ABSTRACT
Laboratory testing is of great value in the management of autoimmune disease. The results can help confirm a diagnosis, estimate disease severity, aid in assessing treatment effect. But the current autoimmunity laboratory system, including testing standards, quality control and supervision, does not match the national conditions well. As a result, the test reports are not mutual-recognized among laboratories. In the current background of precision medicine, with the advances of technology and the application of deep learning and artificial intelligence in the clinical laboratory field, the autoimmune laboratory has ushered in a new development trend of integration, automation and intelligence.
ABSTRACT
Laboratory testing is of great value in the management of autoimmune disease. The results can help confirm a diagnosis, estimate disease severity, aid in assessing treatment effect. But the current autoimmunity laboratory system, including testing standards, quality control and supervision, does not match the national conditions well. As a result, the test reports are not mutual-recognized among laboratories. In the current background of precision medicine, with the advances of technology and the application of deep learning and artificial intelligence in the clinical laboratory field, the autoimmune laboratory has ushered in a new development trend of integration, automation and intelligence.
ABSTRACT
Objective To investigate the correlation between atypical respiratory pathogens infection and serum total IgE levels . Methods Serum IgM level was detected in 1 913 blood samples of children with atypical respiratory infection by using indirect im‐munofluorescence assay ,including mycoplasma pneumonia(MP) ,legionella pneumophila (LP) ,rickettsia Q(QFR) ,chlamydia pneu‐monia(CPn) ,adenovirus (Adv) ,respiratory syncytial virus (RSV) ,influenza A virus (IAv) ,influenza B virus (IBv) and parainflu‐enza virus (PIV)1/2/3 .The serum total IgE level was detected by immune scatter turbidimetry .Software SPSS 17 .0 was used in data statistical analysis .Results A total of 991 out of 1 913 samples of respiratory inflected children exhibited positive(positive group) ,while 922 exhibited negative(negative group) in indirect immunofluorescence assay .650 out of the 991 positive samples (65 .59% ) contained MP infection and the combination of MP infection and other virus infections .The serum total IgE level in posi‐tive group was significantly higher than that of the negative group ,and the serum total IgE level in samples with MP infection was higher than that in samples with IBv infection ,Adv infection ,and RSV infection .In the samples in which serum total IgE level was higher than the clinical reference range (100 kU/mL) ,the infection rate of MP infection alone was 31 .29% ,which was evidently higher than that in samples of low IgE level(< 100 kU/mL ,21 .30% ) .On the other hand ,the infection rate of RSV alone was 1 .88% and the infection rate of Adv alone was 3 .13% ,which were both evidently lower than those in samples with normal serum total IgE level(both 6 .53% ) .Conclusion MP is the most common pathogen in children with atypical respiratory pathogen infec‐tion ,and can lead to higher serum total IgE levels .
ABSTRACT
opping drinking. They were not influenced by gender, smoking and drinking histories. They could serve as monitoring indexes for recent drinking status on healthy individuals.