Intraoperative hemodynamics in prediction of postoperative kidney injury after type a aortic dissection surgery: a retrospective cohort study.

Annals of medicine Pub Date : 2025-12-01 Epub Date: 2025-03-05 DOI:10.1080/07853890.2025.2474859
Lihai Chen, Yi Cheng, Xinyi Bu, Chen Zhang, Jie Sun, Xuesheng Liu, Siyu Kong, Yali Ge, Hongwei Shi, Jifang Zhou
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Abstract

Background: Type A aortic dissection (TAAD) is a severe cardiovascular condition associated with high risks for postoperative complications, particularly renal dysfunction. This study investigated whether intraoperative hypotension and venous congestion are important predictors of postoperative kidney injury and major adverse events.

Methods: We retrospectively analyzed 543 adults undergoing TAAD surgery (2016-2023). Primary outcomes were acute kidney injury (AKI) and acute kidney disease (AKD). Secondary outcomes included death, stroke and composite outcome. Patients were divided into four groups: AKI only, AKD only, AKI and AKD, Non-AKI or AKD. We used restricted cubic spline and multivariate logistic regression models to adjust for confounding factors.

Results: AKI or AKD was significantly associated with each 10-minute epoch of central venous pressure (CVP) ≥10, 12, 16, 20 mmHg (all p < 0.001), with each 60-minute epoch of CVP ≥10, 12, 16, 20 mmHg area under the curve (AUC) (all p < 0.001). Regarding death, a 6% to 13% increase rate for each 10-minute epoch of CVP ≥10, 12, 16, 20 mmHg (all p ≤ 0.003), a 5% to 21% increase for each 60-minute epoch of CVP ≥10, 12, 16, 20 mmHg AUC (all p < 0.001). In terms of stroke risk, a 5% increase rate for every 10-minute increase in the CVP AUC above 16 mmHg, and an 11% increased risk for CVP AUC above 20 mmHg (p = 0.039 and p = 0.031, respectively).

Conclusion: Elevated CVP and lower MAP levels were linked to postoperative AKI and AKD risk. CVP showed stronger associations with mortality and stroke. Optimizing perioperative hemodynamic management may improve individualized interventions.

术中血流动力学对 A 型主动脉夹层手术后肾损伤的预测:一项回顾性队列研究。
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