Document Detail


The extent to which genotype information may add to the prediction of disturbed perinatal adaptation: none, minor, or major?
MedLine Citation:
PMID:  17805198     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Studies have been performed to describe the significance of genetic polymorphisms in complications associated with disturbed perinatal adaptation. Due to the large number of interacting factors, the results of classic statistical methods are often inconsistent. The random forest technique (RFT) is a robust nonparametric statistical approach that overcomes this problem through the calculation of the importance of each factor. We used RFT to reanalyze the importance of 24 genetic polymorphisms in the classification of preterm infants (birth weight, 680-1460 g, n = 100) to affected and unaffected groups according to the presence of acute perinatal complications. The accuracy of classification was between 0.5 and 0.8 for each complication when only birth data were considered. However, when genetic polymorphisms with the highest importance scores (ISs) were included in the analysis, the accuracy of classification according overall morbidity, necrotizing enterocolitis (NEC), acute renal failure (ARF), infant respiratory distress syndrome (IRDS), cardiac failure (CF), and patent ductus arteriosus (PDA) improved from 0.69, 0.60, 0.70, 0.72, 0.68, and 0.57 to 0.77, 0.70, 0.76, 0.77, 0.76, and 0.64, respectively. Our findings suggest that genetic polymorphisms identified by RFT as predictors may improve the risk assessment of preterm infants. RFT is a suitable tool to develop risk factor patterns in this population.
Authors:
András Treszl; Ambrus Kaposi; Júlia Hajdú; Miklós Szabó; Tivadar Tulassay; Barna Vásárhelyi
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Pediatric research     Volume:  62     ISSN:  0031-3998     ISO Abbreviation:  Pediatr. Res.     Publication Date:  2007 Nov 
Date Detail:
Created Date:  2007-11-30     Completed Date:  2008-02-05     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  0100714     Medline TA:  Pediatr Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  610-4     Citation Subset:  IM    
Affiliation:
Research Laboratory of Pediatrics and Nephrology, Hungarian Academy of Sciences, Budapest, Hungary 1083.
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MeSH Terms
Descriptor/Qualifier:
Adaptation, Physiological*
Data Interpretation, Statistical
Ductus Arteriosus, Patent / diagnosis,  genetics,  physiopathology
Enterocolitis, Necrotizing / diagnosis,  genetics,  physiopathology
Female
Genetic Predisposition to Disease
Genetic Testing*
Genotype
Gestational Age
Heart Failure / diagnosis,  genetics,  physiopathology
Humans
Infant, Newborn
Infant, Newborn, Diseases / diagnosis,  genetics*,  physiopathology
Infant, Premature*
Infant, Very Low Birth Weight*
Kidney Failure, Acute / diagnosis,  genetics,  physiopathology
Male
Polymorphism, Genetic*
Predictive Value of Tests
Respiratory Distress Syndrome, Newborn / diagnosis,  genetics,  physiopathology
Risk Assessment
Risk Factors

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


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