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Laboratory prediction of primary postpartum haemorrhage: a comparative cohort study

Overview of attention for article published in BMC Pregnancy and Childbirth, January 2016
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Title
Laboratory prediction of primary postpartum haemorrhage: a comparative cohort study
Published in
BMC Pregnancy and Childbirth, January 2016
DOI 10.1186/s12884-016-0805-3
Pubmed ID
Authors

William K. B. A. Owiredu, Derick N. M. Osakunor, Cornelius A. Turpin, Osei Owusu-Afriyie

Abstract

Postpartum haemorrhage (PPH) is the leading cause of maternal deaths, the world over. The aim of this study was to determine laboratory parameters that could serve as risk factors for primary PPH. This comparative cohort study involved 350 pregnant women at term who were recruited consecutively from the Komfo Anokye Teaching Hospital, Kumasi, Ghana. PPH was defined as a measured blood loss ≥ 500 ml or enough to cause haemodynamic shock. Basic demographic data was gathered and blood was collected for laboratory assays before delivery. Univariate and multivariate logistic regression models were used to identify variables that were significantly associated with primary PPH. Of the total recruited study participants (350), five declined to participate and 74 went through caesarean section, episiotomy or instrumental deliveries and were excluded. Of the remaining (271) study participants who went through spontaneous vaginal delivery, fifty five (55) were diagnosed with primary PPH (Group 1) and the remaining 216 were those who did not have PPH (Group 2). Demographic characteristics did not differ between the two groups (P > 0.05). Univariate analysis showed that AST (P = 0.043), urea (P < 0.001), creatinine (P = 0.002), urea-to-creatinine ratio (P = 0.014) and the proportion of abnormal peripheral blood smear (P < 0.001) was higher among women in Group 1 compared to those in Group 2. Women in Group 1 had a significantly lower haemoglobin concentration (10.7 g/dL) compared to those in Group 2 (12.1g/dL). Upon multivariate analysis, an abnormal peripheral blood smear (AOR = 2.9672), Hb, (AOR = 0.5791), moderate to severe anaemia (Hb <10 g/dL) (AOR = 3.1385), Urea (AOR = 3.6435) and intra-renal azotaemia (AOR = 0.1893) remained significant. Many laboratory parameters are associated with primary PPH but only a few are independent risk factors. A total clinical work-up including laboratory evaluation of the independent blood variables identified in this study will help a great deal to identify individuals at high risk for PPH.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 18%
Student > Master 14 14%
Researcher 11 11%
Student > Postgraduate 11 11%
Student > Doctoral Student 6 6%
Other 15 15%
Unknown 25 25%
Readers by discipline Count As %
Medicine and Dentistry 49 49%
Nursing and Health Professions 15 15%
Social Sciences 3 3%
Agricultural and Biological Sciences 2 2%
Engineering 2 2%
Other 4 4%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 January 2016.
All research outputs
#14,245,321
of 22,840,638 outputs
Outputs from BMC Pregnancy and Childbirth
#2,707
of 4,190 outputs
Outputs of similar age
#207,895
of 396,496 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#43
of 66 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,190 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.