Evidence map›Paper›PMID 38929659›Full record

ArticleLife (Basel, Switzerland)2024

Full-Term and Preterm Newborns Differ More Significantly in Photoplethysmographic Waveform Variability than Heart Rate Variability.

Anton R Kiselev, Elena N Mureeva, Viktoria V Skazkina, Olga S Panina, Anatoly S Karavaev, Yuri V Chernenkov

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Article in Life (Basel, Switzerland), 2024. 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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6 authors.

Anton R KiselevCoordinating Center for Fundamental Research, National Medical Research Center for Therapy and Preventive Medicine, 101990 Moscow, Russia.ORCID 0000-0003-3967-3950
Elena N MureevaDepartment of Pediatrics and Neonatology, Saratov State Medical University, 410012 Saratov, Russia.
Viktoria V SkazkinaDepartment of Dynamic Modeling and Biomedical Engineering, Saratov State University, 410012 Saratov, Russia.ORCID 0000-0001-9380-8292
Olga S PaninaDepartment of Pediatrics and Neonatology, Saratov State Medical University, 410012 Saratov, Russia.
Anatoly S KaravaevDepartment of Dynamic Modeling and Biomedical Engineering, Saratov State University, 410012 Saratov, Russia.ORCID 0000-0003-4678-3648
Yuri V ChernenkovDepartment of Pediatrics and Neonatology, Saratov State Medical University, 410012 Saratov, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFeatures of cardiovascular autonomic regulation in infants are poorly studied compared with adults. However, the clinical significance of autonomic dysfunction in infants is very high. The goal of our research was to study the temporal and frequency-dependent features, as well as low-frequency synchronization in cardiovascular autonomic regulation in full-term vs. preterm newborns, based on the analysis of their heart rate variability (HRV) and photoplethysmographic waveform variability (PPGV).

methodsThe study included three groups of newborns: 64 full-term newborns (with a gestational age at birth of 37-40 weeks) with a physiological course of the neonatal adaptation; 23 full-term newborns (with a gestational age at birth of 37-40 weeks) with a pathological course of the neonatal adaptation; and 17 preterm newborns (with a postconceptional age of 34 weeks or more). We conducted spectral analysis of HRV and PPGV, along with an assessment of the synchronization strength between low-frequency oscillations in HRV and in PPGV (synchronization index). We employed several options for the boundaries of the high-frequency (HF) band: 0.15-0.40 Hz, 0.2-2 Hz, 0.15-0.8 Hz, and 0.24-1.04 Hz.

resultsPreterm newborns had higher heart rate, RMSSD, and PNN50 values relative to both groups of full-term newborns. Values of SDNN index and synchronization index (S index) were similar in all groups of newborns. Differences in frequency domain indices of HRV between groups of newborns depended on the considered options of HF band boundaries. Values of frequency domain indices of PPGV demonstrated similar differences between groups, regardless of the boundaries of considered options of HF bands and the location of PPG signal recording (forehead or leg). An increase in sympathetic influences on peripheral blood flow and a decrease in respiratory influences were observed along the following gradient: healthy full-term newborns → preterm newborns → full-term newborns with pathology.

conclusionsDifferences in frequency domain indices of autonomic regulation between the studied groups of newborns depended on the boundaries of the considered options of the HF band. Frequency domain indices of PPGV revealed significantly more pronounced differences between groups of newborns than analogous HRV indicators. An increase in sympathetic influences on peripheral blood flow and a decrease in respiratory influences were observed along the following gradient: healthy full-term newborns → preterm newborns → full-term newborns with pathology.

Indexed as

cardiovascular autonomic regulationheart rate variabilitynewbornsphotoplethysmographic waveform variability

Identifiers

PMID38929659
PMCPMC11204696

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