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Construction of a prediction model for the risk of hospital-acquired infections after Stanford type A aortic dissection surgery
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Xujing WANG1, Shuhui WANG2, 3, Jing ZHENG1, Guixia LI1, Shanshan LYU1
Chinese Nursing Research | 2026, 40(15) : 2629 - 2636
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Chinese Nursing Research | 2026, 40(15): 2629-2636
• Original Articles •
Construction of a prediction model for the risk of hospital-acquired infections after Stanford type A aortic dissection surgery
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Xujing WANG1, Shuhui WANG2, 3, Jing ZHENG1, Guixia LI1, Shanshan LYU1
Affiliations
  • 1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong 250021 China
  • 2Qilu Hospital, Shandong University
  • 3School of Nursing and Rehabilitation, Shandong University
Published: 2026-08-10 doi: 10.12102/j.issn.1009-6493.2026.15.007
Outline
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Objective

To construct a Nomogram prediction model for the risk of postoperative hospital-acquired infection in patients with Stanford type A aortic dissection,so as to enable the early identification of high-risk individuals.

Methods

Clinical data were retrospectively collected from 412 patients with Stanford type A aortic dissection who underwent surgical treatment at Qilu Hospital of Shandong University from January 2019 to December 2023.LASSO regression and multivariate logistic regression analyses were employed to identify risk factors for postoperative hospital-acquired infection.A Nomogram prediction model for hospital-acquired infection risk was subsequently constructed.The model's performance was evaluated using the concordance index and bootstrap-corrected C-index,the area under the receiver operating characteristic curve(AUC),calibration curves,decision curve analysis, and clinical impact curve analysis.

Results

Postoperative hospital-acquired infections occurred in 61 of the 412 patients(14.81%).Logistic regression analysis revealed that pleural effusion,indwelling nasogastric tube,length of ICU stay,duration of mechanical ventilation,and hypoalbuminemia were significant risk factors for postoperative hospital-acquired infection.The Nomogram yielded an AUC of 0.837(95%CI 0.773-0.901),with a C-index of 0.837 and a bootstrap-corrected C-index of 0.829.The calibration curve demonstrated good agreement between predicted probabilities and actual observations. Decision curve analysis and clinical impact curve analysis indicated favorable clinical utility and net benefit.

Conclusions

Pleural effusion,indwelling nasogastric tube,length of ICU stay,duration of mechanical ventilation,and hypoalbuminemia are significant predictors of postoperative hospital-acquired infection in patients undergoing surgery for Stanford type A aortic dissection.The Nomogram prediction model based on these variables could help clinical workers identify high-risk patients early,and take timely control measures to reduce infection risk.

Stanford type A aortic dissection  /  hospital-acquired infection  /  influencing factors  /  predictive model  /  Nomogram
王续晶, 王书会, 郑静, 李桂霞, 吕珊珊. Stanford A型主动脉夹层病人术后医院感染风险预测模型的构建. 护理研究, 2026 , 40 (15) : 2629 -2636 . DOI: 10.12102/j.issn.1009-6493.2026.15.007
Xujing WANG, Shuhui WANG, Jing ZHENG, Guixia LI, Shanshan LYU. Construction of a prediction model for the risk of hospital-acquired infections after Stanford type A aortic dissection surgery[J]. Chinese Nursing Research, 2026 , 40 (15) : 2629 -2636 . DOI: 10.12102/j.issn.1009-6493.2026.15.007
Year 2026 volume 40 Issue 15
37
12
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Article Info
doi: 10.12102/j.issn.1009-6493.2026.15.007
  • Receive Date:2025-08-05
  • Online Date:2026-10-30
  • Published:2026-08-10
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History
  • Received:2025-08-05
  • Revised:2026-05-08
Affiliations
    1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong 250021 China
    2Qilu Hospital, Shandong University
    3School of Nursing and Rehabilitation, Shandong University
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表12种不同金属材料的力学参数
科
Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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