Eclampsia
What's New
Last Posted: Mar 26, 2024
- Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study.
Tünde Montgomery-Csobán et al. Lancet Digit Health 2024 6(4) e238-e250 - Prediction of pregnancy-related complications in women undergoing assisted reproduction, using machine learning methods.
Chen Wang et al. Fertil Steril 2024 - A comprehensive view of pregnancy in patients with sickle cell disease in high-income countries: the need for robust data and further decline in morbidity and mortality.
Laure Joseph et al. Lancet Haematol 2023 11(1) e75-e84 - Pregnant and Living with Sickle Cell Disease: A Push for Better Outcomes
NIH, September 2023 - Experts say Found’s story highlights the extraordinary complexity of the problem for pregnant people living with SCD – and the critical importance of receiving proper, specialized care as early as possible. This is especially true now that medical advances in care and disease-modifying therapies have helped many people living with SCD survive well through their reproductive years. For parents-to-be, that means awareness is key. Individuals with SCD are at higher risk than the general population for preeclampsia, as Found discovered; but those with preeclampsia can go on to develop a condition called eclampsia, which can lead to seizures and even coma. People with SCD are also at higher risk for sepsis and blood clots. And there are risks for the fetus, such as lower-than-normal growth in the womb, preterm delivery, and stillbirth.
K Miller, Self, September 2023 - Using the methylome to predict pre-eclampsia
Tu’uhevaha J. Kaitu’u-Lino et al, Nature Medicine, August 28, 2023 - Machine learning and disease prediction in obstetrics.
Zara Arain et al. Curr Res Physiol 2023 6100099 - Polygenic prediction of preeclampsia and gestational hypertension.
Michael C Honigberg et al. Nat Med 2023 5 - Association of Hypertensive Disorders of Pregnancy With Future Cardiovascular Disease.
Bilal Rayes et al. JAMA network open 2023 6(2) e230034 - Dynamic gestational week prediction model for pre-eclampsia based on ID3 algorithm.
Li Ziwei et al. Frontiers in physiology 2022 131035726
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Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
Content Summary
Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Eclampsia
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Glomerulonephritis
- Graves Disease
- Hemophilia
- Huntington Disease
- Microcephaly
- Myasthenia Gravis
- Phenylketonuria
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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