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Am J Cardiol ; 167: 125-132, 2022 03 15.
Artículo en Inglés | MEDLINE | ID: mdl-35063263

RESUMEN

Data concerning the combined prognostic role of natriuretic peptide (NP) and troponin in patients with COVID-19 are lacking. The aim of the study is to evaluate the combined prognostic value of NPs and troponin in hospitalized COVID-19 patients. From March 1, 2020 to April 9, 2020, consecutive patients with COVID-19 and available data on cardiac biomarkers at admission were recruited. Patients admitted for acute coronary syndrome were excluded. Troponin levels were defined as elevated when greater than the 99th percentile of normal values. NPs were considered elevated if above the limit for ruling in acute heart failure (HF). A total of 341 patients were included in this study, mean age 68 ± 13 years, 72% were men. During a median follow-up period of 14 days, 81 patients (24%) died. In the Cox regression analysis, patients with elevated both NPs and troponin levels had higher risk of death compared with those with normal levels of both (hazard ratio 2.94; 95% confidence interval 1.31 to 6.64; p = 0.009), and this remained significant after adjustment for age, gender, oxygen saturation, HF history, and chronic kidney disease. Interestingly, NPs provided risk stratification also in patients with normal troponin values (hazard ratio 2.86; 95% confidence interval 1.21 to 6.72; p = 0.016 with high NPs levels). These data show the combined prognostic role of troponin and NPs in COVID-19 patients. NPs value may be helpful in identifying patients with a worse prognosis among those with normal troponin values. Further, NPs' cut-point used for diagnosis of acute HF has a predictive role in patients with COVID-19.


Asunto(s)
COVID-19/sangre , Mortalidad Hospitalaria , Péptido Natriurético Encefálico/sangre , Fragmentos de Péptidos/sangre , Troponina I/sangre , Troponina T/sangre , Anciano , Anciano de 80 o más Años , COVID-19/mortalidad , Femenino , Insuficiencia Cardíaca/sangre , Humanos , Italia , Masculino , Persona de Mediana Edad , Pronóstico , Modelos de Riesgos Proporcionales , Medición de Riesgo , SARS-CoV-2
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