| Literature DB >> 35379302 |
Ronnie Kasirye1, Heather A Hume2, Evan M Bloch3, Irene Lubega1, Dorothy Kyeyune4, Ruchee Shrestha3, Henry Ddungu5, Hellen Wambongo Musana1, Aggrey Dhabangi6, Joseph Ouma1, Priscilla Eroju1, Telsa de Lange7, Michael Tartakovsky7, Jodie L White3, Ceasar Kakura1, Mary Glenn Fowler3, Philippa Musoke8, Monica Nolan1, M Kate Grabowski3, Lawrence H Moulton9, Susan L Stramer10, Denise Whitby11, Peter A Zimmerman12, Deo Wabwire1, Isaac Kajja13, Jeffrey McCullough14, Raymond Goodrich15, Thomas C Quinn3,9,16, Robert Cortes17, Paul M Ness3, Aaron A R Tobian18,19.
Abstract
BACKGROUND: Transfusion-transmitted infections (TTIs) are a global health challenge. One new approach to reduce TTIs is the use of pathogen reduction technology (PRT). In vitro, Mirasol PRT reduces the infectious load in whole blood (WB) by at least 99%. However, there are limited in vivo data on the safety and efficacy of Mirasol PRT. The objective of the Mirasol Evaluation of Reduction in Infections Trial (MERIT) is to investigate whether Mirasol PRT of WB can prevent seven targeted TTIs (malaria, bacteria, human immunodeficiency virus, hepatitis B virus, hepatitis C virus, hepatitis E virus, and human herpesvirus 8).Entities:
Keywords: Mirasol; Pathogen reduction; Randomized controlled trial; Sub-Saharan Africa; Transfusion-transmitted infections; Uganda
Mesh:
Year: 2022 PMID: 35379302 PMCID: PMC8978156 DOI: 10.1186/s13063-022-06137-8
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Fig. 1Schedule of enrolment, intervention, and assessments
Fig. 2Donor blood and recipient evaluation
Transfusion-transmitted infections in Uganda among blood donors. The table provides the prevalence of TTIs contributing to our primary endpoint in donated blood, sensitivity of screening methods (when used in Uganda), risk of a TTI given exposure to infected blood (i.e., infectivity), and the expected number of infections per 1000 transfused participants
| Agent | Donor prevalence (%) | Screening method sensitivity (%) | Infectious units/1000 units of blood | Infectivity (%) | Expected number of infections/1000 transfused individuals+ |
|---|---|---|---|---|---|
| HIV# | 0.71 | 98 | 0.14 | 100 | 0.2 |
| HBV# | 2.41 | 98 | 0.48 | 75 | 0.5 |
| HCV# | 1.76 | 98 | 0.35 | 74 | 0.4 |
| HEV* | 0.6 | No screening | 6 | 75 | 6.8 |
| HHV-8^ | 36.0 | No screening | 360 | 2.3 | 12.4 |
| Malaria∞ | 5.0 | No screening | 50 | 20 | 15.0 |
| Bacteria≡ | 1.5 | No screening | 15 | 50 | 11.3 |
#Seroprevalence data from Uganda Blood Transfusion Service in Kampala, Uganda, between April and June 2017
*HEV seroprevalence in Uganda is 47% [38]. However, RNA positivity with acute infection is ~ 0.6% [6]. Acute infection is most common among individuals in late adolescence, the primary blood donor age [39]
^HHV-8 seroprevalence in Uganda among late adolescence (primary blood donor age) is 36% [40]. The prevalence among recipients is ~ 50% [5]. There is an excess risk of HHV-8 seroconversion of 2.3% when transfused HHV-8 positive blood [5]
∞Malaria donor prevalence of 5% is a conservative estimate from data in Uganda [41]
≡Bacterial contamination prevalence derived from previous [42] and ongoing studies in Uganda of blood donors
+Expected number of infections in a population with no prior immunity
Fig. 3Study power based on Mirasol efficacy and cumulative TTI incidence