Why the study?
COVID-19 is frequently complicated by cardiovascular involvement, but the prognostic value of sST2 in this setting remained unclear.
Does elevated plasma sST2 predict cardiovascular events and mortality in COVID-19 patients?
Does elevated plasma sST2 predict cardiovascular events and mortality in COVID-19 patients?
Elevated plasma sST2 serves as a strong prognostic biomarker for cardiovascular events and mortality in COVID-19 patients, outperforming traditional cardiac markers.
sST2 may support CV risk stratification in hospitalized COVID-19; leaves open whether measurement improves outcomes or guides therapy.
BACKGROUND: Coronavirus disease 2019 (COVID-19) is frequently complicated by cardiovascular involvement. Soluble growth stimulation-expressed gene 2 (sST2) is a promising cardiovascular biomarker, but its prognostic value in COVID-19 remains unclear. METHODS: = 146). Plasma sST2 were measured using an enzyme-linked immunosorbent assay. Correlation analyses evaluated associations between sST2 and clinical parameters. Cox regression assessed the independent predictive value for cardiovascular events and all-cause mortality. RESULTS: sST2 levels were significantly higher in severe/critical patients (16.877 ng/mL) than in mild/moderate cases (6.189 ng/mL) and healthy controls (4.003 ng/mL). sST2 positively correlated with cardiac injury markers (cTnI, CK-Mb, NT-proBNP), inflammatory indices (IL-1β, hsCRP), D-dimer, and inversely correlated with a left ventricular ejection fraction (r = -0.86). Elevated sST2 independently predicted cardiovascular events (HR = 2.972) and mortality (HR = 4.681). The Kaplan-Meier survival analysis demonstrated higher cardiovascular event rates and lower survival probabilities in patients with elevated sST2. The ROC curve indicated sST2 outperformed cTnI and NT-proBNP in predicting cardiovascular events (AUC = 0.898) and mortality (AUC = 0.871). CONCLUSION: Elevated sST2 is associated with myocardial injury, inflammation, and poor prognosis in COVID-19, supporting its value for risk stratification.
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Yan et al. (2025) studied this question.
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