Evidence map›Paper›PMID 42337026›Full record

ArticlePediatric research2026

Neonatal blood glucose monitoring using glucose estimation by phase delay between oxy- and deoxyhemoglobin.

Tomoaki Kusaka, Kosuke Koyano, Tomoya Nakazawa, Yuta Noguchi, Yuta Shinabe, Hirosuke Morita, Katsufumi Nishioka, Kota Inoue, Aya Morimoto, Shinji Nakamura and 4 more

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Article in Pediatric research, 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

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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

14 authors.

Tomoaki KusakaDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Kosuke KoyanoDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan. koyano.kosuke@kagawa-u.ac.jp.
Tomoya NakazawaHamamatsu Photonics K.K. Electron Tube Division, Shimokanzo, Iwata, Japan.
Yuta NoguchiDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Yuta ShinabeDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Hirosuke MoritaDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Katsufumi NishiokaDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Kota InoueDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Aya MorimotoDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Shinji NakamuraDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Sonoko KondoDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.
Yukihiko KonishiFaculty of Education, Kagawa University, Takamatsu, Kagawa, Japan.
Keiji MorishitaHamamatsu Photonics K.K. Electron Tube Division, Shimokanzo, Iwata, Japan.
Takashi KusakaDepartment of Pediatrics, Faculty of Medicine, Kagawa University, Kitagun, Kagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReliable, painless glucose surveillance is critical during the early neonatal fall in plasma glucose levels. However, existing continuous glucose monitors are invasive and expensive. We evaluated a non-invasive method for estimating blood glucose levels from the phase delay (Δθ) between oxy- and deoxyhemoglobin waveforms, expressed as a metabolic index (MI).

methodsThirty-eight term neonates were enrolled on postnatal day 2, and 30 recordings satisfied the predefined signal quality criteria. Neonatal pulse oximetry probes captured 5-min photoplethysmography traces, from which stable 15-60-s epochs were extracted. The α-corrected MI for each infant was correlated with plasma glucose measured on an ABL90 FLEX analyzer. Glycemic slopes were compared with published adult data using ANCOVA.

resultsThe α-corrected MI showed a significant positive correlation with plasma glucose (R

conclusionsPhase-delay analysis using standard pulse oximetry provides a promising approach for continuous glucose estimation in term neonates. Age-specific calibration is required before clinical deployment; however, the technique's low cost and noninvasiveness potentiate universal bedside hypoglycemia surveillance. IMPACT: Key message: Non-invasive glucose monitoring using the phase delay between oxy- and deoxyhemoglobin waveforms obtained from a pulse oximetry probe shows a significant correlation with blood glucose levels in term neonates. Literature contribution: This study demonstrates that the metabolic index derived from hemoglobin phase delays differs between neonates and adults, suggesting the need for age-specific calibration. CLINICAL IMPACT: This low-cost technique may enable continuous bedside glucose surveillance in neonates without repeated blood sampling.

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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.