High-Sensitivity Troponin I is an Indicator of Poor Prognosis in Patients with Severe COVID-19 Related Pneumonia.

OBJECTIVE

Critical covid-19 patients have complications with acute myocardial injury is still unclear. We observed a series of critically ill patients, paying particular attention to the impact of myocardial injury at admission on short-term outcome.

METHODS

We prospectively collected and analyzed data from a series of severe covid-19 patients confirmed by real-time RT-PCR. Data were obtained from electronic medical records including clinical charts, nursing records, laboratory findings, and chest x-rays were from Feb 8, 2020, to April 7, 2020. The Acute Physiology and Chronic Health Evaluation (APACHE II) score, CURB-65 Pneumonia Severity Score, Sequential Organ Failure Assessment (SOFA) Score and pneumonia severity index (PSI) score were made within 24 hours of admission. Cardiac injury was diagnosed as hs-cTnI were above >28 pg/mL. The short-term outcome was defined as mortality in hospital.

RESULTS

A total of 100 patients met the diagnostic criteria of severe patients with COVID-19 during 2020.02.08-2020.04.07. The CURB 65, APACH2, SOFA, and PSI score were significantly higher in Critical group than in Severe group. Univariate regression analysis showed that oxygen flow, PO2/FiO2, SOFA and hs-cTnI were closely related to short-term outcome. The corresponding ROC of hs-cTnI, oxygen flow and SOFA for patient death prediction were 0.949, 0.906 and 0.652. hs-cTnI at 47.8 ng/liter predicted death, sensitivity 92.8%, specificity 92.9%; Oxygen flow at 5.5 liter/minute predicted death sensitivity 100%, specificity 77.9%; SOFA score at 5 predicted death sensitivity 100%, specificity 73.8%.

CONCLUSION

Our cohort study demonstrated that inhaled oxygen flow, SOFA score, and myocardial injury at admission in critically ill COVID-19 patients were important indicators for predicting short-term death of patients, the hs-cTnI can be as a risk stratification, which may provide a simple method for the physicians to identify high-risk patients and give reasonable treatment in time.