Evidence map›Paper›PMID 42106975›Full record

ArticleNutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition2026

Analysis of factors driving variations in neonatal parenteral nutrition over a decade: A retrospective study.

Thanaphong Phongpreecha, Lucas W Y Sin, Shabnam Gaskari, Nima Aghaeepour

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Article in Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Thanaphong PhongpreechaDepartment of Anesthesiology, Pain and Perioperative Medicine, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-9245-6686
Lucas W Y SinDepartment of Anesthesiology, Pain and Perioperative Medicine, Stanford University, Stanford, California, USA.
Shabnam GaskariPediatric Pharmacy, Stanford University School of Medicine, Stanford, California, USA.
Nima AghaeepourDepartment of Anesthesiology, Pain and Perioperative Medicine, Stanford University, Stanford, California, USA.

Funding

An AI-driven total parenteral nutrition platform for cost-effective and scientifically personalized nutrition for premature newbornsR42HD115517 · NICHD · TAKEOFF41, INC. · PI Nima Aghaeepour, Thanaphong Phongpreecha · 2024 to 2026
$2.3M
NICHD NIH HHS R42 HD115517NIH HHS 4R42HD115517-02
6 · The paper itself

Abstract

backgroundParenteral nutrition (PN) is essential for supporting preterm and critically ill neonates who are unable to tolerate adequate enteral feeds. However, PN composition remains highly variable due to differences in guidelines, institutional practices, prescriber discretion, and more. This lack of standardization contributes to inconsistent nutrient delivery and may affect clinical outcomes. A deeper understanding of the sources of variation is needed to inform efforts toward more consistent and evidence-aligned prescribing.

methodsThis retrospective study analyzed 54,464 neonatal PN prescriptions issued between 2011 and 2021 to 5052 infants. Patient demographics, prescriber identifiers, and prescription year were linked through electronic health records. Temporal trends in nutrient composition were evaluated using linear mixed-effects models, with covariate adjustment. Dimensionality reduction with t-distributed Stochastic Neighbor Embedding (t-SNE) was applied to visualize temporal clustering of prescriptions and prescriber-level similarity in dosing patterns.

resultsPN composition demonstrated clear temporal variability across the decade. Macronutrient shifts diminished after adjusting for patient demographics, indicating that changes were primarily driven by shifts in the NICU population. In contrast, most micronutrients retained significant year effects. Variance partitioning revealed that prescriber identity explained substantially more variability than prescription year for nearly all electrolytes. Guideline updates also shaped certain changes, such as Selenium, which shifted in line with a specific update rather than prescriber preference.

conclusionNeonatal PN is influenced by multiple factors, with prescriber-level differences emerging as a dominant driver for micronutrients. These findings highlight the need for targeted standardization efforts that reduce unnecessary heterogeneity while preserving flexibility for clinical judgment.

Indexed as

Parenteral NutritionPractice Patterns, Physicians'Critical IllnessFemaleHumansInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalMaleMicronutrientsNutrientsRetrospective StudiesMicronutrientsclinical practice variationneonatal parenteral nutritionNICUnutrient compositionprescribing variation

Identifiers

PMID42106975
PMCPMC13436136

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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.