ABSTRACT
Objective: To explore the application value of combined detection of gender, age and blood indicators in predicting the prognosis of patients with novel coronavirus pneumonia (COVID-19).
ABSTRACT
Coronavirus disease 2019 (COVID-19) has now spread all over the world. The National Health Commission of the People's Republic of China reported 78 439 cured and discharged cases, 4634 deaths, 83 462 confirmed cases and 760 818 close contacts as of 25 June 2020. Joint detection of nucleic acids and antibodies has become an important laboratory diagnostic for COVID-19 patients. Disease progression and infection stage can be established based on the biological characteristics of these tests. However, there have been few studies of the different infection stages of COVID-19. We conducted a retrospective analysis to explore the clinical characteristics of COVID-19 patients at different infection stages and to characterize the characteristics of specific serum antibodies at each stage. These pieces of data will provide a theoretical basis for clinical diagnosis and treatment.
Subject(s)
Antibodies, Viral/blood , COVID-19 Serological Testing , COVID-19/diagnosis , Aged , COVID-19/classification , COVID-19/immunology , China , Female , Humans , Immunoglobulin G/blood , Immunoglobulin M/blood , Male , Middle Aged , Retrospective Studies , Severity of Illness IndexABSTRACT
Objective The clinical characteristics and independent risk factors of COVID-19 with myocardial injury were analyzed retrospectively, and the possibility of direct injury of myocardial tissue by virus was discussed. Methods A total of 381 patients with COVID-19 were admitted to Taikang Tongji (Wuhan) Hospital from February 13, 2020 to March 30, 2020. According to the level of hypersensitive troponin T, they were divided into myocardial injury group and non-myocardial injury group, and the basic clinical data of the two groups were compared to analyze the risk factors of myocardial injury. The possibility of direct myocardial injury caused by virus was understood by analyzing the abnormalities of different myocardial injury markers. Results Compared with the nonmyocardial injury group, the myocardial injury group was older (t=10.522, P=0.000), and more people were 60 years old and complicated with underlying diseases (X2=46.559, P=0.000).In terms of clinical classification, there were mainly severe patients in the myocardial injury group and ordinary patients in the non-myocardial injury group, accounting for 53.38% and 72.98%, respectively. The abnormal degree of all kinds of laboratory indexes in the myocardial injury group was higher than that in the myocardial injury group (t=-11.571~4.881, X2=19.551585~186.858, U=-10.729~16.120, P=0.000). Chronic heart disease, D-Dimer 500 ng/ml.
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic has spread to various regions worldwide. As of 27 April 2020, according to real-time statistics released by the World Health Organization, there have been 84 341 confirmed cases and 4643 deaths in China, with more than 2 979 484 confirmed cases and 206 450 deaths outside China. The detection of antibodies produced during the immune response to severe acute respiratory syndrome coronavirus 2 infections has become an important laboratory method for the diagnosis of COVID-19. However, at present, a little research on these specific antibodies has been conducted. In this study, a retrospective analysis was used to explore the dynamic changes of serum immunoglobulin M (IgM) and IgG antibody and factors affecting diagnostic efficacy, so as to provide a theoretical basis for clinical diagnosis and treatment.