A contemporary description of patients' estimated blood losses from diagnostic phlebotomy in a census of hospital episodes from a Canadian tertiary care center.

BACKGROUND: Phlebotomy for diagnostic testing is among the commonest hospital procedures, but hospital-wide surveys of all inpatients characterizing blood draw volumes have not been published. The objectives were to characterize the daily blood volumes drawn for diagnostic testing from patients discharged from a Canadian tertiary care center, describe the daily distributions of phlebotomy volumes across service locations, and describe changes in hemoglobin (Hb) and transfusion across service locations. STUDY DESIGN AND METHODS: Data were obtained on all patients discharged between 2012 and 2014 using linked discharge abstract and laboratory data. Cumulative daily blood volume and draw frequency were reported by service and days since admission. Changes in Hb and red blood cell (RBC) transfusion rates were reported for nontransfused and transfused patients. RESULTS: Data were included on 59,715 subjects. Mean daily estimated blood loss varied from 8.5 ± 6.5 mL/day onward to 27.2 ± 20.0 mL/day in the intensive care unit (ICU; p < 0.001). Phlebotomy volumes were highest on the first day of admission and declined thereafter (p < 0.001). For nontransfused individuals in the first week of admission, Hb levels decreased by the highest percentage in the ICU. The rate of RBC unit transfusion was highest in the ICU (232.4 units/1000 patient-days; 95% confidence interval, 225.8-239.2; p < 0.0001 compared with all other locations). CONCLUSION: Considerable variation was observed in estimated blood loss due to diagnostic phlebotomy across different services within one teaching hospital. Thi information is foundational for planning interventions to minimize estimated blood loss from phlebotomy.

Process mining is an underutilized clinical research tool in transfusion medicine.

BACKGROUND: To understand inventory performance, transfusion services commonly use key performance indicators (KPIs) as summary descriptors of inventory efficiency that are graphed, trended, and used to benchmark institutions. STUDY DESIGN AND METHODS: Here, we summarize current limitations in KPI-based evaluation of blood bank inventory efficiency and propose process mining as an ideal methodology for application to inventory management research to improve inventory flows and performance. RESULTS: The transit of a blood product from inventory receipt to final disposition is complex and relates to many internal and external influences, and KPIs may be inadequate to fully understand the complexity of the blood supply chain and how units interact with its processes. Process mining lends itself well to analysis of blood bank inventories, and modern laboratory information systems can track nearly all of the complex processes that occur in the blood bank. CONCLUSION: Process mining is an analytical tool already used in other industries and can be applied to blood bank inventory management and research through laboratory information systems data using commercial applications. Although the current understanding of real blood bank inventories is value-centric through KPIs, it potentially can be understood from a process-centric lens using process mining.

Predictive significance of absolute lymphocyte count and morphology in adults with a new onset peripheral blood lymphocytosis.

AIMS: Lymphocytosis is commonly encountered in the haematology laboratory. Evaluation of blood films is an important screening tool for differentiating between reactive and malignant processes. The optimal lymphocyte number to trigger morphological evaluation of the smear has not been well defined in the literature. Likewise, the significance of lymphocyte morphology has not been well studied and there are no consensus guidelines or follow-up recommendations available. We attempt to evaluate the significance of lymphocyte morphology and to define the best possible cut-off value of absolute lymphocyte count for morphology review. METHODS: 71 adult patients with newly detected lymphocytosis of 5.0×10(9)/L or more were categorised to either a reactive process or a lymphoproliferative disorder. We performed statistical analysis and morphology review to compare the difference in age, gender, lymphocyte count and morphological features between the two groups. Receiver operating characteristic analysis was performed to determine an optimal lymphocyte number to trigger morphology review. RESULTS: Lymphoproliferative disorders are associated with advanced age and higher lymphocyte count. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of lymphocyte morphology as a screening test were 0.9, 0.59, 0.60, 0.58 and 0.71, respectively. The optimal cut-off of lymphocyte number for morphology review was found to be close to 7×10(9)/L. CONCLUSIONS: We found a moderate interobserver agreement for the morphological assessment. 'Reactive' morphology was very predictive of a reactive process, but 'malignant' morphology was a poor predictor of a lymphoproliferative disorder.

Comprehensive survey of red blood cell unit life cycle at a large teaching institution in eastern Canada.

BACKGROUND: Recent blood shortages and the potential clinical impact of red blood cell (RBC) age highlight the need to understand blood supply delivery. This study addresses the characteristics and mechanics of RBC unit trafficking and storage across the transfusion service, previously undescribed in the literature. STUDY DESIGN AND METHODS: This retrospective qualitative institutionwide survey assessed the comprehensive RBC life cycle within Capital District Health Authority in Nova Scotia, Canada, during 2007. RESULTS: A total of 15,930 unique RBC units were received from the supplier with 98.6% having mean age of 12.5 days. The mean ages on receipt, transfusion, and time spent in the transfusion system before transfusion were 12, 19.6, and 7.5 days, respectively. Of 12,298 units, 9689 (78.8%) remained within the blood transfusion services (BTSs), while 2609 (21.2%) migrated having been returned a mean of 1.26 times from locations outside BTS (SD, 0.56 times), the latter spending a mean of 18.4 hours outside the BTS. Stationary units had mean age at dispense and time spent in the transfusion system of 19.2 and 6.9 days, respectively, compared to migratory units at 21.3 and 9.9 days, respectively (p < 0.005). A total of 5.2% (636/12258) of units were discarded; 423 of 636 (66.5%) were due to "unit expiry." CONCLUSION: Quantification of our institutional RBC life cycle highlighted key areas for intervention, such as the reduction of unit migration, especially D- units, as this increased RBC age at transfusion. In the era of limited resources, this method could identify areas where effort should be directed to address unnecessary wastage and aging of RBC units.