Literature DB >> 3715255

Prediction of sudden infant death syndrome: an independent evaluation of four scoring methods.

T J Peters, J Golding.   

Abstract

The performances of four published risk prediction systems for sudden infant death syndrome (SIDS) were compared for the 34 cases of SIDS and 48 explained deaths among a cohort of all births in the U.K. during one week in April 1970. With cut-points for the scores which would include about 20 per cent of the population, the sensitivities of the scoring methods ranged from identifying 40 per cent of the explained deaths to 70 per cent of SIDS. The highest sensitivities were achieved with the Sheffield 'at birth' system and a system based on both data from Oxford and general observations from the literature, with the latter system providing the most powerful predictor of SIDS for the study sample.

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Year:  1986        PMID: 3715255     DOI: 10.1002/sim.4780050203

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

1.  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

2.  Fetal behaviour and the sudden infant death syndrome (SIDS).

Authors:  J Smoleniec; D James
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1995-05       Impact factor: 5.747

3.  Is the sudden infant death syndrome preventable?

Authors:  J Golding
Journal:  J R Soc Med       Date:  1988-02       Impact factor: 18.000

4.  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

5.  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

  5 in total

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