PLoS ONE (Jan 2020)

Pre-test probability for SARS-Cov-2-related infection score: The PARIS score.

  • Mickael Tordjman,
  • Ahmed Mekki,
  • Rahul D Mali,
  • Ines Saab,
  • Guillaume Chassagnon,
  • Enora Guillo,
  • Robert Burns,
  • Deborah Eshagh,
  • Sebastien Beaune,
  • Guillaume Madelin,
  • Simon Bessis,
  • Antoine Feydy,
  • Fadila Mihoubi,
  • Benoit Doumenc,
  • Luc Mouthon,
  • Robert-Yves Carlier,
  • Jean-Luc Drapé,
  • Marie-Pierre Revel

DOI
https://doi.org/10.1371/journal.pone.0243342
Journal volume & issue
Vol. 15, no. 12
p. e0243342

Abstract

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IntroductionIn numerous countries, large population testing is impossible due to the limited availability of RT-PCR kits and CT-scans. This study aimed to determine a pre-test probability score for SARS-CoV-2 infection.MethodsThis multicenter retrospective study (4 University Hospitals) included patients with clinical suspicion of SARS-CoV-2 infection. Demographic characteristics, clinical symptoms, and results of blood tests (complete white blood cell count, serum electrolytes and CRP) were collected. A pre-test probability score was derived from univariate analyses of clinical and biological variables between patients and controls, followed by multivariate binary logistic analysis to determine the independent variables associated with SARS-CoV-2 infection.Results605 patients were included between March 10th and April 30th, 2020 (200 patients for the training cohort, 405 consecutive patients for the validation cohort). In the multivariate analysis, lymphocyte (ConclusionsThe PARIS score has a good performance to categorize the pre-test probability of SARS-CoV-2 infection based on complete white blood cell count. It could help clinicians adapt testing and for rapid triage of patients before test results.