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心脏手术中的患者血液管理:“Granducato 算法”。

Patient blood management in cardiac surgery: The "Granducato algorithm".

机构信息

Department of Medicine, Surgery and Neuroscience, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy; Department of Urgency and Emergency, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy; Unit of Intensive Care Medicine, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.

Department of Medicine, Unit of Coagulation, University of Padua, Italy; Department of Medicine, Unit Thrombotic and Hemorrhagic Diseases, University of Padua, Italy.

出版信息

Int J Cardiol. 2019 Aug 15;289:37-42. doi: 10.1016/j.ijcard.2019.01.025. Epub 2019 Jan 11.

Abstract

BACKGROUND

Patients undergoing cardiac surgery are subject to severe alterations of the coagulation system. The four cardiac surgery centers in Tuscany (Italy) structured and shared an algorithm (Granducato Patient Blood Management algorithm, G-PBMa) with predefined interventions for patient blood management. The aim of the study is to analyze the impact of that algorithm on the transfusion needs and bleeding-related outcomes in a large patient population.

METHODS

Multicenter retrospective observational study on 3839 patients undergoing cardiac surgery at the four cardiac centers in Tuscany. The G-PBMa was released at the end of 2015 and it was structured in three parts: pre-, intra-, and post-operative. The year 2014, before the G-PBMa (1955 patients) and the year 2016 (1884 patients) after the G-PBMa in place were compared. Logistic regression analyses were used.

RESULTS

The main changes introduced were the routine application of viscoelastic tests in bleeding patients (+72%) and the use of fibrinogen and prothrombin complex concentrate (+67%). The G-PBMa resulted in a significant reduction in the overall transfusion rate and in the transfusion rate of the separate blood products (relative risk for transfusions: 0.75, 95% confidence interval 0.65-0.85, P = 0.001). For preoperative hemoglobin values of between 8 and 10 g/dL, the absolute difference in RBC transfusion rate before and after the G-PBMa introduction ranged around 15%-17%. The G-PBMa introduction determined lower (P = 0.02) chest drain blood loss, lower (P = 0.001) postoperative acute kidney injury and shorter (P = 0.001) hospital stay.

CONCLUSIONS

The G-PBMa was effective in reducing blood loss, transfusion requirements, and resulted in a better outcome.

摘要

背景

接受心脏手术的患者会经历严重的凝血系统改变。托斯卡纳(意大利)的四个心脏手术中心制定并共享了一种针对患者血液管理的预定义干预措施的算法(大公爵患者血液管理算法,G-PBMa)。本研究旨在分析该算法对大量患者输血需求和出血相关结局的影响。

方法

在托斯卡纳的四个心脏中心进行心脏手术的 3839 例患者的多中心回顾性观察性研究。G-PBMa 于 2015 年底发布,分为三个部分:术前、术中和术后。比较 2014 年(G-PBMa 前,1955 例患者)和 2016 年(G-PBMa 实施后,1884 例患者)。采用逻辑回归分析。

结果

引入的主要变化是常规应用于出血患者的粘弹性检测(增加 72%)和纤维蛋白原及凝血酶原复合物浓缩物的应用(增加 67%)。G-PBMa 显著降低了总输血率和单独血液制品的输血率(输血的相对风险:0.75,95%置信区间 0.65-0.85,P=0.001)。对于术前血红蛋白值在 8 至 10 g/dL 之间的患者,G-PBMa 引入前后 RBC 输血率的绝对差异约为 15%-17%。G-PBMa 引入可降低(P=0.02)胸引血量、降低(P=0.001)术后急性肾损伤和缩短(P=0.001)住院时间。

结论

G-PBMa 可有效减少失血、输血需求,并改善预后。

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