1.Construction and analysis of a risk predictive model for carotid plaque shedding based on superb microvascular imaging blood flow grading indicators combined with serological indicators
Yeding LIU ; Fanghong CHEN ; Weichu CHEN ; Ye CHENG
Chinese Journal of Arteriosclerosis 2024;32(4):332-338
Aim To explore the application value of a predictive model constructed based on superb microvascu-lar imaging(SMI)blood flow grading indicators and serological indicators in evaluating the risk of carotid plaque shedding.Methods A total of 122 patients diagnosed with carotid plaque in Lishui Central Hospital from February 2019 to February 2021 were selected.SMI was used to observe the blood flow grading and plaque characteristics in carotid plaque,and baseline clinical data of the patients were recorded.All patients were followed up for a period of 2 years,with the occur-rence of transient ischemic attack(TIA)or acute ischemic stroke(AIS)as the endpoint event,and were divided into plaque shedding group and non-shedding group.Clinical data of the two groups were compared and analyzed,and multiple regression analysis was conducted to identify the relevant factors affecting carotid plaque shedding.According to the SMI ultrasound characteristics and serological indicators,R software was adopted to establish the nomogram model and evaluate effectiveness of the model.Results During the 2-year follow-up period,21 TIA cases and 14 AIS cases were found in the remaining 112 patients excluding 10 lost to follow up.The SMI blood flow grading,neutrophil to lymphocyte ratio(NLR),matrix metalloproteinase-9(MMP-9),and low density lipoprotein cholesterol(LDLC)levels in the plaque shedding group were higher than those in the non-shedding group,and the differences were statistically significant(P<0.05).Multivariate Logistic regression analysis showed that SMI blood flow grade 3(OR=38.095),LDLC(OR=19.730),NLR(OR=34.525)and MMP-9(OR=1.225)were independent risk factors for carotid plaque shedding(P<0.05).The R software established a column chart model and applied it to the ROC curve analysis.The AUC of the col-umn chart model in early prediction of plaque shedding was 0.917,with a sensitivity of 82.86%and a specificity of 90.91%.Conclusion The predictive model constructed by combining blood flow grading within carotid artery plaques and serological indicators through SMI can provide early warning of plaque shedding and guide clinical early intervention to reduce the risk of TIA and AIS.
2.Promoting learning gains and practical ability of nursing students: the construction and empirical research of inquiry learning community
Bing YANG ; Fuying LI ; Shiqi XIE ; Yunmei ZHANG ; Siyuan YANG ; Shaoyu MOU ; Weichu LIU
Chinese Journal of Medical Education Research 2023;22(2):315-320
Objective:To develop an inquiry learning community centered on learning experience in the course of Nursing Clinical Comprehensive Experiment to verify the influence of this teaching mode on the learning gains and practical ability of nursing students. Methods:A total of 132 undergraduate nursing students form grade 3 in Chongqing Medical University were enrolled. The participants were randomly assigned to a learning community group ( n = 69) and a control group ( n = 63) using Minitab 14.0 software. The students in the learning community group adopted the inquiry learning community mode in accordance with the curriculum map for online self-learning, group discussion and skills practice, while the control group received the teacher-led teaching mode for offline theory teaching, operation teaching and skills practice. After the teaching intervention, both groups of students received the assessment questionnaire of learning gains and the comprehensive experimental ability evaluation. Chi-square test or paired t-test was performed using SPSS 23.0. Results:Compared with the control group, students in the learning community group reported that their sense of learning gain was enhanced ( P<0.001, Cohen d=0.97); sub-items showed that the effect size for the understanding of learning content ( P<0.001, Cohen d=1.22), the overall course situation ( P<0.001, Cohen d=0.90), the course activities ( P=0.000, Cohen d=0.83), and the information obtained ( P<0.001, Cohen d=1.16) was significantly different. The total score of practical ability of comprehensive experiment was significantly improved ( P = 0.005, Cohen d=0.51), in which the experimental situation displays ( P=0.002, Cohen d=0.55) and experimental effect ( P=0.006, Cohen d=0.49) were better than the control group. There was no significant difference in the performance of experimental preparation and case analysis between the two groups. Conclusion:Developing an inquiry learning community in nursing clinical comprehensive experiment can effectively enhance student' sense of learning gains and promote the improvement of clinical practical ability.