Development and validation of a nomogram for postoperative severe acute kidney injury in acute type A aortic dissection.

• DOI: 10.11909/j.issn.1671-5411.2022.10.003
• Publication Date: 2022-10-28
• Authors: Congcong Luo; Yongliang Zhong; Zhiyu Qiao; Chengnan Li; Yongmin Liu; Jun Zheng; Li‐Zhong Sun; Yipeng Ge; Jun‐Ming Zhu
• Keywords: Nomogram; Renal replacement therapy; Univariate analysis

Postoperative acute kidney injury (AKI) is a major complication associated with increased morbidity and mortality after surgery for type A aortic dissection (AAAD). To the best of our knowledge, risk prediction models AKI following AAAD have not been reported. The goal present study was to develop model predict severe surgery.A total 485 patients who underwent were enrolled randomly divided into training cohort (70%) validation (30%). Severe defined as stage III Kidney Disease: Improving Global Outcomes criteria. Preoperative variables, intraoperative variables postoperative data collected analysis. Multivariable logistic regression analysis performed select predictors nomogram in cohort. final validated using bootstrapping techniques cohort.The incidence 23.0% (n = 78), 14.7% 50) needed renal replacement treatment. hospital rate 8.3% 28), while patients, 13.1%, which 20.5% patients. Univariate multivariate analyses showed that age, cardiopulmonary bypass time, serum creatinine, D-dimer key surgery. incorporated these predicting optimal discrimination ability, an area under curve 0.716 0.739 Calibration demonstrated good correlations both cohort.We developed prognostic including effective predictive capability AKI, may help improve stratification poor in-hospital outcomes