Objective: To determine incidence, predictors, and impact of liver injury among hospitalized COVID-19 patients Methods: This is a retrospective cohort study of hospitalized COVID-19 patients at the University of the PhilippinesPhilippine General Hospital. Liver injury (LI) was defined as ALT elevation above institutional cut-off (>50 u/L) and was classified as mild (>1x to 3x ULN), moderate (>3x to 5x ULN), or severe (>5x ULN). Significant liver injury (SLI) was defined as moderate to severe LI. Univariate analysis of SLI predictors was performed. The impact of LI on clinical outcomes was determined and adjusted for known predictors -age, sex, and comorbidities. Results: Of the 1,131 patients, 565 (50.04%) developed LI. SLI was associated with male sex, alcohol use, chronic liver disease, increasing COVID-19 severity, high bilirubin, AST, LDH, CRP, and low lymphocyte count and albumin. An increasing degree of LI correlated with ICU admission. Only severe LI was associated with the risk of invasive ventilation (OR: 3.54, p=0.01) and mortality (OR: 2.76, p=0.01). Severe LI, male sex, cardiovascular disease, and malignancy were associated with longer hospital stay among survivors. Conclusion The liver injury occurred commonly among COVID-19 patients and was associated with important clinicodemographic characteristics. Severe liver injury increases the risk of adverse outcomes among hospitalized patients.
Liver injury ; Coronavirus disease-19 ; Severe Acute Respiratory Syndrome Coronavirus-2 ; Clinical outcomes

Objective: An outbreak of 2019 novel coronavirus diseases (COVID-19) in Wuhan, China has spread quickly nationwide. Here, we report results of a descriptive, exploratory analysis of all cases diagnosed as of February 11, 2020. Methods: All COVID-19 cases reported through February 11, 2020 were extracted from China's Infectious Disease Information System. Analyses included: 1) summary of patient characteristics; 2) examination of age distributions and sex ratios; 3) calculation of case fatality and mortality rates; 4) geo-temporal analysis of viral spread; 5) epidemiological curve construction; and 6) subgroup analysis. Results: A total of 72 314 patient records-44 672 (61.8%) confirmed cases, 16 186 (22.4%) suspected cases, 10567 (14.6%) clinical diagnosed cases (Hubei only), and 889 asymptomatic cases (1.2%)-contributed data for the analysis. Among confirmed cases, most were aged 30-79 years (86.6%), diagnosed in Hubei (74.7%), and considered mild/mild pneumonia (80.9%). A total of 1 023 deaths occurred among confirmed cases for an overall case-fatality rate of 2.3%. The COVID-19 spread outward from Hubei sometime after December 2019 and by February 11, 2020, 1 386 counties across all 31 provinces were affected. The epidemic curve of onset of symptoms peaked in January 23-26, then began to decline leading up to February 11. A total of 1 716 health workers have become infected and 5 have died (0.3%). Conclusions: The COVID-19 epidemic has spread very quickly. It only took 30 days to expand from Hubei to the rest of Mainland China. With many people returning from a long holiday, China needs to prepare for the possible rebound of the epidemic.
Adult ; Aged ; Asymptomatic Diseases/epidemiology* ; Betacoronavirus ; COVID-19 ; China/epidemiology* ; Coronavirus ; Coronavirus Infections/mortality* ; Disease Outbreaks ; Humans ; Middle Aged ; Mortality/trends* ; Pandemics ; Pneumonia, Viral/mortality* ; SARS-CoV-2

Autopsy ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology* ; Disease Outbreaks ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology* ; SARS-CoV-2

Animals ; COVID-19/virology* ; Disease Models, Animal ; Evolution, Molecular ; Humans ; Polymorphism, Single Nucleotide ; SARS-CoV-2/metabolism* ; Spike Glycoprotein, Coronavirus/genetics*

OBJECTIVE: The pathogenesis of myocardial injury upon corona virus disease 2019 (COVID-19) infection remain unknown,evidence of impact on outcome is insufficient, therefore, we aim to investigate the risk factors for death among COVID-19 patients combined with hypertension, coronary heart disease or diabetes in this study. METHODS: This was a single-centered, retrospective, observational study. Patients of Sino-French Eco-City section of Tongji Hospital, Wuhan, China attended by Peking University Supporting Medical Team and admitted from Jan. 29, 2020 to Mar. 20, 2020 were included. The positive nucleic acid of COVID-19 virus and combination with hypertension, coronary heart disease or diabetes were in the standard. We collected the clinical data and laboratory examination results of the eligible patients to evaluate the related factors of death. RESULTS: In the study, 94 COVID-19 patients enrolled were divided into the group of death (13 cases) and the group of survivors (81 cases), the average age was 66.7 years. Compared with the survival group, the death group had faster basal heart rate(103.2 beats/min vs. 88.4 beats /min, P=0.004), shortness of breath(29.0 beats /min vs. 20.0 beats /min, P<0.001), higher neutrophil count(9.2×10⁹/L vs. 3.8×10⁹/L, P<0.001), lower lymphocyte count(0.5×10⁹/L vs. 1.1×10⁹/L, P<0.001), creatine kinase MB(CK-MB, 3.2 μg/L vs. 0.8 μg/L, P<0.001), high sensitivity cardiac troponin Ⅰ(hs-cTnⅠ, 217.2 ng/L vs. 4.9 ng/L, P<0.001), N-terminal pro brain natriuretic peptide(NT-proBNP; 945.0 μg/L vs. 154.0 μg/L, P<0.001), inflammatory factor ferritin(770.2 μg/L vs. 622.8 μg/L , P=0.050), interleukin-2 recepter(IL-2R, 1 586.0 U/mL vs. 694.0 U/mL, P<0.001), interleukin-6(IL-6, 82.3 ng/L vs. 13.0 ng/L, P<0.001), interleukin-10(IL-10, 9.8 ng/L vs. 5.0 ng/L, P<0.001)were higher than those in the survival group. Univariate logistic regression analysis showed that the risk factors for death were old age, low non oxygen saturation, low lymphocyte count, myocardial injury, abnormal increase of IL 2R, IL-6, and IL-10. Multivariate regression showed that old age (OR=1.11, 95%CI=1.03-1.19, P=0.026), low non oxygen saturation(OR=0.85, 95%CI=0.72-0.99, P=0.041), and abnormal increase of IL-10(＞9.1 ng/L, OR=101.93, 95%CI=4.74-2190.71, P=0.003)were independent risk factors for COVID-19 patients combined with hypertension, coronary heart disease or diabetes. CONCLUSION In COVID-19 patients combined with hypertension, coronary heart disease or diabetes, the risk factors for death were old age, low non oxygen saturation, low lymphocyte count, myocardial injury, and abnormal increase of IL-2R, IL-6, and IL-10. Old age, low non oxygen saturation and abnormal increase of IL-10 were independent risk factors.
Aged ; Betacoronavirus ; COVID-19 ; China/epidemiology* ; Coronary Disease/complications* ; Coronavirus Infections/mortality* ; Diabetes Mellitus ; Humans ; Hypertension/complications* ; Pandemics ; Pneumonia, Viral/mortality* ; Retrospective Studies ; Risk Factors ; SARS-CoV-2

Through literature review and group discussion, Special Expert Group for Control of the Epidemic of Novel Coronavirus Pneumonia of the Chinese Preventive Medicine Association formulated an update on the epidemiological characteristics of novel coronavirus pneumonia (NCP). The initial source of the 2019 novel coronavirus (2019-nCoV) was the Huanan seafood market in Wuhan, Hubei province, China, with pangolins as a potential animal host. Currently the main source of infection is NCP patients, and asymptomatic carriers may also be infectious. The virus is believed transmitted mostly via droplets or contact. People are all generally susceptible to the virus. The average incubation period was 5.2 days, and the basic reproductive number R(0) was 2.2 at the onset of the outbreak. Most NCP patients were clinically mild cases. The case fatality rate was 2.38%, and elderly men with underlying diseases were at a higher risk of death. Strategies for prevention and control of NCP include improving epidemic surveillance, quarantining the source of infection, speeding up the diagnosis of suspected cases, optimizing the management of close contacts, tightening prevention and control of cluster outbreaks and hospital infection, preventing possible rebound of the epidemic after people return to work from the Chinese Spring Festival holiday, and strengthening community prevention and control.
Aged ; Animals ; Asymptomatic Diseases/epidemiology* ; Betacoronavirus ; COVID-19 ; China/epidemiology* ; Contact Tracing ; Coronavirus ; Coronavirus Infections/epidemiology* ; Humans ; Infectious Disease Incubation Period ; Male ; Pandemics ; Pneumonia, Viral/epidemiology* ; Public Health Surveillance/methods* ; Quarantine ; SARS-CoV-2