Evidence map›Paper›PMID 35313387›Full record

ArticleAnnals of clinical and translational neurology2022

Prognostic value of serum/plasma neurofilament light chain for COVID-19-associated mortality.

Ruturaj R Masvekar, Peter Kosa, Kimberly Jin, Kerry Dobbs, Michael A Stack, Riccardo Castagnoli, Virginia Quaresima, Helen C Su, Luisa Imberti, Luigi D Notarangelo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 6% of its field
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Ruturaj R MasvekarNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Peter KosaNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Kimberly JinNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Kerry DobbsNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Michael A StackNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Riccardo CastagnoliNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.ORCID 0000-0003-0029-9383
Virginia QuaresimaCREA Laboratory (AIL Center for Hemato-Oncologic Research), Diagnostic Department, ASST Spedali Civili di Brescia, Brescia, Italy.
Helen C SuNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Luisa ImbertiCREA Laboratory (AIL Center for Hemato-Oncologic Research), Diagnostic Department, ASST Spedali Civili di Brescia, Brescia, Italy.
Luigi D NotarangeloNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Bibiana BielekovaNational Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.ORCID 0000-0002-0959-9430
National Institutes of Health · USAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · IT

Funding

Comprehensive multimodal analysis of patients with neuroimmunological diseasesZIAAI001242 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BIELEKOVA, BIBIANA · 2019 to 2025
$12.9M
Host factors contributing to susceptibility to COVID-19 diseaseZIAAI001265 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI SU, HELEN CHUN-HUI · 2020 to 2025
$9.5M
Characterization of host immune responses to SARS-CoV-2ZIAAI001270 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NOTARANGELO, LUIGI · 2020 to 2025
$1.2M
6 · The paper itself

Abstract

objectiveGiven the continued spread of coronavirus 2, the early predictors of coronavirus disease 19 (COVID-19) associated mortality might improve patients' outcomes. Increased levels of circulating neurofilament light chain (NfL), a biomarker of neuronal injury, have been observed in severe COVID-19 patients. We investigated whether NfL provides non-redundant clinical value to previously identified predictors of COVID-19 mortality.

methodsWe measured serum or plasma NfL concentrations in a blinded fashion in 3 cohorts totaling 338 COVID-19 patients.

resultsIn cohort 1, we found significantly elevated NfL levels only in critically ill COVID-19 patients. Longitudinal cohort 2 data showed that NfL is elevated late in the course of the disease, following the two other prognostic markers of COVID-19: decrease in absolute lymphocyte count (ALC) and increase in lactate dehydrogenase (LDH). Significant correlations between ALC and LDH abnormalities and subsequent rise of NfL implicate that the multi-organ failure is the most likely cause of neuronal injury in severe COVID-19 patients. The addition of NfL to age and gender in cohort 1 significantly improved the accuracy of mortality prediction and these improvements were validated in cohorts 2 and 3.

interpretationA substantial increase in serum/plasma NfL reproducibly enhanced COVID-19 mortality prediction. Combined with other prognostic markers, such as ALC and LDH that are routinely measured in ICU patients, NfL measurements might be useful to identify the patients at a high risk of COVID-19-associated mortality, who might still benefit from escalated care.

Indexed as

COVID-19BiomarkersCohort StudiesHumansIntermediate FilamentsPrognosisBiomarkers

Identifiers

PMID35313387
PMCPMC9082006
OpenAlexW4221028921

What OpenQuestion holds

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LicenceCC BY
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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.