Prognostic Effect of pan-Immune-Inflammation Value Indices in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention
Background This study aimed to investigate the association of pan-immune-inflammation value (PIV), PIV/HDL-C (high-density lipoprotein cholesterol), PIV*LDL-C (low-density lipoprotein cholesterol) with the prognosis of patients with acute coronary syndrome (ACS) undergoing percutaneous coronary inte...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-05-01
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| Series: | Clinical and Applied Thrombosis/Hemostasis |
| Online Access: | https://doi.org/10.1177/10760296251343838 |
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| Summary: | Background This study aimed to investigate the association of pan-immune-inflammation value (PIV), PIV/HDL-C (high-density lipoprotein cholesterol), PIV*LDL-C (low-density lipoprotein cholesterol) with the prognosis of patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). Methods A total of 1360 patients with ACS undergoing PCI were consecutively enrolled in this study. They were divided into major adverse cardiovascular events (MACEs) (n = 58) and non-MACEs (n = 1302) groups. The PIV, PIV/HDL-C, and PIV*LDL-C values were measured. The endpoints were MACEs, including cardiogenic mortality, recurrence of myocardial infarction, in-stent restenosis, and rehospitalization for severe heart failure. Results The multivariable Cox regression analysis showed that PIV ≥355.79 (hazard ratio [HR]: 2.006, 95% confidence interval [CI]: 1.165-3.455), PIV/HDL-C ≥ 282.86 (HR: 1.987, 95% CI: 1.119-3.527), and PIV*LDL-C ≥ 1431.58 (HR: 2.071, 95% CI: 1.206-3.556) were all independent predictors of MACEs in patients with ACS undergoing PCI (all P < .05). The cumulative survival rates were significantly lower for patients with higher PIV, PIV/HDL-C, and PIV*LDL-C than for patients with lower values of these indices (log-rank tests: all P < .05). Conclusion Higher PIV, PIV/HDL-C, and PIV*LDL-C were independent prognostic factors for patients with ACS undergoing PCI and may be novel biomarkers for predicting MACEs. |
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| ISSN: | 1938-2723 |