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Congenital malformations and birth weight: a family perspective Dr. Kari K.Melve Department of Public Health & Primary Health Care University of Bergen,

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Presentation on theme: "Congenital malformations and birth weight: a family perspective Dr. Kari K.Melve Department of Public Health & Primary Health Care University of Bergen,"— Presentation transcript:

1 Congenital malformations and birth weight: a family perspective Dr. Kari K.Melve Department of Public Health & Primary Health Care University of Bergen, Norway October, 2002

2 Why is it fascinating to study families? Families constitute small ”populations” with shared genetic and environmental features Dependencies between family members have implications for risk assessment (for instance of adverse pregnancy outcome)

3 Why is it fascinating to study birth defects? Birth defects account for a large proportion of perinatal and infant mortality The etiology of birth defects is in large not known 25 - 30 % of major birth defects may be attributed genetic factors

4 Background for this study: There is a large and significant correlation between siblings’ birth weights Low birth weight tends to recur in sibships

5 In general, infants with congenital malformations have lower mean birth weight than infants without malformations

6 Growth restriction may be primary, predisposing the fetus for malformations … or secondary to the malformations...or coexist with the malformations, and have common underlying causes

7 Objective: To study birth weight of malformed infants’ siblings..and compare with birth weight of infants in families without any registered malformations

8 Materials and methods: Data were from the Medical Birth Registry of Norway from 1967 to 1998 Infants were linked to their mothers through the unique personal identification number

9 Study population: 551,478 mothers with at least two infants and 209,423 mothers with at least three infants These family sets were not mutually exclusive

10 Familes were grouped according to whether and in which birth order an infant was registered with a birth defect Families where none of the infants had a birth defect were used as control families

11 First birth order Second birth order Family groupNumberBW (SD) No BD525,7583426 (581)3574 (578) BD 1st sib13,5193242 (811)3569 (596) BD 2nd sib11,5193410 (597)3365 (846) BD both sibs 6823252 (779)3328 (890) Table I

12 Classification of birth defects: Categories of defects were defined on the basis of ICD-8, providing 24 groups of isolated defects Multiple defects were combined in a separate category

13 We compared mean birth weight (BW) and gestational age (GA) between infants of same birth order in families with and without birth defects Analyses:

14 For the main analyses all birth defects were pooled into one group In addition: the most frequent organ-specific malformations were analyzed separately

15 Statistics: T-tests Analyses of variance –Gestational age –Mother’s age (years) –Mother’s education –Marital status –Maternal diabetes –Interpregnancy interval –Time period

16 Results: Malformed infants had lower mean birth weights than control infants of same birth order Non-malformed siblings’ mean birth weights did not differ significantly from control infants of same birth order (Table I)

17 Gestational age analyses: Malformed infants had shorter mean GA than control infants Non-malformed siblings had mean GA close to that of control infants

18 Adjustment for GA reduced the BW difference between malformed infants and control infants, but had only little impact on the BW differences between non-malformed siblings and corresponding control infants

19 Adjusting for maternal age, maternal educational level, marital status, maternal diabetes, time period of first birth and inter-pregnancy interval did not change the BW differences notably (multiple analyses of variance)

20

21 Organ-specific defects: Sub-group analyses: For most organ-specific defects the non- malformed siblings’ mean BW did not differ significantly from that of corresponding control infants

22 Examples: Neural tube defect and Abdominal wall defect

23 Exceptions: Siblings of infants with multiple malformations, and second- born siblings where the first- born infant was registered with a cleft lip had significantly lower mean BW than control infants of same birth order

24 Discussion: BW is strongly correlated within sibships, and growth restriction tends to recur in sibships

25 In contrast: Reduced BW associated with congenital malformations is restricted to the pregnancy with the malformed fetus

26 This argues against a theory of growth restriction as a primary etiological factor for the development of malformations

27 Persisting biological, environmental or socioeconomic factors may play different roles for the growth restriction associated with congenital anomalies and for growth restriction not associated with such

28 Exceptions: – Studies have found associations between smoking in pregnancy and risk of cleft lip in the offspring – An increased risk of multiple malformations in the offspring with decreasing socioeconomic status of the family has been reported

29 Conclusions: We conclude that reduced birth weight associated with congenital anomalies is specific to the affected pregnancy


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