Development and validation of a nomogram for blood transfusion during intracranial aneurysm clamping surgery: a retrospective analysis

BMC Medical Informatics and Decision Making

卷:23

Research

Liyuan Yu¹  Xihong Ye¹  Xiaopei Li¹  Xingrui Gong¹  Fan Liu¹  Shugen Xiao¹ 

[1] Institute of Brain Disease and Neuroscience, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China;

关键词: Blood transfusion;    Hemoglobin;    Intracranial aneurysm;    Machine learning;    Nomogram;   

DOI  :  10.1186/s12911-023-02157-9

 received in 2022-12-12, accepted in 2023-03-17,  发布年份 2023

来源: Springer

【 摘 要 】

PurposeIntraoperative blood transfusion is associated with adverse events. We aimed to establish a machine learning model to predict the probability of intraoperative blood transfusion during intracranial aneurysm surgery.MethodsPatients, who underwent intracranial aneurysm surgery in our hospital between January 2019 and December 2021 were enrolled. Four machine learning models were benchmarked and the best learning model was used to establish the nomogram, before conducting a discriminative assessment.ResultsA total of 375 patients were included for analysis in this model, among whom 108 received an intraoperative blood transfusion during the intracranial aneurysm surgery. The least absolute shrinkage selection operator identified six preoperative relative factors: hemoglobin, platelet, D-dimer, sex, white blood cell, and aneurysm rupture before surgery. Performance evaluation of the classification error demonstrated the following: K-nearest neighbor, 0.2903; logistic regression, 0.2290; ranger, 0.2518; and extremely gradient boosting model, 0.2632. A nomogram based on a logistic regression algorithm was established using the above six parameters. The AUC values of the nomogram were 0.828 (0.775, 0.881) and 0.796 (0.710, 0.882) in the development and validation groups, respectively.ConclusionsMachine learning algorithms present a good performance evaluation of intraoperative blood transfusion. The nomogram established using a logistic regression algorithm showed a good discriminative ability to predict intraoperative blood transfusion during aneurysm surgery.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

40854_2023_488_Article_IEq32.gif

40854_2023_488_Article_IEq77.gif

40854_2023_488_Article_IEq75.gif

40507_2023_167_Article_IEq334.gif

40854_2023_488_Article_IEq62.gif