Literature DB >> 31593290

[Preterm delivery: an overview on prediction, prevention and treatment].

Bo Jacobsson1, Sissel Saltvedt2, Anna-Karin Wikström3, Nils-Halvdan Morken4, Åsa Leijonhufvud5, Henrik Hagberg6.   

Abstract

Due to a low level of understanding of mechanisms involved in spontaneous preterm delivery there is a lack of reliable biomarkers. Existing biomarkers have a low positive predictive value but a high negative predictive value. Use of tests with high negative predictive value will reduce unnecessary interventions and hospitalization of women with threatening preterm delivery. When given to the right pregnant women, antenatal corticosteroid treatment are still the most important obstetrical intervention and reduces both neonatal mortality and short- and long-term morbidity.Several ongoing national Swedish multicenter studies may increase the understanding of the roles of cervical length, preeclampsia screening and magnesium sulfate dosage in the context of preterm delivery in a Nordic setting. Major development has been achieved in prediction and prevention of preterm preeclampsia at the cost of a 10% screen positive rate.

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Year:  2019        PMID: 31593290

Source DB:  PubMed          Journal:  Lakartidningen        ISSN: 0023-7205


  2 in total

1.  Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol.

Authors:  Alkistis Skalkidou; Fotios C Papadopoulos; Ayesha M Bilal; Emma Fransson; Emma Bränn; Allison Eriksson; Mengyu Zhong; Karin Gidén; Ulf Elofsson; Cathrine Axfors
Journal:  BMJ Open       Date:  2022-04-27       Impact factor: 3.006

2.  Characteristics and short-term obstetric outcomes in a case series of 67 women test-positive for SARS-CoV-2 in Stockholm, Sweden.

Authors:  Katarina Remaeus; Julia Savchenko; Sophia Brismar Wendel; Sebastian Brusell Gidlöf; Sophie Graner; Elin Jones; Johanna Molin; Sissel Saltvedt; Tove Wallström; Karin Pettersson
Journal:  Acta Obstet Gynecol Scand       Date:  2020-11-05       Impact factor: 4.544

  2 in total

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