Literature DB >> 11159154

Implausible birth weight for gestational age.

K S Joseph1, M S Kramer, A C Allen, L S Mery, R W Platt, S W Wen.   

Abstract

Various rules have been proposed to identify and exclude live births with implausible values of birth weight for gestational age from large perinatal data sets. The authors carried out a preliminary evaluation of common rules by examining the frequency and nature of rule-based exclusions among live births in Canada (excluding Ontario) between 1992 and 1994. There were 625 (0.09%), 133 (0.02%), 170 (0.02%), and 2,858 (0.40%) live births identified for exclusion by a median birth weight for gestational age +/-4 standard deviations (SD) rule, a +/-5 SD rule, a rule based on expert clinical opinion, and a modification of Tukey's rule, respectively. The birth weight and gestational age distribution of the exclusions depended on the particular rule used; for example, 12.1% and 0.3% of live births of > or =4,500 g were excluded under Tukey's rule and the rule based on expert opinion, respectively. Infant mortality rates among those excluded were 8-13 times higher than among all live births. Current rules for identifying implausible birth weight for gestational age tend to flag live births at high risk for infant death. Such rules may erroneously attenuate temporal trends in important perinatal outcomes.

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Year:  2001        PMID: 11159154     DOI: 10.1093/aje/153.2.110

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  12 in total

1.  Population based study on the outcome of small for gestational age newborns.

Authors:  D B Bartels; L Kreienbrock; O Dammann; P Wenzlaff; C F Poets
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2005-01       Impact factor: 5.747

2.  Defining small-for-gestational-age: prescriptive versus descriptive birthweight standards.

Authors:  Liset Hoftiezer; Chantal W P M Hukkelhoven; Marije Hogeveen; Huub M P M Straatman; Richard A van Lingen
Journal:  Eur J Pediatr       Date:  2016-06-02       Impact factor: 3.183

3.  Validity of the WHO cutoffs for biologically implausible values of weight, height, and BMI in children and adolescents in NHANES from 1999 through 2012.

Authors:  David S Freedman; Hannah G Lawman; Asheley C Skinner; Lisa C McGuire; David B Allison; Cynthia L Ogden
Journal:  Am J Clin Nutr       Date:  2015-09-16       Impact factor: 7.045

4.  Birth weight reference for triples in Korea.

Authors:  Jeong Ho Kim; Seung Wan Park; Jung Ju Lee
Journal:  J Korean Med Sci       Date:  2010-05-24       Impact factor: 2.153

5.  Uptake and safety of hepatitis A vaccination during pregnancy: A Vaccine Safety Datalink study.

Authors:  Holly C Groom; Ning Smith; Stephanie A Irving; Padma Koppolu; Gabriela Vazquez-Benitez; Elyse O Kharbanda; Matthew F Daley; James G Donahue; Darios Getahun; Lisa A Jackson; Nicola P Klein; Natalie L McCarthy; James D Nordin; Lakshmi Panagiotakopoulos; Allison L Naleway
Journal:  Vaccine       Date:  2019-09-20       Impact factor: 3.641

6.  Are prenatal, obstetric, and infant complications associated with postpartum psychosis among women with pre-conception psychiatric hospitalisations?

Authors:  W L Hellerstedt; S M Phelan; S Cnattingius; C M Hultman; B L Harlow
Journal:  BJOG       Date:  2012-11-30       Impact factor: 6.531

7.  Inclusion of non-viable neonates in the birth record and its impact on infant mortality rates in Shelby County, Tennessee, USA.

Authors:  Bryan L Williams; Melina S Magsumbol
Journal:  Pediatr Rep       Date:  2010-06-18

8.  Birth weight for gestational age norms for a large cohort of infants born to HIV-negative women in Botswana compared with norms for U.S.-born black infants.

Authors:  Lynn T Matthews; Heather J Ribaudo; Natasha K Parekh; Jennifer Y Chen; Kelebogile Binda; Anthony Ogwu; Joseph Makhema; Sajini Souda; Shahin Lockman; Max Essex; Roger L Shapiro
Journal:  BMC Pediatr       Date:  2011-12-16       Impact factor: 2.125

9.  Sociodemographic characteristics of mother's population and risk of preterm birth in Chile.

Authors:  Paulina O López; Gérard Bréart
Journal:  Reprod Health       Date:  2013-05-16       Impact factor: 3.223

10.  Assessing fetal growth impairments based on family data as a tool for identifying high-risk babies. An example with neonatal mortality.

Authors:  Carsten B Pedersen; Yuelian Sun; Mogens Vestergaard; Jørn Olsen; Olga Basso
Journal:  BMC Pregnancy Childbirth       Date:  2007-11-28       Impact factor: 3.007

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