biostudies-literatureZhang XMedical and Health Technology Project of HangzhouZhejiang Provincial Medical and Health Technology Project243https://www.ebi.ac.uk/biostudies/studies/S-EPMC12080177biostudies-literatureUnknown26(1)<h4>Background</h4>Stress-induced hyperglycemia (SIH) is a common phenomenon in acute myocardial infarction and is associated with poor prognosis. The relationship between glycemic gap (GG), a marker of SIH, and ST-segment elevation myocardial infarction (STEMI)-associated acute kidney injury (STAAKI) remains unclear. This study aims to explore the predictive value of GG for the risk of STAAKI after percutaneous coronary intervention (PCI) in STEMI patients.<h4>Methods</h4>This study retrospectively selected patients diagnosed with STEMI who underwent primary PCI. Logistic regression analysis was used to identify the risk factors associated with STAAKI. To examine the dose-response relationship between GG and STAAKI, restricted cubic splines (RCS) were employed. The predictive accuracy of BMC nephrologyPrognostic value of glycemic gap in ST-segment elevation myocardial infarction-associated acute kidney injury.PMC120801772024KY1447B20231533Li YLuo ZZhang XWu SYang QXu JSong YfalsePrognostic value of glycemic gap in ST-segment elevation myocardial infarction-associated acute kidney injury.<h4>Background</h4>Stress-induced hyperglycemia (SIH) is a common phenomenon in acute myocardial infarction and is associated with poor prognosis. The relationship between glycemic gap (GG), a marker of SIH, and ST-segment elevation myocardial infarction (STEMI)-associated acute kidney injury (STAAKI) remains unclear. This study aims to explore the predictive value of GG for the risk of STAAKI after percutaneous coronary intervention (PCI) in STEMI patients.<h4>Methods</h4>This study retrospectively selected patients diagnosed with STEMI who underwent primary PCI. Logistic regression analysis was used to identify the risk factors associated with STAAKI. To examine the dose-response relationship between GG and STAAKI, restricted cubic splines (RCS) were employed. The predictive accuracy of 2025-01-01T00:00:00Z2025 May2026-06-06T16:13:12.985Z2026-06-02T03:11:33.044ZS-EPMC120801774037516810.1186/s12882-025-04167-3