Background: and Purpose Live cell-based assays (LCBA) are increasingly used for serological antibody detection due to their ability to preserve antigen conformation, offering moderately higher sensitivity than fixed cell-based assays. However, the clinical necessity of prioritizing LCBA for the detection of aquaporin-4 immunoglobulin G (AQP4-IgG) in neuromyelitis optica spectrum disorder (NMOSD) remains unclear, especially when compared to its established role in diagnosing myelin oligodendrocyte glycoprotein antibody-associated disease. Methods: We compared the performance of live cell-based assays using immunofluorescence (LCBA-IF) and fixed cell-based assays using immunofluorescence (FCBA-IF) in detecting AQP4-IgG in 90 cases of NMOSD meeting 2015 International Panel for Neuromyelitis Optica Diagnosis criteria, alongside 40 controls. Additionally, we further investigated the relationship between AQP4-IgG titers as measured by LCBA-IF and FCBA-IF and clinical parameters in NMOSD patients. Results: Results showed 96.9% agreement between LCBA-IF and FCBA-IF (Cohen’s κ=0.935), with a strong Spearman correlation (0.977, p<0.001). Both methods demonstrated 100% specificity, with LCBA-IF showing slightly higher sensitivity compared to FCBA-IF. Within LCBAIF-tested groups, statistically significant differences in annualized relapse rates were observed across all pairwise comparisons (low-titer vs. moderate-titer, low-titer vs. high-titer, and moderate-titer vs. high-titer; all p<0.050). However, this association reached statistical significance in some FCBA-IF-tested groups. Conclusions Overall, there is a strong concordance between LCBA-IF and FCBA-IF in detecting AQP4-IgG, where LCBA-IF shows slightly higher sensitivity. Furthermore, there is a potential link between elevated AQP4-IgG titers and an increased risk of relapse, and this correlation may appear more pronounced when using LCBA-IF.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective: To investigate the incidence and independent risk factors of adverse events (AEs) associated with therapeutic plasma exchange (TPE) in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT), and to provide evidence to support the safe use of TPE in clinical practice. Methods: This retrospective study included 167 allo-HSCT recipients who underwent a total of 385 TPE procedures between March 2022 and December 2023. Patients were divided into two groups according to the occurrence of TPE-related AEs. Baseline characteristics, plasma exchange parameters, and clinical features were collected. Univariate analysis and multivariable Firth logistic regression were performed to identify independent risk factors for AEs. Results: A total of 385 TPE procedures were performed in 167 allo-HSCT patients, and 33 patients (19.8%) experienced TPE-related AEs. Among the 33 patients who experienced AEs, allergic reactions were the most common (n=18, 54.5%), followed by blood pressure fluctuations (n=11, 33.3%) and hypocalcemia (n=4, 12.1%). Most AEs were classified as grade II (n=23, 69.7%), and no grade IV (fatal) events were observed. Univariate analysis demonstrated a significant difference in the incidence of AEs among different hematocrit (HCT) categories (<20%, 20%-30%, and>30%) (Fisher's exact test, P=0.022). Although the overall difference was statistically significant, none of the pairwise comparisons remained significant after Bonferroni correction (adjusted P>0.0167). Multivariable Firth logistic regression identified higher HCT levels, analyzed as a continuous variable (OR=1.07, 95% CI: 1.01-1.13, P=0.020), and TPE performed for cytokine release syndrome (CRS) (OR=9.21, 95% CI: 1.25-78.00, P=0.030) as potential independent risk factors for TPE-related AEs. Receiver operating characteristic (ROC) curve analysis showed that HCT had an AUC of 0.67 (95% CI: 0.57-0.77) for predicting AEs, with an optimal cutoff value of 24.5%, a sensitivity of 60.6%, and a specificity of 75.4%. Using this cutoff, the AEs rate was significantly higher in patients with HCT≥24.5% than in those with HCT<24.5% (37.7% vs 11.4%, P<0.001). Conclusion: A-mong allo-HSCT patients receiving TPE, allergic reactions were the predominant AEs. Higher HCT levels and TPE performed for CRS may be associated with an increased risk of AEs. HCT≥24.5% may help identify patients requiring intensified monitoring, although its discriminatory ability is moderate (AUC=0.67) and it should not be used as a standalone criterion for clinical decision-making. Findings regarding the CRS subgroup require validation in larger cohorts. Optimizing extracorporeal circuit priming and strengthening peri-procedural monitoring may help improve the safety of TPE.

Objective:To explore and model risk factors in patients with major adverse cardiovascular events (MACEs) after acute type A aortic dissection (ATAAD), and to develop and validate a personalized machine learning model to assess risk factors and predict MACEs in these patients.Methods:Clinical data of patients who attended Beijing Anzhen Hospital and underwent surgical treatment for ATAAD from January 2018 to October 2022 were retrospectively analyzed. Using MACEs as the endpoint, 70% of these patients were randomly divided into the training set and the remaining 30% into the validation set. LASSO regression was applied to explore key clinical variables in the training set. The optimal predictive model was selected from nine machine learning algorithms based on area under the curve. And Shapley Additive explanations was used to elucidate the predictive model. Results:Of the 481 patients included in this study, 135 (35.6%) patients experienced an endpoint event. By combining the results of the training and validation sets, when assessing the validity of the single model with the highest predictive accuracy for the outcome, it was shown that the logistic model (0.774, 95% CI: 0.717-0.830) was the most effective in the combined effect and had a high model accuracy (0.743, 95% CI: 0.720-0.766). According to the results of the LASSO, the factors most associated with postoperative MACEs were history of cerebrovascular disease, coronary artery involvement, shock status on admission to the operating room, FDP, PLT, CPB, ascending aortic clamping, and age. Conclusion:In this study, nine machine learning models were developed to predict the occurrence of postoperative MACEs in patients with acute type A aortic dissection. The logistic model performed significantly better compared to other algorithms. Our study successfully predicted postoperative MACES and identified the factors most associated with MACEs.

Objective:To construct patient-derived xenograft (PDX) models from head and neck squamous cell carcinoma (HNSCC) patients, to explore the effect of immune reconstitution timing on the PDX modeling and immune microenvironment in humanized immune system mice (huHSC-NCG-hIL15), and to provide a reliable animal model for research on the mechanisms of head and neck squamous carcinoma and for studies on immune therapy drug interventions.Methods:This study enrolled 28 HNSCC patients (25 laryngeal carcinomas, 3 hypopharyngeal carcinomas). PDX models were established in Balb/c nude (nu) mice, NSG mice, and humanized immune system-reconstituted huHSC-NCG-hIL15 mice. Fresh HNSCC samples were transplanted into Balb/c nu and NSG mice to generate PDX models, with subsequent analysis of success-associated factors. One successfully established PDX tumor was subsequently implanted into humanized immune system-reconstituted huHSC-NCG-hIL15 mice. Tumor transplantation was performed at distinct immune reconstruction timepoints (2 vs. 7 weeks post-reconstitution), and tumor growth patterns were monitored. Flow cytometry and multiplex immunohistochemical staining were utilized to characterize immunological profiles in peripheral lymphoid organs and tumor microenvironments. Hematoxylin-eosin (HE) staining was employed to assess histomorphological concordance between primary patient tumors and PDX model tissues. Results:HNSCC PDX models were successfully established. NSG mice exhibited a higher and more stable tumor take rate compared to Balb/c nu mice (pilot study: 4/10 vs. 3/10 cases; mean take rate 60%-80% vs. 20%-60 %). The PDX success rate in NSG mice was 46.4% (13/28). In the huHSC-NCG-hIL15 mice model with immune reconstitution at 7 weeks, tumors grew significantly faster, and the PDX modeling process was shorter (617 mm3 at day 70 in 7-week cohort vs.280 mm3 in 2-week cohort). Flow cytometry analysis of the immune microenvironment showed that at 7 weeks of immune reconstitution, the proportions of B cells in the spleen and tumor tissues(2-week vs. 7-week: spleen 16.2% vs. 61.7%, tumor 26.0% vs. 38.8%) and myeloid cells in the spleen (2-week vs. 7-week: spleen 47.2% vs. 88.1 %) were significantly higher, while mice at 2 weeks post-reconstitution showed a higher proportion of T cells (2-week vs. 7-week: spleen 13.2% vs. 9.3%, tumor 4.8% vs. 2.5%). HE results demonstrated that the tumor tissues in PDX models maintained a high degree of morphological similarity to the primary tumors in both NSG and huHSC-NCG-hIL15 mouse models. Conclusion:The HNSCC PDX modeling protocol demonstrates operational feasibility and high reproducibility, establishing this model as a robust platform for mechanistic and immunotherapeutic studies.

Objective To observe value of real-time functional MRI neurofeedback(rtfMRI-NF)for modulating brain activity changes in obese adults.Methods Twenty-two obese adults were prospectively recruited,3-week rtfMRI-NF training intervention was conducted.Barratt impulsivityness scale version 11(BIS-11),three-factor eating questionnaire(TFEQ)and food rating scales were scored before and after intervention,and whole-brain resting state fMRI(rs-fMRI)data were obtained.Clinical scale scores,rs-fMRI regional homogeneity(ReHo)values and amplitude of low frequency fluctuation(ALFF)values were compared before and after intervention.Then brain regions with differences of ReHo and ALFF values before and after intervention were explored,and correlations of values of rs-fMRI data differences and clinical scale score differences were analyzed.Results BIS-11 score,TFEQ emotional eating(TFEQ-EE)score and food rating scales scores decreased,while TFEQ cognitive restraint(TFEQ-CR)scores increased in obese adults after intervention(all P＜0.05).ReHo values in right inferior frontal gyrus,right anterior cingulate and left precuneus increased,while of left middle temporal gyrus decreased(all corrected P＜0.05).ALFF values of left precuneus increased,whereas of left middle occipital gyrus,right superior occipital gyrus,left calcarine fissure and surrounding cortex and left supramarginal and angular gyrus decreased(all corrected P＜0.05).ReHo difference in right anterior cingulate was negatively correlated with BIS-11 scores difference(r=-0.601,P＜0.05),and ALFF difference in left precuneus was negatively correlated with TFEQ-EE difference(r=-0.478,P＜0.05).Conclusion rtfMRI-NF intervention could correct disorder of cerebral functional areas in obese adults and change high-calorie food preference and poor dietary habits.

Objective:To explore the effects of Qingre Qudu Decoction for fumigation combined with three-gap drainage on wound healing and serum inflammatory factors in patients with acute perianal abscess.Methods:Randomized controlled trial was conducted. A total of 117 patients with acute perianal abscess in the hospital were enrolled as the observation objects between August 2022 and May 2024. According to random number table method, they were divided into observation group (59 cases) and control group (58 cases). Both groups received three-gap drainage therapy. On basis of three-gap drainage, control group was given potassium permanganate, while observation group was given Qingre Qudu Decoction for fumigation. All patients were treated for 14 d. The growth of granulation tissue and wound secretions before and after treatment was evaluated. VAS scale was used to evaluate the degree of incision pain, and Wexner score was used to assess incontinence; ELISA was used to detect serum activator A (ACTA), immunoturbidimetry was used to detect serum CRP, and radioimmunoassay was used to detect serum IL-6 levels. The occurrence of complications and abscess recurrence during treatment was recorded, and clinical efficacy was evaluated.Results:The total effective rate of the observation group was 96.61% (57/59), while that of the control group was 82.76% (48/58), with statistical significance ( χ2=6.10, P=0.014). After treatment, scores of granulation tissue growth and wound secretions in observation group, and scores of VAS and Wexner incontinence in observation group were lower than those in the control group ( t=9.66, 5.00, 7.98, 3.65, P<0.001), and wound healing time was shorter than that in control group ( t=8.41, P<0.001). After treatment, levels of serum ACTA, CRP and IL-6 in observation group were lower than those in control group ( t=15.30, 2.08, 19.34, P<0.01 or P<0.05). The incidence of postoperative complications in the observation group was 6.78% (4/59), while in the control group it was 27.59% (16/58), with statistical significance ( χ2=8.93, P=0.003). Conclusion:Qingre Qudu Decoction for fumigation combined with three-gap drainage can relieve postoperative incision pain, inhibit inflammatory response, accelerate the recovery of wound and promote the recovery of anal function and improve clinical efficacy.

Objective To carry out a joint simulation exercise of tabletop deduction for the staff performing overseas medical services on hospital ships,so as to improve the infection prevention and control.Methods Sixty mission members were selected by convenience sampling to carry out joint simulation drills for tabletop deduction.The effects of the drills were assessed by the survey on the satisfaction and participation of mission members,before-and-after control study,and mission execution.Results Overseas medical service tasks were successfully completed through the desktop-propelled joint simulation drills.The total score of response for infectious emergencies,prevention score,preparedness score,and rescue score after training were higher than those before training(P<0.05).There were high degrees of participation and satisfaction in the drills(≥4.5 points).Conclusion The tabletop deduction and simulation exercise achieve good results in the infection prevention and control of hospital ships.The scheme of tabletop deduction combined with simulation drills will be optimized to continuously improve the infection prevention and control of hospital ships.

Objective To explore the potential effect of dapagliflozin on cardiac function and inflammatory factors in patients with heart failure with preserved ejection fraction(HFpEF)and type 2 diabetes mellitus(T2DM).Methods One hundred patients with heart failure and T2DM who were admitted to Taihe Hospital,Wannan Medical College from June 2021 to August 2023 were selected as research objects.According to the random number table,they were assigned to experimental group or control group(n=50).The control group received routine treatment,while the experimental group gave dapagliflozin apart from the routine treatment.The therapeutic effect,cardiac function,inflammatory factors,and adverse reactions were compared between the two groups.Results The experimental group had higher effective rate than the control group(96.00%vs 74.00%,P<0.05).After treatment,left ventricular ejection fraction(LVEF)increased in both groups,and LVEF in the experimental group was significantly higher than that in the control group(59.02%±4.72%vs 54.70%±4.10%,P<0.05).After treatment,left ventricular end-diastolic dimension(LVEDD),brain natriuretic peptide(BNP),interleukin 6(IL-6),procaicltonin(PCT),and C-reactive protein(CRP)were decreased in both groups,and these indexes in the experimental group was significantly lower than those in the control group([52.92±1.56]mm vs[55.70±2.19]mm,[200.63±75.73]ng/L vs[265.80±95.47]ng/L,[234.47±21.51]μg/L vs[307.51±27.81]μg/L,[6.23±2.51]μg/L vs[11.27±2.42]μg/L,[5.33±0.41]mg/L vs[6.82±0.73]mg/L,P<0.05).The incidence of adverse reactions in the experimental group was significantly lower than that in the control group(14.00%[7/50]vs 36.00%[18/50],P<0.05).Conclusion Dapagliflozin can improve cardiac function indexes and reduce inflammatory factor levels and adverse reactions in patients with HFpEF and T2DM.

According to the principle and current domestic and international construction processes of core outcome set(COS) and the characteristics of post-stroke aphasia, this study built COS with evidence-based support for traditional Chinese medicine(TCM) treatment of post-stroke aphasia. Firstly, a comprehensive review was conducted on the articles about the TCM treatment of post-stroke aphasia that were published in the four major Chinese databases, three major English databases, and three clinical registration centers over the past five years. The articles were analyzed and summarized, on the basis of which the main part of the COS for clinical research on the TCM treatment of post-stroke aphasia was formed. Secondly, clinical doctors and related nursing personnel were interviewed, and important outcome indicators in the clinical diagnosis and treatment process were supplemented to form a pool of core outcome indicators. Two rounds of Delphi surveys were carried out to score the importance of the core outcome indicators in the pool. Finally, a consensus meeting of experts was held to establish the COS for clinical research on the TCM treatment of post-stroke aphasia. The final COS included a total of 268 studies [236 randomized controlled trials(RCTs), 21 Meta-analysis, and 11 clinical registration protocols] and 20 open questionnaire survey results. After two rounds of Delphi surveys, a total of 14 outcome indicators and their corresponding measurement tools were included in the expert consensus meeting. The final expert consensus meeting determined the COS for post-stroke aphasia, which included 9 indicator domains and 12 outcome indicators.
Humans ; Aphasia/therapy* ; Stroke/complications* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Treatment Outcome