TY - JOUR
T1 - Intrapartum care algorithms for liquor abnormalities
T2 - oligohydramnios, meconium, blood and purulent discharge
AU - Liabsuetrakul, T.
AU - Meher, S.
AU - the WHO Intrapartum Care Algorithms Working Group
AU - Ciabati, Livia
AU - de Oliveira, Lariza Laura
AU - Souza, Renato
AU - Browne, Joyce
AU - Rijken, Marcus
AU - Fawcus, Sue
AU - Hofmeyr, Justus
AU - Liabsuetrakul, Tippawan
AU - Gülümser, Çağri
AU - Blennerhassett, Anna
AU - Lissauer, David
AU - Meher, Shireen
AU - Althabe, Fernando
AU - Bonet, Mercedes
AU - Metin Gülmezoglu, A.
AU - Oladapo, Olufemi
N1 - Funding Information: This work was funded by the Bill & Melinda Gates Foundation (grant no. OPP1084318), the United States Agency for International Development (USAID) and the UNDP‐UNFPA‐UNICEF‐WHO‐World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), a co‐sponsored programme executed by the World Health Organization (WHO). The funders had no role in the design, data collection and analysis, decision to publish or preparation of the article. Publisher Copyright: © 2022 John Wiley & Sons Ltd.
PY - 2022
Y1 - 2022
N2 - Aim: To construct evidence-based algorithms for the assessment and management of common amniotic fluid abnormalities detected during labour. Population: Low-risk singleton, term pregnant women in labour. Setting: Birth facilities in low- and middle-income countries. Search Strategy: We searched international guidelines published by the American College of Obstetricians and Gynecologists (ACOG), the National Institute for Health and Care Excellence (NICE), the Royal Australian and New Zealand College of Obstetricians and Gynaecologists (RANZCOG), the Royal College of Obstetricians and Gynaecologists (RCOG), the Society of Obstetrics and Gynaecology (SOGC) and the World Health Organization (WHO). We also searched The Cochrane Library and MEDLINE up to 20 January 2020 using keywords for relevant systematic reviews and randomised trials. Case scenarios: We developed evidence-based intrapartum care algorithms for four case scenarios: oligohydramnios; meconium-stained amniotic fluid; bloody amniotic fluid or vaginal bleeding; and purulent amniotic fluid or discharge. These conditions may be associated with fetal and /or maternal morbidity. Differential diagnosis includes uteroplacental insufficiency, fetal growth restriction, fetal distress, abruption, placenta or vasa praevia, uterine rupture and intra-amniotic infection, respectively. Algorithms include how to assess for, diagnose and manage these conditions. Conclusions: Four algorithms are presented, to provide a systematic approach and guidance on the clinical management for the following amniotic fluid abnormalities: oligohydramnios; meconium-stained liquor; bloody amniotic fluid or vaginal bleeding; and purulent amniotic fluid or discharge. These algorithms may be beneficial in supporting clinical decision making, particularly in low-resource settings. Tweetable abstract: Evidence based algorithms for management of common amniotic fluid abnormalities seen during labour.
AB - Aim: To construct evidence-based algorithms for the assessment and management of common amniotic fluid abnormalities detected during labour. Population: Low-risk singleton, term pregnant women in labour. Setting: Birth facilities in low- and middle-income countries. Search Strategy: We searched international guidelines published by the American College of Obstetricians and Gynecologists (ACOG), the National Institute for Health and Care Excellence (NICE), the Royal Australian and New Zealand College of Obstetricians and Gynaecologists (RANZCOG), the Royal College of Obstetricians and Gynaecologists (RCOG), the Society of Obstetrics and Gynaecology (SOGC) and the World Health Organization (WHO). We also searched The Cochrane Library and MEDLINE up to 20 January 2020 using keywords for relevant systematic reviews and randomised trials. Case scenarios: We developed evidence-based intrapartum care algorithms for four case scenarios: oligohydramnios; meconium-stained amniotic fluid; bloody amniotic fluid or vaginal bleeding; and purulent amniotic fluid or discharge. These conditions may be associated with fetal and /or maternal morbidity. Differential diagnosis includes uteroplacental insufficiency, fetal growth restriction, fetal distress, abruption, placenta or vasa praevia, uterine rupture and intra-amniotic infection, respectively. Algorithms include how to assess for, diagnose and manage these conditions. Conclusions: Four algorithms are presented, to provide a systematic approach and guidance on the clinical management for the following amniotic fluid abnormalities: oligohydramnios; meconium-stained liquor; bloody amniotic fluid or vaginal bleeding; and purulent amniotic fluid or discharge. These algorithms may be beneficial in supporting clinical decision making, particularly in low-resource settings. Tweetable abstract: Evidence based algorithms for management of common amniotic fluid abnormalities seen during labour.
KW - Amniotic fluid
KW - bleeding
KW - chorioamnionitis
KW - intrapartum
KW - liquor
KW - meconium
KW - oligohydramnios
UR - http://www.scopus.com/inward/record.url?scp=85133503636&partnerID=8YFLogxK
U2 - https://doi.org/10.1111/1471-0528.16728
DO - https://doi.org/10.1111/1471-0528.16728
M3 - Article
C2 - 35415944
SN - 1470-0328
JO - BJOG: An International Journal of Obstetrics and Gynaecology
JF - BJOG: An International Journal of Obstetrics and Gynaecology
ER -