Literature DB >> 28181262

Descriptive characteristics and in-hospital mortality of critically bleeding patients requiring massive transfusion: results from the Australian and New Zealand Massive Transfusion Registry.

R Ruseckaite1, Z K McQuilten1, J C Oldroyd1, T H Richter1, P A Cameron1,2, J P Isbister3, E M Wood1.   

Abstract

BACKGROUND AND OBJECTIVES: Critically bleeding patients requiring massive transfusion (MT) are clinically challenging, and limited data exist to support management decisions. This study describes patient characteristics, transfusion support and clinical outcomes from the Australian and New Zealand (NZ) Massive Transfusion Registry (ANZ-MTR).
MATERIALS AND METHODS: Retrospective, cohort study of all adult patients receiving MT (≥5 units red blood cells [RBC] in 4 h) at participating ANZ-MTR hospitals, 2011-2015. Mortality information was collected from the Australian National Death Index and NZ Ministry of Health. Associations between patient characteristics and outcomes were modelled using logistic regression.
RESULTS: A total of 3560 MT cases were identified. For in-hospital deaths, cardiothoracic surgery was the most frequent bleeding context (24·5%) followed by trauma (18·3%). Age (OR = 1·03; 95% CI: 1·02-1·04), more comorbidities (OR = 1·14; 95% CI: 1·09-1·21), larger volume of RBC in first 24 h from MT onset (OR = 1·04; 95% CI: 1·02-1·06), higher platelet to RBC ratio at 4 h (OR = 2·76; 95% CI: 1·14-6·65) and higher activated partial thromboplastin time (OR = 1·02; 95% CI: 1·01-1·03) were associated with in-hospital mortality.
CONCLUSION: Patients with more comorbidities, older age, traumatic or surgical bleeding or requiring more blood components had higher in-hospital mortality. These findings provide a basis to evaluate and monitor practice relating to optimal use of blood products, variation in transfusion practices and patient outcomes, and also enable benchmarking of hospital performance for management of MT in specific patient groups.
© 2017 International Society of Blood Transfusion.

Entities:  

Keywords:  critical bleeding; massive transfusion; mortality; registry

Mesh:

Year:  2017        PMID: 28181262     DOI: 10.1111/vox.12487

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.144


  7 in total

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Journal:  Blood Transfus       Date:  2020-09-18       Impact factor: 3.443

Review 2.  Massive transfusion triggers in severe trauma: Scoping review.

Authors:  Cristina Estebaranz-Santamaría; Ana María Palmar-Santos; Azucena Pedraz-Marcos
Journal:  Rev Lat Am Enfermagem       Date:  2018-11-29

3.  The role of evidence-based algorithms for rotational thromboelastometry-guided bleeding management.

Authors:  Klaus Görlinger; Antonio Pérez-Ferrer; Daniel Dirkmann; Fuat Saner; Marc Maegele; Ángel Augusto Pérez Calatayud; Tae-Yop Kim
Journal:  Korean J Anesthesiol       Date:  2019-05-17

4.  Bleeding Management Practices of Australian Cardiac Surgeons, Anesthesiologists and Perfusionists: A Cross-Sectional National Survey Incorporating the Theoretical Domains Framework (TDF) and COM-B Model.

Authors:  Bronwyn L Pearse; Samantha Keogh; Claire M Rickard; Daniel J Faulke; Ian Smith; Douglas Wall; Charles McDonald; Yoke L Fung
Journal:  J Multidiscip Healthc       Date:  2020-01-15

5.  Resuscitation Patterns and Massive Transfusion for the Critical Bleeding Dog-A Multicentric Retrospective Study of 69 Cases (2007-2013).

Authors:  Claire Tucker; Anna Winner; Ryan Reeves; Edward S Cooper; Kelly Hall; Julie Schildt; David Brown; Julien Guillaumin
Journal:  Front Vet Sci       Date:  2022-01-05

6.  Diagnostic value of intravenous oxygen saturation compared with arterial and venous base excess to predict hemorrhagic shock in multiple trauma patients.

Authors:  Ali Taherinia; Ghazal Saba; Mohsen Ebrahimi; Koorosh Ahmadi; Zabihollah Taleshi; Peyman Khademhosseini; Ali Soltanian; Atie Safaee; Mehran Bahramian; Shahin Gharakhani; Mohammad Ali Jafari Nodoshan
Journal:  J Family Med Prim Care       Date:  2021-07-30

7.  Barriers and facilitators to implementing evidence based bleeding management in Australian Cardiac Surgery Units: a qualitative interview study analysed with the theoretical domains framework and COM-B model.

Authors:  Bronwyn L Pearse; Samantha Keogh; Claire M Rickard; Yoke L Fung
Journal:  BMC Health Serv Res       Date:  2021-06-05       Impact factor: 2.655

  7 in total

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