Evidence map›Paper›PMID 37893102›Full record

ArticleBiomedicines2023

Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course.

Elżbieta Rutkowska, Iwona Kwiecień, Ewa Pietruszka-Wałęka, Ewa Więsik-Szewczyk, Piotr Rzepecki, Karina Jahnz-Różyk

Abstract read
In one paragraph

Article in Biomedicines, 2023. 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. Article
  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

6 authors.

Elżbieta RutkowskaLaboratory of Flow Cytometry, Department of Internal Medicine and Hematology, Military Institute of Medicine Warsaw-National Research Institute, 04-141 Warsaw, Poland.
Iwona KwiecieńLaboratory of Flow Cytometry, Department of Internal Medicine and Hematology, Military Institute of Medicine Warsaw-National Research Institute, 04-141 Warsaw, Poland.ORCID 0000-0003-2266-971X
Ewa Pietruszka-WałękaDepartment of Internal Medicine, Pulmonology, Allergology and Clinical Immunology, Military Institute of Medicine Warsaw-National Research Institute, 04-141 Warsaw, Poland.
Ewa Więsik-SzewczykDepartment of Internal Medicine, Pulmonology, Allergology and Clinical Immunology, Military Institute of Medicine Warsaw-National Research Institute, 04-141 Warsaw, Poland.ORCID 0000-0001-8509-4453
Piotr RzepeckiDepartment of Internal Medicine and Hematology, Military Institute of Medicine Warsaw-National Research Institute, 04-141 Warsaw, Poland.
Karina Jahnz-RóżykDepartment of Internal Medicine, Pulmonology, Allergology and Clinical Immunology, Military Institute of Medicine Warsaw-National Research Institute, 04-141 Warsaw, Poland.ORCID 0000-0002-3505-1858

Funding

Military Institute of Medicine- National Research Institute 0000000592
6 · The paper itself

Abstract

The mechanisms underlying the immune response to coronavirus disease 2019 (COVID-19) and the recovery process have not been fully elucidated. The aim of the study was to analyze leukocyte subpopulations in patients at significant time points (at diagnosis, and 3 and 6 months after infection) selected according to the analysis of changes in the lungs by the CT classification system, considering the severity of the disease. The study groups consisted of severe and non-severe COVID-19 patients. There was a significant decrease in CD8+ T cells, NK and eosinophils, with an increasing percentage of neutrophils during hospitalization. We noticed lower levels of CD4 and CD8 T lymphocytes, eosinophils, basophils, and CD16+ monocytes and elevated neutrophil levels in severe patients relative to non-severe patients. Three months after infection, we observed higher levels of basophils, and after 6 months, higher CD4/CD8 ratios and T cell levels in the severe compared to non-severe group. Non-severe patients showed significant changes in the leukocyte populations studied at time of hospitalization and both within 3 months and 6 months of onset. The CT CSS classification with parameters of the flow cytometry method used for COVID-19 patients determined changes that proved useful in the initial evaluation of patients.

Indexed as

B lymphocytesflow cytometryleukocyteslymphocytesneutrophilsSARS-CoV-2 infectionT lymphocytes

Identifiers

PMID37893102
PMCPMC10604221

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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.