5 results on '"Wang, Junping"'
Search Results
2. Establishment and validation of a CT-based prediction model for the good dissolution of mild chronic subdural hematoma with atorvastatin treatment.
- Author
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Zhang, Xinjie, Sha, Zhuang, Feng, Dongyi, Wu, Chenrui, Tian, Ye, Wang, Dong, Wang, Junping, and Jiang, Rongcai
- Subjects
STATISTICAL models ,PREDICTION models ,RECEIVER operating characteristic curves ,RESEARCH funding ,COMPUTED tomography ,RESEARCH evaluation ,TREATMENT effectiveness ,DESCRIPTIVE statistics ,CHRONIC diseases ,ATORVASTATIN ,RESEARCH methodology ,SUBDURAL hematoma ,CONFIDENCE intervals ,REGRESSION analysis ,SENSITIVITY & specificity (Statistics) ,EVALUATION - Abstract
Purpose: To develop and validate a prediction model based on imaging data for the prognosis of mild chronic subdural hematoma undergoing atorvastatin treatment. Methods: We developed the prediction model utilizing data from patients diagnosed with CSDH between February 2019 and November 2021. Demographic characteristics, medical history, and hematoma characteristics in non-contrast computed tomography (NCCT) were extracted upon admission to the hospital. To reduce data dimensionality, a backward stepwise regression model was implemented to build a prognostic prediction model. We calculated the area under the receiver operating characteristic curve (AUC) of the prognostic prediction model by a tenfold cross-validation procedure. Results: Maximum thickness, volume, mean density, morphology, and kurtosis of the hematoma were identified as the most significant predictors of good hematoma dissolution in mild CSDH patients undergoing atorvastatin treatment. The prediction model exhibited good discrimination, with an area under the curve (AUC) of 0.82 (95% confidence interval [CI], 0.74–0.90) and good calibration (p = 0.613). The validation analysis showed the AUC of the final prognostic prediction model is 0.80 (95% CI 0.71–0.86) and it has good prediction performance. Conclusion: The imaging data-based prediction model has demonstrated great prediction accuracy for good hematoma dissolution in mild CSDH patients undergoing atorvastatin treatment. The study results emphasize the importance of imaging data evaluation in the management of CSDH patients. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Bidirectional two-sample Mendelian randomization analyses support causal relationships between structural and diffusion imaging-derived phenotypes and the risk of major neurodegenerative diseases.
- Author
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Wang, Zirui, Yang, Xuan, Li, Haonan, Wang, Siqi, Liu, Zhixuan, Wang, Yaoyi, Zhang, Xingyu, Chen, Yayuan, Xu, Qiang, Xu, Jiayuan, Wang, Zengguang, and Wang, Junping
- Published
- 2024
- Full Text
- View/download PDF
4. Metal complex catalysts broaden bioorthogonal reactions.
- Author
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Zhang, Hanjie, Qin, Xiaoyu, Wang, Junping, Ma, Li, and Chen, Tianfeng
- Abstract
Bioorthogonal reactions involving transition metals have diversified applications in imaging, drug development, chemical catalysis and other fields. Transition metals used to catalyze the bioorthogonal reaction mainly include ruthenium, palladium, copper, and gold. However, the great potential for translational applications of bioorthogonal reaction needs to be further expanded and their reaction efficiency should be improved. Therefore, it is an urgent need for the development of this field to find more suitable catalysts to efficiently catalyze existing biological orthogonal reactions and expand the types of biological orthogonal reactions. Thus, this review not only summarizes those transition metal complexes-based catalysts participating in bioorthogonal reaction and some bioorthogonal reactions involving transition metals inside the cells, but also sheds light into the discovery of new transition metal complexes and their future development in applications. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
5. Subcutaneous fat thickness predicts postoperative seroma following laparoscopic total extra-peritoneal hernioplasty.
- Author
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Teng, Shigang, Xu, Mingyue, Yin, Peng, Li, Haifeng, Wang, Junping, and Liu, Zhongcheng
- Abstract
Purpose: Seroma formation is the most common cause of morbidity associated with laparoscopic inguinal hernia repair. This study aimed to examine the relationship between the thickness of subcutaneous fat (TSF) and the risk of postoperative seroma.We reviewed data from a prospective cohort of 229 male patients who underwent laparoscopic total extra-peritoneal (TEP) hernioplasty for indirect inguinal hernia between August 2018 and July 2021. The TSF was assessed using preoperative ultrasound images. The risk factors for postoperative seroma were determined using univariate and multivariate logistic regression models.Postoperative seromas occurred in 26 patients (11.4%). The factors associated with postoperative seroma included longer hernia duration, larger hernia defects, extension into the scrotum, and greater TSF (
P < 0.05). In multivariate analysis, a greater TSF was independently associated with a greater risk of postoperative seroma (per 1 mm: odd ratio [OR] 1.105, 95% confidence interval [CI] 1.048–1.165,P < 0.001; TSF ≥ 26.0 mm: OR 7.033, 95% CI 2.485–19.901,P < 0.001). Similar results were obtained in the subgroup analysis. The area under the curve of TSF for predicting seroma formation was 0.703 (95% CI 0.601–0.806).Ultrasound-derived TSF may be a promising prognostic factor for postoperative seroma in patients undergoing laparoscopic TEP repair. Further validation is required and then this parameter can be used to improve decision-making process.Methods: Seroma formation is the most common cause of morbidity associated with laparoscopic inguinal hernia repair. This study aimed to examine the relationship between the thickness of subcutaneous fat (TSF) and the risk of postoperative seroma.We reviewed data from a prospective cohort of 229 male patients who underwent laparoscopic total extra-peritoneal (TEP) hernioplasty for indirect inguinal hernia between August 2018 and July 2021. The TSF was assessed using preoperative ultrasound images. The risk factors for postoperative seroma were determined using univariate and multivariate logistic regression models.Postoperative seromas occurred in 26 patients (11.4%). The factors associated with postoperative seroma included longer hernia duration, larger hernia defects, extension into the scrotum, and greater TSF (P < 0.05). In multivariate analysis, a greater TSF was independently associated with a greater risk of postoperative seroma (per 1 mm: odd ratio [OR] 1.105, 95% confidence interval [CI] 1.048–1.165,P < 0.001; TSF ≥ 26.0 mm: OR 7.033, 95% CI 2.485–19.901,P < 0.001). Similar results were obtained in the subgroup analysis. The area under the curve of TSF for predicting seroma formation was 0.703 (95% CI 0.601–0.806).Ultrasound-derived TSF may be a promising prognostic factor for postoperative seroma in patients undergoing laparoscopic TEP repair. Further validation is required and then this parameter can be used to improve decision-making process.Results: Seroma formation is the most common cause of morbidity associated with laparoscopic inguinal hernia repair. This study aimed to examine the relationship between the thickness of subcutaneous fat (TSF) and the risk of postoperative seroma.We reviewed data from a prospective cohort of 229 male patients who underwent laparoscopic total extra-peritoneal (TEP) hernioplasty for indirect inguinal hernia between August 2018 and July 2021. The TSF was assessed using preoperative ultrasound images. The risk factors for postoperative seroma were determined using univariate and multivariate logistic regression models.Postoperative seromas occurred in 26 patients (11.4%). The factors associated with postoperative seroma included longer hernia duration, larger hernia defects, extension into the scrotum, and greater TSF (P < 0.05). In multivariate analysis, a greater TSF was independently associated with a greater risk of postoperative seroma (per 1 mm: odd ratio [OR] 1.105, 95% confidence interval [CI] 1.048–1.165,P < 0.001; TSF ≥ 26.0 mm: OR 7.033, 95% CI 2.485–19.901,P < 0.001). Similar results were obtained in the subgroup analysis. The area under the curve of TSF for predicting seroma formation was 0.703 (95% CI 0.601–0.806).Ultrasound-derived TSF may be a promising prognostic factor for postoperative seroma in patients undergoing laparoscopic TEP repair. Further validation is required and then this parameter can be used to improve decision-making process.Conclusion: Seroma formation is the most common cause of morbidity associated with laparoscopic inguinal hernia repair. This study aimed to examine the relationship between the thickness of subcutaneous fat (TSF) and the risk of postoperative seroma.We reviewed data from a prospective cohort of 229 male patients who underwent laparoscopic total extra-peritoneal (TEP) hernioplasty for indirect inguinal hernia between August 2018 and July 2021. The TSF was assessed using preoperative ultrasound images. The risk factors for postoperative seroma were determined using univariate and multivariate logistic regression models.Postoperative seromas occurred in 26 patients (11.4%). The factors associated with postoperative seroma included longer hernia duration, larger hernia defects, extension into the scrotum, and greater TSF (P < 0.05). In multivariate analysis, a greater TSF was independently associated with a greater risk of postoperative seroma (per 1 mm: odd ratio [OR] 1.105, 95% confidence interval [CI] 1.048–1.165,P < 0.001; TSF ≥ 26.0 mm: OR 7.033, 95% CI 2.485–19.901,P < 0.001). Similar results were obtained in the subgroup analysis. The area under the curve of TSF for predicting seroma formation was 0.703 (95% CI 0.601–0.806).Ultrasound-derived TSF may be a promising prognostic factor for postoperative seroma in patients undergoing laparoscopic TEP repair. Further validation is required and then this parameter can be used to improve decision-making process. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
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