Could Pan-Immune-Inflammation Value be a Marker for the Diagnosis of Coronary Slow Flow Phenomenon?

IF 3.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Mustafa Kaplangoray, Kenan Toprak, Edhem Deveci, Cuneyt Caglayan, Ebru Şahin
{"title":"Could Pan-Immune-Inflammation Value be a Marker for the Diagnosis of Coronary Slow Flow Phenomenon?","authors":"Mustafa Kaplangoray, Kenan Toprak, Edhem Deveci, Cuneyt Caglayan, Ebru Şahin","doi":"10.1007/s12012-024-09855-4","DOIUrl":null,"url":null,"abstract":"<p>Inflammation plays a key role in the pathogenesis of the coronary slow flow phenomenon (CSFP). The newly developed inflammatory marker, pan-immune-inflammation value (PIV), is associated with adverse cardiovascular events. This study investigated the predictive value of PIV for diagnosing CSFP in comparison to other inflammation-based markers. A total of 214 patients, 109 in the CSFP group and 105 in the normal coronary flow (NCF) group, were retrospectively included in the study. Coronary flow was calculated using the Thrombolysis in Myocardial Infarction frame count method. In addition to PIV, other inflammatory markers such as neutrophil–lymphocyte ratio, platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated for the patients. The average age of patients was 50.3 ± 8.4, with a male ratio of 55.1%. Compared to the NCF group, patients in the CSFP group had higher levels of hyperlipidemia, glucose, triglyceride, NLR, PLR, SII, and PIV, while their high-density lipoprotein cholesterol (HDL-C), was lower (<i>p</i> &lt; 0.05). Logistic regression analysis demonstrated that HDL-C, glucose, triglyceride, and PIV were independent predictor factors for CSFP (<i>p</i> &lt; 0.05). PIV is a strong and independent predictor factor for CSFP and superior in predicting CSFP compared to other inflammatory markers.</p>","PeriodicalId":9570,"journal":{"name":"Cardiovascular Toxicology","volume":"82 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular Toxicology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12012-024-09855-4","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Inflammation plays a key role in the pathogenesis of the coronary slow flow phenomenon (CSFP). The newly developed inflammatory marker, pan-immune-inflammation value (PIV), is associated with adverse cardiovascular events. This study investigated the predictive value of PIV for diagnosing CSFP in comparison to other inflammation-based markers. A total of 214 patients, 109 in the CSFP group and 105 in the normal coronary flow (NCF) group, were retrospectively included in the study. Coronary flow was calculated using the Thrombolysis in Myocardial Infarction frame count method. In addition to PIV, other inflammatory markers such as neutrophil–lymphocyte ratio, platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated for the patients. The average age of patients was 50.3 ± 8.4, with a male ratio of 55.1%. Compared to the NCF group, patients in the CSFP group had higher levels of hyperlipidemia, glucose, triglyceride, NLR, PLR, SII, and PIV, while their high-density lipoprotein cholesterol (HDL-C), was lower (p < 0.05). Logistic regression analysis demonstrated that HDL-C, glucose, triglyceride, and PIV were independent predictor factors for CSFP (p < 0.05). PIV is a strong and independent predictor factor for CSFP and superior in predicting CSFP compared to other inflammatory markers.

Abstract Image

泛免疫炎症值能否作为诊断冠状动脉慢流现象的标志?
炎症在冠状动脉慢血流现象(CSFP)的发病机制中起着关键作用。新开发的炎症标记物泛免疫炎症值(PIV)与不良心血管事件有关。本研究对 PIV 诊断 CSFP 的预测价值进行了调查,并与其他基于炎症的标记物进行了比较。研究回顾性地纳入了 214 名患者,其中 CSFP 组 109 人,正常冠脉流量(NCF)组 105 人。冠脉流量采用心肌梗死溶栓框架计数法计算。除 PIV 外,还计算了患者的其他炎症指标,如中性粒细胞-淋巴细胞比值、血小板-淋巴细胞比值(PLR)和全身免疫炎症指数(SII)。患者的平均年龄为(50.3 ± 8.4)岁,男性比例为 55.1%。与 NCF 组相比,CSFP 组患者的高脂血症、血糖、甘油三酯、NLR、PLR、SII 和 PIV 水平较高,而高密度脂蛋白胆固醇(HDL-C)较低(P <0.05)。逻辑回归分析表明,HDL-C、血糖、甘油三酯和 PIV 是 CSFP 的独立预测因素(p < 0.05)。PIV 是 CSFP 强有力的独立预测因素,与其他炎症指标相比,PIV 在预测 CSFP 方面更具优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cardiovascular Toxicology
Cardiovascular Toxicology 医学-毒理学
CiteScore
6.60
自引率
3.10%
发文量
61
审稿时长
>12 weeks
期刊介绍: Cardiovascular Toxicology is the only journal dedicated to publishing contemporary issues, timely reviews, and experimental and clinical data on toxicological aspects of cardiovascular disease. CT publishes papers that will elucidate the effects, molecular mechanisms, and signaling pathways of environmental toxicants on the cardiovascular system. Also covered are the detrimental effects of new cardiovascular drugs, and cardiovascular effects of non-cardiovascular drugs, anti-cancer chemotherapy, and gene therapy. In addition, Cardiovascular Toxicology reports safety and toxicological data on new cardiovascular and non-cardiovascular drugs.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信