Evidence map›Paper›PMID 33527487›Full record

ArticleJournal of leukocyte biology2022

T cell counts and IL-6 concentration in blood of North African COVID-19 patients are two independent prognostic factors for severe disease and death.

Brahim Belaid, Lydia Lamara Mahammad, Belgacem Mihi, Sarah Yasmine Rahali, Asma Djidjeli, Zineb Larab, Lilya Berkani, Ismahane Berkane, Wafa Sayah, Fatma Merah and 13 more

Abstract read
In one paragraph

Article in Journal of leukocyte biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
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  4. Article
  5. Article
  6. Article
  7. Employing T-Cell Memory to Effectively Target SARS-CoV-2.Pathogens (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Interleukin-6 in SARS-CoV-2 induced disease: Interactions and therapeutic applications.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Review
  17. Review
  18. Review
  19. Article
  20. Early Response of CD8+ T Cells in COVID-19 Patients.Journal of personalized medicine · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Brahim BelaidImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Lydia Lamara MahammadImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Belgacem MihiCenter for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Sarah Yasmine RahaliImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Asma DjidjeliImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Zineb LarabImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Lilya BerkaniImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Ismahane BerkaneImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Wafa SayahImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Fatma MerahImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Nouzha Zhor LazliImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Lylia KheddouciImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Ahmed KadiPneumology Department A, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Mourad OualiIntensive Care Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Rachida KhellafiPneumology Department B, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Dalila MekidechePneumology Department C, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Assia KheliouenPneumology Department A, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Soraya AyoubInternal Medicine Department, Béni-Messous, Teaching Hospital, University of Algiers, Algiers, Algeria.
Réda Malek HamidiIntensive Care Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Fawzi DerrarVirology Department, Institut Pasteur d'Algérie, University of Algiers, Algiers, Algeria.
Merzak GharnaoutPneumology Department, Rouiba Hospital, University of Algiers, Algiers, Algeria.
Ines AllamImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.
Réda DjidjikImmunology Department, Béni-Messous Teaching Hospital, University of Algiers, Algiers, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system plays a crucial role in the response against severe acute respiratory syndrome coronavirus 2 with significant differences among patients. The study investigated the relationships between lymphocyte subsets, cytokines, and disease outcomes in patients with coronavirus disease 2019 (COVID-19). The measurements of peripheral blood lymphocytes subsets and cytokine levels were performed by flow cytometry for 57 COVID-19 patients. Patients were categorized into two groups according to the severity of the disease (nonsevere vs. severe). Total lymphocytes, T cells, CD4+ T cells, CD8+ T cells, B cells, and natural killer cells were decreased in COVID-19 patients and statistical differences were found among different severity of illness and survival states (P ˂ 0.01). The levels of IL-6 and IL-10 were significantly higher in severe and death groups and negatively correlated with lymphocyte subsets counts. The percentages of Th17 in the peripheral blood of patients were higher than those of healthy controls whereas the percentages of Th2 were lower. For the severe cases, the area under receiver operating characteristic (ROC) curve of IL-6 was the largest among all the immune parameters (0.964; 95% confidence interval: 0.927-1.000, P < 0.0001). In addition, the preoperative IL-6 concentration of 77.38 pg/ml was the optimal cutoff value (sensitivity: 84.6%, specificity: 100%). Using multivariate logistic regression analysis and ROC curves, IL-6 > 106.44 pg/ml and CD8+ T cell counts <150 cells/μl were found to be associated with mortality. Measuring the immune parameters and defining a risk threshold can segregate patients who develop a severe disease from those with a mild pathology. The identification of these parameters may help clinicians to predict the outcome of the patients with high risk of unfavorable progress of the disease.

Indexed as

Severity of Illness IndexAfrica, NorthernAgedBiomarkersCD8-Positive T-LymphocytesCOVID-19CytokinesFemaleHumansInterleukin-6Kaplan-Meier EstimateLymphocyte CountLymphocyte SubsetsMaleMiddle AgedMultivariate AnalysisBiomarkersCytokinesInterleukin-6COVID-19cytokinesflow cytometrylymphocytesprognosisSARS-CoV2

Identifiers

PMID33527487
PMCPMC8014881

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Registered trials

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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.