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Value of increased soluble suppressor tumorigenicity biomarker 2 (sST2) on admission as an indicator of severity in patients with COVID-19

BACKGROUND: Soluble suppressor of tumorigenicity-2 (sST2) is a biomarker for heart failure and pulmonary injury. We hypothesize that sST2 could help predict severity of SARS-CoV-2 infections. METHODS: sST2 was analyzed in patients consecutively admitted for SARS-CoV-2 pneumonia. Other prognostic mar...

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Detalles Bibliográficos
Autores principales: Arnaldos-Carrillo, María, Noguera-Velasco, José Antonio, Martínez-Ardil, Isabel M., Riquelme-Pérez, Alejandro, Cebreiros-López, Iria, Hernández-Vicente, Álvaro, Ros-Lucas, José Antonio, Khan, Amjad, Bayes-Genís, Antoni, Pascual-Figal, Domingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier España, S.L.U. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086099/
https://www.ncbi.nlm.nih.gov/pubmed/37137804
http://dx.doi.org/10.1016/j.medcli.2023.04.005
Descripción
Sumario:BACKGROUND: Soluble suppressor of tumorigenicity-2 (sST2) is a biomarker for heart failure and pulmonary injury. We hypothesize that sST2 could help predict severity of SARS-CoV-2 infections. METHODS: sST2 was analyzed in patients consecutively admitted for SARS-CoV-2 pneumonia. Other prognostic markers were also measured. In-hospital complications were registered, including death, ICU admission, and respiratory support requirements. RESULTS: 495 patients were studied (53% male, age: 57.6 ± 17.6). At admission, median sST2 concentrations was 48.5 ng/mL [IQR, 30.6–83.1 ng/mL] and correlated with male gender, older age, comorbidities, other severity biomarkers, and respiratory support requirements. sST2 levels were higher in patients who died (n = 45, 9.1%) (45.6 [28.0, 75.9] ng/mL vs. 144 [82.6, 319] ng/mL, p < 0.001) and those admitted to ICU (n = 46, 9.3%) (44.7 [27.5, 71.3] ng/mL vs. 125 [69.0, 262] ng/mL, p < 0.001). sST2 levels > 210 ng/mL were a strong predictor of complicated in-hospital courses, with higher risk of death (OR, 39.3, CI95% 15.9, 103) and death/ICU (OR 38.3, CI95% 16.3–97.5) after adjusting for all other risk factors. The addition of sST2 enhanced the predictive capacity of mortality risk models. CONCLUSIONS: sST2 represents a robust severity predictor in COVID-19 and could be an important tool for identifying at-risk patients who may benefit from closer follow-up and specific therapies.