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10.1080/23744235.2021.1910727

http://scihub22266oqcxt.onion/10.1080/23744235.2021.1910727
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suck abstract from ncbi


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pmid33848219      Infect+Dis+(Lond) 2021 ; 53 (8): 622-632
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  • Visual scoring of chest CT at hospital admission predicts hospitalization time and intensive care admission in Covid-19 #MMPMID33848219
  • Ahlstrand E; Cajander S; Cajander P; Ingberg E; Lof E; Wegener M; Liden M
  • Infect Dis (Lond) 2021[Aug]; 53 (8): 622-632 PMID33848219show ga
  • 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, OCoS, was implemented in clinical routine on 1 April 2020, in Orebro Region, Sweden. The OCoS-severity score measures the extent of lung involvement. The objective of the study was to evaluate the OCoS scores as predictors of the clinical course of Covid-19. METHODS: Population based study including data from all hospitalized patients with Covid-19 in Orebro 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 OCoS-severity score at admission closely correlated to hospital length of stay, and intensive care admission or death. At admission to intensive care, the OCoS-severity score correlated with intensive care length of stay. The OCoS-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.
  • |*COVID-19[MESH]
  • |Critical Care[MESH]
  • |Hospitalization[MESH]
  • |Hospitals[MESH]
  • |Humans[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]
  • |Sweden[MESH]


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