Predictive Ability of Inflammatory Markers on In-Hospital Outcomes in Patients Admitted to Coronary Care Unit (MORCOR-TURK INFLAME).

IF 2.6 3区 医学 Q2 PERIPHERAL VASCULAR DISEASE
Ömer Kümet, Mehmet Özgeyik, Şahin Topuz, Mustafa Beğenç Taşcanov, Ferhat Dindaş, İrfan Şahin, İbrahim Ersoy, İbrahim Halil Tanboğa
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Abstract

We investigated the prognostic implications of the systemic immune-inflammatory index (SII), atherogenic index of plasma (AIP), C-reactive protein/albumin ratio (CAR), neutrophil-lymphocyte ratio (NLR), prognostic nutritional index (PNI), and triglyceride/glucose index (TGI) in the MORtality predictors in the CORonary Care Units in TURKey (MORCOR-TURK) population. This is the largest registry of coronary care unit (CCU) patients in Turkey (3157 patients admitted to CCU in 50 different centers). The study population was divided into two according to in-hospital survival status; 137 patients (4.3%) died in-hospital follow-up. A significant correlation was found between death and SII, CAR, NLR, and PNI but not for AIP and TGI in logistic regression. In Model 1 (combining parameters proven to be risk predictors), the -2 log-likelihood ratio was 888.439, Nagelkerke R2 was 0.235, and AUC (area under curve) was 0.814 (95% CI: 0.771-0.858). All other models were constructed by adding each inflammatory marker separately to Model 1. Only Model 3 (CAR + Model 1) had a significantly greater AUC than Model 1 (DeLong P = .01). Our study showed that CAR, but not other inflammatory index, is a significant predictor of in-hospital mortality in CCU patients when added to proven risk predictors.

炎症标志物对冠心病监护病房住院患者预后的预测能力(MORCOR-TURK INFLAME)。
我们研究了全身免疫炎症指数 (SII)、血浆致动脉粥样硬化指数 (AIP)、C 反应蛋白/白蛋白比值 (CAR)、中性粒细胞/淋巴细胞比值 (NLR)、预后营养指数 (PNI) 和甘油三酯/葡萄糖指数 (TGI) 对土耳其冠心病监护病房 (MORCOR-TURK) 患者死亡率预测的预后影响。这是土耳其最大的冠心病监护病房(CCU)患者登记机构(50 个不同中心的 CCU 共收治 3157 名患者)。研究对象根据院内生存状况分为两组,137 名患者(4.3%)在院内随访时死亡。在逻辑回归中发现,死亡与 SII、CAR、NLR 和 PNI 有明显相关性,但与 AIP 和 TGI 无关。在模型 1(将已被证实为风险预测因子的参数合并)中,-2 log-likelihood ratio 为 888.439,Nagelkerke R2 为 0.235,AUC(曲线下面积)为 0.814(95% CI:0.771-0.858)。所有其他模型都是将每种炎症标记物分别加入模型 1 而构建的。只有模型 3(CAR + 模型 1)的 AUC 明显大于模型 1(DeLong P = .01)。我们的研究表明,如果将 CAR(而非其他炎症指标)添加到已证实的风险预测因子中,CAR 可显著预测 CCU 患者的院内死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Angiology
Angiology 医学-外周血管病
CiteScore
5.50
自引率
14.30%
发文量
180
审稿时长
6-12 weeks
期刊介绍: A presentation of original, peer-reviewed original articles, review and case reports relative to all phases of all vascular diseases, Angiology (ANG) offers more than a typical cardiology journal. With approximately 1000 pages per year covering diagnostic methods, therapeutic approaches, and clinical and laboratory research, ANG is among the most informative publications in the field of peripheral vascular and cardiovascular diseases. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 13 days
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