ObjectiveTo investigate the expression of serum Aldo-keto reductase family 1 member B10 （AKR1B10） in patients with hepatocellular carcinoma （HCC） in northern China， and to provide a new and valuable biomarker for the clinical diagnosis of HCC. MethodsThis study was conducted among 102 patients with HCC， 119 patients with benign liver disease， and 132 patients with other malignant tumors who attended The Affiliated Hospital of Chengde Medical University and 148 healthy individuals who underwent physical examination from May 2020 to May 2024. ELISA and chemiluminescence were used to measure the serum levels of AKR1B10 and alpha-fetoprotein （AFP）. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between three groups and further comparison between two groups； the chi-square test was used for comparison of categorical data between groups. The area under the ROC curve （AUC） was used to assess diagnostic efficiency. ResultsThe expression level of AKR1B10 was 3 053.79 （1 475.67‍ ‍—‍ ‍4 605.86） pg/mL in the HCC group， 1 324.42 （659.68‍ ‍—‍ ‍2 023.88） pg/mL in the benign liver disease group， 660.68 （377.56‍ ‍—‍ ‍2 087.77） pg/mL in the other malignant tumor group， and 318.30 （82.73‍ ‍—‍ ‍478.82） pg/mL in the healthy group， with a significant difference between the four groups （H=240.86， P<0.001）， and further comparison between two groups showed that the HCC group had a significantly higher level than the other three groups （all P<0.001）. The ROC curve analysis of the HCC group and the other three groups showed that serum AKR1B10 had an optimal cut-off value of 1 584.97 pg/mL in the diagnosis of HCC， with an AUC of 0.86 （95% confidence interval ［CI］： 0.82‍ ‍—‍ ‍0.90）， a sensitivity of 74.3%， and a specificity of 85.2%. Compared with each indicator alone， a combination of AKR1B10 and AFP could improve the sensitivity （81.8%） and specificity （91.4%） of HCC diagnosis. AKR1B10 had an AUC of 0.84 （95%CI： 0.78‍ ‍—‍ ‍0.90） in the diagnosis of patients with early- or middle-stage HCC， with a sensitivity of 76.2% and a specificity of 81.2%. AKR1B10 had an AUC of 0.85 （95%CI： 0.77‍ ‍—‍ ‍0.92） in the diagnosis of patients with AFP-negative HCC， with a sensitivity of 81.6% and a specificity of 79.9%. ConclusionAKR1B10 is a promising serological marker for the diagnosis of HCC， and a combination of AKR1B10 and AFP can improve the detection rate of HCC patients in northern China， especially those with early- or middle-stage HCC and AFP-negative HCC.

Objective To analyze the status quo and related factors of treatment compliance in elderly patients with advanced gastric cancer complicated with cancer pain. Methods Three hundred and ten elderly patients with advanced gastric cancer from January 2021 to June 2024 were selected, and their general data were collected. Hospital Anxiety and Depression Scale (HADS), Beliefs about Medicines Questionnaire (BMQ), Numerical Rating Scale (NRS) and 8-item Morisky Medication Adherence Scale (MMAS-8) were adopted to investigate the psychological status, necessity of medication belief, degree of cancer pain and treatment compliance. Univariate analysis, correlation analysis and multivariate logistic regression analysis were used to describe and analyze the treatment compliance status and related factors in elderly advanced gastric cancer with cancer pain. Results A total of 310 patients were divided into group A (good compliance, 93 cases), group B (moderate compliance ,102 cases) and group C (poor compliance , 115 cases) by means of compliance degree. There were significant differences in education level , pain duration and intensity and analgesic category (P<0.05). Treatment compliance was associated with education level, analgesic category, psychological status, medication belief and pain degree (P<0.05). The necessity of medication belief and pain duration and degree were influencing factors of treatment compliance. Conclusion The treatment compliance in advanced gastric cancer with cancer pain is poor, and can be affected by the necessity of medication belief and duration and degree of pain.

Objective:To explore the application effect of the modified sandwich teaching method based on constructivism theory in clinical teaching of neurology nursing interns.Methods:A total of 29 nursing interns who practiced in the Department of Neurology of the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital) from June 2020 to May 2021 were selected as the control group, using the conventional clinical nursing teaching method, and 28 nursing interns who practiced from June 2021 to May 2022 were selected as the observation group, using the modified sandwich teaching method based on constructivism theory. Before graduating from the Department of Neurology, nursing interns in the two groups were compared in terms of the teaching effects, such as the score of learning initiative, theoretical examination, operation examination, and nursing round report. SPSS 25.0 was used for t test and chi-square test. Results:The score for each dimension (learning driving force, learning objectives, in-depth learning, controlled learning, and solid learning) and total score in the observation group were significantly higher than those in the control group ( P<0.05). There was no significant difference between the two groups in the scores of theoretical examination and operation examination (89.11±3.58 vs. 88.97±2.74, 93.79±2.48 vs. 93.86±2.20; P>0.05); the scores of nursing rounds in the observation group were significantly higher than those in the control group (88.61±2.60 vs. 83.38±3.97, P<0.05). Conclusions:The modified sandwich teaching method based on constructivism theory can enhance the learning initiative and comprehensive analysis ability of nursing interns in the Department of Neurology. It is suitable for clinical nursing teaching in the Department of Neurology and is worth popularizing.

Objective:To investigate the value of three-dimensional (3D) T 1WI structural images using different acceleration methods including parallel acquisition technique, joint compressed sensing (uCS) technique, and artificial intelligence-assisted compressed sensing (ACS) technique for brain region segmentation. Methods:In this cross-sectional study, fifty patients (female: n=25, age range: 13 to 87 years old) at Corning Hospital of Ningbo University from July to September 2023 were prospectively and consecutively collected. All the subjects underwent brain MRI. Six groups of 3D T 1WI structural images were obtained using different acceleration technique and parameters, including 3D T 1WI without acceleration factor (3D-T 1WI group), 3D T 1WI with parallel acquisition technique with acceleration factor 3 (3D-T 1WI-PI-3 group), 3D T 1WI with uCS technique with acceleration factor 4.5 and 6.9 (3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group), 3D T 1WI by ACS technique with acceleration factors of 3 and 5 (3D-T 1WI-ACS-3 group, 3D-T 1WI-ACS-5 group). T 2WI fluid-attenuated inversion recovery (FLAIR) images were also acquired. Subjective scores (cerebral grey matter and white matter clarity scores, clarity scores of cerebral white matter degeneration lesions in relation to the surrounding white matter, and Gibbs artifact scores) and objective metrics [signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), cerebrospinal fluid signal homogeneity, peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and natural image quality evaluator (NIQE)] were used to evaluate image quality in different groups. Totally 109 brain regions were segmented and volumes were measured using the uAI Research Portal image analysis tool. Kappa or intraclass correlation coefficient ( ICC) was used to evaluate the agreement of subjective and objective evaluation indexes between the 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group, 3D-T 1WI-ACS-3 group, 3D-T 1WI-ACS-5 group, and 3D-T 1WI group. Kappa or ICC value>0.70 was considered as good agreement. Results:The acquisition time for the 3D-T 1WI group, 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group, 3D-T 1WI-ACS-3 group, and 3D-T 1WI-ACS-5 group were 527, 204, 169, 95, 133, 90 s, respectively. Subjective evaluation showed that the 3D-T 1WI-uCS-4.5, 3D-T 1WI-ACS-3, and 3D-T 1WI-ACS-5 groups had excellent agreement with the 3D-T 1WI group in terms of the distribution of cases of cerebral grey matter and white matter clarity scores, respectively (all Kappa value=1.000); The distribution of cases of clarity score of cerebral white matter lesions and surrounding white matter in the 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, and 3D-T 1WI-ACS-3 group were in good agreement with that of the 3D-T 1WI group ( Kappa values of 0.775, 0.701, and 0.777, respectively); the distribution of the number of cases of the Gibbs artifact score of the 3D-T 1WI-uCS-4.5, 3D-T 1WI-ACS-3, and 3D-T 1WI-ACS-5 groups was in good agreement with the 3D-T 1WI group (all Kappa value=1.000). Objective evaluation showed the CNR of the images in the 3D-T 1WI-PI-3, 3D-T 1WI-uCS-4.5, and 3D-T 1WI-uCS-6.9 groups were in good agreement with those of the 3D-T 1WI group ( ICC of 0.720, 0.759, and 0.752, respectively); PSNR and SSIM were in good agreement among the 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group, 3D-T 1WI-ACS-3 group, and 3D-T 1WI-ACS-5 group (PSNR: ICC=0.854; SSIM: ICC=0.851). NIQE of 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, and 3D-T 1WI-ACS-3 group images were in good agreement with the 3D-T 1WI group ( ICC value of 0.866, 0.727, 0.753, respectively). The ICC values of the volume of each segmented brain region among the 3D-T 1WI-PI-3, 3D-T 1WI-uCS-4.5, 3D-T 1WI-uCS-6.9, 3D-T 1WI-ACS-3, 3D-T 1WI-ACS-5 group and the 3D-T 1WI group images showed decreased in order (all ICC≥0.62). Conclusions:The uCS and ACS techniques used in 3D-T 1WI show high agreement with 3D-T 1WI in terms of brain segmentation. The application of these accelerating techniques can significantly shorten the acquisition time with obtaining images with good image quality, displaying great value.

0n December 31,2021,the Chinese Nursing Association released the group standard"nursing care of patients with infusion of vasoactive agents(T/CNAS 22-2021)",which outlines the fundamental requirements for intravenous infusion of vasoactive drugs and standardizes the evaluation,administration,and monitoring.This article provides an interpretation of the key parts and sections of the standard to ensure nursing safety during the administration of vasoactive drugs,aiming to reduce complications.Additionally,it serves as a crucial reference for nurses during the administration of the medication.

Objective:To explore the association between polymorphisms of transforming growth factor-β(TGF-β)signaling pathway and non-syndromic cleft lip with or without cleft palate(NSCL/P)among Asian populations,while considering gene-gene interaction and gene-environment interaction.Methods:A total of 1 038 Asian NSCL/P case-parent trios were ascertained from an international consortium,which conducted a genome-wide association study using a case-parent trio design to investigate the genes affec-ting risk to NSCL/P.After stringent quality control measures,343 single nucleotide polymorphism(SNP)spanning across 10 pivotal genes in the TGF-β signaling pathway were selected from the original genome-wide association study(GWAS)dataset for further analysis.The transmission disequilibrium test(TDT)was used to test for SNP effects.The conditional Logistic regression models were used to test for gene-gene interaction and gene-environment interaction.Environmental factors collected for the study in-cluded smoking during pregnancy,passive smoking during pregnancy,alcohol intake during pregnancy,and vitamin use during pregnancy.Due to the low rates of exposure to smoking during pregnancy and al-cohol consumption during pregnancy(＜3％),only the interaction between maternal smoking during pregnancy and multivitamin supplementation during pregnancy was analyzed.The threshold for statistical significance was rigorously set at P=1.46 × 10-4,applying Bonferroni correction to account for multiple testing.Results:A total of 23 SNPs in 4 genes yielded nominal association with NSCL/P(P＜0.05),but none of these associations was statistically significant after Bonferroni's multiple test correction.How-ever,there were 6 pairs of SNPs rs4939874(SMAD2)and rs1864615(TGFBR2),rs2796813(TGFB2)and rs2132298(TGFBR2),rs4147358(SMAD3)and rs1346907(TGFBR2),rs4939874(SMAD2)and rs1019855(TGFBR2),rs4939874(SMAD2)and rs12490466(TGFBR2),rs2009112(TGFB2)and rs4075748(TGFBR2)showed statistically significant SNP-SNP interaction(P＜1.46 × 10-4).In contrast,the analysis of gene-environment interactions did not yield any significant results after being cor-rected by multiple testing.Conclusion:The comprehensive evaluation of SNP associations and interac-tions within the TGF-β signaling pathway did not yield any direct associations with NSCL/P risk in Asian populations.However,the significant gene-gene interactions identified suggest that the genetic architec-ture influencing NSCL/P risk may involve interactions between genes within the TGF-β signaling path-way.These findings underscore the necessity for further investigations to unravel these results and further explore the underlying biological mechanisms.

Medical image is a powerful tool to assist doctors in the diagnosis and treatment planning.Nowadays,the segmentation of medical images is no longer limited to manual segmentation methods.Traditional methods and deep learning methods have been used to achieve more accurate results in medical image segmentation.Herein some innovative medical image segmentation methods in recent years are reviewed.By elaborating on the innovations of deep learning methods(SAM,SegNet,Mask R-CNN,and U-NET)and traditional methods(active contour model and threshold segmentation model),the differences and similarities between them are compared.The summary of medical image segmentation methods and the prospect is expected to help researchers better grasp and familiarize themselves with research status and development trend.

Objective: To investigate the incidence and possible risk factors of small intestinal bacterial overgrowth(SIBO) in patients with chronic kidney disease(CKD). Methods : 92 patients with CKD were selected as subjects.SIBO was assessed by lactulose hydrogen methane breath test(LHMBT),fat tissue index(FTI) was determined using multifrequency bioelectrical impedance analysis, and gastrointestinal symptoms were evaluated by gastrointestinal symptom rating scale(GSRS).According to the results of LHMBT,the patients were divided into SIBO group and non-SIBO group.The demographic data, laboratory and clinical indicators, gastrointestinal symptoms and other differences between the two groups were compared.Binomial logistic stepwise regression was used to analyze the possible risk factors of SIBO in CKD patients. Results : The incidence of SIBO in these 92 patients was 47.8%.Compared with the non-SIBO group, the GSRS score of the SIBO group was higher, and the difference was statistically significant [(23.27±3.97)vs(21.13±4.39),t=2.451,P=0.016].Multivariate stepwise logistic regression analysis showed that low serum potassium(OR=0.396,95%CI0.176-0.893,P=0.025) and high FTI(OR=1.182,95%CI1.037-1.348,P=0.013) were independent risk factors for SIBO in patients with CKD. Conclusion The incidence of SIBO is high in CKD patients.Symptoms of dyspepsia are more prominent in SIBO positive patients.Low serum potassium and high FTI are independent risk factors for SIBO in patients with CKD.

Objective:This study aimed to establish an eXtreme Gradient Boosting(XGBoost) model that can predict the recurrence of hepatocellular carcinoma(HCC)patients after laparoscopic hepatectomy (LH) surgery.Methods:A total of 440 patients with primary HCC who received LH treatment for the first time from January 2013 to September 2016 in Affiliated Hospital of Chengde Medical University were selected as the research objects. The diagnosis method was pathological diagnosis. Research objects were divided into training group ( n=88) and verification group ( n=352) at a ratio of 2∶8 by random number table method. The Kaplan-Meier method was used to draw the recurrence-free survival curve, and the Log-rank test was used to compare the survival of the two groups; the training group was used to establish the COX regression model and the XGBoost model to screen independent predictors of recurrence after LH; receiver operating characteristic(ROC) curve was used to analyze the predictive abilities of the two models, and conducted internal verification in the verification group; Hosmer and Lemeshow Test was used to evaluate the calibration of the two models, and P>0.05 was used as a good fit between the model and the actual situation. Results:Both the COX regression model and the XGBoost model screened out tumor thrombus, low degree of differentiation, tumor microvascular infiltration (MVI), number of tumors, large tumors, and positive hepatitis B surface antigen were independent predictors of tumor recurrence( HR=2.477, 0.769, 1.786, 1.905, 1.544, 1.805; 95% CI: 1.465-4.251, 0.619-0.819, 1.263-2.546, 1.354-2.704, 1.272-1.816, 1.055-2.555). The XGboost model scores were 32 points, 29 points, 24 points, 18 points, 16 points, 11 points, respectively. In the training group, the area under the curve (AUC) of the COX regression model and XGBoost model for predicting recurrence were 0.746 (0.730-0.762) and 0.802 (0.785-0.818), respectively. The XGBoost model had strong predictive ability and was confirmed in the validation cohort. Conclusions:This study had established and verified the XGBoost model that can predict the recurrence of HCC patients after receiving LH for the first time. It can be used in clinics to assist doctors in formulating personalized postoperative monitoring programs for patients. Early detection, early diagnosis and early treatment of tumors and strengthening of postoperative follow-up are important measures to improve the prognosis of patients.

Objective To study the etiology and drug resistance of escherichia coli isolated from clinic in chengde from 2016 to 2018, and to provide an objective basis for the epidemiological study and clinical rational use of antimicrobial agents. Methods The feces of 702 diarrhea patients in an outpatient clinic in chengde district from 2016 to 2018 were collected, isolated and prepared by conventional pathogen testing procedures, and the specimens suspected of escherichia coli were identified by multiple PCR and single PCR experiments. DEC was sensitized to 15 antibiotic drugs in vitro by automatic microbiological identification and drug sensitivity analyzer Vitke-2 compact. Results A total of 189 DEC strains was isolated from the feces of 702 diarrhea patients, and the detection rate was 26.92%. Among 189 DEC strains, EAEC had the highest detection rate (57.67%), followed by ETEC (32.80%), then EPEC (6.35%) and mixed (3.17%). EIEC and EHEC were not detected. The virulence genes were mainly ast A 、est Ib and esc V. All types of DEC were detected throughout the year, with the highest detection rate (29.19%) between June and August. The patients were mainly aged between 20 and 45 years old, and the detection rate was 25.86% and 27.97% for men and women. The detection of EPEC was not affected by season, sex or age, except by season and age. DEC had the highest resistance to ampicillin at 62.96%, 51.32%, 49.74% and 30.16% to cotrimoxazole, ciprofloxacin and gentamicin, and less than 20% to the other 11 drugs, all of which were sensitive to meropenem but not resistant. Among 189 DEC strains, esbl-producing strains accounted for 1.59%. Multiple resistant strains accounted for 32.80%. Conclusion DEC for chengde area of the most common bacterial pathogens in gastrointestinal tract infection, clinical laboratory should strengthen the monitoring of the region DEC, especially to carry on a variety of virulence genes, ESBL producing and multiple drug resistance strains, timely grasp the dynamics of bacterial drug resistance, and to guide clinical rational drug use, delay and reduce the generation of bacterial drug resistance.