Background/Aims: Nocturnal acid reflux disrupts sleep and impairs quality of life. Proton pump inhibitors provide insufficient suppression of nocturnal acid secretion, whereas fexuprazan offers prolonged acid suppression. We compared the efficacy of fexuprazan and esomeprazole in controlling nocturnal reflux. Methods: In a randomized and crossover study, patients received fexuprazan or esomeprazole daily for 4 weeks, followed by a washout and crossover to the alternate medication for another 4 weeks, with a final washout completing the sequence. Severity (scores 0-10), frequency, sleep disturbance, and medication preferences were evaluated. Results: Thirty-nine patients were enrolled and randomized to receive either fexuprazan (n = 20) or esomeprazole (n = 19) first. After the first treatment, fexuprazan reduced severity from 7.5 ± 1.7 to 1.4 ± 1.7 (81.3% decrease), versus 7.8 ± 1.5 to 2.8 ± 1.9 (64.1% decrease) with esomeprazole (P = 0.012). In patients with severe symptoms (scores ≥ 7), fexuprazan led to significantly greater improvement than esomeprazole (P = 0.008). Following the first washout, the second crossover treatment resulted in greater improvement in symptom severity with fexuprazan (P = 0.001). During the second washout, nocturnal symptoms severity and frequencies were better controlled with fexuprazan than with esomeprazole (P = 0.005 and 0.019). Patients who switched from esomeprazole to fexuprazan preferred fexuprazan (P = 0.018). Conclusions Fexuprazan was more effective than esomeprazole in controlling nocturnal reflux symptom, particularly in patients with severe symptoms. Fexuprazan may offer a therapeutic advantage for patients with severe and persistent nocturnal reflux despite proton pump inhibitor therapy.

Purpose: The study was designed to evaluate the combined therapeutic effect of topical 2% rebamipide and 0.5% carboxymethylcellulose sodium (CMC) for managing dry eye following cataract surgery compared with 2% rebamipide monotherapy. Methods: We retrospectively analyzed medical records of patients who underwent cataract surgery and were diagnosed with dry eye one week postoperatively. Among these, patients who received combined therapy with 2% rebamipide and 0.5% carboxymethylcellulose (CMC) eye drops (combined therapy group), or 2% rebamipide alone (monotherapy group), for at least two months were included. Clinical data were collected at one and two months after surgery, including Schirmer’s test, tear break-up time (TBUT), ocular surface staining scores, tear film osmolarity, tear lipid layer thickness, and Ocular Surface Disease Index (OSDI) scores. Results: In the combined therapy group, we observed a significant improvement in Schirmer’s test, TBUT, and ocular surface staining scores at both one and two months post-surgery compared to baseline (1 month: p < 0.001, < 0.001, 0.005; 2 months: p < 0.001, respectively). OSDI remained unchanged throughout the entire follow-up period. The combined therapy group exhibited significantly longer Schirmer’s test results (p < 0.001, 0.003), longer TBUT (p = 0.022 at 1 month), and a lower ocular surface staining score (p < 0.001, respectively) compared to the monotherapy group. Conclusions Following cataract surgery, the combined use of rebamipide and CMC eye drops resulted in improvements in Schirmer’s test, TBUT, and ocular surface staining scores. This suggests that combination therapy may be a promising option for patients who do not achieve adequate relief with rebamipide eyedrops.

Polymyxin serves as the"last line of defense"for treating infection with multidrug-resistant Gram-ne-gative bacteria.However,the emergence and spread of polymyxin-resistant genes such as mcr-1 severely weakens its clinical efficacy.This paper systematically summarizes the antimicrobial and resistance mechanisms of polymy-xin,comprehensively summarizes the current research progresses in polymyxin sensitizers particular focusing on three aspects:natural compounds,synthetic small molecules,and drug repurposing.Furthermore,this paper explores the innovative strategies of gene intervention,new targets,and nanotechnology-based formulations in the develop-ment of sensitizer,aiming to provide systematic theoretical support and research ideas against polymyxin resistance.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

Objective:To construct and validate a predictive model for pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy.Methods:This retrospective observational study included 595 patients with stage T2-4 and (or) N+M0 LARC diagnosed in the Cancer Hospital of Chinese Academy of Medical Sciences and the Fourth Hospital of Hebei Medical University who had no metastases, tolerated neoadjuvant therapy, completed neoadjuvant therapy, and had undergone radical surgery after neoadjuvant therapy. The training set comprised 299 patients admitted to the Cancer Hospital of Chinese Academy of Medical Sciences from 2013 to 2018, the internal validation set 155 patients admitted from 2019 to 2023, and the external validation set 141 patients admitted to the Fourth Hospital of Hebei Medical University from 2013 to 2021. They were divided into pCR group and non-pCR groups according to postoperative pathology. Among the 299 patients in the training set, 247 were in the non-PCR and 52 in the pCR group; among the 155 patients verified internally, 113 were in the non-PCR and 42 in the pCR group; and among the 141 patients validated externally, 132 were in the non-pCR and nine in the pCR group. Logistic regression was used for univariate and multifactorial analysis to explore the factors associated with pCR and construct a nomogram prediction model. Receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA) were used to validate the performance of the predictive model.Results:Univariate and multivariate logistic regression analysis showed that carbohydrate antigen 19-9 ( P=0.040, OR=0.97, 95%CI: 0.93-0.99), neutrophil count ( P<0.001, OR=0.66, 95%CI: 0.52-0.84), tumor T stage: Stage IV ( P=0.011, OR=0.22, 95%CI: 0.07-0.70), tumor N stage: Stage I ( P=0.003, OR=0.22,95%CI:0.08-0.60), Stage II ( P<0.001, OR=0.03, 95%CI: 0.01-0.09) and involvement of mesorectal fascia ( P=0.004, OR=0.09, 95%CI: 0.02-0.47) were independent predictors of pCR. In the training set, the area under the receiver operating characteristic curve of the model was 0.92 (95%CI: 0.87-0.96), whereas in the internal and external validation sets, the AUCs were 0.78 and 0.81, respectively. The calibration curve showed that the prediction model had good prediction efficiency in both the training and verification sets. Decision curve analysis showed that the net benefit of the model was largest when the threshold probability was in the range of 5.2% to 89.7% (in the internal and external validation sets, the threshold probabilities were in the range of 15.7% to 92.3% and 2.2% to 84.1%, respectively). Conclusion:The nomogram model constructed in this study showed efficacy in predicting whether patients with LARC will achieve pCR after receiving neoadjuvant chemoradiotherapy.

Polymyxin serves as the"last line of defense"for treating infection with multidrug-resistant Gram-ne-gative bacteria.However,the emergence and spread of polymyxin-resistant genes such as mcr-1 severely weakens its clinical efficacy.This paper systematically summarizes the antimicrobial and resistance mechanisms of polymy-xin,comprehensively summarizes the current research progresses in polymyxin sensitizers particular focusing on three aspects:natural compounds,synthetic small molecules,and drug repurposing.Furthermore,this paper explores the innovative strategies of gene intervention,new targets,and nanotechnology-based formulations in the develop-ment of sensitizer,aiming to provide systematic theoretical support and research ideas against polymyxin resistance.

and Relevance: This case is the first instance of using tracheal stenting to effectively manage tracheal stenosis in a cat, successfully resolving a respiratory emergency, and ensuring long-term care.

Neuronal intranuclear inclusion disease (NIID) is a rare neurodegenerative disorder characterized by the presence of eosinophilic nuclear inclusions in neurons and somatic cells. It clinically manifests as cognitive decline, seizures, and autonomic dysfunction. A 44-year-old man presented with a transient visual field defect and hemiparesis. Based on characteristic imaging findings and pathological findings, NIID was suspected and diagnosed through genetic testing. This case emphasizes the importance of comprehensive clinical phenotype analysis and accurate genetic diagnosis.

Objective To investigate the growth, development and health status of primary and secondary school students in Xinzhou District of Wuhan, and analyze the detection and change trend of common diseases in primary and secondary school students, and to provide a basis for relevant departments to formulate prevention and control measures of common diseases in students. Methods The monitoring data of common diseases and health influencing factors of primary and secondary school students in Xinzhou District from 2019 to 2022 were analyzed and compared according to different genders, different grades and ages. SPSS 20.0 software was used to analyze the data of detection rates of myopia, dental caries, obesity, malnutrition and abnormal spinal curvature. Results The overall detection rates of myopia, dental caries, malnutrition, obesity and abnormal spinal curvature were 57.00%, 58.45%, 4.60%, 14.91%, and 6.33%, respectively, in Xinzhou District from 2019 to 2022. The annual change rates were 7.22%, 15.10%, -2.72%, 13.29%, and 4.91%, respectively. The detection rates of myopia, dental caries, obesity and abnormal spinal curvature showed an increasing trend in each year (χ² ≥17.22, P<0.001). The detection rates of myopia and malnutrition increased with the increase of age and school level (both χ²≥42.37, P<0.001), while the opposite was true for the detection rates of dental caries and obesity (both χ²≥14.26, P<0.001). The detection rates of myopia and dental caries were higher in girls than in boys (both χ²≥33.66, P<0.001), while the detection rates of obesity and abnormal spinal curvature were higher in boys than in girls (both χ²≥8.22, P<0.005). The detection rates of myopia, dental caries, obesity and abnormal spinal curvature in 2019 were lower than those in 2020-2022 (χ²≥4.11, P<0.05), while the detection rates of malnutrition had decreased. Conclusion The growth, development and health status of primary and secondary school students in Xinzhou District are serious. The detection rate of common diseases such as myopia, dental caries, obesity and abnormal curvature of the spine is on the rise, which should be the focus of the surveillance work of common diseases in primary and secondary school students in the future, and comprehensive intervention measures are urgently needed to prevent and control these common diseases.