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Objective: To explore the pathogen composition and distribution characteristics of pathogens in respiratory samples from patients with fever of unknown origin. Methods: A total of 96 respiratory samples of patients with unknown cause fever with respiratory symptoms were collected from four hospitals above grade II in Shijiazhuang area (Hebei Provincial Hospital of Traditional Chinese Medicine, Luancheng District People's Hospital, Luquan District People's Hospital, Shenze County Hospital) from January to April 2020, and multiplex-fluorescent polymerase chain reaction(PCR)was used to detect influenza A virus, influenza B virus, enterovirus, parainfluenza virus I/II/III/IV, respiratory adenovirus, human metapneumovirus, respiratory syncytial virus, human rhinovirus, human bocavirus, COVID-19, Mycoplasma pneumoniae, Chlamydia pneumoniae, Legionella pneumophila, Pseudomonas aeruginosa, Streptococcus pneumoniae, Klebsiella pneumoniae, Group A streptococcus, Haemophilus influenzae, Staphylococcus aureus nucleic acid detection, the results were analyzed for chi-square. Results: A total of 8 pathogens were detected in the upper respiratory tract samples of 96 fever patients, including 1 kind of virus, 6 kinds of bacterias, and Mycoplasma pneumoniae. There were 12 viruses including influenza virus and parainfluenza virus, Legionella pneumophila and Chlamydia pneumoniae were not detected. The pathogen detection rates in descending order were Streptococcus pneumoniae (58/96, 60.42%), Haemophilus influenzae(38/96, 39.58%), Klebsiella pneumoniae (14/96, 14.58%), Staphylococcus aureus (10/96, 10.42%), Mycoplasma pneumoniae (8/96, 8.33%), Pseudomonas aeruginosa (6/96, 6.25%), Group A streptococcus (4/96, 4.17%) and human rhinovirus (2/96, 2.08%). The proportions of single-pathogen infection and multi-pathogen mixed infection in fever clinic patients were similar, 41.67% (40/96) and 45.83% (44/96), respectively, and 12.50% (12/96)of the cases had no pathogens detected. The infection rate of Mycoplasma pneumoniae in female patients with fever (21.43%) was higher than that in male patients with fever (2.94%) (P < 0.05). There was no statistical difference between the distribution of of other pathogens and gender and age(P > 0.05). Conclusions: The upper respiratory tract pathogens were mainly bacterial infections, and occasional human rhinovirus and Mycoplasma pneumonia infections. In clinical diagnosis and treatment, comprehensive consideration should be given to the pathogen detection.
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Objective: To describe the clinical features, causal agent and transmission mode of a fever outbreak in a school in Shanghai. Methods: Field epidemiological approaches including case definition development, searching for contacts, distribution of diseases description, environmental sampling and laboratory testing. Results: A total of 16 influenza-like cases were included, all concentrated in the one class of grade two, including 15 students and 1 teacher. Among student cases, the incidence rate was 36.59%(15/41), the average age was 7.4 years, the incidence rate was 36.84%(7/19) for boys, 36.36%(8/22) for girls. The clinical course was 5-15 days, with the median of 9 days, and 18.75%(3/16) of the cases stayed studying while sick. The nasopharyngeal swab specimens in 16 cases all tested positive for influenza B, of which 11 tested positive for mycoplasma pneumoniae and 1 case also tested positive for coronavirus OC43. Body temperature, number of mononuclear cells, and treatment time of patients infected with Influenza B and mycoplasma pneumoniae were higher than those of patients infected with influenza B alone(P < 0.05). The outbreak lasted for 12 days, all sick students were treated and discharged from hospital, with no severe cases or death, and the outbreak was effectively controlled. Conclusion: This campus cluster outbreak caused by influenza B and mycoplasma pneumoniae. Patients with influenza B with mycoplasma pneumoniae have severe symptoms and a long course of illness, suggesting the importance of early management of the epidemic.
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Objective: Provide a digital microfluidic RT-qPCR chip for rapid detection of several upper respiratory diseases. Methods: Several specific primer-probe sets were designed according to the conserved sequences of 2019 novel corona virus(2019-n COV), influenza A virus(Flu A), influenza B virus(Flu B), severe acute respiratory syndrome corona virus(SARS-Co V), Middle East respiratory syndrome corona virus(MERS-Co V), and then packaged into a digital microfluidic chip which allowed simultaneous detection of five upper respiratory tract pathogens with the help of reverse transcription quantitative PCR(RT-q PCR)technology. In the meanwhile, the detection limit, specificity and sensitivity of this digital microfluidic chip were evaluated base on the clinical specimens, plasmids and unrelated pathogens. Results: The established digital microfluidic RT-q PCR chip for 2019-n COV, Flu A, Flu B,SARS-Co V,MERS-Co V had a detection limit of 12 copies/reaction, while the detection limit of the RT-q PCR method without digital microfluidics was 15 copy/reaction;the detection limit of the two methods was basically the same. For nucleic acid samples extracted from clinical samples, the detection results of digital microfluidic RT-q PCR chips were all negative without non-specific amplification. At the same time, the RT-qPCR method and the digital microfluidic RT-qPCR chip method were used to carry out clinical comparative tests of 5 items in 20 clinical samples, total 100 tests. The results showed that the sensitivity of the digital microfluidic RT-q PCR chip reached 94%, the specificity was 100%. SPSS was used to analyze the consistency of the two methods, and the results showed that the two methods had a high degree of consistency(Kappa=0.962, P<0.05). Conclusion: Based on digital microfluidic RT-q PCR chip technology,a multi-target rapid detection method of upper respiratory tract susceptible virus was established, which could provide a new detection method for early clinical identification of respiratory pathogens.
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Objective: In this retrospective study, we aimed to identify viral agents in children hospitalized with ALRTI and to show the relationship between viral agents and clinical characteristics. Material and Methods: Two hundred and fifty five children (55.7% male) who were diagnosed with ALRTI and hospitalized between March 2016 and February 2017 were included in the study. Clinical characteristics of the patients who were examined to detect respiratory tract viruses with PCR analysis in nasopharyngeal swab samples were evaluated by using medical records. The patients were divided into three groups according to their age: under two years old, between 2-6 years old, and between 6-18 years old. Newborns were not included in the study.
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Objective: To evaluate the detection consistency and power of a multiplex combined real-time PCR detection kits, and provide reference for the prevention and control of influenza plus SARS-CoV-2 infection.
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Objective: To understand the change characteristics of respiratory pathogens in hospitalized children with respiratory tract infection in Shunyi district of Beijing from 2019 to 2020, and to provide basis for the prevention and treatment of respiratory tract diseases in children.
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Objective: To analyze the epidemiologic characteristics of common respiratory virus infection in hospitalized children in Wuhan Children's Hospital from January to December 2019, and provide evidence for clinical diagnosis and treatment.
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Objective: To understand the epidemiological and etiological characteristics of influenza-like illness (ILI) in Zhenjiang, Jiangsu province, during 2013-2020, and provide scientific basis for the prevention and control of influenza.
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Objective: To understand the pathogen spectrum in the lower respiratory tracts of 100 suspected cases infected with SARS-CoV-2 in Chaoyang district of Beijing from January to March, 2020.
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BACKGROUND: Mycoplasma pneumoniae atypical pneumonia is frequently associated with erythema multiforme. Occasionally, a mycoplasma infection does not trigger any cutaneous but exclusively mucosal lesions. The term mucosal respiratory syndrome is employed to denote the latter condition. Available reviews do not address the possible association of mucosal respiratory syndrome with further atypical bacterial pathogens such as Chlamydophila pneumoniae, Chlamydophila psittaci, Coxiella burnetii, Francisella tularensis, or Legionella species. We therefore performed a systematic review of the literature addressing this issue in the National Library of Medicine, Excerpta Medica, and Web of Science databases. SUMMARY: We found 63 patients (≤18 years, n = 36; >18 years, n = 27; 54 males and 9 females) affected by a mucosal respiratory syndrome. Fifty-three cases were temporally associated with a M. pneumoniae and 5 with a C. pneumoniae infection. No cases temporally associated with C. psittaci, C. burnetii, F. tularensis, or Legionella species infection were found. Two cases were temporally associated with Epstein-Barr virus or influenzavirus B, respectively.