Author: Barnes, Drew H.; Lo, Kevin Bryan; Bhargav, Ruchika; Gul, Fahad; DeJoy, Robert; Peterson, Eric; Salacup, Grace; Pelayo, Jerald; Albano, Jeri; Azmaiparashvili, Zurab; Rangaswami, Janani; Carpio, Andres Mora; Patarroyoâ€Aponte, Gabriel
Title: Predictors of venous thromboembolism in patients with COVIDâ€19 in an underserved urban population: A single tertiary center experience Cord-id: vma6xlam Document date: 2021_4_28
ID: vma6xlam
Snippet: INTRODUCTION: Venous thromboembolism (VTE) is reported in up to 27% of patients with COVIDâ€19 due to SARSâ€CoVâ€2 infection. Dysregulated systemic inflammation and various patient traits are presumed to underlie this anomaly. Optimal VTE prophylaxis in COVIDâ€19 patients has not been established due to a lack of validated models for predicting VTE in this population. Our study aims to address this deficiency by identifying demographic and clinical characteristics of COVIDâ€19 patients asso
Document: INTRODUCTION: Venous thromboembolism (VTE) is reported in up to 27% of patients with COVIDâ€19 due to SARSâ€CoVâ€2 infection. Dysregulated systemic inflammation and various patient traits are presumed to underlie this anomaly. Optimal VTE prophylaxis in COVIDâ€19 patients has not been established due to a lack of validated models for predicting VTE in this population. Our study aims to address this deficiency by identifying demographic and clinical characteristics of COVIDâ€19 patients associated with increased VTE risk. METHODS: This study is a retrospective analysis of all adult patients (final sample, n = 355) hospitalized with confirmed COVIDâ€19 at Einstein Medical Center Philadelphia between March 1 and April 24, 2020. Demographic and clinical patient data were collected and factors associated with VTE were identified and analyzed using tâ€tests, multivariable logistic regression, and receiver operating characteristic (ROC) curves. RESULTS: Thirty patients (8.5%) developed VTE. Patients with VTE had significantly higher Dâ€dimer levels on admission (P = 0.045) and peak Dâ€dimer levels (P < 0.0001), in addition to higher rates of vasopressor requirements (P = 0.038), intubation (P = 0.003), and death (P = 0.023). Age (OR 1.042), obstructive sleep apnea (OR 5.107), and need for intubation (OR 3.796) were associated with significantly increased odds of VTE. Peak Dâ€dimer level was a good predictor of VTE (AUC 0.806, P < 0.0001) and a Dâ€dimer cutoff of >6640 ng/mL had high (>70%) sensitivity and specificity for VTE. CONCLUSION: Peak Dâ€dimer level may be the most reliable clinical marker in COVIDâ€19 patients for predicting VTE and future prospective studies should attempt to further validate this.
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