Atherogenic index of plasma predicts slow flow and no-reflow after emergency PCI in acute myocardial infarction
Investigators conducted a retrospective analysis of 964 patients with acute myocardial infarction undergoing emergency percutaneous coronary intervention to evaluate the predictive value of the atherogenic index of plasma (AIP) for post-procedural slow flow or no-reflow. The study reports that elevated AIP levels are an independent risk factor for this complication (OR 3.184), with a predictive area under the curve of 0.737. A combined nomogram incorporating AIP, white blood cell count, and triglycerides achieved an AUC of 0.745 and demonstrated good calibration in internal validation. For clinical laboratories, the findings suggest that routinely calculated lipid parameters could be leveraged to stratify procedural risk, though prospective multicenter validation is required before routine clinical adoption.
The original study
Association Between the Atherogenic Index of Plasma and the Occurrence of Slow Flow/No-Reflow in Patients With Acute Myocardial Infarction Undergoing Emergency Percutaneous Coronary Intervention.
- Authors
- Sun Q, Deng Y, Zhou W, Huang Z, He S, Zhang J, et al.
- Journal
- Cardiology research and practice
- Type
- Journal Article
- PMID
- 42732387
Original abstract
BACKGROUND: Percutaneous coronary intervention (PCI) is the primary reperfusion strategy for acute myocardial infarction (AMI); however, some patients develop slow flow/no-reflow (SF/NR) after the procedure, which adversely affects prognosis. Atherogenic index of plasma (AIP) is a reliable biomarker of cardiovascular risk, yet its predictive value for SF/NR following emergency PCI in AMI patients remains unclear. OBJECTIVE: This study aimed to investigate the association between AIP and the occurrence of SF/NR in AMI patients undergoing emergency PCI. METHODS: A retrospective analysis was conducted on 964 patients initially diagnosed with AMI who underwent PCI. The participants were categorized into SF/NR (n = 251) and normal flow (n = 713) groups on the basis of TIMI flow grade. Statistical analyses including LASSO regression, multivariate logistic regression, ROC curve analysis, RCS regression, subgroup analysis, and the development of a nomogram model were performed. RESULTS: AIP was identified as an independent risk factor for postoperative SF/NR (OR = 3.184, p < 0.05). The AUC for AIP in the prediction of SF/NR was 0.737. Higher AIP quartiles were associated with increased risk, and a nonlinear relationship was observed. The constructed nomogram model demonstrated good predictive performance (AUC = 0.745), satisfactory calibration in internal validation, and favorable clinical utility. Subgroup analysis confirmed the consistent predictive ability of AIP across different strata. CONCLUSION: AIP may be associated with the risk of SF/NR after emergency PCI in AMI patients. Combined with white blood cell count and triglyceride levels, AIP could potentially assist in early identification of high-risk individuals, which warrants further validation in prospective studies. Trial Registration: Chinese Clinical Trial Registry: ChiCTR2500108501.