The easy-to-use model aims to predict the probability of perioperative blood transfusion (PBT) in patients undergoing liver resection for hepatocellular carcinoma (HCC). This online tool can be useful in clinical practice by offering information about the host, tumor, and surgery.
This prediction tool also known as nomogram is based on data from liver resection for HCC study project participated by several major medical centers in China. American Society of Anesthesiologists(ASA) score, cirrhosis, preoperative hemoglobin level, preoperative international normalized ratio(INR), preoperative total bilirubin level, maximum tumor size, tumor number and planned extent of hepatectomy were incorporated as eight parameters in the model to predict the risk of perioperative blood transfusion in liver resection for hepatocellular carcinoma (HCC). In this way, physicians could facilitate individualized decision making, and ensure the moderation and safety of clinical use of blood.
The model was developed using data from 878 patients at the Eastern Hepatobiliary Surgery Hospital of Shanghai. 691 patients at Tongji Hospital of Wuhan, and 364 patients at two Euromerican hospitals (University of Bologna, Italy; Mount Sinai Hospital of New York, America) were served as the Eastern and Western external validation cohorts, respectively.
The results obtained are for reference only. Patients and caregivers using this tool should discuss the result with the patient’s physician.
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