Objective To explore the relationship between androgen level and adverse pregnancy outcome of pregnant women at advanced maternal age.Methods A total of 192 pregnant women who were admitted to Changzhou Maternal and Child Health Care Hospital for delivery from May to October 2022 were selected as the study objects.According to guidelines for diagnosis and treatment of hypertensive disorder complicating pregnancy and maternal age,the study objects were divided into simple pregnant women at advanced maternal age group,pregnant women at advanced maternal age complicated with hypertensive disorder complicating pregnancy,healthy control group and age-appropriate pregnant women complicated with hypertensive disorder complicating pregnancy group.Serum levels of five androgens[total testosterone(TT),sex hormone binding globulin(SHBG),free testosterone index(FTI),dehydroepiandrosterone sulfate(DHEAS)and androstendi-one(A2)]in each group were detected by chemiluminescence method.Results Compared with the healthy control group,TT,A2,FTI were significantly increased and SHBG was significantly decreased in the age-ap-propriate pregnant women complicated with hypertensive disorder complicating pregnancy group,the level of DHEAS was decreased in the simple pregnant women at advanced maternal age group,and the differences were statistically significant(P＜0.05).Pearson correlation analysis showed that TT was negatively correla-ted with age(P＜0.05),positively correlated with systolic blood pressure,diastolic blood pressure and body mass index(P＜0.05),and had no correlation with offspring sex and offspring weight(P＞0.05).Multivari-ate Logistic regression analysis showed that TT and body mass index were independent risk factors for hyper-tensive disorder complicating pregnancy in pregnant women(P＜0.05).Conclusion The level of androgen in pregnant women at advanced maternal age is related to the occurrence of hypertensive disorder complicating pregnancy.

BackgroundCompared with absenteeism， health-related productivity loss has a long-lasting negative effect， and poses a greater harm and loss. The health-related productivity loss is mediated by self-efficacy， and perceived social support has been shown to have an impact on health-related productivity loss， whereas the interaction mechanism among the three remains unclear. ObjectiveTo investigate the status of perceived social support， occupational coping self-efficacy and health-related productivity loss among ICU nurses， and to test the mediation role of perceived social support in the relationship between occupational coping self-efficacy and health-related productivity loss. MethodsFrom September to November， 2021， purposive sampling technique was adopted to select 468 ICU nurses in 8 tertiary hospitals in Sichuan Province. Subjects were assessed using self-made general information questionnaire， Perceived Social Support Scale （PSSS）， Occupational Coping Self Efficacy Scale for Nurses （OCSE-N） and Stanford Presenteeism Scale-6 （SPS-6）. Pearson correlation analysis was used to examine the correlation among variables. Amos 24.0 was utilized to test the mediation role of perceived social support in the relationship between occupational coping self-efficacy and health-related productivity loss. ResultsA total of 415 ICU nurses completed the valid questionnaire survey. ICU nurses scored （63.13±11.62） on PSSS， （22.24±6.15） on OCSE-N， and （16.83±4.24） on SPS-6. Health-related productivity loss was detected in 279 ICU nurses （67.23%）. Correlation analysis denoted that PSSS total score was positively correlated with OCSE-N total score （r=0.348， P<0.05）， and negatively correlated with SPS-6 total score （r=-0.274， P<0.05）. OCSE-N total score was negatively correlated with SPS-6 total score （r=-0.421， P<0.05）. The direct effect value of occupational coping self-efficacy on health-related productivity loss was -0.401， and perceived social support showed a mediation role in the relationship between occupational coping self-efficacy and health-related productivity loss （the indirect effect value was -0.052， accounting for 11.48% of the total effect）. ConclusionThe occupational coping self-efficacy of ICU nurses may affect the health-related productivity loss through the action path of perceived social support.［Funded by Scientific Research Project of Sichuan Provincial Health Commission （number， 19PJ042）］

Objective To establish a machine learning radiomics model that can accurately predict MRI enhancement patterns of glioma based on T2 fluid attenuated inversion recovery(T2-FLAIR)images for optimizing the workflow of magnetic resonance imaging(MRI)examinations of glioma patients.Methods We retrospectively collected preoperative MR T2-FLAIR images from 385 patients with pathologically confirmed glioma,who were divided into enhancing and non-enhancing groups according to the enhancement pattern.Predictive radiomics models were established using Gaussian Process,Linear Regression,Linear Regression-Least absolute shrinkage and selection operator,Support Vector Machine,Linear Discriminant Analysis or Naive Bayes as the classifiers in the training cohort(n=201)and tested both in the internal(n=85)and external validation cohorts(n=99).The receiver-operating characteristic curve was used to assess the predictive performance of the models.Results The predictive model constructed based on 15 radiomics features using Gaussian Process as the classifier had the best predictive performance in both the training cohort and the internal validation cohort,with areas under the curve(AUC)of 0.88(95%CI:0.81-0.94)and 0.80(95%CI:0.71-0.88),respectively.In the external validation cohort,the model showed an AUC of 0.81(95%CI:0.71-0.90)with sensitivity,specificity,positive predictive value and negative predictive value of 0.98,0.61,0.76 and 0.96,respectively.Conclusion The T2-FLAIR-based machine learning radiomics model can accurately predict the enhancement pattern of gliomas on MRI.

Objective:To investigate the cognitive functions of temporal lobe epilepsy (TLE) patients with bilateral asynchronous interictal discharges.Methods:A total of 162 TLE patients who were treated at Zhongshan Hospital, Fudan University, from June 2021 to December 2023 were collected. According to the interictal scalp electroencephalogram, TLE patients were classified to the TLE with bilateral temporal asynchronous interictal epileptiform discharges ( n=51) and TLE with unilateral temporal epileptiform discharges ( n=111). Unilateral TLE patients were divided into TLE with right ( n=48) and left ( n=63) temporal epileptiform discharges. The Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Digital Span (DS), Verbal Fluency Test (VFT), the third part of Color Word Test (CWT-C), Trail Making Test-B (TMT-B), Symbol Digit Modalities Test (SDMT), Auditory Verbal Learning Test (AVLT), Rey-Osterrieth Complex Figure (ROCF), and Similarity Comprehension Test were performed for the participants. The differences of cognitive functions between patients with bilateral and unilateral temporal discharges were compared. Univariate and multivariate Logistic regression models were used to analyze the risk factors for patients with bilateral temporal asynchronous discharges. Spearman analysis was used to explore the correlation between cognitive function and clinical indicators. Results:In the group of TLE patients with bilateral asynchronous discharges compared to those with unilateral discharges, the completion time of CWT-C [67 (55, 103) s vs 59 (50, 71) s, Z=-2.904, P=0.004], TMT-B [159 (108, 219) s vs 129 (95, 180) s, Z=-2.361, P=0.018] was longer. Additionally, TLE patients with bilateral asynchronous discharges got lower scores of MMSE [28 (26, 29) vs 29 (28, 30), Z=3.098, P=0.002], MoCA [23 (19, 28) vs 27 (23, 28), Z=3.175, P=0.001], AVLT1+2+3 [16.843±6.482 vs 19.162±5.526, t=-2.347, P=0.020], AVLT6 [6 (3, 10) vs 8 (5, 10), Z=3.275, P=0.001], ROCF2 [15 (8, 22) vs 20 (12, 25), Z=2.870, P=0.004], ROCF3 [14 (8, 22) vs 20 (11, 25), Z=2.634, P=0.008], and Similarity Test [13 (8, 18) vs 16 (12, 20), Z=2.387, P=0.017] as well as lower VFT-vegetable and fruit count [15 (13, 19) vs 18 (15, 21), Z=2.402, P=0.016] and SDMT completion count [41 (30, 53) vs 51 (40, 60), Z=3.089, P=0.002]. The multivariate Logistic regression analysis showed that the decrease in AVLT6 scores ( OR=1.546, 95% CI 1.150-2.078, P=0.004) and longer TMT-B time ( OR=1.013, 95% CI 1.001-1.025, P=0.035) were independent risk factors for TLE patients with bilateral asynchronous discharges. Conclusions:Compared to the patients with TLE characterized by unilateral temporal lobe discharges, those with asynchronous discharges in bilateral temporal lobes show statistically significant declines in all domains of cognitive functions, including executive function, memory, and language abilities. Decreased cue recall ability in language memory and prolonged trail-making test in executive function are independent cognitive impairment risk factors for bilateral temporal asynchronous discharges.

Objective To establish a machine learning radiomics model that can accurately predict MRI enhancement patterns of glioma based on T2 fluid attenuated inversion recovery(T2-FLAIR)images for optimizing the workflow of magnetic resonance imaging(MRI)examinations of glioma patients.Methods We retrospectively collected preoperative MR T2-FLAIR images from 385 patients with pathologically confirmed glioma,who were divided into enhancing and non-enhancing groups according to the enhancement pattern.Predictive radiomics models were established using Gaussian Process,Linear Regression,Linear Regression-Least absolute shrinkage and selection operator,Support Vector Machine,Linear Discriminant Analysis or Naive Bayes as the classifiers in the training cohort(n=201)and tested both in the internal(n=85)and external validation cohorts(n=99).The receiver-operating characteristic curve was used to assess the predictive performance of the models.Results The predictive model constructed based on 15 radiomics features using Gaussian Process as the classifier had the best predictive performance in both the training cohort and the internal validation cohort,with areas under the curve(AUC)of 0.88(95%CI:0.81-0.94)and 0.80(95%CI:0.71-0.88),respectively.In the external validation cohort,the model showed an AUC of 0.81(95%CI:0.71-0.90)with sensitivity,specificity,positive predictive value and negative predictive value of 0.98,0.61,0.76 and 0.96,respectively.Conclusion The T2-FLAIR-based machine learning radiomics model can accurately predict the enhancement pattern of gliomas on MRI.

The effect of Radix isatidis polysaccharide(IRPS)on TLR3/TRIF innate immune path-way and type Ⅰ interferon secretion in 3D4/21/CD163 cells infected by porcine reproductive and re-spiratory syndrome virus(PRRSV)was tested by Western blot and ELISA;moreover,the effect of IRPS on the immunosuppression infected by PRRSV was further verified with the TLR3 agonist poly(I∶C).The results showed that the protein levels of TLR3,TRIF,IRF3,IRF7 and type Ⅰ in-terferon secretion were significantly decreased at 18,24 h of PRRSV infection,while IRPS signifi-cantly inhibited this process;poly(I∶C)alleviated the protein levels of TRIF,IRF3 and IRF7 as well as the phosphorylation levels of IRF3 and IRF7 infected by PRRSV;at the same time,IRPS is synergistic with poly(I∶C).The results indicate that IRPS is able to alleviate immunosuppression caused by PRRSV infection via the TLR3/TRIF pathway.

Objective:To assess the efficacy of induction chemotherapy followed by allogeneic hematopoietic stem cell transplantation (allo-HSCT) in the treatment of FLT3-ITD + acute myeloid leukemia (AML) with normal karyotype. Methods:The clinical data of FLT3-ITD + AML patients with normal karyotype in the First Affiliated Hospital of Nanjing Medical University from Jan 2018 to March 2021 were retrospectively analyzed. Results:The study included 49 patients with FLT3-ITD +AML, 31 males, and 18 females, with a median age of 46 (16-59) years old. All patients received induction chemotherapy, and 24 patients received sequential allo-HSCT (transplantation group) . The median follow-up time was 465 days, the one-year overall survival (OS) from diagnosis was (70.0 ± 7.4) %, and one-year disease-free survival (DFS) was (70.3±7.4) %. The one-year OS was significantly different between the transplantation group and the non-transplantation group [ (85.2 ± 7.9) % vs (52.6 ± 12.3) %, P=0.049]. but one-year DFS [ (84.7 ± 8.1) % vs (55.2 ± 11.9) %, P=0.061] was not. No significance was found in one-year OS between patients with low-frequency and high-frequency FLT3-ITD + ( P>0.05) . There were 12 patients with high-frequency FLT3-ITD + in the transplantation and the non-transplantation groups, respectively. The one-year OS [ (68.8 ± 15.7) % in the transplantation group vs (26.2 ± 15.3) % in the non-transplantation group, P=0.027] and one-year DFS [ (45.5 ± 21.3) % in the transplantation group vs (27.8±15.8) % in the non-transplantation group, P=0.032] were significantly different between the two groups. Conclusion:Induction chemotherapy followed by allo-HSCT can enhance the prognosis of FLT3-ITD + patients, particularly those with FLT3-ITD high-frequency mutation.

BACKGROUND: China bears the biggest atrial fibrillation (AF) burden in the world. However, little is known about the incidence and predictors of AF. This study aimed to investigate the current incidence of AF and its electrocardiographic (ECG) predictors in general community individuals aged over 60 years in China. METHODS: This was a prospective cohort study, recruiting subjects who were aged over 60 years and underwent annual health checkups from April to July 2015 in four community health centers in Songjiang District, Shanghai, China. The subjects were then followed up from 2015 to 2019 annually. Data on sociodemographic characteristics, medical history, and the resting 12-lead ECG were collected. Kaplan-Meier curve was used for showing the trends in AF incidence and calculating the predictors of AF. Associations of ECG abnormalities and AF incidence were examined using Cox proportional hazard models. RESULTS: This study recruited 18,738 subjects, and 351 (1.87%) developed AF. The overall incidence rate of AF was 5.2/1000 person-years during an observation period of 67,704 person-years. Multivariable Cox regression analysis indicated age (hazard ratio [HR], 1.07; 95% confidence interval [CI]: 1.06-1.09; P < 0.001), male (HR, 1.30; 95% CI: 1.05-1.62; P = 0.018), a history of hypertension (HR, 1.55; 95% CI: 1.23-1.95; P < 0.001), a history of cardiac diseases (HR, 3.23; 95% CI: 2.34-4.45; P < 0.001), atrial premature complex (APC) (HR, 2.82; 95% CI: 2.17-3.68; P < 0.001), atrial flutter (HR, 18.68; 95% CI: 7.37-47.31; P < 0.001), junctional premature complex (JPC) (HR, 3.57; 95% CI: 1.59-8.02; P = 0.002), junctional rhythm (HR, 18.24; 95% CI: 5.83-57.07; P < 0.001), ventricular premature complex (VPC) (HR, 1.76; 95% CI: 1.13-2.75, P = 0.012), short PR interval (HR, 5.49; 95% CI: 1.36-22.19; P = 0.017), right atrial enlargement (HR, 6.22; 95% CI: 1.54-25.14; P = 0.010), and pacing rhythm (HR, 3.99; 95% CI: 1.57-10.14; P = 0.004) were independently associated with the incidence of AF. CONCLUSIONS The present incidence of AF was 5.2/1000 person-years in the studied population aged over 60 years in China. Among various ECG abnormalities, only APC, atrial flutter, JPC, junctional rhythm, short PR interval, VPC, right atrial enlargement, and pacing rhythm were independently associated with AF incidence.
Humans ; Male ; Middle Aged ; Aged ; Atrial Fibrillation/epidemiology* ; Prospective Studies ; Incidence ; Atrial Flutter/complications* ; Risk Factors ; China/epidemiology* ; Electrocardiography

The ABRACL protein, the regulator of actin and cell motility, belongs to the HSPC280 family, and its conserved hydrophobic groove can interact with other proteins to facilitate actin motility and cellular activity. ABRACL is upregulated in tumor tissues and is closely linked with the proliferation and migration of tumor cells. A deeper understanding of the role of ABRACL in tumorigenesis and development may provide new ideas and insights for ABRACL to prevent or reverse tumor progression.

Objective:To purify H5N1 influenza virus concentrate prepared by MDCK cells with a new mixed-mode chromatography medium Capto Core700 and the traditional medium Sepharose 4FF, and to compare the separation and purification efficacy of the two media.Methods:Capto Core700 and Sepharose 4FF were used to purify inactivated H5N1 influenza virus concentrate. The morphology of virus particles in different samples was then observed under a transmission electron microscope. Single radial immunodiffusion (SRID), Folin-Phenol (Lowry) method, double-antibody sandwich ELISA and qPCR were used to detect hemagglutinin, total protein, host cell protein (HCP) and host cell DNA (HCD) before and after purification. The recovery rate of virus antigen and the removal rate of impurities were calculated. The immunogenicity of the viruses purified with different media was analyzed using animal experiments. Difference in the purification efficacy of the two chromatography media was analyzed by t-test. Results:H5N1 influenza viruses purified by Capto Core700 or Sepharose 4FF showed the typical influenza virus morphology under transmission electron microscope. There was no significant difference in the recovery rate of hemagglutinin between the two chromatography media ( P>0.05), but compared with Sepharose 4FF, Capto Core700 had a higher removal rate of impurities (total protein, HCP, HCD) and the difference was statistically significant ( P<0.05). Animal experiments showed that the viruses purified by the two chromatography media had good immunogenicity. Conclusions:Compared with Sepharose 4FF chromatography medium, Capto Core700 could more effectively remove process-related impurities such as HCP, HCD and total protein without affecting the recovery rate of viral antigen. This study provided reference for the development of purification technology in the production of H5N1 influenza virus vaccine in MDCK cells.