Evidence map›Paper›PMID 41646695›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Development and external validation of the NEO-READY model to predict date of discharge among premature neonatal intensive care patients.

Hannah Lonsdale, Kevin Patel, Henry Domenico, Ryan S Moore, Allison B McCoy, Benjamin French, S Trent Rosenbloom, Daniel W Byrne, Robert E Freundlich, Mhd Wael Alrifai

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kevin Patel
Ryan S Moore
S Trent RosenbloomORCID 0000-0001-7455-2260
Robert E FreundlichORCID 0000-0002-0343-9823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a parsimonious, interpretable, and accurate model for predicting discharge for premature infants in the NICU that is suitable for prospective evaluation and integration into clinical workflows. STUDY

designUsing routinely available electronic health record data, we developed and validated NEOnatal Reliable Estimation of Approaching Discharge in Young infants (NEO-READY), a daily-updating model that predicts likelihood of discharge within 5 days for premature infants.

resultsData from 702 infants were used to develop the model, and data from 201 infants were used for temporal external validation. The model includes 13 predictors and two interaction terms and demonstrated excellent discrimination across development (AUC = 0.88, 95% CI 0.87-0.90) and validation (0.90, 0.88-0.91) cohorts.

conclusionThis work represents step 1 toward our long-term goal: integrating the NEO-READY model into clinical workflows as part of a comprehensive strategy to improve discharge preparedness, reduce discharge delays, and optimize NICU resources.

Identifiers

PMID41646695
PMCPMC12870610

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.