Effects of Red Blood Cell Transfusion on Patients Undergoing Cardiac Surgery in Queensland – a Retrospective Cohort Study
Heart Lung and Circulation(2023)
Abstract
Background Packed red blood cell (pRBC) transfusion is a relatively safe and mainstay treatment commonly used in cardiac surgical patients. However, there is limited evidence on clinical effects of transfusing blood nearing end-of shelf life that has undergone biochemical changes during storage. Objective To investigate evidence of associations between morbidity/mortality and transfusion of blood near end of shelf-life (>35 days) in cardiac surgical patients. Methods Data from the Queensland Health Admitted Patient Data Collection database 2007-2013 was retrospectively analysed. Coronary artery bypass graft and valvular repair patients were included. Multivariable logistic regression was used to examine the effect of pRBC age (<35 days vs ≥35 days) on in-hospital mortality and morbidity. As secondary analysis, outcomes associated with the number of pRBC units transfused (≤4 units vs ≥5 units) were also assessed. Results A total of 4514 cardiac surgery patients received pRBC transfusion. Of these, 292 (6.5%) received pRBCs ≥35 days. No difference in in-hospital mortality or frequency of complications was observed. Transfusion of ≥5 units of pRBCs compared to the ≤4 units was associated with higher rates of in-hospital mortality (5.6% vs 1.3%), acute renal failure (17.6% vs 8%), infection (10% vs 3.4%), and acute myocardial infarction (9.2% vs 4.3%). Infection carried an odds ratio of 1.37 between groups (CI=0.9-2.09; p=0.14) and stroke/neurological complications, 1.59 (CI=0.96-2.63; p=0.07). Conclusion In cardiac surgery patients, transfusion of pRBCs closer to end of shelf-life was not shown to be associated with significantly increased mortality or morbidity. Dose-dependent differences in adverse outcomes (particularly where units transfused were >4) were supported.
MoreTranslated text
Key words
Red blood cell transfusion,Cardiac surgery,Age of packed red blood cells,Storage lesion
PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
2009
被引用56 | 浏览
2006
被引用224 | 浏览
2006
被引用862 | 浏览
2011
被引用51 | 浏览
2001
被引用392 | 浏览
2012
被引用144 | 浏览
2009
被引用45 | 浏览
2013
被引用46 | 浏览
2014
被引用41 | 浏览
2015
被引用40 | 浏览
2016
被引用79 | 浏览
2018
被引用57 | 浏览
2019
被引用26 | 浏览
2014
被引用77 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
去 AI 文献库 对话