Evidence map›Paper›PMID 35526520›Full record

ArticleAnnals of nutrition & metabolism2022

The Development and Evaluation of the Nutritional Risk Screening Tool for Preterm Infants from Birth to Corrected Age Four Months Old: A Pilot Study.

Xiaoying He, Zhuobin Jiang, Basma Nasr, Cuiling Wu, Saijun Huang, Pingming Gao, Yanna Zhu

Open access · hybridAbstract read
In one paragraph

Article in Annals of nutrition & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 61% of its field
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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Xiaoying HeDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zhuobin JiangInformation Center, Foshan Women and Children Hospital, Foshan, China.
Basma NasrDepartment of Cardiology, West China Hospital of Sichuan University, Chengdu, China.
Cuiling WuChild Healthcare Department, Foshan Women and Children Hospital, Foshan, China.
Saijun HuangChild Healthcare Department, Foshan Women and Children Hospital, Foshan, China.
Pingming GaoDepartment of Neonatology, Foshan Women and Children Hospital, Foshan, China.
Yanna ZhuDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Foshan Maternity and Child Health Care Hospital · CNSun Yat-sen University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPremature infants are exceptionally vulnerable to nutrition-related diseases, and the utilization of standardized feeding guidelines may reduce nutritional practice variation, which can promote growth. Nutritional risk screening is the first step for standardized nutrition advice. However, risk screening tools specific for following up preterm infants are scarce. Hence, our study aimed to develop and evaluate a standardized Nutritional Risk Screening Tool for Preterm Infants (NRSP subscale 1) from birth to corrected age four months old .

methodsThis study was a two-phase (the development phase and evaluation phase) study. Initially, we used the Delphi expert consultation method to create NRSP subscale 1. Then, a professional panel interviewed the participated preterm infants using the screening tool, measured anthropometric parameters, and conducted an intellectual development test on the interview day and remeasured anthropometric parameters 2 weeks or 1 month after the first interview. In the development phase, we cross-tabulated the responses to the screening tool with the classifications of z-scores of the body weight, length, or head circumference to identify significant predictors of underweight, stunting, or microcephaly. We then combined significant predictors to produce models for predicting underweight, stunting, or microcephaly by multivariate logistic regression analysis. In the evaluation phase, the area under the curve (AUC), sensitivity, specificity, and correlation coefficient by Spearman's correlation analysis (rs) between the risk classifications by NRSP subscale 1 and the classifications of the z-scores of the body weight, length, or head circumference were calculated to assess the validity of the screening tool. Intellectual development levels between high and low nutritional risk infants were statistically compared.

resultsA total of 219 and 244 preterm infants were included to two phases, respectively. AUC was 0.936 (95% CI: 0.860-1.000, p < 0.001), sensitivity was 0.667, specificity was 0.941, rs = 0.407 (p < 0.001); AUC was 0.794 (95% CI: 0.638-0.951, p = 0.002), sensitivity was 0.500, specificity was 0.953, rs = 0.339 (p < 0.001); AUC was 0.831 (95% CI: 0.737-0.925, p = 0.001), sensitivity was 0.889, specificity was 0.643, rs = 0.215 (p = 0.001) in predicting underweight, stunting, and microcephaly on the interview day, respectively. AUC was 0.905 (95% CI: 0.826-0.984, p = 0.006), sensitivity was 0.500, specificity was 0.905, rs = 0.504 (p < 0.001); AUC was 0.738 (95% CI: 0.515-0.960, p = 0.034), sensitivity was 0.429, specificity was 0.848, rs = 0.382 (p < 0.001); AUC was 0.664 (95% CI: 0.472-0.856, p = 0.071), sensitivity was 0.455, specificity was 0.809, rs = 0.169 (p = 0.037) in predicting underweight, stunting, and microcephaly 2 weeks or 1 month after the first interview, respectively. Gross motor development quotients (DQs) (95.85 [32.87] vs. 86.29 [17.19], p = 0.022), fine motor DQs (115.77 [46.03] vs. 102.12 [20.27], p = 0.010), and verbal DQs (110.73 [35.27] vs. 100.63 [21.28], p = 0.042) were higher in low nutritional risk infants than high-risk ones.

conclusionNRSP subscale 1 was acceptable and reliable in predicting underweight, but the validity in predicting stunting or microcephaly was slightly mild. Further investigations are required to authenticate NRSP subscale 1's effectiveness.

Indexed as

Infant, PrematureMicrocephalyBody WeightGrowth DisordersHumansInfantInfant, NewbornPilot ProjectsThinnessNutritional riskPreterm infantScreening tool

Identifiers

PMID35526520
PMCPMC9501731
OpenAlexW4229032707

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.