Document Detail


Estimation of birth weight by two-dimensional ultrasonography: a critical appraisal of its accuracy.
MedLine Citation:
PMID:  18165393     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To assess the accuracy and characterize two-dimensional ultrasonographic formulas for the estimation of birth weight according to the type of fetal biometric parameters these formulas rely on to make fetal weight predictions. METHODS: A prospective recruitment of 589 pregnant women was carried out for this cross-sectional study. Different biometric parameters were taken ultrasonographically to estimate birth weight using 35 different formulas. Only those patients who delivered within 48 hours were considered for the analysis (n=441). Differences between the estimated and actual birth weight were assessed by percentage error, accuracy in predictions within +/-10% and +/-15% of error, and use of the Bland-Altman method. All formulas were assessed individually and clustered on the basis of the type of fetal biometric information that they incorporate. RESULTS: Twenty-nine formulas provided an overall mean absolute percentage error less than or equal to 10%, with overall predictions within +/-10% and +/-15% of the actual birth weight (69.2% and 86.5%, respectively). Twenty formulas showed a good accuracy (bias 0.50 or less) and low variability (mean standard deviation 1.2). Among the categorized algorithms, formulas based on head-abdomen-femur measurements showed the lowest mean absolute percentage error. Upon stratification for birth weight, the group of formulas that rely on abdomen and femur measurements performed best for fetuses weighing more than 3,500 g (P<.01). CONCLUSION: Our findings show that most formulas are relatively accurate at predicting birth weight up to 3,500 g, and all algorithms tend to underestimate large fetuses. LEVEL OF EVIDENCE: III.
Authors:
Marco Scioscia; Antonella Vimercati; Oronzo Ceci; Mario Vicino; Luigi E Selvaggi
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Publication Detail:
Type:  Clinical Trial; Journal Article    
Journal Detail:
Title:  Obstetrics and gynecology     Volume:  111     ISSN:  0029-7844     ISO Abbreviation:  Obstet Gynecol     Publication Date:  2008 Jan 
Date Detail:
Created Date:  2007-12-31     Completed Date:  2008-02-14     Revised Date:  2009-10-26    
Medline Journal Info:
Nlm Unique ID:  0401101     Medline TA:  Obstet Gynecol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  57-65     Citation Subset:  AIM; IM    
Affiliation:
Department of Gynaecology, Obstetrics and Neonatology, University of Medical Science of Bari, Bari, Italy. marcoscioscia@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Anthropometry / methods*
Birth Weight*
Cross-Sectional Studies
Female
Humans
Infant, Newborn
Predictive Value of Tests
Pregnancy
Reproducibility of Results
Sensitivity and Specificity
Ultrasonography, Prenatal / methods*
Comments/Corrections
Comment In:
Obstet Gynecol. 2008 May;111(5):1215, author reply 1215   [PMID:  18448764 ]

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


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