Abstract

BACKGROUND: Despite being associated with worse prognosis in patients with COVID-19, systematic determination of myocardial injury is not recommended. The aim of the study was to study the effect of myocardial injury assessment on risk stratification of COVID-19 patients.

METHODS: Seven hundred seven consecutive adult patients admitted to a large tertiary hospital with confirmed COVID-19 were included. Demographic data, comorbidities, laboratory results and clinical outcomes were recorded. Charlson comorbidity index (CCI) was calculated in order to quantify the degree of comorbidities. Independent association of cardiac troponin I (cTnI) increase with outcomes was evaluated by multivariate regression analyses and area under curve. In addition, propensity-score matching was performed to assemble a cohort of patients with similar baseline characteristics.

RESULTS: In the matched cohort (mean age 66.76 ± 15.7 years, 37.3% females), cTnI increase above the upper limit was present in 20.9% of the population and was associated with worse clinical outcomes, including all-cause mortality within 30 days (45.1% vs. 23.2%; p = 0.005). The addition of cTnI to a multivariate prediction model showed a significant improvement in the area under the time-dependent receiver operating characteristic curve (0.775 vs. 0.756, DC-statistic = 0.019; 95% confidence interval 0.001–0.037). Use of renin–angiotensin–aldosterone system inhibitors was not associated with mortality after adjusting by baseline risk factors.

CONCLUSIONS: Myocardial injury is independently associated with adverse outcomes irrespective of baseline comorbidities and its addition to multivariate regression models significantly improves their performance in predicting mortality. The determination of myocardial injury biomarkers on hospital admission and its combination with CCI can classify patients in three risk groups (high, intermediate and low) with a clearly distinct 30-day mortality.

Details

Title
Myocardial injury determination improves risk stratification and predicts mortality in COVID-19 patients
Author
Lorente-Ros, Alvaro 1   VIAFID ORCID Logo  ; Monteagudo Ruiz, Juan Manuel 2 ; Rincón, Luis M. 2 ; Ortega Pérez, Rodrigo 2 ; Rivas, Sonia 2 ; Martínez-Moya, Rafael 2 ; Sanromán, Maria Ascensión 2 ; Manzano, Luis 3 ; Alonso, Gonzalo Luis 2 ; Ibáñez, Borja 4 ; Zamorano, Jose Luis 2 

 Department of Cardiology, University Hospital Ramon y Cajal, Madrid, Spain. [email protected] 
 Department of Cardiology, University Hospital Ramon y Cajal, Madrid, Spain 
 Hospital Ramon y Cajal, Madrid, Spain 
 Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain 
First page
489
End page
496
Publication year
2020
Publication date
2020
Publisher
Wydawnictwo Via Medica
ISSN
18975593
e-ISSN
1898018X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2462494548
Copyright
© 2020. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.