Whole Blood Donor Iron Management Across Europe: Experiences and Challenges in Four Blood Establishments.

Whole blood donors lose iron while donating and frequent blood donation is therefore known to induce a risk of iron deficiency and/or anemia. In this review we present, compare and discuss the pros and cons of 4 distinctive donor iron management strategies in England, Finland, the Netherlands, and Denmark. Donor iron management policies in the countries concerned are described for the year 2021, and data on donor and donation numbers, low hemoglobin (Hb) deferral rates and Hb levels are presented. In England Hb levels were only measured in donors failing a copper sulphate test, while in the other 3 countries Hb is measured at every donation. In Finland, donors considered at risk of iron deficiency receive iron supplements, while in the Netherlands, ferritin-guided donation intervals without iron supplementation are in place. In Denmark, iron supplementation is provided to donors with low ferritin levels. Low-Hb deferral rates and average Hb levels are quite similar across the included countries, with the exception of higher deferral rates in England. To conclude, despite significant diversity in donor iron management approaches, low Hb deferral rates and average Hb levels are similar among the included countries except for England, where higher deferral rates were observed that are likely attributed to the absence of iron supplementation or ferritin-guided deferral. Achieving an optimal, more tailored iron management strategy requires further research and a nuanced understanding of both donor demographics and physiological responses to optimize the effectiveness and safety of blood donation practices.

Iron deficiency-related symptoms in non-anemic whole blood donors.

INTRODUCTION: Whole blood donors are at increased risk for iron deficiency (ID). ID anemia is associated with several symptoms, such as fatigue, cognitive dysfunction, pica, and restless leg syndrome (RLS). However, it is unclear if these symptoms also occur when a donor has developed ID without anemia. This study aims to determine whether non-anemic ID (NAID) is associated with the occurrence of ID-related symptoms. STUDY DESIGNS AND METHODS: We combined data from three studies in whole blood donors (i.e., Donor Insight-III, FIND'EM, and FORTE) to create a substantial sample size (N = 12,143). The self-reported occurrence and severity of ID-related symptoms, such as physical and mental health, fatigue, cognitive functioning, pica, and RLS, was measured using validated questionnaires. Associations were studied using logistic regression modeling with ID-related symptoms derived from the questionnaires as the dependent variable and ferritin level group (0-15 µg/L, 15-30 µg/L, and >30 µg/L) as explanatory variable. RESULTS: After applying inclusion and exclusion criteria, 9829 donors were eligible for analysis. In the models corrected for age, body mass index, Hb level, and cohort, only fatigue was shown to be associated with ferritin levels in men, showing lower odds (OR 1.41, 95% CI 1.11-1.79) for fatigue with higher ferritin levels. CONCLUSION: In these studies, NAID was only associated with self-reported fatigue in male donors. Although selection bias may have led to underestimated associations, ferritin measurements in donors should be primarily considered as a measure to prevent anemia, rather than to prevent or mitigate NAID-related symptoms.

Menstrual blood loss is an independent determinant of hemoglobin and ferritin levels in premenopausal blood donors.

INTRODUCTION: To prevent blood donors from developing iron deficiency (ferritin <15 µg/L) and subsequent anemia (hemoglobin <120 g/L), blood services rely on information about known risk factors, including the donor's sex and age. For example, while Finnish women are able to donate whole blood with a minimum donation interval of 91 days, women in the 18 to 25-year-old age group are recommended to donate no more than once per year. Menstrual blood loss is not accounted for in blood donation interval recommendations, despite being a known risk factor of iron deficiency. We aim to investigate to what extent menstrual bleeding is associated with ferritin and hemoglobin levels in female blood donors, and quantify the association of other menstruation-related variables not currently accounted for by blood services (i.e., use of hormonal contraception, heavy menstrual bleeding) with iron deficiency or anemia. MATERIAL AND METHODS: The study population consisted of 473 premenopausal and 491 postmenopausal Dutch whole blood donors. Exclusion criteria were current pregnancy, BMI ≥50, ferritin ≥200, pictorial blood assessment chart (PBAC) ≥400, and age <18 or ≥70 years. Menstrual blood loss was quantified using a PBAC, a semiquantitative method to evaluate the number of used menstrual products and the degree of staining. We identified predictors of log(ferritin)/hemoglobin and iron deficiency/anemia using Bayesian linear and logistic regression models and quantified the average percentage of variance in log(ferritin) and hemoglobin explained by the covariates. RESULTS: Menstrual blood loss accounted for most of the explained variance in hemoglobin (8%) and second only to the number of days since last donation for ferritin (8%). Heavy menstrual bleeding (PBAC ≥150, OR = 3.56 [1.45-8.85], prevalence 13%) was associated with anemia, and use of levonorgestrel-releasing intrauterine device was negatively associated with iron deficiency (OR = 0.06 [0.01-0.44]). After statistical control for menstrual blood loss, age was not associated with iron status. CONCLUSIONS: Menstrual blood loss and blood donation were the most important determinants of iron status in premenopausal women. Thus, results suggest that accounting for menstrual blood loss in donation interval guidelines may benefit blood donors.

Predicting haemoglobin deferral using machine learning models: Can we use the same prediction model across countries?

BACKGROUND AND OBJECTIVES: Personalized donation strategies based on haemoglobin (Hb) prediction models may reduce Hb deferrals and hence costs of donation, meanwhile improving commitment of donors. We previously found that prediction models perform better in validation data with a high Hb deferral rate. We therefore investigate how Hb deferral prediction models perform when exchanged with other blood establishments. MATERIALS AND METHODS: Donation data from the past 5 years from random samples of 10,000 donors from Australia, Belgium, Finland, the Netherlands and South Africa were used to fit random forest models for Hb deferral prediction. Trained models were exchanged between blood establishments. Model performance was evaluated using the area under the precision-recall curve (AUPR). Variable importance was assessed using SHapley Additive exPlanations (SHAP) values. RESULTS: Across the validation datasets and exchanged models, the AUPR ranged from 0.05 to 0.43. Exchanged models performed similarly within validation datasets, irrespective of the origin of the training data. Apart from subtle differences, the importance of most predictor variables was similar in all trained models. CONCLUSION: Our results suggest that Hb deferral prediction models trained in different blood establishments perform similarly within different validation datasets, regardless of the deferral rate of their training data. Models learn similar associations in different blood establishments.

The effect of donation frequency on donor health in blood donors donating plasma by plasmapheresis: study protocol for a randomized controlled trial.

BACKGROUND: The demand for plasma products is growing, necessitating an increase in plasma collection by plasmapheresis. While the 20th edition of the European Guidelines permits plasma donors in Europe to donate with 96-h donation intervals, the potential short- and long-term consequences of high-frequency plasma donations on donor health remain unknown. This study aims to measure the effect of plasma donation frequency on plasma protein composition, including total serum protein (TSP) and immunoglobulin G (IgG), in Norwegian male blood donors. METHODS: This randomized controlled trial (RCT) included 120 male blood donors who were randomized into two intervention groups and one control group: high-frequency plasma donors (HFPDs) who donated 650 mL of plasma 3 times every 2 weeks, whereas regular-frequency plasma donors (RFPDs) who donated 650 mL of plasma 1 time every 2 weeks. The control group consisted of whole blood donors. The primary outcomes are the concentrations of TSP and IgG. DISCUSSION: The findings from this study may have implications for recommendations related to donor health and plasma donation frequencies and may contribute to supporting the strategic independence of plasma products in Norway and Europe without compromising donor health. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05179200 . Registered December 20th, 2021.

Effects of donation frequency on U.S. source plasma donor health.

BACKGROUND: Plasma-derived medicinal products (PDMPs) are essential, life-saving medicines manufactured from plasma donated by healthy human volunteers. PDMPs are used to treat a range of rare, serious, and chronic conditions, often genetic in origin. Approximately 70% of the Source Plasma (SP) used for PDMP manufacturing comes from United States (US). The hypothesis of the study is that US donation frequency does not impair donor self-reported functional health and well-being. STUDY DESIGN AND METHODS: A total of 5608 SP donors from 14 US SP centers were enrolled in a cross-sectional study to assess self-reported health related quality of life (HRQoL) and well-being. By sex, donors were assigned to one of four groups, according to their frequency of SP donation in the 12 months before enrollment. The SF-36v2® Health Survey (SF-36v2) and a survey assessing the frequency of various health conditions that may be associated with impaired immune function over different time periods were used. RESULTS: There were no statistically significant differences in SF-36v2 scores between any of the donor frequency groups, compared with new donors after controlling for potential confounding and accounting for multiple comparisons among males and females. Cough, cold, occasional fatigue, and sore throat were the most reported health conditions or symptoms, but there was no clear difference among sex or frequency groups. DISCUSSION: The self-reported data in this study support the hypothesis that compensated donations at US FDA permitted frequencies and volumes are consistent with maintaining donor health. Compared with the general population, SP donors have comparable or better health than the general population.

Simulated effects of ferritin screening on C-reactive protein levels in recruited blood donors.

BACKGROUND AND OBJECTIVES: Ferritin is commonly measured to evaluate iron stores in the body. Some countries have added or considered adding ferritin lower bounds to donor eligibility criteria. Ferritin is also elevated by inflammation. The main goal of this study is to estimate how different ferritin cut-offs would affect the proportion of donors with a C-reactive protein (CRP) level over 3 mg/L, which is the decision limit of the highest chronic cardiovascular risk. MATERIALS AND METHODS: To simulate recruitment of new blood donors, we selected participants from two Finnish general population cohorts, namely FINRISK 1997 (n = 5369) and Health 2000 (n = 3278), that would likely fulfil the selection criteria of blood donation. We then calculated the proportion of individuals with high-sensitivity CRP values above 3 mg/L, over a range of ferritin values. RESULTS: We found that for several ferritin cut-offs the proportion of potential donors with CRP > 3 mg/L would rise by a statistically significant amount. The trend was significant and similar for all subgroups but weaker for non-menstruating women as well as men. CONCLUSION: Our results show that screening a population of potential blood donors with ferritin cut-offs raises the number of people with CRP > 3 mg/L within the blood donor population.

Development and validation of a nomogram for predicting the risk of vasovagal reactions after plasma donation.

BACKGROUND AND OBJECTIVES: Vasovagal reactions (VVRs) are the most common adverse reactions and are frequently associated with serious donor adverse events. Even mild VVRs can lead to a significant reduction in the likelihood of subsequent donations. The purpose of this study is to explore the factors related to the occurrence of VVRs after plasma donation and to construct a nomogram to identify individuals at risk for VVRs to improve the safety of plasma donors. MATERIALS AND METHODS: We collected the donation data from July 2019 to June 2020 from a plasma center in Sichuan, China, to explore the independent risk factors for vasovagal reactions. From these data, we constructed and validated a predictive model for vasovagal reactions. RESULTS: VVRs after plasma donation occurred 737 times in 120 448 plasma donations (0.66%). Gender, season, donor status, weight, pulse, duration of donation, and cycle were independent risk factors for VVRs (P< 0.05). The concordance index (C-index) of a logistic model in the derivation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.795. The C-index of a logistic model in the validation cohort was 0.916, with a Hosmer-Lemeshow goodness-of-fit probability of 0.224. The calibration curve showed that the predicted results were in good agreement with the actual observed results. CONCLUSION: This study preliminarily constructed and verified a prediction model for VVRs after plasma donation. The model nomogram is practical and can identify high-risk donors.

First donor haemovigilance system at a national level in China: Establishment and improvement.

BACKGROUND AND OBJECTIVES: No systematic study has measured the incidence of adverse reactions (ARs) to blood donation at the national level in China before 2019. The objective of this study was to establish an effective reporting system to collect information on ARs to blood donation in China. MATERIALS AND METHODS: The status of donor haemovigilance (DHV) in blood collection facilities in China was evaluated, and an online DHV system was established to collect data on ARs to blood donation in July 2019. The definitions of ARs were based on the International Society of Blood Transfusion (ISBT) standards. The prevalence and data quality of ARs from 2019 to 2021 were analysed. RESULTS: A standard online reporting system has been established for ARs to blood donation. In total, 61, 62 and 81 participating sites were included in this pilot study in 2019, 2020 and 2021, respectively. From July 2019 to December 2021, 21,502 cases of whole-blood-related ARs and 1114 cases of apheresis platelet-related ARs were reported, with an incidence of 3.8‰ and 2.2‰, respectively. Data completeness for key reporting elements improved from 41.7% (15/36) in 2019 to 74.4% (29/39) in 2020. Data quality analysis for the year 2021 yielded similar results as for 2020. CONCLUSION: The construction and continuous improvement of the blood donor safety monitoring system prompted the establishment of the DHV system. Improvements have been made to the DHV system in China, with a significant increase in sentinels and higher data quality.

An international comparison of haemoglobin deferral prediction models for blood banking.

BACKGROUND AND OBJECTIVES: Blood banks use a haemoglobin (Hb) threshold before blood donation to minimize donors' risk of anaemia. Hb prediction models may guide decisions on which donors to invite, and should ideally also be generally applicable, thus in different countries and settings. In this paper, we compare the outcome of various prediction models in different settings and highlight differences and similarities. MATERIALS AND METHODS: Donation data of repeat donors from the past 5 years of Australia, Belgium, Finland, the Netherlands and South Africa were used to fit five identical prediction models: logistic regression, random forest, support vector machine, linear mixed model and dynamic linear mixed model. Only donors with five or more donation attempts were included to ensure having informative data from all donors. Analyses were performed for men and women separately and outcomes compared. RESULTS: Within countries and overall, different models perform similarly well. However, there are substantial differences in model performance between countries, and there is a positive association between the deferral rate in a country and the ability to predict donor deferral. Nonetheless, the importance of predictor variables across countries is similar and is highest for the previous Hb level. CONCLUSION: The limited impact of model architecture and country indicates that all models show similar relationships between the predictor variables and donor deferral. Donor deferral is found to be better predictable in countries with high deferral rates. Therefore, such countries may benefit more from deferral prediction models than those with low deferral rates.

Impact of donor ferritin testing on iron deficiency prevention and blood availability in France: A cohort simulation study.

BACKGROUND AND OBJECTIVES: Implementing a ferritin testing policy for whole blood (WB) donors may prevent iron deficiency (ID, ferritin <26 ng/mL) and anaemia, but may induce donation losses. As part of a national prevention plan in France, we aimed to estimate its impact on ID, anaemias and WB donations among donors at high risk of ID. MATERIALS AND METHODS: A micro-simulation model was developed to evaluate different scenarios compared to the current situation without ferritin testing as a reference scenario. The following scenarios were simulated: a minimum scenario with a 6-month deferral for donors with absent iron store (AIS, ferritinemia <15 ng/ml), a main scenario with additional delayed invitations for donors with ferritinemia 15-25 ng/ml and a supplementation scenario with additional iron supplementation for 50% of the donors with AIS. RESULTS: In the main scenario, 52,699 WB donations per year were estimated to be lost after 1 year (-8%), falling to 27,687 (-4.7%) after 5 years. IDs and anaemias were reduced by 13.6% and 29.3%, respectively, after 1 year. The supplementation scenario increased the number of prevented IDs and anaemias to 24.1% and 35.4%, respectively, after 1 year, and halved the number of anaemias at 5 years. The latter scenario also had the least impact on the number of donations (-3.2% after 5 years). CONCLUSION: A ferritin testing policy resulting in delayed donations for ID donors is effective in reducing IDs and anaemias, but significantly impacts the number of donations, thereby posing a self-sufficiency challenge.

A Danish national, multicentre evaluation of the new donor vigilance system among different staff groups.

BACKGROUND AND OBJECTIVES: Two years after implementing a new national donor vigilance system, the Danish Haemovigilance Committee conducted a nationwide survey to evaluate the implementation among different staff groups. We present the results here. MATERIALS AND METHODS: The study was designed as an anonymous online survey to evaluate the satisfaction with the new registration, understanding of the parameters used and the user-friendliness. The REDCap platform was used. The questionnaire consisted of 22 questions. Ordinal variables were answered using five-point Likert scale (1 = strongly disagree to 5 = strongly agree). The data were analysed using descriptive statistics. Successful implementation was defined as mean overall satisfaction ≥4 and mean understanding of the individual components (adverse reaction category, severity and imputability) in the registration ≥4. RESULTS: In all, 104 staff members (77.9% donation staff) participated. The mean (SD) overall satisfaction among all participants was 3.96 (0.94), highest among medical doctors (4.43 (0.78)) and lowest for administrative or other personnel (2.78 (1.09)). The mean scores for understanding the adverse reaction categories, severity and imputability were 3.92 (0.94), 3.92 (0.94) and 3.88 (1.00), respectively. Experience with a previous donor vigilance system was associated with lower scores. The most successful implementation programme included a medical doctor for introduction and a contact person. CONCLUSION: The goal for successful implementation was not met. However, the overall attitude towards the new registration was positive and indicates that the system is suitable for different staff groups. Our results suggest that implementation could benefit from special attention to administrative staff and those accustomed to another donor vigilance system.

The healthy donor effect and survey participation, becoming a donor and donor career.

BACKGROUND: The healthy donor effect (HDE) is a selection bias caused by the health criteria blood donors must meet. It obscures investigations of beneficial/adverse health effects of blood donation and complicates the generalizability of findings from blood donor cohorts. To further characterize the HDE we investigated how self-reported health and lifestyle are associated with becoming a blood donor, lapsing, and donation intensity. Furthermore, we examined differences in mortality based on donor status. STUDY DESIGN AND METHODS: The Danish National Health Survey was linked to the Scandinavian Donations and Transfusions (SCANDAT) database and Danish register data. Logistic- and normal regression was used to compare baseline characteristics and participation. Poisson regression was used to investigate future donation choices. Donation intensity was explored by the Anderson-Gill model and Poisson regression. Mortality was investigated using Poisson regression. RESULTS: Blood donors were more likely to participate in the surveys, OR = 2.45 95% confidence interval (2.40-2.49) than non-donors. Among survey participants, better self-reported health and healthier lifestyle were associated with being or becoming a blood donor, donor retention, and to some extent donation intensity, for example, current smoking conveyed lower likelihood of becoming a donor, OR = 0.70 (0.66-0.75). We observed lower mortality for donors and survey participants, respectively, compared with non-participating non-donors. CONCLUSION: We provide evidence that blood donation is associated with increased likelihood to participate in health surveys, possibly a manifestation of the HDE. Furthermore, becoming a blood donor, donor retention, and donation intensity was associated with better self-reported health and healthier lifestyles.

Explainable haemoglobin deferral predictions using machine learning models: Interpretation and consequences for the blood supply.

BACKGROUND AND OBJECTIVES: Accurate predictions of haemoglobin (Hb) deferral for whole-blood donors could aid blood banks in reducing deferral rates and increasing efficiency and donor motivation. Complex models are needed to make accurate predictions, but predictions must also be explainable. Before the implementation of a prediction model, its impact on the blood supply should be estimated to avoid shortages. MATERIALS AND METHODS: Donation visits between October 2017 and December 2021 were selected from Sanquin's database system. The following variables were available for each visit: donor sex, age, donation start time, month, number of donations in the last 24 months, most recent ferritin level, days since last ferritin measurement, Hb at nth previous visit (n between 1 and 5), days since the nth previous visit. Outcome Hb deferral has two classes: deferred and not deferred. Support vector machines were used as prediction models, and SHapley Additive exPlanations values were used to quantify the contribution of each variable to the model predictions. Performance was assessed using precision and recall. The potential impact on blood supply was estimated by predicting deferral at earlier or later donation dates. RESULTS: We present a model that predicts Hb deferral in an explainable way. If used in practice, 64% of non-deferred donors would be invited on or before their original donation date, while 80% of deferred donors would be invited later. CONCLUSION: By using this model to invite donors, the number of blood bank visits would increase by 15%, while deferral rates would decrease by 60% (currently 3% for women and 1% for men).

COVID-19 vaccine humoral response in frequent platelet donors with plateletpheresis-associated lymphopenia.

BACKGROUND: Plateletpheresis involves platelet separation and collection from whole blood while other blood cells are returned to the donor. Because platelets are replaced faster than red blood cells, as many as 24 donations can be done annually. However, some frequent apheresis platelet donors (>20 donations annually) display severe plateletpheresis-associated lymphopenia; in particular, CD4+ T but not B cell numbers are decreased. COVID-19 vaccination thereby provides a model to assess whether lymphopenic platelet donors present compromised humoral immune responses. STUDY DESIGN AND METHODS: We assessed vaccine responses following 2 doses of COVID-19 vaccination in a cohort of 43 plateletpheresis donors with a range of pre-vaccination CD4+ T cell counts (76-1537 cells/µl). In addition to baseline T cell measurements, antibody binding assays to full-length Spike and the Receptor Binding Domain (RBD) were performed pre- and post-vaccination. Furthermore, pseudo-particle neutralization and antibody-dependent cellular cytotoxicity assays were conducted to measure antibody functionality. RESULTS: Participants were stratified into two groups: <400 CD4/µl (n = 27) and ≥ 400 CD4/µl (n = 16). Following the first dose, 79% seroconverted within the <400 CD4/µl group compared to 87% in the ≥400 CD4/µl group; all donors were seropositive post-second dose with significant increases in antibody levels. Importantly differences in CD4+ T cell levels minimally impacted neutralization, Spike recognition, and IgG Fc-mediated effector functions. DISCUSSION: Overall, our results indicate that lymphopenic plateletpheresis donors do not exhibit significant immune dysfunction; they have retained the T and B cell functionality necessary for potent antibody responses after vaccination.

Timing of hypotensive adverse events in U.S. source plasma donors: Exploratory analysis from the IMPACT trial.

BACKGROUND AND OBJECTIVES: There is less robust data describing adverse events (AEs) in source plasma donors than in whole blood donors, particularly regarding time to AEs (TAEs). We, therefore, sought to characterize TAE and the influence of donor characteristics in a large-scale clinical trial dataset. MATERIALS AND METHODS: TAE was calculated utilizing data from the IMPACT (IMproving PlasmA CollecTion) trial, with linear regression analyses performed to determine the influence of donor parameters on TAE. RESULTS: Linear regression revealed that repeat donors tended to have AEs ~6 min later than naïve donors in the IMPACT trial; however, this was not statistically significant (p = 0.781). Besides this, gender showed greatest difference in TAE; however, no covariates were statistically significant. AE rates were relatively constant throughout the donation process with higher rates beginning 40 min after initiation; no initial peak was observed (first 10-15 min). CONCLUSION: AEs occurred throughout the donation process. None of the analyzed factors could fully explain the difference in the dynamics of AE timing with that of whole blood donation, particularly the missing early peak. Therefore, other factors, e.g., expectation and attitude towards donating plasma and potential events during plasma collection, may explain this difference and should be the focus of future studies.

Balancing non-discriminatory donor selection and blood safety in the Netherlands: Evaluation of an individual risk assessment of sexual behavior.

BACKGROUND: To better balance the safety of the blood supply and the inclusion of men who have sex with men (MSM), further improvements are needed to the risk management strategy employed in the Netherlands to reduce transfusion-transmissible infections (TTIs). A gender-neutral individual risk assessment could provide a solution by determining donor eligibility based on sexual behaviors known to increase the risk of TTIs. Our objective is to estimate the proportion of blood donors that would be deferred by such an assessment, as well as their discomfort answering such questions. STUDY DESIGN AND METHODS: Two surveys were distributed in May 2020 to assess sexual behavior in blood donors in the last 4, 6, and 12 months, as well as their discomfort reporting such information. A combination of both surveys measured the extent to which discomfort was associated with reporting sexual behavior. A high-risk sexual behavior pattern was defined as having had multiple sexual partners and having engaged in anal sex, without consistent condom use. RESULTS: Of all 2177 participating whole blood donors, 0.8% report engaging in high-risk sexual behaviors over the last 4 months and would therefore be ineligible to donate. When accounting for the additional proportion of donors that reported such questions would stop them from donating, 2.0% and 3.2% of female and male donors, respectively, would be lost. DISCUSSION: Gender-neutral eligibility criteria based on high-risk sexual behaviors may reduce the overall number of eligible donors in the Netherlands, but could make blood donation more accessible to a broader group of donors.

Implementation of an Africa-specific donor health questionnaire for human immunodeficiency virus risk screening.

BACKGROUND AND OBJECTIVES: We had previously developed an Africa-specific donor health questionnaire (ASDHQ) based on local risk factors and designed a scoring scheme. This study assessed the performance of a new donor health questionnaire by comparing the human immunodeficiency virus (HIV) status in accepted versus deferred donors by ASDHQ and comparing the rate of risk deferrals with historical data. MATERIALS AND METHODS: Data were collected during a cross-sectional study conducted over 15 months at three referral-hospital-based blood services in Cameroon. ASDHQ was administered to blood donors aged 18-65 years in the same screening conditions as the routine questionnaire. The main outcomes of the study were ASDHQ sensitivity and specificity with regard to HIV laboratory testing as well as donor deferral rates for each of the routine screening algorithms and for ASDHQ. RESULTS: Overall, 71/11,120 (0.6%) were confirmed as HIV positive. The mean ASDHQ score was 95.80 ± 4.4 in HIV-negative donors and 94.80 ± 4.4 in HIV-positive donors (p = 0.05). The optimal cut-off provided by the receiver operating characteristic (ROC) curve for the best performance of ASDHQ was 95.04. Using this optimal cut-off, the ASDHQ sensitivity and specificity were 57% and 53%, respectively (area under curve = 0.58 [0.51, 0.64], p = 0.028). Using ASDHQ, the HIV prevalence was 0.7% in deferred donors and 0.6% in accepted donors. CONCLUSION: ASDHQ might be efficient only in specific conditions that maximize truthful donor responses, requiring each blood service to create an environment of trust and transparency to increase donor compliance and improve the accuracy of the questionnaire.

Impact of disasters on blood donation rates and blood safety: A systematic review and meta-analysis.

BACKGROUND AND OBJECTIVES: Timely and adequate access to safe blood forms an integral part of universal health coverage, but it may be compromised by natural or man-made disasters. This systematic review provides an overview of the best available scientific evidence on the impact of disasters on blood donation rates and safety outcomes. MATERIALS AND METHODS: Five databases (The Cochrane Library, MEDLINE, Embase, Web of Science and CINAHL) were searched until 27 March 2020 for (un)controlled studies investigating the impact of disasters on blood donation rates and/or safety. Risk of bias and overall certainty of the evidence were assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. RESULTS: Eighteen observational studies were identified, providing very low certainty of evidence (due to high risk of bias, inconsistency and/or imprecision) on the impact of natural (12 studies) and man-made/technological (6 studies) disasters. The available evidence did not enable us to form any generalizable conclusions on the impact on blood donation rates. Meta-analyses could not detect any statistically significant changes in transfusion-transmissible infection (TTI) rates [hepatitis B virus (HBV), hepatitis C virus (HCV), human immunodeficiency virus (HIV)-1/2, human T-lymphotropic virus I and II (HTLV-I/II) and syphilis] in donated blood after a disaster, either in first-time or repeat donors, although the evidence is very uncertain. CONCLUSION: The very low certainty of evidence synthetized in this systematic review indicates that it is very uncertain whether there is an association between disaster occurrence and changes in TTI rates in donated blood. The currently available evidence did not allow us to draw generalizable conclusions on the impact of disasters on blood donation rates.

Active seeking of post-donation information to minimize a potential threat to transfusion safety: A pilot programme in the context of the COVID-19 pandemic.

BACKGROUND AND OBJECTIVES: Early in the pandemic, the transmissibility of coronavirus disease-19 (COVID-19) by transfusion was unknown. We piloted a systematic, post-donation outreach programme to contact blood donors and inquired about symptoms post-donation. MATERIALS AND METHODS: Persons who donated on on May 1 and 2, 2020 were contacted 3 days post-donation, by phone to assess COVID-19-related symptoms. Half of the donors were administered a short questionnaire, consisting of only three questions. Others were questioned using a longer, more specific questionnaire. If symptoms were reported, products were quarantined until donors were contacted again by a trained nurse who more thoroughly assessed the likelihood of COVID-19. Blood products were withdrawn if symptoms indicative of COVID-19 were identified. RESULTS: Of 654 donors, 609 (93.1%) were successfully contacted. Of 310 donors who answered the short questionnaire and 299 who answered the long questionnaire, 19 (6.1%) and 8 (2.7%) had one or more symptoms, respectively. Based on the nurses' assessment, two donations (0.3%) had to be withdrawn. CONCLUSION: These results suggest that actively seeking post-donation information might be feasible to mitigate emerging, unqualified transfusion risks.