Literature DB >> 8711105

Mortality among infants with congenital malformations, New York State, 1983 to 1988.

C Druschel1, J P Hughes, C Olsen.   

Abstract

OBJECTIVE: The authors examined first-year mortality and risk factors for mortality among infants with major congenital malformations.
METHODS: Infants with major congenital malformations born from 1983 to 1988 were identified from a statewide population-based congenital malformations registry. Variables analyzed included year of birth, birth weight, gestational age, infant sex, number of malformations, number of organ systems involved, level of care of the birth hospital, maternal age, maternal education, and maternal ethnicity.
RESULTS: Infants with major malformations had a risk of death 6.3 times higher than the general population of live births. The risk declined from 6.5 in 1983 to 5.9 in 1988. Birth weight and number of malformations were the strongest risk factors. The likelihood of survival was similar for white and black infants.
CONCLUSIONS: Being born with a malformation outweighs most of the other risks for infant mortality. Children with congenital malformations had higher cause-specific mortality for all causes except injury.

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Year:  1996        PMID: 8711105      PMCID: PMC1381882     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  22 in total

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Authors:  S L Cochi; L E Edmonds; K Dyer; W L Greaves; J S Marks; E Z Rovira; S R Preblud; W A Orenstein
Journal:  Am J Epidemiol       Date:  1989-02       Impact factor: 4.897

2.  Lack of relation of increased malformation rates in infants of diabetic mothers to glycemic control during organogenesis.

Authors:  J L Mills; R H Knopp; J L Simpson; L Jovanovic-Peterson; B E Metzger; L B Holmes; J H Aarons; Z Brown; G F Reed; F R Bieber
Journal:  N Engl J Med       Date:  1988-03-17       Impact factor: 91.245

Review 3.  Medical progress. Congenital malformations: etiologic factors and their role in prevention (first of two parts).

Authors:  H Kalter; J Warkany
Journal:  N Engl J Med       Date:  1983-02-24       Impact factor: 91.245

4.  The frequency of 47,+21,47,+18, and 47,+13 at the uppermost extremes of maternal ages: results on 56,094 fetuses studied prenatally and comparisons with data on livebirths.

Authors:  E B Hook; P K Cross; R R Regal
Journal:  Hum Genet       Date:  1984       Impact factor: 4.132

5.  Abdominal musculature deficiency syndrome prune belly.

Authors:  K J Welch; G P Kraney
Journal:  J Urol       Date:  1974-05       Impact factor: 7.450

6.  Birth weight-specific infant mortality due to congenital anomalies, 1960 and 1980.

Authors:  R J Berry; J W Buehler; L T Strauss; C J Hogue; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

7.  Overview of the National Infant Mortality Surveillance (NIMS) project--design, methods, results.

Authors:  C J Hogue; J W Buehler; L T Strauss; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

8.  Infectious diseases: preventable causes of infant mortality.

Authors:  J M Jason; W R Jarvis
Journal:  Pediatrics       Date:  1987-09       Impact factor: 7.124

9.  Prune belly syndrome--report of 47 cases.

Authors:  C R Woodhouse; P G Ransley; D Innes-Williams
Journal:  Arch Dis Child       Date:  1982-11       Impact factor: 3.791

10.  Reduced recurrence of orofacial clefts after periconceptional supplementation with high-dose folic acid and multivitamins.

Authors:  M Tolarova; J Harris
Journal:  Teratology       Date:  1995-02
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  2 in total

1.  The effect of congenital anomalies on mortality risk in white and black infants.

Authors:  L H Malcoe; G M Shaw; E J Lammer; A A Herman
Journal:  Am J Public Health       Date:  1999-06       Impact factor: 9.308

2.  Rubella outbreak in a Rural Kenyan District, 2014: documenting the need for routine rubella immunization in Kenya.

Authors:  Ian Njeru; Dickens Onyango; Yusuf Ajack; Elizabeth Kiptoo
Journal:  BMC Infect Dis       Date:  2015-06-27       Impact factor: 3.090

  2 in total

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