{"title":"改良三支支架置入术围术期Nomogram预测急性A型主动脉夹层患者术后急性肾损伤危险因素的回顾性研究","authors":"Fan Xu, Linfeng Xie, Jian He, Qingsong Wu, Xinfan Lin, Yunnan Hu, Liangwan Chen","doi":"10.1155/2023/3220929","DOIUrl":null,"url":null,"abstract":"Objective. Predicting risk factors for acute kidney injury (AKI) after total arch replacement via modified triple-branched stent graft (MTBSG) implantation in patients with acute type A aortic dissection (AAAD) by conducting a nomogram. Methods. We collected the clinical data of 254 patients with AAAD who underwent MTBSG implantation surgery in our center. The independent risk factors of postoperative AKI were screened by univariate and multivariate logistic regression analysis and combined into a nomogram. We use receiver operating characteristic (ROC) curves, decision curve analysis (DCA), clinical impact curve (CIC), and calibration plots to evaluate the accuracy of the nomogram model. Results. Multiple logistic regression analysis showed that the risk factors of AKI after MTBSG implantation were age, malperfusion syndrome, preoperative serum creatinine, cardiopulmonary bypass time, and amount of red blood cell (RBC) transfusion. Based on these five risk factors, we established a nomogram model. The good accuracy and clinical applicability of the model were verified by drawing ROC curve (area under the curve (AUC) = 0.854), DCA curve, CIC curve, and calibration curve. Conclusions. Using perioperative clinical data to establish a nomogram model of AKI in patients with AAAD who received MTBSG implantation can be used as a tool to predict the occurrence of AKI after operation.","PeriodicalId":15367,"journal":{"name":"Journal of Cardiac Surgery","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of Postoperative Acute Kidney Injury Risk Factors for Acute Type A Aortic Dissection Patients after Modified Triple-Branched Stent Graft Implantation by a Perioperative Nomogram: A Retrospective Study\",\"authors\":\"Fan Xu, Linfeng Xie, Jian He, Qingsong Wu, Xinfan Lin, Yunnan Hu, Liangwan Chen\",\"doi\":\"10.1155/2023/3220929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective. Predicting risk factors for acute kidney injury (AKI) after total arch replacement via modified triple-branched stent graft (MTBSG) implantation in patients with acute type A aortic dissection (AAAD) by conducting a nomogram. Methods. We collected the clinical data of 254 patients with AAAD who underwent MTBSG implantation surgery in our center. The independent risk factors of postoperative AKI were screened by univariate and multivariate logistic regression analysis and combined into a nomogram. We use receiver operating characteristic (ROC) curves, decision curve analysis (DCA), clinical impact curve (CIC), and calibration plots to evaluate the accuracy of the nomogram model. Results. Multiple logistic regression analysis showed that the risk factors of AKI after MTBSG implantation were age, malperfusion syndrome, preoperative serum creatinine, cardiopulmonary bypass time, and amount of red blood cell (RBC) transfusion. Based on these five risk factors, we established a nomogram model. The good accuracy and clinical applicability of the model were verified by drawing ROC curve (area under the curve (AUC) = 0.854), DCA curve, CIC curve, and calibration curve. Conclusions. Using perioperative clinical data to establish a nomogram model of AKI in patients with AAAD who received MTBSG implantation can be used as a tool to predict the occurrence of AKI after operation.\",\"PeriodicalId\":15367,\"journal\":{\"name\":\"Journal of Cardiac Surgery\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cardiac Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/3220929\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiac Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/3220929","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Prediction of Postoperative Acute Kidney Injury Risk Factors for Acute Type A Aortic Dissection Patients after Modified Triple-Branched Stent Graft Implantation by a Perioperative Nomogram: A Retrospective Study
Objective. Predicting risk factors for acute kidney injury (AKI) after total arch replacement via modified triple-branched stent graft (MTBSG) implantation in patients with acute type A aortic dissection (AAAD) by conducting a nomogram. Methods. We collected the clinical data of 254 patients with AAAD who underwent MTBSG implantation surgery in our center. The independent risk factors of postoperative AKI were screened by univariate and multivariate logistic regression analysis and combined into a nomogram. We use receiver operating characteristic (ROC) curves, decision curve analysis (DCA), clinical impact curve (CIC), and calibration plots to evaluate the accuracy of the nomogram model. Results. Multiple logistic regression analysis showed that the risk factors of AKI after MTBSG implantation were age, malperfusion syndrome, preoperative serum creatinine, cardiopulmonary bypass time, and amount of red blood cell (RBC) transfusion. Based on these five risk factors, we established a nomogram model. The good accuracy and clinical applicability of the model were verified by drawing ROC curve (area under the curve (AUC) = 0.854), DCA curve, CIC curve, and calibration curve. Conclusions. Using perioperative clinical data to establish a nomogram model of AKI in patients with AAAD who received MTBSG implantation can be used as a tool to predict the occurrence of AKI after operation.
期刊介绍:
Journal of Cardiac Surgery (JCS) is a peer-reviewed journal devoted to contemporary surgical treatment of cardiac disease. Renown for its detailed "how to" methods, JCS''s well-illustrated, concise technical articles, critical reviews and commentaries are highly valued by dedicated readers worldwide.
With Editor-in-Chief Harold Lazar, MD and an internationally prominent editorial board, JCS continues its 20-year history as an important professional resource. Editorial coverage includes biologic support, mechanical cardiac assist and/or replacement and surgical techniques, and features current material on topics such as OPCAB surgery, stented and stentless valves, endovascular stent placement, atrial fibrillation, transplantation, percutaneous valve repair/replacement, left ventricular restoration surgery, immunobiology, and bridges to transplant and recovery.
In addition, special sections (Images in Cardiac Surgery, Cardiac Regeneration) and historical reviews stimulate reader interest. The journal also routinely publishes proceedings of important international symposia in a timely manner.