Prediction of major complications affecting very low birth weight infants

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • Helsinki University Central Hospital
  • University of Helsinki

Abstract

Bronchopulmonary dysplasia (BPD), necrotizing enterocolitis (NEC), and retinopathy of prematurity (ROP) are severe complications affecting Very Low Birth Weight (VLBW) infants. Our findings show that data gathered in the intensive care unit during the first 24 or 72 hours of care can be used to predict whether a VLBW infant is at risk of developing BPD. Using Gaussian process classification, we achieved classification results with areas under the receiver operator characteristic curve of 0.85 (standard error (SE) 0.05) for 24h and 0.87 (SE 0.06) for 72h BPD data. This compares favourably with results achieved using the clinical standard SNAP-II and SNAPPE-II scores. Sensitivity for BPD was 0.52 (SE 0.06). Sensitivity for NEC and ROP was close to zero, suggesting that NEC and ROP can not be reliably predicted with this approach from our data set.

Details

Original languageEnglish
Title of host publication2017 IEEE LIFE SCIENCES CONFERENCE (LSC)
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventIEEE Life Sciences Conference - Sydney, Australia
Duration: 13 Dec 201715 Dec 2017
Conference number: 1
http://lsc.ieee.org/2017/

Conference

ConferenceIEEE Life Sciences Conference
Abbreviated titleIEEE LSC
CountryAustralia
CitySydney
Period13/12/201715/12/2017
Internet address

    Research areas

  • biomedical time series analysis, Gaussian process classification, bronchopulmonary dysplasia, necrotizing enterocolitis, retinopathy of prematurity, neonatal intensive care, very low birth weight infants

ID: 20479882