Evidence map›Paper›PMID 40754636›Full record

ArticleScientific reports2025

Predictive model for feeding intolerance in neonates with hypoxic ischemic encephalopathy during therapeutic hypothermia.

Zhongping Shui, Ying Liu, Haimei Duan, Qiuyi Sun, Huan He, Huayun He, Jianhui Wang, Huaying Yin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhongping ShuiDepartment of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Ying LiuDepartment of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Haimei DuanDepartment of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Qiuyi SunDepartment of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Huan HeDepartment of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Huayun HeDepartment of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Jianhui WangDepartment of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Huaying YinDepartment of Child Health Care, Children's Hospital of Chongqing Medical University, Chongqing, China. yinhuay@outlook.com.

Funding

This study was supported by the Department of Nursing of the Children's Hospital of Chongqing Medical University CHCQMU2023.11
6 · The paper itself

Abstract

To construct a nomogram for feeding intolerance (FI) during therapeutic hypothermia (TH) in neonates with hypoxic-ischemic encephalopathy (HIE). 179 neonates with HIE were recruited between March 2017 and July 2023 and clinical data subjected to least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression analysis. A predictive model was constructed and verified by receiver operating characteristic (ROC) curve analysis, calibration plots and decision curve analysis (DCA). Neonatal infection, 5-min Apgar score, hypoglycemia, time of enteral nutrition initiation, initial enteral feeding volume (15-30 mL/kg/day) and rate of feeding advancement (1-5 mL/kg/day) were found to be independent predictors for FI. Earlier initiation, larger initial volume and rapid feeding progression increased FI risk and slow advancement was protective. ROC analysis gave an area under the curve (AUC) of 0.83 (95% CI: 0.77-0.89) and internal verification concordance index (C-index) was 0.829. DCA showed a favorable net clinical benefit for the FI predictive model. The predictive model may identify the causes of FI at an early stage and inform clinical decisions.

Indexed as

Enteral NutritionHypothermia, InducedHypoxia-Ischemia, BrainFemaleHumansInfant, NewbornMaleNomogramsROC CurveFeeding intoleranceHypoxic-ischemic encephalopathyNeonatalPredictive modelTherapeutic hypothermia

Identifiers

PMID40754636
PMCPMC12319087

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.