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Yang-Da Chen,1 Zhi-Gao Wen,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 ChinaCorrespondence: Yong Wang, Email drwangyong2016@163.comBackground: Inflammation plays a key role in the pathogenesis of slow coronary flow phenomenon (SCFP). SCFP is a condition that can complicate the management of ischemia and no obstructive coronary arteries (INOCA), making it essential to identify reliable predictors. Although the systemic inflammation response index (SIRI) has been proven to relate to various cardiovascular diseases. However, the predictive value of SIRI for SCFP in patients with INOCA remains unclear.Methods: A total of 1422 patients with INOCA were consecutively included in this study. 89 individuals were diagnosed with SCFP (the SCFP group). A 1:2 age- and -sex-matched patients with INOCA and normal blood flow were selected as the control group (n=178). Plasma neutrophil, monocyte, and lymphocyte counts were collected so as to determine the value of SIRI.Results: Patients with SCFP had an elevated level of body mass index (BMI) and an increased incidence of smoking and diabetes. The SIRI was significantly higher in the SCFP group than in the controls (2.3± 1.3 vs 1.8± 1.3, p=0.002). The SIRI increased as the number of coronary arteries involved in the SCFP increased. Univariate analyses showed that BMI, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and SIRI were associated with SCFP. Multivariate logistic regression analysis revealed that BMI and SIRI were independent predictors of SCFP occurrence. The ROC curve showed that when the SIRI was > 1.140, the sensitivity and specificity were 87.6% and 60.1%, respectively, and the area under the ROC curve (AUC) was 0.644 (95% CI: 0.578– 0.710, P < 0.001).Conclusion: The findings demonstrated that an increased SIRI may have a potential role in distinguishing SCFP in patients with INOCA. SIRI could improve the predictive value of SCFP compared to neutrophils, monocytes, and lymphocytes alone.Keywords: systemic inflammation response index, slow coronary flow phenomenon, ischemia and no obstructive coronary arteries, predictors

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 ChinaCorrespondence: Shu-Wen Zang, Email jzzangshuwen@163.comBackground: 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