Evidence map›Paper›PMID 41647733›Full record

ArticleJournal of anesthesia and translational medicine2025

Prognostic value of echocardiogram and cardiac biomarkers through three waves of COVID-19.

Yuchen Han, Grace A Long, T 'shura Ali, Kailyn Deitz, Harideep Samanapally, Vidyulata Salunkhe, Fnu Deepti, Emma C Huang, Jahnavi Sunkara, Katherine Cermack and 5 more

Abstract read
In one paragraph

Article in Journal of anesthesia and translational medicine, 2025. 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
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

15 authors.

Yuchen HanDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, 485 E Gray St., Louisville, KY 40202, USA.
Grace A LongDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.
T 'shura AliDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, 501 E Broadway, Louisville, KY 40202, USA.
Kailyn DeitzDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.
Harideep SamanapallyDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, 501 E Broadway, Louisville, KY 40202, USA.
Vidyulata SalunkheDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, 501 E Broadway, Louisville, KY 40202, USA.
Fnu DeeptiDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, 501 E Broadway, Louisville, KY 40202, USA.
Emma C HuangDepartment of Anesthesiology, Duke University, Durham, NC 27710, USA.
Jahnavi SunkaraDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.
Katherine CermackDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.
Justin J HuangDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.
Emilia WangDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.
J Tyson DaviesDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.
Maiying KongDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, 485 E Gray St., Louisville, KY 40202, USA.
Jiapeng HuangDepartment of Anesthesiology & Perioperative Medicine, University of Louisville, 530 S Jackson St., Louisville, KY 40202, USA.

Funding

University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
Research Design, Compliance, and Data Management (RDCD)P20GM155899 · NIGMS · UNIVERSITY OF LOUISVILLE · PI Jon Klein · 2024 to 2026
$9.3M
Low Density Neutrophils Link Inflammation and Coagulopathy in COVID-19R01HL158779 · NHLBI · UNIVERSITY OF LOUISVILLE · PI HUANG, JIAPENG, URIARTE, SILVIA M · 2022 to 2025
$2.9M
Neutrophil Heterogeneity and Immunopathogenesis of COVID-19 ARDSR01AI172873 · NIAID · UNIVERSITY OF LOUISVILLE · PI Jiapeng Huang, Silvia M Uriarte · 2023 to 2026
$2.3M
A Handheld Microchip for GC analysis of breath to screen for COVID-19U18TR003787 · NCATS · UNIVERSITY OF LOUISVILLE · PI FU, XIAO-AN, NANTZ, MICHAEL H · 2021 to 2022
$2.0M
American Heart Association-American Stroke Association 23CSA1052735 - JIAPENG HUANGNCATS NIH HHS U18 TR003787NHLBI NIH HHS R01 HL158779NIAID NIH HHS R01 AI172873NIEHS NIH HHS P30 ES030283NIGMS NIH HHS P20 GM155899
6 · The paper itself

Abstract

Background: COVID-19 has had a significant impact on the scientific field. The multitude of effects this virus has on different organ systems is a continuously expanding range of study. The purpose of this study is to differentiate between the cardiac effects of the three different waves of COVID identified between March 2020- July 2022 using echocardiographic results and the cardiac biomarkers troponin and B-type natriuretic peptide (BNP). By using this information, we can evaluate cardiac impact from COVID-19, which may lead to effects on overall survival. Methods: Information was gathered through eight acute care facilities as part of a multi-center retrospective observational cohort study of patients hospitalized with confirmed SARS-CoV-2, who experienced a cardiovascular event and received an echocardiogram during admission between March 2020 and July 2022. A total of 222 participants were included and divided into 3 waves based on the highest SARS-CoV-2 strain prevalence at the time in Louisville, KY, USA. This consisted of 56 patients in the Original wave 1 (March-July 2020), 143 during the Delta wave 2 (September 2020-March 2021), and 23 during the Omicron wave 3 (January 2022-July 2022). Results: There were statistically significant differences in cardiac functions as indicated by echocardiogram and cardiac biomarkers. The Original wave not only showed the highest intensive care unit (ICU) admission rate of 73.2 %, but it also had a notable left ventricular diastolic dysfunction and the highest BNP levels. The Delta wave had the highest troponin value of 3.1 ng/mL. The left atrial volume of patients in the Omicron wave was significantly lower than in the Original and Delta waves. However, the tricuspid annular place systolic excursion for patients in the Omicron wave was significantly higher than the other two waves. In survival time models correlated with echocardiograph parameters, the Original wave showed significant correlations between left ventricular ejection fraction, left ventricular volume, right ventricular diameter, and survival. Delta wave showed significant correlation between ascending aortic size, right ventricular systolic pressure, right atrial pressure, and survival. the Omicron wave displayed significant correlation between peak troponin levels and survival. Conclusions: COVID-19 variants showed statistically significant impacts on cardiac function and biomarkers. There were significant correaltions between these echocardiographic parameters and biomarkers with survival. These cardiac differences can be used to determine overall severity of disease and provide insight into the level of clinical care indicated in COVID patients.

Indexed as

Cardiac biomarkersCOVID-19EchocardiographySARS-CoV-2 variantsSurvival analysisTroponin

Identifiers

PMID41647733
PMCPMC12872206

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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.