scholarly journals Clinical and Hematological Risk Factors for Postpartum Hemorrhage: A 2 Years Population Based Cohort Study in France

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1210-1210
Author(s):  
Claire Salomon ◽  
Claire De Moreuil ◽  
Jacob Hannigsberg ◽  
Christophe Trémouilhac ◽  
Guillaume Drugmanne ◽  
...  

Abstract Objective: To determine clinical and hematological risk factors for immediate postpartum hemorrhage (PPH). Design: A cohort study. Setting: Obstetric unit of Brest University Hospital (France). Population: All women who underwent a vaginal delivery between April 1, 2013 and May 29, 2015. Methods: Clinical data were collected by obstetricians or midwives during antenatal care visits, labor and delivery, and recorded by trained research assistants in a standardized electronic case report form. Hematological variables, including immature platelet fraction, were measured from a blood sample systematically performed at the entrance in the delivery room. Main Outcome Measures: Postpartum hemorrhage (PPH), measured with a graduated collector bag, was defined as blood loss of at least 500ml. Results: 2742 women were studied. PPH occurred in 141 (5%) women. Seven clinical factors were independently associated with PPH: pre-eclampsia (OR 5.85, 95%CI 2.02-16.90), multiple pregnancy (OR 3.28 (1.21-8.91), assisted reproduction (OR 2.75, 95%CI 1.45-5.20), ante partum bleeding (OR 2.15, 95%CI 1.24-3.73), post-term delivery (OR 1.93, 95%CI 1.17-3.17), obesity (OR 2.95, 95%CI 1.76-4.93) and episiotomy (OR 2.51, 95%CI 1.63-3.74). Three hematological factors were additionally identified as potential predictive factors for PPH: platelets < 150 000 Giga/L (OR 2.98, 95%CI 1.63-5.46), fibrinogen < 4.5 g/dL (OR 1.86, 95%CI 1.21-2.87) and APTT ratio ≥ 1.1 (OR 2.16, 95%CI 1.31-3.57). Conclusion: Besides classical risk factors, this study highlighted the role of assisted pregnancy and obesity in the PPH occurrence, and identified simple hematological predictive risk factors for PPH. How these parameters could be integrated in a helpful prediction score of PPH remains to be determined. Disclosures Pan-Petesch: LFB: Other: Investigator.

Blood ◽  
2014 ◽  
Vol 124 (18) ◽  
pp. 2872-2880 ◽  
Author(s):  
Alyshah Abdul Sultan ◽  
Matthew J. Grainge ◽  
Joe West ◽  
Kate M. Fleming ◽  
Catherine Nelson-Piercy ◽  
...  

Key Points For women with preeclampsia, BMI >30 kg/m2, infection, or those having cesarean delivery, VTE risk remained elevated for 6 weeks postpartum. For women with postpartum hemorrhage or preterm birth, the relative rate of VTE was only increased for the first 3 weeks postpartum.


2021 ◽  
Vol 6 (2) ◽  
pp. e97-e105
Author(s):  
Katie Harron ◽  
Ruth Gilbert ◽  
Jamie Fagg ◽  
Astrid Guttmann ◽  
Jan van der Meulen

Bone ◽  
2013 ◽  
Vol 52 (1) ◽  
pp. 516-523 ◽  
Author(s):  
Shigeyuki Muraki ◽  
Toru Akune ◽  
Yuyu Ishimoto ◽  
Keiji Nagata ◽  
Munehito Yoshida ◽  
...  

2016 ◽  
Vol 103 (10) ◽  
pp. 1350-1357 ◽  
Author(s):  
A. Talseth ◽  
E. Ness-Jensen ◽  
T.-H. Edna ◽  
K. Hveem

2012 ◽  
Vol 64 (5) ◽  
pp. 1447-1456 ◽  
Author(s):  
Shigeyuki Muraki ◽  
Toru Akune ◽  
Hiroyuki Oka ◽  
Yuyu Ishimoto ◽  
Keiji Nagata ◽  
...  

Author(s):  
Concepción Carratala-Munuera ◽  
Adriana Lopez-Pineda ◽  
Domingo Orozco-Beltran ◽  
Jose A. Quesada ◽  
Jose L. Alfonso-Sanchez ◽  
...  

Evidence shows that objectives for detecting and controlling cardiovascular risk factors are not being effectively met, and moreover, outcomes differ between men and women. This study will assess the gender-related differences in diagnostic inertia around the three most prevalent cardiovascular risk factors: dyslipidemia, arterial hypertension, and diabetes mellitus, and to evaluate the consequences on cardiovascular disease incidence. This is an epidemiological and cohort study. Eligible patients will be adults who presented to public primary health care centers in a Spanish region from 2008 to 2011, with hypertension, dyslipidemia, or/and diabetes and without cardiovascular disease. Participants’ electronic health records will be used to collect the study variables in a window of six months from inclusion. Diagnostic inertia of hypertension, dyslipidemia, and/or diabetes is defined as the registry of abnormal diagnostic parameters—but no diagnosis—on the person’s health record. The cohort will be followed from the date of inclusion until the end of 2019. Outcomes will be cardiovascular events, defined as hospital admission due to ischemic cardiopathy, stroke, and death from any cause. The results of this study could inform actions to rectify the structure, organization and training of health care teams in order to correct the inequality.


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