Evidence map›Paper›PMID 35735762›Full record

ArticleInfectious disease reports2022

COVID-19 Variants in Critically Ill Patients: A Comparison of the Delta and Omicron Variant Profiles.

Alberto Corriero, Mario Ribezzi, Federica Mele, Carmelinda Angrisani, Fabio Romaniello, Antonio Daleno, Daniela Loconsole, Francesca Centrone, Maria Chironna, Nicola Brienza

Abstract read
In one paragraph

Article in Infectious disease reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Association of coinfections with differences in outcomes across COVID-19 variants.Proceedings (Baylor University. Medical Center) · 2024
    Article
  14. IL-6 and SAA-Strong Predictors for the Outcome in COVID-19 CKD Patients.International journal of molecular sciences · 2023
    Article
  15. Article
  16. Article
  17. Long-term interplay between COVID-19 and chronic kidney disease.International urology and nephrology · 2023
    Review
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  19. Observational
  20. Von Willebrand factor and the thrombophilia of severe COVID-19:Research and practice in thrombosis and haemostasis · 2023
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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.

Alberto CorrieroUnit of Anesthesia and Resuscitation, University of Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.ORCID 0000-0002-9760-9394
Mario RibezziDepartment of Interdisciplinary Medicine-Intensive Care Unit Section, University of Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.
Federica MeleDepartment of Interdisciplinary Medicine-Section of Legal Medicine, Policlinico di Bari Hospital, University of Bari, 70124 Bari, Italy.ORCID 0000-0003-4289-8907
Carmelinda AngrisaniDepartment of Interdisciplinary Medicine-Section of Legal Medicine, Policlinico di Bari Hospital, University of Bari, 70124 Bari, Italy.
Fabio RomanielloDepartment of Biomedical Science and Human Oncology, University of Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.
Antonio DalenoHospital Direction, Azienda Universitaria Ospedaliera Consorziale Policlinico Bari, Piazza G. Cesare 11, 70124 Bari, Italy.
Daniela LoconsoleDepartment of Interdisciplinary Medicine-Hygiene Section, University of Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.ORCID 0000-0003-2057-9745
Francesca CentroneDepartment of Interdisciplinary Medicine-Hygiene Section, University of Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.ORCID 0000-0003-3018-5408
Maria ChironnaDepartment of Interdisciplinary Medicine-Hygiene Section, University of Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.ORCID 0000-0002-1043-1256
Nicola BrienzaDepartment of Interdisciplinary Medicine-Intensive Care Unit Section, University of Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease is a pandemic that has disrupted many human lives, threatening people's physical and mental health. Each pandemic wave struck in different ways, infectiveness-wise and mortality-wise. This investigation focuses on critically ill patients affected by the last two variants, Delta and Omicron, and aims to analyse if any difference exists between the two groups.

methodsintensive care unit (ICU) COVID-19 consecutive admissions between 1 October 2021 and 31 March 2022 were recorded daily, and data concerning the patients' demographics, variants, main comorbidities, ICU parameters on admission, and the outcome were analysed by a univariate procedure and by a multivariate analysis.

results65 patients were enrolled, 31 (47.69%) belonging to the Omicron versus 34 (52.31%) to the Delta group. The mortality rate was 52.94% for the Omicron group versus 41.9% for the Delta group. A univariate analysis showed that the Omicron variant was associated with total comorbidities number, Charlson Comorbidity Index (CCI), pre-existing pulmonary disease, vaccination status, and acute kidney injury (AKI). In stepwise multivariate analysis, the total number of comorbidities was positively associated with the Omicron group, while pulmonary embolism was negatively correlated with the Omicron group.

conclusionOmicron appears to have lost some of the hallmarks of the Delta variant, such as endothelialitis and more limited cellular tropism when it comes to the patients in the ICU. Further studies are encouraged to explore different therapeutic approaches to treat critical patients with COVID-19.

Indexed as

COVID-19COVID-19 variantsdeltadisease severityendothelial dysfunctionICUomicronSARS-CoV-1SARS-CoV-2

Identifiers

PMID35735762
PMCPMC9222818

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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.