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677 results on '"Ma, Qingyong"'

7. Chinese Society of Clinical Oncology (CSCO): Clinical guidelines for the diagnosis and treatment of pancreatic cancer

Author

Cui, Jiujie, Jiao, Feng, Li, Qi, Wang, Zheng, Fu, Deliang, Liang, Jun, Liang, Houjie, Xia, Tingyi, Zhang, Tao, Zhang, Yang, Dai, Guanghai, Zhang, Zhihong, Wang, Jian, Bai, Yongrui, Bai, Yuxian, Bi, Feng, Chen, Donghui, Cao, Dan, Chen, Jie, Fang, Weijia, Gao, Yong, Guo, Jianwei, Hao, Jihui, Hua, Haiqing, Huang, Xinyu, Liu, Wenchao, Liu, Xiufeng, Li, Da, Li, Ji, Li, Enxiao, Li, Zhiwei, Pan, Hongming, Shen, Lin, Sun, Yongwei, Tao, Min, Wang, Chengfeng, Wang, Fenghua, Xiong, Jianping, Zhang, Taiping, Zhang, Xuebin, Zhan, Xianbao, Zheng, Leizhen, Ren, Gang, Zhang, Tingting, Zhou, Jun, Ma, Qingyong, Qin, Shukui, Hao, Chunyi, and Wang, Liwei

Published
2022
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10. Risk factors and prediction score for new‐onset diabetes mellitus after liver transplantation.

Author

Bai, Ruiping, An, Rui, Chen, Siyu, Ding, Wenkang, Xue, Mengwen, Zhao, Ge, Ma, Qingyong, and Shen, Xin

Subjects
DISEASE risk factors, LENGTH of stay in hospitals, LIVER transplantation, BLOOD sugar, DIABETES
Abstract

Aim: New‐onset diabetes mellitus is a frequent and severe complication arising after liver transplantation (LT). We aimed to identify the risk factors for new‐onset diabetes mellitus after liver transplantation (NODALT) and to develop a risk prediction score system for relevant risks. Methods: We collected and analyzed data from all recipients who underwent liver transplantation at the First Affiliated Hospital of Xi'an Jiaotong University. The OR derived from a multiple logistic regression predicting the presence of NODALT was used to calculate the risk prediction score. The performance of the risk prediction score was externally validated in patients who were from the CLTR (China Liver Transplant Registry) database. Results: A total of 468 patients met the outlined criteria and finished the follow‐up. Overall, NODALT was diagnosed in 115 (24.6%) patients. Age, preoperative impaired fasting glucose (IFG), postoperative fasting plasma glucose (FPG), and the length of hospital stay were significantly associated with the presence of NODALT. The risk prediction score includes age, preoperative IFG, postoperative FPG, and the length of hospital stay. The risk prediction score of the area under the receiver operating curve was 0.785 (95% CI: 0.724–0.846) in the experimental population and 0.782 (95% CI: 0.708–0.856) in the validation population. Conclusions: Age at the time of transplantation, preoperative IFG, postoperative FPG, and length of hospital stay were independent predictive factors of NODALT. The use of a simple risk prediction score can identify the patients who have the highest risk of NODALT and interventions may start early. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Data Supplement from Sonic Hedgehog Paracrine Signaling Activates Stromal Cells to Promote Perineural Invasion in Pancreatic Cancer

Author

Li, Xuqi, primary, Wang, Zheng, primary, Ma, Qingyong, primary, Xu, Qinhong, primary, Liu, Han, primary, Duan, Wanxing, primary, Lei, Jianjun, primary, Ma, Jiguang, primary, Wang, Xiu, primary, Lv, Shifang, primary, Han, Liang, primary, Li, Wei, primary, Guo, Jian, primary, Guo, Kun, primary, Zhang, Dong, primary, Wu, Erxi, primary, and Xie, Keping, primary

Published
2023
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38. Mutant p53 driven-LINC00857, a protein scaffold between FOXM1 and deubiquitinase OTUB1, promotes the metastasis of pancreatic cancer

Author

Zhang, Weifan, primary, Qian, Weikun, additional, Gu, Jingtao, additional, Gong, Mengyuan, additional, Zhang, Wunai, additional, Zhang, Simei, additional, Zhou, Cancan, additional, Jiang, Zhengdong, additional, Jiang, Jie, additional, Han, Liang, additional, Wang, Xiaoqin, additional, Wu, Zheng, additional, Ma, Qingyong, additional, and Wang, Zheng, additional

Published
2023
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43. Blood loss during liver transplantation is a predictor of postoperative thrombosis

Author

An, Rui, Bai, Ruiping, Zhang, Simei, Xie, Peiling, Zhu, Yulin, Wen, Jian, Ma, Qingyong, and Shen, Xin

Subjects
Portal Vein, Risk Factors, Humans, Thrombosis, Hemorrhage, General Medicine, Original Research, Liver Transplantation, Retrospective Studies
Abstract

Liver transplantation (LT) is an effective way to cure end-stage liver diseases (ESLDs), which have generally been regarded as examples of acquired bleeding disorders. However, postoperative thrombosis after LT is recognised and remains a life-threatening complication. This study aimed to show that blood loss during LT is a predictor of postoperative thrombosis and to establish a predictive model. We analysed the medical records of all patients who underwent LT at the First Affiliated Hospital of Xi'an Jiaotong University from January 2017 to April 2019 to identify the risk factors for post-transplant thrombosis. The predictive nomogram was established based on independent predictors identified by logistic regression analysis. Blood loss during LT of ≥31.25 mL/kg can predict postoperative thrombosis, and the nomogram achieved an accurate prediction.

Published
2022

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