Evidence map›Paper›PMID 34667971›Full record

ArticleAmerican heart journal plus : cardiology research and practice2021

Cardiovascular findings on chest computed tomography associated with COVID-19 adverse clinical outcomes.

Maria Isabel Camara Planek, Max Ruge, Jeanne M Du Fay de Lavallaz, Stella B Kyung, Joanne Michelle D Gomez, Tisha M Suboc, Kim A Williams, Annabelle Santos Volgman, J Alan Simmons, Anupama K Rao

Open access · goldAbstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Correlation between coronary artery calcification and COVID-19.Caspian journal of internal medicine · 2024
    Article
  3. Coronary artery calcification as a predictor of adverse outcomes in patients hospitalized with COVID-19.American heart journal plus : cardiology research and practice · 2023
    Article
  4. Review
  5. 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

10 authors at 3 institutions in 1 country.

Maria Isabel Camara PlanekDepartment of Internal Medicine, Rush University Medical Center, Chicago, IL, United States of America.
Max RugeDepartment of Internal Medicine, Thomas Jefferson University, Philadelphia, PA, United States of America.
Jeanne M Du Fay de LavallazDivision of Cardiology, Rush University Medical Center, Chicago, IL, United States of America.
Stella B KyungDivision of Cardiology, Loyola University Medical Center, Chicago, IL, United States of America.
Joanne Michelle D GomezDivision of Cardiology, Rush University Medical Center, Chicago, IL, United States of America.
Tisha M SubocDivision of Cardiology, Rush University Medical Center, Chicago, IL, United States of America.
Kim A WilliamsDivision of Cardiology, Rush University Medical Center, Chicago, IL, United States of America.
Annabelle Santos VolgmanDivision of Cardiology, Rush University Medical Center, Chicago, IL, United States of America.
J Alan SimmonsDepartment of Research Core, Rush University Medical Center, Chicago, IL, United States of America.
Anupama K RaoDivision of Cardiology, Rush University Medical Center, Chicago, IL, United States of America.
Rush University Medical Center · USLoyola University Medical Center · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveChest computed tomography (chest CT) is routinely obtained to assess disease severity in COVID-19. While pulmonary findings are well-described in COVID-19, the implications of cardiovascular findings are less well understood. We evaluated the impact of cardiovascular findings on chest CT on the adverse composite outcome (ACO) of hospitalized COVID-19 patients. SETTING/

participants245 COVID-19 patients who underwent chest CT at Rush University Health System were included.

designCardiovascular findings, including coronary artery calcification (CAC), aortic calcification, signs of right ventricular strain [right ventricular to left ventricular diameter ratio, pulmonary artery to aorta diameter ratio, interventricular septal position, and inferior vena cava (IVC) reflux], were measured by trained physicians. INTERVENTIONS/

main outcome measuresThese findings, along with pulmonary findings, were analyzed using univariable logistic analysis to determine the risk of ACO defined as intensive care admission, need for non-invasive positive pressure ventilation, intubation, in-hospital and 60-day mortality. Secondary endpoints included individual components of the ACO.

resultsAortic calcification was independently associated with an increased risk of the ACO (odds ratio 1.86, 95% confidence interval (1.11-3.17)

conclusionIncidental cardiovascular findings on chest CT are clinically important imaging markers in COVID-19. It is important to ascertain and routinely report cardiovascular findings on CT imaging of COVID-19 patients as they have potential to identify high risk patients.

Indexed as

Ao, aortaAortic calcificationCAC, coronary artery calcificationCAD, coronary artery diseaseChest computed tomographyCI, confidence intervalsCoronary artery calcificationCOVID-19CT, computed tomographyCVD, cardiovascular diseaseECMO, extracorporeal membrane oxygenationICU, intensive care unitIVC, inferior vena cavaLV, left ventricularMACE, major adverse cardiovascular eventsPA, pulmonary arteryRight ventricular strainRV, right ventricular

Identifiers

PMID34667971
PMCPMC8511552
OpenAlexW3206249493

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.