Selected article for: "blood count and clinical parameter"

Author: Linssen, J.; Ermens, A.; Berrevoets, M.; Seghezzi, M.; Previtali, G.; van der Sar-van der Brugge, S.; Russcher, H.; Verbon, A.; Gillis, J. M. E. P.; Riedl, J.; de Jongh, E.; Saker, J.; Munster, M.; Munnix, I. C. A.; Dofferhoff, A.; Scharnhorst, V.; Ammerlaan, H.; Deiteren, K.; Bakker, S. J. L.; van Pelt, L. J.; Kluiters-de Hingh, Y.; Leers, M. P. G.; van der Ven, A.
Title: A novel haemocytometric COVID-19 prognostic score developed and validated in an observational multicentre European hospital-based study
  • Cord-id: crj95jan
  • Document date: 2020_9_28
  • ID: crj95jan
    Snippet: COVID-19 induces haemocytometric changes. Complete blood count changes, including new cell activation parameters, from 982 confirmed COVID-19 adult patients from 11 European hospitals were retrospectively analysed for distinctive patterns based on age, gender, clinical severity, symptom duration and hospital days. The observed haemocytometric patterns formed the basis to develop a multi-haemocytometric-parameter prognostic score to predict, during the first three days after presentation, which p
    Document: COVID-19 induces haemocytometric changes. Complete blood count changes, including new cell activation parameters, from 982 confirmed COVID-19 adult patients from 11 European hospitals were retrospectively analysed for distinctive patterns based on age, gender, clinical severity, symptom duration and hospital days. The observed haemocytometric patterns formed the basis to develop a multi-haemocytometric-parameter prognostic score to predict, during the first three days after presentation, which patients will recover without ventilation or deteriorate within a two-week timeframe, needing intensive care or with fatal outcome. The prognostic score, with ROC curve AUC at baseline of 0.753 (95% CI 0.723-0.781) increasing to 0.875 (95% CI 0.806-0.926) on day 3, was superior to any individual parameter at distinguishing between clinical severity. Findings were confirmed in a validation cohort. Aim is that the score and haemocytometry results are simultaneously provided by analyser software, enabling wide applicability of the score as haemocytometry is commonly requested in COVID-19 patients.

    Search related documents:
    Co phrase search for related documents
    • absence presence and activation status: 1
    • absence presence and admission day: 1, 2
    • absence presence 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, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63
    • absence presence 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, 25
    • absence presence and lymphocyte count: 1, 2, 3, 4, 5, 6
    • absence presence and lymphocyte neutrophil: 1, 2, 3, 4, 5
    • absence presence and lymphocyte neutrophil ratio: 1
    • absence presence and lymphocyte number: 1
    • absence presence and lymphocyte ratio: 1, 2, 3
    • absence presence and macrophage monocyte: 1, 2
    • absolute difference and admission day: 1, 2
    • absolute difference and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
    • absolute difference and logistic regression analysis: 1, 2, 3, 4, 5
    • absolute difference and lymphocyte count: 1, 2
    • absolute difference and lymphocyte neutrophil: 1, 2
    • absolute difference and lymphocyte neutrophil ratio: 1, 2
    • absolute difference and lymphocyte ratio: 1, 2
    • activation status and low remain: 1
    • activation status and macrophage monocyte: 1, 2