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SARS-COV-ATE risk assessment model for arterial thromboembolism in COVID-19
Pin Li1, Yi Lee2,3, Qasim Jehangir3,4
1Department of Public Health Sciences, Henry Ford Health, Detroit, MI, USA. pli3@hfhs.org.
Insights
COVID-19 patients face high risks of arterial thromboembolism (ATE). A new 16-item SARS-COV-ATE score accurately predicts ATE risk in hospitalized patients, aiding early intervention.
Area of Science:
- Cardiology
- Infectious Diseases
- Public Health
Background:
- SARS-CoV-2 infection significantly elevates the risk of cardiovascular and thrombotic complications.
- COVID-19 is an independent risk factor for acute ischemic stroke and myocardial infarction (MI).
- Effective risk stratification is crucial for managing hospitalized COVID-19 patients prone to arterial thromboembolism (ATE).
Purpose of the Study:
- To develop and validate a risk assessment model (RAM) for stratifying hospitalized COVID-19 patients at risk for ATE.
- To identify key clinical and laboratory parameters predictive of ATE in COVID-19 patients.
- To create a practical tool for early identification and management of ATE risk.
Main Methods:
- A multicenter, retrospective study involving adult COVID-19 patients admitted between March 2020 and September 2021.
- Development of a 16-item risk score, named SARS-COV-ATE, based on demographic, clinical, and laboratory data.
- Validation of the model's discrimination and risk stratification capabilities using training and validation cohorts.
Main Results:
- The SARS-COV-ATE model demonstrated good discrimination, with AUCs of 0.777 (training) and 0.766 (validation).
- In the validation cohort, ATE incidence was 2.4% (low-risk), 12.8% (intermediate-risk), and 33.8% (high-risk) based on the score.
- The model incorporates parameters such as age, sex, race, smoking status, blood pressure, creatinine, and specific biomarkers.
Conclusions:
- The novel SARS-COV-ATE risk assessment model effectively identifies hospitalized COVID-19 patients at risk for ATE.
- The 16-item score utilizes standardized, readily available parameters for practical clinical application.
- This tool can aid clinicians in stratifying patients and implementing timely preventive strategies against ATE.
Abstract:
Patients with SARS-CoV-2 infection are at an increased risk of cardiovascular and thrombotic complications conferring an extremely poor prognosis. COVID-19 infection is known to be an independent risk factor for acute ischemic stroke and myocardial infarction (MI). We developed a risk assessment model (RAM) to stratify hospitalized COVID-19 patients for arterial thromboembolism (ATE). This multicenter, retrospective study included adult COVID-19 patients admitted between 3/1/2020 and 9/5/2021. Among 3531 patients from the training cohort, 15.5% developed acute in-hospital ATE, including stroke, MI, and other ATE, compared to 13.4% in the validation cohort. The 16-item final score was named SARS-COV-ATE (Sex: male = 1, Age [40-59 = 2, > 60 = 4], Race: non-African American = 1, Smoking = 1 and Systolic blood pressure elevation = 1, Creatinine elevation = 1; Over the range: leukocytes/lactate dehydrogenase/interleukin-6, B-type natriuretic peptide = 1, Vascular disease (cardiovascular/cerebrovascular = 1), Aspartate aminotransferase = 1, Troponin-I [> 0.04 ng/mL = 1, troponin-I > 0.09 ng/mL = 3], Electrolytes derangement [magnesium/potassium = 1]). RAM had a good discrimination (training AUC 0.777, 0.756-0.797; validation AUC 0.766, 0.741-0.790). The validation cohort was stratified as low-risk (score 0-8), intermediate-risk (score 9-13), and high-risk groups (score ≥ 14), with the incidence of ATE 2.4%, 12.8%, and 33.8%, respectively. Our novel prediction model based on 16 standardized, commonly available parameters showed good performance in identifying COVID-19 patients at risk for ATE on admission.
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