Cardiorenal medicine · 2022
Prediction of Acute Kidney Injury for Acute Type A Aortic Dissection Patients Who Underwent Sun's Procedure by a Perioperative Nomogram.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Zhang Yuhui, Lan Yongrong, Chen Tongyun, Chen Qingliang, Guo Zhigang, Jiang Nan
Аннотация
INTRODUCTION: Postoperative acute kidney injury (AKI) occurs in 20-40% of acute type A aortic dissection (ATAAD) patients undergoing cardiac surgery. A predictive model could be developed to assess the probability of AKI in patients with ATAAD before and after cardiac surgery in a timely manner.
METHODS: This retrospective study enrolled a total of 224 patients with ATAAD. Patients were subjected to total arch replacement using a tetrafurcate graft with stented elephant trunk implantation according to Sun's procedure. Statistical comparison for the collected data was done with Student's t test or Mann-Whitney U test (continuous variables) and χ2 test (categorical variables). The independent predictors were screened by multivariate logistic regression analysis and then incorporated into a nomogram. The reliability of cardiac surgery-associated AKI (CSA-AKI) models was evaluated using the area under the receiver operating characteristic curve (AUC).
RESULTS: This study enrolled 224 ATAAD patients, including 53 patients with AKI and 171 patients without AKI. The incidence of ATAAD-induced AKI in the cohort was 23.66%. The screened predictors for AKI include iliac artery involvement, creatinine, D-dimer, autotransfusion, platelet-rich plasma reinfusion, nasal temperature, red blood cells, fresh frozen plasma, drainage, and mechanical ventilation. The calculated AUC values for model 1, model 2, model 3, and model 4 were 0.710, 0.777, 0.827, and 0.848, respectively. Model 4 was optimum for AKI risk scoring compared with model 1, model 2, and model 3.
CONCLUSIONS: AKI prediction models were established for ATAAD patients using preoperative, intraoperative, and postoperative information. Particularly, model 4 shows superiority in risk prediction for CSA-AKI.
METHODS: This retrospective study enrolled a total of 224 patients with ATAAD. Patients were subjected to total arch replacement using a tetrafurcate graft with stented elephant trunk implantation according to Sun's procedure. Statistical comparison for the collected data was done with Student's t test or Mann-Whitney U test (continuous variables) and χ2 test (categorical variables). The independent predictors were screened by multivariate logistic regression analysis and then incorporated into a nomogram. The reliability of cardiac surgery-associated AKI (CSA-AKI) models was evaluated using the area under the receiver operating characteristic curve (AUC).
RESULTS: This study enrolled 224 ATAAD patients, including 53 patients with AKI and 171 patients without AKI. The incidence of ATAAD-induced AKI in the cohort was 23.66%. The screened predictors for AKI include iliac artery involvement, creatinine, D-dimer, autotransfusion, platelet-rich plasma reinfusion, nasal temperature, red blood cells, fresh frozen plasma, drainage, and mechanical ventilation. The calculated AUC values for model 1, model 2, model 3, and model 4 were 0.710, 0.777, 0.827, and 0.848, respectively. Model 4 was optimum for AKI risk scoring compared with model 1, model 2, and model 3.
CONCLUSIONS: AKI prediction models were established for ATAAD patients using preoperative, intraoperative, and postoperative information. Particularly, model 4 shows superiority in risk prediction for CSA-AKI.