OBJECTIVE: To investigate the correlation between nucleated red blood cell (NRBC) level on the first day of intensive care unit (ICU) admission and 28-day mortality in adult septic patients, and to evaluate the value of NRBC as an independent predictor of death. METHODS: Single-cell transcriptomic analysis was performed using the GSE167363 dataset from the Gene Expression Omnibus (including 2 healthy controls, 3 surviving septic patients, and 2 non-surviving septic patients). A retrospective clinical analysis was conducted using the America Medical Information Mart for Intensive Care-IV (MIMIC-IV) database, including adult patients (≥ 18 years) with first-time admission who met the Sepsis-3.0 criteria, excluding those without NRBC testing on the first ICU day. The demographic information, vital signs, laboratory test indicators, disease severity score and survival data on the first day of admission were collected. The restricted cubic spline (RCS) curve was used to determine the optimal cut-off value of NRBC for predicting 28-day mortality in patients. Patients were divided into low-risk and high-risk groups based on this cut-off value for intergroup comparison, with Kaplan-Meier survival curve analysis conducted. Independent risk factors for 28-day mortality were analyzed using Logistic regression and Cox regression analysis, followed by the construction of regression models. RESULTS: NRBC were detected in the peripheral blood of septic patients by single-cell transcriptomic. A total of 1 291 sepsis patients were included in the clinical analysis, with 576 deaths within 28 days, corresponding to a 28-day mortality of 44.6%. RCS curve analysis showed a nonlinear relationship between the first-day NRBC level and the 28-day mortality. When NRBC ≥ 1%, the 28-day mortality of patients increased significantly. Compared to the low-risk group (NRBC < 1%), the high-risk group (NRBC ≥ 1%) had significantly higher respiratory rate, heart rate, sequential organ failure assessment (SOFA), and simplified acute physiology score II (SAPSII), and significantly lower hematocrit and platelet count. The high-risk group also had a significantly higher 28-day mortality [49.8% (410/824) vs. 35.5% (166/467), P < 0.05], and shorter median survival time (days: 29.8 vs. 208.6, P < 0.05). Kaplan-Meier survival curve showed that compared with the low-risk group, the survival time of high-risk group was significantly shortened (Log-rank test: χ ² = 25.1, P < 0.001). After adjusting for potential confounding factors including body mass, temperature, heart rate, respiratory rate, mean arterial pressure, serum creatinine, pulse oximetry saturation, hemoglobin, hematocrit, Na⁺, K⁺, platelet count, and SOFA score, multivariate regression analysis confirmed that NRBC ≥ 1% was an independent risk factor for 28-day mortality [Logistic regression: odds ratio (OR) = 1.464, 95% confidence interval (95%CI) was 1.126-1.902, P = 0.004; Cox regression: hazard ratio (HR) = 1.268, 95%CI was 1.050-1.531, P = 0.013]. CONCLUSIONS NRBC ≥ 1% on the first day of ICU admission is an independent risk factor for 28-day mortality in septic patients and can serve as a practical indicator for early prognostic assessment.
Humans ; Sepsis/blood* ; Intensive Care Units ; Risk Factors ; Retrospective Studies ; Prognosis ; Male ; Female ; Hospital Mortality ; Middle Aged ; Aged

Objective:To investigate the interventional effect of Rhizoma Corydalis on mice with ulcerative colitis(UC)induced by dextran sulfate sodium(DSS),as well as the potential mechanism of Rhizoma Corydalis in the treatment of UC based on metabolomics and inflammation biomarkers.Methods:A mouse model of UC was established,and then the mice were divided into model group,high-dose group(1.517 g/kg crude drug),middle-dose group(0.986 g/kg crude drug),low-dose group(0.455 g/kg crude drug),and positive drug group(5-aminosalicylic acid at a dose of 718.8 mg/kg),while the mice without modeling were selected as normal group(0.9%NaCl by gavage).The mice in each group were administered for 7 consecutive days,and phenotypic parameters were dynamically moni-tored,such as body weight change,disease activity index(DAI),mean daily food intake,and daily water intake.The mice were sacri-ficed after 7 days to collect serum and colon tissue samples;ELISA was used to measure the serum levels of the proinflammatory fac-tors interleukin-6(IL-6),interleukin-17A(IL-17A),C-reactive protein(CRP),and tumor necrosis factor-α(TNF-α),and ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF/MS)was used to perform the non-targeted metabolomics analysis and compare the differences in se-rum metabolite profiles between groups.The mice were selected for modeling and validation with the same method,and glutathione(GSH)was selected as the positive drug.Colon length and mucosal damage were assessed,and quantitative real-time PCR was used to measure the relative mRNA expression levels of the key genes in the glutathione synthesis pathway(γ-glutamylcysteine synthetase[γ-GCS]and oxidative stress regulators yap1p and skn7)and mito-chondrial GSH transporter protein(Slc25a39)in colonic tissue.Results:Rhizoma Corydalis significantly improved weight loss,DAI,and colon length in a dose-dependent manner in the model animals,and there were reductions in the serum levels of IL-6,CRP,and TNF-α,while it had no significant effect on IL-17A.The metabolomics analysis revealed 21 potential biomarkers associated with amino acid and lipid metabolism,which were significantly regulated by Rhizoma Corydalis.In the verification experiment,both Rhi-zoma Corydalis and GSH exerted a significant protective effect against colonic mucosal damage without affecting colon length.Rhizoma Corydalis upregulated the expression of genes associated with glutathione synthesis,especially γ-GCS,suggesting that Rhizoma Co-rydalis could enhance intestinal antioxidant defenses.Conclusion:Rhizoma Corydalis has a therapeutic potential in a mouse model of DSS-induced UC and can alleviate symptoms,reduce the serum levels of inflammatory markers,and regulate metabolic pathways,and upregulation of the genes associated with glutathione synthesis suggests that the drug can enhance intestinal antioxidant defenses.

Objective:To investigate the radiation field distribution characteristics in a 9 MeV electron FLASH (e-FLASH) linear accelerator treatment room.Methods:The Geant4 Monte Carlo program was employed for physical simulating of the radiation field distribution inside and outside the treatment room under a single-beam delivery condition with a total dose of 50 Gy at the reference point and a dose rate of 250 Gy/s. High-sensitivity radiation detectors (AT1123) were used to validate the measurements at key points.Results:The dose rate at the reference point was approximately 9×10 11 μSv/h. Due to the scattering and shielding effects, the deviation of the attenuation rate from the inverse-square law was observed and the isodose lines exhibited spatial drift. Measured dose rates at key points showed good agreement with the simulation result, with a maximum deviation within 30%. Conclusions:The complex radiation field distribution can be effectively simulated using Geant4 in an e-FLASH treatment room. This indicated the Geant4 is not only applicable for the shielding calculations in e-FLASH radiotherapy facilities, but also for the design optimization through, reduction of trial-and-error iterations and engineering costs.

Nonalcoholic steatohepatitis (NASH) is a chronic liver disease associated with metabolic syndrome, such as obesity, diabetes, and hyperlipidemia, and is a progressive form of nonalcoholic fatty liver disease with pathological features including steatosis, lobular inflammation, and hepatocyte damage (ballooning degeneration). Hepatocellular ballooning degeneration is an important pathological feature of NASH and is closely related to the prognosis of NASH patients. Accurate identification of hepatocellular ballooning degeneration is of great significance for diagnosing NASH and assessing therapeutic response. This article reviews the current status and identification methods of hepatocellular ballooning degeneration in NASH, including invasive and noninvasive.

Venous system diseases mainly include varicose veins and venous malformations of lower limbs and the genital system. Most of them are chronic diseases that cause serious clinical symptoms to patients and affect their health and quality of life. Sclerotherapy has become the first-line therapy for venous system diseases. However, there are problems such as incomplete fibrosis and vascular recanalization after sclerotherapy, and improper operation will cause serious adverse consequences. Therefore, exploring a safe and effective sclerotherapy strategy is essential for developing clinically successful sclerotherapy. To solve the above problems, we proposed a new sclerotherapy strategy with a dual mechanism of "vascular damage and plasmin (PLA) system inhibition." We intended to construct a novel cationic surfactant (AEO_x-TA) by reacting tranexamic acid (TA), a parent structure, with fatty alcohol polyoxyethylene ether (AEO_x) by ester bonds. AEO_x-TA could damage vascular endothelium and initiate a coagulation cascade effect to induce thrombus. Furthermore, AEO_x-TA could be degraded by esterase and release the parent drug, TA, which could inhibit the PLA system to inhibit the degradation of thrombus and extracellular matrix and promote the process of vascular fibrosis. In addition, such surfactant-based sclerosants have foam-forming properties, and they can be blended with polyvinyl alcohol (PVA) to prepare a highly stable foam formulation (AEO_x-TA/P), which can achieve a precise drug delivery and prolonged drug retention time, thereby improving drug efficacy and reducing the risk of ectopic embolism. Overall, the novel cationic surfactant AEO_x-TA provides a new avenue to resolve the bottleneck: surfactant sclerosants' efficiency is relatively low in the current sclerotherapy.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

Objective:To investigate the radiation field distribution characteristics in a 9 MeV electron FLASH (e-FLASH) linear accelerator treatment room.Methods:The Geant4 Monte Carlo program was employed for physical simulating of the radiation field distribution inside and outside the treatment room under a single-beam delivery condition with a total dose of 50 Gy at the reference point and a dose rate of 250 Gy/s. High-sensitivity radiation detectors (AT1123) were used to validate the measurements at key points.Results:The dose rate at the reference point was approximately 9×10 11 μSv/h. Due to the scattering and shielding effects, the deviation of the attenuation rate from the inverse-square law was observed and the isodose lines exhibited spatial drift. Measured dose rates at key points showed good agreement with the simulation result, with a maximum deviation within 30%. Conclusions:The complex radiation field distribution can be effectively simulated using Geant4 in an e-FLASH treatment room. This indicated the Geant4 is not only applicable for the shielding calculations in e-FLASH radiotherapy facilities, but also for the design optimization through, reduction of trial-and-error iterations and engineering costs.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

Nonalcoholic steatohepatitis (NASH) is a chronic liver disease associated with metabolic syndrome, such as obesity, diabetes, and hyperlipidemia, and is a progressive form of nonalcoholic fatty liver disease with pathological features including steatosis, lobular inflammation, and hepatocyte damage (ballooning degeneration). Hepatocellular ballooning degeneration is an important pathological feature of NASH and is closely related to the prognosis of NASH patients. Accurate identification of hepatocellular ballooning degeneration is of great significance for diagnosing NASH and assessing therapeutic response. This article reviews the current status and identification methods of hepatocellular ballooning degeneration in NASH, including invasive and noninvasive.

Objective:To explore the early neurodevelopmental features of young children with SYNGAP1 variants and their genotype-phenotype correlation. Methods:Young children with neurodevelopmental disorders (NDDs) (< 5 years old) who were referred to the Children′s Hospital Affiliated to the Capital Institute of Pediatrics between January 2019 and July 2022 were selected as the study subjects. All children had undergone whole-exome sequencing, comprehensive pediatric neuropsychological assessment, familial segregation analysis, and pathogenicity classification. Meanwhile, young Chinese NDD children (< 5 years old) with pathogenic/likely pathogenic SYNGAP1 variants were retrieved from the literature, with information including detailed clinical and genetic testing, neurodevelopmental quotient (DQ) of the Children Neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016). Children who did not have a detailed DQ but had their developmental status assessed by a medical professional were also included. The correlation between neurodevelopmental severity, comorbidity and SYNGAP1 variants were summarized. Results:Four young NDD children carrying SYNGAP1 variants were recruited (1 male and 3 females, with a mean age of 34.0 ± 18.2 months), among whom one harboring a novel variant (c.437C>G, p. S146*). Combined with 19 similar cases retrieved from the literature, 23 Chinese NDD young children were included in our study (8 males and 10 females, 5 with unknown sex, with a mean age of 37.1 ± 14.2 months). A loss of function (LOF) variant was found in 19 (82.6%) children. All of the children had presented global developmental delay (GDD) before the age of two. In addition, 16 (69.6%) had seizure/epilepsy at the age of 27.0 ± 12.1 months, among whom 15 had occurred independent of the global developmental delay. Myoclonic and absence were common types of seizures. Compared with those with variants of exons 8 to 15, the severity of developmental delay was milder among children with variants in exons 1 to 5. Conclusion:The early neurodevelopment features of the SYNGAP1 variants for young children (< 5 years old) have included global developmental delay and seizure/epilepsy. All of the children may present GDD before the age of two. The severity of developmental delay may be related to the type and location of the SYNGAP1 variants.