| Title | Prediction of neonatal acidemia by computer analysis of fetal heart rate and ST event signals |
| Publication Type | Journal Article |
| 2009 |
| Authors | Costa, A, Ayres-de-Campos, D, Costa, F, Santos, C, Bernardes, J |
| Journal | American Journal of Obstetrics and GynecologyAm. J. Obstet. Gynecol. |
| Volume | 201 |
| Issue | 5 |
| Pagination | 464.e1 - 464.e6 |
| Date Published | 2009/// |
| 00029378 (ISSN) |
| acidemia, Acidosis, article, autoanalysis, Cardiotocography, computer analysis, computer assisted, computer prediction, Diagnosis, Computer-Assisted, diagnostic value, Electrocardiography, Female, Fetal heart rate, Fetal hypoxia, Fetal monitoring, fetus electrocardiography, fetus heart rate, Heart Rate, Fetal, human, Humans, Infant, Newborn, major clinical study, male, newborn, newborn acidosis, observational study, pH, Predictive Value of Tests, priority journal, Prospective Studies, prospective study, Reproducibility of Results, sensitivity and specificity, signal transduction, ST segment, umbilical artery |
| 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. © 2009 Mosby, Inc. All rights reserved. |
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