Weight Changes and Variability in the First Week of Life: Associations with Mortality in Extremely Preterm Newborns

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Background : In extremely preterm newborns (ELGANs, <28 weeks’ gestational age [GA]), early weight trajectories reflect fluid balance, yet thresholds for early risk stratification are lacking. We aimed to evaluate whether percentage weight change (ΔW%) from birth weight (BW) and week-1 weight variability were independently associated with death by postnatal day 7 and to identify clinically relevant thresholds. Methods : We performed a retrospective single-center secondary analysis of the Golden Week Program (University of Alabama at Birmingham NICU, 2014–2021). Newborns <28 weeks’ GA with BW ≥400 g and receiving active treatment were included; exclusion criteria were death ≤48 hours, major congenital anomalies, or incomplete weight data. Multivariable logistic regression was performed, adjusted for GA, 5-minute Apgar score, and BW z-score; optimal cutoffs were derived using the Youden Index. Results : Among 805 neonates, 55 (6.8%) died by day 7. Non-survivors had less negative day-3 ΔW% than survivors (median −5.3% vs −10.7%; p<0.01). Day-3 ΔW% was independently associated with mortality (aOR 1.05; 95% CI 1.02–1.08), with an optimal cutoff of −6.4% (sensitivity 57%, specificity 72%). Among variability metrics, Normalized Total Fluctuation (mean absolute day-to-day change in ΔW%) showed the best discrimination (aOR 1.45; 95% CI 1.29–1.65; AUC 0.84), with an optimal cutoff of 5.3% (sensitivity 76%, specificity 74%). Conclusions : ELGANs who do not lose 5%–7% of BW by postnatal day 3 or exhibit an average day-to-day weight fluctuation >5% of BW are at increased risk of early mortality. These weight-derived metrics may support early risk stratification but require prospective validation.

Article activity feed