Improving decision making for massive transfusions in a resource poor setting: a preliminary study in Kenya.

ABSTRACT:

Background

The reality of finite resources has a real-world impact on a patient's ability to receive life-saving care in resource-poor settings. Blood for transfusion is an example of a scarce resource. Very few studies have looked at predictors of survival in patients requiring massive transfusion. We used data from a rural hospital in Kenya to develop a prediction model of survival among patients receiving massive transfusion.

Methods

Patients who received five or more units of whole blood within 48 hours between 2004 and 2010 were identified from a blood registry in a rural hospital in Kenya. Presenting characteristics and in-hospital survival were collected from charts. Using stepwise selection, a logistic model was developed to predict who would survive with massive tra

SUBMITTER: Riviello ED 

PROVIDER: S-EPMC4447346 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature