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Cardiac Troponin I association with critical illness and death risk in 726 seriously ill COVID-19 patients: A retrospective cohort study

Huilong Chen, Xinjie Li, Tuohutaerbieke Marmar, Qiang Xu, Jing Tu, Tong Li, Jun Han, Dong Xu, Tao Shen

2021International Journal of Medical Sciences18 citationsDOIOpen Access PDF

Abstract

Background: For coronavirus disease 2019 , early identification of patients with serious symptoms at risk of critical illness and death is important for personalized treatment and balancing medical resources. Methods: Demographics, clinical characteristics, and laboratory tests data from 726 patients with serious COVID-19 at Tongji Hospital (Wuhan, China) were analyzed. Patients were classified into critical group (n = 174) and severe group (n= 552), the critical group was sub-divided into survivors (n = 47) and non-survivors (n = 127). Results: Multivariable analyses revealed the risk factors associated with critical illness in serious patients were: Advanced age, high respiratory rate (RR), high lactate dehydrogenase (LDH) level, high hypersensitive cardiac troponin I (hs-cTnI) level, and thrombocytopenia on admission. High hs-cTnI level was the independent risk factor of mortality among critically ill patients in the unadjusted and adjusted models. ROC curves demonstrated that hs-cTnI and LDH were predictive factors for critical illness in patients with serious COVID-19 whereas procalcitonin and D-Dimer with hs-cTnI and LDH were predictive parameters in mortality risk. Conclusions: Advanced age, high RR, LDH, hs-cTnI, and thrombocytopenia, constitute risk factors for critical illness among patients with serious COVID-19, and the hs-cTnI level helps predict fatal outcomes in critically ill patients.

Topics & Concepts

MedicineProcalcitoninInternal medicineRetrospective cohort studyTroponin ISeverity of illnessCritical illnessTroponinRisk factorIntensive care medicineCritically illSepsisMyocardial infarctionCOVID-19 Clinical Research StudiesSepsis Diagnosis and TreatmentVenous Thromboembolism Diagnosis and Management