 were valid (97.9%). The logistic regression analysis was used to evaluate factors associated with the attitudes toward cognitive screening in the subjects.Results:Of the 1 246 respondents included in the study, 468 were male and 778 were female, with a mean age of (43.9±13.8) years. The respondents covered 26 provincial-level administrative regions in China, including 347 (27.8%) in the east, 429 (34.4%) in the middle and 470 (37.7%) in the west. While 943 respondents failed to comprehend the cognitive screening, 914 considered it necessary. Additionally, 447 respondents recommended initiating cognitive screening at age 50, 927 respondents recommended annual screening, and 924 respondents preferred scale assessment. Female ( OR=2.121, 95% CI: 1.599-2.815), middle-aged and elderly ( OR=1.681, 95% CI: 1.223-2.310), urban residents ( OR=1.426, 95% CI: 1.002-2.029), high per capita monthly household income ( OR=1.253, 95% CI: 1.063-1.477), had complete physical examination ( OR=1.404, 95% CI: 1.015-1.943), better understanding of cognitive disorders ( OR=2.202, 95% CI: 1.750-2.772), and better understanding of cognitive screening ( OR=3.313, 95% CI: 2.227-4.931) showed positive correlations with the attitude favoring cognitive screening (all P<0.05). Conclusion:The perception levels of cognitive screening among Chinese residents are relatively low, but their attitudes are positive. Socio-economic factors, behavioral experiences, and knowledge levels are associated with residents′ attitudes toward cognitive screening.

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

Objective:To analyze the risk factors for human cytomegalovirus (HCMV) infection in pediatric recipients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:Clinical data of children who underwent first allo-HSCT were retrospectively analyzed from March 2017 to November 2024. A total of 259 pediatric allo-HSCT recipients were analyzed through comparing HCMV infection group (n=115) and Non-HCMV infection group (n=144). Clinical characteristics were compared, and risk factors for HCMV infection were analyzed using univariate and multivariate logistic regression.Results:The result of univariate analysis showed that adrenoleukodystrophy (ALD), length of hospitalization, duration of antiviral therapy, and bacterial infection were significantly associated with HCMV infection in pediatric allo-HSCT recipients ( P<0.05). The result of multivariate analysis showed that ALD was an independent protective factor against HCMV infection of allo-HSCT recipients ( P<0.05) [OR=0.22, 95% CI: 0.06-0.86], while umbilical cord blood transplantation (UCBT) was an independent risk factor for HCMV infection in allo-HSCT recipients ( P<0.05) [OR=6.13, 95% CI: 1.34-28.04]. When the area under the ROC curve (AUC) for predicting post-transplant relapse based on HCMV viral load was 0.75 (95% CI: 0.55-0.94, P=0.014) and at the cutoff value of 3×10 3 copies/ml, the sensitivity and specificity for predicting relapse were 81.13% and 66.67%, respectively. Conclusions:HCMV infection in pediatric allo-HSCT recipients may lead to longer hospitalization and increased risk of relapse.