INTRODUCTION: Health literacy plays an essential role in one's ability to acquire and understand critical medical information in the coronavirus disease 2019 (COVID-19) infodemic and in other pandemics. We aimed to summarise the assessment, levels and determinants of pandemic-related health literacy and its associated clinical outcomes. METHODS: A systematic review was performed in Medline ® , Embase ® , PsycINFO ® , CINAHL ® and four major preprint servers. Observational and interventional studies that evaluated health literacy related to the novel COVID-19, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) were included. Items used in health literacy instruments were grouped under the themes of knowledge, attitudes and practices. Determinants of health literacy were grouped into five domains: sociodemographic, medical, psychological/psychiatric, health systems-related and others. RESULTS: Of the 2,065 articles screened, 70 articles were included. Of these, 21, 17 and 32 studies evaluated health literacy related to COVID-19, SARS and MERS, respectively. The rates of low pandemic health literacy ranged from 4.3% to 57.9% among medical-related populations and from 4.0% to 82.5% among nonmedical populations. Knowledge about the symptoms and transmission of infection, worry about infection, and practices related to mask usage and hand hygiene were most frequently evaluated. Sociodemographic determinants of health literacy were most frequently studied, among which higher education level, older age and female gender were found to be associated with better health literacy. No studies evaluated the outcomes associated with health literacy. CONCLUSION The level of pandemic-related health literacy is suboptimal. Healthcare administrators need to be aware of health literacy determinants when formulating policies in pandemics.
Humans ; Health Literacy ; COVID-19/epidemiology* ; Severe Acute Respiratory Syndrome/epidemiology* ; Health Knowledge, Attitudes, Practice ; Pandemics ; SARS-CoV-2 ; Coronavirus Infections/epidemiology* ; Middle East Respiratory Syndrome Coronavirus ; Female ; Male

Betacoronavirus ; COVID-19 ; Cardiovascular Diseases/complications* ; Consensus ; Coronavirus Infections/epidemiology* ; Epidemics ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology* ; SARS-CoV-2

Objective: To evaluate the efficacy and safety of fibrinolysis strategy in patients with acute ST-segment elevation myocardial infarction (STEMI) during the COVID-19 epidemic, and to provide reference value for optimization of fibrinolytic process on the premise of prevention and control of COVID-19 transmission, including self-protection of medical staff. Methods: The efficacy and safety of fibrinolysis were retrospectively analyzed in 7 patients with acute STEM, who hospitalized from February 29, 2020 to April 3, 2020 in the Department of Cardiology, Wuhan Union Hospital of Tongji Medical College, Huazhong University of Science and Technology. To optimize the fibrinolytic process on the premise of prevention and control of COVID-19 transmission, including self-protection of medical staff, a full-time medical team in charge of fibrinolysis under third-grade protection was established. The acute STEMI patients were treated immediately in a fixed and isolated area in emergency department before receiving green channel fibrinolysis. Blood samples for complete blood count, COVID-19 antibody test and nasopharyngeal swab samples for COVID-19 nucleic acid test were made before fibrinolysis, while the chest CT examination was accomplished after fibrinolysis. By comparing differences of time from the first electrocardiogram (ECG) to fibrinolysis before and after the improvement of fibrinolytic process, the effect of optimization of the fibrinolytic process was evaluated. Results: In the present study, seven patients with acute STEMI received fibrinolysis therapy, 6 of them achieved reperfusion and no bleeding was observed in all of the patients. Five out of the 7 patients were hospitalized after fibrinolysis, and the hospitalization days were 19.6 days on average. By following up to April 14, 2020, none of the 7 patients died. The first 2 patients were treated according to the routine medical procedure and the time from the first ECG to fibrinolysis were 201 and 106 minutes, respectively. After the optimization of the fibrinolytic process, the time from the first ECG to fibrinolysis of the last 5 patients were 42, 46, 51, 43 and 54 minutes, respectively，which was significantly shorter than that before optimization. Conclusions: During the COVID-19 epidemic, fibrinolysis in patients with acute STEMI is safe, effective and easy to implement. Therefore, it is recommended as the top priority for the patients with acute STEMI with indications for fibrinolysis. On the premise of prevention and control of COVID-19 transmission, including self-protection of medical staff, the duration of myocardial ischemia can be shortened by optimization of the fibrinolytic process.
Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology* ; Epidemics ; Fibrinolytic Agents/therapeutic use* ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology* ; Retrospective Studies ; SARS-CoV-2 ; ST Elevation Myocardial Infarction/drug therapy* ; Thrombolytic Therapy ; Time Factors ; Treatment Outcome

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

Adult ; Betacoronavirus ; Clinical Laboratory Techniques ; Coronavirus Infections ; diagnosis ; epidemiology ; etiology ; prevention & control ; therapy ; Diagnosis, Differential ; Extracorporeal Membrane Oxygenation ; Humans ; Pandemics ; prevention & control ; Pneumonia, Viral ; epidemiology ; etiology ; prevention & control ; therapy ; Practice Guidelines as Topic ; Respiration, Artificial

Betacoronavirus ; Consensus ; Coronavirus Infections ; complications ; epidemiology ; prevention & control ; Epidemics ; Humans ; Minimally Invasive Surgical Procedures ; Musculoskeletal Diseases ; complications ; therapy ; Pandemics ; prevention & control ; Pneumonia, Viral ; complications ; epidemiology ; prevention & control

Betacoronavirus ; Clinical Protocols ; Coronavirus Infections ; diagnosis ; epidemiology ; pathology ; therapy ; Humans ; Medicine, Chinese Traditional ; Pandemics ; Pneumonia, Viral ; diagnosis ; epidemiology ; pathology ; therapy

BACKGROUND: The ongoing new coronavirus pneumonia (Corona Virus Disease 2019, COVID-19) outbreak is spreading in China, but it has not yet reached its peak. Five million people emigrated from Wuhan before lockdown, potentially representing a source of virus infection. Determining case distribution and its correlation with population emigration from Wuhan in the early stage of the epidemic is of great importance for early warning and for the prevention of future outbreaks. METHODS: The official case report on the COVID-19 epidemic was collected as of January 30, 2020. Time and location information on COVID-19 cases was extracted and analyzed using ArcGIS and WinBUGS software. Data on population migration from Wuhan city and Hubei province were extracted from Baidu Qianxi, and their correlation with the number of cases was analyzed. RESULTS: The COVID-19 confirmed and death cases in Hubei province accounted for 59.91% (5806/9692) and 95.77% (204/213) of the total cases in China, respectively. Hot spot provinces included Sichuan and Yunnan, which are adjacent to Hubei. The time risk of Hubei province on the following day was 1.960 times that on the previous day. The number of cases in some cities was relatively low, but the time risk appeared to be continuously rising. The correlation coefficient between the provincial number of cases and emigration from Wuhan was up to 0.943. The lockdown of 17 cities in Hubei province and the implementation of nationwide control measures efficiently prevented an exponential growth in the number of cases. CONCLUSIONS The population that emigrated from Wuhan was the main infection source in other cities and provinces. Some cities with a low number of cases showed a rapid increase in case load. Owing to the upcoming Spring Festival return wave, understanding the risk trends in different regions is crucial to ensure preparedness at both the individual and organization levels and to prevent new outbreaks.
Betacoronavirus ; China ; epidemiology ; Coronavirus Infections ; epidemiology ; Emigration and Immigration ; Epidemics ; Humans ; Pandemics ; Pneumonia, Viral ; epidemiology

Betacoronavirus ; Coronavirus Infections ; diagnosis ; epidemiology ; prevention & control ; therapy ; Humans ; Pandemics ; prevention & control ; Pneumonia, Viral ; diagnosis ; epidemiology ; prevention & control ; therapy ; Viral Vaccines ; therapeutic use

Betacoronavirus ; Coronavirus Infections ; epidemiology ; transmission ; Disease Outbreaks ; Humans ; Pandemics ; Pneumonia, Viral ; epidemiology ; transmission ; Severe Acute Respiratory Syndrome ; epidemiology