About: Myocardial injury and COVID-19: Serum hs-cTnI level in risk stratification and the prediction of 30-day fatality in COVID-19 patients with no prior cardiovascular disease

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About: Myocardial injury and COVID-19: Serum hs-cTnI level in risk stratification and the prediction of 30-day fatality in COVID-19 patients with no prior cardiovascular disease Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Myocardial injury and COVID-19: Serum hs-cTnI level in risk stratification and the prediction of 30-day fatality in COVID-19 patients with no prior cardiovascular disease
Creator	Liang, Chao Gao, Yan Zheng, Yan Ge, Junbo Shanghai, Luo, Zhe Qian, Juying Yang, Hongbo Cao, Jiatian Huang, Zheyong Liu, Zilong Mei, Zhendong Song, Yanan Yao, Yumeng Yu, Kaihuan Zhu, Chouwen
Source	PMC
abstract	Introduction: To explore the involvement of the cardiovascular system in coronavirus disease 2019 (COVID-19), we investigated whether myocardial injury occurred in COVID-19 patients and assessed the performance of serum high-sensitivity cardiac Troponin I (hs-cTnI) levels in predicting disease severity and 30-day in-hospital fatality. Methods: We included 244 COVID-19 patients, who were admitted to Renmin Hospital of Wuhan University with no preexisting cardiovascular disease or renal dysfunction. We analyzed the data including patients' clinical characteristics, cardiac biomarkers, severity of medical conditions, and 30-day in-hospital fatality. We performed multivariable Cox regressions and the receiver operating characteristic analysis to assess the association of cardiac biomarkers on admission with disease severity and prognosis. Results: In this retrospective observational study, 11% of COVID-19 patients had increased hs-cTnI levels (>40 ng/L) on admission. Of note, serum hs-cTnI levels were positively associated with the severity of medical conditions (median [interquartile range (IQR)]: 6.00 [6.00-6.00] ng/L in 91 patients with moderate conditions, 6.00 [6.00-18.00] ng/L in 107 patients with severe conditions, and 11.00 [6.00-56.75] ng/L in 46 patients with critical conditions, P for trend=0.001). Moreover, compared with those with normal cTnI levels, patients with increased hs-cTnI levels had higher in-hospital fatality (adjusted hazard ratio [95% CI]: 4.79 [1.46-15.69]). The receiver-operating characteristic curve analysis suggested that the inclusion of hs-cTnI levels into a panel of empirical prognostic factors substantially improved the prediction performance for severe or critical conditions (area under the curve (AUC): 0.71 (95% CI: 0.65-0.78) vs. 0.65 (0.58-0.72), P=0.01), as well as for 30-day fatality (AUC: 0.91 (0.85-0.96) vs. 0.77 (0.62-0.91), P=0.04). A cutoff value of 20 ng/L of hs-cTnI level led to the best prediction to 30-day fatality. Conclusions: In COVID-19 patients with no preexisting cardiovascular disease, 11% had increased hs-cTnI levels. Besides empirical prognostic factors, serum hs-cTnI levels upon admission provided independent prediction to both the severity of the medical condition and 30-day in-hospital fatality. These findings may shed important light on the clinical management of COVID-19.
has issue date	2020-07-29(xsd:dateTime)
bibo:doi	10.7150/thno.47980
has license	cc-by
sha1sum (hex)	7e02a33561d1e7f649eac399ad249d855254a7dd
schema:url	https://doi.org/10.7150/thno.47980
resource representing a document's title	Myocardial injury and COVID-19: Serum hs-cTnI level in risk stratification and the prediction of 30-day fatality in COVID-19 patients with no prior cardiovascular disease
has PubMed Central identifier	PMC7449913
schema:publication	Theranostics
resource representing a document's body	covid:7e02a33561d1e7f649eac399ad249d855254a7dd#body_text
is schema:about of	named entity 'inclusion' named entity 'renal dysfunction' named entity 'median' named entity 'day' named entity 'prediction' named entity 'PROGNOSIS' named entity 'ANALYZED' named entity 'Methods' named entity 'fatality' named entity 'cardiac biomarkers' named entity 'normal' named entity 'fatality' named entity 'levels' named entity 'patients' named entity 'multivariable' named entity 'COVID-19' named entity 'cardiac Troponin' named entity 'cardiovascular disease' named entity 'COVID-19' named entity 'observational study' named entity 'IQR' named entity 'serum' named entity 'cTnI' named entity 'AUC' named entity 'interquartile range' named entity 'cTnI' named entity 'COVID' named entity 'Serum' named entity 'levels' named entity 'cTnI' named entity 'operating characteristic' named entity 'risk stratification' named entity 'COVID-19' named entity 'receiver operating characteristic analysis' named entity 'cardiovascular disease' named entity 'COVID-19' named entity 'cTnI' named entity 'area under the curve' named entity 'P=0.01' named entity 'Myocardial injury' named entity 'interquartile range' named entity 'patients' named entity 'Wuhan University' named entity 'curve' named entity 'conditions' named entity 'critical' named entity 'Wuhan University' named entity 'cTnI' named entity 'serum' named entity 'hazard ratio' named entity 'CTNI' named entity 'OCCURRED' named entity 'PREEXISTING' named entity 'CRITICAL' named entity '107' named entity 'CARDIOVASCULAR DISEASE' named entity 'CLINICAL CHARACTERISTICS' named entity 'INCLUDING' named entity 'INCREASED' named entity 'CORONAVIRUS DISEASE 2019' named entity 'SERUM' named entity 'AUC' named entity 'medical conditions' named entity 'cTnI' named entity 'clinical characteristics' named entity 'medical conditions' named entity 'cardiac biomarkers' named entity 'DISEASE SEVERITY'

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