Prognostic Value of Baseline Clinical and HRCT Findings in 101 Patients with Severe COVID-19 in Wuhan, China
Background It has been reported that patients with severe Coronavirus disease 2019 (COVID-19) had high mortality rate, but the information about prognostic factors for these patients is unknown. The aim of this study was to assess the prognostic value of baseline clinical and high resolution CT (HRCT) findings in patients with severe COVID-19.
Methods In this retrospective, two-center study, we included two groups of inpatients with severe COVID-19 who had been discharged or had died in Jin Yin-tan hospital and Wuhan union hospital between January 5, 2020, and February 22, 2020. Cases were confirmed by real-time polymerase chain reaction. Demographic, clinical, laboratory data, and HRCT data were collected and compared between discharged and deceased patients. Univariable and multivariable logistic regression models were used to assess predictors of mortality risk in these patients.
Results 101 patients were included in this study, of whom 66 were discharged and 35 died in the hospital. The mean age was 56.6 ± 15.1 years and 67 (66.3%)were men. Of the 101 patients, hypertension (38, 37.6%), cardiovascular disease (21,20.8%), diabetes (18,17.8%), and chronic pulmonary disease (16,15.8%) were the most common coexisting conditions. The multivariable regression analysis showed older age (OR:1.142, 95%CI:1.059–1.231, p༜0.001), acute respiratory distress syndrome (ARDS) (OR:10.142, 95%CI:1.611–63.853, p = 0.014), reduced lymphocyte count (OR:0.004, 95%CI: 0.001–0.306, p = 0.013), and elevated HRCT score (OR:1.276, 95%CI:1.002–1.625, p = 0.049) to be independent predictors of mortality risk on admission in severe COVID-19 patients.
Conclusions These initial data indicate that older age, ARDS, lymphocytopenia and elevated HRCT score on admission were strong predictors of mortality risk in severe COVID-19 patients.
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Posted 20 May, 2020
Prognostic Value of Baseline Clinical and HRCT Findings in 101 Patients with Severe COVID-19 in Wuhan, China
Posted 20 May, 2020
Background It has been reported that patients with severe Coronavirus disease 2019 (COVID-19) had high mortality rate, but the information about prognostic factors for these patients is unknown. The aim of this study was to assess the prognostic value of baseline clinical and high resolution CT (HRCT) findings in patients with severe COVID-19.
Methods In this retrospective, two-center study, we included two groups of inpatients with severe COVID-19 who had been discharged or had died in Jin Yin-tan hospital and Wuhan union hospital between January 5, 2020, and February 22, 2020. Cases were confirmed by real-time polymerase chain reaction. Demographic, clinical, laboratory data, and HRCT data were collected and compared between discharged and deceased patients. Univariable and multivariable logistic regression models were used to assess predictors of mortality risk in these patients.
Results 101 patients were included in this study, of whom 66 were discharged and 35 died in the hospital. The mean age was 56.6 ± 15.1 years and 67 (66.3%)were men. Of the 101 patients, hypertension (38, 37.6%), cardiovascular disease (21,20.8%), diabetes (18,17.8%), and chronic pulmonary disease (16,15.8%) were the most common coexisting conditions. The multivariable regression analysis showed older age (OR:1.142, 95%CI:1.059–1.231, p༜0.001), acute respiratory distress syndrome (ARDS) (OR:10.142, 95%CI:1.611–63.853, p = 0.014), reduced lymphocyte count (OR:0.004, 95%CI: 0.001–0.306, p = 0.013), and elevated HRCT score (OR:1.276, 95%CI:1.002–1.625, p = 0.049) to be independent predictors of mortality risk on admission in severe COVID-19 patients.
Conclusions These initial data indicate that older age, ARDS, lymphocytopenia and elevated HRCT score on admission were strong predictors of mortality risk in severe COVID-19 patients.
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