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Clin Biochem ; 90: 8-14, 2021 Apr.
Article in English | MEDLINE | ID: mdl-33529580

ABSTRACT

BACKGROUND: The spectrum of Coronavirus Disease 2019 (COVID-19) is broad and thus early appropriate risk stratification can be helpful. Our objectives were to define the frequency of myocardial injury using high-sensitivity cardiac troponin I (hs-cTnI) and to understand how to use its prognostic abilities. METHODS: Retrospective study of patients with COVID-19 presenting to an Emergency Department (ED) in Italy in 2020. Hs-cTnI was sampled based on clinical judgment. Myocardial injury was defined as values above the sex-specific 99th percentile upper reference limits (URLs). Most data is from the initial hospital value. RESULTS: 426 unique patients were included. Hs-cTnI was measured in 313 (73.5%) patients; 85 (27.2%) had myocardial injury at baseline. Patients with myocardial injury had higher mortality during hospitalization (hazard ratio = 9 [95% confidence interval (CI) 4.55-17.79], p < 0.0001). Multivariable analysis including clinical and laboratory variables demonstrated an AUC of 0.942 with modest additional value of hs-cTnI. Myocardial injury was associated with mortality in patients with low APACHE II scores (<13) [OR (95% CI): 4.15 (1.40, 14.22), p = 0.014] but not in those with scores > 13 [OR (95% CI): 0.48 (0.08, 2.65), p = 0.40]. Initial hs-cTnI < 5 ng/L identified 33% of patients that were at low risk with 97.8% sensitivity (95% CI 88.7, 99.6) and 99.2% negative predictive value. Type 1 myocardial infarction (MI) and type 2 MI were infrequent. CONCLUSIONS: hs-cTnI at baseline is a significant predictor of mortality in COVID-19 patients. A value < 5 ng/L identified patients at low risk.


Subject(s)
COVID-19/epidemiology , Cardiomyopathies/epidemiology , Troponin I/blood , Aged , Aged, 80 and over , Biomarkers/blood , COVID-19/mortality , Cardiomyopathies/mortality , Emergency Service, Hospital , Female , Hospitalization , Humans , Italy/epidemiology , Male , Middle Aged , Myocardial Infarction/epidemiology , Predictive Value of Tests , Prognosis , Retrospective Studies , Risk Assessment , Risk Factors , SARS-CoV-2
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