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Platelets Volume 31, 2020 - Issue 1
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Original Articles

Platelet count as a new biomarker for acute kidney injury induced by hemorrhagic shock

Ming WuDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,China;Graduate School, Guangdong Medical University, Zhanjiang, ChinaView further author information
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Ying-Yi LuanDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,China;Trauma Research Center, First Hospital Affiliated to the Chinese PLA General Hospital, Beijing, ChinaView further author information
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Jun-Fu LuDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,China;Department of Critical Care Medicine, Central People’s Hospital of Zhanjiang, Zhanjiang, ChinaView further author information
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Haoli LiDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,ChinaView further author information
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Hai-Chao ZhanDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,ChinaView further author information
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Yan-Hong ChenDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,ChinaView further author information
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Fan ZhangDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,ChinaView further author information
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Yu-Yu TianDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,ChinaView further author information
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Zi-Long YangDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,China;Graduate School, Guangdong Medical University, Zhanjiang, ChinaView further author information
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Yong-Ming YaoDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,China;Trauma Research Center, First Hospital Affiliated to the Chinese PLA General Hospital, Beijing, ChinaView further author information
&
Yong-Wen FengDepartment of Critical Care Medicine, The Second People’s Hospital of Shenzhen & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen,ChinaCorrespondence[email protected] [email protected]
View further author information
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Pages 94-102 | Received 18 Nov 2018, Accepted 20 Jan 2019, Published online: 27 Feb 2019

Citations (18)

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Dawei Chen, Linglin Jiang, Yan Tan, Jing Zhao, Wenjuan Huang, Binbin Pan & Xin Wan. (2023) Serum Cystatin C within 24 hours after admission: a potential predictor for acute kidney injury in Chinese patients with community acquired pneumonia. Renal Failure 45:1.
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Yang Li, Zhouping Zou, Yunlu Zhang, Bowen Zhu, Yichun Ning, Bo Shen, Chunsheng Wang, Zhe Luo, Jiarui Xu & Xiaoqiang Ding. (2021) Dynamics in perioperative neutrophil-to-lymphocyte*platelet ratio as a predictor of early acute kidney injury following cardiovascular surgery. Renal Failure 43:1, pages 1012-1019.
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Shanhui Ge, Shan Lin, Lishan Zhang & Mian Zeng. (2020) The Association of Red Blood Cell Distribution Width to Platelet Count Ratio and 28-Day Mortality of Patients with Sepsis: A Retrospective Cohort Study. Therapeutics and Clinical Risk Management 16, pages 999-1006.
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Articles from other publishers (15)

Meredith Cox, J.C. Panagides, John Di Capua, Anahita Dua, Sanjeeva Kalva, Jayashree Kalpathy-Cramer & Dania Daye. (2023) An interpretable machine learning model for the prevention of contrast-induced nephropathy in patients undergoing lower extremity endovascular interventions for peripheral arterial disease. Clinical Imaging 101, pages 1-7.
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Shruti GuptaShveta S. MotwaniRobert H. SeitterWei WangYi MuDonald F. ChuteMeghan E. SiseDaniel I. GlazerBernard A. RosnerGary C. Curhan. (2023) Development and Validation of a Risk Model for Predicting Contrast-Associated Acute Kidney Injury in Patients With Cancer: Evaluation in Over 46,000 CT Examinations. American Journal of Roentgenology, pages 1-16.
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Ellen Kurniawati Tungka, Yuyun Widaningsih & Fitriani Mangarengi. (2023) The Analysis of MPV, Plateletcrit, Platelet Distribution Width, and Total Platelets in AKI. INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 29:3, pages 256-261.
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Chao-Yuan Huang, Fabian Güiza, Greet De Vlieger, Pieter Wouters, Jan Gunst, Michael Casaer, Ilse Vanhorebeek, Inge Derese, Greet Van den Berghe & Geert Meyfroidt. (2022) Development and validation of clinical prediction models for acute kidney injury recovery at hospital discharge in critically ill adults. Journal of Clinical Monitoring and Computing 37:1, pages 113-125.
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Adam Corken, Jerry Ware, Junqiang Dai, John M. Arthur, Susan Smyth, Clayton L. Davis, Juan Liu, Terry O. Harville, Milind A. Phadnis, Jawahar L. Mehta, Yasir Rahmatallah & Nishank Jain. (2022) Platelet-Dependent Inflammatory Dysregulation in Patients with Stages 4 or 5 Chronic Kidney Disease: A Mechanistic Clinical Study. Kidney360 3:12, pages 2036-2047.
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li Tong, Yan-Qiong Liu, Jin Hua Shen, Min B O, Quan Zhou, Xiang-Jie Duan, Ya Fen Guo & Xue Qing Zhang. (2022) Relationship between the red cell distribution width-to-platelet ratio and in-hospital mortality among critically ill patients with acute myocardial infarction: a retrospective analysis of the MIMIC-IV database. BMJ Open 12:9, pages e062384.
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Mei Wang, Ping Yan, Ning-Ya Zhang, Ying-Hao Deng, Xiao-Qin Luo, Xiu-Fen Wang & Shao-Bin Duan. (2022) Prediction of Mortality Risk After Ischemic Acute Kidney Injury With a Novel Prognostic Model: A Multivariable Prediction Model Development and Validation Study. Frontiers in Medicine 9.
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Qi Xin, Tonghui Xie, Rui Chen, Xing Zhang, Yingmu Tong, Hai Wang, Shufeng Wang, Chang Liu & Jingyao Zhang. (2022) A Predictive Model Based on Inflammatory and Coagulation Indicators for Sepsis-Induced Acute Kidney Injury. Journal of Inflammation Research Volume 15, pages 4561-4571.
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Yu-Ching Chen, Yaw-Tzeng Liou, Wei-Hsuan Tsai & Lee-Wei Chen. (2022) Prognostic Role of Subsequent Thrombocytopenia in Necrotizing Fasciitis Without Liver Disease. Annals of Plastic Surgery 88:1s, pages S99-S105.
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Jiayuan Wu, Liutao Huang, Hairong He, Yumei Zhao, Dongdong Niu & Jun Lyu. (2022) Red Cell Distribution Width to Platelet Ratio Is Associated with Increasing In-Hospital Mortality in Critically Ill Patients with Acute Kidney Injury. Disease Markers 2022, pages 1-9.
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Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Yuanfang Ren, Matthew M. Ruppert & Azra Bihorac. (2021) Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury. Current Opinion in Critical Care 27:6, pages 560-572.
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Xiaoming Sheng, Yang Yang, JiaJia Liu, Junbo Yu, Qingsong Guo, Wei Guan & Fan Liu. (2021) Ophiopogonin A Alleviates Hemorrhagic Shock-Induced Renal Injury via Induction of Nrf2 Expression. Frontiers in Physiology 11.
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Guang Fu, Hai-chao Zhan, Hao-li Li, Jun-fu Lu, Yan-hong Chen, Le-feng Wu, Zi-Long Yang, Jia-jia Huang, Yong-wen Feng, Ying-yi Luan & Ming Wu. (2021) Association between Procalcitonin and Acute Kidney Injury in Patients with Bacterial Septic Shock. Blood Purification 50:6, pages 790-799.
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Lin‐Qiang Tian, Zhi‐Hao Guo, Wei‐Zheng Meng, Long Li, Yue Zhang, Xiao‐Hang Yin, Feng Lai, Yan‐Yan Li, Li‐Li Feng, Fang‐Fang Shen, Zhen‐Zhou Sun, San‐Qiao Yao, Wei‐Dong Wu, Xiao‐Gang Weng & Wen‐Jie Ren. (2020) The abnormalities of coagulation and fibrinolysis in acute lung injury caused by gas explosion. The Kaohsiung Journal of Medical Sciences 36:11, pages 929-936.
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Lei Lei, Ying Wang, Qiong Xue, Jianhua Tong, Cheng-Mao Zhou & Jian-Jun Yang. (2020) A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection. PeerJ 8, pages e8583.
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