Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
2402 participants
OBSERVATIONAL
2022-10-10
2023-07-26
Brief Summary
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In this study, the incidence of PPH in the maternal ward of the CHU Brugmann will be analyzed. This is a tertiary maternal ward with a high proportion of high risk pregnancies with around 3000 admissions per year.
Primary aim of this study is to evaluate the epidemiology of PPH in the CHU Brugmann, incidence and possible underlying causes will be identified and compared to the current literature. A data mining technique will be used to construct a prediction model for PPH.
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Interventions
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Pregnant women who have given birth vaginally or by cesarean section
Full-term pregnant women who have given birth vaginally or by cesarean section with PPH. Descriptive statistics and possible causal factors
Eligibility Criteria
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Inclusion Criteria
* ≥ 18 years
Exclusion Criteria
* Age \> 60 years
* delivery before 25th week of pregnancy
* delivery outside of the hospital
* abortion
18 Years
60 Years
FEMALE
No
Sponsors
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Brugmann University Hospital
OTHER
Responsible Party
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Denis SCHMARTZ
Head of department, anesthesiology
Principal Investigators
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Tatiana Besse, MD
Role: STUDY_DIRECTOR
CHU Brugmann
Locations
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CHU Brugmann
Brussels, , Belgium
Countries
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References
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Deneux-Tharaux C, Bonnet MP, Tort J. [Epidemiology of post-partum haemorrhage]. J Gynecol Obstet Biol Reprod (Paris). 2014 Dec;43(10):936-50. doi: 10.1016/j.jgyn.2014.09.023. Epub 2014 Nov 6. French.
Say L, Chou D, Gemmill A, Tuncalp O, Moller AB, Daniels J, Gulmezoglu AM, Temmerman M, Alkema L. Global causes of maternal death: a WHO systematic analysis. Lancet Glob Health. 2014 Jun;2(6):e323-33. doi: 10.1016/S2214-109X(14)70227-X. Epub 2014 May 5.
Committee on Practice Bulletins-Obstetrics. Practice Bulletin No. 183: Postpartum Hemorrhage. Obstet Gynecol. 2017 Oct;130(4):e168-e186. doi: 10.1097/AOG.0000000000002351.
Reale SC, Easter SR, Xu X, Bateman BT, Farber MK. Trends in Postpartum Hemorrhage in the United States From 2010 to 2014. Anesth Analg. 2020 May;130(5):e119-e122. doi: 10.1213/ANE.0000000000004424.
Diaz V, Abalos E, Carroli G. Methods for blood loss estimation after vaginal birth. Cochrane Database Syst Rev. 2018 Sep 13;9(9):CD010980. doi: 10.1002/14651858.CD010980.pub2.
Nyflot LT, Sandven I, Stray-Pedersen B, Pettersen S, Al-Zirqi I, Rosenberg M, Jacobsen AF, Vangen S. Risk factors for severe postpartum hemorrhage: a case-control study. BMC Pregnancy Childbirth. 2017 Jan 10;17(1):17. doi: 10.1186/s12884-016-1217-0.
Girault A, Deneux-Tharaux C, Sentilhes L, Maillard F, Goffinet F. Undiagnosed abnormal postpartum blood loss: Incidence and risk factors. PLoS One. 2018 Jan 10;13(1):e0190845. doi: 10.1371/journal.pone.0190845. eCollection 2018.
Anger H, Durocher J, Dabash R, Winikoff B. How well do postpartum blood loss and common definitions of postpartum hemorrhage correlate with postpartum anemia and fall in hemoglobin? PLoS One. 2019 Aug 22;14(8):e0221216. doi: 10.1371/journal.pone.0221216. eCollection 2019.
Goad L, Rockhill K, Schwarz J, Heyborne K, Fabbri S. Development and validation of a prediction model for postpartum hemorrhage at a single safety net tertiary care center. Am J Obstet Gynecol MFM. 2021 Sep;3(5):100404. doi: 10.1016/j.ajogmf.2021.100404. Epub 2021 May 25.
Ambler G, Omar RZ, Royston P. A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome. Stat Methods Med Res. 2007 Jun;16(3):277-98. doi: 10.1177/0962280206074466.
Other Identifiers
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PPH
Identifier Type: -
Identifier Source: org_study_id
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