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供者、成分和受者特征对红细胞输注后血红蛋白增加的影响。

Effect of donor, component, and recipient characteristics on hemoglobin increments following red blood cell transfusion.

机构信息

Kaiser Permanente Northern California Division of Research, Oakland, CA.

Vitalant Research Institute, San Francisco, CA.

出版信息

Blood. 2019 Sep 26;134(13):1003-1013. doi: 10.1182/blood.2019000773. Epub 2019 Jul 26.

Abstract

Significant research has focused individually on blood donors, product preparation and storage, and optimal transfusion practice. To better understand the interplay between these factors on measures of red blood cell (RBC) transfusion efficacy, we conducted a linked analysis of blood donor and component data with patients who received single-unit RBC transfusions between 2008 and 2016. Hemoglobin levels before and after RBC transfusions and at 24- and 48-hour intervals after transfusion were analyzed. Generalized estimating equation linear regression models were fit to examine hemoglobin increments after RBC transfusion adjusting for donor and recipient demographic characteristics, collection method, additive solution, gamma irradiation, and storage duration. We linked data on 23 194 transfusion recipients who received one or more single-unit RBC transfusions (n = 38 019 units) to donor demographic and component characteristics. Donor and recipient sex, Rh-D status, collection method, gamma irradiation, recipient age and body mass index, and pretransfusion hemoglobin levels were significant predictors of hemoglobin increments in univariate and multivariable analyses ( < .01). For hemoglobin increments 24 hours after transfusion, the coefficient of determination for the generalized estimating equation models was 0.25, with an estimated correlation between actual and predicted values of 0.5. Collectively, blood donor demographic characteristics, collection and processing methods, and recipient characteristics accounted for significant variation in hemoglobin increments related to RBC transfusion. Multivariable modeling allows the prediction of changes in hemoglobin using donor-, component-, and patient-level characteristics. Accounting for these factors will be critical for future analyses of donor and component factors, including genetic polymorphisms, on posttransfusion increments and other patient outcomes.

摘要

大量研究分别集中在献血者、产品制备和储存以及最佳输血实践上。为了更好地了解这些因素对红细胞 (RBC) 输血效果衡量标准的相互作用,我们对 2008 年至 2016 年期间接受单一单位 RBC 输血的献血者和成分数据进行了关联分析。分析了输血前后和输血后 24 小时和 48 小时的血红蛋白水平。使用广义估计方程线性回归模型,在调整了献血者和受血者人口统计学特征、采集方法、添加剂溶液、γ 射线照射和储存时间后,检查 RBC 输血后血红蛋白的增加量。我们将 23194 名接受过一次或多次单一单位 RBC 输血的输血受者(n = 38019 单位)的数据与献血者的人口统计学和成分特征相关联。献血者和受血者的性别、Rh-D 状态、采集方法、γ 射线照射、受血者年龄和体重指数以及输血前的血红蛋白水平在单变量和多变量分析中是血红蛋白增量的显著预测因素(<0.01)。对于输血后 24 小时的血红蛋白增量,广义估计方程模型的确定系数为 0.25,实际值与预测值之间的相关性估计为 0.5。总的来说,献血者的人口统计学特征、采集和处理方法以及受血者的特征解释了与 RBC 输血相关的血红蛋白增量的显著差异。多变量建模允许使用献血者、成分和患者水平的特征来预测血红蛋白的变化。考虑这些因素对于未来分析输血后增量和其他患者结局的献血者和成分因素,包括遗传多态性,将是至关重要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d150/6764268/bb24037e806f/bloodBLD2019000773absf1.jpg

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