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1.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308272

ABSTRACT

Background: Since December 2019, a severe novel coronavirus (SARS-CoV-2) infection (Coronavirus Disease 2019,COVID-19) has occurred in Wuhan, China, and has rapidly spread to the country and around the world. This study intends to investigate the epidemiological and clinical characteristics of patients with COVID-19 in a surrounding city of Wuhan. Methods: : A retrospective study was conducted on 208 cases of COVID -19 patients from February 11, 2020 to February 29, 2020 in Xiaogan dongnan Hospital, collected basic information, history of exposure, medical history, clinical symptoms, laboratory indicators and pulmonary imaging Data, and analyzed the epidemiological and clinical characteristics of all patients. According to the clinical classification criteria, 208 patients were divided into light group and ordinary group, and the epidemiological and clinical characteristics of the two groups were compared. Results: : Among 208 patients in this study, with a median age of 50.5 years (IQR,36-64.7,range,10-91 years), among which 107 (51.4%) were males and 101 (48.6%) were females. 51 (24.5%) had a clear exposure to COVID-19 infection within 2 weeks before admission, and 40 (19.2%) had a history of residence or exposure in Wuhan within 2 weeks before admission. Among all the patients, there were 16 (7.7%) with pulmonary diseases, 41 (19.7%) with hypertension, 11 (5.3%) with coronary heart disease, 13 (6.3%) with diabetes, 12(5.8%) with a history of alcohol consumption, and 12(5.8%) with a history of smoking. Among all clinical symptoms, 146 cases (70.2%) of fever, the highest temperature range was 37.3℃-41℃ before admission, 115 (55.3%) cases of cough, and 57 (27.4%) cases of chest tightness, 47 (22.6%) cases of fatigue, 28 (13.5%) cases of inappetence, 9 (4.3%) cases of diarrhea, 7 (3.4%) cases of nasal congestion or runny nose , and 5 ( 2.4%) cases of pharyngalgia. Analysis of the laboratory results of 208 patients showed that 42 (20.2%) cases had decreased white blood cell count, and 61 (29.3%) cases had decreased lymphocyte count. There were 154 (74%) cases with elevated CRP, 50 (24%) cases with elevated fasting blood glucose, and 23 (11.1%) cases with elevated LDH (>245U/L). The comparison of clinical characteristics between the light group and the common group showed that the median age of the light group was 44.8 years (IQR 30-58), the median age of the common group was 53.1 years (IQR 38.8-67) (P<0.01). The symptoms of fever [53(80.3%) vs 93(65.5%),P<0.05], fatigue [53(80.3%) vs 93(65.5%),P<0.05] and inappetence [4(6.1%) vs 24(16.9%),P<0.05] in the light group were less than those in the common group. The white blood cell count (5.48 vs 6.37, P<0.05), lymphocyte count (1.40 vs 1.61, P<0.05) and HDL-C (1.5 vs 1.3, P<0.05) of the common group were lower than that of the light group, while CRP (26.5 vs 22.1, P<0.01), AST (22.9 vs 18.5, P<0.05), fasting blood glucose (5.8 vs 5.6, P<0.05), LDH (196.8 vs 157.9, P<0.001) of the common group were higher than that of the light group. Conclusion: COVID-19 infection is mainly in middle-aged and elderly patients, patients with other diseases are more susceptible to infection. The main symptoms of COVID-19 infection were fever, cough, chest tightness, fatigue, and inappetence. Decreased lymphocyte count, increased CRP concentration, increased LDH concentration and decreased HDL-C concentration were the laboratory features of COVID-19 infection, and were important indicators to assess the severity of COVID-19 disease.

2.
Risk Manag Healthc Policy ; 13: 979-987, 2020.
Article in English | MEDLINE | ID: covidwho-703762

ABSTRACT

BACKGROUND: Coronavirus infection disease 2019 (COVID-19) occurred in Wuhan in December 2019. With the spread of the virus, the global epidemic situation has become extremely serious, especially in the United States, Spain and Italy. Due to a series of control measures, the epidemic situation in Wuhan has been alleviated to a certain extent, and this region has entered into a post-epidemic period. The treatment of some acute and worsened cardiovascular diseases has become more complex because of epidemic prevention measures. PATIENTS AND METHODS: We examined cardiovascular patients in the emergency department, as well as outpatient clinics and inpatient units in the Zhongnan Hospital of Wuhan University, from March 20th to April 17th, 2020, as the study subjects, and we performed standard medical activities according to the principles of border treatment and border protection. Additionally, we aimed to minimize the adverse effects of the epidemic on the therapy that was administered to cardiology patients. RESULTS: Due to this standard and feasible strategy, the cardiology department admitted a total of 97 patients, with 36 patients being discharged. No patients have been observed to become infected with SARS-CoV-2 in the cardiology department. In addition, we have no outpatient, caregivers or medical staff infected. CONCLUSION: Our study aimed to provide prevention and treatment strategies for the rapid and effective medical recovery of patients in non-COVID-19 designated hospitals in high-risk areas after remission, as well as in low- and medium-risk areas.

3.
Biosci Rep ; 40(8)2020 08 28.
Article in English | MEDLINE | ID: covidwho-690426

ABSTRACT

The new 2019 coronavirus disease (COVID-19), according to the World Health Organization (WHO), has been characterized as a pandemic. As more is being discovered about this virus, we aim to report findings of the complete blood count (CBC) of COVID-19 patients. This would serve in providing physicians with important knowledge on the changes that can be expected from the CBC of mild and normal COVID-19 patients. A total of 208 mild and common patients were admitted at the Dongnan Hospital located in the city of Xiaogan, Hubei, China. The CBCs of these patients, following a confirmed diagnosis of COVID-19, were retrospectively analyzed and a significant P<0.05 was found after a full statistical analysis was conducted using the Statistical Package for the Social Sciences (IBM SPSS). CBC analysis revealed changes in the levels of red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and C-reactive protein (CRP). Clinicians should expect similar findings when dealing with the new COVID-19.


Subject(s)
Betacoronavirus/pathogenicity , Coronary Disease/diagnosis , Coronavirus Infections/diagnosis , Diabetes Mellitus/diagnosis , Hypertension/diagnosis , Pneumonia, Viral/diagnosis , Respiratory Insufficiency/diagnosis , Adult , Aged , Asymptomatic Diseases , Blood Cell Count , C-Reactive Protein/metabolism , COVID-19 , China/epidemiology , Comorbidity , Coronary Disease/blood , Coronary Disease/epidemiology , Coronary Disease/physiopathology , Coronavirus Infections/blood , Coronavirus Infections/epidemiology , Coronavirus Infections/physiopathology , Diabetes Mellitus/blood , Diabetes Mellitus/epidemiology , Diabetes Mellitus/physiopathology , Erythrocyte Indices , Erythrocytes/pathology , Erythrocytes/virology , Female , Hematocrit , Hemoglobins/metabolism , Humans , Hypertension/blood , Hypertension/epidemiology , Hypertension/physiopathology , Male , Middle Aged , Pandemics , Pneumonia, Viral/blood , Pneumonia, Viral/epidemiology , Pneumonia, Viral/physiopathology , Respiratory Insufficiency/blood , Respiratory Insufficiency/epidemiology , Respiratory Insufficiency/physiopathology , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index
4.
Sci China Life Sci ; 63(11): 1678-1687, 2020 11.
Article in English | MEDLINE | ID: covidwho-610883

ABSTRACT

Coronavirus disease 2019 (COVID-19) is a global pandemic which has caused numerous deaths worldwide. The present study investigated the roles of hypoproteinemia in the clinical outcome and liver dysfunction of COVID-19 patients. In this retrospective study, we extracted data from 2,623 clinically confirmed adult COVID-19 patients (>18 years old) between January 29, 2020 and March 6, 2020 in Tongji Hospital, Wuhan, China. The patients were divided into three groups-non-critically ill, critically ill, and death groups-in accordance with the Chinese Clinical Guideline for COVID-19. Serum albumin, low-density lipoproteins cholesterol (LDL-C), and high-density lipoproteins cholesterol (HDL-C) concentrations and inflammatory cytokines levels were measured and compared among these three groups. The median age of these 2,623 patients was 64 years old (interquartile range (IQR), 52-71). Among the patients enrolled in the study, 2,008 (76.6%) were diagnosed as non-critically ill and 615 (23.4%) were critically ill patients, including 383 (14.6%) critically ill survivors and 232 (8.8%) critically ill deaths in the hospital. Marked hypoalbuminemia occurred in 38.2%, 71.2%, and 82.4% patients in non-critically ill, critically ill, and death groups, respectively, on admission and 45.9%, 77.7%, and 95.6% of these three groups, respectively, during hospitalization. We also discovered that serum low-density lipoprotein (LDL) and HDL levels were significantly lower in critically ill and death groups compared to non-critically ill group. Meanwhile, the patients displayed dramatically elevated levels of serum inflammatory factors, while a markedly prolonged activated partial thromboplastin time (APTT) in critically ill patients reflected coagulopathy. This study suggests that COVID-19-induced cytokine storm causes hepatotoxicity and subsequently critical hypoalbuminemia, which are associated with exacerbation of disease-associated inflammatory responses and progression of the disease and ultimately leads to death for some critically ill patients.


Subject(s)
COVID-19/blood , COVID-19/complications , Coronavirus Infections/blood , Coronavirus Infections/complications , Liver Diseases/etiology , Serum Albumin, Human/metabolism , Aged , COVID-19/mortality , China , Cholesterol, HDL/blood , Cholesterol, LDL/blood , Coronavirus Infections/mortality , Critical Illness , Cytokines/blood , Female , Humans , Liver Diseases/blood , Male , Middle Aged , Prognosis , Retrospective Studies , Risk Factors , SARS-CoV-2 , Thromboplastin/metabolism , Time Factors
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