ArticleBMC cardiovascular disorders2021
Risk factors and in-hospital mortality of postoperative hyperlactatemia in patients after acute type A aortic dissection surgery.
Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Laboratory signatures differentiate the tolerance to hypothermic circulatory arrest in acute type A aortic dissection surgery.Interactive cardiovascular and thoracic surgery · 2022Trial
- Dynamic Lactate Level: An Effective Predictor of Short-Term Mortality After Type A Aortic Dissection Surgery.Reviews in cardiovascular medicine · 2026Article
- Predictive Value of Normalized Lactate Load for Patients with Acute Type A Aortic Dissection: Based on the MIMIC-IV Database.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2025Article
- Preoperative arterial lactate and outcome after surgery for type A aortic dissection: The ERTAAD multicenter study.Heliyon · 2023Article
- Nadir oxygen delivery during cardiopulmonary bypass in acute type A aortic dissection repair.Journal of thoracic disease · 2023Article
- Risk factors for postoperative acute kidney injury in overweight patients with acute type A aortic dissection.Journal of cardiothoracic surgery · 2023Article
- Construction of a lactate-related prognostic signature for predicting prognosis after surgical repair for acute type a aortic dissection.Frontiers in physiology · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHyperlactatemia may be caused by increased production due to tissue hypoxia or non-hypoxia. The aim of this study was first to identify risk factors for postoperative hyperlactatemia (POHL) after Stanford type A acute aortic dissection surgery (AADS) and construct a predictive model, and second to evaluate the impact of POHL on prognosis.
methodsThis retrospective study involved patients undergoing AADS from January 2016 to December 2019 in Wuhan Union Hospital. Multivariate logistic regression analysis was performed to identify independent risk factors for POHL. A nomogram predicting POHL was established based on these factors and was validated in the original dataset. The receiver operating characteristic curve was drawn to assess the ability of postoperative lactate levels to predict the in-hospital mortality.
resultsA total of 188 patients developed POHL after AADS (38.6%). Male gender, surgery history, red blood cell transfusion and cardiopulmonary bypass time were identified as independent predictors. The C-index of the prediction model for POHL was 0.72, indicating reasonable discrimination. The model was well calibrated by visual inspection and goodness-of-fit test (Hosmer-Lemeshow χ
conclusionWe developed and validated a prediction model for POHL in patients undergoing AADS, which may have clinical utility in personal risk evaluation and preventive interventions. The POHL could be a good predictor for in-hospital mortality.
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