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  1. In our study, we aimed to review the obstetric outcomes after the continuation of pregnancies with anencephalic fetuses, to review the obstetric impact and natural history of anencephalic pregnancies, and to define the maternal risks in the continuation of pregnancies with non-life expectant babies.

  2. Background: To review the obstetric outcomes of pregnancies with anencephalic fetuses when these pregnancies are not terminated and ongoing. Methods: A retrospective chart review is made of the cases with a prenatal diagnosis of anencephaly and who were opted to continue the pregnancy in 1-year period. The evaluated data included gestational ...

  3. Anencephaly is a congenital anomaly characterized by failure of development of the cerebral hemispheres and overlying skull and scalp, exposing the brain stem. This condition exists in varying degrees of severity. Most infants who have anencephaly do not survive for more than a few days after birth.

  4. 1 cze 2023 · As a rule, aborting the fetal patient after viability violates beneficence-based obligations to it and is therefore ethically impermissible no matter what the law might permit. The first well-established exception to the prohibition against aborting a third trimester fetus was anencephaly.

  5. 1 kwi 2019 · One of the other mothers, who became pregnant within three months of the death of her baby, said that the first three years of her next baby's life were filled with high levels of anxiety. Three of the four mothers had subsequent healthy pregnancies.

  6. Anencephaly is the most severe of fetal neural tube defects, resulting from failure of the neural tube to close at the base of the skull in the third or fourth week (day 26 to 28) after conception [1], leaving skull bones that usually surround the head unformed.

  7. The purpose of this study was to estimate the frequency of termination of pregnancy (TOP) following prenatal diagnosis of anencephaly or spina bifida and to investigate factors associated with TOP that might lead to selection bias in epidemiologic studies.

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