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A neutrophil activation signature predicts critical illness and mortality in COVID-19
Matthew L. Meizlish; Alexander B. Pine; Jason D. Bishai; George Goshua; Emily R. Nadelmann; Michael Simonov; C-Hong Chang; Hanming Zhang; Marcus Shallow; Parveen Bahel; Kent Owusu; Yu Yamamoto; Tanima Arora; Deepak S. Atri; Amisha Patel; Rana Gbyli; Jennifer Kwan; Christine H. Won; Charles Dela Cruz; Christina Price; Jonathan Koff; Brett A. King; Henry M. Rinder; F. Perry Wilson; John Hwa; Stephanie Halene; William Damsky; David van Dijk; Alfred Ian Lee; Hyung Chun.
Affiliation
  • Matthew L. Meizlish; Yale School of Medicine
  • Alexander B. Pine; Yale School of Medicine
  • Jason D. Bishai; Yale University
  • George Goshua; Yale School of Medicine
  • Emily R. Nadelmann; Albert Einstein College of Medicine
  • Michael Simonov; Yale School of Medicine
  • C-Hong Chang; Yale School of Medicine
  • Hanming Zhang; Yale School of Medicine
  • Marcus Shallow; Yale University
  • Parveen Bahel; Yale School of Medicine
  • Kent Owusu; Yale-New Haven Hospital
  • Yu Yamamoto; Yale School of Medicine
  • Tanima Arora; Yale School of Medicine
  • Deepak S. Atri; Brigham and Women's Hospital
  • Amisha Patel; Yale School of Medicine
  • Rana Gbyli; Yale University
  • Jennifer Kwan; Yale School of Medicine
  • Christine H. Won; Yale School of Medicine
  • Charles Dela Cruz; Yale School of Medicine
  • Christina Price; Yale School of Medicine
  • Jonathan Koff; Yale School of Medicine
  • Brett A. King; Yale School of Medicine
  • Henry M. Rinder; Yale School of Medicine
  • F. Perry Wilson; Yale School of Medicine
  • John Hwa; Yale School of Medicine
  • Stephanie Halene; Yale School of Medicine
  • William Damsky; Yale School of Medicine
  • David van Dijk; Yale School of Medicine
  • Alfred Ian Lee; Yale School of Medicine
  • Hyung Chun; Yale University
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20183897
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
Pathologic immune hyperactivation is emerging as a key feature of critical illness in COVID-19, but the mechanisms involved remain poorly understood. We carried out proteomic profiling of plasma from cross-sectional and longitudinal cohorts of hospitalized patients with COVID-19 and analyzed clinical data from our health system database of over 3,300 patients. Using a machine learning algorithm, we identified a prominent signature of neutrophil activation, including resistin, lipocalin-2, HGF, IL-8, and G-CSF, as the strongest predictors of critical illness. Neutrophil activation was present on the first day of hospitalization in patients who would only later require transfer to the intensive care unit, thus preceding the onset of critical illness and predicting increased mortality. In the health system database, early elevations in developing and mature neutrophil counts also predicted higher mortality rates. Altogether, we define an essential role for neutrophil activation in the pathogenesis of severe COVID-19 and identify molecular neutrophil markers that distinguish patients at risk of future clinical decompensation.
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Cohort_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Cohort_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2020 Document type: Preprint