Prognostic Value of Caspase-3 and Cardiac Troponin I in Assessing Cardiovascular Risk in Pediatric COVID-19 and Multisystem Inflammatory Syndrome

Current research has demonstrated that children with severe COVID-19, as well as patients with MIS-C, must undergo careful screening for cardiovascular events that could include biomarkers.

Authors

Institutions

Publication Details

Journal
Journal of Multidisciplinary Healthcare
Published
2025-05-01
DOI
https://doi.org/10.2147/jmdh.s514776
Primary Topic
Inflammasome and immune disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic Value of Caspase-3 and Cardiac Troponin I in Assessing Cardiovascular Risk in Pediatric COVID-19 and Multisystem Inflammatory Syndrome

Sándor G. Vári, Kateryna Kozak, Halyna Pavlyshyn
Journal of Multidisciplinary Healthcare
Inflammasome and immune disorders
article

Prognostic Value of Caspase-3 and Cardiac Troponin I in Assessing Cardiovascular Risk in Pediatric COVID-19 and Multisystem Inflammatory Syndrome

Sándor G. Vári, Kateryna Kozak, Halyna Pavlyshyn
article en

Abstract

Current research has demonstrated that children with severe COVID-19, as well as patients with MIS-C, must undergo careful screening for cardiovascular events that could include biomarkers.

Journal of Multidisciplinary HealthcareVol. Volume 18
Cedars-Sinai Medical Center (US), I.Horbachevsky Ternopil National Medical University (UA)
Cedars-Sinai Medical Center
Good health and well-being
Openalex Percentile: Top 89%
Inflammasome and immune disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.