Literature DB >> 2320498

Prediction of possibly preventable death: a case-control study of postneonatal mortality in southern New Zealand.

E A Nelson1, S M Williams, B J Taylor, B Morris, R P Ford, V M Binney, C Wilson.   

Abstract

The postneonatal mortality rate in three southern regions of New Zealand was 8.1 per 1000 live births for 1979-1984. The possibly preventable postneonatal mortality rate was 7.1 per 1000 live births and data on 377 possibly preventable deaths and 936 randomly selected controls were used to develop a two-stage risk-scoring system. Logistic regression analysis was undertaken separately on two sub-samples of the total sample. The data were used to evaluate three other previously published scoring systems. The four variables used in our birth score (mother's age, parity, marital status, and birth weight) have all appeared in other scoring systems, and this score could identify a group of infants in southern New Zealand with an estimated 1.7% mortality rate in the first year of life. It is suggested that currently the only valid use of risk-scoring in this region is for the definition of a high-risk population for the purpose of evaluating potential intervention strategies.

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Year:  1990        PMID: 2320498     DOI: 10.1111/j.1365-3016.1990.tb00617.x

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


  4 in total

1.  Growth velocity before sudden infant death.

Authors:  S M Williams; B J Taylor; R P Ford; E A Nelson
Journal:  Arch Dis Child       Date:  1990-12       Impact factor: 3.791

2.  Sudden infant death syndrome in New Zealand: are risk scores useful? New Zealand National Cot Death Study Group.

Authors:  S M Williams; B J Taylor; E A Mitchell; R Scragg; R P Ford; A W Stewart
Journal:  J Epidemiol Community Health       Date:  1995-02       Impact factor: 3.710

3.  Development and validation of the Safe Sleep Calculator to assess risk of sudden unexpected death in infancy.

Authors:  C G McIntosh; J M D Thompson; K Leech; R Carpenter; E A Mitchell
Journal:  Sci Rep       Date:  2022-04-12       Impact factor: 4.379

4.  Development of a Risk Score to Predict Sudden Infant Death Syndrome.

Authors:  Mounika Polavarapu; Hillary Klonoff-Cohen; Divya Joshi; Praveen Kumar; Ruopeng An; Karin Rosenblatt
Journal:  Int J Environ Res Public Health       Date:  2022-08-18       Impact factor: 4.614

  4 in total

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