Analysis of risk factors for neurological complications in patients with Stanford type A aortic dissection
10.3760/cma.j.cn115455-20241128-01043
- VernacularTitle:Stanford A型主动脉夹层患者神经系统并发症的危险因素分析
- Author:
Chuanwen LI
1
;
Qingyan SUN
;
Yanqing GAN
;
Xianqing LI
;
Teng CAI
;
Hongsheng LIU
;
Liangchun NI
;
Zhonghua FEI
Author Information
1. 济宁医学院附属医院心脏外科，济宁 272029
- Publication Type:Journal Article
- Keywords:
Aortic diseases;
Aneurysm, dissecting;
Cerebral perfusion;
Neurological complications
- From:
Chinese Journal of Postgraduates of Medicine
2025;48(7):635-642
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore how one-sided/two-sided brain blood flow affects the occurrence of neurological complications in patients with Stanford type A aortic dissection, as well as to assess the factors that contribute to the development of neurological complications.Methods:A total of 162 patients diagnosed with Stanford type A aortic dissection who had undergone ascending aorta and total aortic arch replacement at Affiliated Hospital of Jining Medical College from August 2020 to December 2023 were retrospectively reviewed. These patients were categorized into two groups based on the presence of postoperative neurological complications: a group with neurological complications comprising 77 cases and a group without neurological complications comprising 85 cases. A comparative analysis was carried out on general clinical data, surgical and brain perfusion characteristics, as well as preoperative test indicators between these two groups in order to investigate the factors influencing the occurrence of postoperative neurological complications in patients with Stanford type A aortic dissection. The data was analyzed using Logistic regression to identify the risk factors associated with postoperative neurological complications and to develop a predictive nomogram model. Calibration curves, receiver operating characteristic (ROC) curves and decision curve (DCA) were generated to assess the accuracy and predictive capability of the nomogram model.Results:In the group of patients who experienced neurological complications, there was a higher prevalence of a history of hypertension, longer operation time, extended periods of cardiopulmonary bypass, cross-clamping, brain perfusion, cooling, and rewarming, as well as increased postoperative drainage volume. Additionally, the levels of preoperative blood urea nitrogen (BUN), creatinine (Cr) and lactic acid (Lac) were elevated compared to those in the non-neurological complications group: 77.9% (60/77) vs. 52.9% (45/85), (409.99 ± 104.26) min vs. (348.29 ± 63.12) min, (223.36 ± 66.86) min vs. (179.25 ± 38.59) min, 112 (94, 133) min vs. 96 (84, 113) min, (35.23 ± 9.89) min vs. (32.14 ± 6.81) min, (82.19 ± 28.69) min vs. (68.76 ± 29.06) min, (79.30 ± 22.60) min vs. (69.54 ± 16.42) min, 806 (529, 1 127) ml vs. 663 (449, 925) ml, 6.78 (5.38, 8.84) mmol/L vs. 6.08 (4.66, 7.76) mmol/L, 86.3 (64.0, 131.9) μmol/L vs. 71.0 (55.6, 84.9) μmol/L, 2.1(1.2, 4.0) mmol/L vs. 1.5 (0.9, 2.3) mmol/L. On the other hand, the percentage of patients who underwent bilateral brain perfusion was lower, and they experienced lower lowest temperature, preoperative platelet count, and ejection fraction levels than those in the non-neurological complications group: 57.1% (44/77) vs. 75.3% (64/85), (25.69 ± 1.04) ℃ vs. (26.04 ± 0.82) ℃, (175.79 ± 58.14) ×10 9/L vs. (213.87 ± 77.29) ×10 9/L, (54.18 ± 3.84)% vs. (55.34 ± 3.56)% ( P<0.05). Multivariate Logistic regression analysis revealed that a prior history of high blood pressure, prolonged cardiopulmonary bypass duration were identified as autonomous risk factors for the development of postoperative neurological issues in individuals with Stanford type A aortic dissection, while simultaneous brain perfusion emerged as an independent protective element ( P<0.05). Subsequently, a predictive nomogram was constructed incorporating these three pivotal factors to assess the likelihood of postoperative neurological complications in patients with Stanford type A aortic dissection. The calibration curve exhibited a noteworthy level of accuracy for the nomogram predictive model ( χ2 = 9.01, P = 0.342). Additionally, the ROC curve analysis displayed an area under the curve of 0.84 (95% CI 0.78 to 0.90) for the nomogram model in predicting postoperative neurological complications in patients with Stanford type A aortic dissection, indicating a high predictive accuracy. Moreover, DCA analysis indicated that the nomogram model provided a net benefit above 0 across the spectrum of 0 to 90%. Conclusions:Postoperative neurological complications in patients with Stanford type A aortic dissection is linked to factors such as a previous history of hypertension, unilateral brain perfusion, an extended cardiopulmonary bypass duration. By developing a nomogram model that incorporates these factors, it becomes feasible to accurately forecast the likelihood of postoperative neurological complications in this patient population. This predictive tool holds significant value in facilitating proactive clinical risk evaluation and preventive measures.
