Objective: To explore the independent risk factors of allogeneic blood transfusion during perioperative period of cytoreductive surgery in patients with ovarian cancer, and to construct a predictive model to facilitate clinical risk assessment and optimize perioperative blood management. Methods: Clinical data of 156 patients who underwent cytoreductive surgery for ovarian cancer in our hospital from January 2020 to December 2025 were retrospectively collected. The patients were divided into transfusion group (n=51) and non-transfusion group (n=105) according to whether they received allogeneic blood transfusion during perioperative period. The 1∶1 propensity score matching (PSM) was used to correct the confounding factors. Independent sample t test or Mann-Whitney U test was used for measurement data, and chisquare test was used for enumeration data. Variables with P<0.05 in univariate analysis were included in binary logistic regression for multivariate analysis to determine independent risk factors. A nomogram model for perioperative allogeneic blood transfusion risk prediction was constructed based on independent risk factors. Bootstrap method (100 samples) was used for internal calibration verification. ROC curve was used to evaluate the discrimination efficiency, and decision curve analysis (DCA) was used to evaluate the clinical net benefit of the model. Results: After propensity matching, the baseline data of the two groups were balanced and comparable. Multivariate logistic regression analysis showed that preoperative prothrombin time (PT) (OR=2.666, 95%CI 1.249~5.693, P=0.011), preoperative hemoglobin (Hb) (OR=0.953, 95%CI 0.923~0.984, P=0.003), intraoperative blood loss (OR=1.004, 95%CI 1.001-1.006, P=0.004), preoperative anemia grade (OR=3.052, 95%CI 1.007-9.252, P=0.049) were independent influencing factors of perioperative allogeneic blood transfusion. The nomogram model based on the above four factors was significant (LR χ =58.617, P<0.001), and the internal calibration curve showed that the predicted probability of the model was in good agreement with the actual probability (mean absolute error=0.042). The area under the ROC curve (AUC) was 0.890, indicating good discrimination efficiency. DCA showed that the clinical net benefit of the model was better than that of the unified transfusion/non-transfusion strategy in the 0-0.45 risk threshold range. Conclusion: Intraoperative blood loss, preoperative PT, preoperative Hb and preoperative anemia grade are independent risk factors for perioperative allogeneic blood transfusion in patients undergoing cytoreductive surgery for ovarian cancer. The nomogram model based on the above factors has good predictive efficacy and clinical hierarchical decision-making value, which can provide reference for clinical implementation of individualized blood management for high-risk patients and reduction of unnecessary blood transfusion rate.

Hospital flow-oriented construction is grounded in the development of information technology and， driven by it， deeply integrates digital technology with hospital services. However， while this construction brings convenience to medical care， it also gives rise to new types of infringements against technologically disabled groups， exposing their ethical risks of disembedding. Specifically， the formation of this risk results from the separation of technologically disabled groups from the smart transformation of hospitals， the exclusion of these groups by information service platforms， and the single shift toward a modernized medical service mode. To address this， it is necessary to coordinate norms and situational adaptation， balance efficiency and fairness， and emphasize both flow attraction and humanistic care. On this basis， a return path should be collaboratively advanced from three dimensions regarding patients themselves， information service platforms， and hospital construction. First， it is essential to bridge the digital divide， guiding technologically disabled groups to improve their information literacy. Second， it is vital to eliminate digital barriers， optimizing the inclusiveness of information service platforms. Third， it is critical to enhance supply-demand alignment， promoting the accessible development of medical services. These measures contribute to effectively safeguarding the right of technologically disabled groups to equally enjoy medical services， thereby truly realizing the inclusiveness of hospital flow-oriented construction.

Brain age prediction, as a significant approach for assessing brain health and early diagnosing neurodegenerative diseases, has garnered widespread attention in recent years. Electroencephalogram (EEG), an non-invasive, convenient, and cost-effective neurophysiological signal, offers unique advantages for brain age prediction due to its high temporal resolution and strong correlation with brain functional states. Despite substantial progress in enhancing prediction accuracy and generalizability, challenges remain in data quality and model interpretability. This review comprehensively examined the advancements in EEG-based brain age prediction, detailing key aspects of data preprocessing, feature extraction, model construction, and result evaluation. It also summarized the current applications of machine learning and deep learning methods in this field, analyzed existing issues, and explored future directions to promote the widespread application of EEG-based brain age prediction in both clinical and research settings.
Humans ; Electroencephalography/methods* ; Brain/physiology* ; Machine Learning ; Aging/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

Objective : To explore the risk factors of biliary stricture after liver transplantation and to construct a nomogram prediction model. Methods : The clinical data of 208 liver transplant recipients in hospital were retrospectively analyzed, including 54 cases in the biliary stricture group and 154 cases in the non-biliary stricture group. Multivariate Logistic regression analysis was used to screen out independent predictors, fit the prediction model and construct a visual nomogram to evaluate the prediction model. Survival curves were drawn and multivariate Cox regression analysis was performed. Results : Autoimmune liver diseases(OR=6.610,95%CI: 1.410-30.99), alanine aminotransferase(ALT)(OR=1.007,95%CI: 1.003-1.011), warm ischemia time(OR=1.972,95%CI: 1.399-2.780), cold ischemia time(OR=1.016,95%CI: 1.010-1.022), cytomegalovirus infection(OR=6.037,95%CI: 1.480-24.63) and hepatic vascular stenosis(OR=7.784,95%CI: 2.312-26.20) were independent predictors of biliary stricture after liver transplantation. The area under the curve(AUC) of the nomogram prediction model was 0.921, the cut-off value was 0.238, the sensitivity was 0.889, and the specificity was 0.838. The model showed good discrimination. The Brier score was 0.092, Hosmer-Lemeshow goodness-of-fit testP=0.253, Calibration curve(B=1 000) was in good agreement, and the model showed good calibration. Decision curve analysis(DCA) showed that the application of the model could benefit liver transplant recipients. The postoperative follow-up time was 27-60 months. The cumulative survival rate of the non-biliary stricture group was better than that of the biliary stricture group(P=0.019), but multivariate Cox regression analysis showed that biliary stricture(HR=1.194, 95%CI: 0.624-2.285) was not an independent risk factor for survival after liver transplantation. Conclusion The nomogram model based on autoimmune liver diseases, ALT, warm ischemia time, cold ischemia time, cytomegalovirus infection and hepatic vascular stenosis performs well and can be used to predict the occurrence of biliary stricture after liver transplantation.

Background Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the development of metabolic syndrome (MS). However, the role of amino acids in PAH-induced MS remains unclear. Objective To explore the impact of PAHs exposure on the incidence of MS among coking workers, and to determine potential modifying effect of amino acid on this relationship. Methods Unmatched nested case-control design was adopted and the baseline surveys of coking workers were conducted in two plants in Taiyuan in 2017 and 2019, followed by a 4-year follow-up. The cohort comprised 667 coking workers. A total of 362 participants were included in the study, with 84 newly diagnosed cases of MS identified as the case group and 278 as the control group. Urinary levels of 11 PAH metabolites and plasma levels of 17 amino acids were measured by ultrasensitive performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Logistic regression was used to estimate the association between individual PAH metabolites and MS. Stratified by the median concentration of amino acids, Bayesian kernel machine regression (BKMR) model was employed to assess the mixed effects of PAHs on MS. Due to the skewed data distribution, all PAH metabolites and amino acids in the analysis were converted by natural logarithm ln (expressed as lnv). Results The median age of the 362 participants was 37 years, and 83.2% were male. Compared to the control group, the case group exhibited higher concentrations of urinary 2-hydroxyphenanthrene (2-OHPhe), 9-hydroxyphenanthrene (9-OHPhe), and hydroxyphenanthrene (OHPhe) (P=0.005, P=0.049, and P=0.004, respectively), as well as elevated levels of plasma branched chain amino acid (BCAA) and aromatic amino acid (AAA) (P<0.05). After being adjusted for confounding factors, for every unit increase in lnv_2-OHPhe in urine, the OR (95%CI) of MS was 1.57 (1.11, 2.26), and for every unit increase in lnv_OHPhe, the OR (95%CI) of MS was 1.82 (1.16, 2.90). Tyrosine, leucine, and AAA all presented a significant nonlinear correlation with MS. At low levels, tyrosine, leucine, and AAA did not significantly increase the risk of MS, but at high levels, they increased the risk of MS. In the low amino acid concentration group, as well as in the low BCAA and low AAA concentration groups, it was found that compared to the PAH metabolite levels at the 50th percentile (P₅₀), the log-odds of MS when the PAH metabolite levels was at the 75th percentile (P₇₅) were 0.158 (95%CI: 0.150, 0.166), 0.218 (95%CI: 0.209, 0.227), and 0.262 (95% CI: 0.241, 0.282), respectively, However, no correlation between PAHs and MS was found in the high amino acid concentration group. Conclusion Amino acids modify the effect of PAHs exposure on the incidence of MS. In individuals with low plasma amino acid levels, the risk of developing MS increases with higher concentrations of mixed PAH exposure. This effect is partly due to the low concentrations of BCAA and AAA.

BACKGROUND: It is inaccurate to reflect the level of dust exposure through working years. Furthermore, identifying a predictive indicator for lung function decline is significant for coal miners. The study aimed to explored whether club cell secretory protein (CC16) levels can reflect early lung function changes. METHODS: The cumulative respiratory dust exposure (CDE) levels of 1,461 coal miners were retrospectively assessed by constructed a job-exposure matrix to replace working years. Important factors affecting lung function and CC16 were selected by establishing random forest models. Subsequently, the potential of CC16 to reflect lung injury was explored from multiple perspectives. First, restricted cubic spline (RCS) models were used to compare the trends of changes in lung function indicators and plasma CC16 levels after dust exposure. Then mediating analysis was performed to investigate the role of CC16 in the association between dust exposure and lung function decline. Finally, the association between baseline CC16 levels and follow-up lung function was explored. RESULTS: The median CDE were 35.13 mg/m³-years. RCS models revealed a rapid decline in forced vital capacity (FVC), forced expiratory volume in the first second (FEV₁), and their percentages of predicted values when CDE exceeded 25 mg/m³-years. The dust exposure level (<5 mg/m³-years) causing significant changes in CC16 was much lower than the level (25 mg/m³-years) that caused changes in lung function indicators. CC16 mediated 11.1% to 26.0% of dust-related lung function decline. Additionally, workers with low baseline CC16 levels experienced greater reductions in lung function in the future. CONCLUSIONS CC16 levels are more sensitive than lung indicators in reflecting early lung function injury and plays mediating role in lung function decline induced by dust exposure. Low baseline CC16 levels predict poor future lung function.
Uteroglobin/blood* ; Humans ; Dust/analysis* ; Occupational Exposure/analysis* ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Lung Injury/chemically induced* ; Coal Mining ; Biomarkers/blood* ; China/epidemiology* ; Air Pollutants, Occupational ; Female

Objective To systematically evaluate the effect of threshold inspiratory muscle training on pulmonary rehabilitation in postoperative lung cancer patients,with a focus on exploring the difference in efficacy under different interven-tion modes.Methods Randomized controlled trials on the effect of threshold inspiratory muscle training on pulmonary rehabilitation in postoperative lung cancer patients were retrieved from PubMed,Cochrane Library,Embase,Web of Science,CNKI,Wanfang data,VIP and China Biomedical Literature Database.Meanwhile,gray literature from ProQuest and clinicaltrials.gov was searched as supplements.The retrieval period was from the establishment of each data-base to May 9,2025.Cochrane 5.1.0 was used to evaluate the quality of literature,and a meta-analysis was per-formed using RevMan 5.4.Results Twelve studies involving 701 patients were included,all of which were of moderate to high quality.Threshold inspiratory muscle training could reduce the pulmonary complications of postoperative lung cancer patients(OR=0.45,95%CI 0.29 to 0.68,P<0.001),shorten the hospital stay(MD=-1.85,95%CI-3.29 to-0.42,P=0.010),improve the inspiratory muscle strength(MD=5.84,95%CI 0.96 to 10.71,P=0.020),enhance their ex-ercise endurance(SMD=0.40,95%CI 0.10 to 0.71,P=0.010),and did not increase the risk of pulmonary air leakage(OR=0.88,95%CI 0.47 to 1.63,P=0.680).Subgroup analysis revealed that shortening of hospital stay(MD=-2.98,95%CI-5.87 to-0.09,P=0.040)and the improvement in exercise endurance(SMD=0.57,95%CI 0.14 to 1.00,P=0.009)were significant only when threshold inspiratory muscle training was combined with aerobic exercise.However,standalone threshold inspiratory muscle training showed no statistical signifi-cance in these two outcomes.Conclusion Threshold inspiratory muscle training can effectively reduce postoperative pulmonary complications and im-prove inspiratory muscle strength in postoperative lung cancer patients with good safety.Threshold inspiratory muscle training could shorten hospital stay and improve exercise endurance only when combining with aerobic exercise.

Objective To systematically evaluate the effect of threshold inspiratory muscle training on pulmonary rehabilitation in postoperative lung cancer patients,with a focus on exploring the difference in efficacy under different interven-tion modes.Methods Randomized controlled trials on the effect of threshold inspiratory muscle training on pulmonary rehabilitation in postoperative lung cancer patients were retrieved from PubMed,Cochrane Library,Embase,Web of Science,CNKI,Wanfang data,VIP and China Biomedical Literature Database.Meanwhile,gray literature from ProQuest and clinicaltrials.gov was searched as supplements.The retrieval period was from the establishment of each data-base to May 9,2025.Cochrane 5.1.0 was used to evaluate the quality of literature,and a meta-analysis was per-formed using RevMan 5.4.Results Twelve studies involving 701 patients were included,all of which were of moderate to high quality.Threshold inspiratory muscle training could reduce the pulmonary complications of postoperative lung cancer patients(OR=0.45,95%CI 0.29 to 0.68,P<0.001),shorten the hospital stay(MD=-1.85,95%CI-3.29 to-0.42,P=0.010),improve the inspiratory muscle strength(MD=5.84,95%CI 0.96 to 10.71,P=0.020),enhance their ex-ercise endurance(SMD=0.40,95%CI 0.10 to 0.71,P=0.010),and did not increase the risk of pulmonary air leakage(OR=0.88,95%CI 0.47 to 1.63,P=0.680).Subgroup analysis revealed that shortening of hospital stay(MD=-2.98,95%CI-5.87 to-0.09,P=0.040)and the improvement in exercise endurance(SMD=0.57,95%CI 0.14 to 1.00,P=0.009)were significant only when threshold inspiratory muscle training was combined with aerobic exercise.However,standalone threshold inspiratory muscle training showed no statistical signifi-cance in these two outcomes.Conclusion Threshold inspiratory muscle training can effectively reduce postoperative pulmonary complications and im-prove inspiratory muscle strength in postoperative lung cancer patients with good safety.Threshold inspiratory muscle training could shorten hospital stay and improve exercise endurance only when combining with aerobic exercise.

This study aims to investigate the anti-inflammatory and anti-apoptotic effects of total flavonoids of hawthorn leaves(TFHL)on lipopolysaccharide(LPS)-induced inflammatory injury in rat intestinal epithelial(IEC-6)cells,as well as the underlying mechanisms.An in vitro inflam-mation model was first established by treating IEC-6 cells with lipopolysaccharide(LPS).IEC-6 cells were then incubated with three concentrations of TFHL for 24 h prior to a further 24 h LPS treatment.RT-qPCR was used to quantify mRNA levels of the inflammatory genes COX-2 and iN-OS,while Western blotting was used to assess protein levels of the apoptotic markers Bax,cleaved Caspase-3,Bcl-2,and the JNK/p-JNK signaling pathway.Finally,cells were pretreated with TFHL and/or the JNK inhibitor SP600125 for 24 h before LPS exposure for 24 h,in order to evaluate the combined effects of TFHL and SP600125 on LPS-induced inflammatory cytokine expression and apoptotic protein levels in IEC-6 cells.The results showed that,compared with the LPS group,the mRNA level of COX-2 and iNOS in the 2.5,5.0,10.0 mg/L TFHL group and the Bax and Caspase-3 protein levels decreased significantly(P＜0.01),and the Bcl-2 protein level was significantly higher(P＜0.01),p-JNK protein level and p-JNK/JNK ratio decreased significantly(P＜0.01);compared with the LPS group,the COX-2 and iNOS mRNA levels of the TFHL+LPS group de-creased significantly(P＜0.01),Bax,and Caspase-3 protein levels decreased significantly(P＜0.01),and the level of Bcl-2 protein increased significantly(P＜0.05);compared with the LPS group,the COX-2 and iNOS mRNA levels of the TFHL+SP600125 group decreased significantly(P＜0.01),Bax and Caspase-3 protein levels decreased significantly(P＜0.01),and Bcl-2 protein level increased significantly(P＜0.01).These findings indicate that TFHL exerts anti-inflammato-ry and anti-apoptotic effects in LPS-challenged IEC-6 cells by inhibiting the JNK signaling path-way.

Objective To investigate the changes of macrophages and hemophagocytes in bone marrow smears of patients with multiple myeloma(MM)before and after chemotherapy and their correlation with clinical prognostic value.Methods A total of 300 MM patients treated in Liaocheng Second People's Hospital Affiliated to Shandong First Medical University from June 2018 to June 2023 were selected as the study objects.All patients received at least 3 courses of chemotherapy and were divided into the remission group(n=214)and the non-remission group(n=86)according to the clinical effect.Immunoglobulin(Ig)A,IgG,CD3+,CD4+,CD8+,interleukin(IL-2),IL-4,IL-6,IL-17,tumor necrosis factor(TNF)-α,transforming growth factor(TGF)-β,macrophages and hemophagocytes were detected in the two groups and compared between the two groups.COX regression was used to analyze the relationship between immunological indexes and non-remission of chemotherapy.The relationship between macrophages and hemophagocytes and non-remission of chemotherapy was analyzed by restricted cubic spline.The multiplicative interaction of macrophages and hemophagocytes on non-remission of chemotherapy was analyzed using an unconditioned Logistic regression model,and the additive interaction was analyzed using the interaction calculation table.Receiver operating characteristic(ROC)curve analysis of macrophages and hemophagocytes alone or in combination to determine the value of chemotherapy non-remission.Results The overall response rate(ORR)and non-response rate(NRR)of MM patients were 71.33%and 28.67%respectively.Compared with before treatment,IgA,IgG,CD8+,IL-6,IL-17,TNF-α,TGF-β,macrophages and hemophagocytes were significantly decreased in both groups after treatment(tslow=9.252～61.177,tnot slow=4.057～35.797).CD3+,CD4+,CD4+/CD8+,IL-2 and IL-4 were significantly increased(tslow=9.706～33.940,tnot slow=4.227～16.167),and the differences were statistically significant(all P<0.05).After treatment,compared with the remission group,IgA,IgG,CD8+,IL-6,IL-17,TNF-α,TGF-β,macrophages and hemophagocytes in the non-remission group were significantly higher than those in remission group(t=3.362～30.028),CD3+,CD4+,CD4+/CD8+,IL-2 and IL-4 were significantly lower than those in remission group(t=3.736～13.998).and the differences were statistically significant(all P＜0.05).After adjusting the influence of other factors by COX regression,the trend test of macrophages and hemophagocytes was still statistically significant the trend test of macrophages and hemophagocytes was still statistically significant(P<0.05).Patients with≥5 macrophages/tablet and≥3 hemophagocytes/tablet had a significantly increased risk of non-remission from chemotherapy(P<0.05).There were additive(OR=6.157,95%CI:3.768～12.978)and multiplicative(OR=5.648,95%CI:1.035～17.492)interactions between macrophages and hemophagocytes in the non-remission of chemotherapy.Compared with the single judgment of macrophages and hemophagocytes,the combination of the two has the highest accuracy in determining chemotherapy non-remission(P＜0.05).Conclusion Macrophages and hemophagocytic cells in MM patients after chemotherapy are significantly lower than those before chemotherapy,with≥5 macrophages/tablet and≥3 hemocyte phages/tablet,indicating that the risk of non-remission in patients with chemotherapy increased significantly,and the combination of the two can accurately judge the clinical efficacy.