Selected article for: "high negative predictive value and predictive value"

Author: Luchian, Maria-Luiza; Lochy, Stijn; Motoc, Andreea; Belsack, Dries; Magne, Julien; Roosens, Bram; de Mey, Johan; Tanaka, Kaoru; Scheirlynck, Esther; Boeckstaens, Sven; Van den Bussche, Karen; De Potter, Tom; von Kemp, Berlinde; Galloo, Xavier; François, Clara; Weytjens, Caroline; Droogmans, Steven; Cosyns, Bernard
Title: Prognostic Value of Coronary Artery Calcium Score in Hospitalized COVID-19 Patients
  • Cord-id: c4ms0fpg
  • Document date: 2021_7_9
  • ID: c4ms0fpg
    Snippet: Background: The association of known cardiovascular risk factors with poor prognosis of coronavirus disease 2019 (COVID-19) has been recently emphasized. Coronary artery calcium (CAC) score is considered a risk modifier in the primary prevention of cardiovascular disease. We hypothesized that the absence of CAC might have an additional predictive value for an improved cardiovascular outcome of hospitalized COVID-19 patients. Materials and methods: We prospectively included 310 consecutive hospit
    Document: Background: The association of known cardiovascular risk factors with poor prognosis of coronavirus disease 2019 (COVID-19) has been recently emphasized. Coronary artery calcium (CAC) score is considered a risk modifier in the primary prevention of cardiovascular disease. We hypothesized that the absence of CAC might have an additional predictive value for an improved cardiovascular outcome of hospitalized COVID-19 patients. Materials and methods: We prospectively included 310 consecutive hospitalized patients with COVID-19. Thirty patients with history of coronary artery disease were excluded. Chest computed tomography (CT) was performed in all patients. Demographics, medical history, clinical characteristics, laboratory findings, imaging data, in-hospital treatment, and outcomes were retrospectively analyzed. A composite endpoint of major adverse cardiovascular events (MACE) was defined. Results: Two hundred eighty patients (63.2 ± 16.7 years old, 57.5% male) were included in the analysis. 46.7% patients had a CAC score of 0. MACE rate was 21.8% (61 patients). The absence of CAC was inversely associated with MACE (OR 0.209, 95% CI 0.052–0.833, p = 0.027), with a negative predictive value of 84.5%. Conclusion: The absence of CAC had a high negative predictive value for MACE in patients hospitalized with COVID-19, even in the presence of cardiac risk factors. A semi-qualitative assessment of CAC is a simple, reproducible, and non-invasive measure that may be useful to identify COVID-19 patients at a low risk for developing cardiovascular complications.

    Search related documents:
    Co phrase search for related documents
    • acute coronary syndrome and logistic regression model: 1, 2
    • acute coronary syndrome and mace prediction: 1
    • acute heart failure and additional value: 1
    • acute heart failure and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
    • acute heart failure and logistic regression model: 1, 2
    • acute heart failure and low high intermediate: 1
    • additional cost and logistic regression: 1, 2, 3
    • additional value and logistic regression: 1, 2, 3, 4, 5
    • additional value and logistic regression model: 1, 2
    • logistic regression and low high intermediate: 1, 2, 3, 4, 5, 6, 7, 8
    • logistic regression and mace prediction: 1