Gestational age assessed by optical skin reflection in low-birth-weight newborns: applications in classification at birth

Página do item simplificado
dc.creatorGabriela Luiza Nogueira Vitral
dc.creatorAlexandre Negrão Pantaleão
dc.creatorGisele Lobo Pappa
dc.creatorJuliano de Souza Gaspar
dc.creatorRegina Amélia Pessoa Lopes de Aguiar
dc.creatorRoberta Maia de Castro Romanelli
dc.creatorZilma Silveira Nogueira Reis
dc.creatorRodney Nascimento Guimarães
dc.creatorIvana Dias
dc.creatorNilza Mussagy
dc.creatorSergio Taunde
dc.creatorGabriela Silveira Neves
dc.creatorCarolina Nogueira de São José
dc.date.accessioned2025-02-11T20:00:21Z
dc.date.accessioned2025-09-09T00:11:50Z
dc.date.available2025-02-11T20:00:21Z
dc.date.issued2023-03-28
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.3389/fped.2023.1141894
dc.identifier.issn2296-2360
dc.identifier.urihttps://hdl.handle.net/1843/79917
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFrontiers in Pediatrics
dc.rightsAcesso Aberto
dc.subjectInteligência artificial
dc.subjectUltrassonografia
dc.subjectTrabalho de parto prematuro
dc.subjectCuidado pré-natal
dc.subjectTriagem neonatal
dc.subjectServiços de saúde à maternidade
dc.subject.otherInfant
dc.subject.otherLow birth weight
dc.subject.otherPremature (babies)
dc.subject.otherSmall for gestational age (SGA)
dc.subject.otherArtificial intelligence
dc.subject.otherClinical trial
dc.subject.otherUltrasonography
dc.subject.otherPrenatal
dc.titleGestational age assessed by optical skin reflection in low-birth-weight newborns: applications in classification at birth
dc.typeArtigo de periódico
local.citation.epage13
local.citation.spage1
local.citation.volume11
local.description.resumoIntroduction: A new medical device was previously developed to estimate gestational age (GA) at birth by processing a machine learning algorithm on the light scatter signal acquired on the newborn's skin. The study aims to validate GA calculated by the new device (test), comparing the result with the best available GA in newborns with low birth weight (LBW). Methods: We conducted a multicenter, non-randomized, and single-blinded clinical trial in three urban referral centers for perinatal care in Brazil and Mozambique. LBW newborns with a GA over 24 weeks and weighing between 500 and 2,500 g were recruited in the first 24 h of life. All pregnancies had a GA calculated by obstetric ultrasound before 24 weeks or by reliable last menstrual period (LMP). The primary endpoint was the agreement between the GA calculated by the new device (test) and the best available clinical GA, with 95% confidence limits. In addition, we assessed the accuracy of using the test in the classification of preterm and SGA. Prematurity was childbirth before 37 gestational weeks. The growth standard curve was Intergrowth-21st, with the 10th percentile being the limit for classifying SGA. Results: Among 305 evaluated newborns, 234 (76.7%) were premature, and 139 (45.6%) were SGA. The intraclass correlation coefficient between GA by the test and reference GA was 0.829 (95% CI: 0.785–0.863). However, the new device (test) underestimated the reference GA by an average of 2.8 days (95% limits of agreement: −40.6 to 31.2 days). Its use in classifying preterm or term newborns revealed an accuracy of 78.4% (95% CI: 73.3–81.6), with high sensitivity (96.2%; 95% CI: 92.8–98.2). The accuracy of classifying SGA newborns using GA calculated by the test was 62.3% (95% CI: 56.6–67.8). Discussion: The new device (test) was able to assess GA at birth in LBW newborns, with a high agreement with the best available GA as a reference. The GA estimated by the device (test), when used to classify newborns on the first day of life, was useful in identifying premature infants but not when applied to identify SGA infants, considering current algohrithm. Nonetheless, the new device (test) has the potential to provide important information in places where the GA is unknown or inaccurate.
local.publisher.countryBrasil
local.publisher.departmentICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO
local.publisher.departmentMED - DEPARTAMENTO DE GINECOLOGIA OBSTETRÍCIA
local.publisher.departmentMED - DEPARTAMENTO DE PEDIATRIA
local.publisher.initialsUFMG
local.url.externahttps://www.frontiersin.org/journals/pediatrics/articles/10.3389/fped.2023.1141894/full

Arquivos

Pacote original

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
Gestational age assessed by optical skin reflection in low-birth-weight newborns Applications in classification at birth.pdf
Tamanho:
791.37 KB
Formato:
Adobe Portable Document Format
Baixar

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Periódico

Logo UFMG