Red blood cell transfusions and the risk of acute respiratory distress syndrome among the critically ill: a cohort study
© Zilberberg et al.; licensee BioMed Central Ltd. 2007
Received: 28 February 2007
Accepted: 6 June 2007
Published: 6 June 2007
Recent data indicate that transfusion of packed red blood cells (pRBCs) may increase the risk for the development of acute respiratory distress syndrome (ARDS) in critically ill patients. Uncertainty remains regarding the strength of this relationship.
To quantify the association between transfusions and intensive care unit (ICU)-onset ARDS, we performed a cohort study within Crit, a multicenter, prospective, observational study of transfusion practice in the ICU which enrolled 4,892 critically ill patients in 284 ICUs in the United States. Diagnostic criteria for ARDS were prospectively defined, and we focused on subjects without ARDS at admission. The development of ARDS in the ICU served as the primary endpoint.
Among the 4,730 patients without ARDS at admission, 246 (5.2%) developed ARDS in the ICU. At baseline, ARDS cases were younger, more likely to be in a surgical ICU, and more likely to be admitted with pneumonia or sepsis than controls without ARDS. Cases also were more likely to have a serum creatinine of greater than 2.0 mg/dl (23% versus 18%) and a serum albumin of less than or equal to 2.3 g/dl (54% versus 30%) and were more severely ill upon ICU admission as measured by either the APACHE II (Acute Physiology and Chronic Health Evaluation II) or SOFA (Sequential Organ Failure Assessment) score (p < 0.05 for all). Sixty-seven percent and 42% of cases and controls, respectively, had exposure to pRBC transfusions (p < 0.05), and the unadjusted odds ratio (OR) of developing ARDS in transfused patients was 2.74 (95% confidence interval [CI], 2.09 to 3.59; p < 0.0001) compared to those never transfused. After age, baseline severity of illness, admitting diagnosis, and process-of-care factors were adjusted for, the independent relationship between pRBC transfusions and ICU-onset ARDS remained significant (adjusted OR, 2.80; 95% CI, 1.90 to 4.12; p < 0.0001).
Development of ARDS after ICU admission is common, occurring in approximately 5% of critically ill patients. Transfusion of pRBCs is independently associated with the development of ARDS in the ICU.
Acute respiratory distress syndrome (ARDS) remains a frequent complication of critical illness and is associated with significant morbidity and mortality. Its age-adjusted incidence rate in the United States exceeds 85 cases per 100,000 person-years, and the case fatality rate is near 40% . Illustrating its burden, Rubenfeld and colleagues  estimated that ARDS leads to 200,000 intensive care unit (ICU) admissions annually and necessitates 3.6 million inpatient days of care.
Multiple insults can lead to ARDS and range from sepsis to trauma [2–5]. Because the manner in which care is delivered to at-risk patients may contribute to ARDS development, there is a need to better understand process-of-care variables in order to identify those factors associated with an increased risk for ARDS which may be amenable to intervention. Packed red blood cell (pRBC) transfusion represents one specific potential aspect of care in the ICU which may be linked to ARDS. Transfusion-related acute lung injury (TRALI), whose incidence may be 1 in 5,000 pRBC units transfused, has long been recognized as a subtype of ARDS and is generally associated with better outcomes than non-TRALI ARDS [6, 7]. Beyond TRALI, though, there is mounting evidence suggesting a nexus between pRBC exposure and ARDS [8–10]. For example, in a study of a conservative transfusion strategy, Hébert and colleagues  reported that patients randomly assigned to a higher hemoglobin target were more likely to develop ARDS. Similarly, Gong and colleagues , in an analysis of 700 patients, noted that transfusion was significantly associated with the evolution of ARDS. Mechanistically, some speculate that pRBC transfusion could promote ARDS because transfusion activates pro-inflammatory cascades [11, 12]. Alternatively, pRBC transfusion alters host defenses, which might predispose to ARDS [13, 14].
Given the potential relationship between pRBC use and ARDS, we hypothesized that pRBC transfusions would be independently associated with the development of ARDS. Additionally, we attempted to determine whether there was a dose-response relationship between the two, with greater amounts of transfusion administration associated with an increased incidence of ARDS.
Materials and methods
This retrospective analysis used data from the Crit study . Crit was a prospective, multicenter, observational study of transfusion practice in ICUs in the United States conducted between August 2000 and April 2001 . A total of 284 ICUs of varying types participated, and the entire study included approximately 5,000 patients. As part of the study, patients had frequent longitudinal assessments of their clinical status and outcomes. Use of pRBCs during and after the ICU stay was also prospectively recorded. Patients were followed until death, hospital discharge, or up to 30 days after ICU admission, whichever occurred first. The institutional review board at each site approved the study, and patients (or their surrogates) provided informed consent. Subsets of this population have since been used to describe transfusion practices in trauma patients , as well as in mechanically ventilated patients , and to explore the relationship of ventilator-associated pneumonia and bloodstream infections to pRBC transfusions [18, 19].
Subjects and endpoints
Only incident cases of ARDS developing in the ICU were included in the analysis. To ascertain incident cases of ARDS, we excluded from the cohort patients who were admitted to the ICU with a diagnosis of ARDS, as this would not represent a case developing following the exposure of interest (that is, pRBC transfusion). The primary endpoint for this analysis was the development of ARDS defined prospectively based on the North American European Consensus Conference definition of ARDS  and relied upon the presence of PaO2/FiO2 (arterial partial pressure of oxygen/fraction of inspired oxygen) of less than or equal to 200 mm Hg, bilateral infiltrates on frontal chest radiograph, pulmonary artery occlusion pressure of less than or equal to 18 mm Hg when measured, or no clinical evidence of left atrial hypertension. All of the ARDS diagnoses were made prospectively by the investigators in the Crit study. The secondary endpoints examined were ICU and hospital lengths of stay, duration of mechanical ventilation, and ICU and hospital mortality rates, comparing the group developing ARDS (cases) to that not developing ARDS (controls).
Ascertainment of the blood transfusion exposure
For the ARDS cases, the pRBC transfusions were examined in the time period prior to or at the visit of the first recorded ARDS complication. For the control group, the pRBC transfusions were observed until the end of the study. We used two approaches to categorize individuals with respect to their transfusion exposure: (a) transfusion status formulated as a dichotomous variable (yes/no) and (b) total amount of pRBCs transfused (1 to 2 units, 3 to 4 units, and more than 4 units).
Identification of potential risk factors
We examined the following potential risk factors for ARDS: patient demographics (age and gender); an admitting diagnosis of pneumonia, sepsis/systemic inflammatory response syndrome (SIRS), neurological disorders, trauma, or post-operative; and ICU type (medical, surgical, or mixed). In addition, we used laboratory data at ICU admission to categorize patients according to the presence or absence of renal failure (defined as serum creatinine of more than 2.0 mg/dl) , serum albumin abnormality (more than 2.3 mg/dl or less than or equal to 2.3 mg/dl) , and hemoglobin levels. Process-of-care variables were also examined: (a) H2 antagonists for ulcer prophylaxis at baseline, (b) treatment with any antibiotic at baseline, and (c) continuous sedation during the observation period, defined as continuous infusion (for at least 24 hours) of any sedative (for example, lorezapam and propofol). For nutritional support, we explored the impact of both parenteral and early enteral nutrition (for example, enteral feeding begun at ICU admission or by ICU day 4) on rates of ARDS.
Two severity-of-illness scores were evaluated during the Crit study: the Acute Physiology and Chronic Health Evaluation II (APACHE II) score and the Sequential Organ Failure Assessment (SOFA) score [21, 22]. For the present analysis, to avoid the issue of collinearity by using both severity measures at baseline and to control for the severity of illness while in the ICU, we employed the baseline APACHE II score and a SOFA score indicator, which were generated as follows: (i) for the ARDS group, we used the SOFA score from the visit immediately preceding the visit with the onset of ARDS, and (ii) for the No ARDS group, we used the highest SOFA score observed in the ICU (that is, the worst condition).
A cohort study design was used to examine the independent association between pRBC transfusion exposure and the development of incident ARDS. Univariate descriptive statistics were generated for the ARDS and No ARDS groups. Continuous data were summarized as mean and standard deviation, and the Student t test was employed when comparisons of means between the case and control groups were made. Categorical variables were reported as frequency distributions, and chi-square tests were used to test whether the frequency distributions were different between the cases and controls.
To avoid immortal time bias, which generally tends to exaggerate the association between exposure and outcome, multivariate analysis adjusting for time at risk for the outcome event was further conducted to determine independent risk factors for ARDS. Adjusted odds ratios (ORs) of developing ARDS were calculated for the presence of pRBC transfusions, as well as for units of pRBC transfused, by means of stepwise logistic regression analysis to control for covariates. Covariates included in the final regression model were those significant at an alpha level (determined a priori) of 10% (that is, p value of less than or equal to 0.10) or those with biologic plausibility of relating to ARDS (for example, age, pneumonia, and trauma). The covariates examined were divided into demographic variables, ICU type, admitting diagnosis, severity of illness, comorbid diseases, laboratory data, and ICU processes of care. Because biases may arise from the fact that subjects staying on study for a longer duration of time may have a higher likelihood of developing ARDS, we also incorporated into the model a control variable representing the at-risk time interval between study enrollment and time of first ARDS onset for the cases and between study enrollment and ICU discharge for the controls. Adjusted ORs and their corresponding 95% confidence intervals (CIs) are reported. All tests were two-tailed, and a p value of less than 0.05 was predetermined to represent statistical significance. Analyses were carried out using the SAS version 9.1 (SAS Institute Inc., Cary, NC, USA) software package.
Univariate analysis of potential risk factors for ARDS
No ARDS (n = 4,484)
ARDS (n = 246)
Unadjusted odds ratio
Age in years, mean (SD)
Men, number (percentage)
Admitting diagnosisa, number (percentage)
Sepsis/Systemic inflammatory response syndrome
ICU type, number (percentage)
Nutrition at baseline or ICU day 3–4a, number (percentage)
Total parental nutrition
No nutrition or none recorded
Process of care, number (percentage)
Antibiotics at baseline
H2 antagonist at baseline
Antibiotics and H2 antagonist
Antibiotics and continuous sedation
H2 antagonist and continuous sedation
Antibiotics, H2 antagonist, and sedation
No process of care
Severity of illness, mean (SD)
Baseline APACHE II score
SOFA score indicator
Laboratory data at baseline
Serum creatinine > 2.0 mg/dl, number (percentage)
Albumin ≤ 2.3 g/dl, number (percentage)
Hemoglobin in g/dl, mean (SD)
Any transfusion, number (percentage)
Units transfused, mean (SD)
With respect to pRBC transfusion exposure, 2/3 (66.7%) of all ARDS cases had received a transfusion during the observation period compared to 42.2% (unadjusted OR, 2.74; 95% CI, 2.09 to 3.59) of the controls, suggesting an increasing incidence of ARDS as a function of transfusion status. Additionally, on average, patients developing ARDS received significantly more blood than the controls (3.8 versus 1.8 units per patient transfused, respectively; p < 0.0001), and there was a dose-response relationship observed between the amount of blood transfused and the risk of ARDS development such that unadjusted ORs relative to no transfusion were as follows: 1 to 2 units, 2.24 (95% CI, 1.60 to 3.14); 3 to 4 units, 2.33 (95% CI, 1.55 to 3.51); and more than 4 units, 3.89 (95% CI, 2.78 to 5.44) (p < 0.05 for all).
Multivariate analysis of independent risk factors for acute respiratory distress syndrome
Adjusted odds ratioa,b
95% confidence limits
Age of patient: ≥ 65 years old (reference: < 65 years old)
Admitting diagnosis (reference: no)
Sepsis/Systemic inflammatory response syndrome
Surgical ICU (reference: medical ICU and combined)
Severity of illness
SOFA score indicator (continuous variable)
Process of care (reference: no)
H2 antagonists at baseline
Nutritional status at baseline or ICU day 3–4 (reference: no)
Total parental nutrition
Laboratory data at baseline
Albumin ≤ 2.3 mg/dl (reference: no)
Hemoglobin level (continuous variable)
Any transfusion (yes/no)
Transfusion exposure (reference: no transfusion)c
1–2 units transfused
> 2 units transfused
Hospital and ICU outcomes during hospitalization period
No ARDS (n = 4,484)
ARDS (n = 246)
Length of stay in days, mean (SD)
Hospital length of stay
ICU length of stay
On ventilator at ICU admission, number (percentage)
Duration on ventilator in days, mean (SD)
Hospital mortality, number (percentage)
ICU mortality, number (percentage)
This secondary analysis of a prospective cohort of critically ill patients indicates that pRBC transfusion is associated with an increased risk of developing ARDS. This link is independent of multiple variables, including other important potential confounders such as severity of illness and reason for ICU admission. Furthermore, there appears to be a dose-response relationship between pRBC use and development of ARDS; receiving more pRBC units raises the likelihood of subsequent ARDS. In addition, progression to ARDS in the ICU substantially prolonged the duration of mechanical ventilation and was associated with a poor prognosis.
Three prior studies have focused expressly on ARDS as it relates to pRBC transfusion practice [8–10]. Hébert and colleagues  randomly assigned critically ill patients to withhold transfusions at or above a hemoglobin level of 7 versus 10 mg/dl. Despite receiving fewer units of pRBCs, those in the conservative hemoglobin arm (that is, 7 mg/dl) had similar overall survival rates compared to those in the comparator group. With respect to ARDS, 7.7% of those randomly assigned to the lower hemoglobin threshold developed ARDS versus 11.4% of those in the higher target cohort (p = 0.06). Kahn and colleagues  noted that pRBC transfusion independently more than doubled the probability of ARDS among a group of individuals suffering a subarachnoid hemorrhage. Gong and colleagues , in an analysis similar to ours, studied a mixed population of 688 critically ill patients at risk for ARDS. ARDS developed in approximately one third of the population. Adjusting for several covariates indicated that pRBC transfusion was significantly related to a diagnosis of ARDS and, importantly, was also associated with a greater mortality rate.
Our observations build on these earlier reports and confirm a relationship between pRBC exposure and ARDS. In contrast to Hébert and colleagues , Kahn and colleagues , and Gong and colleagues , we were able to control for multiple processes of care beyond transfusion practice alone. For example, we could adjust for use of continuous sedation. Likewise, we were able to consider severity of illness not only at ICU entry (APACHE II score), but also immediately prior to the onset of ARDS (SOFA score). This is important because as patients remain in the ICU their severity of illness changes. Failure to evaluate the evolution in disease severity might lead one to find a relationship where, in fact, the observation is simply a marker for alterations in severity of illness. Moreover, unlike the studies by Kahn and colleagues  and Gong and colleagues , ours is derived from a multi-institutional registry, and this underscores the likely generalizability of our data. An additional strength of our study stems from the large sample size. Having nearly 5,000 subjects to analyze afforded us statistical power to assess multiple covariates that other reports could not take into consideration.
Among other factors that we found were correlated with ARDS, several merit comment. Prior analyses of 'risk factors' for ARDS have not investigated either continuous sedation or early enteral feeding as potential process-of-care issues that could promote ARDS [2–5, 9]. The impact of continuous sedation likely arises from the fact that this strategy (as compared to intermittent sedation protocols) prolongs the time on mechanical ventilation and hence the risk for ventilator-associated lung injury. On the other hand, since continuous sedation remained an independent predictor of ARDS after the period of observation was controlled for, it could be that this is simply a surrogate marker for severity of illness which is not captured by traditional scoring tools. The correlation between early enteral feeding could reflect the fact that this approach to nutrition heightens the probability of either gross aspiration or microaspiration. Both of these variables merit scrutiny in future analyses. As such, our work serves to generate hypotheses for future research.
Why might transfusion correlate with the development of ARDS? In fact, what is diagnosed as ARDS in the critically ill population may represent TRALI. Thus, the proposed mechanisms for TRALI – (a) alloimmunization of the recipient white cells by the donor anti-leukocyte  and monocyte antibodies  and (b) a response to biologically active lipids originating in donor plasma [24–27], resulting in an oxidative burst leading to degranulation of neutrophils after some priming event – could underlie the more general relationship we note between pRBC use and ARDS. Alternatively, several studies have shown that pRBCs contain multiple pro-inflammatory cytokines that, when infused into a susceptible subject, could potentially tip the balance and lead to a dysregulation of multiple cascades that have their clinical manifestation as acute lung injury [28–30]. Thus, transfusion promotes inflammation directly as demonstrated in studies that measure serial levels of interleukin-6 in the recipient following pRBC administration . On the other hand, residual donor white blood cells could promote T-cell activation [29, 30], which, in turn, could result in subtle changes in the host's immune status, predisposing him or her to infection. Whatever the mechanism, it may vary from individual to individual based on genetics and proteomics.
Our findings should give physicians pause when considering transfusion in persons at risk for ARDS. Evidence continues to mount that transfusion increases the risk for multiple adverse consequences ranging from bloodstream infections to nosocomial pneumonia [18, 19, 31–38]. A recent prospective study by Taylor and colleagues  explored the impact of pRBC use on subsequent rates of nosocomial infection. Although they pooled all types of infection into a common endpoint, they concluded that transfusion independently increases the risk for infection. In other analyses looking at distinct forms of nosocomial infection, such as pneumonia or bloodstream infection [18, 19, 33], researchers have reached similar conclusions regarding the potential deleterious effects of transfusion. All of these reports, including our own, are necessarily limited in that they can demonstrate only association rather than causation. However, given the consistent theme observed in multiple datasets, our results should help to shift the burden against assuming that pRBC exposure is free of substantial risk. Bolstering this recommendation to discard the assumption that transfusion is a relatively 'safe' endeavor is the fact that the relationship between pRBCs and ARDS in the present report follows a dose-response relationship. Even small transfusion volumes (for example, 1 to 2 units) convey an increased probability for the development of ARDS.
Our study has a number of significant limitations. First, although the data were collected prospectively, this report represents a retrospective analysis. As such, it is exposed to multiple forms of bias. Second, as our analysis describes observational data and does not derive from a randomized study, we can conclude only that transfusion is associated with the development of ARDS. Causation, therefore, cannot be inferred from our analytic approach. Third, the diagnosis of ARDS was based on a prospectively chosen definition, but these criteria were applied by a diverse group of researchers. Inter-observer variability in the diagnosis of ARDS [39, 40], which has been documented in prior studies, could confound our findings. The large sample size, however, should limit the impact of this variability. Fourth, we lacked information on transfusions given prior to ICU admission. Thus, it is possible that we may have misclassified at least some of the exposure information. However, if present, this misclassification of exposure would be nondifferential and, if anything, would have resulted in a weaker association between transfusions and the development of ARDS than one that actually exists. In that same vein, we did not record information regarding the use of other forms of blood products. Fifth, there may be further variables we did not investigate or record that could have affected our findings. Finally, the Crit trial was conducted prior to the implementation of leukoreduction. Leukoreduction is thought to decrease the immunomodulatory effects of pRBC transfusion. Despite theoretical reasons to hypothesize that leukoreduction might prevent serious infectious and non-infectious complications in critically ill patients, clinical evidence of the benefit of leukoreduction is sparse [41–45]. Nonetheless (and notwithstanding these limitations), our observations are consistent with an emerging literature indicating that transfusion is not benign.
In summary, pRBC use independently correlates with the development of ARDS in ICU patients at risk for this process. The link between transfusion administration follows a dose-response relationship, suggesting that exposure to any pRBC transfusion volume increases the probability for the onset of this severe complication. We urge clinicians to consider this information as they weigh the risks and benefits of transfusion in individual patients and to acknowledge that the burden of proof is shifting to suggest that transfusion avoidance may be the safer paradigm.
Allogeneic red blood cell transfusion is an independent risk factor for the development of acute respiratory distress syndrome (ARDS) in the intensive care unit population.
The association of allogeneic blood exposure and ARDS development follows a dose-response relationship.
This information needs to be included in the clinician's risk-benefit analysis when faced with a transfusion decision for an individual critically ill patient.
- APACHE II:
Acute Physiology and Chronic Health Evaluation II
acute respiratory distress syndrome
intensive care unit
packed red blood cell
systemic inflammatory response syndrome
Sequential Organ Failure Assessment
transfusion-related acute lung injury.
The Crit study and the current analyses were funded by Ortho Biotech Clinical Affairs, LLC.
- Rubenfeld GD, Caldwell E, Peabody E, Weaver J, Martin DP, Neff M, Stern EJ, Hudson LD: Incidence and outcomes of acute lung injury. N Engl J Med 2005, 353: 1685-1693. 10.1056/NEJMoa050333View ArticlePubMedGoogle Scholar
- Hudson LD, Milberg JA, Anardi D, Maunder RJ: Clinical risks for development of the acute respiratory distress syndrome. Am J Respir Crit Care Med 1995, 151: 293-301.View ArticlePubMedGoogle Scholar
- Pepe P, Potkin RT, Reus DH, Hudson LD, Carrico CJ: Clinical predictors of the adult respiratory distress syndrome. Am J Surg 1982, 144: 124-130. 10.1016/0002-9610(82)90612-2View ArticlePubMedGoogle Scholar
- Fowler AA, Hamman RF, Good JT, Benson KN, Baird M, Eberle DJ, Petty TL, Hyers TM: Adult respiratory distress syndrome: risk with common predispositions. Ann Intern Med 1983, 98: 593-597.View ArticlePubMedGoogle Scholar
- Moss M, Bucher B, Moore FA, Moore EE, Parsons PE: The role of chronic alcohol abuse in the development of acute respiratory distress syndrome in adults. JAMA 1996, 275: 50-54. 10.1001/jama.275.1.50View ArticlePubMedGoogle Scholar
- Popovsky MA, Moore SB: Diagnostic and pathogenetic considerations in transfusion related acute lung injury. Transfusion 1985, 25: 573-577. 10.1046/j.1537-2995.1985.25686071434.xView ArticlePubMedGoogle Scholar
- Popovsky MA, Chaplin HC Jr, Moore SB: Transfusion-related acute lung injury: a neglected, serious complication of hemotherapy. Transfusion 1992, 32: 589-592. 10.1046/j.1537-2995.1992.32692367207.xView ArticlePubMedGoogle Scholar
- Hébert PC, Wells G, Blajchman MA, Marshall J, Martin C, Pagliarello G, Tweeddale M, Schweitzer I, Yetisir E: A multicenter randomized, controlled clinical trial of transfusion requirements in critical care. Transfusion Requirements in Critical Care Investigators, Canadian Critical Care Trials Group. N Engl J Med 1999, 340: 409-417. 10.1056/NEJM199902113400601View ArticlePubMedGoogle Scholar
- Gong MN, Thompson BT, Williams P, Pothier L, Boyce PD, Christiani DC: Clinical predictors of and mortality in acute respiratory distress syndrome: potential role of red cell transfusion. Crit Care Med 2005, 33: 1191-1198. 10.1097/01.CCM.0000165566.82925.14View ArticlePubMedGoogle Scholar
- Kahn JM, Caldwell EC, Deem S, Newell DW, Heckbert SR, Rubenfeld GD: Acute lung injury in patients with subarachnoid hemorrhage: incidence, risk factors, and outcome. Crit Care Med 2006, 34: 196-202. 10.1097/01.CCM.0000194540.44020.8EView ArticlePubMedGoogle Scholar
- Biedler AE, Schneider SO, Seyfert U, Rensing H, Grenner S, Girndt M, Bauer I, Bauer M: Impact of alloantigens and storage-associated factors on stimulated cytokine response in an in vitro model of blood transfusion. Anesthesiology 2002, 97: 1102-1109. 10.1097/00000542-200211000-00011View ArticlePubMedGoogle Scholar
- Fransen E, Maessen J, Dentener M, Senden N, Buurman W: Impact of blood transfusions on inflammatory mediator release in patients undergoing cardiac surgery. Chest 1999, 116: 1233-1239. 10.1378/chest.116.5.1233View ArticlePubMedGoogle Scholar
- Blajchman MA, Dzik S, Vamvakas EC, Sweeney J, Snyder EL: Clinical and molecular basis of transfusion-induced immunomodulation: summary of the proceedings of a state-of-the-art conference. Transfus Med Rev 2001, 15: 108-135. 10.1053/tmrv.2001.22614View ArticlePubMedGoogle Scholar
- Vamvakas EC: Transfusion-associated cancer recurrence and postoperative infection: meta-analysis of randomized, controlled clinical trials. Transfusion 1996, 36: 175-186. 10.1046/j.1537-2995.1996.36296181932.xView ArticlePubMedGoogle Scholar
- Corwin HL, Gettinger A, Pearl RG, Fink MP, Levy MM, Abraham E, MacIntyre NR, Shabot MM, Duh MS, Shapiro MJ: The CRIT Study: anemia and blood transfusion in the critically ill – current clinical practice in the United States. Crit Care Med 2004, 32: 39-52. 10.1097/01.CCM.0000104112.34142.79View ArticlePubMedGoogle Scholar
- Shapiro MJ, Gettinger A, Corwin HL, Napolitano L, Levy M, Abraham E, Fink MP, MacIntyre N, Pearl RG, Shabot MM: Anemia and blood transfusion in trauma patients admitted to the intensive care unit. J Trauma 2003, 55: 269-273.View ArticlePubMedGoogle Scholar
- Levy MM, Abraham E, Zilberberg M, MacIntyre NR: A descriptive evaluation of transfusion practices in patients receiving mechanical ventilation. Chest 2005, 127: 928-935. 10.1378/chest.127.3.928View ArticlePubMedGoogle Scholar
- Shorr AF, Duh MS, Kelly KM, Kollef MH, CRIT Study Group: Red blood cell transfusion and ventilator-associated pneumonia: a potential link? Crit Care Med 2004, 32: 666-674. 10.1097/01.CCM.0000114810.30477.C3View ArticlePubMedGoogle Scholar
- Shorr AF, Jackson WL, Kelly KM, Fu M, Kollef MH: Transfusion practice and blood stream infections in critically ill patients. Chest 2005, 127: 1722-1728. 10.1378/chest.127.5.1722View ArticlePubMedGoogle Scholar
- Bernard GR, Artigas A, Brigham KL, Carlet J, Falke K, Hudson L, Lamy M, Legall JR, Morris A, Spragg R: The American-European Consensus Conference on ARDS. Definitions, mechanisms, relevant outcomes, and clinical trial coordination. Am J Respir Crit Care Med 1994, 149: 818-824.View ArticlePubMedGoogle Scholar
- Knaus WA, Draper EA, Wagner DP, Zimmerman JE: APACHE II: a severity of disease classification system. Crit Care Med 1985, 13: 818-829. 10.1097/00003246-198510000-00009View ArticlePubMedGoogle Scholar
- Vincent JL, Moreno R, Takala J, Willatts S, De Mendonça A, Bruining H, Reinhart CK, Suter PM, Thijs LG: The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med 1996, 22: 707-710.View ArticlePubMedGoogle Scholar
- Kopko PM, Pagliaroni TG, Popovsky MA, Muto KN, MacKenzie MR, Holland PV: TRALI: correlation of antigen-antibody and monocyte activation in donor-recipient pairs. Transfusion 2003, 43: 177-184. 10.1046/j.1537-2995.2003.00307.xView ArticlePubMedGoogle Scholar
- Silliman CC, Paterson AJ, Dickey WO, Stroneck DF, Popovsky MA, Caldwell SA, Ambruso DR: The association of biologically active lipids with the development of transfusion-related acute lung injury: a retrospective study. Transfusion 1997, 37: 719-726. 10.1046/j.1537-2995.1997.37797369448.xView ArticlePubMedGoogle Scholar
- Silliman CC, Voelkel NF, Allard JD, Elzi DJ, Tuder RM, Johnson JL, Ambruso DR: Plasma and lipids from stored packed red blood cells cause acute lung injury in an animal model. J Clin Invest 1998, 101: 1458-1467.PubMed CentralView ArticlePubMedGoogle Scholar
- Silliman CC, Boshkov LK, Mehdizadehkashi Z, Elzi DJ, Dickey WO, Podlosky L, Clarke G, Ambruso DR: Transfusion-related acute lung injury: epidemiology and a prospective analysis of etiologic factors. Blood 2003, 101: 454-462. 10.1182/blood-2002-03-0958View ArticlePubMedGoogle Scholar
- Silliman CC, Ambruso DR, Boshkov LK: Transfusion-related acute lung injury. Blood 2005, 105: 2266-2273. 10.1182/blood-2004-07-2929View ArticlePubMedGoogle Scholar
- Kristiansson M, Soop M, Saraste L, Sundqvist KG: Cytokines in stored red blood cell concentrates: promoters of systemic inflammation and simulators of acute transfusion reactions? Acta Anaesthesiol Scand 1996, 40: 496-501.View ArticlePubMedGoogle Scholar
- Vamvakas EC, Blajchman MA: Deleterious clinical effects of transfusion-associated immunomodulation: fact or fiction? Blood 2001, 97: 1180-1195. 10.1182/blood.V97.5.1180View ArticlePubMedGoogle Scholar
- Lee TH, Stromberg RR, Heitman J, Tran K, Busch MP: Quantitation of residual white cells in filtered blood components by polymerase chain reaction amplification of HLA DQ-A DNA. Transfusion 1994, 34: 986-994. 10.1046/j.1537-2995.1994.341195065038.xView ArticlePubMedGoogle Scholar
- Taylor RW, Manganaro L, O'Brien J, Trottier SJ, Parkar N, Veremakis C: Impact of allogenic packed red blood cell transfusion on nosocomial infection rates in the critically ill patient. Crit Care Med 2002, 30: 2249-2254. 10.1097/00003246-200210000-00012View ArticlePubMedGoogle Scholar
- Taylor RW, O'Brien J, Trottier SJ, Manganaro L, Cytron M, Lesko MF, Arnzen K, Cappadoro C, Fu M, Plisco MS, et al.: Red blood cell transfusions and nosocomial infections in critically ill patients. Crit Care Med 2006, 34: 2302-2308. 10.1097/01.CCM.0000234034.51040.7FView ArticlePubMedGoogle Scholar
- Earley AS, Gracias VH, Haut E, Sicoutris CP, Wiebe DJ, Reilly PM, Schwab CW: Anemia management program reduces transfusion volumes, incidence of ventilator-associated pneumonia, and cost in trauma patients. J Trauma 2006, 61: 1-7.View ArticlePubMedGoogle Scholar
- Carson JL, Altman DG, Duff A, Noveck H, Weinstein MP, Sonnenberg FA, Hudson JI, Provenzano G: Risk of bacterial infection associated with allogeneic blood transfusion among patients undergoing hip fracture repair. Transfusion 1999, 39: 694-700. 10.1046/j.1537-2995.1999.39070694.xView ArticlePubMedGoogle Scholar
- Houbiers JG, van de Velde CJ, van de Watering LM, Hermans J, Schreuder S, Bijnen AB, Pahlplatz P, Schattenkerk ME, Wobbes T, de Vries JE, et al.: Transfusion of red cells is associated with increased incidence of bacterial infection after colorectal surgery: a prospective study. Transfusion 1997, 37: 126-134. 10.1046/j.1537-2995.1997.37297203513.xView ArticlePubMedGoogle Scholar
- Koval KJ, Rosenberg AD, Zuckerman JD, Aharonoff GB, Skovron ML, Bernstein RL, Su E, Chakka M: Does blood transfusion increase the risk of infection after hip fracture? J Orthop Trauma 1997, 11: 260-265. 10.1097/00005131-199705000-00004View ArticlePubMedGoogle Scholar
- Vamvakas EC, Carven JH: Allogeneic blood transfusion, hospital charges, and length of hospitalization: a study of 487 consecutive patients undergoing colorectal cancer resection. Arch Pathol Lab Med 1998, 122: 145-151.PubMedGoogle Scholar
- Claridge JA, Sawyer RG, Schulman AM, McLemore EC, Young JS: Blood transfusions correlate with infections in trauma patients in a dose-dependent manner. Am Surg 2002, 68: 566-572.PubMedGoogle Scholar
- Rubenfeld GD, Caldwell E, Granton J, Hudson LD, Matthay MA: Interobserver variability in applying a radiographic definition for ARDS. Chest 1999, 116: 1347-1353. 10.1378/chest.116.5.1347View ArticlePubMedGoogle Scholar
- Meade MO, Cook DJ, Guyatt GH, Groll R, Kachura JR, Bedard M, Cook DJ, Slutsky AS, Stewart TE: Interobserver variation in interpreting chest radiographs for the diagnosis of acute respiratory distress syndrome. Am J Respir Crit Care Med 2000, 161: 85-90.View ArticlePubMedGoogle Scholar
- Nathens AB, Nester TA, Rubenfeld GD, Nirula R, Gernsheimer TB: The effects of leukoreduced blood transfusion on infection risk following injury: a randomized controlled trial. Shock 2006, 26: 342-347. 10.1097/01.shk.0000228171.32587.a1View ArticlePubMedGoogle Scholar
- Hébert PC, Fergusson D, Blajchman MA, Wells GA, Kmetic A, Coyle D, Heddle N, Germain M, Goldman M, Toye B, Leukoreduction Study Investigators, et al.: Clinical outcomes following institution of the Canadian universal reduction program for red blood transfusions. JAMA 2003, 289: 1941-1949. 10.1001/jama.289.15.1941View ArticlePubMedGoogle Scholar
- Watkins TR, Rubenfeld GD, Martin TR, Caldwell E, Nathens AB: Effects of leukoreduced blood transfusion on acute lung injury in trauma patients: a randomized controlled trial [abstract]. Proc Am Thoracic Soc 2006, 3: A301.Google Scholar
- Izbicki G, Rudensky B, Na'amad M, Hershko C, Huerta M, Hersch M: Transfusion-related leukocytosis in critically ill patients. Crit Care Med 2004, 32: 439-442. 10.1097/01.CCM.0000104951.94820.A9View ArticlePubMedGoogle Scholar
- van Hilten JA, van de Watering LMG, van Bockel JH, van de Velde CJ, Kievit J, Brand R, van den Hout WB, Geelkerken RH, Roumen RM, Wesselink RM, et al.: Effects of transfusion with red cells filtered to remove leucocytes: randomized controlled trial in patients undergoing major surgery. BMJ 2004, 328: 1281-1288. 10.1136/bmj.38103.735266.55PubMed CentralView ArticlePubMedGoogle Scholar
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