Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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TERMINATED
42 participants
OBSERVATIONAL
2020-09-01
2023-05-20
Brief Summary
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Detailed Description
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Table: Enrollment strata by hs-cTnT (N=70)
hs-cTnT \[ng/L\] \< 50 50-100 101-500 \> 500
Enrollment N=20 N=20 N=20 N=10
The investigators propose the following exploratory protocol for deep phenotyping to characterize surviving patients with COVID-19 and elevated hs-cTnT during hospitalization.
All participants will undergo a protocolized multiparametric cardiac magnetic resonance imaging (CMR) assessment with an electrocardiography-gated breath hold protocol under the oversight of study personnel and read by a reader blinded to hs-cTnT data from the COVID-19 index hospitalization. Conventional 1H CMR evaluations will include T2 maps, native and post-contrast T1 maps, as well as extracellular volume index calculation and late gadolinium for inflammatory injury. Standardized adenosine hyperemic stress perfusion CMR will be performed for quantitative myocardial blood flow analysis. In addition to conventional 1H CMR a subset of 5 patients from the highest and lowest troponin groups, age- and BMI-matched, will undergo hyperpolarized 13C metabolic CMR with infusion of \[1-13C\] pyruvate under fasting conditions to assess inflammation and post carbohydrate load to assess a decrease in myocardial mitochondrial oxidative metabolism.
Biospecimens will be collected by study personnel at the time of CMR or preliminary study site visit. A fasting venous blood sample (50 cc) will be collected, maintained on ice and transported to the Mammen Laboratory, which is located on the campus of UT Southwestern. Both serum and plasma will be isolated and aliquoted for storage and immediately frozen and stored until use and will not undergo any freeze-thaw cycles. RNA and protein will be extracted from the samples for biomarker and autoantibody (AAb) assays. The presence of cardiac-specific AAbs has been shown to be involved in both the manifestation and development of cardiac disease manifestation and predicting disease development. Utilizing a customized ELISA-based detection assay, \~20 circulating cardiac-specific AAbs that have been reported to be associated with heart failure will be assessed and quantified during the early (1-2 months post-hospitalization) phases of the patient post COVID-19 hospitalization course.
Leukocytes will be isolated from the biospecimens samples and genomic DNA will be extracted from the cells to perform Next Generation Whole Exome Sequencing (WES). These studies will be undertaken in the Next-Generation Sequencing Core on campus. Capitalizing on a well-established research collaboration between the Mammen Laboratory and the McDermott bioinformatics group, the WES data will be analyzed for genetic mutations associated with cardiomyopathy as well as autoimmunity.
If funds are available, both the imaging and molecular assessments will be duplicated in individuals with paired data after an additional 10-12 months from hospitalization.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
* Were alive at the time of discharge from COVID-19 hospitalization
* Had measured hs-cTnT levels during hospitalization
Exclusion Criteria
* Urgent-coronary revascularization or type I myocardial infarction within the preceding 30 days
* Cardiac transplantation
* Body weight \>250 lbs
* Moderate to severe chronic renal dysfunction defined by an eGFR ≤30 mL/min/1.73 m2
* Inability to safely undergo a CMR
* Unwilling or unable to provide informed consent
18 Years
80 Years
ALL
No
Sponsors
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University of Texas Southwestern Medical Center
OTHER
Responsible Party
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Justin Grodin
Assistant Professor
Principal Investigators
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Justin L Grodin, MD, MPH
Role: PRINCIPAL_INVESTIGATOR
UT Southwestern Medical Center at Dallas
Locations
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University of Texas Southwestern Medical Center
Dallas, Texas, United States
Countries
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Other Identifiers
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STU-2020-0359
Identifier Type: -
Identifier Source: org_study_id
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