AI Article Synopsis

  • Postpartum hemorrhage is a critical situation that may require surgeons to act quickly, but many lack adequate training or knowledge in this area due to limited exposure in surgical residency programs.
  • This manuscript aims to provide a focused review and a management algorithm for surgeons, aided by an extensive literature review and expert opinions across related fields.
  • The proposed algorithm outlines a systematic approach for surgeons to manage postpartum hemorrhage effectively, encouraging better-informed responses in emergencies.

Article Abstract

Background: Postpartum hemorrhage is one of the rare occasions when a general or acute care surgeon may be emergently called to labor and delivery, a situation in which time is limited and the stakes high. Unfortunately, there is generally a paucity of exposure and information available to surgeons regarding this topic: obstetric training is rarely found in contemporary surgical residency curricula and is omitted nearly completely from general and acute care surgery literature and continuing medical education.

Methods: The purpose of this manuscript is to serve as a topic specific review for surgeons and to present a surgeon oriented management algorithm. Medline and Ovid databases were utilized in a comprehensive literature review regarding the management of postpartum hemorrhage and a management algorithm for surgeons developed based upon a collaborative panel of general, acute care, trauma and obstetrical surgeons' review of the literature and expert opinion.

Results: A stepwise approach for surgeons of the medical and surgical interventions utilized to manage and treat postpartum hemorrhage is presented and organized into a basic algorithm.

Conclusion: The manuscript should promote and facilitate a more educated, systematic and effective surgeon response and participation in the management of postpartum hemorrhage.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2788527PMC
http://dx.doi.org/10.1186/1749-7922-4-43DOI Listing

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