Author: Zhang, J.; Ding, D.; Cao, C.; Huang, X.; Fu, P.; Liang, G.; Xu, W.; Tao, Z.
Title: Myocardial characteristics as the prognosis for COVID-19 patients Cord-id: 6m71ubfz Document date: 2020_5_9
ID: 6m71ubfz
Snippet: Background Amid the crisis of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), front-line clinicians in collaboration with backstage medical researchers analyzed clinical characteristics of COVID-19 patients and reported the prognosis using myocardial data records upon hospitalization. Methods We reported 135 cases of laboratory-confirmed COVID-19 patients admitted in The First People's Hospital of Jiangxia District in Wuhan, China.
Document: Background Amid the crisis of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), front-line clinicians in collaboration with backstage medical researchers analyzed clinical characteristics of COVID-19 patients and reported the prognosis using myocardial data records upon hospitalization. Methods We reported 135 cases of laboratory-confirmed COVID-19 patients admitted in The First People's Hospital of Jiangxia District in Wuhan, China. Demographic data, medical history, and laboratory parameters were taken from inpatient records and compared between patients at the Intensive Care Unit (ICU) and non-ICU isolation wards for prognosis on disease severity. In particular, survivors and non-survivors upon ICU admission were compared for prognosis on disease mortality. Results For COVID-19 patients, blood test results showed more significantly deranged values in the ICU group than those in non-ICU. Among those parameters for ICU patients, myocardial variables including troponin T, creatine kinase isoenzymes, myoglobin, were found significantly higher in non-survivors than in survivors. Conclusions Upon hospitalization abnormal myocardial metabolism in COVID-19 patients could be prognostic indicators of a worsened outcome for disease severity and mortality.
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