Since epileptic seizure is unpredictable and paroxysmal, an automatic system for seizure detecting could be of great significance and assistance to patients and medical staff. In this paper, a novel method is proposed for multichannel patient-specific seizure detection applying the earth mover's distance (EMD) in scalp EEG. Firstly, the wavelet decomposition is executed to the original EEGs with five scales, the scale 3, 4 and 5 are selected and transformed into histograms and afterwards the distances between histograms in pairs are computed applying the earth mover's distance as effective features. Then, the EMD features are sent to the classifier based on the Bayesian linear discriminant analysis (BLDA) for classification, and an efficient postprocessing procedure is applied to improve the detection system precision, finally. To evaluate the performance of the proposed method, the CHB-MIT scalp EEG database with 958 h EEG recordings from 23 epileptic patients is used and a relatively satisfactory detection rate is achieved with the average sensitivity of 95.65% and false detection rate of 0.68/h. The good performance of this algorithm indicates the potential application for seizure monitoring in clinical practice.
Classification ; Discriminant Analysis* ; Electroencephalography* ; Epilepsy* ; Humans ; Medical Staff ; Methods ; Scalp* ; Seizures ; Weights and Measures

Objective To explore the effects of empowerment education combined with family support in management of elderly patients with coronary artery disease combined with renal dysfunction.Methods A total of 100 patients with coronary artery disease combined with renal dysfunction from March 2013 to March 2014 were included and randomly divided into observation group (n =50)and control group (n =50).The same drug treatment was used in both groups,additionally,the routine health education was performed in control group and empowerment education combined with family support was adopted in observation group.The self-care ability, life quality,satisfaction and clinical related indicators were evaluated before interventions and 6 months after interventions.Results After 6 months,there were more patients with medication compliance (72.0%), regular exercise (70.0%),and returning visit on time (70.0%)in observation group than those in control group (P <0.05).The levels of serum creatinine,urea nitrogen and urine protein decreased in both groups, and they decreased more significantly in observation group.The scores of life quality (96.49 ±2.63)and satisfaction (9.09 ±0.88 ) were higher in observation group than those in control group (P <0.05 ). Conclusions The empowerment education combined with family support can improve self-care ability,life quality,satisfaction and clinical related indicators of elderly patients with coronary artery disease combined with renal dysfunction.

Objective:To construct and validate a prediction model for the risk of intermediate cesarean delivery for primiparous women with failed vaginal trial of labor.Methods:Clinical data of 6 128 pregnant women who gave birth in the Affiliated Hospital of Jining Medical College from January 2019 to December 2020 were collected. The puerpera was randomly divided into train set ( n=4 290) and validation set ( n=1 838). The factors influencing the conversion to cesarean section in primiparous women with failed vaginal trial of labor were analyzed with univariate and binary multivariate logistic regression, and a risk prediction model was established based on the influencing factors. The predictive power of the model was assessed by receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow goodness-of-fit test in train set and validation set. Results:Among 6 128 pregnant women 1 042 cases failed in vaginal trial of labor and were transferred to cesarean section. Univariate analysis showed age, occupation, gestational weight gain, days of gestation, body temperature before delivery, fetal heart condition at delivery, fetal abdominal circumference, Bishop score, premature rupture of membranes, gestational illness, mode of induction of labor, labor analgesia, and fetal orientation were significantly associated with converting to cesarean delivery (all P<0.05). The multivariate binary logistic regression analysis showed that the age, gestational weight gain, body temperature, gestational co-morbidities, days of gestation, premature rupture of membranes, amniotic fluid contamination, induction of labor, and abnormal occipital position were independent risk factors for intermediate cesarean delivery ( OR=1.03-8.06, all P<0.05); while height, occupation, Bishop score, and labor analgesia were protective factors for intermediate cesarean delivery ( OR=0.17-0.96, all P<0.05). A risk prediction model was constructed based on the risk factors and protective factors. In train set, the area under the ROC curve(AUC) of the model was 0.902 (95% CI: 0.89-0.92, P<0.001), with the best cutoff value of 0.138, the sensitivity and specificity were 0.837 and 0.825, respectively; and the Hosmer-Lemeshow goodness-of-fit test showed P=0.192. In validation set the AUC of the model was 0.917 (95% CI: 0.90-0.93, P<0.001), and the sensitivity and specificity were 0.826 and 0.851, respectively; the total correct rate of the model was 87.21% (1 603/1 838). Conclusion:The risk prediction model of failed vaginal trial of labor in primiparous women for intermediate cesarean delivery constructed in this study has good clinical prediction efficacy and high correctness rate.

Transcatheter tricuspid valve intervention is the new frontier of interventional cardiology. The LuX-Valve is a radial force-independent orthotopic tricuspid valve replacement device developed in China. The LuX-Valve Plus transcatheter tricuspid valve replacement (TTVR) system is changed from the trans-atrial to the transjugular approach, which further reduces trauma and pulmonary complications compared with the first generation LuX-Valve. The first-in-human study has been completed at Zhongshan Hospital, Fudan University and an exploratory multicentre clinical study is underway. Echocardiography plays an important role in pre-TTVR screening, intraoperative guidance and postoperative evaluation and follow-up, especially two-dimensional transoesophageal echocardiography (2D-TEE) and three-dimensional transoesophageal echocardiography (3D-TEE). However, there is a lack of appropriate intraoperative guidance and assessment protocols. In this study, we briefly described the protocols and imaging considerations for intraoperative 2D-TEE and 3D-TEE to ensure the successful implantation of TTVR.

Tricuspid regurgitation (TR) interventions are under rapid development. The K-Clip? system is the first domestic transcatheter tricuspid annuloplasty system with unique clamping procedure to achieve annular reduction.Intraoperative echocardiographic monitoring procedures for transcatheter tricuspid annuloplasty have not been reported yet in China. Thus, this review aimed to propose the standard two-dimensional and three-dimensional transesophageal echocardiographic workplanes and procedures to guide and monitor the implantation of K-Clip system based on our experience in Zhongshan Hospital, Fudan University to provide a reference point for the intraoperative echocardiographic monitoring of future transcatheter tricuspid annuloplasty devices in China.

ObjectiveTo investigate the influence of concentration ratio（CR） between the internal reference and target components on the quantitative accuracy of quantitative analysis of multi-components by single marker（QAMS） by taking ginsenosides as an example. MethodUltra performance liquid chromatography（UPLC） was employed， the contents of nine components in Ginseng Radix et Rhizoma（ginsenosides Rg₁， Re， Rf， Rh₁， Rb₁， Rc， Rb₂， Rb₃， Rd） were determined by external standard method（ES）. Using ginsenoside Rg₁ as the internal reference， the contents of the remaining 8 ginsenosides were determined by QAMS， and the quantitative results were compared with those of ES to evaluate the quantitative accuracy of the established QAMS. According to the contents of these 9 ginsenosides， the simulated sample solutions with different CRs of ginsenoside Rg₁ to ginsenosides Rf， Rb₂， Rd were prepared with the reference substance（CR=100∶1， 10∶1， 5∶1， 2∶1， 1∶1， 0.5∶1， 0.25∶1）， in order to validate the effect of the CRs between the internal reference and other components on the quantitative accuracy of the QAMS. ResultThe results of ginsenosides Re， Rf， Rb₁， Rc， Rb₂ calculated by the two methods were the same with the relative standard deviation（RSD）<3%， however， the results of ginsenosides Rh₁， Rb₃ and Rd calculated by the two methods were different with RSDs of 7.06%-9.61%. According to the result of the simulated sample solution， the difference between the calculated results of ES and QAMS was large when the CR between the internal reference（ginsenoside Rg₁） and other components was 5 or 10 or even higher. ConclusionThe quantitative error of QAMS will increase when the CR between the quantitative component and the internal reference is too large， so it is suggested that when establishing the QAMS， the components with close concentration to the internal reference should be selected for quantification.

【Objective】 To investigate the prevalence and influencing factors of overweight and obesity among preschool children in Suzhou. 【Methods】 A stratified cluster random sampling method was used to select 24 452 children aged 3 - 6 years in different districts of Suzhou from December 2021 to June 2022. Then the prevalence rate of overweight and obesity was determined by physical measurements. A case-control study was conducted with a questionnaire survey of 3 786 children(1 893 in the obesity group and 1 893 in the control group) to analyze the factors influencing preschool obesity. 【Results】 1) The overall detection rates of overweight among preschool children in Suzhou was 14.8%(boys 14.6%, girls 15.0%). The overall detection rates of obesity was 7.9%(boys 8.7%, girls 7.1%), with a statistically significant difference between boys and girls(χ²=19.828, P<0.01). 2) There was statistically significant difference in the detection rates of obesity among different age groups(χ²=98.415, P<0.01), with the lowest rate in the 3 - 4 years old group(5.8%) and the highest rate in the 6 - 7 years old group(11.8%). 3) The overall detection rates of mild, moderate and severe obesity was 4.8%, 2.6% and 0.5%, respectively. The proportion of moderate and severe obesity significantly increased with age(χ²=57.275, P<0.01). 4) Risk factors for preschool obesity included birth weight >4 000g, cesarean section, parental overweight/obesity, strong appetite of children, eating speed <10min/meal, high frequency of fried food consumption(>1time/week), eating while watching television, sedentary behavior >2h/d, insufficient exercise endurance, screen time >1h/d, and late bedtime(after 21∶30)(P<0.05). Protective factors for preschool obesity included larger breakfast consumption, fruits and vegetables as regular snacks, and physical activity after meals(P<0.05). 5) Factors influencing the degree of preschool obesity included paternal overweight(OR=1.33, 95%CI:1.06 - 1.65), paternal obesity(OR=1.91, 95%CI:1.46 - 2.49), maternal overweight(OR=1.25, 95%CI:1.01 - 1.54), maternal obesity(OR=1.94, 95%CI:1.40 - 2.69), low education level of father(junior high school or below)(OR=1.57, 95%CI:1.25 - 1.96), strong appetite of children(OR=1.72, 95%CI:1.41 - 2.11), eating speed <10min/meal(OR=1.29, 95%CI:1.05 - 1.57), sedentary behavior >2h/d(OR=1.51, 95%CI:1.24 - 1.85), insufficient exercise endurance(OR=1.56, 95%CI:1.12 - 2.19), and screen time>1h/d(OR=1.42, 95%CI:1.16 - 1.75). 【Conclusions】 The detection rates of overweight and obesity among preschool children in Suzhou are relatively high, and the detection rate and severity of obesity increase with age. In addition to genetic factors, preschool obesity are also associated with pregnancy and birth history, as well as unhealthy lifestyle after birth.

Pharmaceutical analysis is a discipline based on chemical, physical, biological, and information technologies. At present, biotechnological analysis is a short branch in pharmaceutical analysis; however, bioanalysis is the basis and an important part of medicine. Biotechnological approaches can provide information on biological activity and even clinical efficacy and safety, which are important characteristics of drug quality. Because of their advantages in reflecting the overall biological effects or functions of drugs and providing visual and intuitive results, some biotechnological analysis methods have been gradually applied to pharmaceutical analysis from raw material to manufacturing and final product analysis, including DNA super-barcoding, DNA-based rapid detection, multiplex ligation-dependent probe amplification, hyperspectral imaging combined with artificial intelligence, 3D biologically printed organoids, omics-based artificial intelligence, microfluidic chips, organ-on-a-chip, signal transduction pathway-related reporter gene assays, and the zebrafish thrombosis model. The applications of these emerging biotechniques in pharmaceutical analysis have been discussed in this review.