scholarly journals Risk factors and in-hospital mortality of postoperative hyperlactatemia in patients after acute type A aortic dissection surgery

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Su Wang ◽  
Dashuai Wang ◽  
Xiaofan Huang ◽  
Hongfei Wang ◽  
Sheng Le ◽  
...  
Keyword(s):  
Risk Factors ◽  
Aortic Dissection ◽  
Hospital Mortality ◽  
Prediction Model ◽  
Clinical Utility ◽  
Type A ◽  
Acute Type ◽  
Goodness Of Fit Test ◽  
Lactate Levels ◽  
The Impact

Abstract Background Hyperlactatemia 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. Methods This 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. Results A 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 χ2 = 10.25, P = 0.25). Decision and clinical impact curves of the model showed good clinical utility. The overall in-hospital mortality rate was 10.1%. Postoperative lactate levels showed a moderate predictive power for postoperative in-hospital mortality (C-index: 0.72). Conclusion We 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.

scholarly journals Peri-operative risk factors for in-hospital mortality in acute type A aortic dissection

2019 ◽  
Vol 11 (9) ◽  
pp. 3887-3895
Author(s):  
Miaoyun Wen ◽  
Yongli Han ◽  
Jingkun Ye ◽  
Gengxin Cai ◽  
Wenxin Zeng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Aortic Dissection ◽  
Hospital Mortality ◽  
Type A ◽  
Operative Risk ◽  
Acute Type ◽  
Type A Aortic Dissection

scholarly journals Incidence- and In-hospital Mortality-Related Risk Factors of Acute Kidney Injury Requiring Continuous Renal Replacement Therapy in Patients Undergoing Surgery for Acute Type a Aortic Dissection

2021 ◽  
Vol 8 ◽  
Author(s):  
Xuelian Chen ◽  
Jiaojiao Zhou ◽  
Miao Fang ◽  
Jia Yang ◽  
Xin Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Replacement Therapy ◽  
Aortic Dissection ◽  
Hospital Mortality ◽  
Continuous Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Type A ◽  
Acute Type ◽  
Type A Aortic Dissection ◽  
Independent Risk Factors

Background: Few studies on the risk factors for postoperative continuous renal replacement therapy (CRRT) in a homogeneous population of patients with acute type A aortic dissection (AAAD). This retrospective analysis aimed to investigate the risk factors for CRRT and in-hospital mortality in the patients undergoing AAAD surgery and to discuss the perioperative comorbidities and short-term outcomes.Methods: The study collected electronic medical records and laboratory data from 432 patients undergoing surgery for AAAD between March 2009 and June 2021. All the patients were divided into CRRT and non-CRRT groups; those in the CRRT group were divided into the survivor and non-survivor groups. The univariable and multivariable analyses were used to identify the independent risk factors for CRRT and in-hospital mortality.Results: The proportion of requiring CRRT and in-hospital mortality in the patients with CRRT was 14.6 and 46.0%, respectively. Baseline serum creatinine (SCr) [odds ratio (OR), 1.006], cystatin C (OR, 1.438), lung infection (OR, 2.292), second thoracotomy (OR, 5.185), diabetes mellitus (OR, 6.868), AKI stage 2–3 (OR, 22.901) were the independent risk factors for receiving CRRT. In-hospital mortality in the CRRT group (46%) was 4.6 times higher than in the non-CRRT group (10%). In the non-survivor (n = 29) and survivor (n = 34) groups, New York Heart Association (NYHA) class III-IV (OR, 10.272, P = 0.019), lactic acidosis (OR, 10.224, P = 0.019) were the independent risk factors for in-hospital mortality in patients receiving CRRT.Conclusion: There was a high rate of CRRT requirement and high in-hospital mortality after AAAD surgery. The risk factors for CRRT and in-hospital mortality in the patients undergoing AAAD surgery were determined to help identify the high-risk patients and make appropriate clinical decisions. Further randomized controlled studies are urgently needed to establish the risk factors for CRRT and in-hospital mortality.

Type A aortic dissection: involvement of carotid artery and impact on cerebral malperfusion

2020 ◽  
pp. 021849232098432
Author(s):  
Wahaj Munir ◽  
Jun Heng Chong ◽  
Amer Harky ◽  
Mohamad Bashir ◽  
Benjamin Adams
Keyword(s):  
Carotid Artery ◽  
Aortic Dissection ◽  
Type A ◽  
Current Evidence ◽  
Management Approach ◽  
Complex Nature ◽  
Acute Type ◽  
Type A Aortic Dissection ◽  
Cerebral Malperfusion ◽  
The Impact

Acute type A aortic dissection is a surgical emergency and management of such pathology can be complex with poor outcomes when there is organ malperfusion. Carotid artery involvement is present in 30% of patients diagnosed with acute type A aortic dissection, and given its emergency and complex nature, there is much controversy regarding the approach, extent of treatment, and timing of the intervention. It is clear that the occurrence of cerebral malperfusion adds an extra layer of complexity to the decision-making framework for treatment. Standardization and validation of the optimal management approach is required, and this should ideally be addressed with large-scale studies. Nonetheless, current literature supports the need for rapid recognition and diagnosis of acute type A aortic dissection with cerebral malperfusion, immediate and extensive surgical repair, and the appropriate use of cerebral perfusion techniques. This paper aims to discuss the current evidence regarding the impact of carotid artery involvement in both the management and outcomes of acute type A aortic dissection.

scholarly journals Risk factors for hypoxemia following surgical repair of acute type A aortic dissection

2016 ◽  
pp. ivw272
Author(s):  
Nan Liu ◽  
Wei Zhang ◽  
Weiguo Ma ◽  
Wei Shang ◽  
Jun Zheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Aortic Dissection ◽  
Surgical Repair ◽  
Type A ◽  
Acute Type ◽  
Type A Aortic Dissection

scholarly journals The Impact of Pre-Operative Malperfusion on Outcome in Acute Type A Aortic Dissection

2015 ◽  
Vol 65 (24) ◽  
pp. 2628-2635 ◽  
Author(s):  
Martin Czerny ◽  
Florian Schoenhoff ◽  
Christian Etz ◽  
Lars Englberger ◽  
Nawid Khaladj ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Type A ◽  
Acute Type ◽  
Type A Aortic Dissection ◽  
The Impact

scholarly journals Preoperative hematological parameters are inadequate for predicting mortality in Stanford Type A aortic dissection repair

2021 ◽  
Vol 5 (2) ◽  
pp. 01-06
Author(s):  
Selim Durmaz ◽  
◽  
Ömer Faruk Rahman ◽  
Keyword(s):  
Risk Factors ◽  
Aortic Dissection ◽  
Roc Analysis ◽  
Circulatory Arrest ◽  
Hematological Parameters ◽  
Demographic Data ◽  
Type A ◽  
Hospital Death ◽  
Acute Type ◽  
Type A Aortic Dissection

Background: Mortality in acute Type A aortic dissection is still high and unpredictable. We aimed to investigate the validity of preoperative hematological markers and possible risk factors in predicting in-hospital mortality in patients operated with deep hypothermic circulatory arrest method. Methods: 78 consecutive patients who were admitted to the emergency service and operated on were retrospectively analyzed. Risk factors for in-hospital death were investigated to develop a predictive model. Results: There was no difference between patients in terms of the were demographic data of the patients. In the mortality group, only preoperative creatinine levels were found to be higher (p < 0.05). Factors affecting mortality were found as total circulatory arrest (TCA) and cross-clamp (X-clamp) times when intraoperative data were examined (p < 0.05). ROC analysis was performed to determine the power to predict mortality and to determine the cut-off point. In ROC analysis to predict mortality, X-Clamp time > 71 minutes, 68.2% sensitivity and 66.1% specificity, TCA > 44.5 minutes, 72.7% sensitivity and 73.2% specificity were found. In the mortality group, these values were found to be significantly higher than those who were discharged. Conclusion: In the surgical treatment of Type A aortic dissection under deep hypothermia, hematologic biomarkers may be insufficient in estimating the risk for mortality. Keywords: Acute; aortic dissection; biomarker; mortality

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