Management of postpartum hemorrhage (PPH): algorithm of the interdisciplinary D-A-CH consensus group PPH (Germany – Austria – Switzerland)

Schlembach, D.; Mörtl, M. G.; Girard, T.; Arzt, W.; Beinder, E.; Brezinka, C.; Chalubinski, K.; Fries, D.; Gogarten, W.; Hackelöer, B.-J.; Helmer, H.; Henrich, W.; Hösli, I.; Husslein, P.; Kainer, F.; Lang, U.; Pfanner, G.; Rath, W.; Schleussner, E.; Steiner, H.; ... (2014). Management of postpartum hemorrhage (PPH): algorithm of the interdisciplinary D-A-CH consensus group PPH (Germany – Austria – Switzerland). Der Anaesthesist, 63(3), pp. 234-242. Springer 10.1007/s00101-014-2291-1

[img]
Preview
Text
24584885.pdf - Published Version
Available under License Publisher holds Copyright.

Download (1MB) | Preview

Postpartum hemorrhage (PPH) is one of the main causes of maternal deaths even in industrialized countries. It represents an emergency situation which necessitates a rapid decision and in particular an exact diagnosis and root cause analysis in order to initiate the correct therapeutic measures in an interdisciplinary cooperation. In addition to established guidelines, the benefits of standardized therapy algorithms have been demonstrated. A therapy algorithm for the obstetric emergency of postpartum hemorrhage in the German language is not yet available. The establishment of an international (Germany, Austria and Switzerland D-A-CH) "treatment algorithm for postpartum hemorrhage" was an interdisciplinary project based on the guidelines of the corresponding specialist societies (anesthesia and intensive care medicine and obstetrics) in the three countries as well as comparable international algorithms for therapy of PPH.The obstetrics and anesthesiology personnel must possess sufficient expertise for emergency situations despite lower case numbers. The rarity of occurrence for individual patients and the life-threatening situation necessitate a structured approach according to predetermined treatment algorithms. This can then be carried out according to the established algorithm. Furthermore, this algorithm presents the opportunity to train for emergency situations in an interdisciplinary team.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Gynaecology

UniBE Contributor:

Surbek, Daniel

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1432-055X

Publisher:

Springer

Language:

German

Submitter:

Nathalie Ursula Becher

Date Deposited:

13 Oct 2014 10:58

Last Modified:

05 Dec 2022 14:35

Publisher DOI:

10.1007/s00101-014-2291-1

PubMed ID:

24584885

BORIS DOI:

10.7892/boris.54187

URI:

https://boris.unibe.ch/id/eprint/54187

Actions (login required)

Edit item Edit item
Provide Feedback