Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy
Abstract The extent to which women differ in the course of blood cell counts throughout pregnancy, and the importance of these changes to pregnancy outcomes has not been well defined. Here, we develop a series of statistical analyses of repeated measures data to reveal the degree to which women diff...
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2021-09-01
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doaj-4018dafa449942b7b906c3b69050d2b52021-10-03T11:32:48ZengNature Publishing GroupScientific Reports2045-23222021-09-011111810.1038/s41598-021-98411-zPostpartum hemorrhage risk is driven by changes in blood composition through pregnancyMatthew R. Robinson0Marion Patxot1Miloš Stojanov2Sabine Blum3David Baud4Institute of Science and Technology AustriaDepartment of Computational Biology, University of LausanneDepartment of Obstetrics and Gynecology, Materno-fetal and Obstetrics Research Unit, Centre Hospitalier Universitaire VaudoisService d’hématologie, Centre Hospitalier Universitaire VaudoisDepartment of Obstetrics and Gynecology, Materno-fetal and Obstetrics Research Unit, Centre Hospitalier Universitaire VaudoisAbstract The extent to which women differ in the course of blood cell counts throughout pregnancy, and the importance of these changes to pregnancy outcomes has not been well defined. Here, we develop a series of statistical analyses of repeated measures data to reveal the degree to which women differ in the course of pregnancy, predict the changes that occur, and determine the importance of these changes for post-partum hemorrhage (PPH) which is one of the leading causes of maternal mortality. We present a prospective cohort of 4082 births recorded at the University Hospital, Lausanne, Switzerland between 2009 and 2014 where full labour records could be obtained, along with complete blood count data taken at hospital admission. We find significant differences, at a $$p<0.001$$ p < 0.001 level, among women in how blood count values change through pregnancy for mean corpuscular hemoglobin, mean corpuscular volume, mean platelet volume, platelet count and red cell distribution width. We find evidence that almost all complete blood count values show trimester-specific associations with PPH. For example, high platelet count (OR 1.20, 95% CI 1.01–1.53), high mean platelet volume (OR 1.58, 95% CI 1.04–2.08), and high erythrocyte levels (OR 1.36, 95% CI 1.01–1.57) in trimester 1 increased PPH, but high values in trimester 3 decreased PPH risk (OR 0.85, 0.79, 0.67 respectively). We show that differences among women in the course of blood cell counts throughout pregnancy have an important role in shaping pregnancy outcome and tracking blood count value changes through pregnancy improves identification of women at increased risk of postpartum hemorrhage. This study provides greater understanding of the complex changes in blood count values that occur through pregnancy and provides indicators to guide the stratification of patients into risk groups.https://doi.org/10.1038/s41598-021-98411-z |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matthew R. Robinson Marion Patxot Miloš Stojanov Sabine Blum David Baud |
spellingShingle |
Matthew R. Robinson Marion Patxot Miloš Stojanov Sabine Blum David Baud Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy Scientific Reports |
author_facet |
Matthew R. Robinson Marion Patxot Miloš Stojanov Sabine Blum David Baud |
author_sort |
Matthew R. Robinson |
title |
Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy |
title_short |
Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy |
title_full |
Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy |
title_fullStr |
Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy |
title_full_unstemmed |
Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy |
title_sort |
postpartum hemorrhage risk is driven by changes in blood composition through pregnancy |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-09-01 |
description |
Abstract The extent to which women differ in the course of blood cell counts throughout pregnancy, and the importance of these changes to pregnancy outcomes has not been well defined. Here, we develop a series of statistical analyses of repeated measures data to reveal the degree to which women differ in the course of pregnancy, predict the changes that occur, and determine the importance of these changes for post-partum hemorrhage (PPH) which is one of the leading causes of maternal mortality. We present a prospective cohort of 4082 births recorded at the University Hospital, Lausanne, Switzerland between 2009 and 2014 where full labour records could be obtained, along with complete blood count data taken at hospital admission. We find significant differences, at a $$p<0.001$$ p < 0.001 level, among women in how blood count values change through pregnancy for mean corpuscular hemoglobin, mean corpuscular volume, mean platelet volume, platelet count and red cell distribution width. We find evidence that almost all complete blood count values show trimester-specific associations with PPH. For example, high platelet count (OR 1.20, 95% CI 1.01–1.53), high mean platelet volume (OR 1.58, 95% CI 1.04–2.08), and high erythrocyte levels (OR 1.36, 95% CI 1.01–1.57) in trimester 1 increased PPH, but high values in trimester 3 decreased PPH risk (OR 0.85, 0.79, 0.67 respectively). We show that differences among women in the course of blood cell counts throughout pregnancy have an important role in shaping pregnancy outcome and tracking blood count value changes through pregnancy improves identification of women at increased risk of postpartum hemorrhage. This study provides greater understanding of the complex changes in blood count values that occur through pregnancy and provides indicators to guide the stratification of patients into risk groups. |
url |
https://doi.org/10.1038/s41598-021-98411-z |
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