Author: Spyropoulos, Alex C.; Cohen, Stuart L.; Gianos, Eugenia; Kohn, Nina; Giannis, Dimitrios; Chatterjee, Saurav; Goldin, Mark; Lesser, Marty; Coppa, Kevin; Hirsch, Jamie S.; McGinn, Thomas; Barish, Matthew A.
Title: Validation of the IMPROVEâ€DD risk assessment model for venous thromboembolism among hospitalized patients with COVIDâ€19 Cord-id: 2goxa4f4 Document date: 2021_2_24
ID: 2goxa4f4
Snippet: BACKGROUND: Antithrombotic guidance statements for hospitalized patients with coronavirus disease 2019 (COVIDâ€19) suggest a universal thromboprophylactic strategy with potential to escalate doses in highâ€risk patients. To date, no clear approach exists to discriminate patients at high risk for venous thromboembolism (VTE). OBJECTIVES: The objective of this study is to externally validate the IMPROVEâ€DD risk assessment model (RAM) for VTE in a large cohort of hospitalized patients with COVI
Document: BACKGROUND: Antithrombotic guidance statements for hospitalized patients with coronavirus disease 2019 (COVIDâ€19) suggest a universal thromboprophylactic strategy with potential to escalate doses in highâ€risk patients. To date, no clear approach exists to discriminate patients at high risk for venous thromboembolism (VTE). OBJECTIVES: The objective of this study is to externally validate the IMPROVEâ€DD risk assessment model (RAM) for VTE in a large cohort of hospitalized patients with COVIDâ€19 within a multihospital health system. METHODS: This retrospective cohort study evaluated the IMPROVEâ€DD RAM on adult inpatients with COVIDâ€19 hospitalized between March 1, 2020, and April 27, 2020. Diagnosis of VTE was defined by new acute deep venous thrombosis or pulmonary embolism by Radiology Department imaging or pointâ€ofâ€care ultrasound. The receiver operating characteristic (ROC) curve was plotted and area under the curve (AUC) calculated. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated using standard methods. RESULTS: A total of 9407 patients were included, with a VTE prevalence of 2.9%. The VTE rate was 0.4% for IMPROVEâ€DD score 0â€1 (low risk), 1.3% for score 2â€3 (moderate risk), and 5.3% for score ≥ 4 (high risk). Approximately 45% of the total population scored high VTE risk, while 21% scored low VTE risk. IMPROVEâ€DD discrimination of low versus medium/high risk showed sensitivity of 0.971, specificity of 0.218, PPV of 0.036, and NPV of 0.996. ROC AUC was 0.702. CONCLUSIONS: The IMPROVEâ€DD VTE RAM demonstrated very good discrimination to identify hospitalized patients with COVIDâ€19 as low, moderate, and high VTE risk in this large external validation study with potential to individualize thromboprophylactic strategies.
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