ObjectiveTo analyze the risk factors for long-term cardiovascular events in patients undergoing long-term peritoneal dialysis （PD）， and to construct and validate a visual nomogram prediction model based on multiple parameters. MethodsA prospective cohort study was conducted， consecutively enrolling 248 maintenance PD patients （dialysis duration ≥ 3 months）. Demographic characteristics， clinical indicators， laboratory parameters， and echocardiographic indices （including left ventricular ejection fraction ［LVEF］， ratio of early diastolic mitral inflow velocity to early diastolic mitral annular velocity （E/e’）， etc.） were collected. The composite endpoint was defined as the occurrence of cardiovascular events or cardiovascular death， with non-cardiovascular death as the competing risk and loss to follow-up or the end of follow-up as censoring events. Fine-Gray competing risks model was used to screen independent predictors， based on which a nomogram model was constructed. Internal validation was performed using the Bootstrap method （1 000 resamplings）， and the concordance index （C-index） and time-dependent receiver operating characteristic （time-dependent ROC） curve were calculated to evaluate the model performance. ResultsWith a median follow-up of 29 months （interquartile range： 24–35 months）， 88 patients （35.48%） reached the composite endpoint， including 80 cases of cardiovascular events and 8 cases of cardiovascular death， and 4 patients died of non-cardiovascular causes. Multivariate Fine-Gray analysis revealed that age， diabetes mellitus， hemoglobin （HGB） level and E/e' ratio were independent influencing factors of the composite endpoint. Specifically， each 1-year increase in age was associated with a 3.0% increase in the risk of the composite endpoint （HR=1.030， P=0.006）； patients with diabetes mellitus had a 167.9% higher risk compared with non-diabetic patients （HR=2.679， P=0.007）； each 1g/L increase in HGB level contributed to a 1.5% reduction in the risk （HR=0.985， P=0.003）； and each 0.1 increase in E/e' ratio led to a 7.2% increase in the risk （HR=1.072， P=0.045）. The nomogram model had a C-index of 0.76 （95% CI： 0.698–0.820）， and the AUC of the time-dependent ROC curve reached 0.849 at 23 months of follow-up. ConclusionIncreased age， complicated with diabetes mellitus， decreased HGB， and elevated E/e' ratio are independent risk factors of long-term occurrence of cardiovascular events and cardiovascular death in patients undergoing long-term PD. The nomogram model constructed based on the above variables has good predictive value and clinical applicability， which can provide a reference for cardiovascular risk stratification and individualized intervention in long-term PD patients.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Abstract Alzheimer′s disease(AD) is a common neurodegenerative disease. It has been found that AD is related to various pathogenic factors such as genetics, cardiovascular and cerebrovascular disease, and excessive phosphorylation of tau protein. However, no definitive conclusions on its pathogenesis have been reached. In this paper, the research progress on the pathogenesis of AD inC.elegansmodel and the therapeutic effects of traditional Chinese medicine extracts on AD are reviewed, providing a basis for further research on the alleviating effects of Chinese medicine extracts on AD.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Objective To verify the accuracy of Youssef's formula and evaluate whether fetal biacromial diameter(BA)and other fetal biological diameters estimated by ultrasound can be used to predict macrosomia and shoulder dystocia,so as to provide the possibility for clinical prediction of shoulder dystocia.Methods A total of 200 pregnant women with a gestational period of 37-42 weeks were examined with ultrasound within 3 days before delivery for collecting biparietal diameter(BPD),head circumference(HC),abdominal circumference(AC),humerus length(HL),femur length(FL),thoracic transverse diameter and midpoint diameter of upper arm;and the fetal BA was estimated by Youssef's formula.Neonatal BA,body mass and body length were measured within 1 day after delivery.The above data were analyzed for correlation.Newborns were grouped according to their body mass(macrosomia vs non-macrosomia)and whether they had shoulder dystocia or not(shoulder dystocia vs non-shoulder dystocia).Results(1)The fetal BA estimated by Youssef's formula was consistent with neonatal BA(P>0.05),and the estimated BA was positively correlated with BPD,HC,AC and neonatal body mass(P<0.001).(2)The BA,BA/AC and BA/HC in macrosomia group were different from those in non-macrosomia group(P<0.05).ROC curve showed that the sensitivity and specificity were 92.3%and 88.2%for macrosomia prediction when the estimated BA threshold was 16.05 cm,and those were 61.5%and 77.0%when BA/AC threshold was 0.455,and 76.9%and 72.7%when BA/HC threshold was 0.465.(3)Shoulder dystocia group had neonatal weight close to non-shoulder dystocia group(P>0.05),but higher BA/BPD,BA/HC and BA-BPD(P<0.05).ROC curve showed that the sensitivity and specificity were 100.0%and 66.8%for shoulder dystocia when BA threshold was 15.45 cm,100.0%and 80.6%when BA/BPD threshold was 1.695,100.0%and 81.6%when BA/HC threshold was 0.475,and 100.0%and 76.0%when the threshold difference between BA and BPD was 6.35 cm.Conclusion Fetal BA,BA/BPD,BA/HC,BA/AC and BA-BPD may be effective predictors of shoulder dystocia and macrosomia.

Objective To compare the effects of three nickel-titanium file systems,ProTaper Next,TruNatomy,and VDW.RO-TATE,on the morphology of the Danger Zone of the mesial buccal root of mandibular first molar after root canal preparation using Mi-cro-CT and 3D printing technology.Methods 3D-printed mandibular first molars were selected and designed for purpose.They were randomly divided into three groups according to the used NiTi files(n=20).Micro-CT was used to scan the cross-sectional images of the Danger Zone 2 mm below the furcation of the mesial buccal root before and after root canal preparation.The changes in the root ca-nal wall thickness,root canal volume,surface area,cross-sectional area,and root canal transportation in the Danger Zone were ob-served.Statistical analysis was performed using one-way ANOVA(P＜0.05).Results Statistically significant differences were observed before and after root canal preparation in the Danger Zone among the three groups(P＜0.05).Among the three groups,the PTN files caused the largest change before and after preparation,followed by VDW files,and the TRU files had the smallest change.Conclusion The study highlights TruNatomy's conservative shaping capacity,advocating its use in minimally invasive endodontics,whereas Pro-Taper Next may be reserved for cases requiring aggressive canal preparation.

Objective:To develop a quality assessment index system for infection prevention and control in integrated medical and elderly care facilities, providing methods for assessing infection control quality and a theoretical basis for enhancing infection prevention and control capabilities.Methods:This study initially constructed a framework for the quality evaluation index system through literature reviews, work specifications and standards and expert interviews. The Delphi method was employed to conduct two rounds of consultations with 19 experts to evaluate the necessity, feasibility, stability, and sensitivity of the indicators. The expert′s active coefficient, authority coefficient, degree of consensus, and coordination were statistically analyzed. The indicators were revised based on expert opinions to finalize the evaluation index system. The weights of the evaluation dimensions were determined using the Analytic Hierarchy Process (AHP), while the weights of the indicators were determined using the proportional allocation method. Reliability was assessed via Cronbach′s α coefficient, and content validity was verified through the Content Validity Index ( CVI). Results:After two rounds of expert consultation, the expert positive coefficient, expert authority coefficient ( Cr) and expert coordination coefficient Kendall′s W was 100%, 0.992 and 0.634 ( P<0.001), indicating high expert authority, good concentration and coordination of opinions. The assessment index system for infection prevention and control quality in integrated medical and elderly care facilities was ultimately constructed, comprising three primary indicators, 18 secondary indicators and 68 tertiary indicators. Among the primary indicators, the process quality had the highest weight of 0.338. Within the process quality, the secondary indicators with the highest weights were infection control material allocation, hand hygiene quality and the management of cluster outbreaks. A total of 11 unique evaluation indicators for integrated medical and elderly care facilities were established, with the highest weighted indicator being the rate of standardized surveillance of infection-related risk factors. Reliability and validity analyses demonstrated that the overall Cronbach′s α coefficient of the system was 0.991, and the Scale-level Content Validity Index was 0.936, confirming good reliability and validity. Conclusion:The evaluation index system constructed in this study can serve as an effective assessment tool for the quantitative evaluation of infection control quality in integrated medical and elderly care facilities. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.