Document Detail


Predicting red blood cell transfusions in very low birth weight infants based on clinical risk factors.
MedLine Citation:
PMID:  9401214     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To describe the clinical factors most predictive of red blood cell transfusion in very low birth weight (VLBW) infants. STUDY DESIGN: Retrospective review of VLBW infants cared for at a single level III NICU during a two year period, n = 199. RESULTS: Overall transfusion requirement was 4.6 +/- 6.2 transfusions/infant/hospital course. Length of hospital stay, days of mechanical ventilation, requirement for dopamine support, birth weight, initial hematocrit, periventricular leukomalacia and necrotizing enterocolitis all independently correlated with number of transfusions and donors. Bronchopulmonary dysplasia and patent ductus arteriosus were associated with donor but not transfusion number. CONCLUSIONS: Our data characterize the population of VLBW infants with the greatest blood transfusion and donor requirement. Further investigation is needed to target this population for interventions to reduce blood exposure.
Authors:
D A Paul; S A Pearlman; K H Leef; J L Stefano
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Delaware medical journal     Volume:  69     ISSN:  0011-7781     ISO Abbreviation:  Del Med J     Publication Date:  1997 Nov 
Date Detail:
Created Date:  1998-01-16     Completed Date:  1998-01-16     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0370077     Medline TA:  Del Med J     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  555-61     Citation Subset:  IM    
Affiliation:
Section of Neonatology, Medical Center of Delaware, Newark.
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MeSH Terms
Descriptor/Qualifier:
Anemia, Neonatal / therapy*
Blood Transfusion / utilization*
Delaware
Forecasting
Humans
Infant, Newborn
Infant, Premature*
Infant, Very Low Birth Weight*
Linear Models
Multivariate Analysis
Retrospective Studies

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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