Clinical features of severe patients infected with 2019 novel coronavirus: a systematic review and meta-analysis

Clinical features of severe patients infected with 2019 novel coronavirus: a systematic review and meta-analysis

2019 novel coronavirus disease (COVID-19) has posed significant threats to public health. To identify and treat the severe and critical patients with COVID-19 is the key clinical problem to be solved. The present study aimed to evaluate the clinical characteristics of severe and non-severe patients...

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Veröffentlicht in:Annals of translational medicine 2020-05, Vol.8 (9), p.576-576
Hauptverfasser: Huang, Daozheng, Lian, Xingji, Song, Feier, Ma, Huan, Lian, Zhiwen, Liang, Yuanfeng, Qin, Tiehe, Chen, Wei, Wang, Shouhong
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container_end_page 576
container_issue 9
container_start_page 576
container_title Annals of translational medicine
container_volume 8
creator Huang, Daozheng
Lian, Xingji
Song, Feier
Ma, Huan
Lian, Zhiwen
Liang, Yuanfeng
Qin, Tiehe
Chen, Wei
Wang, Shouhong
description 2019 novel coronavirus disease (COVID-19) has posed significant threats to public health. To identify and treat the severe and critical patients with COVID-19 is the key clinical problem to be solved. The present study aimed to evaluate the clinical characteristics of severe and non-severe patients with COVID-19. We searched independently studies and retrieved the data that involved the clinical characteristics of severe and non-severe patients with COVID-19 through database searching. Two authors independently retrieved the data from the individual studies, assessed the study quality with Newcastle-Ottawa Scale and analyzed publication bias by Begg's test. We calculated the odds ratio (OR) of groups using fixed or random-effect models. Five studies with 5,328 patients confirmed with COVID-19 met the inclusion criteria. Severe patents were older and more common in dyspnea, vomiting or diarrhea, creatinine >104 µmol/L, procalcitonin ≥0.05 ng/mL, lymphocyte count
doi_str_mv 10.21037/atm-20-2124
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To identify and treat the severe and critical patients with COVID-19 is the key clinical problem to be solved. The present study aimed to evaluate the clinical characteristics of severe and non-severe patients with COVID-19. We searched independently studies and retrieved the data that involved the clinical characteristics of severe and non-severe patients with COVID-19 through database searching. Two authors independently retrieved the data from the individual studies, assessed the study quality with Newcastle-Ottawa Scale and analyzed publication bias by Begg's test. We calculated the odds ratio (OR) of groups using fixed or random-effect models. Five studies with 5,328 patients confirmed with COVID-19 met the inclusion criteria. Severe patents were older and more common in dyspnea, vomiting or diarrhea, creatinine >104 µmol/L, procalcitonin ≥0.05 ng/mL, lymphocyte count <1.5×10 /L and bilateral involvement of chest CT. Severe patents had higher risk on complications including acute cardiac injury (OR 13.48; 95% CI, 3.60 to 50.47, P<0.001) or acute kidney injury (AKI) (OR 11.55; 95% CI, 3.44 to 38.77, P<0.001), acute respiratory distress syndrome (ARDS) (OR 26.12; 95% CI, 11.14 to 61.25, P<0.001), shock (OR 53.17; 95% CI, 12.54 to 225.4, P<0.001) and in-hospital death (OR 45.24; 95% CI, 19.43 to 105.35, P<0.001). Severe group required more main interventions such as received antiviral therapy (OR 1.69; 95% CI, 1.23 to 2.32, P=0.001), corticosteroids (OR 5.07; 95% CI, 3.69 to 6.98, P<0.001), CRRT (OR 37.95; 95% CI, 7.26 to 198.41, P<0.001) and invasive mechanical ventilation (OR 129.35; 95% CI, 25.83 to 647.68, P<0.001). Severe patients with COVID-19 had more risk of clinical characteristics and multiple system organ complications. 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To identify and treat the severe and critical patients with COVID-19 is the key clinical problem to be solved. The present study aimed to evaluate the clinical characteristics of severe and non-severe patients with COVID-19. We searched independently studies and retrieved the data that involved the clinical characteristics of severe and non-severe patients with COVID-19 through database searching. Two authors independently retrieved the data from the individual studies, assessed the study quality with Newcastle-Ottawa Scale and analyzed publication bias by Begg's test. We calculated the odds ratio (OR) of groups using fixed or random-effect models. Five studies with 5,328 patients confirmed with COVID-19 met the inclusion criteria. Severe patents were older and more common in dyspnea, vomiting or diarrhea, creatinine >104 µmol/L, procalcitonin ≥0.05 ng/mL, lymphocyte count <1.5×10 /L and bilateral involvement of chest CT. 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title Clinical features of severe patients infected with 2019 novel coronavirus: a systematic review and meta-analysis
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