Evidence map›Paper›PMID 33182268›Full record

ArticleViruses2020

CD4 and CD8 Lymphocyte Counts as Surrogate Early Markers for Progression in SARS-CoV-2 Pneumonia: A Prospective Study.

Joan Calvet, Jordi Gratacós, María José Amengual, Maria Llop, Marta Navarro, Amàlia Moreno, Antoni Berenguer-Llergo, Alejandra Serrano, Cristóbal Orellana, Manel Cervantes

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

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  13. Evaluation of the Levels of Peripheral CD3Microbiology spectrum · 2022
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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

10 authors at 2 institutions in 1 country.

Joan CalvetRheumatology Department, Parc Taulí University Hospital, I3PT Research Institute (UAB), Universitat Autónoma de Barcelona (UAB), 08208 Sabadell, Spain.ORCID 0000-0002-0888-5152
Jordi GratacósRheumatology Department, Parc Taulí University Hospital, I3PT Research Institute (UAB), Universitat Autónoma de Barcelona (UAB), 08208 Sabadell, Spain.ORCID 0000-0003-4007-4103
María José AmengualImmunology Unit UDIAT, Parc Taulí University Hospital. I3PT Research Institute (UAB), 08208 Sabadell, Spain.
Maria LlopRheumatology Department, Parc Taulí University Hospital, I3PT Research Institute (UAB), Universitat Autónoma de Barcelona (UAB), 08208 Sabadell, Spain.ORCID 0000-0001-5581-0965
Marta NavarroInfectious Disease Department, Parc Taulí University Hospital. I3PT Research Institute (UAB), 08208 Sabadell, Spain.
Amàlia MorenoPneumology Department, Parc Taulí University Hospital, I3PT Research Institute (UAB), 08208 Sabadell, Spain.
Antoni Berenguer-LlergoBiostatistics and Bioinformatics Unit, Institute for Research in Biomedicine Barcelona (IRB Barcelona), 08028 Barcelona, Spain.ORCID 0000-0002-3742-8161
Alejandra SerranoResearch Biology Unit, I3PT Research Institute (UAB), 08208 Sabadell, Spain.
Cristóbal OrellanaRheumatology Department, Parc Taulí University Hospital, I3PT Research Institute (UAB), Universitat Autónoma de Barcelona (UAB), 08208 Sabadell, Spain.
Manel CervantesInfectious Disease Department, Parc Taulí University Hospital. I3PT Research Institute (UAB), 08208 Sabadell, Spain.
Universitat Autònoma de Barcelona · ESInstitute for Research in Biomedicine · ES

Funding

Sociedad Española Reumatologia Grant 2017Societat Catalana Reumatologia Grant 2015-2017
6 · The paper itself

Abstract

backgroundCOVID-19 pathophysiology and the predictive factors involved are not fully understood, but lymphocytes dysregulation appears to play a role. This paper aims to evaluate lymphocyte subsets in the pathophysiology of COVID-19 and as predictive factors for severe disease. PATIENT AND

methodsA prospective cohort study of patients with SARS-CoV-2 bilateral pneumonia recruited at hospital admission. Demographics, medical history, and data regarding SARS-CoV-2 infection were recorded. Patients systematically underwent complete laboratory tests, including parameters related to COVID-19 as well as lymphocyte subsets study at the time of admission. Severe disease criteria were established at admission, and patients were classified on remote follow-up according to disease evolution. Linear regression models were used to assess associations with disease evolution, and Receiver Operating Characteristic (ROC) and the corresponding Area Under the Curve (AUC) were used to evaluate predictive values.

resultsPatients with critical COVID-19 showed a decrease in CD3+CD4+ T cells count compared to non-critical (278 (485 IQR) vs. 545 (322 IQR)), a decrease in median CD4+/CD8+ ratio (1.7, (1.7 IQR) vs. 3.1 (2.4 IQR)), and a decrease in median CD4+MFI (21,820 (4491 IQR) vs. 26,259 (3256 IQR)), which persisted after adjustment. CD3+CD8+ T cells count had a high correlation with time to hospital discharge (PC = -0.700 (-0.931, -0.066)). ROC curves for predictive value showed lymphocyte subsets achieving the best performances, specifically CD3+CD4+ T cells (AUC = 0.756), CD4+/CD8+ ratio (AUC = 0.767), and CD4+MFI (AUC = 0.848).

conclusionsA predictive value and treatment considerations for lymphocyte subsets are suggested, especially for CD3CD4+ T cells. Lymphocyte subsets determination at hospital admission is recommended.

Indexed as

AgedArea Under CurveBiomarkersCD4-CD8 RatioCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCOVID-19Disease ProgressionFemaleHumansLungLymphocyte CountLymphocyte SubsetsMaleMiddle AgedPatient DischargeBiomarkersCD4+ T cellsCOVID-19lymphocyte subsetspredictive valueseverity

Identifiers

PMID33182268
PMCPMC7695272
OpenAlexW3099681617

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.