Evidence map›Paper›PMID 39779630›Full record

Observational studyNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Blood neurofilament light chain and S100B as biomarkers of neurological involvement and functional prognosis in COVID-19: a multicenter study.

Francesca Bisulli, Lorenzo Muccioli, Lisa Taruffi, Roberta Bedin, Silvia Felici, Corrado Zenesini, Flavia Baccari, Mauro Gentile, Niccolò Orlandi, Simone Rossi and 12 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Francesca BisulliIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Lorenzo MuccioliIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy. lorenzo.muccioli@gmail.com.ORCID http://orcid.org/0000-0001-6827-0099
Lisa TaruffiDepartment of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Roberta BedinDepartment of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Silvia FeliciDipartimento Interaziendale Ad Attività Integrata Medicina Di Laboratorio E Anatomia Patologica (DIIMLAP), AUSL Modena, Modena, Italy.
Corrado ZenesiniIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Flavia BaccariIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Mauro GentileIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Niccolò OrlandiDepartment of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Simone RossiIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Marianna NicodemoIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Fabio d'AchilleDipartimento Interaziendale Ad Attività Integrata Medicina Di Laboratorio E Anatomia Patologica (DIIMLAP), AUSL Modena, Modena, Italy.
Pierluigi VialeIRCCS Azienda Ospedaliero Universitaria Di Bologna, Bologna, Italy.
Stefania ZaccaroniAzienda USL Di Bologna, Bologna, Italy.
Raffaele LodiIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Rocco LiguoriIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Andrea ZiniIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Maria GuarinoIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Pietro CortelliIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Ospedale Bellaria, Via Altura 3, 40139, Bologna, Italy.
Tiziana LazzarottoIRCCS Azienda Ospedaliero Universitaria Di Bologna, Bologna, Italy.
Damir JanigroFloTBI Inc., Cleveland, OH, USA.
Stefano MelettiDepartment of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimCOVID-19 is associated with neurological complications, termed neuro-COVID, affecting patient outcomes. We aimed to evaluate the association between serum neurofilament light chain (NfL) and S100B biomarkers with the presence of neurological manifestations and functional prognosis in COVID-19 patients.

methodsA multicenter prospective cohort study was conducted in three hospitals in the Emilia-Romagna region, Italy, from March 2020 to April 2022. Hospitalized patients with PCR-confirmed COVID-19 were enrolled. Serum S100B and NfL levels were measured in the acute or subacute phase after admission. Diagnostic accuracy was assessed using receiver operating characteristic (ROC) analyses. Statistical analyses were performed to evaluate the association between biomarkers, clinical/laboratory variables, and prognosis, specifically focusing on worsening of the modified Rankin Scale (mRS) from admission to discharge.

resultsA total of 279 patients (153 males, median age 76.7 years) were included. Among them, 69 (24.7%) developed neuro-COVID. Serum NfL levels were significantly higher in the neuro-COVID group (median 110 vs 68.3; p = 0.035) and correlated with severe encephalopathy and extracranial neurologic manifestations. The ROC analysis showed low accuracy in the discrimination between the two groups for both NfL and S100B. Key predictors of worsening mRS included mechanical ventilation (OR = 9.56, 95% CI = 1.67-54.75; p = 0.011), severe encephalopathy (OR = 5.10, 95% CI = 1.58-16.19; p = 0.006), and elevated S100B levels (OR = 2.62, 95% CI = 1.10-6.46; p = 0.037).

conclusionsSerum NfL and S100B biomarkers were not accurate in discriminating neuro-COVID patients, however NfL levels were associated with severe and extracranial neuro-COVID, while S100B with functional outcomes, potentially informing clinical management.

Indexed as

COVID-19Nervous System DiseasesNeurofilament ProteinsS100 Calcium Binding Protein beta SubunitAgedAged, 80 and overBiomarkersFemaleHumansItalyMaleMiddle AgedPrognosisProspective StudiesBiomarkersneurofilament protein LNeurofilament ProteinsS100B protein, humanS100 Calcium Binding Protein beta SubunitBiomarkerNeuro-COVIDNfLPrognosisS100BSARS-CoV-2

Identifiers

PMID39779630
PMCPMC11772546

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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.