Work

Pan-Immune-Inflammatory Value Predicts the Risk of Myocardial Infarction Among Patients with Unstable Angina Pectoris and the Outcomes After Percutaneous Coronary Intervention

Year: 2025

Type: article

Abstract: Objective: This study investigates the potential of the pan-immune-inflammatory value (PIV) as a predictive indicator for myocardial infarction (MI) risk in unstable angina pectoris (UAP) patients and its association with major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI). Methods: UAP patients diagnosed with MI underwent PCI and were monitored for MACE, including mortality, recurrent MI, revascularization, cerebrovascular accidents, and heart failure admissions. Clinical profiles and PIV levels were recorded. Multivariate logistic regression and receiver operating characteristic (ROC) analyses were conducted to identify variables associated with MI and MACE risk. Results: MI patients had higher PIV (409.07 ± 127.63 vs 284.44 ± 126.96 × 10 1 8 /L 2 , P < 0.001) and LDL-C (2.91 ± 1.04 vs 2.31 ± 1.06 mmol/L, P < 0.001) levels. Both PIV (OR = 1.008, P < 0.001) and LDL-C (OR = 1.694, P < 0.001) were significant predictors of MI. ROC analysis showed that PIV had stronger discriminatory capacity (AUC = 0.755) than LDL-C (AUC = 0.661), with their combined model improving predictive performance (AUC = 0.787). In PCI-treated MI patients, those developing MACE had higher PIV (452.66 ± 105.24 vs 378.45 ± 133.53 × 10 1 8 /L 2 , P = 0.001) and TC levels (4.84 ± 0.39 vs 4.66 ± 0.42 mmol/L, P = 0.010). Both TC (OR = 3.337, P = 0.007) and PIV (OR = 1.005, P = 0.001) were independently associated with MACE. The combined model (AUC = 0.721) outperformed individual markers. Conclusion: PIV is independently associated with MI risk in UAP patients and MACE following PCI. Combining PIV with lipid markers may enhance clinical risk assessment and inform management strategies. Keywords: pan-immune-inflammatory value, unstable angina pectoris, myocardial infarction, percutaneous coronary intervention, major adverse cardiovascular events, predictive value

Source: International Journal of General Medicine

DOI: 10.2147/ijgm.s560646

Authors: Ce Chen, Bo Zhao, Yongyan Fan, Jianjun Peng

Institutions: Capital Medical University, Beijing Shijitan Hospital

Language: English

Topic: Inflammatory Biomarkers in Disease Prognosis

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,836