Affiliations 

  • 1 Advanced Medical and Dental Institute (AMDI), University of Science, 13200 Kepala Batas, Pulau Pinang Malaysia
  • 2 Institute for Medical Research, Jalan Pahang, 50588 Kuala Lumpur, Malaysia
  • 3 National Blood Centre, Jalan Tun Razak, 50400 Kuala Lumpur, Malaysia
Indian J Hematol Blood Transfus, 2014 Jun;30(2):105-10.
PMID: 24839364 DOI: 10.1007/s12288-012-0213-4

Abstract

The World Health Organization (WHO) recommend that all donated blood are to be screened for at least three viral infections [human immunodeficiency virus (HIV), hepatitis C virus (HCV), hepatitis B virus (HBV)]. The National Blood Centre, Kuala Lumpur (NBCKL) aims to reduce transfusion transmitted infections (TTI) as it still remains as one of the major risk for blood transfusion. A cross sectional study was conducted at the National Blood Centre, Kuala Lumpur from 1st January 2009 to 31st June 2010. Data from 581,020 donors were analyzed from year 2004 to 2008. All data were retrieved from NBCKL Blood Bank Information System (BBIS). A total of 201 repeat donors were included in the study based on the inclusion criteria but only 132 repeat donors agreed to participate. Information on sociodemographic, risk factors, knowledge of donors and high risk behavior were extracted from standardize questionnaire. Data were analyzed using SPSS version 14.0. The aim of this study was to determine the predictors of the seropositive infectivity among repeat blood donors at the NBCKL. The results showed Syphilis accounts for the highest and increasing seroconversion rate among other infections from 20.83 % in year 2004 to 44.6 % in year in year 2008. HIV and HCV infection also showed increasing seroconversion rate in 5 years' time from 6.41 % in year 2004 to 17.54 % in year 2008 and 4.8 % in year 2004 to 5.94 % in year 2008 respectively. However, HBV infection alone showed a decreasing seroconversion rate from 20.83 % in year 2004 to 10.4 % in year 2008. Level of donors' awareness regarding high risk factors (activities or behaviour) can lead to higher risk of TTI with significant p value in this predictors model(p 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.