Evidence map›Paper›PMID 42317392›Full record

ArticleFrontiers in epidemiology2026

In-hospital cardiovascular outcomes of COVID-19-associated cytokine storm: a population-level study.

Rajveer Sagoo, Navraj S Sagoo, Paul Murdock, Mohanakrishnan Sathyamoorthy

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Rajveer Sagoo *Sathyamoorthy Lab, Department of Internal Medicine, Burnett School of Medicine at Texas, Christian University, Fort Worth, TX, United States.
Navraj S Sagoo *Sathyamoorthy Lab, Department of Internal Medicine, Burnett School of Medicine at Texas, Christian University, Fort Worth, TX, United States.
Paul MurdockSathyamoorthy Lab, Department of Internal Medicine, Burnett School of Medicine at Texas, Christian University, Fort Worth, TX, United States.
Mohanakrishnan SathyamoorthySathyamoorthy Lab, Department of Internal Medicine, Burnett School of Medicine at Texas, Christian University, Fort Worth, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In severe COVID-19, hyperinflammatory "Cytokine Storm" (CS) can escalate disease severity, yet large-scale data on its cardiovascular impacts remain limited. Objective: To assess the influence of CS severity on in-hospital cardiovascular outcomes and mortality in COVID-19 patients. Methods: A retrospective analysis of the 2021 National Inpatient Sample (NIS) was performed, including adults (≥18 years) hospitalized with a principal COVID-19 diagnosis (ICD-10: U07.1), while excluding other hyperinflammatory conditions. CS was identified and categorized into four severity grades (ICD-10: D89.83). Multivariable logistic regression was utilized to assess associations between CS severity and in-hospital outcomes. Results: In a weighted cohort of 1,428,892 hospitalized adults with COVID-19, 15,290 (1.1%) had CS. Mortality rose from 8.3% in non-CS patients to 26.9% in grade 4 (adjusted odds ratio [aOR] 3.334; 95% CI [2.810-3.956]), accompanied by increases in cardiac arrest (1.7%-4.4%; aOR 1.742; [1.234-2.459]) and venous thromboembolism (4.8%-9.4%; aOR 1.739; [1.369-2.210]) ( Conclusion: Within this cohort, advanced CS demonstrated an association with increased mortality and select cardiovascular complications in hospitalized COVID-19 patients; Moreover, certain events, such as arrhythmias and heart failure, showed nuanced patterns, underscoring the complex interplay between hyperinflammation and cardiac pathophysiology.

Indexed as

cardiovascularCOVID-19cytokine stormmortalitynational inpatient sample

Identifiers

PMID42317392
PMCPMC13272423

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