Citations

Abstract Background: The dynamic nature of surgical demand poses significant challenges in planning and scheduling resources to staff the surgical suite. Uncertainty in workload often leads to conservative upstream resource allocation, resulting in staffing misallocation. We propose a novel metric, the daily maximum number of open operating rooms (ORs), as an interpretable resource demand proxy to support staff planning. Methods: Using historical surgical data from Mayo Clinic in Rochester, Minnesota, from May 5, 2018 through October 8, 2023 (332,904 surgical cases), we developed a deep learning framework based on a wide-and-deep architecture to predict the daily maximum number of open ORs. The model incorporates features capturing historic OR use trends, seasonality effects, and anesthesia division–specific characteristics. Predictions are generated for forecast horizons of up to 90 business days. Results: Our results demonstrate strong predictive performance, with campus-level root mean square error values ranging from 5 to 7 available ORs across all forecast horizons. Validation across 9 anesthesia divisions confirms the frame- work’s capability to capture complex, nonlinear dependencies within longitudinal surgical datasets. Conclusions: This study introduces a novel operational metric and a robust predictive framework for perioperative resource management. By accurately fore- casting daily maximum open ORs, health care managers can better align staff capacity with anticipated demand, potentially enhancing staff use and improving the patient care experience by minimizing delays.

AbstractBackgroundWith the widespread adoption of Blood Establishment Computer Systems and other Blood Collection and Transfusion Service (BCTS) clinical information systems (CIS), electronic blood donor, product, and patient data are now routinely required for clinical, regulatory, operational, and quality needs. That data are often not readily accessible for such secondary use within CIS databases, particularly for applications with significant data availability requirements such as machine learning and artificial intelligence. Data replication provides one avenue by which CIS data can be made more readily available.Study Design and MethodsMembers of the AABB's Information Systems Committee along with institutional information technology colleagues provided a multi‐institutional viewpoint on data replication through the lens of BCTS specific use cases. Case studies of informatics offerings leveraging such technologies were also elicited.ResultsSix distinct use cases describe the potential role of data replication including the creation of data warehouses for frontline laboratory staff. Specific BCTS examples for each use case are presented to highlight the value of data replication, including visualization of critical inventory (O red blood cells, HLA‐compatible platelets) and utilization analytics for patient blood management. Two case studies describe the approach to implement such technologies to (1) optimize staffing via laboratory workload reporting and (2) improve access to blood via antigen‐negative blood product location services.DiscussionData replication and warehousing can empower BCTS analytic offerings not otherwise natively available through one's CIS to improve patient care and laboratory operations.

BACKGROUND: Anemia is common in critically ill patients and may be exacerbated through phlebotomy-associated iatrogenic blood loss. Differences in phlebotomy practice across patient demographic characteristics, clinical features, and practice environments are unclear. This investigation provides a comprehensive description of contemporary phlebotomy practices for critically ill adults. METHODS: This is an observational cohort study of adults ≥18 years of age requiring intensive care unit (ICU) admission between January 1, 2019, and December 31, 2019, at a large academic medical center. Descriptive statistics were utilized to summarize all phlebotomy episodes throughout hospitalization, with each phlebotomy episode defined by unique peripheral venous, central venous, or arterial accesses for laboratory draws, exclusive of finger sticks. Secondarily, financial costs of phlebotomy and the relationships between phlebotomy practices, hemoglobin concentrations, and red blood cell (RBC) transfusions were evaluated. RESULTS: A total of 6194 patients were included: 59% were men with a median (interquartile range) age of 66 (54–76) years and median ICU and hospital durations of 2.1 (1.4–3.9) and 7.1 (4.3–11.8) days, respectively. The median number of unique laboratory draws was 41 (18–88) throughout hospitalization, with a median volume of 232 (121–442) mL, corresponding to 5.2 (2.6–8.8) draws and 29 (19–43) mL per day. Waste (ie, discard) volume was responsible for 10.8% of total phlebotomy volume. Surgical patients had a higher number of phlebotomy episodes and greater total phlebotomy volumes compared to nonsurgical patients. Phlebotomy practices differed across ICU types, with the greatest frequency of laboratory draws in the cardiac surgical ICU and the greatest daily phlebotomy volume in the medical ICU. Across hospitalization, ICU environments had the greatest frequency and volumes of laboratory draws, with the least intensive phlebotomy practice observed in the general hospital wards. Patients in the highest quartile of cumulative blood drawn experienced the longest hospitalizations, lowest nadir hemoglobin concentrations, and greatest RBC transfusion utilization. Differences in phlebotomy practice were limited across patient age, gender, and race. Hemoglobin concentrations declined during hospitalization, congruent with intensity of phlebotomy practice. Each 100 mL of phlebotomy volume during hospitalization was associated with a 1.15 (95% confidence interval [CI], 1.14–1.17; P < .001) multiplicative increase in RBC units transfused in adjusted analyses. Estimated annual phlebotomy costs exceeded $15 million (approximately $2500 per patient admission). CONCLUSIONS: Phlebotomy continues to be a major source of blood loss in hospitalized patients with critical illness, and more intensive phlebotomy practices are associated with lower hemoglobin concentrations and greater transfusion utilization.

BACKGROUND: The relationships between the ratios of transfused allogeneic blood products and clinical outcomes in patients with acute intraoperative hemorrhage are poorly defined. METHODS: To better define these ratios, we undertook a single-center, observational cohort study of all surgical patients (≥18 years) who received rapid transfusion defined by a critical administration threshold of 3 or more units of red blood cells (RBCs) intraoperatively within 1 hour between January 1, 2011 and December 31, 2015. Multivariable regression analyses were used to assess relationships between ratios of plasma to RBCs and platelets to RBCs at 3, 12, and 24 hours and clinical outcomes. The primary outcome was hospital mortality, with secondary outcomes of intensive care unit and hospital-free days. RESULTS: The study included 2385 patients, of whom 14.9% had a plasma-to-RBC ratio of 1.0+, and 47.6% had a platelet-to-RBC ratio of 1.0+. Higher plasma-to-RBC and platelet-to-RBC ratios were observed for patients who underwent cardiac, transplant, and vascular surgery and in patients with greater derangements in hemostatic laboratory values. Ratios did not differ by patient age or severity of illness. Higher ratios were not associated with improved clinical outcomes. Mortality differed by platelet-to-RBC but not plasma-to-RBC ratio, with the highest mortality observed with a platelet-to-RBC ratio of 0.1–0.9 at 24 hours (odds ratio, 3.34 [1.62–6.88]) versus no platelets ( P = .001). Higher plasma-to-RBC ratios were associated with decreased hospital-free days, although differences in clinical outcomes were not significant after exclusion of patients receiving only RBCs without component therapies. CONCLUSIONS: Transfusion ratios in surgical patients with critical intraoperative hemorrhage were largely related to surgical and hemostatic features rather than baseline patient characteristics. Higher ratios were not associated with improved outcomes.

BACKGROUNDRecipients of hematopoietic stem cell transplantation (HSCT) are among the highest consumers of allogeneic red blood cell (RBC) and platelet (PLT) components. The impact of patient blood management (PBM) efforts on HSCT recipients is poorly understood.STUDY DESIGN AND METHODSThis observational study assessed changes in blood product use and patient‐centered outcomes before and after implementing a multidisciplinary PBM program for patients undergoing HSCT at a large academic medical center. The pre‐PBM cohort was treated from January 1 through September 31, 2013; the post‐PBM cohort was treated from January 1 through September 31, 2015.RESULTSWe identified 708 patients; 284 of 352 (80.7%) in the pre‐PBM group and 225 of 356 (63.2%) in the post‐PBM group received allogeneic RBCs (p < 0.001). Median (interquartile range [IQR]) RBC volumes were higher before PBM than after PBM (3 [2‐4] units vs. 2 [1‐4] units; p = 0.004). A total of 259 of 284 pre‐PBM patients (91.2%) and 57 of 225 (25.3%) post‐PBM patients received RBC transfusions when hemoglobin levels were more than 7 g/dL (p < 0.001). The median (IQR) PLT transfusion quantities was 3 (2‐5) units for pre‐PBM patients and 2 (1‐4) units for post‐PBM patients (p < 0.001). For patients with PLT counts of more than 10 × 109/L, a total of 1219 PLT units (73.4%) were transfused before PBM and 691 units (48.8%) were transfused after PBM (p < 0.001). Estimated transfusion expenditures were reduced by $617,152 (18.3%). We noted no differences in clinical outcomes or transfusion‐related adverse events.CONCLUSIONPatient blood management implementation for HSCT recipients was associated with marked reductions in allogeneic RBC and PLT transfusions and decreased transfusion‐related costs with no detrimental impact on clinical outcomes.

BACKGROUNDThe prevention of excessive allogeneic red blood cell (RBC) transfusion is an important component of patient blood management initiatives. In this investigation, changes in transfusion behaviors following modification of computerized physician order entry (CPOE) procedures for RBC transfusions to a single‐unit default quantity were assessed.STUDY DESIGN AND METHODSThis is an observational cohort study of adults for whom nonemergency allogeneic RBC transfusions were ordered in the 2 years before and 2 years after the date of modification of the CPOE system to a single‐unit default (June 18, 2015). Changes in the frequency of single‐ versus multiunit RBC transfusion orders and other transfusion metrics were compared between preintervention and postintervention cohorts.RESULTSA total of 52,773 unique transfusion orders for 61,989 RBC units were included, of which 60,045 (96.9%) were transfused. Single‐unit orders increased annually, from 10,404 (74.1%) in the first year to 11,645 (88.6%) in the last year, while multiunit orders decreased by more than half (p < 0.0001). The number of RBC units transfused decreased by 13.9% from 32,528 in the preintervention cohort to 27,497 in the post intervention cohort (p < 0.0001) with an estimated reduction in transfusion‐related expenditures of nearly $4 million. The percentage of transfusions associated with a posttransfusion hemoglobin of10 g/dL or greater decreased by 34.5% (p < 0.0001).CONCLUSIONModification of the CPOE process such that nonemergency RBC transfusion orders were defaulted to a single unit was associated with decreased rates of multiunit RBC transfusion orders, lower transfusion volumes, and substantial cost savings.

BACKGROUND: Plasma transfusion is commonly performed for the correction of abnormal coagulation screening tests. The goal of this investigation was to assess the relationship between the dose of plasma administered and changes in coagulation test results in a large and diverse cohort of patients with varying levels of coagulation abnormalities and comorbid disease and in a variety of clinical settings. METHODS: In this single-center historical cohort study, all plasma transfusion episodes in adult patients with abnormal coagulation screening tests were extracted between 2011 and 2015. The primary outcome was the proportion of patients attaining normal posttransfusion international normalized ratio (INR ≤ 1.1) with secondary outcomes including the proportion of patients attaining partial normalization of INR (INR ≤ 1.5) or at least 50% normalization in pretransfusion values with respect to an INR of 1.1. RESULTS: In total, 6779 unique patients received plasma with a median (quartiles) pretransfusion INR of 1.9 (1.6–2.5) and a median transfusion volume of 2 (2–3) units. The majority (85%) of transfusions occurred perioperatively, with 20% of transfusions administered prophylactically before a procedure. The median decrease in INR was 0.4 (0.2–0.8). Complete INR normalization was obtained in 12%. Reductions in INR were modest with pretransfusion INR values <3. Patients receiving ≥3 units of plasma were more likely to achieve at least 50% normalization in INR than those receiving ≤2 units (68% vs 60%; P < .001). CONCLUSIONS: Changes in INR after plasma transfusion were modest at typically used clinical doses, particularly in those with less severely deranged baseline coagulation screening tests. Further studies are necessary to assess the relationships between plasma-mediated changes in INR and clinical outcomes.

Importance: Media reports have questioned the safety of overlapping surgical procedures, and national scrutiny has underscored the necessity of single-center evaluations of its safety; however, sample sizes are likely small. We compared the safety profiles of overlapping and nonoverlapping pediatric procedures at a single children's hospital and discussed methodological considerations of the evaluation. Data and Design: Retrospective analysis of inpatient pediatric surgical procedures (January 2013 to September 2015) at a single pediatric referral center. Overlapping and nonoverlapping procedures were matched in an unbalanced manner (m:n) by procedure. Mixed models adjusting for Vizient-predicted risk, case-mix, and surgeon compared inpatient mortality and length of stay (LOS). Results: Among 315 overlapping procedures, 256 (81.3%) were matched to 645 nonoverlapping procedures. There were 6 deaths in all. The adjusted odds ratio for mortality did not differ significantly between nonoverlapping and overlapping procedures (adjusted odds ratio = 0.94 vs overlapping; 95% CI, 0.02–48.5; P = 0.98). Wide confidence intervals were minimally improved with Bayesian methods (95% CI, 0.07–12.5). Adjusted LOS estimates were not clinically different by overlapping status (0.6% longer for nonoverlapping; 95% CI, 9.7% shorter to 12.2% longer; P = 0.91). Among the 87 overlapping procedures with the greatest overlap (≥60 min or ≥50% of operative duration), there were no deaths. Conclusions: The safety of overlapping and nonoverlapping surgical procedures did not differ at this children's center. These findings may not extrapolate to other centers. LOS or intraoperative measures may be more appropriate than mortality for safety evaluations due to low event rates for mortality.