Literature DB >> 12668181

Bacterial contamination and transfusion safety: experience in the United States.

Roger Y Dodd1.   

Abstract

In the United States, septic reactions from bacterial contamination of blood components are considered to be the most frequent and serious infectious outcomes of transfusion, reflecting 77 of 694 transfusion-related deaths reported to the FDA, during the period 1985-1999. A number of recent surveillance programs have emphasized this, with nationally reported rates of about 10 per million platelet units transfused and about 1.4 per 10,000 transfusions in one hospital: significant fatality rates were noted in each setting. Although there is currently no regulatory requirement to undertake additional measures to reduce this adverse outcome, a number of approaches are under consideration. These include increased attention to skin preparation, diversion of the initial volume at phlebotomy, and the use of automated bacterial culture. A number of research studies are directed towards accessible methods for the detection of bacterial contamination. These include a modified culture approach for use in the blood center and tests that may be applied to platelet units shortly before transfusion. In addition, there is clear evidence that platelets prepared by apheresis offer lower overall risk to recipients as a result of the lower number of discrete products received by each patient. It is anticipated that pathogen reduction procedures may also impact bacterial contamination, but such procedures are not yet available in the US.

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Mesh:

Year:  2003        PMID: 12668181     DOI: 10.1016/s1246-7820(02)00277-x

Source DB:  PubMed          Journal:  Transfus Clin Biol        ISSN: 1246-7820            Impact factor:   1.406


  11 in total

1.  Laboratory Evaluation of the Effectiveness of Pathogen Reduction Procedures for Bacteria.

Authors:  Thomas H Müller; Thomas Montag; Axel W Seltsam
Journal:  Transfus Med Hemother       Date:  2011-07-08       Impact factor: 3.747

2.  A prospective study to determine the frequency of bacterial contamination of platelets.

Authors:  Nagarekha Kulkarni
Journal:  Indian J Hematol Blood Transfus       Date:  2013-02-12       Impact factor: 0.900

3.  Multimodal Magneto-Fluorescent Nanosensor for Rapid and Specific Detection of Blood-Borne Pathogens.

Authors:  Tuhina Banerjee; Tanuja Tummala; Rebekah Elliott; Vedant Jain; Wesley Brantley; Laci Hadorn; Santimukul Santra
Journal:  ACS Appl Nano Mater       Date:  2019-08-19

4.  Bacterial contamination of donor blood at the Tamale Teaching Hospital, Ghana.

Authors:  C Opoku-Okrah; P Feglo; N Amidu; M P Dakorah
Journal:  Afr Health Sci       Date:  2009-03       Impact factor: 0.927

5.  Evaluation of Mirasol pathogen reduction system by artificially contaminating platelet concentrates with Staphylococcus epidermidis: A pilot study from India.

Authors:  Kabita Chatterjee; Shamsuz Zaman; Rahul Chaurasia; Surinder Singh; Shawn D Keil; Shalini Tewari; Akanksha Bisht; Nitin Agarwal; Diptiranjan Rout; Subhash Chand; Kallol Saha
Journal:  Asian J Transfus Sci       Date:  2016 Jul-Dec

6.  Evaluation of bacterial inactivation in random donor platelets and single-donor apheresis platelets by the INTERCEPT blood system.

Authors:  Raj Nath Makroo; Raman Sardana; Leena Mediratta; Hena Butta; Uday Kumar Thakur; Soma Agrawal; Mohit Chowdhry; Satendra Kumar; Sourit Chokroborty
Journal:  Asian J Transfus Sci       Date:  2018 Jul-Dec

7.  Bacterial contamination of pediatric whole blood transfusions in a Kenyan hospital.

Authors:  Oliver Hassall; Kathryn Maitland; Lewa Pole; Salim Mwarumba; Douglas Denje; Kongo Wambua; Brett Lowe; Christopher Parry; Kishor Mandaliya; Imelda Bates
Journal:  Transfusion       Date:  2009-08-04       Impact factor: 3.157

8.  Treatment of Platelet Products with Riboflavin and UV Light: Effectiveness Against High Titer Bacterial Contamination.

Authors:  Shawn D Keil; Nick Hovenga; Denise Gilmour; Susanne Marschner; Raymond Goodrich
Journal:  J Vis Exp       Date:  2015-08-24       Impact factor: 1.355

9.  Big data modeling to predict platelet usage and minimize wastage in a tertiary care system.

Authors:  Leying Guan; Xiaoying Tian; Saurabh Gombar; Allison J Zemek; Gomathi Krishnan; Robert Scott; Balasubramanian Narasimhan; Robert J Tibshirani; Tho D Pham
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-09       Impact factor: 11.205

Review 10.  Ultraviolet-Based Pathogen Inactivation Systems: Untangling the Molecular Targets Activated in Platelets.

Authors:  Peter Schubert; Lacey Johnson; Denese C Marks; Dana V Devine
Journal:  Front Med (Lausanne)       Date:  2018-05-07
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