Objective To analyze the short-term clinical outcomes of emergency conversion to surgery during transcatheter aortic valve replacement (TAVR). Methods Clinical data of patients who underwent emergency surgical conversion from TAVR in the Department of Cardiovascular Surgery, the Second Hospital of Hebei Medical University, from 2018 to 2023 were collected. Postoperative follow-up results at 1 month were recorded. Results A total of 253 patients underwent TAVR, of whom 11 (4.3%) required emergency conversion to surgery. Among these 11 patients, 7 were male and 4 were female, with a mean age of (69.55±5.01) years. The primary cause for emergency surgical conversion was valve stent displacement (63.6%), followed by left ventricular perforation/rupture (18.2%) and significant perivalvular regurgitation persisting after a second valve implantation (18.2%). One (9.1%) patient died intraoperatively. Among the 10 surviving patients, postoperative complications included pulmonary infection in 8 patients, severe pneumonia in 7, pleural effusion in 3, liver dysfunction in 8, renal dysfunction in 3, upper gastrointestinal bleeding in 5, cerebrovascular complications in 1, atrial fibrillation in 1, ventricular premature contractions in 1, atrioventricular block in 1, and complete left bundle branch block in 3. At 1-month postoperative follow-up, one additional patient died, yielding a 30-day mortality rate of 18.2% after TAVR emergency surgical conversion. The quality of life improved significantly compared to preoperative status in 9 (81.8%) patients, and no patients were readmitted for cardiovascular diseases. Conclusion The incidence of emergency conversion to surgery during TAVR is low, but the rates of surgical complications and 30-day postoperative mortality are high. Nevertheless, when severe complications occur during TAVR, emergency conversion to surgery can still yield satisfactory short-term clinical outcomes for a majority of these patients.

BACKGROUND:Previous literature reported that the fusion cage moved more than 2 mm from its original position,which means that the fusion cage moved backward.At present,clinical observation has found that the factors leading to the displacement of the fusion cage are complex,and the relationship between these factors and the cage retropulsion is not clear. OBJECTIVE:To explore the risk factors related to cage retropulsion after lumbar interbody fusion. METHODS:Retrospective analysis was conducted in 200 patients who underwent transforaminal lumbar interbody fusion surgery with a polyetheretherketone interbody fusion from February 2020 to February 2022.According to the distance from the posterior edge of the vertebral fusion cage to the posterior edge of the vertebral body after the operation(the second day after the removal of the drainage tube)and 1,3,6 and 12 months after the operation,patients were divided into cage retropulsion group(≥2 mm)and cage non-retropulsion group(<2 mm).The factors that may affect cage retropulsion,such as age,gender,body mass index,bone mineral density,operation time,bleeding,endplate injury,preoperative and postoperative interbody height,cage implantation depth,cage size,and segmental anterior convexity angle,were analyzed by univariate and logistic regression analysis. RESULTS AND CONCLUSION:(1)Posterior displacement of the fusion cage occurred in 15 cases(15/200).The differences in basic information such as age and body mass index between the two groups were not statistically significant.(2)The results of the univariate analysis were that gap height difference,time to wear a brace,segmental anterior convexity angle difference,bone mineral density,and age were related to posterior migration of the cage.(3)The results of logistic regression analysis were that cage size,endplate injury condition,and depth of cage implantation were risk factors for cage retropulsion.(4)These findings suggest that cage retropulsion after lumbar interbody fusion is caused by multiple factors,including segmental anterior convexity angle difference,bone mineral density,cage size,endplate damage,time to wear a brace,and depth of cage implantation.

Objective To evaluate the relationship between diabetic nephropathy(DN)and diabetic retinopathy(DR)in patients with type 2 diabetes mellitus(T2DM)based on imaging and clinical testing data.Methods Totally 600 T2DM patients who visited the First People's Hospital of Ziyang from March 2021 to December 2022 were included.The fundus photography and fundus fluorescein angiography were performed on all these patients and their age,gender,T2DM duration,cardiovascular diseases,cerebrovascular disease,hypertension,smoking history,drinking history,body mass in-dex,systolic blood pressure,diastolic blood pressure and other clinical data were collected.The levels of fasting blood glu-cose(FPG),triglyceride(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),low-density lipo-protein cholesterol(LDL-C),glycosylated hemoglobin(HbA1c),24 h urinary albumin(UAlb),urinary albumin to creati-nine ratio(ACR),serum creatinine(Scr)and blood urea nitrogen(BUN)were measured.Logistic regression was used to analyze the risk factors associated with DR.DR staging was performed according to fundus images,and the convolutional neural network(CNN)algorithm was used as an image analysis method to explore the correlation between DR and DN based on emission computed tomography(ECT)and clinical testing data.Results The average lesion area rates of DR and DN detected by the CNN in the non-DR,mild-non-proliferative DR(NPDR),moderate-NPDR,severe-NPDR and pro-liferative DR(PDR)groups were higher than those obtained by the traditional algorithm(TCM).As DR worsened,the Scr,BUN,24 h UAlb and ACR gradually increased.Besides,the incidence of DN in the non-DR,mild-NPDR,moderate-NPDR,severe-NPDR and PDR groups was 1.67％,8.83％,16.16％,22.16％and 30.83％,respectively.Logistic regression analysis showed that the duration of T2DM,smoking history,HbA1c,TC,TG,HDL-C,LDL-C,24 h UAlb,Scr,BUN,ACR and glomerular filtration rate(GFR)were independent risk factors for DR.Renal dynamic ECT analysis demonstrated that with the aggravation of DR,renal blood flow perfusion gradually decreased,resulting in diminished renal filtration.Conclusion The application of CCN in the early stage DR and DN image analysis of T2DM patients will improve the diag-nosis accuracy of DR and DN lesion area.The DN is worsening as the aggravation of DR.

【Objective】 To explore the influence of maternal blood donation before pregnancy on neonatal birth weight. 【Methods】 A total of 6 428 full-term (gestational age ≥37 weeks) singleton pregnant women in Ningbo Medical Center Lihuili Hospital and Ningbo Women and Children′s Hospital from January 2020 to October 2020 were enrolled in this study. The cumulative whole blood donations before pregnancy were obtained through Alipay software. The relevant data of parturients and their fetuses were collected from electronic medical records. 【Results】 The maternal blood donation rate in Zhejiang Province before pregnancy was 14.69%. The average age of women was 29 (27-32), and the median of cumulative blood donation (except 0 mL) before pregnancy was 300 mL. Univariate analysis showed that there was no significant difference in neonatal gender, neonatal birth weight, proportion of low birth weight infants and proportion of macrosomia among non blood donation group, low blood donation group and high blood donation group (P>0.05). After multiple linear regression analysis, it was found that there was no correlation between blood donation before pregnancy and the neonatal birth weight (B=0.123, 95%CI: -1.013-8.461, P>0.05). Multivariate Logistic regression analysis showed that, compared with the non blood donation group, the occurrence of macrosomia was higher in both the low blood donation group and the total blood donation group (OR=1.366, 95%CI: 1.007-1.766, P<0.05; OR=1.369, 95%CI: 1.019-1.851, P<0.05). 【Conclusion】 Maternal blood donation before pregnancy may not be related to neonatal birth weight, but may be related to the probability of macrosomia in their offspring.

Objective:To explore the value of radiomics model based on intratumoral and peritumoral early dynamic contrast-enhanced (DCE) MRI for identifying benign and malignant in breast imaging reporting and data system (BI-RADS) 4 tumors.Methods:A total of 191 patients diagnosed with BI-RADS 4 breast tumors by breast MRI examination with clear pathological diagnosis from January 2016 to December 2020 in the First Affiliated Hospital of Bengbu Medical College were analyzed retrospectively, including 77 benign and 114 malignant cases, aged 23-68 (46±10) years. The one-slice image with the largest area of the lesion of the second stage DCE-MRI images was selected to outline the region of interest, and automatically conformal extrapolated by 5 mm to extract the intra-tumoral and peritumoral radiomics features. The included cases were randomly divided into training and testing cohorts in the ratio of 8∶2. The statistical and machine learning methods were used for feature dimensionality reduction and selection of optimal radiomics features, and logistic regression was used as the classifier to establish the intratumoral, peritumoral, and intratumoral combined with peritumoral radiomics models. The independent risk factors that could predict the benignity and malignancy of breast tumors were retained as clinical-radiological characteristics by univariate and multivariate logistic regression to establish a clinical-radiological model. Finally, the intratumoral and peritumoral radiomics features were combined with clinical-radiological features to develop a combined model of the three. The receiver operating curve was used to analyze the predictive performance of each model and calculate the area under the curve (AUC),the AUC was compared by DeLong test. The stability of the three-component combined diagnostic model was tested by 10-fold cross-validation, and the model was visualized by plotting nomogram and calibration curves.Results:In the training cohort, the AUC of the three-component combined model for identifying benign and malignant BI-RADS 4 breast tumors was significantly higher than that of the intratumoral radiomics model ( Z=3.38, P<0.001), the peritumoral radiomics model ( Z=4.01, P<0.001), the intratumoral combined with peritumoral radiomics model ( Z=3.11, P=0.002), and the clinical-radiological model ( Z=3.24, P=0.001). And the AUC, sensitivity, specificity, accuracy, and F1-score of the three-component combined model were 0.932, 91.2%, 86.9%, 87.0% and 0.89, respectively. In the testing cohort, the three-component combined model also had the highest AUC value (0.875), and diagnostic sensitivity, specificity, accuracy and malignancy F1-score were 95.7%, 62.5%, 76.9%, and 0.89, respectively. The AUC calculated by 10-fold cross-validation was 0.90 (0.85-0.92), and the predicted curve of the three-component combined model in the calibration curve was in good agreement with the ideal curve. Conclusion:The three-component combined diagnostic model based on the intratumoral and peritumoral radiomics features and clinical-radiological features of early DCE-MRI has good performance and stability for identifying the benign and malignant in BI-RADS 4 breast tumors, and it can provide guidance for clinical decision non-invasively.

Based on ASP.NET framework, The Intelligent Estimated System for Rational Deployment of Medical Equipment (MERDIS) is designed and developed with SQL Server 2012 database and C# language. The system is used to realize the rational deployment suggestions and evaluation of medical equipment in hospitals. The system input the data of hospital medical equipment and clinical pathway into the database, and then feedback the deployment information to users which are calculated by big data information, so as to achieve the purpose of giving rational deployment of hospital medical equipment.
Databases, Factual ; Equipment Design ; Hospitals

Objective To design and develop intelligent rehabilitation equipment for administering continuous passive motion (CPM) of a rabbit's knee joint after tibial plateau fracture.Methods The equipment constructed had three main parts:the core machinery,electronic control and a control program designed based on bionics principles.Twenty six-month-old New Zealand White male rabbits were randomly divided into sedentary (SED) and CPM groups after their knees had been fractured.The rabbits in the CPM group were given 30 min of early joint rehabilitation once a day for 4 weeks using the CPM equipment,while those in the SED group were kept in their cages and allowed free activity without any special exercise program.The body weight,range of motion and swelling of the affected knee joint were measured before the fracture and on the 3rd,7th,14th,21st and 28th days after the fracture.On the 28th day after the fracture the pathological structure of the articular cartilage on the operative side was observed under a light microscope.Results The equipment ran safely and reliably,and drove the rabbits to move synchronously.It could accurately and conveniently adjust the knee flexion angle,movement speed and movement time.The intelligence of the equipment met the experimental requirements.On the 3rd day after the operation the average range of motion in the joints of both groups had changed significantly compared to that before the fracture.On the 28th day after the fracture the average degree of swelling and range of motion in the CPM group were significantly different from those of the SED group.On the 28th day,deformity and the smoothness of the fracture line in the CPM group were superior to those in the SED group.Moreover,the dominant tissues in the defect area of the CPM group were mainly hyaline cartilage while those in the SED group were mainly repair fibrocartilage.The defect area and its adjacent articular cartilages,chondrocyte regeneration and arrangement,layers of cells and subchondral tidal line recovery of the CPM group were better than in the SED group on average.Conclusion The equipment for knee joint manipulation is convenient to use,reliable and effective for the early rehabilitation of tibial plateau fracture,at least in rabbits.It promotes remodeling of the fracture and cartilage repair after tibial plateau fracture,and also improves range of motion in the knee and reduces swelling.

Objective The purpose of this study was to examine the predictive value of elevated cardiac troponin I (cTnI) and Score for the Targeting of Atrial Fibrillation (STAF) in the diagnosis of cardiogenic cerebral infarction. Methods Two hundred twenty-three patients with acute ischemic stroke were recruited in the study including 38 patients in cardiogenic cerebral infarction (CCI) group and 185 in non-cardiac cerebral infarction (NCCI) group. Clinical data were collected. Chemiluminescence immunoassay was used to detect serum cTnI concentrations in patients and STAF scores were calculated. The clinical baseline data of the two groups were compared. A receiver operating characteristic (ROC) curve was used to determine the boundary value of cTnI and STAF scores in diagnosing CCI and in analyzing their predictive value. Results In the CCI group, the patients were older with higher frequency in atrial fibrillation and ischemic heart disease. Moreover, the NIHSS scores, the value of cTnI and STAF scores were significantly higher in CCI group than in the NCCI group (P＜0.05). The area under the ROC curve of STAF scores was 0.954, and its 95%CI was between 0.924 and 0.985. The area under the ROC curve of the cTnI value was 0.852, and its 95% CI was between 0.788 and 0.916. The cutoff of STAF scores was 4 points, with a sensitivity of 92.1% and a specificity of 89.2%. The cutoff of cTnI value was 0.0085ng/ml, with a sensitivity of 73.7% and a specificity of 84.9%. Conclusion Serum cTnI value and STAF score have a good predictive value for CCI, and STAF score have a higher value than serum cTnI in predicting the diagnosis of CCI. Clinically, serum cTnI and STAF score may be helpful for etiology classification of acute ischemic stroke.

Objective: To investigate the clinicopathological features and molecular phenotypes of gastric cancer with enteroblastic dif-ferentiation (GCED). Methods: A retrospective analysis of 337 patients with gastric adenocarcinoma diagnosed by the pathology de-partment of the First Affiliated Hospital of Zhejiang University in March 2013-2017 was conducted. Of them, 8 patients were diag-nosed with gastric carcinoma with intestinal blastocyte differentiation. All the patients were elderly, including 6 men and 2 women. The onset age was 68-83 years (mean 76.6 years). Two cases had serum AFP≥200 μg/L before treatment. According to the histopatho-logical morphology, the immunophenotype was analyzed by immunohistochemistry, the SALL4 gene was detected using reverse tran-scription-polymerase chain reaction (RT-PCR), and the relevant literature was reviewed. Results: Microscopically, all cases had primi-tive enteroid structures, consisting of cubic or columnar cells with clear cytoplasm, and immunohistochemical staining showed positivi-ty for either AFP and GPC3 or SALL4. The expression of SALL4 mRNA was significantly increased by RT-PCR. Follow-up from 1 to 5 years showed that 5 patients had liver and other organ metastases, 2 patients died, and 1 patient survived without a tumor. Conclusions:GCED is a rare invasive gastric adenocarcinoma with a worse prognosis than that of normal intestinal adenocarcinoma. The treatment of general intestinal adenocarcinoma has little effect. There are some characteristic changes in histology. It would be helpful for diag-nosis and differential diagnosis if clinicians are familiar with the tumor spectrum and genetic characteristics. Target therapy for an origi-nal marker, such as SALL4, has a bright future.