Objective To systematically evaluate the risk prediction models for postoperative delirium in adults with cardiac surgery. Methods The SinoMed, CNKI, Wanfang, VIP, PubMed, EMbase, Web of Science, and Cochrane Library databases were searched to collect studies on risk prediction models for postoperative delirium in cardiac surgery published up to January 29, 2025. Two researchers screened the literature according to inclusion and exclusion criteria, used the PROBAST bias tool to assess the quality of the literature, and conducted a meta-analysis of common predictors in the model using Stata 17.0 software. Results A total of 21 articles were included, establishing 45 models with 28733 patients. Age, cardiopulmonary bypass time, history of diabetes, history of cerebrovascular disease, and gender were the top five common predictors. The area under the curve (AUC) of the 45 models ranged from 0.544 to 0.98. Fourteen out of the 21 studies had good applicability, while the applicability of the remaining seven was unclear; 20 studies had a high risk of bias. Meta-analysis showed that the incidence of postoperative delirium in adults with cardiac surgery was 18.6% [95%CI (15.7%, 21.6%)], and age [OR=1.045 (1.036, 1.054), P<0.001], history of cerebrovascular disease [OR=1.758 (1.459, 2.057), P<0.001], gender [OR=1.732 (1.430, 2.034), P<0.001], mini-mental state examination score [OR=3.930 (1.859, 8.309), P<0.001], and length of ICU stay [OR=5.586 (4.289, 6.883), P<0.001] were independent influencing factors for postoperative delirium after cardiac surgery. Conclusion The risk prediction models for postoperative delirium after cardiac surgery have good predictive performance, but there is a high overall risk of bias. In the future, large-sample, multicenter, high-quality prospective clinical studies should be conducted to construct the optimal risk prediction model for postoperative delirium in adults with cardiac surgery, aiming to identify and prevent the occurrence of postoperative delirium as early as possible.

The patient was a 56-year-old man who presented with abnormal urinalysis findings of over one month’s duration. Serological tests revealed an elevated serum free light chain κ/λ ratio, and immunofixation electrophoresis detected an IgG-κ monoclonal band. Renal biopsy demonstrated membranous nephropathy, with electron-dense deposits observed in the subepithelial space and mesangium on electron microscopy. Immunofluorescence confirmed glomerular deposits of IgG_1/IgG₃-κ. Based on clinical manifestation, bone marrow flow cytology, and lymph node pathology, the patient was diagnosed with small lymphocytic lymphoma (SLL), and membranous nephropathy with light chain-restricted deposition (IgG₁/IgG₃-κ) secondary to SLL. After receiving obinutuzumab treatment, the patient’s proteinuria partially remitted, the lymph nodes significantly shrank, and clinical remission was achieved.

Background: Advances in intensive care have markedly improved survival after severe brain injury, leading to a growing population of patients with prolonged disorders of consciousness (pDOC). Current management of pDOC remains largely supportive, and evidence-based neuromodulatory interventions are limited; moreover, existing guidelines provide insufficiently explicit recommendations regarding mechanisms of action and objective biomarkers of treatment response. Transcutaneous auricular vagus nerve stimulation (taVNS) has emerged as a potential noninvasive intervention; however, its modulatory effects on brain function in pDOC are not yet well characterized, and the paucity of integrative mechanistic evidence has constrained its translation into routine clinical practice. Objectives: Within a multimodal assessment framework, this study aims to systematically elucidate the neurobiological mechanisms by which taVNS modulates brain function and autonomic activity in patients with pDOC, and to evaluate its clinical potential to enhance levels of consciousness. Methods: In this randomized controlled trial, 60 patients with vegetative state/minimally conscious state will be enrolled and randomly allocated to a taVNS group, a transcutaneous nonauricular vagus nerve stimulation group (sham), or a control group (n = 20 per group) for a 4-week intervention. The primary outcome will be changes in the Coma Recovery Scale-Revised scores from baseline to weeks 1, 2, and 4 of treatment. Secondary outcomes will include functional brain activity assessed by electroencephalography and functional near-infrared spectroscopy, as well as autonomic modulation indexed by heart rate variability. Functional prognosis will be evaluated using the Glasgow Outcome Scale-Extended at the end of treatment and at a 6-month follow-up. Safety will be assessed by continuous monitoring and documentation of adverse events throughout the study period. Results and discussion: By integrating electroencephalography–functional near-infrared spectroscopy with heart rate variability, this study will characterize the effects of taVNS on functional brain networks and consciousness recovery in pDOC across complementary behavioral, electrophysiological, hemodynamic, and autonomic domains, while interrogating potential sources of clinical and neurobiological heterogeneity. The findings are expected to provide a mechanistic and evidence-based foundation for the mechanism-driven clinical implementation of taVNS and the optimization of stimulation protocols in pDOC. Clinical trial registration: International Traditional Medicine Clinical Trial Registry, ITMCTR20250021041, https://itmctr.ccebtcm.org.cn.

Objective To analyze the influencing factors for postoperative anastomotic leak (AL) in carcinoma of the esophagus and gastroesophageal junction and construct a nomogram predictive model. Methods The patients who underwent radical esophagectomy at Jinling Hospital Affiliated to Nanjing University School of Medicine from January 2018 to June 2020 were included in this study. Relevant variables were screened using univariate and multivariate logistic regression analyses. A nomogram was then developed to predict the risk factors associated with postoperative AL. The predictive performance of the nomogram was validated using the receiver operating characteristic (ROC) curve. Results A total of 468 patients with carcinoma of the esophagus and gastroesophageal junction were included in the study, comprising 354 males and 114 females, with a mean age of (62.8±7.2) years. The tumors were predominantly located in the middle or lower esophagus, and 51 (10.90%) patients experienced postoperative AL. Univariate logistic regression analysis indicated that age, body mass index (BMI), tumor location, preoperative albumin levels, diabetes mellitus, anastomosis technique, anastomosis site, and C-reactive protein (CRP) levels were potentially associated with AL (P<0.05). Multivariate logistic regression analysis identified age, BMI, tumor location, diabetes mellitus, anastomosis technique, and CRP levels as independent risk factors for AL (P<0.05). A nomogram was developed based on the findings from the multivariate logistic regression analysis. The area under the receiver operating characteristic (ROC) curve was 0.803, indicating a strong concordance between the actual observations and the predicted outcomes. Furthermore, decision curve analysis demonstrated that the newly established nomogram holds significant value for clinical decision-making. Conclusion The predictive model for postoperative AL in patients with carcinoma of the esophagus and gastroesophageal junction demonstrates strong predictive validity and is essential for guiding clinical monitoring, early detection, and preventive strategies.

Background The high work intensity and possible subsequently increased susceptibility to occupational hazards of calcium carbide plants may lead to hypertension in workers, but there are few studies on the relationship between occupational hazard exposure and hypertension in workers involving the production process of calcium carbide. Objective To explore the influence of occupational hazards on the incidence of hypertension in calcium carbide plants. Methods Using historical cohort design, the employees of a calcium carbide factory in the western part of Inner Mongolia Autonomous Region were selected as research subjects. According to the pre-determined inclusion and exclusion criteria, the study population comprised an exposure group of 377 employees (including furnace workers, inspection workers, and maintenance workers) exposed to dust, noise & carbon monoxide, and a control group of 388 employees (including central control workers, electricians, and administrative personnel) without above-mentioned exposure. The total sample size was 765 participants. The follow-up period was from April 2011 to October 2022, and the study endpoint was defined as the conclusion of the follow-up period or diagnosed hypertension in annual occupational health examination. Information on general demographic characteristics, living habits, and work status was collected from all study subjects. Cox proportional hazards regression model was used to analyze the association between occupational hazard exposure and the risk of hypertension among the calcium carbide plant employees. Results The average age, mean systolic and diastolic blood pressure, proportion of males, smoking rate, and alcohol consumption rate in the exposure group were higher than those in the control group (P<0.05). Compared to baseline, both systolic and diastolic blood pressure levels increased in the exposure group and the control group at the end of the follow-up (P<0.05). At the end of the follow-up, the average differences between systolic/ diastolic blood pressure and baseline values in the exposure group were higher than those in the control group (P<0.05). During the follow-up period, a total of 223 cases of hypertension occurred, with a total follow-up of 2785 person-years, resulting in an incidence density of 8007.18 per 100000 person-years, an average age of onset of (35.90±8.22) years, and an average working age of onset of (2.69±1.97) years. The incidence density in the exposure group was 128.71% higher than that in the control group, and the risk of hypertension in the exposure group was 2.115 times that of the control group. The risk of hypertension was 2.199 times higher for men than for women, 1.344 times higher for those aged 30 and above than for those under 30, 1.546 times higher for smokers than for non-smokers, and 1.750 times higher for drinking workers than for non-drinking ones. The results of Cox proportional hazards regression modeling indicated that the hazard ratio (95%CI) of hypertension among the employees exposed to dust, noise, and carbon monoxide was 2.254 (1.703, 2.982), 1.594 (1.107, 2.295), and 1.567 (1.079, 2.274), respectively, when different covariates (gender, age, smoking, and alcohol consumption) were included. The results of Log-rank test showed that there were statistically significant differences in the distribution of disease-free survival between the exposure group and the control group (P<0.05). Conclusion Occupational exposures to dust, noise, and carbon monoxide may increase the risk of hypertension among calcium carbide plant workers.

A VLi-net based cell nucleus segmentation method integrating convolutional neural networks(CNN)and Vision Transformer(ViT)is proposed to address the limitation that the U-Net with CNN as its backbone is only proficient in capturing local features and has a restricted receptive field.Firstly,to mitigate challenges such as high cost of data annotation and insufficient annotated data,text annotations are introduced to enhance the network's understanding of image information.Secondly,to improve the segmentation performance of VLi-net,ViT and CNN are combined to fully extract global and local features,with multi-receptive field convolution features incorporating into the ViT structure for effectively mitigating the issues of limited local information interaction and single feature representation in ViT.Finally,an interactive fusion module(ViFusion)is used to efficiently fuse the multi-level features from the CNN and ViT branches.Experimental results show that VLi-net achieves a Dice coefficient of 80.85%and a mean intersection over union(MIoU)of 66.83%on the MoNuSeg dataset,obtains a Dice coefficient of 80.53%and a MIoU of 67.54%on the DSB-2018 dataset,and has a Dice coefficient of 86.87%and a MIoU of 77.44%on the TNBC dataset.These findings confirm that VLi-net outperforms other methods across multiple experimental metrics.

Myasthenia gravis(MG)is an autoimmune disease characterized primarily by skeletal muscle weakness and,in severe cases,respiratory involvement.Western medical treatment predominantly relies on immunosuppressants,but long-term administration often leads to notable side effects.In contrast,traditional Chinese medicine(TCM)offers the advantage of multi-target interventions.However,the pathogenesis of MG has not been fully elucidated,and the establishment of animal models that accurately reflect the clinical characteristics of both Chinese and Western medicine is essential for mechanism research and new drug development.This paper systematically reviews the etiology and pathogenesis,diagnostic criteria,and progress of animal model research for MG from both Chinese and Western medicine perspectives.In Western medicine,the pathogenesis of MG is closely related to genetic susceptibility,environmental factors,and autoantibody-mediated postsynaptic membrane damage.In TCM,MG is classified under the category of"flaccidity syndrome",attributed to congenital deficiencies and acquired malnourishment.Western diagnostic criteria involve a combination of clinical symptoms,fatigue testing,serum antibody assays,and electrophysiological evaluation.In contrast,TCM diagnosis emphasizes the integration of primary and secondary symptoms with tongue and pulse pattern differentiation.Currently available animal models mainly include experimental autoimmune myasthenia gravis(EAMG)and passive transfer myasthenia gravis(PTMG).The Toredo acetylcholine receptor(AChR)induced EAMG model aligns well with Western diagnostic criteria,but poorly matches secondary symptoms in TCM.The synthetic AChR peptide model is widely used,but shows low conformity with TCM syndromes.Models induced by muscle-specific tyrosine kinase(MuSK),low-density lipoprotein receptor-related protein 4(LRP4),and transgenic models demonstrate high innovation but exhibit low clinical conformity.Evaluation of these models requires integration of behavioral,electrophysiological,and immunological indicators.However,a systematic framework for modelling TCM syndromes is still lacking.Future research should integrate TCM-based etiological modelling methods with the Western pathological mechanisms to construct disease-syndrome combination models.Additionally,it is crucial to establish a TCM syndrome evaluation system based on"validation by prescription",as well as to improve the scientific rigor and practicality of animal models by the incorporation of emerging technologies.This review provides a theoretical foundation for optimizing MG animal model design,advancing the research on the combination of Chinese and Western medicine,and supporting efficacy assessment and mechanism exploration of Chinese herbal prescriptions.

OBJECTIVE To observe the impact of Bifidobacterium quadruple viable organisms combined with inter-ferons on serum amyloid A(SAA),transforming growth factor-β(TGF-β),25-hydroxyvitamin D3[25(OH)D3]and intestinal function of the children with rotavirus-induced viral diarrhea.METHODS A total of 88 children with rotavirus-induced viral diarrhea who were treated in Affiliated Hospital of Jiangnan University from Mar.2020 to Dec.2023 were recruited as the research subjects and were randomly divided into the conventional group with 44 cases(conventional symptomatic therapy plus interferons)and the combination group with 44 cases(the conven-tional symptomatic therapy plus Bifidobacterium quadruple viable organisms),and both groups were continuously treated for 5 days.The clinical curative effect and improvement of clinical symptoms were observed and compared between the two groups.The changes of peripheral blood immune function indexes,inflammatory factors,intesti-nal function indexes,SAA,TGF-β and 25(OH)D3 were analyzed.RESULTS There was no significant difference in the effective rate of treatment between the combination group and the conventional group after the treatment for 5 days(Z=1.375,P=0.169).The duration of stool property back to normal,fever abatement,number of defeca-tion times back to normal,cessation of diarrhea,virus turning to be negative and disappearance of abdominal pain was shorter in the combination group than in the conventional group(P＜0.05).The immune function,inflamma-tory factors and intestinal function indexes were improved more remarkably in the combination group than in the conventional group after the treatment for 5 days(P＜0.05).The levels of SAA,TGF-β and 25(OH)D3 of the combination group were respectively(3.84±0.35)pg/ml,(4.87±0.28)pg/ml and(50.63±7.14)pg/ml after the treatment for 5 days,higher than those of the conventional group.CONCLUSION Bifidobacterium quadruple viable organisms combined with interferons can effectively shorten the recovery time of clinical symptoms of the children with rotavirus-induced viral diarrhea,relieve the inflammatory reactions,improve the intestinal function and immune function,and stabilize the levels of serum SAA,TGF-β and 25(OH)D3.

A tertiary public general hospital in Guangdong has innovated its inpatient bed scheduling system by integra-ting multiple models,including"Hospital-Wide Bed Pooling,"outpatient chemotherapy,day surgery,pre-admission,and pre-discharge programs.Supported by policy guidance,this initiative optimizes clinical operations,enhances patient admission struc-tures and processes,and improves bed utilization efficiency through a multi-dimensional centralized bed management approach.By rationally allocating hospital-wide bed resources and maximizing their operational effectiveness,the hospital advances high-quality development in healthcare delivery.

A VLi-net based cell nucleus segmentation method integrating convolutional neural networks(CNN)and Vision Transformer(ViT)is proposed to address the limitation that the U-Net with CNN as its backbone is only proficient in capturing local features and has a restricted receptive field.Firstly,to mitigate challenges such as high cost of data annotation and insufficient annotated data,text annotations are introduced to enhance the network's understanding of image information.Secondly,to improve the segmentation performance of VLi-net,ViT and CNN are combined to fully extract global and local features,with multi-receptive field convolution features incorporating into the ViT structure for effectively mitigating the issues of limited local information interaction and single feature representation in ViT.Finally,an interactive fusion module(ViFusion)is used to efficiently fuse the multi-level features from the CNN and ViT branches.Experimental results show that VLi-net achieves a Dice coefficient of 80.85%and a mean intersection over union(MIoU)of 66.83%on the MoNuSeg dataset,obtains a Dice coefficient of 80.53%and a MIoU of 67.54%on the DSB-2018 dataset,and has a Dice coefficient of 86.87%and a MIoU of 77.44%on the TNBC dataset.These findings confirm that VLi-net outperforms other methods across multiple experimental metrics.