11 research outputs found

    Asxl1 Mutation Is a Novel Risk Factor for Bleeding in Patients with Philadelphia-Negative Myeloproliferative Neoplasms (MPN)

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    Background: Bleeding and thrombosis are prevalent across all myeloproliferative neoplasm (MPN) subtypes and have significant impact on morbidity and mortality. Although risk factors for thrombosis are well established, bleeding risk factors in these patients are poorly characterized. Identifying MPN patients at higher risk for bleeding could guide the duration of anticoagulation for patients with MPN associated thrombosis (balancing the risk between bleeding and thrombosis), select individuals at higher risk for bleeding during prophylactic anticoagulation, and predict for bleeding complications with surgical procedures

    Spontaneous heparin-induced thrombocytopenia presenting as bilateral adrenal hemorrhages and pulmonary embolism after total knee arthroplasty

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    Heparin-induced thrombocytopenia syndrome is an acquired potentially life-threatening prothrombotic disorder caused by antibodies that recognize complexes of platelet factor 4 bound to heparin or heparin-like molecules. It typically occurs after exposure to unfractionated heparin, to a lesser extent after exposure to low-molecular-weight heparins, and rarely after exposure to fondaparinux. Herein, we report the case of a 48-year-old woman who developed severe thrombocytopenia, bilateral pulmonary embolism, and bilateral adrenal hemorrhages after total knee arthroplasty without evidence of heparin exposure. Antibodies to the heparin-platelet factor 4 complex and serotonin-release assay were positive. Spontaneous heparin-induced thrombocytopenia syndrome should be considered in patients with unexplained thrombocytopenia after knee replacement surgery even without heparin exposure, and a high index of suspicion for adrenal hemorrhage is needed in patients with fever, abdominal pain, and shock

    The CoVID- TE risk assessment model for venous thromboembolism in hospitalized patients with cancer and COVID- 19

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    BackgroundHospitalized patients with COVID- 19 have increased risks of venous (VTE) and arterial thromboembolism (ATE). Active cancer diagnosis and treatment are well- known risk factors; however, a risk assessment model (RAM) for VTE in patients with both cancer and COVID- 19 is lacking.ObjectivesTo assess the incidence of and risk factors for thrombosis in hospitalized patients with cancer and COVID- 19.MethodsAmong patients with cancer in the COVID- 19 and Cancer Consortium registry (CCC19) cohort study, we assessed the incidence of VTE and ATE within 90 days of COVID- 19- associated hospitalization. A multivariable logistic regression model specifically for VTE was built using a priori determined clinical risk factors. A simplified RAM was derived and internally validated using bootstrap.ResultsFrom March 17, 2020 to November 30, 2020, 2804 hospitalized patients were analyzed. The incidence of VTE and ATE was 7.6% and 3.9%, respectively. The incidence of VTE, but not ATE, was higher in patients receiving recent anti- cancer therapy. A simplified RAM for VTE was derived and named CoVID- TE (Cancer subtype high to very- high risk by original Khorana score +1, VTE history +2, ICU admission +2, D- dimer elevation +1, recent systemic anti- cancer Therapy +1, and non- Hispanic Ethnicity +1). The RAM stratified patients into two cohorts (low- risk, 0- 2 points, n = 1423 vs. high- risk, 3+ points, n = 1034) where VTE occurred in 4.1% low- risk and 11.3% high- risk patients (c statistic 0.67, 95% confidence interval 0.63- 0.71). The RAM performed similarly well in subgroups of patients not on anticoagulant prior to admission and moderately ill patients not requiring direct ICU admission.ConclusionsHospitalized patients with cancer and COVID- 19 have elevated thrombotic risks. The CoVID- TE RAM for VTE prediction may help real- time data- driven decisions in this vulnerable population.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/170302/1/jth15463_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/170302/2/jth15463.pd

    The CoVID-TE risk assessment model for venous thromboembolism in hospitalized patients with cancer and COVID-19

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    BACKGROUND: Hospitalized patients with COVID-19 have increased risks of venous (VTE) and arterial thromboembolism (ATE). Active cancer diagnosis and treatment are well-known risk factors; however, a risk assessment model (RAM) for VTE in patients with both cancer and COVID-19 is lacking. OBJECTIVES: To assess the incidence of and risk factors for thrombosis in hospitalized patients with cancer and COVID-19. METHODS: Among patients with cancer in the COVID-19 and Cancer Consortium registry (CCC19) cohort study, we assessed the incidence of VTE and ATE within 90 days of COVID-19-associated hospitalization. A multivariable logistic regression model specifically for VTE was built using a priori determined clinical risk factors. A simplified RAM was derived and internally validated using bootstrap. RESULTS: From March 17, 2020 to November 30, 2020, 2804 hospitalized patients were analyzed. The incidence of VTE and ATE was 7.6% and 3.9%, respectively. The incidence of VTE, but not ATE, was higher in patients receiving recent anti-cancer therapy. A simplified RAM for VTE was derived and named CoVID-TE (Cancer subtype high to very-high risk by original Khorana score +1, VTE history +2, ICU admission +2, D-dimer elevation +1, recent systemic anti-cancer Therapy +1, and non-Hispanic Ethnicity +1). The RAM stratified patients into two cohorts (low-risk, 0-2 points, n = 1423 vs. high-risk, 3+ points, n = 1034) where VTE occurred in 4.1% low-risk and 11.3% high-risk patients (c statistic 0.67, 95% confidence interval 0.63-0.71). The RAM performed similarly well in subgroups of patients not on anticoagulant prior to admission and moderately ill patients not requiring direct ICU admission. CONCLUSIONS: Hospitalized patients with cancer and COVID-19 have elevated thrombotic risks. The CoVID-TE RAM for VTE prediction may help real-time data-driven decisions in this vulnerable population

    Racial Disparities in COVID-19 Outcomes Among Black and White Patients With Cancer

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