Investigation of hs-TnI and sST-2 as Potential Predictors of Long-Term Cardiovascular Risk in Patients with Survived Hospitalization for COVID-19 Pneumonia.
Biomedicines
; 10(11)2022 Nov 10.
Article
in English
| MEDLINE | ID: covidwho-2109930
ABSTRACT
INTRODUCTION:
COVID-19 survivors reveal an increased long-term risk for cardiovascular disease. Biomarkers like troponins and sST-2 improve stratification of cardiovascular risk. Nevertheless, their prognostic value for identifying long-term cardiovascular risk after having survived COVID-19 has yet to be evaluated.METHODS:
In this single-center study, admission serum biomarkers of sST-2 and hs-TnI in a single cohort of 251 hospitalized COVID-19 survivors were evaluated. Concentrations were correlated with major cardiovascular events (MACE) defined as cardiovascular death and/or need for cardiovascular hospitalization during follow-up after hospital discharge [FU 415 days (403; 422)].RESULTS:
MACE was a frequent finding during FU with an incidence of 8.4% (cardiovascular death 2.8% and/or need for cardiovascular hospitalization 7.2%). Both biomarkers were reliable indicators of MACE (hs-TnI sensitivity = 66.7%&specificity = 65.7%; sST-2 sensitivity = 33.3%&specificity = 97.4%). This was confirmed in a multivariate proportional-hazardsanalysis:
besides age (HR = 1.047, 95% CI = 1.012-1.084, p = 0.009), hs-TnI (HR = 4.940, 95% CI = 1.904-12.816, p = 0.001) and sST-2 (HR = 10.901, 95% CI =4.509-29.271, p < 0.001) were strong predictors of MACE. The predictive value of the model was further improved by combining both biomarkers with the factor age (concordance index hs-TnI + sST2 + age = 0.812).CONCLUSION:
During long-term FU, hospitalized COVID-19 survivors, hs-TnI and sST-2 at admission, were strong predictors of MACE, indicating both proteins to be involved in post-acute sequelae of COVID-19.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Cohort study
/
Experimental Studies
/
Observational study
/
Prognostic study
Topics:
Long Covid
Language:
English
Year:
2022
Document Type:
Article
Affiliation country:
Biomedicines10112889
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