{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T01:08:25Z","timestamp":1791940105183,"version":"4.3.4"},"reference-count":0,"publisher":"S. Karger AG","issue":"3","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cardiorenal Med"],"published-print":{"date-parts":[[2022]]},"abstract":"<jats:p>&lt;b&gt;&lt;i&gt;Introduction:&lt;\/i&gt;&lt;\/b&gt; Postoperative acute kidney injury (AKI) occurs in 20\u201340% 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. &lt;b&gt;&lt;i&gt;Methods:&lt;\/i&gt;&lt;\/b&gt; 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\u2019s procedure. Statistical comparison for the collected data was done with Student\u2019s &lt;i&gt;t&lt;\/i&gt; test or Mann-Whitney U test (continuous variables) and \u03c7&lt;sup&gt;2&lt;\/sup&gt; 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). &lt;b&gt;&lt;i&gt;Results:&lt;\/i&gt;&lt;\/b&gt; 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. &lt;b&gt;&lt;i&gt;Conclusions:&lt;\/i&gt;&lt;\/b&gt; 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. <\/jats:p>","DOI":"10.1159\/000524907","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T21:00:31Z","timestamp":1655931631000},"page":"117-130","source":"Crossref","is-referenced-by-count":12,"title":["Prediction of Acute Kidney Injury for Acute Type A Aortic Dissection Patients Who Underwent Sun\u2019s Procedure by a Perioperative Nomogram"],"prefix":"10.1159","volume":"12","author":[{"given":"Yuhui","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongrong","family":"Lan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongyun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingliang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhigang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"127","published-online":{"date-parts":[[2022,6,22]]},"container-title":["Cardiorenal Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/524907","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/524907","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T14:58:03Z","timestamp":1745420283000},"score":1,"resource":{"primary":{"URL":"https:\/\/karger.com\/article\/doi\/10.1159\/000524907"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,9,5]]}},"URL":"https:\/\/doi.org\/10.1159\/000524907","archive":["Portico"],"relation":{},"ISSN":["1664-3828","1664-5502"],"issn-type":[{"value":"1664-3828","type":"print"},{"value":"1664-5502","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}