Selected article for: "admission score and lung involvement"
Author: Ahlstrand, Erik; Cajander, Sara; Cajander, Per; Ingberg, Edvin; Löf, Erika; Wegener, Matthias; Lidén, Mats
Title: Visual scoring of chest CT at hospital admission predicts hospitalization time and intensive care admission in Covid-19
  • Cord-id: hctjpvh3
  • Document date: 2021_4_13
    • ID: hctjpvh3
    Snippet: BACKGROUND: Chest CT is prognostic in Covid-19 but there is a lack of consensus on how to report the CT findings. A chest CT scoring system, ÖCoS, was implemented in clinical routine on 1 April 2020, in Örebro Region, Sweden. The ÖCoS-severity score measures the extent of lung involvement. The objective of the study was to evaluate the ÖCoS scores as predictors of the clinical course of Covid-19. METHODS: Population based study including data from all hospitalized patients with Covid-19 in Ã
    Document: BACKGROUND: Chest CT is prognostic in Covid-19 but there is a lack of consensus on how to report the CT findings. A chest CT scoring system, ÖCoS, was implemented in clinical routine on 1 April 2020, in Örebro Region, Sweden. The ÖCoS-severity score measures the extent of lung involvement. The objective of the study was to evaluate the ÖCoS scores as predictors of the clinical course of Covid-19. METHODS: Population based study including data from all hospitalized patients with Covid-19 in Örebro Region during March to July 2020. We evaluated the correlations between CT scores at the time of admission to hospital and intensive care in relation to hospital and intensive care length of stay (LoS), intensive care admission and death. C-reactive protein and lymphocyte count were included as covariates in multivariate regression analyses. RESULTS: In 381 included patients, the ÖCoS-severity score at admission closely correlated to hospital length of stay, and intensive care admission or death. At admission to intensive care, the ÖCoS-severity score correlated with intensive care length of stay. The ÖCoS-severity score was superior to basic inflammatory biomarkers in predicting clinical outcomes. CONCLUSION: Chest CT visual scoring at admission to hospital predicted the clinical course of Covid-19 pneumonia.

    Search related documents:
    Co phrase search for related documents
    • acute ards respiratory distress syndrome and adjuvant treatment: 1, 2, 3, 4
    • acute ards respiratory distress syndrome and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute ards respiratory distress syndrome and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
    • acute ards respiratory distress syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • acute ards respiratory distress syndrome and los stay hospital length: 1, 2, 3, 4, 5, 6, 7
    • acute ards respiratory distress syndrome and low impact: 1, 2
    • acute ards respiratory distress syndrome and low molecular weight: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    • acute organ dysfunction and logistic regression: 1, 2, 3
    • acute organ dysfunction and logistic regression analysis: 1, 2
    • acute phase and additional patient: 1
    • acute phase and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute phase and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • acute phase and logistic regression model: 1, 2, 3, 4, 5
    • acute phase and los stay hospital length: 1
    • acute phase and low impact: 1
    • acute phase and low molecular weight: 1, 2, 3, 4, 5, 6, 7
    • additional patient and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7
    • additional patient and los stay hospital length: 1
    • additional patient and low molecular weight: 1