The predictive value of eGFR combined with BNP detection in acute kidney injury after acute myocardial infarction

Abstract

Objective: The combined detection of eGFR and BNP may provide some value in predicting the occurrence of AKI after AMI, and the study is designed to propose and validate this hypothesis. Methods: In retrospective research, AMI patients hospitalized at Weifang People's Hospital from January to December 2020 were included. Whether AKI occurred within a week of admission, patients were divided into two groups. Clinical data from two groups of patients were collected, and the Logistic regression model analysed the risk factors for AKI after AMI. The association between eGFR and BNP was analysed using Pearson linear correlation. The predictive value of eGFR and BNP alone and combined detection on AKI after AMI was analysed using the receiver operating characteristic (ROC) curve. Results: Multivariate logistic regression showed that eGFR, BNP, HDLC, UA, and K ions were AKI risk factors (P < 0.05). The eGFR correlates negatively with BNP (R = -0.324, P < 0.05). The area under the curve (AUC) of eGFR and BNP alone and combined prediction for post-AMI AKI were 0.793, 0.826, and 0.831, respectively. Conclusion: The combined detection of eGFR and BNP has a high predictive value for AKI development in AMI patients. Keywords: AMI; AKI; eGFR; BNP; predictive value.