{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T09:00:17Z","timestamp":1790586017920,"version":"4.1.0"},"reference-count":28,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Echocardiography"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Kidney transplantation (KT) is optimal therapy for end\u2010stage renal disease (ESRD), yet cardiovascular events (CVEs) are the top cause of morbidity and mortality in transplant recipients. We aimed to build a preoperative transthoracic echocardiography (TTE)\u2010based predictive model combined with clinical and laboratory indicators to stratify post\u2010transplant cardiovascular risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This single\u2010center cohort enrolled 547 ESRD patients receiving KT from 2021 to 2022. Preoperative TTE, clinical and lab data were collected, with 1\u2010year post\u2010transplant CVEs as the primary endpoint. LASSO and multivariate logistic regression screened independent risk factors; ROC, calibration curves and decision curve analysis (DCA) validated model performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Overall 17.55% (96\/547) patients developed 1\u2010year CVEs. Interventricular septal thickness at end\u2010diastole (IVSTd), pulmonary hypertension (PH), aortic valve calcification (AVC) and diabetes history were independent risk factors. The training set AUC reached 0.776 (sensitivity 61.8%, specificity 79.4%, 95%CI 0.711\u20130.841), and the testing set AUC was 0.749 (95%CI 0.618\u20130.880). Calibration curves showed favorable consistency, and DCA proved stable clinical net benefit within the 7%\u201368% threshold range.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>One\u2010year post\u2010transplant CVE incidence remains high. IVSTd, PH, AVC and diabetes are independent predictors. This TTE\u2010integrated model has reliable discrimination and clinical value for non\u2010invasive cardiovascular risk stratification in KT candidates.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/echo.70633","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T10:11:26Z","timestamp":1789467086000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development of a Preoperative Transthoracic Echocardiography\u2010Based Nomogram for Predicting 1\u2010Year Cardiovascular Events in End\u2010Stage Renal Disease Kidney Transplant Recipients"],"prefix":"10.1111","volume":"43","author":[{"given":"Meishu","family":"Pan","sequence":"first","affiliation":[{"name":"Department of Ultrasound The First Affiliated Hospital of Guangxi Medical University  Nanning China"},{"name":"Department of Ultrasound The Second Affiliated Hospital of Guangxi Medical University  Nanning 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