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已发表论文
泛免疫炎症值可预测不稳定型心绞痛患者发生心肌梗死的风险及经皮冠状动脉介入治疗后的结局
Authors Chen C, Zhao B, Fan Y, Peng J
Received 14 August 2025
Accepted for publication 4 November 2025
Published 10 December 2025 Volume 2025:18 Pages 7433—7445
DOI https://doi.org/10.2147/IJGM.S560646
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Redoy Ranjan
Ce Chen, Bo Zhao, Yongyan Fan, Jianjun Peng
Department of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing, People’s Republic of China
Correspondence: Jianjun Peng, Department of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, No. 10 Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, People’s Republic of China, Tel +86 13911028133, Email pengjianjunmedical@163.com
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 × 1018/L2, 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 × 1018/L2, 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
Department of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing, People’s Republic of China
Correspondence: Jianjun Peng, Department of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, No. 10 Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, People’s Republic of China, Tel +86 13911028133, Email pengjianjunmedical@163.com
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 × 1018/L2, 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 × 1018/L2, 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