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Does red blood cell irradiation and/or anemia trigger intestinal injury in premature infants with birth weight ≤ 1250 g? An observational birth cohort study



Necrotizing enterocolitis (NEC) is a leading cause of neonatal morbidity and mortality in premature infants. To date, no effective biomarkers exist to predict which premature infants will develop NEC, limiting targeted prevention strategies. Multiple observational studies have reported an association between the exposure to red blood cell (RBC) transfusion and/or anemia and the subsequent development of NEC; however, the underlying physiologic mechanisms of how these factors are independently associated with NEC remain unknown.


In this paper, we outline our prospective, multicenter observational cohort study of infants with a birth weight ≤ 1250 g to investigate the associations between RBC transfusion, anemia, intestinal oxygenation and injury that lead to NEC. Our overarching hypothesis is that irradiation of RBC units followed by longer storage perturbs donor RBC metabolism and function, and these derangements are associated with paradoxical microvascular vasoconstriction and intestinal tissue hypoxia increasing the risk for injury and/or NEC in transfused premature infants with already impaired intestinal oxygenation due to significant anemia. To evaluate these associations, we are examining the relationship between prolonged irradiation storage time (pIST), RBC metabolomic profiles, and anemia on intestinal oxygenation non-invasively measured by near-infrared spectroscopy (NIRS), and the development of NEC in transfused premature infants.


Our study will address a critical scientific gap as to whether transfused RBC characteristics, such as irradiation and metabolism, impair intestinal function and/or microvascular circulation. Given the multifactorial etiology of NEC, preventative efforts will be more successful if clinicians understand the underlying pathophysiologic mechanisms and modifiable risk factors influencing the disease.

Trial registration

Our study is registered in Identifier: NCT02741648.


Necrotizing enterocolitis (NEC) is the most common gastrointestinal emergency among premature infants [1, 2], occurring in approximately 11% of those born < 29 weeks’ gestation [3]. Case-fatality rates are as high as 50% for extremely low birth weight (ELBW) infants (≤ 1000 g at birth) who develop NEC [4]. Survivors are at risk for substantial long-term complications including neurodevelopmental delay, nutritional deficit and failure to thrive [3, 5]. Costs associated with NEC in the United States are estimated at $1 billion annually [2]. Transfusion-related necrotizing enterocolitis (TR-NEC) refers to an observed phenomenon that specifically describes a premature infant who develops NEC within 48 h after receiving a red blood cell (RBC) transfusion. Several reports have identified RBC transfusions as a significant and independent risk factor for NEC [6,7,8,9,10,11,12,13,14]; however, others have not found an association [15,16,17,18,19,20,21], but rather an association with degree of anemia prior to NEC development, which has led to considerable controversy [18].

No current biomarkers reliably predict NEC, limiting efforts to prevent this disease. The range of symptoms are highly variable, from subtle signs such as feeding intolerance and abdominal distention, to complete cardiovascular collapse and shock. Because NEC can progress to extensive bowel necrosis within hours, therapies are often ineffective [22]. Multiple factors are related to NEC etiology including prematurity, enteral feeding, pro-inflammatory propensity of the immature intestine, and impaired mesenteric blood flow [23]. The majority of premature infants receive transfusions for anemia of prematurity, and RBC transfusions precede approximately 25–38% of NEC cases [7, 14, 24]. Transfusion of different storage aged RBCs to premature infants has not been shown to contribute to the risk of NEC [7, 24]. However, the chronological storage age of RBCs may not be an accurate gauge of donor RBC function and the storage lesion may be exacerbated by gamma irradiation [25], which is performed to prevent transfusion-associated graft-vs-host disease. Although the Age of Red Blood Cells in Premature Infants (ARIPI) trial investigated the effects of total storage duration of RBCs in preterm infants [26], the study did not investigate the effects of irradiation [27]. Currently, the “safe” duration of RBC storage following irradiation (post-irradiation storage time, pIST) is unclear. Given the multifactorial etiology of NEC, preventative efforts will be more successful if clinicians understand the underlying pathophysiologic mechanisms and modifiable risk factors influencing the disease.

Although premature infants weighting ≤1250 g at birth are frequently transfused for anemia of prematurity, optimal transfusion guidelines are ill-defined [28]. The Premature Infants in Need of Transfusion (PINT) trial [29] and the smaller Iowa trial [30] investigated the effects of transfusion practices on morbidity, although neither trial included NEC as the primary outcome. Because the PINT trial suggested lower hemoglobin thresholds decreased the number of RBC transfusions with no adverse effect on mortality, retinopathy of prematurity, or neurologic injury [29], many centers shifted to conservative transfusion practices. Concurrently, multiple published reports have described an association between RBC transfusion and NEC [6, 7, 10, 24, 31,32,33], although meta-analyses have shown conflciting findings regarding any association [11, 34]. The lack of adequately-powered randomized trials evaluating the effect of transfusion thresholds on NEC limit determination of whether increased tolerance of neonatal anemia by use of conservative transfusion thresholds may actually increase the risk of NEC.

A causal link between RBC transfusion and NEC has been proposed, but not proven. Our previous research described a matched case-control study of 184 very low birth weight (VLBW) infants weighing ≤1500 g with NEC, and found a higher risk of late-onset NEC (after 4 weeks of age) in transfused infants (OR 6.7; 95% CI: 1.5–31.2) [8]. An initial meta-analysis of observational studies also showed increased risk of NEC in VLBW transfused infants [11], although a more-recent meta-analysis found no association [34] with findings consistent from our recent multicenter, prospective cohort study [18]. Many of the studies included in the meta-analyses [34] were observational and limited in causal inference; no studies have provided data regarding the potential underlying pathophysiologic mechanisms. While these studies identified risk factors for NEC, including severity of anemia and a developmental window at which NEC occurs, few studies have focused on characteristics of the donor RBC transfusion, such as pIST and metabolic/functional abnormalities. Therefore, the critical scientific gap that remains to be addressed is whether transfused RBC characteristics, such as irradiation and metabolism, impair intestinal function and/or microvascular circulation. Our current investigation aims to prospectively evaluate the relationship between pIST, RBC metabolomic profiles, and anemia on mesenteric oxygenation, as measured by near-infrared spectroscopy (NIRS), and NEC.

Candidate biological mechanisms of NEC

A number of potential mechanisms and clinical factors with biologic plausibility support a potential causal connection between RBC transfusion in response to anemia and NEC, despite the limitations described previously. Underlying this association is a common central component of insufficient oxygen delivery to intestinal tissue from a combination of decreased oxygen carrying capacity (anemia) and/or decreased blood flow (cardiac output, vascular tone). Oxygen consumption and extraction in intestinal tissue beds can be continuously and non-invasively monitored by near-infrared spectroscopy (NIRS) through measurement of oxygenated versus deoxygenated hemoglobin in venous (75%) and capillary (25%) blood [35].

Severity of Anemia and oxygen delivery to intestines

Severe anemia, leading to decreased oxygen delivery, may cause intestinal injury that predisposes an infant to NEC. Alkalay and colleagues [36] demonstrated that infants who appeared clinically “stable” with either significant anemia (hematocrit < 21%) or milder anemia (hematocrit 22–26%) had high cardiac output and restricted intestinal blood flow. Singh calculated that each percent decrease in nadir hematocrit led to a 10% increase in odds for NEC (OR 1.10; 95% CI: 1.02–1.18; P = 0.01) [10]. In our retrospective study, infants who developed NEC after transfusion had lower hematocrits 1 week prior than those without NEC [8]. We also found lower mesenteric oxygen saturation (MES-rSO2) measured by NIRS during and after transfusions in infants who developed NEC, and enteral feedings given during RBC transfusion worsened this effect [9]. Furthermore, a recent prospective study from our group found the rate of NEC was significantly increased among VLBW infants with severe anemia (≤ 8 g/dL) in a given week compared with those who did not have severe anemia (adjusted cause-specific hazard ratio, 5.99 [95% CI, 2.00–18.0]; p = .001) [18]. However, no study to date has prospectively compared longitudinal hemoglobin/hematocrit measures, MES-rSO2, and development of NEC in this population.

The RBC storage lesion, irradiation, nitric oxide (NO), and NEC

RBCs mediate local blood flow to preferentially perfuse the most hypoxic tissues, a process termed hypoxic vasodilation [36]. Nitric oxide (NO) released by RBCs is a potential mediator [37]. However, RBCs can also scavenge NO, a vasoconstrictive activity that may be enhanced in transfused RBCs with longer storage [38, 39]. Therefore, transfusion of stored RBCs (“storage-aged RBCs”, saRBCs) or pre-storage irradiated saRBCs (which worsens storage lesion) [40, 41] may disrupt vascular tone and blood flow. In animal studies, blood vessels of the immature intestine vasoconstrict when NO is depleted [42,43,44,45]. Thus, in a preterm infant with anemia, NEC could result from two mechanisms: transfusion of saRBCs (including those with extended pIST) interacting with immature intestinal endothelium, which together synergistically reduce blood flow, causing tissue hypoxia and, in some cases, NEC.


The aims of this prospective, observational study are to (Fig. 1): 1) Determine the associations between RBC storage after irradiation (pIST), metabolic alterations in stored/irradiated RBCs, and changes in mesenteric digestive tract regional saturation of oxygen (MES-rSO2) measured by NIRS; 2) Compare in vitro measures of RBC function, and metabolic changes, between RBC products transfused to infants who develop NEC compared to matched control infants who do not; and 3) Explore the clinical implications of severe anemia (hemoglobin ≤8 g/dL) during the vulnerable “NEC window period” of 29–34 weeks postmenstrual age in the responses of infants < 1250 g to RBC transfusion. Our overarching hypothesis is that irradiation of RBC units followed by longer storage perturbs RBC metabolism and function leading to paradoxical microvascular constriction, mesenteric tissue hypoxia, and increased risk for NEC in transfused premature infants with already impaired intestinal oxygenation secondary to significant anemia.

Fig. 1

Study schema illustrating our specific aims, projected infant enrollment, and methodologic approach. Our prospective, observational cohort investigation will determine the associations of prolonged irradiation time (pIST) and metabolic changes of transfused RBCs to alterations in mesenteric oxygenation that may increase the risk for NEC in preterm infants weighing ≤1250 g. In addition, we will explore the implications of severe anemia (hemoglobin ≤8 g/dL) when infants are most vulnerable to NEC development, approximately 29–34 weeks’ gestation. Abbreviations: NIRS, near-infrared spectroscopy, RBC, red blood cell; PMA, post menstrual age; NEC, necrotizing enterocolitis; mesSO2, mesenteric regional oxygen saturation

Study design

We will prospectively investigate, using an established birth cohort design [18, 46], the associations between RBC transfusion (including characteristics of transfused RBCs), anemia, intestinal oxygenation, and NEC. We specifically aim to understand the relationship between pIST, donor RBC metabolomics profiles, and recipient anemia on MES-rSO2, as measured by NIRS, and the development of NEC (Fig. 1). Although many studies have characterized the association between NEC and transfusion, none have focused on improving our understanding of the underlying pathophysiology, particularly the intestinal oxygenation changes preceding NEC. Further, the safety and efficacy of various blood banking practices including the preparation of storage-aged RBCs (saRBCs) and repeat donor exposure in recipients remains unclear. The safe threshold of saRBC+/− pIST in infants is not known and longer-stored saRBCs, either before or after irradiation, may potentiate the RBC storage lesion. This study may provide new knowledge regarding the potential benefit or harm of various blood banking practices and may identify new potential mediators of NEC.

The study schema (Fig. 1) illustrates how we aim to characterize the association between metabolic changes in transfused RBCs relative to pIST, and adverse effects in the recipient through two approaches: in vivo NIRS trend monitoring of intestinal oxygenation, and in vitro RBC functional studies. The schema explains how variables will be compared to evaluate primary and secondary endpoints for each specific aim. Our primary endpoint is changes in MES-rSO2 trends in response to transfusion of saRBC+/− pIST as measured by NIRS (Aim 1). Secondary endpoints are 1) to determine the hazard ratio of NEC comparing infants transfused with saRBCs with and without pIST; (2) examination of metabolomics fingerprints of transfused RBC (in vitro) among infants with and without NEC (Aim 2); and 3) impact of severity of anemia over time during the NEC window (29–34 weeks postmenstrual age) on MES-rSO2 (Aim 3).

Study population and eligibility criteria

Our Emory University Institutional Board Review approved study we will enroll subjects at three sites in metro-Atlanta, Georgia. All infants with birthweight ≤1250 g in any of the 3 participating neonatal intensive care will be eligible for enrollment. Infants to be excluded are those who are not expected to live beyond 7 days of life (based on assessment of attending neonatologist), presence of a severe congenital anomaly, RBC or platelet transfusion received at an outside facility or prior to study screening, or maternal refusal to participate. Written informed consent from a parent or guardian will be obtained by a study investigator for each patient before enrollment. Infants will be screened for eligibility, and enrolled within 7 days of birth.

Sample size estimation

We aim to enroll a total of 220 infants into the study. We assume 110 of these infants (50%) will receive RBC transfusion and undergo NIRS monitoring. Analysis comparing two groups, divided equally among infants by pIST, would provide more than 80% power to detect a difference of 10% in pre- and post-transfusion mean area under the curve MES-rSO2 change (standard deviation = 18) between groups or 90% power to detect a difference as small as 6% in MES-rSO2 with a standard deviation of 9 (Fig. 1 and Table 1). However, the number of infants enrolled in the study that receive a transfusion and have NIRS monitoring may be lower than 110. Therefore, we have provided power estimates for analysis of a sample size of 72 infants with RBC transfusion and NIRS monitoring (33% of the enrolled cohort). This will generate 80% power to detect a difference of 12% in pre- and post-transfusion mean area under the curve MES-rSO2 change between the two groups if the final sample size is 72 infants (36 per group) and the estimated standard deviation for MES-rSO2 change is 18. A secondary analysis evaluating pIST a continuous variable will also be performed, which will likely yield greater power for each of the scenarios presented.

Table 1 Sample Size and Power Estimates


All RBC transfusions given to infants during hospitalization will be studied. All RBC transfused units are stored in citrate-phosphate-dextrose-adenine (CPDA-1) preservative solution. pIST and storage days will be recorded for each RBC transfusion. All infants will be monitored with NIRS prior to, during and up to 48 h following each transfusion. Consistent with epidemiologic reports of transfusion-related NEC and prior studies at the 3 centers, we anticipate approximately 20 (10%) infants will develop NEC while on study. For our 2:1 case-controlled metabolomic analysis, we will prospectively analyze 40 infants who do not develop NEC and compare to 20 infants with NEC. Within this sub-cohort, we will compare alterations in metabolic pathways from saRBC unit (in vitro) and infant blood sample (in vivo). We will then examine a third sub-cohort of 120 infants without NEC within the NEC “window” (29–34 postmenstrual weeks’). These infants will also be monitored weekly for 24–48 h with mesenteric NIRS to evaluate the relationship between anemic (hemoglobin < 8 g/dL) and non-anemic infants. Reports suggest that this specific population of infants are more likely to experience paradoxical reductions in MES-rSO2 substantially increasing the risk for NEC when transfusions are given [10, 36]. Analysis will also include assessment of hemoglobin as a continuous variable.

Data management and quality control

To ensure data quality and procedural adherence of our statistical analysis approach, we will implement a detailed data management plan. Quality control will be applied to each phase of data handling to safeguard data collection and process reliability.

Birth cohort data

Case report form data, as defined and dictated by our study protocol, will be collected and managed using iDataFax, an electronic data capture application with extensive management features including a data query system to help ensure study credibility. The iDataFax system will generate regular reports that summarize and track routine data collection. These reports will help the investigative team monitor and maintain data completeness during follow-up and achieve high data capture performance by minimizing missed scheduled clinical assessments, preventing or reducing missing data, and maintaining high cohort retention rates over the three months of regular infant assessment at our three participating centers.

NIRS data

NIRS data will be downloaded daily and uploaded to a secure server within 24 h of monitoring completion. The data coordinating center will download and process all NIRS files on a weekly basis. During data processing, quality control reports will be generated to summarize the expected and actual duration of NIRS monitoring, percent of missing data, and identify when 30 min or more of consecutive data are missing. This approach will ensure proper data collection for future analysis for the entire duration of the monitoring period and confirm that NIRS machines are working properly. If one of our checks fails, we will notify the study nurses who will flag the machine, assess and correct the issue. If issues continue, we will notify the NIRS machine manufacturer, Medtronic, Inc. (Boulder, CO) for technical support. These steps will ensure consistency of data collection across our three study sites. In addition to individual NIRS monitoring checks, quarterly reports summarizing the total number of patients with NIRS monitoring, patient characteristics, and summary statistics for measurements collected during NIRS monitoring will be generated and reviewed by study investigators and biostatisticians.

Primary outcome

All infants enrolled who receive RBC transfusion will have MES-rSO2 measured by NIRS as the primary study end-point [INVOS 5100C Cerebral/Somatic Oximeter (Covidien, Boulder, CO)], a Food and Drug Administration approved device for use on premature infants. NIRS noninvasively measures regional tissue saturation (rSO2) in real time because it calculates the difference between oxyhemoglobin (HbO2) and deoxyhemoglobin (HHb) expressed as: rSO2 = HbO2/HbO2 + HHb [47]. WE will obtain a baseline measurement by placing the NIRS probes on the infant at least 30 min prior to transfusion (triggered by the decision to transfuse made by the clinical team). Probes will remain in place to collect data for 48 h following transfusion completion. Two-probe site monitoring on mesenteric and renal beds will be used to evaluate differential tissue bed oxygenation. Adhesive sensor probes are vertically applied to left periumbilical area for mesenteric monitoring and horizontally to right flank for renal monitoring.

Secondary outcomes

We will examine the association between metabolic features of transfused RBC units and pre-transfusion pIST, alterations in MES-rSO2, and the development of NEC. Our analysis will include methods previously used [25, 48]. Our preliminary data examining distinct effects of gamma irradiation on saRBC identified four metabolite pathways that were significantly altered by storage (> 7 days) and irradiation: arachidonic acid, linoleic acid, steroid biosynthesis, and alpha-linoleic acid. Alterations in these pathways may worsen RBC function, and we propose this may be involved with adverse intestinal oxygenation following RBC transfusion that, in some infants, could lead to NEC. However, we will not pre-select pathways for the current analysis. Therefore, we will pursue analytic approaches previously described [25] to identify metabolites that discriminate those infants with paradoxical MES-rSO2 responses with NEC to unaffected infants, and we will also conduct an additional secondary analyses focused on biochemical pathways previously identified in storage saRBCs generated from metabolomics analyses.

Statistical methods

We will use a novel statistical approach [51] implemented by the NIRStat R package for analyzing the NIRS data. Specifically, the NIRStat method models the observed MES-rSO2 time series with a nonparametric smooth function via penalized regression splines [49, 50]. It then provides accurate and robust statistical measures for characterizing the important features in rSO2 series. We will use the mean area under the fitted spline curves (MAUC) measure generated from the NIRStat package to measure the MES-rSO2 levels at baseline and then at post-transfusion. The MAUC changes from baseline to post-transfusion will be used to quantify the changes in MES-rSO2 due to transfusion. Two sample t-tests will be used to compare the changes in MAUC between saRBCs +/− pIST. Multivariate linear regression models will also be applied to model the changes in AUC in terms of pIST status (with pIST and without pIST) and other potential confounding factors. The multivariate analysis will allow us to assess whether the changes in MES-rSO2 differs significantly between saRBCs with pIST and those without pIST, controlling for other confounding factors.

The incidence of NEC and death will be estimated by the cumulative incidence function appropriate for competing risks. Gray’s method (modified log-rank test) will be used to compare NEC cumulative incidence according to baseline clinical characteristics. Cause-specific hazard ratios will be calculated to measure the degree of association between baseline characteristics and NEC, and between baseline characteristics and death by fitting a stratified Cox proportional-hazards regression model for competing risks. The competing risks model will be implemented using SAS PHREG using robust sandwich covariance matrix estimates to account for within-mother correlation that may occur in outcomes of multiple-birth infants.

To guard against model overfitting, we will employ both clinical and statistical criteria in making decisions about which independent variables to include; and we will limit the number of candidate variables. In general, the results of models having fewer than 10 outcome events per independent variable are thought to have questionable accuracy and the tests of statistical significance may be invalid. The use of “machine-learning” covariate selection methods, such as bootstrap bagging, will be utilized to improve the reliability of identifying risk factors for NEC and death. The hazard ratio and its 95% confidence interval (CI) will be calculated for each factor in the presence of others in the final model for NEC and mortality.

For metabolomics analysis, we will examine associations between metabolic features of transfused RBC units and pre-transfusion pIST, alterations in MES-rSO2, and the development of NEC using an approach previously described [25]. Correlative analyses without pre-selecting specific metabolic pathways will be performed. Methods of analysis will include a number of gene set analysis, such as MSEA and MetaboAnalyst. We can also borrow from the gene expression packages to conduct more complex analysis of metabolite-set differential expression analysis as well as metabolite-set differential coordination analyses. The pathway level analysis will be followed by the detection of metabolites that contribute the most to the changes of metabolic pattern using the built-in scoring system of the packages.


There is an urgent need for a large, hypothesis-driven, prospective study to examine the effect of both RBC unit and recipient factors on the physiologic perturbations that cause NEC [11]. Given that 75–90% of low birth weight infants receive one or more RBC transfusions [52, 53], it is reasonable to predict that NEC may result from a combination of pre-existing anemia and reduced intestinal oxygenation exacerbated by metabolic/functional changes in transfused RBCs, due to irradiation and pIST. This investigation may allow us to identify new modifiable factors that can be used to test targeted prevention strategies and mitigate this devastating disease.

We propose to investigate intestinal oxygenation changes that precede the development of NEC. Our overarching hypothesis is that irradiation of RBC units followed by longer storage times perturbs donor RBC metabolism and function, and these derangements are associated with paradoxical microvascular vasoconstriction, intestinal tissue hypoxia and injury and/or NEC in transfused premature infants with already impaired intestinal oxygenation due to significant anemia. Specifically, our primary goal is to characterize the association between metabolic changes in transfused RBCs relative to pIST, and adverse effects in the recipient by in vivo NIRS trend monitoring of intestinal oxygenation, and in vitro RBC functional studies. Our primary endpoint is changes in MES-rSO2 trends in response to transfusion of saRBC+/-pIST as measured by NIRS. The secondary endpoints are to determine the hazard ratio of NEC for low birth weight infants transfused with saRBCs +/-pIST, examine metabolomic fingerprints of transfused RBC in vitro, and examine the impact of anemia severity on MES-rSO2 trends.



Confidence interval




Extremely low birth weight

HbO2 :





Mean area under the curve

MES-rSO2 :

Mesenteric regional oxygen saturation


Necrotizing enterocolitis


Near-infrared spectroscopy


Nitric oxide


Odds ratio


prolonged irradiation storage time


Red blood cell

rSO2 :

regional oxygen saturation


storage-aged red blood cells


Transfusion-related necrotizing enterocolitis


Very low birth weight


  1. 1.

    Lin PW, Stoll BJ. Necrotising enterocolitis. Lancet. 2006;368:1271–83.

  2. 2.

    Neu J, Walker WA. Necrotizing enterocolitis. New Engl J Med. 2011;364:255–64.

  3. 3.

    Stoll BJ, Hansen NI, Bell EF, Shankaran S, Laptook AR, Walsh MC, et al. Neonatal outcomes of extremely preterm infants from the NICHD neonatal research network. Pediatrics. 2010;126:443–56.

  4. 4.

    Fitzgibbons SC, Ching Y, Yu D, Carpenter J, Kenny M, Weldon C, et al. Mortality of necrotizing enterocolitis expressed by birth weight categories. J Pediatr Surg. 2009;44:1072–6.

  5. 5.

    Hintz SR, Kendrick DE, Stoll BJ, Vohr BR, Fanaroff AA, Donovan EF, et al. Neurodevelopmental and growth outcomes of extremely low birth weight infants after necrotizing enterocolitis. Pediatrics. 2005;115:696–703.

  6. 6.

    El-Dib M, Narang S, Lee E, Massaro AN, Aly H. Red blood cell transfusion, feeding and necrotizing enterocolitis in preterm infants. J Perinatol. 2011;31:183–7.

  7. 7.

    Blau J, Calo JM, Dozor D, Sutton M, Alpan G, La Gamma EF. Transfusion-related acute gut injury: necrotizing enterocolitis in very low birth weight neonates after packed red blood cell transfusion. J Pediatr. 2011;158:403–9.

  8. 8.

    Josephson CD, Wesolowski A, Bao G, Sola-Visner MC, Dudell G, Castillejo M-I, et al. Do red cell transfusions increase the risk of necrotizing enterocolitis in premature infants? J Pediatr. 2010;157:972–8.e973.

  9. 9.

    Marin T, Josephson CD, Kosmetatos N, Higgins M, Moore JE. Feeding preterm infants during red blood cell transfusion is associated with a decline in postprandial mesenteric oxygenation. J Pediatr. 2014;165:464–71.e461.

  10. 10.

    Singh R, Visintainer PF, Frantz ID, Shah BL, Meyer KM, Favila SA, et al. Association of necrotizing enterocolitis with anemia and packed red blood cell transfusions in preterm infants. J Perinatol. 2011;31:176–82.

  11. 11.

    Mohamed A, Shah PS. Transfusion associated necrotizing enterocolitis: a meta-analysis of observational data. Pediatrics. 2012;129:529–40.

  12. 12.

    Stritzke AI, Smyth J, Synnes A, Lee SK, Shah PS. Transfusion-associated necrotising enterocolitis in neonates. Arch Dis Child Fetal Neonatal Ed. 2013;98:F10–4.

  13. 13.

    Paul DA, Mackley A, Novitsky A, Zhao Y, Brooks A, Locke RG. Increased odds of necrotizing enterocolitis after transfusion of red blood cells in premature infants. Pediatrics. 2011;127:635–41.

  14. 14.

    Cunningham KE, Okolo FC, Baker R, Mollen KP, Good M. Red blood cell transfusion in premature infants leads to worse necrotizing enterocolitis outcomes. J Surg Res. 2017;213:158–65.

  15. 15.

    Hyung N, Campwala I, Boskovic DS, Slater L, Asmerom Y, Holden MS, et al. The relationship of red blood cell transfusion to intestinal mucosal injury in premature infants. J Pediatr Surg. 2017;52:1152–5.

  16. 16.

    Le VT, Klebanoff MA, Talavera MM, Slaughter JL. Transient effects of transfusion and feeding advances (volumetric and caloric) on necrotizing enterocolitis development: a case-crossover study. PLoS One. 2017;12:e0179724.

  17. 17.

    Hay S, Zupancic JAF, Flannery DD, Kirpalani H, Dukhovny D. Should we believe in transfusion-associated enterocolitis? Applying a grade to the literature. Semin Perinatol. 2017;41:80–91.

  18. 18.

    Patel RM, Knezevic A, Shenvi N, Hinkes M, Keene S, Roback JD, et al. Association of red blood cell transfusion, anemia, and necrotizing enterocolitis in very low-birth-weight infants. JAMA. 2016;315:889–97.

  19. 19.

    Sood BG, Rambhatla A, Thomas R, Chen X. Decreased hazard of necrotizing enterocolitis in preterm neonates receiving red cell transfusions. J Mat Fetal Neonatal Med. 2016;29:737–44.

  20. 20.

    Sharma R, Kraemer DF, Torrazza RM, Mai V, Neu J, Shuster JJ, et al. Packed red blood cell transfusion is not associated with increased risk of necrotizing enterocolitis in premature infants. J Perinatol. 2014;34:858–62.

  21. 21.

    Wallenstein MB, Arain YH, Birnie KL, Andrews J, Palma JP, Benitz WE, et al. Red blood cell transfusion is not associated with necrotizing enterocolitis: a review of consecutive transfusions in a tertiary neonatal intensive care unit. J Pediatr. 2014;165:678–82.

  22. 22.

    Grave GD, Nelson SA, Walker WA, Moss RL, Dvorak B, Hamilton FA, et al. New therapies and preventive approaches for necrotizing enterocolitis: report of a research planning workshop. Pediatr Res. 2007;62:510–4.

  23. 23.

    Lin PW, Nasr TR, Stoll BJ. Necrotizing enterocolitis: recent scientific advances in pathophysiology and prevention. Semin Perinatol. 2008;32:70–82.

  24. 24.

    Christensen RD, Lambert DK, Henry E, Wiedmeier SE, Snow GL, Baer VL, et al. Is "transfusion-associated necrotizing enterocolitis" an authentic pathogenic entity? Transfusion. 2010;50:1106–12.

  25. 25.

    Patel RM, Roback JD, Uppal K, Yu T, Jones DP, Josephson CD. Metabolomics profile comparisons of irradiated and non-irradiated stored donor red blood cells. Transfusion. 2015;55:544–52.

  26. 26.

    Fergusson DA, Hebert P, Hogan DL, LeBel L, Rouvinez-Bouali N, Smyth JA, et al. Effect of fresh red blood cell transfusions on clinical outcomes in premature, very low-birth-weight infants: the ARIPI randomized trial. JAMA. 2012;308:1443–51.

  27. 27.

    Patel RM, Josephson CD. Storage age of red blood cells for transfusion of premature infants. JAMA. 2013;309:544–5.

  28. 28.

    Luban NLC. Management of anemia in the newborn. Early Hum Dev. 2008;84:493–8.

  29. 29.

    Kirpalani H, Whyte RK, Andersen C, Asztalos EV, Heddle N, Blajchman MA, et al. The premature infants in need of transfusion (PINT) study: a randomized, controlled trial of a restrictive (low) versus liberal (high) transfusion threshold for extremely low birth weight infants. J Pediatr. 2006;149:301–7.

  30. 30.

    Bell EF, Strauss RG, Widness JA, Mahoney LT, Mock DM, Seward VJ, et al. Randomized trial of liberal versus restrictive guidelines for red blood cell transfusion in preterm infants. Pediatrics. 2005;115:1685–91.

  31. 31.

    Christensen RD, Wiedmeier SE, Baer VL, Henry E, Gerday E, Lambert DK, et al. Antecedents of bell stage III necrotizing enterocolitis. J Perinatol. 2010;30:54–7.

  32. 32.

    Derienzo C, Smith PB, Tanaka D, Bandarenko N, Campbell ML, Herman A, et al. Feeding practices and other risk factors for developing transfusion-associated necrotizing enterocolitis. Early Hum Dev. 2014;90:237–40.

  33. 33.

    Marin T, Strickland OL. Transfusion-related necrotizing enterocolitis: a conceptual framework. Adv Neonatal Care. 2013;13:166–74.

  34. 34.

    Garg P, Pinotti R, Lal CV, Salas AA. Transfusion-associated necrotizing enterocolitis in preterm infants: an updated meta-analysis of observational data. J Perinat Med. 2017;

  35. 35.

    Marin T, Moore J. Understanding near-infrared spectroscopy. Adv Neonatal Care. 2011;11:382–8.

  36. 36.

    Alkalay AL, Galvis S, Ferry DA, Simmons CF, Krueger RC Jr. Hemodynamic changes in anemic premature infants: are we allowing the hematocrits to fall too low? Pediatrics. 2003;112:838–45.

  37. 37.

    Allen BW, Piantadosi CA. How do red blood cells cause hypoxic vasodilation? The SNO-hemoglobin paradigm. Am J Physiol Heart Circ Physiol. 2006;291:H1507–12.

  38. 38.

    Solomon SB, Wang D, Sun J, Kanias T, Feng J, Helms CC, et al. Mortality increases after massive exchange transfusion with older stored blood in canines with experimental pneumonia. Blood. 2013;121:1663–72.

  39. 39.

    Donadee C, Raat NJ, Kanias T, Tejero J, Lee JS, Kelley EE, et al. Nitric oxide scavenging by red blood cell microparticles and cell-free hemoglobin as a mechanism for the red cell storage lesion. Circulation. 2011;124:465–76.

  40. 40.

    Davey RJ, McCoy NC, Yu M, Sullivan JA, Spiegel DM, Leitman SF. The effect of prestorage irradiation on posttransfusion red cell survival. Transfusion. 1992;32:525–8.

  41. 41.

    Ran Q, Hao P, Xiao Y, Zhao J, Ye X, Li Z. Effect of irradiation and/or leucocyte filtration on RBC storage lesions. PLoS One. 2011;6:e18328.

  42. 42.

    Nowicki PT. Ischemia and necrotizing enterocolitis: where, when, and how. Semin Pediatr Surg. 2005;14:152–8.

  43. 43.

    Reber KM, Mager GM, Miller CE, Nowicki PT. Relationship between flow rate and no production in postnatal mesenteric arteries. Am J Physiol Gastrointest Liver Physiol. 2001;280:G43–50.

  44. 44.

    Nowicki PT, Reber KM, Giannone PJ, Nankervis CA, Hammond S, Besner GE, et al. Intestinal O2 consumption in necrotizing enterocolitis: role of nitric oxide. Pediatr Res. 2006;59:500–5.

  45. 45.

    Nowicki PT. Effects of sustained flow reduction on postnatal intestinal circulation. Am J Phys. 1998;275:G758–68.

  46. 46.

    Josephson CD, Caliendo AM, Easley KA, Knezevic A, Shenvi N, Hinkes MT, et al. Blood transfusion and breast milk transmission of cytomegalovirus in very low-birth-weight infants: a prospective cohort study. JAMA Pediatr. 2014;168:1054–62.

  47. 47.

    Dullenkopf A, Frey B, Baenziger O, Gerber A, Weiss M. Measurement of cerebral oxygenation state in anaesthetized children using the Invos 5100 cerebral oximeter. Pediatr Anesth. 2003;13:384–91.

  48. 48.

    Uppal K, Soltow QA, Stroebel FH, Pittard WS, Gernet KM, Yu T, et al. xMSanalyzer: automated pipeline for improved eature detection and downstream analysis of large-scale, non-targeted metabolomics data. BMC Informatics. 2013;14:15.

  49. 49.

    Green PJ, Silverman BW. Nonparametric regression and generalized linear models: a roughness penalty approach. 1st ed. London: Chapman and Hall; 1994.

  50. 50.

    Hastie TJ, Tibshirani RJ. Generalized additive models. 1st ed. London: Chapman and Hall; 1990.

  51. 51.

    Guo Y, Wang Y, Marin T, Kirk E, Patel RM, Josephson CD. Statistical methods for characterizing transfusion-related changes in regional oxygenation using near-infrared spectroscopy (NIRS) in preterm infants. Stat Methods Med Res; 2018.

  52. 52.

    Widness JA, Lowe LS, Bell EF, Burmeister LF, Mock DM, Kistard JA, et al. Adaptive responses during anemia and its correction in lambs. J Appl Physiol. 2000;88:1397–406.

  53. 53.

    Strauss RG. Practical issues in neonatal transfusion practice. Am J Clin Pathol. 1997;107:S57–63.

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The study described is supported by funding received from the National Institutes of Health, National Heart, Lung and Blood Institute PO1 grant [2PO1 HL086773].

Availability of data and materials

This is a study protocol outlining our study design, and therefore availability of data and materials sharing is not applicable at this time. We have provided a discussion regarding data management and quality control within our manuscript. Upon completion of our data collection, analysis and dissemination, we will provide our funding agency (NHLBI) with our data sets for other investigators to pursue research using the data we collect.

The NHLBI has published standards for protection of subject confidentiality which enable distribution of large data sets collected in completed epidemiological studies such as the NEC cohort study. The final data will be provided to the NHLBI following published guidelines (Clinical Trials 2004; 1:517–524) which will allow other investigators to pursue research using the data collected from these studies. These “limited access data sets” will be provided to the NHLBI after completion of the studies and after publication of the PPG study manuscripts from the Emory University Transfusion Medical Program.

Author information

TM composed the initial draft of this manuscript and revised accordingly after receiving input from all co-authors. TM was a major participant in research project design for NIRS data collection, analysis and interpretation. RM made substantial contributions to research project conception and design, had major contributions to manuscript development and finalization, and gave approval of final manuscript. JDR made substantial contributions to research project design, preliminary data acquisition and analysis, drafting methods portion related to metabolomics and gave approval of final manuscript. SRS made substantial contributions to research project design, preliminary data acquisition and analysis, drafting methods portion related to metabolomics and gave approval of final manuscript. YG made substantial contributions to statistical analysis including software development, power analysis, and development of statistical methods portion of manuscript. YG gave approval of final manuscript. KE made substantial contributions to statistical analysis including software development, sample size and power estimates, and development of statistical methods portion of manuscript. KE gave approval of final manuscript. MW has major responsibility for data acquisition, data management, and participant consent. She authored the data management portion of the final manuscript. JS has major responsibility for data acquisition, data management, and participant consent. She assisted with authoring data management and quality control section of the final manuscript. CDJ made substantial contributions to research project conception and design relative to red blood cell characteristics to be analyzed, how irradiation storage time may affect these changes and how it will be measured. CDJ will be accountable and oversee all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. CDJ had major contributions to manuscript development and finalization, and gave approval of final manuscript. All authors read and approved the final manuscript.

Correspondence to Terri Marin.

Ethics declarations

Ethics approval and consent to participate

We have received expedited approved under CFR.46.110 and/or 21CFR 56.110 by the Institutional Review Board of Emory University IRB00083691 to recruit participants for this study. Written informed consent from a parent or guardian will be obtained by a study investigator for each patient before enrollment.

Consent for publication

Not applicable.

Competing interests

This manuscript has not, and will not be submitted to any other journal for consideration. The authors of this manuscript declare no potential, real or perceived conflict of interest related to the submission of this manuscript to BMC Pediatrics Journal. Our funding sponsors had no involvement in the study design, collection, interpretation or data analysis, writing of this report or decision for publication submission. Dr. Marin is an educational consultant for Medtronic, Inc. Academic Affairs in which she educates clinical staff of proper bedside use of near-infrared spectroscopy technology. No other authors have any competing interests to disclose.

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