To explore the effects of Huangqi injection in treating angina pectoris(AP) caused by coronary artery ectasia.Twelve cases of AP caused by coronary artery ectasia received a seven day treatment of aspirin and dilthiazem(Regimen 1)and then were treated with Huangqi injection additionally(Regimen 2)for another seven days.The frequency of attack and duration of AP and electrocardiogram(ECG) were examined before and after treatment.The frequency of attack and duration of AP and ECG were decreased after Regimen 1(P

In medical research, the quality of data is the key to success. Thus, data quality control becomes an important part of ensuring the research's high quality. REDCap system is an emerging data acquisition system in medical research, which is gradually applied in research at home and abroad. It is a hot issue to realize double data entry and data quality control in using the REDCap system, which researchers are concerned about when this system is supposed to apply. This article will systematically introduce how to use the REDCap system for double data entry and quality control from the aspects of research project creation, data collection tool design, double data entry, data checking and exporting.

Objective To investigate and validate the effect of relevant parameters of pancreatic anatomic structure under standard pancreatic neck transection in predicting postoperative pancreatic fistula (POPF). Methods A total of 140 patients who underwent pancreaticoduodenectomy (PD) in The General Hospital of Western Theater Command from June 2016 to December 2019 were enrolled as prediction group, and 82 patients who underwent PD in the same hospital from January 2020 to March 2021 were enrolled as validation group. Baseline levels were compared between the two groups. A univariate analysis was performed for the prediction group to screen out the risk factors for POPF, and in the validation group, the interclass correlation coefficient (ICC) was used to compare the consistency between preoperative imaging measurements and actual intraoperative measurements. The risk factors for POPF were validated in each group. The t -test was used for comparison of normally distributed continuous data between groups, and the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between groups; the chi-square test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to investigate the risk factors for POPF. Youden index was calculated, GraphPad Prism was used to plot the receiver operating characteristic (ROC) curve, and the area under the ROC curve (AUC) was calculated. ICC was used for the reliability analysis of preoperative imaging measurements and actual intraoperative measurements. Results Pancreatic duct diameter at the pancreatic neck (odds ratio [ OR ]=0.347, 95% confidence interval [ CI ]: 0.192-0.626, P < 0.001), the major axis of the pancreatic neck parenchyma ( OR =1.127, 95% CI : 1.031-1.231, P =0.008), and the minor axis of the pancreatic neck parenchyma ( OR =1.350, 95% CI : 1.137-1.602, P =0.001) were risk factors for POPF. Pancreatic duct diameter at the pancreatic neck had an AUC of 0.785 (95% CI : 0.128-0.302, P < 0.001) and a cut-off value of 2.7 mm; the major axis of the pancreatic neck parenchyma had an AUC of 0.669 (95% CI : 0.564-0.774, P =0.006) and a cut-off value of 19.3 mm, and the minor axis of the pancreatic neck parenchyma had an AUC of 0.720 (95% CI : 0.627-0.813, P < 0.001) and a cut-off value of 9.9 mm. Preoperative imaging measurements were highly consistent with actual intraoperative measurements for 30 patients in the validation group, with an ICC of > 0.75 ( P < 0.001). Grouping validation of cut-off values showed that there was a significant different in the incidence rate of POPF between the high-risk group and the low-risk group based on pancreatic duct diameter at the pancreatic neck ( χ 2 =0.645, P =0.011), as well as between the high-risk group and the low-risk group based on the minor axis of the pancreatic neck parenchyma ( χ 2 =5.901, P =0.015). Conclusion Structural features of the pancreatic neck under standard pancreatic neck transection are risk factors for POPF, which can be differentiated by preoperative CT, and the method is easy and convenient in clinical practice.

Recording the highly diverse and dynamic activities in large populations of neurons in behaving animals is crucial for a better understanding of how the brain works. To meet this challenge, extensive efforts have been devoted to developing functional fluorescent indicators and optical imaging techniques to optically monitor neural activity. Indeed, optical imaging potentially has extremely high throughput due to its non-invasive access to large brain regions and capability to sample neurons at high density, but the readout speed, such as the scanning speed in two-photon scanning microscopy, is often limited by various practical considerations. Among different imaging methods, light field microscopy features a highly parallelized 3D fluorescence imaging scheme and therefore promises a novel and faster strategy for functional imaging of neural activity. Here, we briefly review the working principles of various types of light field microscopes and their recent developments and applications in neuroscience studies. We also discuss strategies and considerations of optimizing light field microscopy for different experimental purposes, with illustrative examples in imaging zebrafish and mouse brains.
Animals ; Mice ; Microscopy/methods* ; Zebrafish ; Neurons/physiology* ; Brain/physiology* ; Neurosciences