Application of unsupervised machine learning to identify areas of blood product wastage in transfusion medicine.

BACKGROUND: Wastage of blood products can be a significant cost to blood banks. However, the cause of wastage is often complex and makes it difficult to determine wastage-associated factors. Machine learning techniques may be useful tools to investigate these complex associations. We investigated whether unsupervised machine learning can identify patterns associated with wastage in our blood bank. MATERIALS AND METHODS: Data on red blood cells, platelets and frozen products were obtained from the laboratory information system of the Central Zone Blood Transfusion Services at Nova Scotia Health Authority. A total of 879 532 transactions were analysed by association rule mining, a type of machine learning algorithm. Associations with lift scores greater than 25 and with clinical relevance were flagged for further examination. RESULTS: Association rule mining returned a total of 3355 associations related to wastage. Several notable associations were identified. For example, certain wards were associated with wastage due to thawing unused frozen products. Other examples included association between smaller blood banks and evening work shifts with product wastage due to excess time outside the laboratory or returning products with high temperatures. CONCLUSION: This paper demonstrates the effective use of unsupervised machine learning for the purpose of investigating wastage in a large blood bank. The use of association rule mining was able to identify wastage factors, which can help guide quality improvement initiatives. This technique can be automated to provide rapid analysis of complex associations contributing to wastage and could be utilized in modern blood banks.

Blood product wastage reduction by utilising low-cost, low-impact multimodal physician-to-physician communication initiatives.

OBJECTIVES: To assess a multimodal physician-to-physician communication initiative that is low in cost and impact to daily workflow to reduce blood product wastage. BACKGROUND: Blood product stewardship is an important issue in all hospital systems. Previous studies have proposed low-cost interventions to reduce blood product wastage, but few have evaluated improvements in communication between the blood bank and providers. We undertook a prospective quality improvement project focusing on improving communication to reduce blood product wastage. METHODS: We conducted a prospective quality improvement project over the first quarter of 2017, identifying patients with issued but unused blood products. Each service overseeing the care of patients identified on the unit status report was contacted through two possible methods: (i) phone or (ii) proprietary Health Insurance Portability and Accountability Act of 1996 compliant digital messaging application. Collected variables included reserved blood product type and participant time spent. Outcomes included the rate of blood product release and changes in wastage compared with historical data tracked by the blood bank. RESULTS: Eight hundred and forty products were reserved during the study period, of which 436 (52%) were released. Average participant times ranged from 2 ± 1 min to 15 ± 4 min with no significant differences in time spent between participants (P = 0·194). Compared with the average product wastage 10 months prior to project initiation, there were significant reductions in the average wastage for platelets (5·3 ± 2·5 units vs 2·5 ± 1·5 units, P = 0·05), RBCs (6·1 ± 3·7 units vs 0 ± 0 units, P = 0·01) and overall wastage (58·3 ± 14·9 units vs 40 ± 15·7 units, P = 0·05). CONCLUSION: Efforts focusing on improving provider-to-provider communication can reduce blood product wastage.

Blood usage and wastage at an academic teaching hospital before the initial wave of COVID-19 and during and after its quarantine periods.

BACKGROUND: Transfusion services aim to maintain sufficient blood inventory to support patients, even with challenges introduced by COVID-19. OBJECTIVES: To review blood usage and wastage before, during, and after COVID-19 surges, and to evaluate effects on inventory. METHODS: In a retrospective review, we evaluated the association between time periods corresponding to the initial wave of COVID-19 (pre-COVID-19, quarantine, and postquarantine) and blood usage/wastage. Data were stratified by period, and χ2 testing was used to examine the association between these time periods and blood usage/wastage. RESULTS: In the period before COVID-19, the transfusion service used more units, and in the period after quarantine, more units went to waste. Across all time periods, the most-used product was RBCs, and the most wasted product was plasma. A statistically significant association existed between usage (χ2 [6/3209 (0.2%)]) = 24.534; P ≤.001; Cramer V = 0.62), wastage (χ2 [6/775 (0.8%)]) = 21.673; P = .001; Cramer V = 0.118), and time period. The postquarantine period displayed the highest wastage costs ($51,032.35), compared with the pre-COVID-19 period ($29,734.45). CONCLUSION: Changes in blood inventory use and waste are significantly associated with the onset and continuation of COVID-19.

Real-world study of rurioctocog alfa pegol and emicizumab in US clinical practice among patients with hemophilia A.

BACKGROUND: FVIII replacement is standard treatment for hemophilia A without inhibitors, but non-factor therapies, such as emicizumab, are changing the treatment landscape. We explore the ramifications of switching treatment. METHODS: Pharmacy database data (July 2017-May 2020) from patients with hemophilia A without inhibitors who switched to rurioctocog alfa pegol or emicizumab prophylaxis after ≥6 months' prophylaxis with another FVIII product were analyzed for total mean weekly consumption, dosing frequency, product wastage, and ABR. RESULTS: Post-switch mean weekly consumption of prophylactic rurioctocog alfa pegol and emicizumab were 6224 IU/kg and 109 mg, respectively. Dosing schedules for emicizumab were primarily weekly (48.2%) and every 2 weeks (40.0%). Most patients in the rurioctocog alfa pegol cohort received treatment twice-weekly (83.3%). Mean product wastage of emicizumab (8.4%) was significantly higher versus rurioctocog alfa pegol (-0.3%; P < 0.001). Mean annualized emicizumab and rurioctocog alfa pegol wastage during prophylaxis was 330.82 mg and -974.80 IU, respectively. ABR change was not significantly different (P = 0.527) for patients switching to emicizumab (-1.05) or rurioctocog alfa pegol (-1.53). CONCLUSIONS: Bleed rates were similar for patients receiving prophylaxis with emicizumab or rurioctocog alfa pegol after switching from prophylaxis with another FVIII. However, wastage associated with dispensing inaccuracies was greater with emicizumab.

Implementation and evaluation of a major haemorrhage protocol in the Emergency Department Resuscitation Area in the University-affiliated Hospital of Brest (France).

Haemorrhagic shock is a rare occurrence in emergency medicine but it can be associated with significant mortality. The purpose of this study was to evaluate the impact of a major haemorrhage protocol on patient management in Emergency Department Resuscitation Area. METHODS: A single-centre study was conducted to compare two periods, before and after institution of a massive haemorrhage protocol including the use of massive transfusion orders and the availability of packed red blood cell concentrates prior to patient's admission. Two groups of patients (in both trauma and non-trauma settings) were defined: "before protocol" and "after protocol". The primary outcome was the median transfusion time for a unit of red blood cell concentrate. RESULTS: Forty patients were included: 22 for the "pre-protocol" group and 18 for the "post-protocol" group. The two groups were balanced with baseline characteristics. This study showed a significantly reduced median transfusion time for a unit of red blood cell concentrate from 20min pre-protocol to 9min post-protocol. The time between patient's admission and transfusion of the first red blood cell concentrate was reduced but non-significantly from 71min to 36min. CONCLUSION: The major haemorrhage protocol optimised patient management by reducing the median transfusion time for red blood cell concentrates.