Evidence map›Paper›PMID 38221582›Full record

ArticleEuropean radiology2024

Coronary inflammation on chest computed tomography and COVID-19 mortality.

Domenico Tuttolomondo, Andrea Ticinesi, Damini Dey, Chiara Martini, Antonio Nouvenne, Maria Nicastro, Massimo De Filippo, Nicola Sverzellati, Francesco Nicolini, Tiziana Meschi and 1 more

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Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
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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

11 authors.

Domenico Tuttolomondo *Cardiology Unit, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy.
Andrea Ticinesi *Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, Italy.
Damini DeyCedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.
Chiara MartiniDepartment of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, Italy. MartiniC@ao.pr.it.ORCID http://orcid.org/0000-0002-0877-4954
Antonio NouvenneGeriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy.
Maria NicastroDepartment of Medicine and Surgery, University of Parma and Unit of Occupational Medicine and Industrial Toxicology, University Hospital of Parma, 43121, Parma, Italy.
Massimo De FilippoDepartment of Medicine and Surgery, Section of Radiology, University of Parma, Maggiore Hospital, Via Gramsci 14, 43125, Parma, Italy.
Nicola SverzellatiDiagnostic Department, Azienda Ospedaliero-Universitaria di Parma, Via Gramsci 14, 43126, Parma, Italy.
Francesco NicoliniDepartment of Cardiac Surgery, Parma University Hospital, Via Gramsci 14, 43126, Parma, Italy.
Tiziana MeschiDepartment of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, Italy.
Nicola GaibazziCardiology Unit, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe main factors associated with coronavirus disease-19 (COVID-19) mortality are age, comorbidities, pattern of inflammatory response, and SARS-CoV-2 lineage involved in infection. However, the clinical course of the disease is extremely heterogeneous, and reliable biomarkers predicting adverse prognosis are lacking. Our aim was to elucidate the prognostic role of a novel marker of coronary artery disease inflammation, peri-coronary adipose tissue attenuation (PCAT), available from high-resolution chest computed tomography (HRCT) in COVID-19 patients with severe disease requiring hospitalization.

methodsTwo distinct groups of patients were admitted to Parma University Hospital in Italy with COVID-19 in March 2020 and March 2021 (first- and third-wave peaks of the COVID-19 pandemic in Italy, with the prevalence of wild-type and B.1.1.7 SARS-CoV-2 lineage, respectively) were retrospectively enrolled. The primary endpoint was in-hospital mortality. Demographic, clinical, laboratory, HRCT data, and coronary artery HRCT features (coronary calcium score and PCAT attenuation) were collected to show which variables were associated with mortality.

resultsAmong the 769 patients enrolled, 555 (72%) were discharged alive, and 214 (28%) died. In multivariable logistic regression analysis age (p < 0.001), number of chronic illnesses (p < 0.001), smoking habit (p = 0.006), P/F ratio (p = 0.001), platelet count (p = 0.002), blood creatinine (p < 0.001), non-invasive mechanical ventilation (p < 0.001), HRCT visual score (p < 0.001), and PCAT (p < 0.001), but not the calcium score, were independently associated with in-hospital mortality.

conclusionCoronary inflammation, measured with PCAT on non-triggered HRCT, appeared to be independently associated with higher mortality in patients with severe COVID-19, while the pre-existent coronary atherosclerotic burden was not associated with adverse outcomes after adjustment for covariates. CLINICAL RELEVANCE STATEMENT: The current study demonstrates that a relatively simple measurement, peri-coronary adipose tissue attenuation (PCAT), available ex-post from standard high-resolution computed tomography, is strongly and independently associated with in-hospital mortality. KEY POINTS: • Coronary inflammation can be measured by the attenuation of peri-coronary adipose tissue (PCAT) on high-resolution CT (HRCT) without contrast media. • PCAT is strongly and independently associated with in-hospital mortality in SARS-CoV-2 patients. • PCAT might be considered an independent prognostic marker in COVID-19 patients if confirmed in other studies.

Indexed as

Coronary Artery DiseaseCOVID-19Hospital MortalityTomography, X-Ray ComputedAdipose TissueAgedFemaleHumansInflammationItalyMaleMiddle AgedPrognosisRetrospective StudiesSARS-CoV-2Adipose tissueCoronaryCOVID-19Hospital mortalityInflammation

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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.