Objective To analyze the distribution status of the end digits of standardized blood pressure measurement recordings in the clinic and the effectiveness of standardized blood pressure measurement for community hypertension screening. Methods The first visit blood pressure measurement data from the Community Health Service Center in Jing'an District, Shanghai from June 2023 to May 2024 were collected and analyzed. According to different measurement methods, the data were divided into two groups: standardized blood pressure measurement and conventional blood pressure measurement. SPSS 19.0 software was used for data analysis. The differences in the distribution balance of the end digits of blood pressure values and the detection rate of blood pressure elevation between the two different groups were analyzed. Results The frequency range of the end digits of blood pressure recorded values in the standardized pressure measurement group was 9.42% to 10.83%, and the detection rate of elevated blood pressure was 24.89%. The conventional pressure measurement group had a preference of the end digit ^"0^", and the detection rate of elevated blood pressure was only 2.12%. The results of multiple logistic regression analysis showed that gender, age, season, and different blood pressure measurement modes were all influencing factors for the detection rate of elevated blood pressure. Conclusion The standardized blood pressure measurement mode in the clinic is suitable for community hypertension screening and pressure measurement, with higher data quality than the conventional pressure measurement mode.

Objective To establish a stable and reliable sepsis model of rat after liver transplantation (LT) for clinical translational research and analyze its characteristics. Methods The "two-sleeve method" was used to establish the in situ LT model of SD rats, and the sepsis model was constructed through cecal ligation and puncture (CLP) at 3 d after the operation. SD rats were randomly divided into 3 groups: sham operation group (Sham group), LT group, and LT + CLP group, with 6 rats in each group. The changes in body weight, rectal temperature and survival rate were compared, and the sepsis score was used for evaluation. The levels of blood biochemical indicators [alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea (Urea), creatinine (Cr), creatine kinase (CK), lactate dehydrogenase (LDH)] and inflammatory factors [interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor (TNF)-α] in each group were detected, and the pathological changes and cell apoptosis in different organs were observed. Results Compared with the Sham group, the body weight of the LT group and LT + CLP group decreased (all P<0.05). The rectal temperature of the LT + CLP group showed a continuous downward trend after the operation, the sepsis score increased sharply after the operation, and the survival rate dropped to 16.7%, and the differences between the Sham group, LT group and LT + CLP group were statistically significant (all P<0.05). The levels of ALT, AST, Urea, Cr, CK, LDH, and serum IL-1β, IL-6, IL-10 and TNF-α in the LT + CLP group were higher than those in the Sham group and LT group rats within 72 hours after the operation(all P<0.05). The pathological examination of the LT + CLP group showed severe tissue structure destruction, necrosis and infiltration of inflammatory cells in multiple organs, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining showed an increased level of cell apoptosis in multiple organs. Conclusions Using liver transplantation combined with CLP, a stable animal model of liver transplantation infection is successfully established, which exhibits a high mortality rate, significant multi-organ damage and intense inflammatory response, providing an ideal animal model for transplantation infection research.

Background The contamination of public baths with Legionella pneumophila contamination has become a growing public health concern in recent years. However, research on its association with bacterial community characteristics in water samples remains limited. The integration of 16S rRNA sequencing and random forest modeling provides a new approach to elucidate the bacterial community characteristics of public bath water and their association with Legionella pneumophila contamination. Objective To investigate the bacterial community structure and diversity of public bath water in Shanghai, explore the association between Legionella pneumophila contamination and bacterial community characteristics, and identify key bacterial genera associated with contamination, thereby providing a scientific basis for formulating hygiene management regulations for public bath water. Methods From February to March 2023, water samples were collected from ten public baths in Shanghai which were selected based on business scale, regional distribution, and functional differences. Water quality parameters were evaluated, and the samples were categorized into Legionella-positive and Legionella-negative groups based on the detection results of Legionella pneumophila. The bacterial community structure, α-diversity, and β-diversity were analyzed using 16S rRNA sequencing. Redundancy analysis (RDA) was employed to examine the relationship between physicochemical factors and bacterial community diversity. A random forest model was employed to identify key bacterial genera distinguishing the two groups, with the importance of genera being evaluated based on the mean decrease accuracy (MDA). Results The oxygen consumption in the Legionella-positive group was significantly lower than that in the Legionella-negative group (mean values: 1.85 mg·L⁻¹ vs. 6.81 mg·L⁻¹, P< 0.05), while no significant differences were observed in other physicochemical indicators. The sequencing results revealed a total of 27 bacterial phyla and 454 bacterial genera, with Proteobacteria (63.00%) being the dominant phylum. The dominant genera included Pelomonas (8.50%), Acidovorax (8.13%), Mycobacterium (7.93%), and Acinetobacter (6.59%). The α-diversity analysis indicated that bacterial community richness (Chao1 and ACE indices) was significantly higher in the Legionella-positive group than in the Legionella-negative group (P<0.01). The β-diversity analysis showed no significant difference in the bacterial community structure between the two groups (P>0.05). The RDA analysis demonstrated that the bacterial community diversity was positively correlated with pH and negatively correlated with oxygen consumption and free residual chlorine. The RDA1 and RDA2 explained 23.92% and 21.30% of the bacterial community diversity, respectively. The random forest model identified 20 key genera significantly influencing the microbial community distribution between the two groups, including unclassified_Bradyrhizobiaceae (MDA=2.42), Meiothermus (MDA=2.37), and Flavihumibacter (MDA=2.26). Conclusion The diversity of bacterial communities in public bath water is influenced by pH, oxygen consumption, and free residual chlorine. Samples contaminated with Legionella pneumophila exhibit greater microbial richness and contain characteristic key bacterial genera that contribute to community differences. Machine learning random forest technology helps identify these distinctive key bacterial genera. The findings provide a basis for carrying out risk early warning strategies in such settings.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

Objective To explore the clinical efficacy of single-port laparoscopy combined with gonado-tropin-releasing hormone agonist(GnRH agonist)in the treatment of deep infiltrating endometriosis and its influence on serum circATRNL1 levels,and analyze its predictive value for patient prognosis.Methods 220 patients with deep infiltrating endometriosis from June 2021 to October 2023 were enrolled as study subjects and divided into an experimental group(n=110)and a control group(n=110)according to different surgical methods.The experimental group received single-port laparoscopy surgery combined with GnRH agonist treatment,while the control group only received single-port laparoscopy surgery.The changes in circATRNL1 expression level before and after treatment between the two groups were compared,the short-term efficacy and long-term prognosis of the two groups were evaluated.Spearman correlation analysis was conducted to explore the relationship between circATRNL1 expression levels after treatment and long-term prognosis.All patients were regrouped based on whether they relapsed during follow-up into a relapse group(n=42)and a non-relapse group(n=178).The circATRNL1 levels before and after treatment were compared between the two groups,and the predictive value of circATRNL1 expression levels after treatment for long-term relapse after treatment in patients with endometriosis was analyzed using a receiver operating characteristic curve(ROC curve).Results After treatment,the serum circATRNL1 levels in the experimental group was significantly lower than that in the control group,the difference was statistically significant(P<0.05).The postoperative pain VAS score of the experimental group was significantly lower than that of the control group,and the quality of life was significantly better than that of the control group,the recurrence rate was significantly lower than that of the control group,and the differences were statistically significant(P<0.05).The pregnancy rate of the experimental group was higher than that of the control group,and the postoperative dysmenorrhea rate was lower than that of the control group,but the differences were not statistically significant(P>0.05).Spearman correlation analysis showed that circATRNL1 expression levels after treatment was positively correlated with relapse among long-term prognosis indicators(r=0.290,P<0.05),but had no significant correlation with pregnancy rate(r=0.060,P>0.05).Compared to patients in the non-relapse group,the relapse group had significantly higher serum circATRNL1 expression levels after treatment,the difference was statistically significant(P<0.05).ROC curve analysis showed that the area under the curve(AUC)for serum circATRNL1 expression levels in predicting long-term postoperative relapse in patients with endometriosis after treatment was 0.746,with a sensitivity of 64.29%and a specificity of 82.02%,indicating good predictive value.Conclusion The treatment regimen combining single-port laparoscopy with GnRH agonist can significantly reduce patients'pain levels,improve their quality of life,and decrease the recurrence rate.Furthermore,this combined therapy also notably decreases serum circATRNL1 levels.The serum circATRNL1 expression levels have good predictive value for the long-term recurrence of deep-infiltrating endometriosis patients post-surgery.

Objective To analyze the application effect of size-specific dose estimate(SSDE)in radiation dose and images quality of coronary CT angiography(CCTA).Methods A retrospective study was conducted on 56 patients undergoing CCTA at the First Affiliated Hospital of Chongqing Medical University between February 2022 and February 2025.These patients were assigned to observation group(SSDE injection),while another 56 patients undergoing CCTA during the same period were enrolled as routine group(traditional injection).The two groups were compared for coronary enhancement value,images quality score,objective parameters of images quality[image noise,CT value,contrast to noise ratio(CNR),signal to noise ratio(SNR)],radiation dose parameters[dose-length product(DLP),CT dose index volume(CTDIvol),effective dose(ED)],anteroposterior diameter,left-right diameter and fsize.Results The CCTA image quality score and coronary enhancement value in observation group were significantly higher than those in routine group(P<0.05).Compared with routine group,observation group had higher CT value,CNR,and SNR,as well as lower image noise(P<0.05).The CTDIvol,ED,DLP and SSDE of observation group were lower than those of routine group(P<0.05).The?size in observation group was smaller,while anteroposterior diameter and left-right diameter were longer than those in routine group(P<0.05).Conclusion The application of SSED protocol in CCTA scanning can effectively improve radiation dose and images quality.

Objective To investigate the effects of patient bone mass differences on the stability of unicondylar knee arthroplasty(UKA)prostheses.Methods A UKA finite element model was established to quantify the effects of five different bone quality conditions on the proximal tibial von Mises stress,bone-prosthesis fixation interface contact stress,and bone-prosthesis fixation interface micromotion,using the medial knee force and joint motion predicted by the individualized UKA musculoskeletal multibody dynamics model as boundary conditions.Results The influences of bone strength on the proximal tibia von Mises stress and bone-prosthesis fixation interface contact stress were not obvious,and the difference in peak values of the proximal tibia von Mises stress between two groups of models with the largest difference in bone strength was not more than 5％,and the difference in peak values of the bone-prosthesis fixation interface contact stress was only 2.37 MPa.However,the influence of bone strength on the bone-prosthesis fixation interface micromotion was significant,and the weaker bones were more prone to cause the bone-prosthesis fixation interface micromotion.However,bone strength had a significant effect on the bone-prosthesis fixation interface micromotion,and weak bone was more likely to cause changes in the bone-prosthesis fixation interface micromotion.Compared to patients with the neutral bone quality,the prosthesis fixation interface micromotion increased by 84.67％at 20％gait cycles for patients with the weakest bone quality.Conclusions UKA patients with a weaker bone quality have a higher risk of prosthesis loosening.It is recommended that surgeons should carefully choose their surgical strategy in order to reduce the rate of postoperative revision in UKA.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.

This article reports the first case of percutaneous closure of patent foramen ovale(PFO)using a biodegradable occluder under echocardiography guidance.The patient is a 43-year-old female diagnosed with PFO-related stroke.The procedure was successfully completed under echocardiography guidance without complications.During the 48-month follow-up period,the patient experienced no recurrent strokes,and the occluder was fully degraded.

Although fertility-preserving treatment strategies have demonstrated significant clinical efficacy in patients with early-stage endometrial cancer(EC)and atypical endometrial hyperplasia(AEH),some patients who experience recurrence still express a strong desire for fertility and request conservative retreatment.This poses new challenges for clinical management.This article reviews the latest research advances in retreatment for recurrent patients and synthesizes findings from previous studies to draw the following conclusions.First,before formulating a retreatment plan,it is crucial to comprehensively evaluate key factors such as tumor characteristics,fertility intentions,and overall health status of the patient.These factors collectively determine the feasibility and appropri-ateness of an individualized retreatment strategy.Second,studies have shown that retreatment options for AEH/EC are diverse,with high-dose oral progestin remaining the primary approach.Combining progestin with metformin,GnRH-a,and hysteroscopic resection can enhance treatment outcomes.Individualized treatment plans should be tailored to the specific conditions of each patient.Based on literature analysis,the complete remission(CR)rate of retreatment ranges from 81.1%to 88.6%,with a pregnancy rate of 26.5%-50.0%and a live birth rate of 14.3%-29.0%.However,the recurrence rate remains high at 24.5%-45.5%,significantly higher than that of initial treatment.This indicates that while retreatment has achieved some success in disease control and fertility preservation,the risk of recurrence still requires significant attention.Therefore,a strict monitoring and follow-up system must be established during retreatment.Additionally,studies have identified factors associated with a higher risk of recurrence,including age over 35,overweight or obesity,polycystic ovarian syndrome,metabolic syndrome,high pathological grade,and advanced clinical stage.On the other hand,pregnancy following CR,weight loss,and maintenance therapy serve as protective factors against disease recurrence.Patients are encouraged to actively engage in weight management during treatment and consider initiating assisted reproductive technology promptly after achieving CR to optimize pregnancy outcomes while minimizing the risk of recurrence.Future research should prioritize investigating precision treatment strategies informed by molecular classification and identifying predictive biomarkers,thereby enabling the development of more personalized and precise treatment plans tailored to indi-vidual patients.