Prognostic value of baseline clinical and HRCT findings in 101 patients with severe COVID-19 in Wuhan, China
| العنوان: | Prognostic value of baseline clinical and HRCT findings in 101 patients with severe COVID-19 in Wuhan, China |
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| المؤلفون: | Yukun Cao, Hanping Wu, Chuansheng Zheng, Xiaoyu Han, Heshui Shi, Yanqing Fan, Osamah Alwalid, Xin Zhang, Yumin Li, Jin Gu, Jia Liu, Yue Cui |
| المصدر: | Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020) Scientific Reports |
| بيانات النشر: | Nature Publishing Group, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Thorax, Adult, Male, medicine.medical_specialty, ARDS, Pneumonia, Viral, lcsh:Medicine, Comorbidity, Logistic regression, Microbiology, Severity of Illness Index, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Betacoronavirus, 0302 clinical medicine, Internal medicine, Diabetes mellitus, Severity of illness, Odds Ratio, Medicine, Humans, 030212 general & internal medicine, Lymphocyte Count, lcsh:Science, Pandemics, Aged, Retrospective Studies, Multidisciplinary, business.industry, SARS-CoV-2, lcsh:R, COVID-19, Retrospective cohort study, Odds ratio, Middle Aged, medicine.disease, Prognosis, Logistic Models, Risk factors, Female, lcsh:Q, business, Coronavirus Infections, Tomography, X-Ray Computed |
| الوصف: | 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. |
| اللغة: | English |
| تدمد: | 2045-2322 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55032049375b4d7ae22f8d81f9a5940aTest http://link.springer.com/article/10.1038/s41598-020-74497-9Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....55032049375b4d7ae22f8d81f9a5940a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20452322 |
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