基于数据挖掘的深静脉血栓形成动物模型建立与分析

Establishment and analysis of deep vein thrombosis animal models based on data mining

目的探讨深静脉血栓形成(deep venous thrombosis,DVT)动物模型建立的要素,提高造模成功率,为深静脉血栓形成的研究提供规范化的动物模型。方法以中国知网、万方数据库、维普数据库、PubMed数据库收录的期刊文献为资料来源,以动物模型的应用、实验动物种类、造模的方法、检测指标为分类依据建立数据库,使用SPSS Modeler 18.0、SPSS Statistics 22.0软件对导入的数据进行关联规则分析和因子分析。结果对纳入的246篇符合标准的文献数据进行分析,造模主要用于DVT机制研究,实验动物使用雄性C57BL/6小鼠最多,通常运用下腔静脉结扎法造模,检测最多的指标为血栓质量/长度。通过关联规则及因子分析得出4组关联强度高的检测指标,并提取10个公因子。结论结合现代信息技术,将实验动物模型的关键指标数据进行更深层次的整合与分析,有助于建立更加科学、标准化的动物模型,对进一步探究DVT的发病机制及治疗方法具有重要意义。

Objective To discuss the elements of the establishment of deep vein thrombosis(DVT) animal models, aiming to improve the success rate of model building and provide a standard animal model for the study of DVT. Methods With the help of the journal literatures included in CNKI, Wanfang data, VIP database and PubMed database as data sources to collect information. The database was established according to the application of models, experimental animal types, modeling methods, detection indicators. By using SPSS Modeler 18.0, SPSS Statistics 22.0 software to perform association rule analysis and factor analysis on the imported data. Results The data of 246 articles that met the criteria were analyzed. Modeling was widely used in the formation mechanism of DVT. Most of animal types were male C57 BL/6 rats. The inferior vena cava ligation method was commonly used to create a model. The most frequently detected indicators were thrombus mass/length. Through association rules and factor analysis, four sets of detection indicators with high association strength were obtained, and 10 common factors were extracted. Conclusion This study used modern information technology to conduct deeper integration and analysis of key indicator data of animal models, which could contribute to the establishment of a more scientific and standardized animal model. It is of great significance to further explore the pathogenesis and treatment of DVT.