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1.
Hepatol Commun ; 4(12): 1758-1768, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1391569

ABSTRACT

Previous studies reported that coronavirus disease 2019 (COVID-19) was likely to result in liver injury. However, few studies investigated liver injury in patients with COVID-19 with chronic liver diseases. We described the clinical features in patients with COVID-19 with nonalcoholic fatty liver disease (NAFLD). Confirmed patients with COVID-19 from hospitals in 10 cities of Jiangsu Province, China, were retrospectively included between January 18, 2020, and February 26, 2020. The hepatic steatosis index (HSI) was used to defined NAFLD. A total of 280 patients with COVID-19 were enrolled. Eighty-six (30.7%) of 280 patients with COVID-19 were diagnosed as NAFLD by HSI. One hundred (35.7%) patients presented abnormal liver function on admission. The median alanine aminotransferase (ALT) levels (34.5 U/L vs. 23.0 U/L; P < 0.001) and the proportion of elevated ALT (>40 U/L) (40.7% vs. 10.8%; P < 0.001) were significantly higher in patients with NAFLD than in patients without NAFLD on admission. The proportion of elevated ALT in patients with NAFLD was also significantly higher than patients without NAFLD (65.1% vs. 38.7%; P < 0.001) during hospitalization. Multivariate analysis showed that age over 50 years (odds ratio [OR], 2.077; 95% confidence interval [CI], 1.183, 3.648; P = 0.011) and concurrent NAFLD (OR, 2.956; 95% CI, 1.526, 5.726; P = 0.001) were independent risk factors of ALT elevation in patients with COVID-19, while the atomized inhalation of interferon α-2b (OR, 0.402; 95% CI, 0.236, 0.683; P = 0.001) was associated with a reduced risk of ALT elevation during hospitalization. No patient developed liver failure or death during hospitalization. The complications and clinical outcomes were comparable between patients with COVID-19 with and without NAFLD. Conclusion: Patients with NAFLD are more likely to develop liver injury when infected by COVID-19. However, no patient developed severe liver-related complications during hospitalization.

2.
Virol J ; 18(1): 147, 2021 07 14.
Article in English | MEDLINE | ID: covidwho-1311250

ABSTRACT

BACKGROUND: The clinical and virological course of patients with coronavirus disease 2019 (COVID-19) are lacking. We aimed to describe the clinical and virological characteristics of COVID-19 patients from 10 designated hospitals in 10 cities of Jiangsu province, China. The factors associated with the clearance of SARS-CoV-2 were investigated. METHODS: A total of 328 hospitalized patients with COVID-19 were retrospectively recruited. The epidemiological, clinical, laboratory, radiology and treatment data were collected. The associated factors of SARS-CoV-2 clearance were analyzed. RESULTS: The median duration of hospitalization was 16.0 days (interquartile range [IQR] 13.0-21.0 days). On multivariate Cox regression analysis, age > 60 years (hazard ratio [HR] 0.643, 95% confidence interval [CI] 0.454-0.911, P = 0.013) was associated with the delayed SARS-CoV-2 clearance, while the atomized inhalation of interferon α-2b could improve the clearance of SARS-CoV-2 (HR, 1.357, 95% CI 1.050-1.755, P = 0.020). Twenty-six (7.9%) patients developed respiratory failure and 4 (1.2%) patients developed ARDS. Twenty (6.1%) patients were admitted to the ICU, while no patient was deceased. CONCLUSIONS: Our study found that age > 60 years was associated with the delayed SARS-CoV-2 clearance, while treated with atomized inhalation of interferon α-2b could promote the clearance of SARS-CoV-2.


Subject(s)
COVID-19/diagnosis , SARS-CoV-2/physiology , Adult , Aged , COVID-19/epidemiology , COVID-19/therapy , COVID-19/virology , China/epidemiology , Duration of Therapy , Female , Hospitalization , Humans , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies , SARS-CoV-2/genetics , Virus Shedding , Young Adult
3.
PLoS Negl Trop Dis ; 14(5): e0008280, 2020 05.
Article in English | MEDLINE | ID: covidwho-209648

ABSTRACT

Limited data are available for clinical characteristics of patients with coronavirus disease 2019 (COVID-19) outside Wuhan. This study aimed to describe the clinical characteristics of COVID-19 and identify the risk factors for severe illness of COVID-19 in Jiangsu province, China. Clinical data of hospitalized COVID-19 patients were retrospectively collected in 8 hospitals from 8 cities of Jiangsu province, China. Clinical findings of COVID-19 patients were described and risk factors for severe illness of COVID-19 were analyzed. By Feb 10, 2020, 202 hospitalized patients with COVID-19 were enrolled. The median age of patients was 44.0 years (interquartile range, 33.0-54.0). 55 (27.2%) patients had comorbidities. At the onset of illness, the common symptoms were fever (156 [77.2%]) and cough (120 [59.4%]). 66 (32.7%) patients had lymphopenia. 193 (95.5%) patients had abnormal radiological findings. 11 (5.4%) patients were admitted to the intensive care unit and none of the patients died. 23 (11.4%) patients had severe illness. Severe illness of COVID-19 was independently associated with body mass index (BMI) ≥ 28 kg/m2 (odds ratio [OR], 9.219; 95% confidence interval [CI], 2.731 to 31.126; P<0.001) and a known history of type 2 diabetes (OR, 4.326; 95% CI, 1.059 to 17.668; P = 0.041). In this case series in Jiangsu Province, COVID-19 patients had less severe symptoms and had better outcomes than the initial COVID-19 patients in Wuhan. The BMI ≥ 28 kg/m2 and a known history of type 2 diabetes were independent risk factors of severe illness in patients with COVID-19.


Subject(s)
Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Adult , Betacoronavirus , Body Mass Index , COVID-19 , China/epidemiology , Comorbidity , Coronavirus Infections/diagnosis , Coronavirus Infections/physiopathology , Cough/virology , Diabetes Mellitus, Type 2/complications , Female , Fever/virology , Hospitalization/statistics & numerical data , Humans , Intensive Care Units , Lymphopenia/virology , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnosis , Pneumonia, Viral/physiopathology , Risk Factors , SARS-CoV-2
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