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Volume 201, Issue 5, Pages 464.e1-464.e6 (November 2009)


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

Presented as an oral communication at the 20th European Congress of Obstetrics and Gynaecology, Lisbon, Portugal, March 5-8, 2008.

Antonia Costa, MDabCorresponding Author Informationemail address, Diogo Ayres-de-Campos, PhDab, Fernanda Costa, MDa, Cristina Santos, MSc, Joao Bernardes, PhDab

Received 26 November 2008; received in revised form 7 January 2009; accepted 20 April 2009. published online 19 June 2009.

Refers to article:
Journal ClubCross-reference Predicting neonatal acidemia by computer analysis: Costa et al
Christian M. Pettker, Stephen F. Thung, Antonette Dulay, Christina Han, Unzila Ali
American Journal of Obstetrics & Gynecology
November 2009 (Vol. 201, Issue 5, Pages 543-544)
Abstract | Full Text | Full-Text PDF (116 KB)
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.

a Departamento de Ginecologia e Obstetrícia, Faculdade de Medicina, Hospital S. João, Universidade do Porto, Portugal

b Instituto de Engenharia Biomédica, Universidade do Porto, Portugal

c Serviço de Bioestatística e Informática Médica, Faculdade de Medicina, Universidade do Porto, Portugal

Corresponding Author InformationReprints: Antónia Costa, Departamento de Ginecologia e Obstetrícia, Faculdade de Medicina da Universidade do Porto, Alameda Hernani Monteiro, 4200-319 Porto, Portugal

 Cite this article as: Costa A, Ayres-de-Campos D, Costa F, et al. Prediction of neonatal acidemia by computer analysis of fetal heart rate and ST event signals. Am J Obstet Gynecol 2009;201:464.e1-6.

 This study was supported in part by project 65/2007 of the Comissão de Fomento da Investigação em Cuidados de Saúde from the Portuguese Ministry of Health and by project 70/2007/31B/00322/0059 of the Agência de Inovação, Portugal. The Institute of Biomedical Engineering receives royalties from the Omniview-SisPorto program that are not distributed among the inventors but used solely to promote research.

PII: S0002-9378(09)00427-X

doi:10.1016/j.ajog.2009.04.033


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