Blood Transfusion Database for Pediatric Congenital Heart Disease Surgery

This dataset contains perioperative data from 3,342 pediatric patients undergoing congenital heart disease surgery. Variables include demographics (age, gender, weight), preoperative laboratory values (hemoglobin, hematocrit, platelet count, coagulation parameters, liver function tests), surgical complexity (Aristotle Score), cardiopulmonary bypass use, and intraoperative blood transfusion volumes (RBC, plasma, platelets). The transfusion rates were 17.7% for RBC, 31.3% for plasma, and 2.0% for platelets. Missing values are denoted by "/". This data supports the development of machine learning models for predicting blood transfusion requirements in pediatric cardiac surgery. Missing data primarily occurred in coagulation parameters (PT, APTT) and some laboratory values that were not routinely measured in all patients. This study was approved by the Institutional Review Board. The requirement for informed consent was waived due to the retrospective nature of the study. All data were de-identified to protect patient privacy. This dataset is associated with the manuscript: "Machine Learning-Based Prediction of Blood Transfusion in Pediatric Congenital Heart Surgery: A Novel Framework for Unified Comparison"本数据集收录了3342名接受先天性心脏病手术的儿科患者的围手术期数据。所涵盖的变量包括人口统计学信息（年龄、性别、体重）、术前实验室检测指标（血红蛋白、血细胞比容、血小板计数、凝血参数、肝功能检测项目）、手术复杂程度（Aristotle评分（Aristotle Score））、体外循环（cardiopulmonary bypass）使用情况，以及术中红细胞（RBC）、血浆、血小板的输注量。其中红细胞输注率为17.7%，血浆输注率为31.3%，血小板输注率为2.0%。缺失值以“/”标记。本数据集可用于开发机器学习模型，以预测儿科心脏手术中的输血需求。缺失数据主要集中于凝血参数（凝血酶原时间（PT）、活化部分凝血活酶时间（APTT））以及部分并非所有患者均常规检测的实验室指标。本研究已通过伦理审查委员会（Institutional Review Board）批准。鉴于本研究为回顾性研究，故豁免了知情同意要求。所有数据均已完成去标识化处理，以保护患者隐私。 本数据集关联的学术论文为：《基于机器学习的儿科先天性心脏病手术输血预测：统一比较的新型框架》