Predictors of neonatal mortality: Development and validation of prognostic models using prospective data from rural Bangladesh

Farhad A. Khan, Luke C. Mullany, Lee F.S. Wu, Hasmot Ali, Saijuddin Shaikh, Kelsey Alland, Keith P. West, Alain B. Labrique

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Objective To assess the extent to which maternal histories of newborn danger signs independently or combined with birth weight and/or gestational age (GA) can capture and/or predict postsecond day (age>48 hours) neonatal death. Methods Data from a cluster-randomised trial conducted in rural Bangladesh were split into development and validation sets. The prompted recall of danger signs and birth weight measurements were collected within 48 hours postchildbirth. Maternally recalled danger signs included cyanosis (any part of the infant's body was blue at birth), non-cephalic presentation (part other than head came out first at birth), lethargy (weak or no arm/leg movement and/or cry at birth), trouble suckling (infant unable to suckle/feed normally in the 2 days after birth or before death, collected 1-month postpartum or from verbal autopsy). Last menstrual period was collected at maternal enrolment early in pregnancy. Singleton newborns surviving 2 days past childbirth were eligible for analysis. Prognostic multivariable models were developed and internally validated. Results Recalling ≥1 sign of lethargy, cyanosis, non-cephalic presentation or trouble suckling identified postsecond day neonatal death with 65.3% sensitivity, 60.8% specificity, 2.1% positive predictive value (PPV) and 99.3% negative predictive value (NPV) in the development set. Requiring either lethargy or weight <2.5 kg identified 89.1% of deaths (at 39.7% specificity, 1.9% PPV and 99.6% NPV) while lethargy or preterm birth (<37 weeks) captured 81.0% of deaths (at 53.6% specificity, 2.3% PPV and 99.5% NPV). A simplified model (birth weight, GA, lethargy, cyanosis, non-cephalic presentation and trouble suckling) predicted death with good discrimination (validation area under the receiver-operator characteristic curve (AUC) 0.80, 95% CI 0.73 to 0.87). A further simplified model (GA, non-cephalic presentation, lethargy, trouble suckling) predicted death with moderate discrimination (validation AUC 0.74, 95% CI 0.66 to 0.81). Conclusion Maternally recalled danger signs, coupled to either birth weight or GA, can predict and capture postsecond day neonatal death with high discrimination and sensitivity.

Original languageEnglish (US)
Article numbere001983
JournalBMJ Global Health
Volume5
Issue number1
DOIs
StatePublished - Jan 27 2020

Keywords

  • Bangladesh
  • danger sign
  • neonatal mortality
  • newborn mortality
  • prognostic model
  • symptom

ASJC Scopus subject areas

  • Health Policy
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Predictors of neonatal mortality: Development and validation of prognostic models using prospective data from rural Bangladesh'. Together they form a unique fingerprint.

Cite this