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Background: Although recent randomized controlled trials have not found increased risk of morbidity/mortality with older red blood cells (RBCs), several large trials will be completed soon providing power to detect smaller risks if indeed they exist. Hence, there may still be a need for inventory management policies that could reduce the age of transfused RBCs without compromising availability or resulting in excessive outdates., Materials and Methods: We developed a computer simulation model based on data from an acute care hospital in Hamilton, Ontario. We evaluated and compared the performance of certain practical ordering and allocation policies in terms of outdate rate, shortage rate and the distribution of the age of issued RBCs., Results: During the 1-year period for which we analysed the data, 10349 RBC units were transfused with an average issue age of 20·7 days and six units were outdated (outdate rate: 0·06%). Adopting a strict first in, first out (FIFO) allocation policy and an order-up-to ordering policy with target levels set to five times the estimated daily demand for each blood type, reduced the average issue age by 29·4% (to 14·6 days), without an increase in the outdate rate (0·05%) or resulting in any unmet demand. Further reduction of issue age without a significant increase in outdate rate was observed when adopting non-FIFO threshold-based allocation policies and appropriately adjusting the order-up-to levels., Conclusion: A significant reduction of issue age could be possible, without compromising availability or resulting in excessive outdates, by properly adjusting the ordering and allocation policies at the hospital level., (© 2016 International Society of Blood Transfusion.)

Background Among transfused patients, the effect of the duration of red blood cell storage on mortality remains unclear. This study aims to compare the mortality of patients who were transfused with fresher versus older red blood cells. Methods We performed an updated systematic search in the CENTRAL, MEDLINE, EMBASE and CINAHL databases, from January 2015 to October 2016. RCTs of hospitalized patients of any age comparing transfusion of fresher versus older red blood cells were eligible. We used a random-effects model to calculate pooled risk ratios ( RRs) with corresponding 95% confidence interval ( CI). Results We identified 14 randomized trials that enrolled 26 374 participants. All-cause mortality occurred in 1219 of 9531 (12·8%) patients who received a transfusion of fresher red blood cells and 1810 of 16 843 (10·7%) in those who received older red blood cells ( RR: 1·04, 95% CI: 0·98-1·12, P = 0·90, I2 = 0%, high certainty for ruling out benefit of fresh blood, moderate certainty for ruling out harm of fresh blood). In six studies, in-hospital death occurred in 691 of 7479 (9·2%) patients receiving fresher red cells and 1291 of 14 757 (8·8%) receiving older red cells ( RR: 1·06, 95% CI: 0·97-1·15, P = 0·81, I2 = 0%, high certainty for ruling out benefit of fresh blood, moderate certainty for ruling out harm of fresh blood). Conclusion Transfusion of fresher red blood cells does not reduce overall or in-hospital mortality when compared with older red blood cells. Our results support the practice of transfusing patients with the oldest red blood cells available in the blood bank. [ABSTRACT FROM AUTHOR]

Background and Objectives Obtaining accurate and precise platelet enumeration in automatic platelet analysers at low platelet counts is a challenge. To explore the performance of current haematology analysers in counting platelet concentrations usually used as platelet transfusion threshold. Material and Methods An international exercise where four blood samples with platelet levels near usual platelet transfusion thresholds was prepared and distributed. Results The samples shipped had a platelet count of 6·3, 13·3, 21·6 and 53·0 × 109/l according to the international reference method. We received 82 sets of results from nine countries. Instruments from six different manufacturers were represented. Although the mean count for each of the four samples was very similar to the values, according to the reference method (9·0, 16·2, 23·0 and 57·6 × 109/l), significant variability in the results was found. Assuming that these were patient samples and the result of the count used to indicate a prophylactic platelet transfusion, undertransfusion would have occurred for 24·5% of the LP1 samples at a transfusion threshold of 10 × 109/l and, at a threshold of 20 × 109/l, undertransfusion would have occurred for 7·2% of the LP1 and 16·2% of the LP2 samples and overtransfusion would have occurred with 23·1% of the LP3 samples. Conclusion The results suggest that significant inaccuracy exists in counting low levels of platelets and that this inaccuracy might have a significant impact in under- and overtransfusion of platelet concentrates to patients. [ABSTRACT FROM AUTHOR]

Benchmarking is 'a structured, continuous, collaborative process in which comparisons for selected indicators are used to identify factors which when implemented will improve transfusion practices'. In the Transfusion Medicine literature, there are only a few published articles that meet the criteria for benchmarking: (1) using comparisons between institutions to identify practice variation; (2) using a communication and/or evaluation process to identify factors associated with best practices; (3) introduce best practice factors into one's own setting; and (4) re-evaluate performance. Three models for benchmarking have been proposed: (1) a regional benchmarking programme that collects and links relevant data from existing electronic sources; (2) a sentinel site model where data from a limited number of sites are collected; and (3) an institutional-initiated model where a site identifies indicators of interest and approach other institutions as comparators. Finland has the most well-developed benchmarking model where hospital data are collected electronically from multiple sources and analysed centrally with web-based reports available for participants. Areas of practice variation are explored in annual benchmarking workshops, interventions are identified and implemented, and the impact of the interventions are evaluated at a later date. A provincial model used in Canada will also be described showing the impact on red cell outdating when hospitals were challenged to meet evidence based targets. Limitations of benchmarking and future research will be discussed. [ABSTRACT FROM AUTHOR]