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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
The aim was to determine the long-term renal implications of mild acute kidney injury (AKI) after primary percutaneous coronary intervention (pPCI) and to develop a simple risk-prediction model for renal function decline.
This single-center retrospective cohort study enrolled 1399 patients who underwent pPCI at Zhongshan Hospital, Fudan University, between Jan 2013 and Mar 2021. These patients had preoperative, postoperative, and long-term (follow-up>90 days after procedure) serum creatinine measurements. The exposure (mild AKI post pPCI) and outcome (long-term renal decline) were defined according to the KDIGO guideline. The primary outcome was the association between mild AKI post-pPCI and long-term renal decline.
The incidence of stage 1 AKI was 21% (293/1399). During a median follow-up of 40 months, Kaplan-Meier analysis revealed a significantly higher rate of renal decline in the mild AKI group compared to the non-AKI group. Multivariable Cox regression confirmed that mild AKI was independently associated with an increased risk of long-term renal decline (adjusted HR 3.3, 95% CI 2.65-4.1). A nomogram incorporating eight clinical variables was constructed to predict 1-, 5-, and 10-year probability of renal decline. The model demonstrated good predictive accuracy, with area under the curve (AUC) values of 0.785 in the training set and 0.741 in the test set.
Mild AKI following pPCI is significantly associated with a heightened risk of long-term renal decline. The proposed nomogram offers a practical tool for risk stratification, enabling targeted renal follow-up in high-risk patients.