Evidence map›Paper›PMID 39592832›Full record

ArticleCommunications medicine2024

Application of machine learning algorithms to identify serological predictors of COVID-19 severity and outcomes.

Santosh Dhakal, Anna Yin, Marta Escarra-Senmarti, Zoe O Demko, Nora Pisanic, Trevor S Johnston, Maria Isabel Trejo-Zambrano, Kate Kruczynski, John S Lee, Justin P Hardick and 18 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Santosh Dhakal *W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Anna Yin *W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Marta Escarra-Senmarti *Division of Rheumatology, Johns Hopkins School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-3134-5568
Zoe O DemkoDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Nora PisanicDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Trevor S JohnstonDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-8662-541X
Maria Isabel Trejo-ZambranoDivision of Rheumatology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Kate KruczynskiDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
John S LeeW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Justin P HardickDivision of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Patrick SheaW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Janna R ShapiroW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Han-Sol ParkW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Maclaine A ParishW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Christopher CaputoW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Abhinaya GanesanW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sarika K MullapudiDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-9257-2959
Stephen J GouldDepartment of Biological Chemistry, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Michael J BetenbaughDepartment of Chemical and Biomolecular Engineering, Advanced Mammalian Biomanufacturing Innovation Center, Johns Hopkins University, Baltimore, MD, USA.
Andrew PekoszW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3248-1761
Christopher D HeaneyDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3211-8495
Annukka A R AntarDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6775-1103
Yukari C ManabeW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-8619-5598
Andrea L CoxW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-9331-2462
Andrew H KarabaDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-2785-317X
Felipe AndradeDivision of Rheumatology, Johns Hopkins School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3415-0704
Scott L ZegerDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sabra L KleinW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. sklein2@jhu.edu.ORCID http://orcid.org/0000-0002-0730-5224

Funding

Virology Resource CoreU54CA260492 · NCI · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L, KLEIN, SABRA L. · 2020 to 2024
$10.4M
NCI NIH HHS U54 CA260492U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U54CA260492
6 · The paper itself

Abstract

backgroundCritically ill hospitalized patients with COVID-19 have greater antibody titers than those with mild to moderate illness, but their association with recovery or death from COVID-19 has not been characterized.

methodsIn a cohort study of 178 COVID-19 patients, 73 non-hospitalized and 105 hospitalized patients, mucosal swabs and plasma samples were collected at hospital enrollment and up to 3 months post-enrollment (MPE) to measure virus RNA, cytokines/chemokines, binding antibodies, ACE2 binding inhibition, and Fc effector antibody responses against SARS-CoV-2. The association of demographic variables and more than 20 serological antibody measures with intubation or death due to COVID-19 was determined using machine learning algorithms.

resultsPredictive models reveal that IgG binding and ACE2 binding inhibition responses at 1 MPE are positively and anti-Spike antibody-mediated complement activation at enrollment is negatively associated with an increased probability of intubation or death from COVID-19 within 3 MPE.

conclusionsAt enrollment, serological antibody measures are more predictive than demographic variables of subsequent intubation or death among hospitalized COVID-19 patients.

Identifiers

PMID39592832
PMCPMC11599591

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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.