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Obstetrics and Gynecology International
Volume 2014, Article ID 502081, 2 pages

Preeclampsia Prediction and Management

1Department of Biochemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
2Institute for Molecular and Cell Biology (IBMC), University of Porto, 4150-180 Porto, Portugal
3Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
4Center for Research in Health Technologies and Information Systems (CINTESIS), Faculty of Medicine, University of Porto, 4200-450 Porto, Portugal
5Department of Obstetrics and Gynecology, Pedro Hispano Hospital, 4454-509 Matosinhos, Portugal
6Department of Obstetrics and Gynecology, S. João Hospital, 4200-450 Porto, Portugal

Received 11 August 2014; Accepted 11 August 2014; Published 9 November 2014

Copyright © 2014 Irene Rebelo and João Bernardes. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. D. Connealy, C. A. Carreno, B. A. Kase, L. A. Hart, S. C. Blackwell, and B. M. Sibai, “A history of prior preeclampsia as a risk factor for preterm birth,” American Journal of Perinatology, vol. 31, no. 6, pp. 483–488, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. I. Rebelo, J. Bernardes, E. Tejera, and B. Patrício, “Can we predict preeclampsia?” in Controversies in Preeclampsia, E. Sheiner and Y. Yogev, Eds., Obstetrics and Gynecology Advances, pp. 187–210, Nova Science Publishers, New York, NY, USA, 2014. View at Google Scholar