From the Department of Immunohematology and Blood Bank, Leiden University
Medical Centre (L.M.G.v.d.W., J.G.A.H., A.B., M.S.H.); Red Cross Blood Bank
Leidsenhage, Leiden, The Netherlands (L.M.G.v.d.W., A.B.); the Department of
Medical Statistics, Leiden University (J.H.); the Department of Infectious
Diseases, Leiden University Medical Centre, The Netherlands (P.J.v.d.B.); the
Department of Cardiothoracic Surgery, Leiden University Medical Centre, The
Netherlands (H.B., H.A.H.); and the Department of Anaesthesiology, Leiden
University Medical Centre, The Netherlands (F.B.).
Correspondence to Dr A. Brand, Blood Bank Leidsenhage, Albinusdreef 2, Bldg 1, E4-67, PO Box 2184, 2301 CD Leiden, Netherlands. E-mail lvdwat{at}stad.dsl.nl
Methods and ResultsPatients scheduled for cardiac surgery
were randomly allocated to receive either packed cells without buffy
coat (PC, n=306), fresh-filtered units (FF, n=305), or stored-filtered
units (SF, n=303) when transfusion was indicated. We evaluated the
periods of hospitalization and stay at the intensive care unit, and the
occurrences of postoperative complications up to 60 days after surgery.
The average hospital stay was 10.7 days, of which 3.2 days were in the
intensive care unit, without significant differences between the
groups. In the PC trial arm, 23.0% of the patients had infections
versus 16.9% and 17.9% of the patients in the leukocyte-depleted
trial arms (P=.13). Within 60 days, 45 patients had died, 24
patients in the PC trial arm (7.8%), versus 11 (3.6%) and 10 (3.3%)
patients in the FF and SF trial arms, respectively
(P=.015).
ConclusionsIn cardiac surgery patients, especially when
more than three blood transfusions are required, leukocyte depletion by
filtration results in a significant reduction of the postoperative
mortality that can only partially be explained by the higher incidence
of postoperative infections in the PC group.
Adult patients undergoing cardiac surgery (bypass and/or valve surgery)
were selected as eligible subjects because they form a large, rather
homogeneous, likely-to-be-transfused, patient group that
routinely receives unfiltered blood products. In this trial, two
comparisons with regard to transfusion policies are made: first, the
use of buffy coatdepleted blood products versus by filtration
leukocyte depleted blood products, and second, when filtration is
applied, the use of prestorage versus poststorage leukocyte depletion.
Accordingly, three trial arms are included. The primary end points of
the study were postoperative infections and HLA antibody formation. For
all study arms the primary and secondary end points in relation to the
type and number of transfusions received were evaluated. The large
amount of work for the antibody screening is still in progress and will
be reported later on. Here we report on the incidence of postoperative
infections and on some of the secondary end points, especially the
duration of hospitalization and the postoperative mortality within 60
days.
Because of logistic reasons it was decided beforehand that patients in
the SF trial arm would receive FF units if no compatible SF units were
in store and when patients in the FF or SF trial arm needed more than
10 units within 48 hours, further transfusions would consist of PC
units. In all trial arms the same transfusion indications were used,
aiming at a hemoglobin level >6.0 mmol/L. The primary end points
of the study were postoperative infections and HLA antibody formation.
Mortality, hospitalization period, and other postoperative
complications were secondary end points. The study size was based on
the requirement to detect a 10% difference in incidence of
postoperative infections and a 15% difference in immunization between
standard (PC) and filtered (FF/SF) blood.
Patient Population
Blood Products
Postoperative Bacterial Infections
Mortality
Analyses and Statistics
In the analyses, three trial arms (PC versus FF versus SF) were
compared; when indicated, nonfiltered versus leukocyte depleted,
filtered transfusions (PC versus LD; LD=FF+SF) were also
analyzed. For the infection analyses, 5 patients who
had died during (the day of) surgery were excluded.
The first analyses were performed according to randomization
(intention to treat), using all 914 patients. Since the postoperative
effects of transfused blood were the main subject of the trial, in an
additional analysis (according to transfusion) patient groups
were made according to the actually received type of blood, and
subgroups were defined according to the number of transfusions
received. In the analysis according to transfusion, the 10
patients who, because of clerical errors had solely received a type of
blood they had not been randomized for (transfusion violations), were
crossed over to the group of the actually received type of blood. The
66 patients who had received more than one type of blood, either
because of clerical error or because they needed >10 units within 48
hours, remained in their original trial arm.
For comparison of discrete parameters,
Postoperative Infections
For the analysis of the postoperative infections according to
transfusion specified in Table 4
Hospitalization
The analysis according to transfusion revealed a small
(clinically not relevant) difference in time spent in the ICU between
the PC-transfused and the leukocyte-depletedtransfused group (3.54
versus 3.19 days, P=.043).
Mortality
In the analysis according to transfusion, the mortality within
60 days was significantly lower in the patient groups that had received
at least part of the transfusions as leukocyte-depleted blood (FF or
SF) compared with the patient group that has received solely PC units
(P=.025, Table 5
Analysis of Risk Factors for Mortality
In a multivariate logistic regression analysis
with all univariately significant preoperatively known risk
factors, type of surgery (P<.001), age (P=.002),
history of myocardial infarction (P=.002), previous open
heart surgery (P=.005), preoperative platelet count
(P=.006), PC trial arm (P=.012), and sex
(P=.043) are all shown to have independent prognostic value
for the postoperative mortality. The number of blood transfusions
received and the duration of surgery as postoperatively known risk
factors can give extra information if added to this model. When the
number of blood transfusions received is added, it becomes the most
important risk factor (P<.001), whereas age
(P=.004), history of myocardial infarction
(P=.005), PC trial arm (P=.009), type of surgery
(P=.015), and preoperative platelet count
(P=.023) remain as independent risk factors. With also
entering the duration of surgery into the model, type of surgery looses
its statistical significance (P=.096), whereas the other
risk factors and their probability values hardly change.
The difference in duration of hospitalization between the trial arms
did not reach statistical significance. The stay in the ICU tended to
be longer for the PC-transfused patients (P=.043). However,
this difference in duration of ICU stay is small (0.35 day) and may not
be of clinical significance. Postoperative bacterial infections
occurred in 19.1% of the patients and were dose-dependently related to
the number of transfusions in all trial arms, as was reported earlier
in cardiac surgery patients.21 Infections were more common
in the PC trial arm, and this difference with the leukocyte-depleted
arms reached statistical significance in the heavily transfused (>3
blood transfusions) patients (Table 4
In this study, no posttransfusional differences were found between
patients transfused with FF units and those transfused with SF units.
Our observations pose some intriguing questions, especially concerning
the underlying mechanism(s) of reduced mortality, since several
components of the transfused blood may be involved. The
production of histamine, serotonin, elastase,
and acid phosphatase22 23 24 25 26 by the remaining granulocytes
and of proinflammatory cytokines as interleukin-1ß, tumor
necrosis factor-
Microaggregates composed of disintegrated leukocytes,
platelets, and fibrinogen formed in the PC and SF units during
storage do not pass a polyester fiber filter28 and are
therefore only transfused with PC units. They may cause nonspecific
immunosuppression by impairment of the mononuclear phagocytosis
functions, leading to decrease of clearance of bacteria introduced
during surgery.29 A role of microaggregates in the
increased infection rates after PC transfusions therefore cannot be
excluded, but the higher mortality was not solely explained by the
increase in infections.
A further explanation for the beneficial effect of filtration that must
be considered are the remaining leukocytes that are actually
transfused.30 In a recent study, Jensen et
al10 found a significant increase in postoperative
infections in patients transfused with more than 2 PC units (which
contained an equal amount of leukocytes as 3 PC units in our study)
compared with patients transfused with filtered red cells. In a prior
study in colorectal carcinoma patients (n=871), we observed no
difference in survival or in postoperative infections between patients
transfused with PC (also buffy coatdepleted) or filtered red
cells.9 However, only 254 patients (22.9%) in the
colorectal carcinoma study received more than three blood transfusions
compared with 512 patients (56.0%) in the present study. This may
partly explain the results in the three studies. Moreover, in both
studies that we performed there is a deleterious role of blood
transfusions that was also present in receivers of filtered red
cells.9 Apart from receiving more blood transfusions
compared with colorectal carcinoma patients are the patients in the
present study exposed to artificial surfaces during CPB. This
results in activation of platelets, leukocytes, coagulation, and
the complement system.31 32 Blood transfusions were mostly
given at the end of surgery, after which transfused leukocytes,
activated during storage, are introduced to already
activated inflammatory response systems,33 34 35 thus
aggravating tissue damage through cytokines and oxygen radical
release.36 37 Transfusion may not only enhance the
systemic inflammatory response but also spread an otherwise localized
phenomenon. However, because only a small group develops multiorgan
failure, there must be additional unknown factors making patients
susceptible to multiorgan failure.30 38
Because the difference in mortality concerns a small percentage of
patients, this difference in mortality could only be revealed by
analyzing a large number of patients who received large numbers of
blood transfusions. The decrease in mortality by using
leukocyte-depleted blood is an absolute 4% of the operated population.
Considering the large numbers of cardiac surgery performed, this is a
substantial decrease in absolute numbers of death.
From this study we conclude that when, in cardiac surgery, more
than 3 units of blood are transfused, leukocyte depletion of blood
transfusions results in a significantly decreased mortality.
Nevertheless, since our observation is new and associated with
increased costs for transfusion, it is urgent to confirm our results
and investigate the clinical risk factors and the underlying
mechanism(s) before changing transfusion guidelines.
Received July 25, 1997;
revision received October 9, 1997;
accepted October 15, 1997.
© 1998 American Heart Association, Inc.
Clinical Investigation and Reports
Beneficial Effects of Leukocyte Depletion of Transfused Blood on Postoperative Complications in Patients Undergoing Cardiac Surgery
A Randomized Clinical Trial
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Abstract
Top
Abstract
Introduction
Methods
Results
Discussion
References
BackgroundLeukocytes in transfused blood are associated with
several posttransfusion immunomodulatory effects. Although leukocytes
play an important role in reperfusion injury, the contribution of
leukocytes in transfused blood products has not been investigated.
To estimate the role and the timing of leukocyte filtration of red
cells in cardiac surgery, we performed a randomized study.
Key Words: leukocytes blood surgery mortality coronary disease
![]()
Introduction
Top
Abstract
Introduction
Methods
Results
Discussion
References
Transfusion of allogenic leukocytes may result in
unwanted transfusion sequelae1 2 such as HLA-antibody
formation,3 transmission of viruses,4
febrile transfusion reactions, graft versus host
disease,5 and, ex vivo, the depression of lymphocyte
transformation tests6 and natural killer cell
functions.7 Hampered wound healing, increased risk of
anastomotic leakage, and postoperative infections are also shown to be
related to perioperative blood
transfusions,7 8 9 and in some studies even a role for
transfused leukocytes was observed.8 10 Filtration of
allogenic blood products to remove leukocytes contributes to
reduction of alloimmunization1 2 and cytomegalovirus
transmission.4 Whether the filtration of blood is
beneficial with regard to postoperative infections compared with modest
leukocyte depletion by buffy coat removal still remains
open.9 10 Moreover, it is not known whether prestorage
leukocyte depletion (ie, filtration within 24 hours after donation) or
poststorage depletion (ie, filtration shortly before transfusion) is
preferred. Poststorage filtration does not remove leukocyte fragments
that are formed during storage and it does not prevent cytokine
production during storage,11 12 13 14 but it does remove
the microaggregates formed by leukocyte fragments and platelets. On
the basis of animal experiments evaluating leukocyte antibody formation
or growth enhancement of tumors, it is advised to filter the blood
within 24 to 36 hours after donation.14 Because there are
no conclusive results concerning this topic in humans,15
we designed a single-center, randomized, controlled clinical trial in
cardiac surgery patients.
![]()
Methods
Top
Abstract
Introduction
Methods
Results
Discussion
References
Study Design
The trial protocol was approved by the ethical committee and
informed consent was obtained from the patients. Before cardiac
surgery, patients were, by means of a randomization list at the
hospital transfusion service, randomly allocated to one of the
following three trial arms: (1) the PC trial arm, in which when
transfusion was indicated, standard packed cells (PC) without buffy
coat were transfused, (2) the prestorage filtration FF trial arm, in
which when transfusion was indicated, freshly filtered (ie, <24 hours
after donation) units were transfused, and (3) the poststorage
filtration SF trial arm, in which when transfusion was indicated, 6- to
20-day stored packed cells without buffy coat were filtered shortly
before transfusion.
Adult patients undergoing coronary artery bypass graft
(CABG) surgery, cardiac valve surgery, or a combination of both, who
had not received blood within the last 6 months, were eligible. Nine
hundred forty-four patients were randomized between March 1992 and
August 1994. Thirty patients were excluded from analysis: 19
patients because they were shown to have received blood transfusions
within the last 6 months before surgery and 11 because cardiac surgery
was cancelled for various reasons. The included population therefore
consisted of 914 patients. The surgeons and anesthetists were blind to
the randomization result. All patients were cooled systemically to
27°C, and the same cardiopulmonary bypass (CPB) circuits with
a 40-µm arterial filter were used in all trial arms.
Antibiotic prophylaxis was given for 24 hours with CABG and for 48
hours with valve or combined surgery. After termination of the CPB,
heparin was neutralized (1 vol/vol) with protamine sulfate. Further
adjustments with protamine were guided by the activated
clotting time (ACT).
For all trial arms the shelf life of the blood (ie, time between
donation and transfusion) had to be between 7 and 21 days. The packed
cells were prepared by the standard procedure of spinning whole blood
in citrate-phosphate-dextrose (CPD) solution (500±50 mL blood in 73 mL
CPD) at 3000g for 10 minutes with subsequent extraction of
plasma and buffy coat. PC were reconstituted with 100 mL SAG-Mannitol.
The average remaining leukocyte content was (mean±SD)
0.8±0.5x109 leukocytes per unit PC as counted by
hemocytometry (Sysmex K1000, TOA Medical Electronics Europe). The FF
units were prepared by passing a <24-hours-old unit of PC (prepared as
described above) through a Cellselect-Optima leukocyte filter (NPBI,
Emmer-compascuum, which is also merchandized as Erypur-Optima, Organon
Technica), a nonwoven polyester flatbed filter. The SF units were
prepared by passing a 6- to 20-day stored unit of PC through a
Cellselect-Optima leukocyte filter. The Nageotte counting chamber was
used for counting leukocytes in the filtered products; the average
leukocyte content (mean±SD) was 1.2±1.4x106 per FF unit
and 1.1±1.4x106 per SF unit.
For diagnosing postoperative bacterial infections the US CDC
(Centers for Disease Control and Prevention) definitions for nosocomial
infections were used.16 Only respiratory tract infections
(positive sputum culture and at least two of the following symptoms:
fever, pulmonary infiltrate on radiograph, or clinical signs
and symptoms), bacteriuria (positive urine culture with
>105 white blood cells/mL with fever and/or clinical
symptoms of cystitis), bacteremia (>1 positive blood culture, fever,
and septic shock symptoms), and wound infections (positive wound fluid
culture and local symptoms or abscess), were found in the study
population.
Patient survival was registered until day 60. Many patients
concluded their postoperative contact with the thrombosis services
between day 60 and day 90 and were thereafter controlled only by their
local cardiologist.
Demographic, clinical, blood transfusion, and laboratory data
were collected and checked with the patient records and the
hospital computer information system. These data were entered into a
database and converted to SPSS for statistical analysis.
2
statistics were applied. Comparison of continuous
parameters was done with ANOVA or the Kruskal-Wallis test.
Mortality within 60 days was analyzed with Kaplan-Meier curves
and log-rank analyses. As a yes/no phenomenon, mortality within
60 days was multivariately analyzed with
logistic regression to identify risk factors.
![]()
Results
Top
Abstract
Introduction
Methods
Results
Discussion
References
Patient Characteristics
The patients in the three trial arms are comparable with
respect to patient characteristics and clinical variables (Table 1
). As a university hospital, we have a
regional function in performing more complex surgery on more high-risk
patients. This is reflected by 30% of the patients being older than 70
years, 60% of the patients undergoing CABG having a history of
myocardial infarction, and 75% of the bypasses being a venous graft.
In our group of 914 relatively high-risk patients, 48 did not receive
any blood transfusion, 777 received 1 to 10 blood transfusions (mean,
5.5; median, 4), and 89 needed more than 10 transfusions (mean, 16.9;
median, 14). These different transfusion categories are equally
distributed over the three trial arms. Transfusion violations caused by
clerical errors were found three times in the FF and seven times in the
SF arm; 23 patients in the FF trial arm and 43 patients in the SF trial
arm received, according to protocol, additional blood products from
another trial arm (Table 2
).
View this table:
[in a new window]
Table 1. Patient Characteristics
View this table:
[in a new window]
Table 2. Transfusion Characteristics
Considering all 909 patients at risk for postoperative infection,
195 bacterial infections occurred in 175 patients (19.3%). Of these,
96 patients were diagnosed with a respiratory tract infection, 65
patients had a period of bacteriuria, 19 patients had bacteremia, and
15 had a wound infection, of which 4 developed a mediastinitis.
Bacterial infections were seen more frequently in the PC trial arm: 78
infections in 70 patients (23.0%) versus 58 in 51 (16.9%) and 59
infections in 54 patients (17.9%) in the FF and SF trial arms,
respectively. This difference was not statistically significant in the
intention-to-treat analysis (P=.13, Table 3
).
View this table:
[in a new window]
Table 3. Intention-to-Treat Analyses
, 861
patients were evaluable. The infection rate was 23.5% in the
PC-transfused group versus 17.9% in both the FF- and the SF-transfused
groups (8.3% in nontransfused). With the subgroup analysis of
patients transfused with >3 units of blood, the infection rates became
31.4% in the PC-transfused group versus 23.8% and 21.3% in the FF-
and SF-transfused groups, respectively. When the PC-transfused patients
are compared with the LDtransfused patients, it shows a clear and
significant lower infection rate in the patient group receiving
leukocyte-depleted blood transfusions (P=.04).
View this table:
[in a new window]
Table 4. Types of Bacterial Infections, Analysis
According to Transfusion
The average hospitalization period was 10.7±7.2 days (mean±SD)
for the total population and showed no significant differences between
the trial arms (P=.62). The patients in the PC trial arm
spent on average 3.5 days in the intensive care unit (ICU) versus 3.2
and 3.0 days for FF and SF patients, respectively (P=.095,
Table 3
).
The analysis on mortality within 60 days after surgery
shows a significant difference among the three trial arms. Twenty-four
patients died in the PC group versus 11 in the FF group and 10 in the
SF group (7.8% versus 3.6% versus 3.3%, P=.019,
Table 3
). The number of patients who died of cardiac causes (ie,
infarction, congestive heart failure, or arrhythmia) is
slightly but not significantly higher in the PC trial arm. A highly
significant difference is found in the number of patients who died of
noncardiac causes such as multiorgan failure or dehiscence of the
aortic bypass anastomosis (P=.001, Table 3
).
). The number
of blood transfusions shows a clear dose-effect relation with the
chance on postoperative mortality with all three types of blood. No
difference in mortality between the transfusion groups is observed when
1 to 3 units of blood were transfused. In case of four or more
transfusions, the difference is statistically significant. When the FF-
and the SF-transfused groups are combined in the LD-transfused group,
the postoperative mortality is 12.5% in the PC-transfused group versus
5.1% in the LDtransfused group (P=.005).
View this table:
[in a new window]
Table 5. Mortality Rate at Day 60, Analysis According
to Transfusion
In view of the significant findings with respect to mortality, the
analysis of risk factors will be restricted to this outcome
measure. In a univariate analysis, the following
preoperatively known risk factors for postoperative mortality are
revealed: older age (P<.001), type of surgery
(P<.001), previous open heart surgery (P=.008),
preoperative platelet count (P=.009), PC trial arm
(P=.015), history of myocardial infarction
(P=.037), and female sex (P=.039). No
statistically significant association between postoperative mortality
and presence of aortic insufficiency (P=.07), preoperative
hematocrit value, preoperative leukocyte count, weight, height,
previous surgery, or presence of cardiac decompensation is found. The
most important (P<.001) peroperativelyand immediate
postoperatively known risk factors found are the number of blood
transfusions received, duration of surgery, maximum
creatinine phosphokinaseMB (CK-MB) level, and
minimum platelet count.
![]()
Discussion
Top
Abstract
Introduction
Methods
Results
Discussion
References
As a new and unexpected finding (not previously reported), a
significantly lower mortality was observed in the patients transfused
with filtered leukocyte-depleted blood compared with those who received
transfusions of packed cells without buffy coat (Table 5
). The overall
mortality after cardiac surgery is reported in literature in The
Netherlands varying from 0.8% to 3.8% for simple bypass surgery and
from 5% to >10% in complicated surgery in high-risk
patients.17 18 In our study, with >30% of the patients
being >70 years old, 60% of the bypass patients having a history of
myocardial infarction, 15% of the patients having had prior cardiac
surgery, and only ±25% of the bypasses using a internal mammary
artery, we found an overall mortality of 4.9%. Most of the identified
risk factors for mortality are in agreement with previous published
results19 20 and all were evenly distributed over the
three trial arms (Table 2
). However, in the unquestionably biased
subgroup of deceased patients, this even distribution was not observed.
Preoperative myocardial infarction had occurred in only 12.5% of the
deceased PC patients, whereas it had occurred in 45.5% and 50.0% of
the deceased FF and SF patients, respectively. Although death for all
causes was higher in the PC group, the difference was mainly due to
additional patients dying of multiorgan failure or anastomotic
dehiscence (Table 3
). The observation that patients who underwent a
valve operation, especially when combined with CABG surgery, had more
benefit from leukocyte-depleted blood transfusions than patients who
solely underwent CABG surgery, is probably explained by the number of
blood transfusions administered (mean±SD; CABG, 4.5±4.3; valve,
6.5±6.0; combined, 9.4±7.9) and by the duration of surgery (CABG, 121
minutes; valve, 119 minutes; combined, 178 minutes). When the number of
blood transfusions received and the duration of surgery were entered in
a multivariate analysis, the type of surgery
lost its statistical significance as an independent risk factor for
mortality.
).
, and interleukin-6 by the mononuclear cells during
the initial period of storage cannot be held responsible for the
differences in mortality. In all trial arms the buffy coat was removed
within 6 hours after donation, and the average shelf life of the
transfused products was the same (Table 2
). In the SF units the
same amounts of such "metabolites" will have been produced as in
the PC units, whereas the filtration procedure does not lower the
concentrations of these soluble factors.24 The same
argument applies to leukocyte cell fragments. Such fragments are
equally formed in PC units and SF units, less in FF units, and they
pass the polyester fiber filter used for leukocyte
depletion.27 .
![]()
Acknowledgments
This study was supported in part by a grant from NPBI bv,
Emmer-Compascuum, The Netherlands.
![]()
References
Top
Abstract
Introduction
Methods
Results
Discussion
References
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P. C. Hebert and D. A. Fergusson Do Transfusions Get to the Heart of the Matter? JAMA, October 6, 2004; 292(13): 1610 - 1612. [Full Text] [PDF] |
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S. Desai and M. Manji Minimum haemoglobin in intensive care Trauma, July 1, 2004; 6(3): 187 - 191. [Abstract] [PDF] |
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Y.M. Bilgin, L.M.G. van de Watering, L. Eijsman, M.I.M. Versteegh, R. Brand, M.H.J. van Oers, and A. Brand Double-Blind, Randomized Controlled Trial on the Effect of Leukocyte-Depleted Erythrocyte Transfusions in Cardiac Valve Surgery Circulation, June 8, 2004; 109(22): 2755 - 2760. [Abstract] [Full Text] [PDF] |
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O. Almuslim and D. Leasa Best evidence in critical care medicine: The use of recombinant human erythropoietin to reduce red cell transfusions in critically ill patients Can J Anesth, June 1, 2004; 51(6): 621 - 622. [Full Text] [PDF] |
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J. A van Hilten, L. M G van de Watering, J H. van Bockel, C. J H van de Velde, J. Kievit, R. Brand, W. B van den Hout, R. H Geelkerken, R. M H Roumen, R. M J Wesselink, et al. Effects of transfusion with red cells filtered to remove leucocytes: randomised controlled trial in patients undergoing major surgery BMJ, May 29, 2004; 328(7451): 1281. [Abstract] [Full Text] [PDF] |
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J. L. Carson and J. A. Berlin Will we ever know if leukoreduction of red blood cells should be performed?/Saurons-nous un jour s'il faut proceder a la reduction leucocytaire des culots globulaires ? Can J Anesth, May 1, 2004; 51(5): 407 - 410. [Full Text] [PDF] |
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D. Fergusson, M. P. Khanna, A. Tinmouth, and P. C. Hebert Transfusion of leukoreduced red blood cells may decrease postoperative infections: two meta-analyses of randomized controlled trials: [La transfusion de sang reduit en leucocytes peut diminuer les infections postoperatoires : deux meta-analyses d'etudes randomisees et controlees] Can J Anesth, May 1, 2004; 51(5): 417 - 424. [Abstract] [Full Text] [PDF] |
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E M Heerdt, E J Fransen, J G Maessen, and D S de Jong Efficacy of leukocyte depletion of residual pump blood Perfusion, January 1, 2004; 19(1): 3 - 5. [Abstract] [PDF] |
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M. D. Seftel, G. H. Growe, T. Petraszko, W. B. Benny, A. Le, C.-Y. Lee, J. J. Spinelli, H. J. Sutherland, P. Tsang, and D. E. Hogge Universal prestorage leukoreduction in Canada decreases platelet alloimmunization and refractoriness Blood, January 1, 2004; 103(1): 333 - 339. [Abstract] [Full Text] [PDF] |
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S. Yamada, A. Koizumi, H. Iso, Y. Wada, |