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已发表论文
基于 LASSO 回归开发预测腹主动脉瘤患者腔内修复术后结局的列线图
Authors Yu F , Shen D, Lv Y, Zhang G, Yuan P, Cao C, Yang Y, Tang J, Zhang J
Received 31 August 2024
Accepted for publication 18 July 2025
Published 28 November 2025 Volume 2025:20 Pages 2241—2253
DOI https://doi.org/10.2147/CIA.S493841
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Zhi-Ying Wu
Fengyi Yu,1– 4,* Dexin Shen,5,* Yan Lv,1– 4 Ge Zhang,1– 4 Peiyu Yuan,1– 4 Chenxi Cao,1– 4 Yu Yang,1– 4 Junnan Tang,1– 4 Jinying Zhang1– 4
1Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 2Henan Province Key Laboratory of Cardiac Injury and Repair, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 3Henan Province Clinical Research Center for Cardiovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 4Henan Key Laboratory of Chronic Disease Prevention and Therapy & Intelligent Health Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 5Department of Intensive Care Unit, Joint Logistics Force No. 988 Hospital, Zhengzhou, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Junnan Tang, Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China, Email fcctangjn@zzu.edu.cn Jinying Zhang, Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China, Email jyzhang@zzu.edu.cn
Introduction: This study aimed to develop a prognostic model to predict outcomes in patients undergoing endovascular aneurysm repair (EVAR) for abdominal aortic aneurysms (AAA).
Methods: 304 participants were divided into training and validation sets in a 7:3 ratio. Six risk factors were identified using LASSO regression, univariate, and multivariate Cox regression analyses: history of stroke, CIA atherosclerosis, age, hemoglobin levels, monocyte count, and large AAA. A nomogram was constructed to predict 1-year and 3-year all-cause mortality (ACM).
Results: A total of 304 AAA patients who underwent EVAR were included in this study (84.87% male; median age 72 [IQR: 65– 77] years). The model showed good predictive performance, with area under the curve (AUC) values of 0.84 (95% CI: 0.79– 0.89) and 0.81 (95% CI: 0.76– 0.86) for 1-year and 3-year mortality in the training set, and 0.71 (95% CI: 0.62– 0.80) and 0.80 (95% CI: 0.73– 0.87) in the validation set.
Discussion: These results suggest the model’s effectiveness in aiding clinicians with risk stratification and tailoring treatment strategies for post-EVAR patients.
Keywords: abdominal aortic aneurysm, prognosis, endovascular aneurysm repair, nomogram
1Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 2Henan Province Key Laboratory of Cardiac Injury and Repair, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 3Henan Province Clinical Research Center for Cardiovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 4Henan Key Laboratory of Chronic Disease Prevention and Therapy & Intelligent Health Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 5Department of Intensive Care Unit, Joint Logistics Force No. 988 Hospital, Zhengzhou, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Junnan Tang, Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China, Email fcctangjn@zzu.edu.cn Jinying Zhang, Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China, Email jyzhang@zzu.edu.cn
Introduction: This study aimed to develop a prognostic model to predict outcomes in patients undergoing endovascular aneurysm repair (EVAR) for abdominal aortic aneurysms (AAA).
Methods: 304 participants were divided into training and validation sets in a 7:3 ratio. Six risk factors were identified using LASSO regression, univariate, and multivariate Cox regression analyses: history of stroke, CIA atherosclerosis, age, hemoglobin levels, monocyte count, and large AAA. A nomogram was constructed to predict 1-year and 3-year all-cause mortality (ACM).
Results: A total of 304 AAA patients who underwent EVAR were included in this study (84.87% male; median age 72 [IQR: 65– 77] years). The model showed good predictive performance, with area under the curve (AUC) values of 0.84 (95% CI: 0.79– 0.89) and 0.81 (95% CI: 0.76– 0.86) for 1-year and 3-year mortality in the training set, and 0.71 (95% CI: 0.62– 0.80) and 0.80 (95% CI: 0.73– 0.87) in the validation set.
Discussion: These results suggest the model’s effectiveness in aiding clinicians with risk stratification and tailoring treatment strategies for post-EVAR patients.
Keywords: abdominal aortic aneurysm, prognosis, endovascular aneurysm repair, nomogram