OBJECTIVES: To explore and analyze the epidemic features of coronavirus disease 2019 (COVID-19) in Hunan Province from January 21, 2020 to March 14, 2020, as well as to investigate the COVID-19 epidemics in each city of Hunan Province. METHODS: The epidemic data was obtained from the official website of Hunan Province's Health Commission. The data of each city of Hunan Province was analyzed separately. Spatial distribution of cumulative confirmed COVID-19 patients and the cumulative occurrence rate was drawn by ArcGIS software for each city in Hunan Province. Some regional indexes were also compared with that in the whole country. RESULTS: The first patient was diagnosed in January 21, sustained patient growth reached its plateau in around February 17. Up to March 14, the cumulative confirmed COVID-19 patients stopped at 1 018. The cumulative occurrence rate of COVID-19 patients was 0.48 per 0.1 million person. The number of cumulative severe patients was 150 and the number of cumulative dead patients was 4. The mortality rate (0.39%) and the cure rate (99.6%) in Hunan Province was significantly lower and higher respectively than the corresponding average rate in the whole country (0.90% and 96.2%, Hubei excluded). The first 3 cities in numbers of the confirmed patients were Changsha, Yueyang, and Shaoyang. While sorted by the cumulative occurrence rate, the first 3 cities in incidence were Changsha, Yueyang, and Zhuzhou. CONCLUSIONS The epidemic of COVID-19 spread out smoothly in Hunan Province. The cities in Hunan Province implement anti-disease strategies based on specific situations on their own and keep the epidemic in the range of controllable.
Betacoronavirus ; China ; epidemiology ; Cities ; epidemiology ; Coronavirus Infections ; epidemiology ; mortality ; Humans ; Pandemics ; Pneumonia, Viral ; epidemiology ; mortality

Many countries in the world have faced with coronavirus disease 2019 (COVID-19) epidemic since December 2019, while the proportion of elderly patients with COVID-19 in severe and death cases is relatively high. At present, China is in the rapid development stage of population aging, and the demand of the elderly for medical care, health care, nursing and life services far exceeds that of other people. Especially in the period of COVID-19, it is particularly urgent to summarize more experience and methods in time to reduce the infection rate, the incidence of critical illness, and the mortality rate. Therefore, this review combines the existing research results with clinic experience of diagnosis and treatment for senile infectious diseases, summarizes the clinical characteristics and puts forward the prevention strategies of elderly COVID-19 patients, which provide evidence for effective prevention and treatment of COVID-19 in elderly patients, improvement of cure rate, and reduction of severe incidence rate and mortality.
Aged ; Betacoronavirus ; China ; Coronavirus Infections ; diagnosis ; mortality ; therapy ; Humans ; Pandemics ; Pneumonia, Viral ; diagnosis ; mortality ; therapy

PURPOSE: Acute respiratory infection, particularly pneumonia, is the most common cause of hospitalization and death among children in developing nations. This study aimed to investigate the characteristics of children and adolescents with pneumonia who visited Emergency Department (ED) in South Korea in 2012. METHODS: We analyzed National Emergency Department Information System (NEDIS) records from 146 EDs in South Korea for all pediatric patients aged ≤18 years who were diagnosed with pneumonia between January and December 2012. RESULTS: Among 38,415 subjects, the male-to-female ratio was 1:0.8. Patients aged <12 months comprised 18.0% of the study population; those aged 1 to 3 years, 54.4%; those aged 4 to 6 years, 16.8%; those aged 7 to 12 years, 7.4%; and those aged 13 to 18 years, 3.4%. Presentation rates were highest in April, followed by January, March, and May. The hospital admission rate was 43.5%, of which 2.6% were in intensive care units. The mortality rate was 0.02%. Based on the International Classification of Diseases, 10th Revision, diagnostic codes, the types of pneumonia according to cause were viral pneumonia (29.0%), bacterial pneumonia (5.3%), Mycoplasmal pneumonia (4.5%), aspiration pneumonia (1.3%), and pneumonia of unknown origin (59.3%). CONCLUSION: Despite the limited data due to the ED data from the NEDIS lacking laboratory results and treatment information, this study reflects well the outbreak patterns among children and adolescents with pneumonia. Our results provide a basis for future studies regarding ED treatment for children and adolescents with pneumonia.
Adolescent* ; Child* ; Developing Countries ; Emergencies* ; Emergency Service, Hospital* ; Hospitalization ; Humans ; Information Systems ; Intensive Care Units ; International Classification of Diseases ; Korea* ; Mortality ; Pneumonia* ; Pneumonia, Aspiration ; Pneumonia, Bacterial ; Pneumonia, Viral

PURPOSE: Acute respiratory infection, particularly pneumonia, is the most common cause of hospitalization and death among children in developing nations. This study aimed to investigate the characteristics of children and adolescents with pneumonia who visited Emergency Department (ED) in South Korea in 2012. METHODS: We analyzed National Emergency Department Information System (NEDIS) records from 146 EDs in South Korea for all pediatric patients aged ≤18 years who were diagnosed with pneumonia between January and December 2012. RESULTS: Among 38,415 subjects, the male-to-female ratio was 1:0.8. Patients aged <12 months comprised 18.0% of the study population; those aged 1 to 3 years, 54.4%; those aged 4 to 6 years, 16.8%; those aged 7 to 12 years, 7.4%; and those aged 13 to 18 years, 3.4%. Presentation rates were highest in April, followed by January, March, and May. The hospital admission rate was 43.5%, of which 2.6% were in intensive care units. The mortality rate was 0.02%. Based on the International Classification of Diseases, 10th Revision, diagnostic codes, the types of pneumonia according to cause were viral pneumonia (29.0%), bacterial pneumonia (5.3%), Mycoplasmal pneumonia (4.5%), aspiration pneumonia (1.3%), and pneumonia of unknown origin (59.3%). CONCLUSION: Despite the limited data due to the ED data from the NEDIS lacking laboratory results and treatment information, this study reflects well the outbreak patterns among children and adolescents with pneumonia. Our results provide a basis for future studies regarding ED treatment for children and adolescents with pneumonia.
Adolescent* ; Child* ; Developing Countries ; Emergencies* ; Emergency Service, Hospital* ; Hospitalization ; Humans ; Information Systems ; Intensive Care Units ; International Classification of Diseases ; Korea* ; Mortality ; Pneumonia* ; Pneumonia, Aspiration ; Pneumonia, Bacterial ; Pneumonia, Viral

Stress-induced cardiomyopathy (SICM) is an acute cardiac condition that causes left ventricular apical ballooning which mimicks acute coronary syndrome. The risk of in-hospital mortality with SICM is generally low (1% to 3%) and supportive care is usually sufficient for resolution. Swine-origin influenza A (H1N1, S-OIV) is a recently spreading pandemic and a serious public health problem. Although most S-OIV infections have a mild, self-limited course, clinical cases resulting in fatalities and associated with variable co-morbidities remain as a serious concern in some individuals. Among such serious complications, there have been few reports of SICM caused by S-OIV infection. We herein report, for the first time in the literature, a case with fatal hemodynamic instability secondary to SICM caused by S-OIV infection with viral pneumonia.
Acute Coronary Syndrome ; Cardiomyopathies ; Hemodynamics ; Hospital Mortality ; Influenza, Human ; Pandemics ; Pneumonia, Viral ; Public Health ; Swine

Betacoronavirus ; Biomedical Research ; COVID-19 ; Coronavirus Infections/mortality* ; Global Health ; Humans ; Pandemics ; Pneumonia, Viral/mortality* ; SARS-CoV-2

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

BACKGROUND: The 2019 novel coronavirus has caused the outbreak of the acute respiratory disease in Wuhan, Hubei Province of China since December 2019. This study was performed to analyze the clinical characteristics of patients who succumbed to and who recovered from 2019 novel coronavirus disease (COVID-19). METHODS: Clinical data were collected from two tertiary hospitals in Wuhan. A retrospective investigation was conducted to analyze the clinical characteristics of fatal cases of COVID-19 (death group) and we compare them with recovered patients (recovered group). Continuous variables were analyzed using the Mann-Whitney U test. Categorical variables were analyzed by χ test or Fisher exact test as appropriate. RESULTS: Our study enrolled 109 COVID-19 patients who died during hospitalization and 116 recovered patients. The median age of the death group was older than the recovered group (69 [62, 74] vs. 40 [33, 57] years, Z = 9.738, P < 0.001). More patients in the death group had underlying diseases (72.5% vs. 41.4%, χ = 22.105, P < 0.001). Patients in the death group had a significantly longer time of illness onset to hospitalization (10.0 [6.5, 12.0] vs. 7.0 [5.0, 10.0] days, Z = 3.216, P = 0.001). On admission, the proportions of patients with symptoms of dyspnea (70.6% vs. 19.0%, χ = 60.905, P < 0.001) and expectoration (32.1% vs. 12.1%, χ = 13.250, P < 0.001) were significantly higher in the death group. The blood oxygen saturation was significantly lower in the death group (85 [77, 91]% vs. 97 [95, 98]%, Z = 10.625, P < 0.001). The white blood cell (WBC) in death group was significantly higher on admission (7.23 [4.87, 11.17] vs. 4.52 [3.62, 5.88] ×10/L, Z = 7.618, P < 0.001). Patients in the death group exhibited significantly lower lymphocyte count (0.63 [0.40, 0.79] vs. 1.00 [0.72, 1.27] ×10/L, Z = 8.037, P < 0.001) and lymphocyte percentage (7.10 [4.45, 12.73]% vs. 23.50 [15.27, 31.25]%, Z = 10.315, P < 0.001) on admission, and the lymphocyte percentage continued to decrease during hospitalization (7.10 [4.45, 12.73]% vs. 2.91 [1.79, 6.13]%, Z = 5.242, P < 0.001). Alanine transaminase (22.00 [15.00, 34.00] vs. 18.70 [13.00, 30.38] U/L, Z = 2.592, P = 0.010), aspartate transaminase (34.00 [27.00, 47.00] vs. 22.00 [17.65, 31.75] U/L, Z = 7.308, P < 0.001), and creatinine levels (89.00 [72.00, 133.50] vs. 65.00 [54.60, 78.75] μmol/L, Z = 6.478, P < 0.001) were significantly higher in the death group than those in the recovered group. C-reactive protein (CRP) levels were also significantly higher in the death group on admission (109.25 [35.00, 170.28] vs. 3.22 [1.04, 21.80] mg/L, Z = 10.206, P < 0.001) and showed no significant improvement after treatment (109.25 [35.00, 170.28] vs. 81.60 [27.23, 179.08] mg/L, Z = 1.219, P = 0.233). The patients in the death group had more complications such as acute respiratory distress syndrome (ARDS) (89.9% vs. 8.6%, χ = 148.105, P < 0.001), acute cardiac injury (59.6% vs. 0.9%, χ = 93.222, P < 0.001), acute kidney injury (18.3% vs. 0%, χ = 23.257, P < 0.001), shock (11.9% vs. 0%, χ = 14.618, P < 0.001), and disseminated intravascular coagulation (DIC) (6.4% vs. 0%, χ = 7.655, P = 0.006). CONCLUSIONS Compared to the recovered group, more patients in the death group exhibited characteristics of advanced age, pre-existing comorbidities, dyspnea, oxygen saturation decrease, increased WBC count, decreased lymphocytes, and elevated CRP levels. More patients in the death group had complications such as ARDS, acute cardiac injury, acute kidney injury, shock, and DIC.
Adult ; Aged ; Aged, 80 and over ; Betacoronavirus ; C-Reactive Protein ; analysis ; Coronavirus Infections ; complications ; mortality ; Female ; Humans ; Male ; Middle Aged ; Oxygen ; blood ; Pandemics ; Pneumonia, Viral ; complications ; mortality ; Retrospective Studies

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

INTRODUCTION: Singapore was one of the first countries affected by the coronavirus disease 2019 (COVID-19) pandemic but has been able to prevent its healthcare system and intensive care units (ICU) from being overwhelmed. We describe the clinical features, management and outcomes of COVID-19 patients with respiratory failure admitted to our ICU. MATERIALS AND METHODS: A case series of COVID-19 patients admitted to our ICU for respiratory failure from 7 February, with data censoring at 30 June 2020, was performed from a review of medical records. RESULTS: Twenty-two COVID-19 patients were admitted to our ICU for respiratory failure. The median age was 54.5 years (IQR 30-45.5), 72.7% were male and had at least one comorbidity. The Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE) II scores were 2.5 (IQR 1.25-7) and 10 (8.25-12) respectively. Thirteen patients required invasive mechanical ventilation (IMV) and had a median PaO2/FiO2 ratio of 194 mmHg (IQR 173-213) after intubation. The 28-day survival was 100%, with 2 patients demising subsequently. The overall ICU mortality rate was 9.1% at the time of data censoring. In IMV survivors, length of IMV and ICU stay were 11 days (IQR 9-17.75) and 16 days (IQR 12-32) respectively. CONCLUSION Low COVID-19 ICU mortality was observed in our "pandemic-ready" ICU. This was achieved by having adequate surge capacity to facilitate early ICU admission and IMV, lung protective ventilation, and slow weaning. Being able to maintain clinical standards and evidence-based practices without having to resort to rationing contributed to better outcomes.
APACHE ; Adult ; Aged ; Betacoronavirus ; Coronavirus Infections ; complications ; mortality ; therapy ; Critical Care ; organization & administration ; Female ; Hospital Mortality ; Hospitalization ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral ; complications ; mortality ; therapy ; Respiration, Artificial ; Respiratory Insufficiency ; mortality ; therapy ; virology ; Retrospective Studies ; Singapore