Skip to main content
Journal of Blood Transfusion logoLink to Journal of Blood Transfusion
. 2016 Sep 27;2016:9316385. doi: 10.1155/2016/9316385

Quantification of Cell-Free DNA in Red Blood Cell Units in Different Whole Blood Processing Methods

Andrew W Shih 1,2,*, Vinai C Bhagirath 3,4, Nancy M Heddle 2,3,5, Jason P Acker 6,7, Yang Liu 2,3, John W Eikelboom 3, Patricia C Liaw 1,3,4
PMCID: PMC5059535  PMID: 27774338

Abstract

Background. Whole blood donations in Canada are processed by either the red cell filtration (RCF) or whole blood filtration (WBF) methods, where leukoreduction is potentially delayed in WBF. Fresh WBF red blood cells (RBCs) have been associated with increased in-hospital mortality after transfusion. Cell-free DNA (cfDNA) is released by neutrophils prior to leukoreduction, degraded during RBC storage, and is associated with adverse patient outcomes. We explored cfDNA levels in RBCs prepared by RCF and WBF and different storage durations. Methods. Equal numbers of fresh (stored ≤14 days) and older RBCs were sampled. cfDNA was quantified by spectrophotometry and PicoGreen. Separate regression models determined the association with processing method and storage duration and their interaction on cfDNA. Results. cfDNA in 120 RBC units (73 RCF, 47 WBF) were measured. Using PicoGreen, WBF units overall had higher cfDNA than RCF units (p = 0.0010); fresh WBF units had higher cfDNA than fresh RCF units (p = 0.0093). Using spectrophotometry, fresh RBC units overall had higher cfDNA than older units (p = 0.0031); fresh WBF RBCs had higher cfDNA than older RCF RBCs (p = 0.024). Conclusion. Higher cfDNA in fresh WBF was observed compared to older RCF blood. Further study is required for association with patient outcomes.

1. Introduction

Transfusion of red blood cells (RBCs) is one of the most widely used therapies in clinical medicine. In Canada, approximately 1.5 million transfusions were given each year from 2006 to 2012, with the majority being red blood cells (RBC). Emerging data suggests that there is variability in RBC product quality depending on the method used to process the whole blood donations and the duration of RBC storage [1]. Since 2008, Canadian Blood Services (CBS) produce RBCs using two different methods in an approximately 1 : 1 ratio, the red cell filtration (RCF) (also called buffy coat) method and the whole blood filtration (WBF) method [2]. In the RCF method, whole blood is held at room temperature for a maximum 20 hours before separation into platelets, plasma, and RBCs and red cell leukoreduction occurs at room temperature. In the WBF method, the whole blood is cooled within 8 hours of collection to 4°C and then leukoreduced in the cold and processed into plasma and RBCs any time within 72 hours of the collection.

Differences in processing method may have a negative impact on patient outcomes [1, 3]. A retrospective review of over 23,000 patients receiving approximately 92,000 RBC transfusions over a six-year period in three tertiary care centers demonstrated higher in-hospital mortality in patients who received WBF products with a shorter storage duration (less than 8 days) compared to patients who received RCF products with a longer storage duration [4]. One difference between the two methods of whole blood processing is the timing and temperature of leukoreduction. In blood products that have not undergone leukoreduction, there are significant levels of cfDNA and associated histones that increase with time [5]. Both are released in the form of neutrophil extracellular traps (NETs) by neutrophils in the presence of microbial or inflammatory stimuli [6]. cfDNA activates coagulation via the contact pathway [7]. Interactions with platelets and neutrophils can result in microvascular thrombosis, leading to tissue hypoxia and endothelial damage. Histones activate platelets [8], induce neutrophil accumulation in organs [9], and cause endothelial cell toxicity [10]. cfDNA can also be released from mitochondria, in which case it is not associated with histones. Mitochondrial DNA (mtDNA) has similar procoagulant and platelet-stimulating potential as nuclear cfDNA but also has distinct proinflammatory properties [11, 12]. In animal models, reducing NETs with a DNA-digesting enzyme or inhibiting NETs with anti-histone antibodies results in improved survival in an animal model of transfusion-associated lung injury [13], and neutralizing histones with antibodies can rescue mice from lethal sepsis [14]. In humans, circulating cfDNA levels have been associated with deep vein thrombosis, increased risk of mortality in septic patients [15], increased severity in trauma patients, and thrombosis in cancer patients [16]. Thus, the cfDNA released from white blood cells is potentially harmful.

We hypothesized that the delay in leukoreduction in blood processed by the WBF method may lead to higher amounts of cfDNA released from leukocytes, thereby potentially explaining the observed association with increased mortality when the WBF product is transfused. We also hypothesized that DNases in blood may contribute to degradation of DNA over time and thus fresh blood will have higher amounts of cfDNA compared to older blood. To test these hypotheses, we measured cfDNA in RBC products and correlated these levels with the method of whole blood processing and duration of storage.

2. Materials and Methods

2.1. Sample Collection

Approximately 5 mL was sampled from packed RBC units in the Transfusion Medicine laboratory at the McMaster site of Hamilton Health Sciences using a sterile docking device. Samples were consecutively collected to meet a 1 : 1 ratio of fresh blood (defined as having a storage time of 14 days or less) or older (storage time greater than 14 days) blood. We utilized a cutoff of 14 days or less for fresh blood as it was the most common definition utilized for fresh blood [17]. The samples were immediately spun at 1700 g for 10 minutes, and the supernatant was aliquoted and frozen at −80°C. DNA from 200 μL of thawed supernatant was extracted into 200 μL of AE buffer (elution buffer) using the DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany) as per the manufacturer's directions.

Anonymized data including product number and storage duration were recorded from the unit at the time of sampling. The unique product numbers were documented and sent to Canadian Blood Services who provided the method of processing for each unit. The protocol was approved by the Hamilton Integrated Research Ethics Board and the Research Ethics Board at Canadian Blood Services.

2.2. Measurement of Cell-Free DNA Concentration

DNA concentration was determined by spectrophotometry, with concentration of DNA measured with UV absorbance at 260 nm on an Eppendorf Biophotometer Plus (Eppendorf, Hamburg, Germany). The PicoGreen assay (Life Technologies, Carlsbad, CA) was performed as per the manufacturer's directions, where a smaller volume of 100 μL per sample was used and read in 96-well opaque black plates.

2.3. Statistical Analysis

Statistical analysis was performed using computer software (SAS Version 9.3, Cary, North Carolina). Descriptive analyses of continuous variables were reported as mean and standard deviations. General linear regression models were conducted to determine the association between age of blood and whole blood processing method independently with cfDNA concentration by spectrophotometry or PicoGreen. Age of blood was analyzed both as a dichotomous variable (with fresh blood denoted as being stored for 14 days or less and older blood denoted as being stored for 15 days or more) and a continuous variable. The interacting effect between age of blood as a dichotomous variable and processing method on cfDNA measurements was also assessed in a separate regression model with an interaction term. Bonferroni adjustment was used for multiple comparisons and results were considered significant at p values of less than 0.025. As a secondary analysis, we also assessed if longer duration before leukoreduction predicted higher levels of cfDNA.

2.4. Sample Size Calculation

In another study analyzing cfDNA levels in stored blood [5], healthy control donors had a mean plasma cfDNA level of approximately 50 ng/mL. The mean level of cfDNA found in nonleukoreduced RBC units stored for 42 days was approximately 100 ng/mL (SD 30 ng/mL), an increase of 100%. We hypothesized that cfDNA will increase by approximately 50% in WBF units compared with RCF units. Calculating sample size using a two-sided test, an alpha of 0.05, and a desired power of 0.80, the sample size for each group was determined to be 48 samples. The method by which a unit of blood is processed is not known when the RBC arrives at the hospital; however, the ratio of RCF and WBF units produced by Canadian Blood Services is approximately 1 : 1; hence, we estimated that sampling 120 RBC units would provide a 95% probability of having at least 48 samples by each production method.

3. Results

120 units were sampled in total, with 60 being fresh units (≤14 days of storage duration) and 60 being older units. Of the 60 fresh units, 48 (80%) had a storage duration of less than 8 days. After the method of processing was provided by Canadian Blood Services, it was determined that 73 units were made with the RCF method and 47 were made by the WBF method.

3.1. WBF Processed RBC Units Had Higher cfDNA Compared to RCF Units Processed Units by PicoGreen

To test our hypothesis that WBF processed RBC units have higher amounts of cfDNA, we compared cfDNA concentrations in WBF and RCF RBC units. cfDNA was significantly higher in WBF RBCs compared to RCF units when quantified by PicoGreen (1.08 ± 0.90 ng/mL versus 0.50 ± 0.77 ng/mL, p = 0.0010) (Table 1). When the interaction between storage duration and processing method was considered for cross-comparisons, fresh WBF RBCs had significantly higher levels of cfDNA than fresh RCF RBCs as measured by PicoGreen (1.16 ± 1.14 ng/mL versus 0.37 ± 0.77 ng/mL, p = 0.0093) (Table 2). No significant difference was seen between cfDNA in WBF and RCF RBCs when measured by spectrophotometry (p = 0.088), although the absolute values were concordant with the findings by PicoGreen. Similar results were obtained when age of blood was analyzed as a continuous variable. In this analysis, there was a trend towards increased cfDNA measured by spectrophotometry in WBF compared to RCF RBCs overall (p = 0.063).

Table 1.

Differences in cfDNA between red blood cells (RBCs) processed by whole blood filtration (WBF) and red cell filtration (RCF).

RBCs processed by WBF RBCs processed by RCF p value
cfDNA by PicoGreen
(mean ng/mL ± SD)
1.08 ± 0.90
(n = 44)
0.50 ± 0.77
(n = 73)
0.0010
cfDNA by Spectrophotometry
(mean µg/mL ± SD)
3.57 ± 1.99
(n = 47)
3.28 ± 1.28
(n = 73)
0.088

Table 2.

The Interaction between storage duration and processing method on differences in cfDNA.

Assay Red cell storage duration Method of whole blood processing p value
Whole blood filtration (WBF) Red cell filtration (RCF)
cfDNA by PicoGreen (mean ng/mL ± SD) Fresh (≤14 days) 1.16 ± 1.14
(n = 15)
0.37 ± 0.77
(n = 44)
0.0093
Older (>14 days) 1.04 ± 0.78
(n = 29)
0.68 ± 0.74
(n = 29)
0.33

cfDNA by spectrophotometry (mean µg/mL ± SD) Fresh (≤14 days) 4.15 ± 2.47
(n = 16)
3.63 ± 1.25
(n = 44)
0.67
Older (>14 days) 3.27 ± 1.65
(n = 31)
2.75 ± 1.15
(n = 29)
0.57

3.2. Fresh RBC Units Had Higher cfDNA Compared to Older RBC Units by Spectrophotometry

Fresh RBCs were found overall to have a significantly higher concentration of cfDNA compared to older RBCs using spectrophotometry (3.77 ± 1.66 μg/mL versus 3.02 ± 1.44 μg/mL, p = 0.0031) (Table 3). This association strengthened when age of blood was analyzed as a continuous variable (p = 0.00066). When the interaction between storage duration and processing method was considered, fresh WBF RBCs had significantly higher cfDNA compared to older RCF RBCs (p = 0.024) (Table 2). No significant difference overall was seen when comparing cfDNA quantified by PicoGreen in fresh compared to older units (p = 0.33), even when age of blood was analysed as a continuous variable (p = 0.39).

Table 3.

Differences in cfDNA between fresh and older blood.

Assay Duration of red blood cell storage p value
Fresh blood
(≤14 days)
Older blood
(>14 days)
cfDNA by PicoGreen
(mean ng/mL ± SD)
0.57 ± 0.93
(n = 59)
0.86 ± 0.78
(n = 58)
0.33
cfDNA by spectrophotometry
(mean µg/mL ± SD)
3.77 ± 1.66
(n = 60)
3.02 ± 1.44
(n = 60)
0.0031

We examined whether longer time to leukoreduction predicted higher levels of cfDNA but did not demonstrate an association, possibly because of relatively small numbers of products for which data was available (n = 32).

4. Discussion

Differences in RBC production method could affect clinical outcomes, with retrospective data suggesting that fresh blood produced by the WBF method could be associated with an increased risk of in-hospital mortality [18]. Retrospective studies of this nature could always be susceptible to confounding; however, if this association is true, biological mechanisms that could explain this finding need to be explored. In this study, we investigated the possibility that cfDNA levels could vary in different RBC products and possibly be an explanation for the clinical observations that have been observed. We found that RBC products produced by the WBF method have higher levels of cfDNA than products produced by the RCF method. We also found that fresh RBC products have higher levels of cfDNA than older products. Hence, the results of this study are consistent with the hypothesis that cfDNA in transfused RBC products could have an impact on patient outcomes.

The results of our study are consistent with other data showing that the in vitro quality of RBCs varies by method of processing and storage duration. RBCs processed by WBF have qualitative differences from RBCs processed by RCF such as higher residual plasma [19], smaller red cell microvesicles [20], higher amounts of hemolysis at expiry, lower ATP levels [21], and higher MCV at expiry [1]. A previous study demonstrated higher mtDNA with RBCs processed by WBF, where our testing for cfDNA encompasses mtDNA as well as nuclear cfDNA [21]. mtDNA may potentially have immunomodulatory properties [11], where nuclear cfDNA may be more procoagulant [7]. The clinical significance of these differences is unclear.

There are several limitations to our study. While we demonstrated the correlation between WBF processed blood with a shorter duration of storage and increased cfDNA compared to RCF blood with a longer duration of storage, we cannot conclusively state that methods of blood preparation and storage duration are causative for our findings. How NETosis is affected by specific processing variables such as temperature, centrifugation force, extraction method, filter design, blood bags used, storage solution, and anticoagulant was not studied in our exploratory analysis. Other variables such as donor characteristics were also not assessed and could also be playing a role in patient outcomes [22]. However, consecutive sampling of units avoids selection bias and our sample size was appropriately conservative to account for potential variation amongst units. We also could not prove that cfDNA is linked to the pathobiology of fresh WBF units causing harm as we did not prospectively follow patients transfused with these units. A prospective study to link clinical outcomes would require a much larger sample size to demonstrate a conclusive effect.

A second issue is the difficulty in measurement of cfDNA. We found poor correlation between cfDNA levels measured by the two methods. This could be due to differences in sensitivities and specificities of each assay, where PicoGreen is specific for double-stranded DNA. The significance of single-stranded DNA and double-stranded DNA is unknown. Both assays are potentially affected by protein contamination, most notably with the spectrophotometry method. We also observed a high degree of variance with cfDNA measurements, where donor factors, specific parameters within whole blood processing, or poor precision in current methods of cfDNA measurement could be potential contributors. However, the higher levels of cfDNA in WBF and in fresher products by both methods, accounting for multiple tests of significance, suggest robustness of this finding. We did not perform testing for histones or nucleosomes. Our results do not differentiate between nuclear and mitochondrial DNA.

Our study has several strengths. We sampled a relatively large number of units in relation to our calculated sample size and explored the effect of duration of storage of blood as well as the method of whole blood processing. Concordance of findings in the quantification of cfDNA increases the robustness of our conclusion of increased cfDNA in fresh compared to older blood and in WBF compared to RCF blood. Our finding that older products had less cfDNA is consistent with results from recent randomized trials comparing fresh to standard issue (older) blood, as these studies have not shown that fresh blood is superior [2325], with some trials suggesting a trend towards harm with fresher blood [18, 24, 26].

A prospective study with patients transfused blood produced via different methods of whole blood processing could link adverse patient outcomes to sampled transfused blood products and recipients. This would allow for testing of cfDNA levels as well as other biomarkers to elucidate the mechanisms by which transfusion of specific types of RBC products lead to adverse patient outcomes. Given its procoagulant nature, potential outcomes linked to cfDNA in RBC units that could be studied prospectively include cardiovascular events such as myocardial infarction, cerebrovascular accidents, or venous thromboses such as deep vein thrombosis and pulmonary embolism. In addition, presence of mtDNA in platelet concentrates has been linked to nonhemolytic transfusion reactions [27]. A prospective study may be able to confirm this finding in RBC units.

In conclusion, our study found that red blood cells processed by the WBF method and red blood cells with a shorter duration of storage were associated with increased concentrations of cfDNA. These findings are consistent with the clinical observations that fresh WBF blood may be associated with increased mortality in transfused patients. Further studies are required to confirm these observations and to understand the pathobiology.

Competing Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

  • 1.Acker J. P., Hansen A. L., Kurach J. D. R., Turner T. R., Croteau I., Jenkins C. A quality monitoring program for red blood cell components: in vitro quality indicators before and after implementation of semiautomated processing. Transfusion. 2014;54(10):2534–2543. doi: 10.1111/trf.12679. [DOI] [PubMed] [Google Scholar]
  • 2.Sheffield W. P., Bhakta V., Jenkins C., Devine D. V. Conversion to the buffy coat method and quality of frozen plasma derived from whole blood donations in Canada. Transfusion. 2010;50(5):1043–1049. doi: 10.1111/j.1537-2995.2009.02555.x. [DOI] [PubMed] [Google Scholar]
  • 3.Heddle N. M., Arnold D. M., Acker J. P., et al. Red blood cell processing methods and in-hospital mortality: a transfusion registry cohort study. The Lancet Haematology. 2016;3(5):e246–e254. doi: 10.1016/s2352-3026(16)00020-x. [DOI] [PubMed] [Google Scholar]
  • 4.Heddle N. M., Eikelboom J. W., Liu Y., Barty R. L., Cook R. J. Mortality, blood storage duration, and method of red cell production: an exploratory analysis. Transfusion. 2012;52:51A–52A. [Google Scholar]
  • 5.Fuchs T. A., Alvarez J. J., Martinod K., Bhandari A. A., Kaufman R. M., Wagner D. D. Neutrophils release extracellular DNA traps during storage of red blood cell units. Transfusion. 2013;53(12):3210–3216. doi: 10.1111/trf.12203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Brinkmann V., Reichard U., Goosmann C., et al. Neutrophil extracellular traps kill bacteria. Science. 2004;303(5663):1532–1535. doi: 10.1126/science.1092385. [DOI] [PubMed] [Google Scholar]
  • 7.Gould T. J., Vu T. T., Swystun L. L., et al. Neutrophil extracellular traps promote thrombin generation through platelet-dependent and platelet-independent mechanisms. Arteriosclerosis, Thrombosis, and Vascular Biology. 2014;34(9):1977–1984. doi: 10.1161/ATVBAHA.114.304114. [DOI] [PubMed] [Google Scholar]
  • 8.Semeraro F., Ammollo C. T., Morrissey J. H., et al. Extracellular histones promote thrombin generation through platelet-dependent mechanisms: involvement of platelet TLR2 and TLR4. Blood. 2011;118(7):1952–1961. doi: 10.1182/blood-2011-03-343061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Xu J., Zhang X., Monestier M., Esmon N. L., Esmon C. T. Extracellular histones are mediators of death through TLR2 and TLR4 in mouse fatal liver injury. Journal of Immunology. 2011;187(5):2626–2631. doi: 10.4049/jimmunol.1003930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Abrams S. T., Zhang N., Manson J., et al. Circulating histones are mediators of trauma-associated lung injury. American Journal of Respiratory and Critical Care Medicine. 2013;187(2):160–169. doi: 10.1164/rccm.201206-1037OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Zhang Q., Raoof M., Chen Y., et al. Circulating mitochondrial DAMPs cause inflammatory responses to injury. Nature. 2010;464(7285):104–107. doi: 10.1038/nature08780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bhagirath V. C., Dwivedi D. J., Liaw P. C. Comparison of the proinflammatory and procoagulant properties of nuclear, mitochondrial, and bacterial DNA. Shock. 2015;44(3):265–271. doi: 10.1097/shk.0000000000000397. [DOI] [PubMed] [Google Scholar]
  • 13.Caudrillier A., Kessenbrock K., Gilliss B. M., et al. Platelets induce neutrophil extracellular traps in transfusion-related acute lung injury. The Journal of Clinical Investigation. 2012;122(7):2661–2671. doi: 10.1172/jci61303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Xu J., Zhang X., Pelayo R., et al. Extracellular histones are major mediators of death in sepsis. Nature Medicine. 2009;15(11):1318–1321. doi: 10.1038/nm.2053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Dwivedi D. J., Toltl L. J., Swystun L. L., et al. Prognostic utility and characterization of cell-free DNA in patients with severe sepsis. Critical Care. 2012;16(4, article R151) doi: 10.1186/cc11466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Demers M., Krause D. S., Schatzberg D., et al. Cancers predispose neutrophils to release extracellular DNA traps that contribute to cancer-associated thrombosis. Proceedings of the National Academy of Sciences of the United States of America. 2012;109(32):13076–13081. doi: 10.1073/pnas.1200419109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wang D., Sun J., Solomon S. B., Klein H. G., Natanson C. Transfusion of older stored blood and risk of death: a meta-analysis. Transfusion. 2012;52(6):1184–1195. doi: 10.1111/j.1537-2995.2011.03466.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Heddle N. M., Cook R. J., Arnold D. M., et al. The effect of blood storage duration on in-hospital mortality: a randomized controlled pilot feasibility trial. Transfusion. 2012;52(6):1203–1212. doi: 10.1111/j.1537-2995.2011.03521.x. [DOI] [PubMed] [Google Scholar]
  • 19.Jordan A., Acker J. P. Determining the volume of additive solution and residual plasma in whole blood filtered and buffy coat processed red cell concentrates. Transfusion Medicine and Hemotherapy. 2016;43(2):133–136. doi: 10.1159/000441959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bicalho B., Pereira A. S., Acker J. P. Buffy coat (top/bottom)- and whole-blood filtration (top/top)-produced red cell concentrates differ in size of extracellular vesicles. Vox Sanguinis. 2015;109(3):214–220. doi: 10.1111/vox.12272. [DOI] [PubMed] [Google Scholar]
  • 21.Bakkour S., Acker J. P., Turner T. R., Chafets D. M., Lee T.-H., Busch M. P. Processing method affects mitochondrial DNA release in stored red blood cells. Transfusion. 2015;55, article 80A doi: 10.1111/vox.12390. [DOI] [PubMed] [Google Scholar]
  • 22.Middelburg R. A., Briët E., van der Bom J. G. Mortality after transfusions, relation to donor sex. Vox Sanguinis. 2011;101(3):221–229. doi: 10.1111/j.1423-0410.2011.01487.x. [DOI] [PubMed] [Google Scholar]
  • 23.Fergusson D. A., Hebert P., Hogan D. L., et al. Effect of fresh red blood cell transfusions on clinical outcomes in premature, very low-birth-weight infants: the aripi randomized trial. The Journal of the American Medical Association. 2012;308:1443–1451. doi: 10.1001/2012.jama.11953. [DOI] [PubMed] [Google Scholar]
  • 24.Lacroix J., Hébert P. C., Fergusson D. A., et al. Age of transfused blood in critically ill adults. The New England Journal of Medicine. 2015;372(15):1410–1418. doi: 10.1056/nejmoa1500704. [DOI] [PubMed] [Google Scholar]
  • 25.Steiner M. E., Ness P. M., Assmann S. F., et al. Effects of red-cell storage duration on patients undergoing cardiac surgery. The New England Journal of Medicine. 2015;372(15):1419–1429. doi: 10.1056/nejmoa1414219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Aubron C., Syres G., Nichol A., et al. A pilot feasibility trial of allocation of freshest available red blood cells versus standard care in critically ill patients. Transfusion. 2012;52(6):1196–1202. doi: 10.1111/j.1537-2995.2011.03437.x. [DOI] [PubMed] [Google Scholar]
  • 27.Yasui K., Matsuyama N., Kuroishi A., Tani Y., Furuta R. A., Hirayama F. Mitochondrial damage-associated molecular patterns as potential proinflammatory mediators in post-platelet transfusion adverse effects. Transfusion. 2016;56(5):1201–1212. doi: 10.1111/trf.13535. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Blood Transfusion are provided here courtesy of Wiley

RESOURCES