Prediction of neonatal acidemia by computer analysis of fetal heart rate and ST event signals

• Tipo: Artigo em Revista Científica Internacional
• Data: 2009

Autores

Antonia Costa (Autor) FMUP; Diogo Ayres de Campos (Autor) FMUP; Fernanda Costa (Autor) Outra; Cristina Santos (Autor) FMUP; Joao Bernardes (Autor) FMUP

Revista

Título: American Journal of Obstetrics and Gynecology

Vol. 201

Páginas: 464.e1-464.e6

ISSN: 0002-9378

Editora: Elsevier

Indexação

ISI Web of Knowledge - 56 Citações

Scopus - 59 Citações

Classificação Científica

FOS: Ciências médicas e da saúde > Medicina clínica

Outras Informações

ID Authenticus: P-003-EFB

DOI: 10.1016/j.ajog.2009.04.033

Abstract (EN): OBJECTIVE: The objective of the study was to evaluate the accuracy of computer analysis of fetal heart rate (FHR) and ST event signals in prediction of neonatal acidemia. STUDY DESIGN: One hundred forty-eight FHR tracings were evaluated to identify red alerts provided by the system, based on automated analysis of FHR and ST event signals, and compared with the occurrence of umbilical artery acidemia ( pH <= 7.05). RESULTS: The presence of red alerts obtained sensitivity of 1.00 (95% confidence interval [CI], 0.56-1.00), specificity of 0.94 ( 95% CI, 0.89-0.97), positive predictive value (PPV) of 0.47 ( 95% CI, 0.22-0.72), negative predictive value (NPV) of 1 ( 95% CI, 0.96-1.00), positive likelihood ratio (PLR) of 17.6 ( 95% CI, 9.0-34.5), and negative likelihood ratio (NLR) of 0. When limiting analysis to red alerts that did not include ST data, sensitivity was 0.57 ( 95% CI, 0.20-0.88), specificity was 0.97 ( 95% CI, 0.92-0.99), PPV was 0.50 ( 95% CI, 0.17-0.82), NPV was 0.98 ( 95% CI, 0.93-0.99), PLR was 20.14 ( 95% CI, 6.3-64.2), and NLR was 0.44 ( 95% CI, 0.19-1.04). CONCLUSION: Computer analysis of FHR and ST event signals provide higher accuracy in predicting neonatal academia.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6