ArticleClinical medicine (London, England)2022
Blood loss during liver transplantation is a predictor of postoperative thrombosis.
Article in Clinical medicine (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 4 citations in OpenAlex.
- Development and internal validation of a nomogram for early prediction of deep vein thrombosis after liver transplantation: an exploratory machine-learning comparison.Frontiers in medicine · 2026Article
- Interpretable machine learning model for early complication prediction after split liver transplantation.World journal of gastroenterology · 2025Article
- [Research progress on predictive models of portal vein thrombosis in liver cirrhosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025Review
- Predictive role of laboratory assessments and interval radiological imaging in adverse thrombohemorrhagic outcomes in living donor liver transplantation.Quantitative imaging in medicine and surgery · 2025Article
- Article
- [Application Value of Novel Coagulation Markers in Predicting Postoperarative Complications in the Early Stage After Liver Transplantation].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Article
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Authors and funding
8 authors at 1 institution in 1 country.
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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.
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