Predictive role of platelet indices on hospital admission and discharge in the long-term prognosis of acute coronary syndrome: Platelets do count

医学 狼牙棒 内科学 急性冠脉综合征 心肌梗塞 不稳定型心绞痛 平均血小板体积 比例危险模型 单变量分析 心脏病学 临床终点 心绞痛 血小板 多元分析 随机对照试验 经皮冠状动脉介入治疗
作者
Georgios Psarakis,Ioannis T. Farmakis,Stefanos Zafeiropoulos,Christos Tsolakidis,Orestis Konstantas,Olga Kourti,AB Touriki,Thomas Psathas,Eleni Vrana,Spyridon Graidis,Konstantina Spyridaki,Anastasia Daniilidou,Amalia Baroutidou,Haralambos Karvounis,George Giannakoulas
出处
期刊:European Journal of Preventive Cardiology [Oxford University Press]
卷期号:28 (Supplement_1)
标识
DOI:10.1093/eurjpc/zwab061.087
摘要

Abstract Funding Acknowledgements Type of funding sources: None. Background/Introduction: Previous clinical studies have underlined the prognostic role of platelet indices in acute coronary syndrome (ACS). However, the effect of their dynamic change during hospitalization has not thoroughly been examined. Purpose: We aimed to investigate the association between platelet indices on admission, on discharge and their change during hospitalization and the long-term prognosis of patients with ACS. Methods: Data from a randomized controlled trial recruiting ACS patients were analyzed in a survival analysis. Platelet count (PC), mean platelet volume (MPV), platelet distribution width (PDW) and plateletcrit (PCT) on admission and on discharge dichotomized at the median value, as well as the change between admission and discharge of each variable dichotomized at the zero value. Primary endpoints were major adverse cardiac events (MACE), defined as occurrence of cardiovascular death, non-fatal myocardial infarction, non-fatal stroke or hospitalization for unstable angina, while secondary endpoints were all-cause mortality, all-cause hospitalization and major or minor bleeding events. Results: The study included 252 individuals who were followed-up for a median of 39 months. In the univariate Cox regression analysis, only PC at discharge (HR 2.20, 95% CI 1.10-4.40), MPV at discharge (HR 0.48, 95% CI 0.25-0.94) and PC reduction during the hospitalization (HR 0.25, 95% CI 0.13-0.51) predicted MACE. PC reduction correlated with a lower MACE occurrence (adjusted HR 0.27, 95%CI 0.14-0.54) and lower risk of all-cause hospitalization (adjusted HR 0.36, 95%CI 0.19-0.68) in the multivariable Cox-regression analysis. Conclusion: PC change during hospitalization can be a substantial independent predictor of long-term prognosis of ACS patients. Baseline and admission characteristics Characteristic Statistic Overall, N = 252 Negative Platelet Difference, N = 98 Postive Platelet Difference, N = 154 p-value Age, years median (IQR) 60 (53, 72) 62 (55, 74) 60 (53, 72) 0.2 Hypertension n(%) 147(58.3%) 58(59.2%) 89(57.8%) >0.9 Diabetes n(%) 71(28.2%) 27(27.6%) 44(28.6%) >0.9 Cardiovascualr Disease (CVD) n(%) 100(39.7%) 43(43.9%) 57(37.0%) 0.3 Primary Coronary Intervention (PCI) treatment n(%) 200(79.4%) 71(72.4%) 129(83.8%) 0.045 Number of vessels n 0.6 1 n(%) 107(59.1%) 38(59.4%) 69(59.0%) ≥2 n(%) 68(37.6%) 25(39.1%) 43(36.8%) Platelets at admission, K/μL mean(SD) 257179(71031) 237020(62555) 270006(73282) 0.001 Platelets at dischage, K/μL mean(SD) 250952(70263) 279153(75159) 233006(60698) <0.001 Abstract Figure. MACE univariate / multivariate analysis
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