Objective:To investigate the application and teaching effect of a new residency training model for emergency medicine in the context of sub-specialty zoning.Methods:A total of 30 emergency medicine residents were randomly divided into experimental group and control group, with 15 residents in each group. The residents in the experimental group received teaching based on the sub-specialty zoning model, while those in the control group received traditional teaching. SPSS 26.0 software was used for the t-test and the chi-square test, and the two groups were compared in terms of demographic variables, training assessment scores, and teaching feedback. Results:There were no significant differences between the two groups in the demographic variables such as age, sex, education background, and years of clinical work, and there was also no significant difference between the two groups in the final assessment score of Chongqing ( P>0.05), but there was a significant difference between the two groups in the score of intra-department theoretical examination before the final assessment [(81.20±2.83) vs. (89.73±3.01), P<0.001]. The survey of teaching feedback showed that both groups had high confidence in independent duty and a high degree of satisfaction with teaching, with no significant differences between the two groups ( P>0.05); however, compared with the control group, the experimental group had a significantly higher recognition of the development of emergency sub-specialties and significantly better orientations of scientific research and self-development. Conclusions:The new residency training model for emergency medicine in the context of sub-specialty zoning may help with the long-term development of emergency medicine and should be further promoted and validated in emergency medicine residency training.

With the continuous improvement of medical information and intelligence, multi-modal data fusion technology is increasingly widely used in the medical field. Multi-modal data not only has a large quantity, but also has rich information content, which can provide strong support for clinical nursing decision-making. However, due to the uneven level of informatization and intelligence development among medical institutions, the development and application of nursing decision support system is still in a fragmented state. Based on this, this study explores in depth the current application status and challenges faced by multi-modal data fusion in nursing decision support systems, with the aim of providing reference for the design and improvement of nursing decision support system at all levels of medical institutions in the future.

The pathogens were isolated and purified from the stomach,jejunum and rectum tissues of a Yunnan snub-nosed monkey who died of vomiting,oral and nasal chyme,and abdominal dis-tension,and the species and biological characteristics of the pathogens were studied by biochemical identification,PCR identification,drug susceptibility test,pathogenicity test,serotype identifica-tion,and drug resistance gene and virulence gene analysis.The results showed that the pathogens i-solated from stomach,jejunum and rectum were Escherichia coli(E.coli)serotype O127,belong-ing to enteropathogenic E.coli.They were resistant to cefoxitin and sensitive to gentamicin,gati-floxacin and ciprofloxacin.All the three strains carried drug resistance genes blaTEM and blaCTX-M and virulence genes opmA and opmC.This study provides reference and data support for the prevention and control of enteritis caused by E.coli in Yunnan snub-nosed monkey.

Objective:To explore the differences in dynamic spontaneous brain activity in individuals with subjective cognitive decline (SCD) and its correlation with spatial navigation ability in SCD subjects.Methods:A total of 72 SCD subjects(SCD group) and 67 normal controls (NC group) matched for age, gender and education level were recruited from September 2020 to February 2023 at the Affiliated Drum Tower Hospital, Medical School of Nanjing University. All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) examinations, spatial navigation tests and cognitive function assessments. The rs-fMRI time series were segmented using a sliding time window method, and statistical analyses were carried out using SPSS 26.0 software to compare the differences in the dynamic amplitude of low frequency fluctuation (dALFF) between the two groups. Correlation analysis was conducted between dALFF values in different brain regions and scale scores and spatial navigation tests.Results:Compared with the NC group, the dALFF variability in the right precuneus(0.119±0.021, 0.130±0.031) and left cuneus(0.143±0.034, 0.156±0.032) in SCD group decreased ( t=-3.41, -3.12, P<0.05, FDR corrected), and the dALFF variability in the right middle occipital gyrus(0.146±0.023, 0.137±0.020) and right angular gyrus(0.148±0.025, 0.139±0.026) increased ( t=4.51, 3.36, both P<0.05, FDR corrected). The temporal variability of dALFF in the right precuneus in SCD group was negatively correlated with egocentric spatial navigation ( r=-0.341, P=0.025), delayed allocentric spatial navigation ( r=-0.286, P=0.035) and memory function ( r=-0.332, P=0.009). The temporal variability of dALFF in the left middle occipital gyrus was positively correlated with language function ( r=0.339, P=0.015) and visuospatial function ( r=0.343, P=0.008) in SCD group. Conclusions:The temporal variability of dALFF in the right precuneus and the left middle occipital gyrus may be the neurobiological basis of cognitive decline and spatial navigation impairment in SCD subjects, and it can be used as a potential imaging marker for early identification of SCD patients.

Gait deficits and balance disturbances are prevalent clinical features in Parkinson′s disease (PD). There is an increasing body of evidence pointing towards the degeneration of central cholinergic neurons as a crucial factor leading to these disturbances in PD. This paper presents a comprehensive review of the relevant research on the involvement of the central cholinergic system in the mechanisms underlying gait deficits and balance disturbance in PD. The aim is to provide new perspectives and insights for the treatment of gait deficits and balance disturbances in PD.

Multiple system atrophy (MSA) is a progressive neurodegenerative disease, which is characterized by a combination of autonomic dysfunction, parkinsonism, and cerebellar ataxia. Among them, the incidence of non-motor pain is as high as 40%-88%, which is the main factor leading to emotional disorders and affecting the quality of life of patients. Currently, clinical recognition and management of MSA-related pain are inadequate. In this paper, the recent advances in clinical characteristics, influencing factors, pathogenesis, clinical assessment, therapeutic management of MSA-related pain are reviewed, in order to provide references for identification and management of clinical MSA-related pain.

Objective:To analyze clinical features, short-term efficacy and side effects of salvage re-irradiation therapy for patients with locally recurrent esophageal cancer after definitive chemoradiotherapy, to investigate the prognostic factors of re-irradiation with precise radiotherapy techniques.Methods:A retrospective analysis was performed on patients with locally recurrent esophageal squamous cell carcinoma after definitive chemoradiotherapy treated in the Fourth Hospital of Hebei Medical University from January 2008 to December 2016. The patients underwent re-irradiation therapy (re-RT) or re-irradiation therapy concurrent chemotherapy (re-CCRT). The main observation index was after-recurrence survival (ARS), which was calculated by Kaplan-Meier method for survival analysis. Univariate analysis was conducted by log-rank test, and multivariate analysis was performed by Cox regression model.Results:A total of 109 patients were included, with a median age of 66 years (43-89 years), and a median follow-up time of 120.8 months (79.0-176.5 months). The objective response rates (ORR) and dysphagia improvement rates (DIR) in all patients were 64.2% and 63.0%, respectively. The median ARS and 1-, 3-, 5-, 8-year survival rates in all patients were 7.8 months and 32.1%, 9.2%, 7.3% and 2.3%, respectively. The median ARS and 1-, 3-, 5-years survival rates were 10.8 months and 45.9%, 13.5%, 10.8% for patients with time to recurrence (TTR) ≥24 months, significantly longer than those of 5.7 months and 25.0%, 6.9%, 5.6% for patients with TTR<24 months ( χ2=7.99, P=0.005). The median ARS in groups with re-irradiation dose of ≤50 Gy,>50-54 Gy, and>54 Gy groups were 5.7, 10.0 and 8.1 months, respectively ( χ2=6.94, P=0.031). The 1-, 3- and 5-year survival rates were 30.4%, 5.1%, and 3.8% for re-RT versus 36.7%, 20.0%, and 16.7% for re-CCRT ( χ2=2.12, P=0.145). Multivariate analysis showed that TTR ( HR=0.607, 95% CI=0.372-0.991, P=0.046) and lesion length ( HR=0.603, 95% CI=0.371-0.982, P=0.042) were the independent factors for ARS. There was no significant difference in ≥2 grade pneumonitis and 2-3 grade radiation esophagitis between the re-RT and re-CCRT groups ( χ2=0.25, P=0.619; χ2=0.51, P=0.808). The morbidity of ≥2 grade myelosuppression in the re-RT group was significantly lower than that in the re-CCRT group (3.7% vs. 36.7%, χ2=18.15, P<0.001). Conclusions:Precise re-irradiation therapy for patients with locally recurrent esophageal cancer after definitive chemoradiotherapy can alleviate dysphagia, but ARS remains poor. Re-irradiation dose range from>50-54 Gy may be suitable for locally relapse patients as salvage treatment. Patients with TTR≥24 months and lesion length ≤5 cm obtain favorable prognosis.

Objective:To investigate the predictive value of fluid-attenuated inversion recovery (FLAIR) signal strength ratio (SIR) in onset time≤4.5 h in patients with acute ischemic stroke.Methods:A retrospective analysis was performed; 180 acute ischemic stroke patients admitted to Department of Neurology, Nanjing Hospital Affiliated to Nanjing Medical University from January 2020 to June 2023 were chosen. Hypoperfusion intensity ratio (HIR) was used to evaluate the collateral circulation (poor collateral circulation: HIR≤0.4; good collateral circulation: HIR>0.4); clinical data and imaging indexes between poor collateral circulation and good collateral circulation groups were compared. Univariate and multivariate Logistic regressions were used to analyze the influencing factors for onset time≤4.5 h in patients with acute ischemic stroke. Correlation between SIR and onset time was analyzed in patients with acute ischemic stroke. Role of HIR as agency between SIR and onset time was explored. Receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of SIR and diffusion weighted imaging (DWI)-FLAIR mismatch in onset time≤4.5 h in acute ischemic stroke patients.Results:Of the 180 patients, 100 were into the good collateral circulation group and 80 were into the poor collateral circulation group; compared with the good collateral circulation group, the poor collateral circulation group had significantly higher percentage of patients with hyperlipidemia, larger DWI infarction volume before treatment, larger perfusion weighted imaging (PWI)-DWI mismatch volume and higher SIR ( P<0.05). In these 180 patients, 76 had onset time≤4.5 h and 104 had onset time>4.5 h. Univariate Logistic regression analysis showed that hyperlipidemia, DWI infarct volume before treatment, DWI-FLAIR mismatch, HIR and SIR were influencing factors for onset time≤4.5 h in acute ischemic stroke patients ( P<0.05). Multivariate Logistic regression analysis showed that hyperlipidemia ( OR=6.654, 95% CI: 5.751-8.824, P<0.001), HIR ( OR=0.724, 95% CI: 0.521-1.321, P=0.041) and SIR ( OR=739.881, 95% CI: 383.296-14 258.065, P<0.001) were independent influencing factors for onset time≤4.5 h in acute ischemic stroke patients. Pearson correlation analysis showed that SIR was positively correlated to onset time in patients with acute ischemic stroke ( r=0.420, P<0.05), and SIR was positively correlated to onset time in patients from poor collateral circulation group ( r=0.781, P<0.05). ROC curve showed that AUC of SIR in predicting onset time≤4.5 h was 0.917 (95% CI: 0.814-1.000, P<0.001) and that of DWI-FLAIR mismatch in predicting onset time≤4.5 h was 0.530 (95% CI: 0.509-0.757, P=0.075) in poor collateral circulation group, enjoying significant difference in predictive efficacy. Conclusion:Acute ischemic stroke patients with low HIR and SIR have higher odds of onset time≤4.5 h; SIR can more accurately predict the onset time in these patients with poor collateral circulation.

Here, we report a previously unrecognized syndromic neurodevelopmental disorder associated with biallelic loss-of-function variants in the RBM42 gene. The patient is a 2-year-old female with severe central nervous system (CNS) abnormalities, hypotonia, hearing loss, congenital heart defects, and dysmorphic facial features. Familial whole-exome sequencing (WES) reveals that the patient has two compound heterozygous variants, c.304C>T (p.R102*) and c.1312G>A (p.A438T), in the RBM42 gene which encodes an integral component of splicing complex in the RNA-binding motif protein family. The p.A438T variant is in the RRM domain which impairs RBM42 protein stability in vivo. Additionally, p.A438T disrupts the interaction of RBM42 with hnRNP K, which is the causative gene for Au-Kline syndrome with overlapping disease characteristics seen in the index patient. The human R102* or A438T mutant protein failed to fully rescue the growth defects of RBM42 ortholog knockout ΔFgRbp1 in Fusarium while it was rescued by the wild-type (WT) human RBM42. A mouse model carrying Rbm42 compound heterozygous variants, c.280C>T (p.Q94*) and c.1306_1308delinsACA (p.A436T), demonstrated gross fetal developmental defects and most of the double mutant animals died by E13.5. RNA-seq data confirmed that Rbm42 was involved in neurological and myocardial functions with an essential role in alternative splicing (AS). Overall, we present clinical, genetic, and functional data to demonstrate that defects in RBM42 constitute the underlying etiology of a new neurodevelopmental disease which links the dysregulation of global AS to abnormal embryonic development.
Female ; Animals ; Mice ; Humans ; Child, Preschool ; Intellectual Disability/genetics* ; Heart Defects, Congenital/genetics* ; Facies ; Cleft Palate ; Muscle Hypotonia

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.