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Xingchen Li,Yiqin Wang,Jiaqi Wang,Jingyi Zhou,Jianliu Wang 대한부인종양학회 2024 Journal of Gynecologic Oncology Vol.35 No.4
Objective: This study aims to assess the impact of the metabolic risk score (MRS) on timeto achieve complete remission (CR) of fertility-sparing treatments for atypical endometrialhyperplasia (AEH) and early endometrial cancer (EC) patients. Methods: Univariate and multivariate cox analyses were employed to identif y independentrisk factors affecting the time to CR with patients at our center. These factors weresubsequently incorporated into receiver operator characteristic cur ve analysis and decisioncur ve analysis to assess the predictive accuracy of time to CR. Additionally, Kaplan–Meieranalysis was utilized to determine the cumulative CR rate for patients. Results: The 173 patients who achieved CR following fertility preser vation treatment (FPT)were categorized into three subgroups based on their time to CR (<6, 6–9, >9 months). Bodymass index (hazard ratio [HR]=0.20; 95% confidence inter val [CI]=0.03, 0.38; p=0.026),MRS (HR=0.31; 95% CI=0.09, 0.52; p=0.005), insulin resistance (HR=1.83; 95% CI=0.05,3.60; p=0.045), menstruation regularity (HR=3.77; 95% CI=1.91, 5.64; p=0.001), polycysticovar y syndrome (HR=−2.16; 95% CI=−4.03, −0.28; p=0.025), and histological type (HR=0.36;95% CI=0.10, 0.62; p=0.005) were identified as risk factors for time to CR, with MRSbeing the independent risk factor (HR=0.29; 95% CI=0.02, 0.56; p=0.021). The inclusionof MRS significantly enhanced the predictive accuracy of time to CR (area under the cur ve[AUC]=0.789 for Model 1, AUC=0.862 for Model 2, p=0.032). Kaplan–Meier sur vival cur vesrevealed significant differences in the cumulative CR rate among different risk groups. Conclusion: MRS emerges as a novel evaluation system that substantially enhances thepredictive accuracy for the time to achieve CR in AEH and early EC patients seeking fertilitypreser vation.
Risk assessment of aviation DC series arc based on reconstructed CBAM‑CNN
Haoqi Yang,Cong Gao,Hongjuan Ge,Yiqin Sang,Yongshuai Wang 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.5
The hazards of sustained arc and un-sustained arc are different. However, during the stage of arc development, there is a lack of effective methods to identify them, which is not conducive to the timely accurate assessment of arc risk. Therefore, this paper proposes a risk assessment method for aviation DC series arc based on a reconstructed CBAM-CNN. First, in the process of generating the feature set, a feature evaluation function is defined to screen the features. Then the existing convolution block attention module (CBAM) is improved by adding a reshaped layer and redefining spatial attention, which results in the reconstructed CBAM-CNN. Finally, the reconstructed CBAM-CNN takes the feature set as its input and output arc risk assessment results on the basis of enhancing the attention of important features. The validity of the reconstructed CBAM-CNN method is verified on an aviation DC arc generation platform. It is found that the proposed method has a higher training efficiency and evaluation accuracy than the CNN method and CBAM-CNN method. In addition, the reconstructed CBAM-CNN involves fewer parameters to be measured, which can reduce its dependence on computing resources.
Yi Qin,Zhao-hui Jin,Zhen-ying Zhang,Ke-ke Chen,Xin Yu,Hong-jiao Yan,Rui-dan Wang,Yuan Su,Ai-xian Liu,Jia-ning Xi,Bo-yan Fang 대한신경과학회 2023 Journal of Clinical Neurology Vol.19 No.1
Background and Purpose Orthostatic hypotension (OH) is common in patients with Parkinson’s disease (PD). Early recognition OH is required with sensitive assessments. The purpose of this study was to determine whether blood pressure (BP) changes during exercise can predict the occurrence of OH in PD. Methods This prospective cohort study included 80 consecutive patients with PD. All patients agreed to participate in a baseline evaluation and cardiopulmonary exercise test (CPET). According to the initial active standing test (AST), those without OH (PD-nonOH) at baseline had their AST results followed up for 6 months. The main outcome was defined as whether patients without OH at baseline would develop OH after 6 months. Logistic regression analysis was applied to identify the relevant variables. A nomogram was constructed based on clinical features and identified variables. The concordance index (C-index) and area under the receiver operating characteristic curve (AUC) were used to evaluate the accuracy and predictive ability of the nomogram, respectively. Results CPET results indicated that peak load, peak heart rate, heart rate recovery at 1 min, and systolic BP change (ΔSBP) were lower in those with OH than in the PD-nonOH group (p<0.05) at baseline. Logistic regression analysis indicated that peak load and ΔSBP during CPET had significant effects on OH (p<0.05). Age, sex, peak load, and ΔSBP were used to construct the nomogram model (C-index=0.761). The prediction model had an AUC of 0.782 (95% confidence interval=0.649–0.889) and a specificity and sensitivity of 70.0% and 81.8%, respectively. Conclusions This study has identified predictive factors for OH development in patients with PD. CPET could be used as a complementary examination to identify patients at a high risk of OH.