Evidence map›Paper›PMID 39962778›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025

[Value of different calculation methods for weight growth velocity in predicting long-term neurological and physical development outcomes in preterm infants].

Pei-Hong Ji, Xuan Sun, Jin-Zhi Gao, Ling Chen

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Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. 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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5 · Who and what money

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4 authors.

Pei-Hong JiDepartment of Neonatology,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Xuan SunDepartment of Neonatology,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Jin-Zhi GaoDepartment of Neonatology,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Ling ChenDepartment of Neonatology,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the value of weight growth velocity, calculated using the Patel exponential model and the Z-score change method, in predicting the neurological and physical development outcomes of preterm infants with a gestational age of <30 weeks in the long term.

methodsA retrospective study was conducted involving preterm infants with a gestational age of <30 weeks who were hospitalized and treated in the Department of Neonatology at Tongji Hospital, Huazhong University of Science and Technology, from January 2017 to June 2022, and were followed up at the outpatient service more than 18 months of age. The preterm infants were divided into high and low rate groups based on the two calculation methods, and the two methods were compared regarding their predictive value for neurological and physical development outcomes in the long term.

resultsThe average age of the last follow-up was (23.0±3.6) months. For neurological development, according to the Patel exponential model, the low rate group exhibited a significantly higher abnormal rate in the fine motor domain compared to the high rate group (

conclusionsWeight growth velocity calculated using the Z-score change method is more effective in predicting long-term neurological outcomes in preterm infants, while weight growth velocity derived from both methods shows no significant association with long-term physical development outcomes.

Indexed as

Body WeightChild DevelopmentInfant, PrematureNervous SystemFemaleHumansInfantInfant, NewbornMaleRetrospective StudiesNeurodevelopmentPhysical developmentPreterm infantWeight growth velocity

Identifiers

PMID39962778
PMCPMC11838039

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