Literature DB >> 2267184

The development of a model for predicting infants at high risk of sudden infant death syndrome in Tasmania.

E T d'Espaignet1, T Dwyer, N M Newman, A L Ponsonby, S G Candy.   

Abstract

A statutory 'Notification of Birth' form, containing obstetric and perinatal information, has been routinely collected for Tasmanian deliveries since 1974. For the period 1980 to 1984, birth notification data was collected for over 99% of Tasmanian deliveries. This data was examined for the 130 cases of sudden infant death syndrome (SIDS) that occurred from 1980 to 1984 and for 610 controls. It was then used to construct an at-birth scoring system to predict infants at higher risk of SIDS in the postneonatal period. A predictive model of the relative risk of SIDS was developed by fitting a binomial/logistic generalised linear model to the binary 1980-1984 case control data with birth variables used as predictors. The final predictive model contained five variables (maternal age, infant sex, birth weight, month of birth and feeding practice) and had a sensitivity of 62% and specificity of 73%. The model was then tested on independent birth cohorts from 1985 and 1986 and found to have a sensitivity of 47% and specificity of 77%. The risk of SIDS in the group of infants classified as high risk was 7.9 per 1000 live births and in the group at low risk it was 2.5 per 1000 live births. In addition, the model predicted 74% of neonatal deaths occurring during these 2 years. This compares well with other predictive models developed elsewhere. The predictive model will be used to identify infants at high risk for SIDS in a prospective cohort study.

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Year:  1990        PMID: 2267184     DOI: 10.1111/j.1365-3016.1990.tb00670.x

Source DB:  PubMed          Journal:  Paediatr Perinat Epidemiol        ISSN: 0269-5022            Impact factor:   3.980


  7 in total

1.  Within pair association between birth weight and blood pressure at age 8 in twins from a cohort study.

Authors:  T Dwyer; L Blizzard; R Morley; A L Ponsonby
Journal:  BMJ       Date:  1999-11-20

2.  Features of infant exposure to tobacco smoke in a cohort study in Tasmania.

Authors:  A L Ponsonby; D Couper; T Dwyer
Journal:  J Epidemiol Community Health       Date:  1996-02       Impact factor: 3.710

3.  Relationship between early life respiratory illness, family size over time, and the development of asthma and hay fever: a seven year follow up study.

Authors:  A L Ponsonby; D Couper; T Dwyer; A Carmichael; A Kemp
Journal:  Thorax       Date:  1999-08       Impact factor: 9.139

4.  Parental smoking and infant respiratory infection: how important is not smoking in the same room with the baby?

Authors:  Leigh Blizzard; Anne-Louise Ponsonby; Terence Dwyer; Alison Venn; Jennifer A Cochrane
Journal:  Am J Public Health       Date:  2003-03       Impact factor: 9.308

5.  The effect of maternal prenatal smoking and alcohol consumption on the placenta-to-birth weight ratio.

Authors:  N Wang; G Tikellis; C Sun; A Pezic; L Wang; J C K Wells; J Cochrane; A-L Ponsonby; T Dwyer
Journal:  Placenta       Date:  2014-04-26       Impact factor: 3.481

6.  Correlates of prone infant sleeping position by period of birth.

Authors:  A L Ponsonby; T Dwyer; S V Kasl; D Couper; J A Cochrane
Journal:  Arch Dis Child       Date:  1995-03       Impact factor: 3.791

7.  APOE genotype and cardio-respiratory fitness interact to determine adiposity in 8-year-old children from the Tasmanian Infant Health Survey.

Authors:  Justine A Ellis; Anne-Louise Ponsonby; Angela Pezic; Elizabeth Williamson; Jennifer A Cochrane; Joanne L Dickinson; Terence Dwyer
Journal:  PLoS One       Date:  2011-11-01       Impact factor: 3.240

  7 in total

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