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Zang SW, Long JJ, Wang Y. Neutrophil Percentage to Albumin Ratio as a Predictor for Coronary Slow Flow Phenomenon in Patients with Myocardial Ischemia with No Obstructive Coronary Arteries. Int J Gen Med 2024; 17:3511-3519. [PMID: 39161405 PMCID: PMC11330862 DOI: 10.2147/ijgm.s477431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 08/10/2024] [Indexed: 08/21/2024] Open
Abstract
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.
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Affiliation(s)
- Shu-Wen Zang
- Department of Emergency Medicine, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
| | - Jun-Jie Long
- Department of Emergency Medicine, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
| | - Yong Wang
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
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Li ZP, Chen J, Xin Q, Pei XY, Wu HL, Tan ZX. Triglyceride glucose-body mass index as a novel predictor of slow coronary flow phenomenon in patients with ischemia and nonobstructive coronary arteries (INOCA). BMC Cardiovasc Disord 2024; 24:60. [PMID: 38243161 PMCID: PMC10797862 DOI: 10.1186/s12872-024-03722-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/11/2024] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND The triglyceride glucose-body mass index (TyG-BMI index) has been suggested as a novel predictor of insulin resistance. However, its predictive value for slow coronary flow phenomenon (SCFP) in patients with ischemia and nonobstructive coronary arteries (INOCA) remains unclear. METHODS We consecutively recruited 1625 patients with INOCA from February 2019 to February 2023 and divided them into two groups based on thrombolysis in myocardial infarction (TIMI) frame counts (TFCs): the SCFP group (n = 79) and the control group. A 1:2 age-matched case-control study was then performed. The TyG-BMI index was calculated as ln [plasma triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2] × BMI. RESULTS TyG-BMI index in the SCFP group (218.3 ± 25.2 vs 201.0 ± 26.5, P < .001) was significantly higher than in the normal controls. TyG-BMI index also increased with the number of coronary arteries involved in the SCFP. Multivariate logistic regression analysis showed that TyG-BMI, BMI, and TG were independent predictors for SCFP. Receiver operating characteristic (ROC) curve analysis showed that when the TyG-BMI index was above 206.7, the sensitivity and specificity were 88.6% and 68.5%, respectively, with an AUC of 0.809 (95% CI: 0.756-0.863, P = .027). Combined BMI with TG, the TyG-BMI index had a better predictive value for SCFP than BMI and TG (P < .001). CONCLUSION The TyG-BMI index was an independent predictor for SCFP in INOCA patients, and it had a better predictive value than BMI and TG.
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Affiliation(s)
- Zhi-Peng Li
- Department of Cardiology, The Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, China
| | - Juan Chen
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People's Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China
| | - Qi Xin
- Department of Cardiology, The Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, China
| | - Xiao-Yang Pei
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People's Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China
| | - Hong-Li Wu
- Department of Cardiology, The Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, China
| | - Zhi-Xu Tan
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People's Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China.
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Yang SB, Cui Y, Hou JJ, Zhang H, Pei XY, Wang Y. Assessment of the relationship between plasma fibrinogen-to-albumin ratio and slow coronary flow phenomenon in patients without obstructive coronary artery disease. BMC Cardiovasc Disord 2023; 23:540. [PMID: 37932710 PMCID: PMC10629091 DOI: 10.1186/s12872-023-03579-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/25/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Prior studies have suggested that the chronic inflammatory response has an important role in the pathophysiology of slow coronary flow phenomenon (SCFP). However, data are scarce regarding the role of plasma fibrinogen-to-albumin ratio (PFAR) in patients having SCFP without obstructive coronary artery disease (CAD). In this study, we investigated the relationship between PFAR and the presence of SCFP in patients without obstructive CAD. METHODS From January 2021 to January 2023, we consecutively recruited 1085 patients without obstructive CAD according to the diagnostic and exclusion criteria. In total, SCFP was diagnosed in 70 patients. A 1:2 age-matched case-control study was then conducted using comparators without SCFP. Ultimately, this study enrolled 70 patients with angiographically normal coronary arteries and SCFP, along with 140 comparators with angiographically normal coronary arteries and normal coronary flow. Plasma fibrinogen and albumin levels were measured, and the PFAR was then calculated for each patient. RESULTS PFARs were significantly greater in the SCFP group than in the comparators with normal coronary flow (82.8 ± 15.4 vs 73.1 ± 19.5, p < 0.001). PFAR increased with increasing numbers of vessels affected by SCFP. Multivariate logistic regression analysis showed that PFAR was an independent predictor of SCFP (odds ratio: 1.818, p = 0.015). Receiver operating characteristic (ROC) curve analysis indicated that PFAR showed a better predictive value of SCFP than fibrinogen or albumin, although not significantly (p > 0.05). CONCLUSION PFAR is an independent predictor of SCFP in patients without obstructive CAD. PAFR could improve the predictive value of SFCP than albumin or fibrinogen alone, but not significantly.
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Affiliation(s)
- Shao-Bing Yang
- Department of Cardiology, The General Hospital of Ningxia Medical University, Yinchuan, China
| | - Ying Cui
- Department of Cardiology, The General Hospital of Ningxia Medical University, Yinchuan, China
| | - Jian-Jun Hou
- Department of Cardiology, The General Hospital of Ningxia Medical University, Yinchuan, China
| | - Hui Zhang
- Department of Cardiology, The General Hospital of Ningxia Medical University, Yinchuan, China
| | - Xiao-Yang Pei
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People's Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China
| | - Yong Wang
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People's Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China.
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Dai XT, Kong TZ, Zhang XJ, Luan B, Wang Y, Hou AJ. Relationship between increased systemic immune-inflammation index and coronary slow flow phenomenon. BMC Cardiovasc Disord 2022; 22:362. [PMID: 35941535 PMCID: PMC9358856 DOI: 10.1186/s12872-022-02798-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 07/29/2022] [Indexed: 11/10/2022] Open
Abstract
Background Systemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio), a new marker of inflammation, is associated with adverse cardiovascular events, but its relationship with coronary slow flow phenomenon (CSFP) is unclear. Therefore, we aimed to investigate the relationship between SII and CSFP. Methods We enrolled consecutive patients who presented with chest pain, with normal/near-normal coronary angiography findings (n = 89 as CSFP group; n = 167 as control group). The baseline characteristics, laboratory parameters and angiographic characteristics of the two groups were compared. Results SII levels were significantly higher in the CSFP group than in the control group (409.7 ± 17.7 vs. 396.7 ± 12.7, p < 0.001). A significant positive correlation between SII and the mean thrombolysis in myocardial infarction frame count (mTFC) was found (r = 0.624, p < 0.001). SII increased with the number of coronary arteries involved in CSFP. In multivariate logistic regression analysis, SII/10 was an independent predictor of CSFP (odds ratio: 1.739, p < 0.001). In addition, the SII level > 404.29 was a predictor of CSFP with 67.4% sensitivity and 71.9% specificity. Conclusions SII can predict the occurrence of CSFP.
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Affiliation(s)
- Xin-Tong Dai
- Department of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China
| | - Tian-Zhong Kong
- Department of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China
| | - Xiao-Jiao Zhang
- Department of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China
| | - Bo Luan
- Department of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China
| | - Yong Wang
- Department of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China.
| | - Ai-Jie Hou
- Department of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China.
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Aciksari G, Cetinkal G, Kocak M, Atici A, Celik FB, Caliskan M. The relationship between triglyceride/high-density lipoprotein cholesterol ratio and coronary slow-flow phenomenon. Int J Cardiovasc Imaging 2021; 38:5-13. [PMID: 34453654 DOI: 10.1007/s10554-021-02387-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/19/2021] [Indexed: 10/20/2022]
Abstract
In this study, we aimed to investigate the relationship between high triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) ratio and coronary slow flow phenomenon (CSFP) in patients undergoing elective coronary angiography for suspected coronary artery disease. This prospective study included a total of 84 CSFP patients and 83 controls with normal coronary flow, as evidenced by coronary angiography. The Thrombolysis in Myocardial Infarction (TIMI) frame count (TFC) was used to measure the coronary blood flow velocity. The lipid profiles were analyzed and TG/HDL-C ratio were calculated dividing absolute TG levels by absolute HDL-C levels in peripheral blood. The median TG/HDL-C ratio was higher in the CSFP group than the control group (3.4 [2.6 to 4.9] vs. 2.3 [1.8 to 3], respectively; p < 0.001). The multivariate logistic regression analysis revealed that TG/HDL-C ratio was an independent predictor of CSFP (odds ratio [OR] 1.78, 95% confidence interval [CI] 1.59-2.32; p = 0.001) and TG/HDL-C ratio was positively correlated with the TFC in the CSFP group (r = 0.311, p < 0.001). The area under the receiver operating characteristic curve of TG/HDL-C for the diagnosis of CSFP was 0.73 (95% CI 0.65-0.81; p < 0.001). If a cut-off value of 2.75 was used, higher levels of TG/HDL-C ratio could predict the presence of CSFP with 72% sensitivity and 71% specificity. Our study results suggest that TG/HDL-C ratio is associated with CSFP and may be a useful biomarker for predicting CSFP and its severity.
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Affiliation(s)
- Gonul Aciksari
- Department of Cardiology, Istanbul Medeniyet University, Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Istanbul, Turkey.
| | - Gokhan Cetinkal
- Department of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey
| | - Mehmet Kocak
- Department of Emergency Medicine, Fatih Sultan Mehmet Training and Research Hospital, Istanbul, Turkey
| | - Adem Atici
- Department of Cardiology, Istanbul Medeniyet University, Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Istanbul, Turkey
| | - Fatma Betul Celik
- Department of Cardiology, Istanbul Medeniyet University, Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Istanbul, Turkey
| | - Mustafa Caliskan
- Department of Cardiology, Istanbul Medeniyet University, Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Istanbul, Turkey
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Genc Tapar G, Elcik D, Dogan A, Altunel E, Inanc MT, Alcali B, Boylug S, Oguzhan A, Topsakal R, Ergin A, Kalay N. An investigation of the relationship between arterial aortic stiffness and coronary slow flow that was detected during coronary angiography. Echocardiography 2020; 37:528-535. [DOI: 10.1111/echo.14643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 02/04/2020] [Accepted: 03/08/2020] [Indexed: 11/30/2022] Open
Affiliation(s)
| | - Deniz Elcik
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
| | - Ali Dogan
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
| | - Ebru Altunel
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
| | | | - Bilal Alcali
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
| | - Sibel Boylug
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
| | | | - Ramazan Topsakal
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
| | - Ali Ergin
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
| | - Nihat Kalay
- Department of Cardiology Erciyes University Medicine Faculty Kayseri Turkey
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