Trend towards reduction of transfusion reactions using prestorage leukocyte-reduced and pooled whole blood-derived platelets and cost savings compared with poststorage whole blood-derived random platelets as evidenced by real-time hemovigilance.

BACKGROUND: Due to chemotherapy-induced neutropenia or hematologic malignancies, immunocompromised cancer patients may have higher incidence of febrile nonhemolytic transfusion reactions compared with the general population and frequently require platelet transfusions. This quality improvement project compared the safety of transfusion using prestorage leukocyte-reduced and pooled whole blood-derived platelets (Acrodose/WBD) with conventionally produced poststorage WBD platelets (RDP) using an active hemovigilance system. METHODS: Every patient receiving a blood product at the hospital was virtually monitored in real time by trained nurses from a remote hemovigilance unit. These nurses monitor a digital dashboard, which populates a watch list of patients from the time blood product administration is initiated until 12 hours posttransfusion. Over the course of 6 months, 371 patients receiving 792 RDP transfusions and 423 patients receiving 780 Acrodose/WBD platelets transfusions were monitored for transfusion reactions. RESULTS: We identified 26 transfusion reactions in RDP but only 12 transfusion reactions in the Acrodose/WBD platelet group. CONCLUSION: Acrodose platelet transfusion was associated with fewer transfusion reactions, which resulted in significant cost savings.

Digitally enabled hemovigilance allows real time response to transfusion reactions.

BACKGROUND: Transfusion carries a risk of transfusion reaction that is often underdiagnosed due to reliance on passive reporting. The study investigated the utility of digital methods to identify potential transfusion reactions, thus allowing real-time intervention for affected patients. METHOD: The hemovigilance unit monitored 3856 patients receiving 43,515 transfusions under the hemovigilance program. Retrospective comparison data included 298,498 transfusions. Transfusion medicine physicians designed and validated algorithms in the electronic health record that analyze discrete data, such as vital sign changes, to assign a risk score during each transfusion. Dedicated hemovigilance nurses remotely monitor all patients and perform real-time chart reviews prioritized by risk score. When a reaction is suspected, a hemovigilance trained licensed clinician responds to manage the patient and ensure data collection. Board-certified transfusion medicine physicians reviewed data and classified transfusion reactions under various categories according to the Centers for Disease Control hemovigilance definitions. RESULTS: Transfusion medicine physicians diagnosed 564 transfusion reactions (1.3% of transfusions)-a 524% increase compared to the previous passive reporting. The rapid response provider reached the bedside on average at 12.4 min demonstrating logistic feasibility. While febrile reactions were most diagnosed, recognition of transfusion-associated circulatory overload demonstrated the greatest relative increase. Auditing and education programs further enhanced transfusion reaction awareness. DISCUSSION: The model of digitally-enabled expert real-time review of clinical data that prompts rapid response improved recognition of transfusion reactions. This approach could be applied to other patient deterioration events such as early identification of sepsis.

High Levels of Common Cold Coronavirus Antibodies in Convalescent Plasma Are Associated With Improved Survival in COVID-19 Patients.

Background: COVID-19 Convalescent plasma (CCP) is safe and effective, particularly if given at an early stage of the disease. Our study aimed to identify an association between survival and specific antibodies found in CCP. Patients and Methods: Patients ≥18 years of age who were hospitalized with moderate to severe COVID-19 infection and received CCP at the MD Anderson Cancer Center between 4/30/2020 and 8/20/2020 were included in the study. We quantified the levels of anti-SARS-CoV-2 antibodies, as well as antibodies against antigens of other coronavirus strains, in the CCP units and compared antibody levels with patient outcomes. For each antibody, a Bayesian exponential survival time regression model including prognostic variables was fit, and the posterior probability of a beneficial effect (PBE) of higher antibody level on survival time was computed. Results: CCP was administered to 44 cancer patients. The median age was 60 years (range 37-84) and 19 (43%) were female. Twelve patients (27%) died of COVID-19-related complications. Higher levels of two non-SARS-CoV-2-specific antibodies, anti-HCoV-OC43 spike IgG and anti-HCoV-HKU1 spike IgG, had PBE = 1.00, and 4 SARS-CoV-2-specific antibodies had PBEs between 0.90 and 0.95. Other factors associated with better survival were shorter time to CCP administration, younger age, and female sex. Conclusions: Common cold coronavirus spike IgG antibodies anti-HCoV-OC43 and anti-HCoV-HKU1 may target a common domain for SARS-CoV-2 and other coronaviruses. They provide a promising therapeutic target for monoclonal antibody production.

High levels of common cold coronavirus antibodies in convalescent plasma are associated with improved survival in COVID-19 patients.

BACKGROUND: COVID-19 Convalescent plasma (CCP) is safe and effective, particularly if given at an early stage of the disease. Our study aimed to identify an association between survival and specific antibodies found in CCP. PATIENTS AND METHODS: Patients ≥18 years of age who were hospitalized with moderate to severe COVID-19 infection and received CCP at the MD Anderson Cancer Center between 4/30/2020 and 8/20/2020 were included in the study. We quantified the levels of anti-SARS-CoV-2 antibodies, as well as antibodies against antigens of other coronavirus strains, in the CCP units and compared antibody levels with patient outcomes. For each antibody, a Bayesian exponential survival time regression model including prognostic variables was fit, and the posterior probability of a beneficial effect (PBE) of higher antibody level on survival time was computed. RESULTS: CCP was administered to 44 cancer patients. The median age was 60 years (range 37-84) and 19 (43%) were female. Twelve patients (27%) died of COVID-19-related complications. Higher levels of two non-SARS-CoV-2-specific antibodies, anti-HCoV-OC43 spike IgG and anti-HCoV-HKU1 spike IgG, had PBE = 1.00, and 4 SARS-CoV-2-specific antibodies had PBEs between 0.90 and 0.95. Other factors associated with better survival were shorter time to CCP administration, younger age, and female sex. CONCLUSIONS: Common cold coronavirus spike IgG antibodies anti-HCoV-OC43 and anti-HCoV-HKU1 may target a common domain for SARS-CoV-2 and other coronaviruses. They provide a promising therapeutic target for monoclonal antibody production.

Correlation of histopathologic features of ductal carcinoma in situ of the breast with the oncotype DX DCIS score.

The Oncotype DX Breast Cancer Assay for ductal carcinoma in situ is used to determine local recurrence risk in patients with ductal carcinoma in situ. The results help select patients with low-risk ductal carcinoma in situ who could forgo radiation therapy after conservative surgery. The genes assessed include five proliferation genes, progesterone receptor (PR), and GSTM-1. Our objective was to determine if PR, mitotic counting, or any other pathologic feature of ductal carcinoma in situ could predict the Oncotype DX DCIS Score. We identified 46 cases of ductal carcinoma in situ with a Oncotype DX DCIS Score. In addition to information obtained from routine pathology, we counted mitotic figures in the ductal carcinoma in situ and noted presence of dense chronic inflammatory infiltrate surrounding ductal carcinoma in situ. We found that PR ≥ 90% (P = 0.004), mitotic count ≤ 1 (P = 0.045), estrogen receptor ≥ 90% (P = 0.046), and low nuclear grade (P < 0.0001) were associated with a low score. Dense chronic inflammation surrounding ductal carcinoma in situ was associated with a high score (P = 0.034).All 13 cases with PR ≥ 90%, ≤ 1 mitotic figure and absence of dense chronic inflammation around ductal carcinoma in situ had a low score (100% specificity). A low score was not observed in any case with at least two of the following--negative PR, >1 mitotic figure, and/or presence of dense chronic inflammation around ductal carcinoma in situ (100% specificity). Our study suggests using a combination of PR (≥ 90% vs negative) with mitotic count in ductal carcinoma in situ (≤ 1 vs >1) and dense chronic inflammation around ductal carcinoma in situ one could predict the Oncotype DX DCIS score. Mitotic counting and evaluation of immune response might provide prognostic information in ductal carcinoma in situ.