| Literature DB >> 26303806 |
Steve Kleinman1, Adonis Stassinopoulos2.
Abstract
BACKGROUND: Red blood cell (RBC) transfusion risks could be reduced if a robust technology for pathogen inactivation of RBC (PI-RBCs) were to be approved.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26303806 PMCID: PMC7169855 DOI: 10.1111/trf.13259
Source DB: PubMed Journal: Transfusion ISSN: 0041-1132 Impact factor: 3.157
Figure 1Quantitating transfusion risk over time. In the absence of additional interventions, known per‐unit infectious risks are consistent over time. These risks change when an EIA enters the blood supply. The figure indicates two types of EIAs: an acute agent and a chronic agent.* A past example of an acute EIA is West Nile virus and a past example of a chronic EIA is HIV. In contrast to known agents, EIA risks will vary over time. The intervals between an acute or chronic EIA entering the blood supply and the application of a successful intervention for that agent have been estimated as 1.5 and 5 years, respectively. After recognition of the EIA and development of a screening test, the risk from that agent will be decreased but a small residual risk will remain, thereby slightly increasing the overall per‐unit risk above the previous level. This is indicated (though not to scale) by the stepwise increase in the horizontal line. *An acute agent is present only transiently (usually days to weeks) until the donor resolves the viremia or parasitemia. In contrast, the donor retains the chronic agent in their blood for many years (perhaps an entire lifetime) while remaining asymptomatic and capable of blood donation.
Patients receiving RBC transfusions get exposed to different numbers of RBC units with different time frames of exposurea
| RBC transfusion category | Diagnosis or procedure | Number of transfusion episodes | Total RBC unit exposure | Immune suppressed | Use of irradiated blood |
|---|---|---|---|---|---|
| Acute | Cardiac surgery | Single | 3 | No | No |
| Acute | Trauma | Single | 5 | Suppressed cell immunity | No |
| Intermittent | ICU9 | Variable | 3.5 | No | No |
| Intermittent | Cardiovascular disease | Variable | 3 | No | No |
| Sustained over limited time frame | HSCT11,
| Multiple | 10‐20 (3‐6 months) | Yes | Yes |
| Chronic but time‐limited | MDS13 | Multiple |
13/year (3 years) | Immunosuppressed in many cases | No |
| Chronic, lifelong |
SCD14 Thalassemia | Multiple | 24 |
Asplenic No | No |
These data are taken from representative publications for each RBC transfusion category and may not be fully reflective of all practice patterns. Depending on how the data were presented in the cited publication(s), they are expressed as a median, mean, or range thereof.
The data include only the patients who received transfusions.
Median.
Not routinely; may be irradiated if hospital‐wide policies for hematology‐oncology patients or for pediatric patients require.
Per unit risk in transfused RBC under current donor testing protocols in the United States
| Pathogen | Risk | Method of estimation |
|---|---|---|
| Higher‐risk pathogens | ||
|
|
0.076% (1 in 1316) | Antibody and PCR data in endemic areas |
| CMV1,
|
0.1% (1 in 1000) | Detection of infection in transfused recipients and PCR data in donors |
| EIA | ||
| Acute‐type agent |
0.025% (1 in 4000) | Mathematical modeling |
| Chronic‐type agent |
0.045% (1 in 2222) | Mathematical modeling |
| Lower‐risk pathogens | ||
|
| Rare | Clinical case reporting (<1 TT case per year in United States) |
| Bacteria |
0.00005% (1 in 2 million) Clinical Sepsis |
Based on French and German Data No documented clinical cases in the United States in past 5 years; May be more common for subclinical cases |
|
| Rare |
Clinical case reporting (<1 TT case per year in United States); May be more common for subclinical cases |
| HIV63 |
0.00007% (1 in 1.5 million) | Mathematical modeling |
| HCV63 |
0.00009% (1 in 1.1 million) | Mathematical modeling |
| HBV64 |
0.0001% (1 in 1 million) | Mathematical modeling |
| WNV65 | Rare | Clinical case reporting (<1 TT case per year in United States) |
Rare in nonendemic areas.
Assumes that all PCR‐positive donations, regardless of antibody status, would be infectious.
Using data from previously detected EIAs.
Using NAT donor screening data and a window period model.
IND = investigational new drug.
Bacterial contamination rates for WB‐derived PC and associated results or disposition of RBC cocomponents
| Period | Country (PC pool size) | Number of pools tested | Bacterial incidence | PLT pools results | RBC cocomponent results or disposition |
|---|---|---|---|---|---|
| 2000‐200833 | France (4/5) | 320,000 | 25 | 6 Gram‐positive/2 Gram‐negative (1 death) | NA |
| 2008‐201138 | United States (2‐6) | 70,867 | 99 | 7 (+) pools by POC test |
1/7 (15%) RBCs (+) (CoNS); Culture‐negative RBCs transfused |
| 2003‐201039 | Wales (4) | 37,594 | 771 | 29 (+) pools (116 units) |
7/105 (7%) RBCs; 7 Gram‐positive |
| 2005‐201040 | Canada (4 [BC]; 5 [PRP]) | 228,142 (BC) (51,151 [PRP]) | 127 176 | 29 BC and 9 PRP culture (+) | NA |
| 200841 | United States (5) | 20,275 | 965 | 20 culture (+) | 130 RBC units retrieved and discarded |
This refers to bacterial contamination and is not a measure of clinical sepsis.
The 130 RBC units were not cultured.
BC = buffy coat; NA = no data reported; PRP = platelet rich plasma.
Figure 2CMV risk: historical data and recent studies. The graph depicts the per‐unit risk as quantified in the different publications. The circles indicate the mean values. Patient studies are grouped above and donor studies are depicted under the x‐axis. The length of the arrows corresponds to the 95% confidence intervals, when reported, or high and low estimates. The overall estimate is depicted with the vertical arrow above the x‐axis and takes into account that only the approximately 50% of patients who are CMV seronegative are at risk for acquiring TT‐CMV.
Calculated and actual prevalence of EIAs
| Prevalence in blood donations (%) | ||
|---|---|---|
| Chronic agent | Acute agent | |
| Model EIA4 (range) | 0.045 (0.01‐0.08) | 0.025 (0.007‐0.075) |
| CHIKV | 0.038‐0.052 (Thailand) | |
| DENV | 0.07 mean; | |
| HEV | 0.01 (US); | |
S.L. Stramer, personal communication, 2015.
Aggregate single‐unit risks in transfused RBC under current donor testing protocols in the United States
| Aggregate risk category | Risk elements | Risk |
|---|---|---|
| Minimum |
• HIV + HCV+ HBV • Bacteria • |
0.00031% (1 in 322,600) |
| Minimum + CMV |
• HIV + HCV+ HBV • Bacteria • CMV risk for immunocompromised patients • |
0.10031% (1 in 996) |
| Maximum |
• HIV + HCV+ HBV • Bacteria • • New chronic EIA |
0.12031% (1 in 831) |
| Maximum CMV |
• HIV + HCV+ HBV • Bacteria • CMV risk for immunocompromised patients • • New chronic EIA |
0.22031% (1 in 454) |
This column contains the components that are then summed together to provide the total risk (shown in the right‐hand column), for each aggregate risk category. The numbers for each risk element are taken from Table 4.
(HSCT patients).
Aggregate lifetime patient risks due to RBC transfusion for different patient categories under current testing algorithms in the United States
| Aggregate risk per patient (%) | |||
|---|---|---|---|
| Diagnosis | RBC unit exposure | Minimum | Maximum |
| Cardiac surgery | 3 | 0.0009 (1/107,000) | 0.36 (1/277) |
| Trauma | 5 | 0.0016 (1/65,000) | 0.60 (1/167) |
| ICU | 3.5 | 0.0011 (1/91,000) | 0.42 (1/238) |
| Cardiovascular disease | 3 | 0.0009 (1/107,000) | 0.36 (1/277) |
| HSCT | 15 | 1.49 (1/67) | 3.25 (1/31) |
| MDS | 39 | 0.012 (1/8,000) | 3.76 (1/27) |
| SCD | 720 | 0.22 (1/450) | 43.17 (1/2) |
| Thalassemia | 750 | 0.23 (1/430) | 45.13 (1/2) |
The method of calculating risk when large numbers of units are transfused as described by Kleinman et al.66
Lifetime risks, except for cardiovascular disease and ICU patient groups. In the latter groups, risk is for a single hospitalization or ICU stay. Lifetime risk would increase for patients transfused on multiple occasions.1 Minimum per‐unit risk is 0.00031% for all patient groups except for HSCT patients, where minimum risk is 0.10031% based on potential sequelae from TT‐CMV infection.2 Maximum per‐unit risk is 0.12031% for the first four patient groups and 0.22031% for HSCT patients. For patients with MDS, SCD, and thalassemia, risk is 0.12031% for a 1.5‐year period (when a new acute EIA is in the blood supply) and 0.07631% (due to Babesia) when transfused during other time intervals.
Figure 3Conceptual approaches for PI of blood products.
Figure 4Comparison of systems for PI of RBCs and WB.104, 105
Compilation of published PI data in RBCs for S‐303 and GSH and in WB by riboflavin and UV
| Mean log reduction | |||
|---|---|---|---|
| Pathogen | S‐303 and GSH | Riboflavin and UV (@ 80 J/mLRBC) | |
| Viruses | |||
| HIV ‐ cell free | >6.5 | ||
| HIV‐ cell associated | >5.9 | 4.5 | |
| BVDV (surrogate for HCV) | >4.8 | ||
| DHBV (surrogate for HBV) | >5.1 | 6.3 | |
| CMV model viruses | |||
| HSV | >6.0 | ||
| IBR | 1.5 | ||
| VSV | 5.7 | 4.5 | |
| Bluetongue | ≥6.0 | >5 | 1 |
| Adeno Type 5 | >7.4 | ||
| WNV | >6.0 | ||
| SARS | >6.5 | ||
| CPV | 3.8 | ||
| HAV | 1.5 | ||
| Parasites | |||
|
| >5.5 | >4.9 | >4.73 |
|
| >6.8 | >6.4 | |
|
| >5.4 | >5.3 | >3.5 |
|
| 2.3 | ||
| Bacteria | |||
|
| ≥ 6.8 | 7.4 | 2 |
|
| 5.1 | 4.1 | |
|
| 2 | ||
|
| 4.5 | ||
|
| ≥6.7 | 7.4 | |
|
| 5.1 | >5.1 | |
|
| >6.9 | ||
|
| >7.1 | ||
| WBCs | >5 | 4.7 | |
Inactivation achieved with first‐generation system (0.2/2 mmol/L GSH).
These data are from low‐titer experiments and inactivation of higher bacterial titers was not evaluated.
CPV = canine parvovirus; DHBV = duck hepatitis virus; HSV = herpes simplex virus; IBR = infectious bovine rhinotracheitis virus; SARS = severe acute respiratory syndrome; VSV = vesicular stomatitis virus.
Clinical experience
| Study | Number | Description | Endpoints | Results |
|---|---|---|---|---|
|
| ||||
| First generation | ||||
| US Phase III chronic study | 50 | Transfusion‐dependent SCD patients; two‐arm double‐blinded crossover design | Blood utilization | Terminated |
| US Phase III acute study | 148 | CV surgery patients | Composite endpoint of MI, renal failure, and mortality | Met primary endpoint, early termination |
| Second generation | ||||
| US Phase II study | 27 | Healthy volunteers; crossover design | 24‐hour recovery: 88.0 ± 8.5 days (T) vs. 90.1 ± 6.9 (C) | Met primary endpoint, completed |
| EU Phase III acute study | 50 | CV surgery patients; two‐arm design |
Primary efficacy: mean Hb content per RBC component Primary safety: adverse events over 90 days (related and unrelated to study RBC components) compared between the treatment groups | Met primary endpoint with similar AE profile between arms |
| EU Phase III chronic study | 70 | Transfusion‐dependent thalassemia Major patients; crossover design |
Primary efficacy: Hb consumption (g Hb/kg body weight/day). Primary safety: incidence of a treatment‐emergent antibody with confirmed specificity to S‐303 RBCs over 12 months | In progress |
|
| ||||
| US Phase II Study–IMPROVE |
12 (4/4/3) |
Feasibility trial to evaluate recovery and survival in RBCs obtained from WB units treated with the Mirasol system. Three study arms each using a different UV dose (22, 33, and 44 J/mLRBC) |
Primary: 24‐hr posttransfusion RBC recovery Secondary: RBC survival; SAE |
Terminated
22‐J dose: 1 of 4 33‐J dose: 1 of 4 44‐J dose: 1 of 3
22‐J dose: 2 of 4 33‐J dose: 2 of 4 44‐J dose: 0 of 4 |
| US Phase II study–IMPROVE II | 29 | To evaluate, as per FDA criteria, the 24‐hr posttransfusion RBC recovery in healthy adult subjects of LR‐RBCs, derived from Mirasol‐treated fresh WB units, and stored refrigerated for 21 days. |
Primary: 24‐hr posttransfusion RBC recovery Secondary: RBC survival, AUC; SAE; neoantigenicity |
Completed Data not yet reported |
| Ghana Phase‐III Study–AIMS | 250 | Treatment of WB with the Mirasol system: prevention of Malaria caused by transfusion |
Primary: TT malaria Secondary: TT bacterial infections | Completed |
AUC = area under curve; CV = cardiovascular; MI = myocardial infarction; SAE = severe adverse event.