Statistical methods for characterizing transfusion-related changes in regional oxygenation using near-infrared spectroscopy (NIRS) in preterm infants.
Near-infrared spectroscopy
area under the curve
imaging-based diagnosis
permutation test
preterm infants
Journal
Statistical methods in medical research
ISSN: 1477-0334
Titre abrégé: Stat Methods Med Res
Pays: England
ID NLM: 9212457
Informations de publication
Date de publication:
09 2019
09 2019
Historique:
pubmed:
13
7
2018
medline:
3
11
2020
entrez:
13
7
2018
Statut:
ppublish
Résumé
Near infrared spectroscopy (NIRS) is an imaging-based diagnostic tool that provides non-invasive and continuous evaluation of regional tissue oxygenation in real-time. In recent years, NIRS has shown promise as a useful monitoring technology to help detect relative tissue ischemia that could lead to significant morbidity and mortality in preterm infants. However, some issues inherent in NIRS technology use on neonates, such as wide fluctuation in signals, signal dropout and low limit of detection of the device, pose challenges that may obscure reliable interpretation of the NIRS measurements using current methods of analysis. In this paper, we propose new nonparametric statistical methods to analyze mesenteric rSO
Identifiants
pubmed: 29996701
doi: 10.1177/0962280218786302
pmc: PMC6113116
mid: NIHMS985564
doi:
Substances chimiques
Oxygen
S88TT14065
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
2710-2723Subventions
Organisme : NHLBI NIH HHS
ID : K23 HL128942
Pays : United States
Organisme : NHLBI NIH HHS
ID : P01 HL086773
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH079448
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH105561
Pays : United States
Commentaires et corrections
Type : ErratumIn
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