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中性粒细胞百分比与白蛋白比值作为无阻塞冠状动脉心肌缺血患者冠状动脉慢血流现象的预测指标
Authors Zang SW, Long JJ, Wang Y
Received 8 July 2024
Accepted for publication 10 August 2024
Published 14 August 2024 Volume 2024:17 Pages 3511—3519
DOI https://doi.org/10.2147/IJGM.S477431
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Yuriy Sirenko
Shu-Wen Zang,1 Jun-Jie Long,1 Yong Wang2
1Department of Emergency Medicine, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China; 2Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
Correspondence: Shu-Wen Zang, Email jzzangshuwen@163.com
Background: Accumulating evidences suggest that low-grade inflammatory response plays a key role in the pathophysiology of coronary slow flow phenomenon (CSFP). As a new hematological inflammatory indicator, the neutrophil percentage to albumin ratio (NPAR) and its role in the occurrence and development of CSFP remains unclear. In this study, we aimed to investigate the predictive value of NPAR in the presence of CSFP in patients with myocardial ischemia and no obstructive coronary arteries (INOCA).
Methods: In total, 1323 individuals with INOCA were included in this study. 85 patients developed CSFP were included in the CSFP group. 1:2 age-and sex-matched patients were selected from the absence of CSFP, with normal blood flow, as the control group. Clinical characteristics, laboratory parameters, and angiographic findings were compared between groups. NPAR was also calculated to explore its relationship with CSFP.
Results: NPAR was significantly higher in the CSFP patients than in the controls (19.3± 2.5 vs 16.7± 1.8, p< 0.001). The NPAR increased with the number of coronary arteries involved in CSFP. Multivariate logistic regression analysis showed that an elevated NPAR level was an independent predictor of CSFP (OR 1.915, 95% CI 1.612– 2.275, P < 0.001). The ROC curve showed that when NPAR was > 17.39, the sensitivity and specificity were 90.6% and 78.8%, respectively, and the area under the ROC curve (AUC) was 0.860 (95% CI: 0.811– 0.909, P < 0.001). The AUC of neutrophil percentage was 0.845 (95% CI: 0.794– 0.897, p < 0.001), and that of albumin was 0.808 (95% CI: 0.753– 0.864, p < 0.001).
Conclusion: Elevated NPAR levels are an independent predictor of CSFP in patients with INOCA. NPAR could improve the predictive value of CSFP compared with neutrophil percentage or albumin ratio alone.
Keywords: neutrophil percentage-to-albumin ratio, coronary slow flow phenomenon, myocardial ischemia with no obstructive coronary arteries, predictors