Literature DB >> 31087316

Effect of Implementing Quantitative Blood Loss Assessment at the Time of Delivery.

Elizabeth Coviello1,2, Sara Iqbal1, Tetsuya Kawakita1,2, Rebecca Chornock3, Megan Cheney3, Sameer Desale4, Melissa Fries1.   

Abstract

OBJECTIVE: To evaluate the ability of estimated blood loss (EBL) and quantitative blood loss (qBL) to predict need for blood transfusion in women with postpartum hemorrhage (PPH). STUDY
DESIGN: This is a retrospective chart review that identified women with PPH (>1,000 mL for vaginal or cesarean delivery) between September 2014 and August 2015, reported by EBL (n = 92), and October 2015 and September 2016, reported by qBL (n = 374). The primary metric was the area under the receiver-operating characteristic curve for blood transfusion.
RESULTS: The rate of PPH by EBL and qBL was 2.8 and 10.8%, respectively (p < 0.01). The rate of transfusion for women meeting criteria for PPH by EBL and QBL were 2% (66/3,307) and 2.7% (93/3,453), respectively (p = 0.06). Postpartum transfusion was predicted by an EBL of 1,450 mL with AUC 0.826 and qBL 1,519 mL with AUC 0.764, for all modes of delivery. Postpartum vital signs and change in pre- and postdelivery hematocrit were poor predictors for transfusion.
CONCLUSION: The rates of PPH increased with the implementation of qBL. Overall, qBL did not perform better than EBL in predicting the need for blood transfusion. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Entities:  

Year:  2019        PMID: 31087316     DOI: 10.1055/s-0039-1688823

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  2 in total

1.  Effect of implementation of a colorimetric quantitative blood loss system for postpartum hemorrhage.

Authors:  Maryalice Wolfe; Jamil M Kazma; Ann B Burke; Homa K Ahmadzia
Journal:  Int J Gynaecol Obstet       Date:  2022-04-16       Impact factor: 4.447

2.  Multidisciplinary Programed Learning Simulation to Improve Visual Blood Loss Estimation for Obstetric Trauma Scenarios.

Authors:  Jane Ponterio; Maleeha Ahmad; Aparna Vancheswaran; Nisha Lakhi
Journal:  J Adv Med Educ Prof       Date:  2022-01
  2 in total

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