Evidence map›Paper›PMID 36779177›Full record

ArticleAmerican heart journal plus : cardiology research and practice2023

Site-level variability in the processes of care and outcomes over time among patients with COVID-19 and myocardial injury: Insights from the American Heart Association's COVID-19 Cardiovascular Disease Registry.

Yasser M Sammour, John A Spertus, Kevin Kennedy, David A Morrow, Lori B Daniels, Phil Jones, Heather Alger, Laura Stevens, Alpesh Shah, Sachin S Goel and 4 more

Open access · goldAbstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2023. 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
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

14 authors at 9 institutions in 1 country.

Yasser M SammourHouston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
John A SpertusSaint Luke's Mid America Heart Institute and the University of Missouri-Kansas City, Kansas City, MO, USA.
Kevin KennedySaint Luke's Mid America Heart Institute and the University of Missouri-Kansas City, Kansas City, MO, USA.
David A MorrowCardovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Lori B DanielsUniversity of California San Diego, La Jolla, CA, USA.
Phil JonesSaint Luke's Mid America Heart Institute and the University of Missouri-Kansas City, Kansas City, MO, USA.
Heather AlgerNational Director Data Solutions & Research Quality and Health IT, American Heart Association, USA.
Laura StevensNational Director Data Solutions & Research Quality and Health IT, American Heart Association, USA.
Alpesh ShahHouston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
Sachin S GoelHouston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
James A de LemosUniversity of Texas Southwestern Medical Center, Dallas, TX, USA.
Salim S HayekDivision of Cardiovascular Medicine, Michigan Medicine, Ann Arbor, MI, USA.
Nadia R SuttonVanderbilt University Medical Center, Nashville, TN, USA.
Neal S KleimanHouston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
Houston Methodist · USAmerican Heart Association · USSaint Luke's Hospital · USBrigham and Women's Hospital · USMichigan Medicine · USThe University of Texas Southwestern Medical Center · USUniversity of California, San Diego · USUniversity of Missouri–Kansas City · USVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elevated cardiac troponin (cTn) levels in patients with COVID-19 has been associated with worse outcomes. Guidelines on best practices of those patients remain uncertain. Methods: We included patients with COVID-19 and cTn above the assay-specific upper limit of normal (ULN) enrolled in the American Heart Association's COVID-19 registry between March 2020-January 2021. Site-level variability in invasive coronary angiography, LVEF assessment, ICU utilization, and inpatient mortality were determined by calculating adjusted median odds ratio (MOR) using hierarchical logistic regression models. Temporal trends were assessed with Cochran-Armitage trend test. Results: Among 32,636 patients, we included 6234 (19.4 %) with cTn above ULN (age 68.7 ± 16.0 years, 56.5 % male, 51.5 % Caucasian), of whom 1365 (21.6 %) had ≥5-fold elevations. Across 55 sites, the median rate of invasive coronary angiography was 0.1 % with adjusted MOR 1.5(1.0,2.3), median LVEF assessment was 25.5 %, MOR 3.0(2.2,3.9), ICU utilization was 41.7 %, MOR 2.2(1.8,2.6), and mortality was 20.9 %, MOR 1.7(1.5,2.0). Over time, we noted a significant increase in invasive coronary angiography (p-trend = 0.001), and LVEF assessment (p-trend<0.001), and reduction in mortality (p-trend<0.001), without significant change in ICU admissions (p-trend = 0.08). Similar variability and temporal trends were seen among patients with ≥5-fold cTn elevation. Conclusions: The use of invasive coronary angiography among patients with COVID-19 and myocardial injury was very low during the early pandemic. We found moderate institutional variability in processes of care with an uptrend in invasive catheterization and LVEF assessment, and downtrend in mortality. Comparative effectiveness studies are needed to examine whether variability in care is associated with differences in outcomes.

Indexed as

AHA COVID-19 CVD registryCoronary angiographyCOVID-19Myocardial injuryTroponin elevation

Identifiers

PMID36779177
PMCPMC9894823
OpenAlexW4319159396

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.