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1.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-325083

ABSTRACT

Aim: The hospitalized children with Mycoplasma pneumonia (M. pneumonia) infection caused by respiratory tract infection in Chengdu were studied and analysis of the epidemiological characteristics was carried out to provide a theoretical basis for clinical diagnosis and treatment. Method: 22882 hospitalized children with respiratory tract infections between January 2014 and December 2020 were collected M . pneumonia IgM antibody was detected by indirect immunofluorescence method and passive agglutination method. Demographic characteristics, clinical diagnose and laboratory data of these children were analyzed.retrospectively.. Result: : The 4213 specimens with M. pneumonia were tested positive, the total positive rate was18.41%(18.30% in male and 22.72% in female). Higher positive rates were found in female children,Look from the statistical analysis results, the consistency between the two sets of data is low(x 2 =198.078、P<0.01). The results of different age patients with contrast different M. pneumonia infection degree were statistically significant(F=162.7532、P<0.01),there was higher M. pneumonia positive rate in Preschoolers and school-age children ,33.98% and 32.98%, respectively.The incidence rate of M. pneumonia in 2017 and 2019 was significantly higher than average (F=538.95, P<0.01)The difference of incidence rate of M. pneumonia was not significant in different months in 2014, 2015 and 2020 (P>0.05). But the probability of M .pneumonia infection patients was much higher from April to May and September to October in2016,2017,2018 and 2019(P<0.05). There was no correlation about M. pneumonia infection with temperature and humidity( P>0.05),there was negative correlation with PM 2.5 (R=0.09362, P<0.01)and PM 10 .(R=0.1185, P<0.01).There was no difference about constituent ratio of case of M. pneumonia infection between 2014 and 2019 (F=32.34,P>0.05).The Common respiratory diseases of M. pneumonia infection , bronchopneumonia accounts for the highest proportion,followed the exacerbation of asthma and severe pneumonia . There was significantly difference about constituent ratio of case of M. pneumonia infection between in 2020 and in other years (F=159.35,P<0.01) . The Common respiratory diseases of M. pneumonia infection , bronchopneumonia accounts for the highest proportion,followed the acute bronchitis and exacerbation of asthma. Conclusion: The distribution and epidemiological trend of M. pneumonia in patients with respiratory tract infection showed the risk of inflammation was connected with the gender, age, year and month, no relationship with temperature and humidity in Chengdu,.Higher M. pneumonia positive rate was shown in the children with bronchial pneumonia and exacerbation of asthma.The prevention measures which controlled the COVID-19 disease had effectively controlled the infection rate of M. pneumonia .

2.
J Infect Dis ; 222(2): 189-193, 2020 06 29.
Article in English | MEDLINE | ID: covidwho-643587

ABSTRACT

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel ß-coronavirus, causes severe pneumonia and has spread throughout the globe rapidly. The disease associated with SARS-CoV-2 infection is named coronavirus disease 2019 (COVID-19). To date, real-time reverse-transcription polymerase chain reaction (RT-PCR) is the only test able to confirm this infection. However, the accuracy of RT-PCR depends on several factors; variations in these factors might significantly lower the sensitivity of detection. METHODS: In this study, we developed a peptide-based luminescent immunoassay that detected immunoglobulin (Ig)G and IgM. The assay cutoff value was determined by evaluating the sera from healthy and infected patients for pathogens other than SARS-CoV-2. RESULTS: To evaluate assay performance, we detected IgG and IgM in the sera from confirmed patients. The positive rate of IgG and IgM was 71.4% and 57.2%, respectively. CONCLUSIONS: Therefore, combining our immunoassay with real-time RT-PCR might enhance the diagnostic accuracy of COVID-19.


Subject(s)
Antibodies, Viral/blood , Betacoronavirus/immunology , Clinical Laboratory Techniques/methods , Coronavirus Infections/diagnosis , Immunoenzyme Techniques/methods , Pneumonia, Viral/diagnosis , Serologic Tests/methods , Adult , COVID-19 , COVID-19 Testing , COVID-19 Vaccines , Coronavirus Infections/immunology , Female , Humans , Immunoglobulin G/blood , Immunoglobulin M/blood , Luminescent Measurements , Male , Middle Aged , Pandemics , Peptides/immunology , Pneumonia, Viral/immunology , Real-Time Polymerase Chain Reaction , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2 , Sensitivity and Specificity , Viral Proteins/immunology
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