Literature DB >> 32512582

Effect of red blood cell transfusion on the development of retinopathy of prematurity: A systematic review and meta-analysis.

Zhe Zhu1,2, Xin Hua2,3, Yong Yu1,2, Pan Zhu4, Kairui Hong1,2, Yefang Ke5.   

Abstract

BACKGROUND: The effect of red blood cell (RBC) transfusion on retinopathy of prematurity (ROP) is difficult to establish, because ROP may also be influenced by other factors. Therefore, we carried out a systematic review and meta-analysis to explore the relationship between RBC transfusion and the development of ROP.
METHODS: The PubMed, Embase, Cochrane Library and Web of Science databases were searched from their inception to September 1, 2019. Observational studies that reported the relationship between RBC transfusion and ROP after adjusting for other potential risk factors were included. The combined result was analyzed by a random effect model. Heterogeneity and publication bias were tested, and sensitivity analysis was performed.
RESULTS: Of the 2628 identified records, 18 studies including 15072 preterm infants and 5620 cases of ROP were included. A random effect model was used and revealed that RBC transfusion was significantly associated with ROP (pooled OR = 1.50, 95% CI: 1.27-1.76), with moderate heterogeneity among the included studies (I2 = 44.2%). Subgroup analysis indicated that RBC transfusion was more closely related to ROP in the group with a gestational age (GA) ≤32 weeks (OR = 1.77, 95% CI: 1.29-2.43) but not in the groups with a GA ≤34 weeks (OR = 1.36, 95% CI: 0.85-2.18) or a GA <37 weeks (OR = 1.25, 95% CI: 0.86-1.82). No obvious publication bias was found based on the funnel plot and Egger's test. Removing any single study did not significantly alter the combined result in the sensitivity analysis.
CONCLUSIONS: Our study revealed that RBC transfusion is an independent risk factor for the development of ROP, especially in younger preterm infants. However, there seemed to be no evidence to support an effect of RBC transfusion on ROP in older groups. Further studies addressing this issue in older preterm neonates are warranted.

Entities:  

Year:  2020        PMID: 32512582      PMCID: PMC7279893          DOI: 10.1371/journal.pone.0234266

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Retinopathy of prematurity (ROP) is a vasoproliferative disorder affecting the retinas of preterm infants and is the leading cause of childhood blindness worldwide [1]. ROP is affected by multiple factors, such as maternal, perinatal, infant and treatment factors, and among these factors, red blood cell (RBC) transfusion may play an important role [2]. Due to the immature hematopoietic system and iatrogenic phlebotomy losses, preterm infants frequently undergo transfusion [3]. Reports have found that approximately 90% of extremely low birth weight (ELBW) infants receive at least one RBC transfusion [3]. In general, RBC transfusion is able to improve anemia, increase tissue oxygenation, promote growth and reduce mortality [4, 5]. However, considerable evidence suggests that RBC transfusion is related to several preterm disorders, including the development of ROP [5]. According to a national survey by Ludwig [6], the incidence of ROP in the transfusion group was 1.68-times as high as that in the non-transfusion group. Other studies did not identify a close relationship between RBC transfusion and ROP, especially after adjusting for other risk factors [7, 8]. Moreover, the most severely ill infants receive more RBC transfusions [9], making it difficult to identify the effect of RBC transfusion on ROP. Therefore, a systematic review and meta-analysis was carried out to investigate the effect of RBC transfusion on the development of ROP. Because other risk factors may make it difficult to identify the role of RBC transfusion in ROP, only original studies reporting a relationship between RBC transfusion and ROP after adjusting for other potential risk factors were included.

Materials and methods

Search strategy

This systematic review and meta-analysis was performed according to the Meta-analysis of Observational Studies in Epidemiology (MOOSE) and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement [10, 11]. The PubMed, Embase, Cochrane Library and Web of Science databases were searched from their inception to September 1, 2019. The search was performed using combinations of the following keywords: “preterm infants”, “red blood cell transfusion” and “retinopathy of prematurity” without language limitation. The detailed search strategy for PubMed is shown in S1 Table. Moreover, reference lists from the key articles were also searched manually.

Inclusion and exclusion criteria

The inclusion criteria included the following: (1) Original studies that reported the adjusted odds ratio (OR) and 95% confidence interval (CI) between RBC transfusion (yes or no) and any stage of ROP after adjusting for other potential confounding risk factors and (2) observational studies, including case-control and cohort studies. Duplicate studies, review articles, case reports, letters to editors, conference abstracts and articles with no available data were excluded.

Data extraction

Two reviewers (ZZ and XH) independently selected studies and extracted data using a form that included study design, area, publication year, sample size, the main inclusion criteria, exposures and outcomes. If disagreements occurred, they were resolved by the third reviewer (PZ).

Quality assessment

The Newcastle-Ottawa Scale was selected to assess the quality of the included studies. This scale, with a maximum of 9 points, is made up of three parts: patient selection (4 points), comparability of the study groups (2 points) and exposure/outcome (3 points). A study with a score below 6 points was considered to be of low quality.

Statistical analysis

This meta-analysis was performed using Stata 16.0 software (StataCorp LP, College Station, Texas). Adjusted ORs with 95% CIs from the included studies were extracted, and the combined result was analyzed by using a random effect model with the DerSimonian-Laird method and displayed on forest plots. Heterogeneity was assessed using the chi-square test, and I2 was calculated; I2 values of 25%, 50%, and 75% indicated low, moderate and high heterogeneity [12]. Predefined subgroup analyses were performed according to study design, sample size, GA area, and year of publication. Moreover, we used funnel plots and Egger’s test to examine publication bias and utilized sensitivity analysis to assess the stability of the combined result.

Results

Search results and characteristics of eligible studies

A total of 2628 records were retrieved from the electronic and manual search. After duplicate removal, abstract screening and full-text article review, 18 studies with 15072 preterm infants and 5620 cases of ROP were included in this meta-analysis (Fig 1). The characteristics of the eligible studies are shown in Table 1. The NOS scores of the included studies ranged from 6 to 8, and detailed information is shown in S2 Table.
Fig 1

PRISMA flow diagram of studies selection.

Table 1

Characteristics of included studies.

AuthorYear of publicationSample sizeROP casesIncluded criteriaAreaStudy designAdjusted OR (95% CI)AdjustmentsNOS score
Zarei [13]20191990575GA <37 weeksIrancohort1.355 (1.001–1.833)GA, BW, gender, multiple gestation, oxygen therapy, IVP, sepsis, RDS, phototherapy, Intubation7
Akkawi [7]201911527BW <1500 g,GA ≤32 weeksPalestinecase- control2.642 (0.66–10.567)GA, BW, multiple gestation, sibling affected by ROP, Hb at birth, RDS, lowest Hb, maximum bilirubin, days on mechanical ventilation, days on non-mechanical ventilation, days on oxygen therapy6
Wu [14]2018504131BW <1500 gChinacohort1.819 (1.043–3.163)maternal age, singleton gestation, IVF, preeclampsia, ICP, GA <32weeks, BW <1000g, gender, apnea, RDS, BPD, sepsis, PDA, hyperglycemia, surfactant use, dexamethasone use, IMV8
Sathar [15]2018812203BW ≤1500 g, GA ≤32 weeksIndiacohort2.567 (1.456–4.528)BW <1500g, GA, pregnancy induced hypertension, premature rupture of membranes, intrauterine growth retardation, congenital pneumonia, apnea, sepsis, NEC, shock, birth asphyxia, hyaline membrane disease, surfactant, continuous positive airway pressure, phototherapy, oxygen therapy >7days, ventilator7
Alshaikh [16]201728276BW <1500g, GA <31 weeksCanadacohort1.567 (1.198–2.04)GA, BW, SNAP-PE score, oxygen therapy days, ventilator days, caesarean section, Caucasian, chorioamnionitis, gender, IUGR, RDS, PDA, surfactant use, sepsis, IVH, NEC, BPD6
Yau [8]201651395BW ≤1500 g, GA ≤32 weeksHong Kongcase- control1.28 (0.18–13.17)GA, BW, preeclampsia, gestational diabetes mellitus, IVF, postnatal hypotension, inotrope use, BPD, surfactant use, invasive mechanical ventilation, mean oxygen concentration, patent ductus arteriosus, NSAID use, anemia, IVH, hypoglycemia7
Huang [17]201557182785BW <1500 gTaiwancohort1.26 (1.11–1.44)preeclampsia, GA, BW, cesarean section, gender, GSA, Apgar score, RDS, PDA, sepsis6
Ezz El Din [18]201511121BW <1500 g, GA <32 weeksEgyptcohort6.11 (1.22–30.44)GA, BW, Gender, positive consanguinity, multiple gestation, vaginal delivery, maternal diabetes, maternal hypertension, PPROM, RDS, neonatal jaundice, IUGR, duration of admission, oxygen, ventilation, duration of ventilation, feeding, apnea, pneumothorax, BPD, PDA, inotropes, duration of inotropes, NEC, IVH, anemia, thrombocytopenia, sepsis, candida sepsis7
Rao [19]201328261BW <1500 g, GA ≤ 32 weeksIndiacohort1.37 (0.48–3.96)GA, BW, surfactant, sepsis, apnea, IPPV7
Küçükevcilioǧlu [20]2013640240BW <1501 g, GA ≤34 weekTurkeycohort1.508 (0.892–2.552)GA, BW, oxygen therapy, mechanical ventilation, RDS, sepsis, IVH7
Isaza [21]2013423171BW <1500 g, GA <32 weeksCanadacohort0.7 (0.36–1.36)GA, BW, gender, days on ventilation therapy, perinatal infection, IVH, PDA, NEC7
Akçakaya [22]2012517177GA <37 weeksTurkeycase- control0.651 (0.333–1.274)GA, BW, sepsis, oxygen therapy, RDS, mechanical ventilation7
Fortes [23]201132497BW ≤1500 g, GA ≤32 weeksBrazilcohort2.901 (1.533–5.49)GA, maternal preeclampsia, antenatal steroid treatment, essential hypertension, IVH, use of oxygen in mechanical ventilation, use of indomethacin, vaginal delivery, SGA7
Zhu [24]2011752123BW ≤2000 gChinacohort1.763 (1.034–3.008)BW, asphyxia, apnea, oxygen therapy >5 days, RDS8
Figueras-Aloy [25]2010718225BW ≤1500 g, GA ≤32 weeksSpaincase-control1.67 (1.04–2.66)BW, cesarean, administrate of EPO+ Fe7
Pinheiro [26]2009663414BW ≤1500 g, GA ≤36 weeksBrazilcohort2.06 (1.11–3.83)GA, duration of oxygen therapy7
Mutlu [27]2008318118GA ≤34 weeksTurkeycohort0.9 (0.31–2.58)GA, BW, multiple births, oxygen therapy, mechanical ventilation, sepsis7
Kim [28]200439081GA <37 weeksKoreacase- control1.21 (0.7–2.1)GA, BW, apnea, ventilator, surfactant, sepsis7

GA: gestational age, BW: birth weight, IVH: intra ventricular hemorrhage, IVF: in vitro fertilization, ICP: intrahepatic cholestasis of pregnancy, IMV: invasive mechanical ventilation, SNAP-PE: Score for Neonatal Acute Physiology-Physiological Extension, IUGR: intrauterine growth restriction, PDA: patent ductus arteriosus, NSAID: nonsteroidal anti-inflammatory agent, SGA: small for gestational age, PPROM: preterm premature rupture of membranes, IPPV: invasive positive pressure ventilation, RDS: respiratory distress syndrome, EPO: erythropoietin, Fe: ferrum.

GA: gestational age, BW: birth weight, IVH: intra ventricular hemorrhage, IVF: in vitro fertilization, ICP: intrahepatic cholestasis of pregnancy, IMV: invasive mechanical ventilation, SNAP-PE: Score for Neonatal Acute Physiology-Physiological Extension, IUGR: intrauterine growth restriction, PDA: patent ductus arteriosus, NSAID: nonsteroidal anti-inflammatory agent, SGA: small for gestational age, PPROM: preterm premature rupture of membranes, IPPV: invasive positive pressure ventilation, RDS: respiratory distress syndrome, EPO: erythropoietin, Fe: ferrum.

Effects of RBC transfusion on ROP

Fig 2 shows the pooled results of 18 studies assessed using a random effect model, which indicated that RBC transfusion had a close relationship to ROP (pooled OR = 1.50, 95% CI: 1.27–1.76), with moderate heterogeneity among the included studies (I2 = 44.2%, 95% CI: 2.7%-67.9%).
Fig 2

Forest plot for the association between RBC transfusion and the development of ROP.

RBC: red blood cell, ROP: Retinopathy of prematurity.

Forest plot for the association between RBC transfusion and the development of ROP.

RBC: red blood cell, ROP: Retinopathy of prematurity.

Subgroup analysis

High heterogeneity was shown in studies conducted in the North American area (P = 0.027, I2 = 79.5%). Elevated risks were identified in studies with a cohort design, with a sample size ≥600, with a GA ≤32 weeks, conducted in South America and from published 2015–2019, with ORs of 1.56 (95% CI: 1.30–1.88), 1.52 (95% CI: 1.27–1.83), 1.77 (95% CI: 1.29–2.43), 2.44 (95% CI: 1.56–3.81) and 1.55 (95% CI: 1.27–1.90), respectively. However, there seemed to be no strong evidence to support an effect of RBC transfusion on ROP in case-control studies, studies performed in North America or studies that screened infants with a GA≤34 weeks or <37 weeks, with ORs of 1.24 (95% CI: 0.81–1.90), 1.11 (95% CI: 0.51–2.43), 1.36 (95% CI: 0.85–2.18), and 1.25 (95% CI: 0.86–1.82), respectively (Fig 3).
Fig 3

Subgroup analyses according to different study design, sample size, GA area and year of publication.

GA: gestational age.

Subgroup analyses according to different study design, sample size, GA area and year of publication.

GA: gestational age.

Publication bias and sensitivity analysis

Fig 4 shows the funnel plot of the studies included in this meta-analysis, and Egger’s test revealed a value of 1.11 (P = 0.287), which implied no obvious publication bias.
Fig 4

Funnel plot for the association between RBC transfusion and the development of ROP.

RBC: red blood cell, ROP: Retinopathy of prematurity, or: odd ratio, s.e.: standard error.

Funnel plot for the association between RBC transfusion and the development of ROP.

RBC: red blood cell, ROP: Retinopathy of prematurity, or: odd ratio, s.e.: standard error. No apparent change was found in the pooled OR when any single study was removed, with a range from 1.44 (95% CI: 1.23–1.68) to 1.54 (95% CI: 1.28–1.86).

Discussion

In this systematic review and meta-analysis, 13 cohort and 5 case-control studies including 15072 preterm infants and 5620 cases of ROP were included; among these studies, 10 indicated that RBC transfusion was significantly associated with ROP after adjusting for other confounding factors [13–18, 23–26], while others did not demonstrate this association [7, 8, 19–22, 27, 28]. Combining all of these studies, we found that RBC transfusion played a driving role in the development of ROP in preterm infants, with a pooled OR of 1.50 (95% CI: 1.27–1.76). Moderate heterogeneity was shown among the included studies (P = 0.023, I2 = 44.2%). No apparent publication bias was found according to the evaluation of the funnel plot and Egger’s test. A subgroup analysis of case-control studies showed that there was no significant relationship between RBC and ROP (OR = 1.24, 95% CI: 0.81–1.90). The inclusion of few studies and the small sample size (5 studies including 2253 preterm infants and 650 ROP cases) may partially explain this. Another reason may relate to the included criteria, as 2 of the 5 case-control studies screened preterm infants with GA <37 weeks [29, 30]. This was confirmed in another subgroup study performed by GA, which showed that the risk of ROP attributed to RBC transfusion increases as GA decreases, with ORs of 1.77 (95% CI: 1.29–2.43) in the GA ≤32 weeks group, 1.36 (95% CI: 0.85–2.18) in the GA ≤34 weeks group and 1.25 (95% CI: 0.86–1.82) in GA <37 weeks group. There seemed to be no evidence to support an effect of RBC transfusion on ROP, which included older preterm infants in this meta-analysis. Previous studies have reported that the younger the preterm newborn is, the more frequently he or she requires transfused blood products [4, 31], and RBC transfusion times were associated with an increased risk of ROP [32, 33]. This phenomenon may suggest that the immature retina of younger infants is more susceptible to RBC transfusion effects. ROP is a multifactorial disease, and one of the key elements in its development is oxidative damage [1], which is exactly what RBC transfusion results in. RBC transfusion influences ROP mainly in two ways. First, RBC transfusion increases iron intake, thereby increasing the level of its oxidation product. As early as 1997, Inder et al [34] discovered a close relationship between RBC transfusion, excessive iron load and ROP. Hirano’s study, in favor of such a view, further noticed that the same situation did not appear in full-term infants [35]. Second, unlike fetal hemoglobin (HbF), adult hemoglobin (HbA) has a lower affinity for oxygen, thereby shifting the oxygen-hemoglobin dissociation curve to the right and unloading more oxygen to the developing retina after the transfusion of adult blood products [5]. In a pilot prospective cohort study, Stutchfield et al [36] demonstrated that lower %HbF caused by transfusion is an independent risk factor for ROP. Additionally, biologically active substances in blood products may also play a role [5]. RBC transfusion is a life-saving therapeutic method in some emergency conditions, but it is known to inhibit the immune response and transmit infectious diseases [4]. Our findings again call upon doctors to weigh the risks of RBC transfusions against the benefits. Neonatologists have adopted several methods to reduce RBC transfusion in preterm infants. A systematic review and meta-analysis [37] demonstrated that the use of restrictive hemoglobin thresholds would reduce transfusion but had no significant impact on death or major morbidities. Other strategies include delayed cord clamping [38], milking of the umbilical cord [39] and autologous or allogenic umbilical cord blood transfusion [40, 41]. The strength of this meta-analysis was that it combined 18 observational studies that reported the effect of RBC transfusion on ROP after adjusting for other confounding risk factors. Limitations included the potential influence of different confounders and heterogeneity among the included studies. First, the confounders varied between different studies; some studies performed fully adjusted analyses, while others performed partially adjusted analyses. Moreover, maternal factors such as preeclampsia [42] and maternal diabetes [43] were seldom included as potential confounders in these studies. Second, moderate heterogeneity was found among the included studies. Third, although no obvious publication bias was found by funnel plot and Egger’s test, the number of studies included in this meta-analysis was still insufficient to make a certain assessment about the publication bias. These limitations must be considered when interpreting the final results.

Conclusions

In conclusion, this systematic review and meta-analysis reveals that RBC transfusion is an independent risk factor for the development of ROP, especially in younger preterm infants. This calls upon doctors to weigh the risks of RBC transfusion against the benefits and avoid unnecessary transfusion in preterm infants. However, there seemed to be no evidence to support an effect of RBC transfusion on ROP in older groups. Further studies addressing this issue in older preterm neonates are warranted.

PubMed search strategy.

(DOCX) Click here for additional data file.

The Newcastle-Ottawa Scale of included studies.

(DOCX) Click here for additional data file.

PRISMA checklist.

(DOC) Click here for additional data file.
  40 in total

Review 1.  Low versus high haemoglobin concentration threshold for blood transfusion for preventing morbidity and mortality in very low birth weight infants.

Authors:  Robin Whyte; Haresh Kirpalani
Journal:  Cochrane Database Syst Rev       Date:  2011-11-09

2.  Retinopathy of prematurity: Risk factors and variability in Canadian neonatal intensive care units.

Authors:  K Thomas; P S Shah; R Canning; A Harrison; S K Lee; K E Dow
Journal:  J Neonatal Perinatal Med       Date:  2015

3.  Blood transfusion increases radical promoting non-transferrin bound iron in preterm infants.

Authors:  K Hirano; T Morinobu; H Kim; M Hiroi; R Ban; S Ogawa; H Ogihara; H Tamai; T Ogihara
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2001-05       Impact factor: 5.747

4.  Frequency, risk factors and outcomes of retinopathy of prematurity in a tertiary care hospital in Turkey.

Authors:  Murat Küçükevcilioğlu; Fatih Mehmet Mutlu; Serdar Umit Sarıcı; Osman Melih Ceylan; Halil Ibrahim Altınsoy; Selim Kılıç; Ferhat Cekmez
Journal:  Turk J Pediatr       Date:  2013 Sep-Oct       Impact factor: 0.552

5.  Incidence of retinopathy of prematurity and risk factors among premature infants at a neonatal intensive care unit in Canada.

Authors:  Gloria Isaza; Sourabh Arora; Manpartap Bal; Varun Chaudhary
Journal:  J Pediatr Ophthalmol Strabismus       Date:  2012-12-04       Impact factor: 1.402

6.  Effects of Red Blood Cell Transfusions on the Risk of Developing Complications or Death: An Observational Study of a Cohort of Very Low Birth Weight Infants.

Authors:  Stefano Ghirardello; Elisa Dusi; Ivan Cortinovis; Stefania Villa; Monica Fumagalli; Massimo Agosti; Silvano Milani; Fabio Mosca
Journal:  Am J Perinatol       Date:  2016-06-01       Impact factor: 1.862

Review 7.  Retinopathy of prematurity: a review of risk factors and their clinical significance.

Authors:  Sang Jin Kim; Alexander D Port; Ryan Swan; J Peter Campbell; R V Paul Chan; Michael F Chiang
Journal:  Surv Ophthalmol       Date:  2018-04-19       Impact factor: 6.048

Review 8.  Red Blood Cell Transfusion in Preterm Infants: Current Evidence and Controversies.

Authors:  Claire Howarth; Jayanta Banerjee; Narendra Aladangady
Journal:  Neonatology       Date:  2018-03-16       Impact factor: 4.035

9.  Screening for retinopathy of prematurity in a tertiary care newborn unit in Turkey: frequency, outcomes, and risk factor analysis.

Authors:  Fatih Mehmet Mutlu; H Ibrahim Altinsoy; Tarkan Mumcuoglu; Hürkan Kerimoglu; Selim Kiliç; Mustafa Kul; S Umit Sarici; Faruk Alpay
Journal:  J Pediatr Ophthalmol Strabismus       Date:  2008 Sep-Oct       Impact factor: 1.402

10.  Pre-eclampsia and the risk of retinopathy of prematurity in preterm infants with birth weight <1500 g and/or <31 weeks' gestation.

Authors:  Belal Alshaikh; Omar Salman; Nancy Soliman; Anna Ells; Kamran Yusuf
Journal:  BMJ Open Ophthalmol       Date:  2017-06-19
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  8 in total

1.  Comparison of Mean Platelet Counts in Preterm Infants with and without Retinopathy of Prematurity.

Authors:  Zi Di Lim; Edwin Pheng; Evelyn Tai Li Min; Hans Van Rostenberghe; Ismail Shatriah
Journal:  Int J Environ Res Public Health       Date:  2021-04-05       Impact factor: 3.390

2.  Restrictive versus liberal transfusion thresholds in very low birth weight infants: A systematic review with meta-analysis.

Authors:  Peng Wang; Xing Wang; Haidong Deng; Linjie Li; Weelic Chong; Yang Hai; Yu Zhang
Journal:  PLoS One       Date:  2021-08-30       Impact factor: 3.240

3.  Transfusion-Free Survival Predicts Severe Retinopathy in Preterm Neonates.

Authors:  Luciana Teofili; Patrizia Papacci; Martina Bartolo; Anna Molisso; Nicoletta Orlando; Lucia Pane; Carmen Giannantonio; Francesca Serrao; Maria Bianchi; Caterina Giovanna Valentini; Claudio Pellegrino; Antonio Baldascino; Brigida Carducci; Domenico Lepore; Giovanni Vento
Journal:  Front Pediatr       Date:  2022-02-10       Impact factor: 3.418

4.  Editorial: Transfusions in the neonatal period.

Authors:  Merih Cetinkaya; Begum Atasay
Journal:  Front Pediatr       Date:  2022-07-25       Impact factor: 3.569

Review 5.  Neurosensory Alterations in Retinopathy of Prematurity: A Window to Neurological Impairments Associated to Preterm Birth.

Authors:  Martina Lucchesi; Silvia Marracci; Rosario Amato; Luca Filippi; Maurizio Cammalleri; Massimo Dal Monte
Journal:  Biomedicines       Date:  2022-07-06

6.  Effect of Small Volume Blood Sampling on the Outcomes of Very Low Birth Weight Preterm Infants.

Authors:  Pin-Chun Su; Hao-Wei Chung; Shu-Ting Yang; Hsiu-Lin Chen
Journal:  Children (Basel)       Date:  2022-08-08

7.  Haemoglobin Levels in Early Life among Infants with and without Retinopathy of Prematurity.

Authors:  Edwin Pheng; Zi Di Lim; Evelyn Tai Li Min; Hans Van Rostenberghe; Ismail Shatriah
Journal:  Int J Environ Res Public Health       Date:  2021-07-01       Impact factor: 3.390

8.  Association of Blood Donor Sex and Age With Outcomes in Very Low-Birth-Weight Infants Receiving Blood Transfusion.

Authors:  Ravi M Patel; Joshua Lukemire; Neeta Shenvi; Connie Arthur; Sean R Stowell; Martha Sola-Visner; Kirk Easley; John D Roback; Ying Guo; Cassandra D Josephson
Journal:  JAMA Netw Open       Date:  2021-09-01
  8 in total

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