Literature DB >> 34993930

Iron Deficiency Anaemia and Atonic Postpartum Haemorrhage Following Labour.

Terence T Lao1, Lulu L Wong2, Shuk Yi Annie Hui2, Daljit S Sahota2.   

Abstract

The purpose of this retrospective cohort study is to determine if iron deficiency anaemia (IDA) is associated with increased atonic postpartum haemorrhage (PPH) following labour. Women with singleton pregnancy carried to 24 or more weeks gestation, who were delivered under our care from 1997 to 2019, constituted the study population. A diagnosis of IDA was based on the finding of haemoglobin <10 g/dL and serum ferritin <15 μg/L in the absence of haemoglobinopathies. Women with elective caesarean section were excluded. Maternal characteristics, use of oxytocin, labour outcome and occurrence of PPH were compared between women with and without a diagnosis of IDA. The 1032 women (0.86%) with IDA exhibited slightly but significantly different maternal characteristics and had significantly higher incidence of total (4.5% versus 3.2%, p = 0.024) and atonic PPH (3.1% versus 2.0%, p = 0.011) despite similar incidences of labour induction, augmentation, and instrumental and intrapartum caesarean delivery. Multivariate analysis with adjustment for the effects of age, body mass index, height, parity, abortion history, labour induction and augmentation, instrumental delivery and infant macrosomia demonstrated that IDA was independently associated with total PPH (adjusted relative risk, aRR: 1.455, 95% confidence ratio, CI: 1.040-2.034) and atonic PPH (aRR: 1.588, 95% CI: 1.067-2.364). Our results indicate that despite the low prevalence in our population, IDA was independently associated with atonic PPH, probably consequent to placental adaptive changes in the presence of IDA. The correction and prevention of IDA could be the most important measure in countering the rising global prevalence of atonic PPH.
© 2021. Society for Reproductive Investigation.

Entities:  

Keywords:  Atonic postpartum haemorrhage; Iron deficiency anaemia; Labour; Pregnancy

Mesh:

Year:  2022        PMID: 34993930     DOI: 10.1007/s43032-021-00534-1

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  32 in total

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