Evidence map›Paper›PMID 32908988›Full record

ArticlemedRxiv : the preprint server for health sciences2020

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 and 20 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 48 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 4 institutions in 1 country.

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
Yale University · USAlbert Einstein College of Medicine · USYale New Haven Health System · USBrigham and Women's Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
PREDOCTORAL TRAINING PROGRAM IN MICROBIAL PATHOGENESIST32AI007640 · NIAID · YALE UNIVERSITY · PI GOODMAN, ANDREW L · 2000 to 2022
$4.3M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS T32 AI007640
6 · The paper itself

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.

Identifiers

PMID32908988
PMCPMC7480036
OpenAlexW3082692475

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.