ArticleFrontiers in medicine2024
High perioperative lactate levels as a potential predictor for severe acute kidney injury following aortic arch surgery.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Lactate in acute kidney injury: pathobiology, risk stratification, and clinical interpretation.Renal failure · 2026Review
- Dynamic Lactate Measurements Serve as an Effective Marker to Predict Short-Term Postoperative Outcomes in Patients Who Undergo Surgery for Acute Type A Aortic Dissection.Reviews in cardiovascular medicine · 2026Article
- Integration of intraoperative data in interpretable machine learning models to predict postoperative AKI in noncardiac surgery patients.JAMIA open · 2026Article
- Dynamic Lactate Level: An Effective Predictor of Short-Term Mortality After Type A Aortic Dissection Surgery.Reviews in cardiovascular medicine · 2026Article
- Aortic Arch and Frozen Elephant Trunk Surgery: Anesthetic Challenges and Strategies for Organ Protection.Journal of clinical medicine · 2026Review
- Utilization of lactate trajectory models for predicting acute kidney injury and mortality in patients with hyperlactatemia: insights across three independent cohorts.Renal failure · 2025Article
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Authors and funding
11 authors.
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Abstract
Background: Acute type A aortic dissection (ATAAD) is a life-threatening condition that often requires total aortic arch replacement (TAR) combined with frozen elephant trunk (FET) implantation. Despite advancements in surgical techniques and preoperative management, postoperative acute kidney injury (AKI) remains a prevalent complication that significantly affects patient prognosis, particularly severe AKI. The aim of this study was to investigate the predictive value of perioperative lactate levels in severe postoperative AKI after TAR. Methods: A cohort analysis of 328 patients who underwent TAR with frozen elephant trunk implantation at Xijing Hospital, Xi'an, China, between September 2019 and September 2023 was conducted. Patients were categorized according to AKI severity into non-AKI, mild-AKI, and severe-AKI cohorts, and lactate levels were measured at nine perioperative time points. The primary endpoint was severe AKI (Kidney Disease: Improving Global Outcomes stage 3). Uni-and multivariate logistic regression analyses were performed to identify risk factors for severe AKI. Subgroup analysis substantiated the robustness of lactate levels in predicting severe AKI. Results: In total, 45.4% of patients developed mild AKI postoperatively and 20.7% developed severe AKI. Patients with severe postoperative AKI exhibited higher preoperative lactate levels. Multivariate stepwise backward logistic regression analysis identified lactate levels at 12 h postoperatively ([Lac Conclusion: Among patients with acute type A aortic dissection undergoing TAR, high perioperative lactate levels were closely associated with postoperative AKI. Lac
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