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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: The aim of this work was to know the prevalence of Chlamydophila pneumoniae and Mycoplasma pneumoniae in coronavirus disease 2019 (COVID-19) patients in Jordan. Also, to assess a TaqMan real-time polymerase chain reaction (PCR) assay in detecting these two bacteria. Methods: This is a retrospective study performed over the last five months of the 2021. All nasopharyngeal specimens from COVID-19 patients were tested for C. pneumonia , and M. pneumoniae. The C. pneumoniae Pst-1 gene and M. pneumoniae P1 cytadhesin protein gene were the targets. Results: In this study, 14 out of 175 individuals with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (8.0%) were co-infected with C. pneumoniae or M. pneumoniae. Co-infection with SARS-CoV-2 and C. pneumoniae was reported in 5 (2.9%) patients, while 9 (5.1%) patients had M. pneumoniae and SARS-CoV-2 co-infection. The mean (+/- std) of the correlation coefficient of the calibration curve for real-time PCR analysis was -0.993 (+/- 0.001) for C. pneumoniae and -0.994 (+/- 0.003) for M. pneumoniae. The mean amplification efficiencies of C. pneumoniae and M. Pneumoniae were 187.62% and 136.86%, respectively. Conclusion: In this first study based in Jordan, patients infected with COVID-19 have a low rate of atypical bacterial co-infection. However, clinicians should suspect co-infections with both common and uncommon bacteria in COVID-19 patients. Large prospective investigations are needed to give additional insight on the true prevalence of these co-infections and their impact on the clinical course of COVID-19 patients.
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Objective: The aim of this work was to know the prevalence of Chlamydophila pneumoniae and Mycoplasma pneumoniae in coronavirus disease 2019 (COVID-19) patients in Jordan. Also, to assess a TaqMan real-time polymerase chain reaction (PCR) assay in detecting these two bacteria. Methods: This is a retrospective study performed over the last five months of the 2021. All nasopharyngeal specimens from COVID-19 patients were tested for C. pneumonia, and M. pneumoniae. The C. pneumoniae Pst-1 gene and M. pneumoniae P1 cytadhesin protein gene were the targets. Results: In this study, 14 out of 175 individuals with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (8.0%) were co-infected with C. pneumoniae or M. pneumoniae. Co-infection with SARS-CoV-2 and C. pneumoniae was reported in 5 (2.9%) patients, while 9 (5.1%) patients had M. pneumoniae and SARS-CoV-2 co-infection. The mean (± std) of the correlation coefficient of the calibration curve for real-time PCR analysis was -0.993 (± 0.001) for C. pneumoniae and -0.994 (± 0.003) for M. pneumoniae. The mean amplification efficiencies of C. pneumoniae and M. Pneumoniae were 187.62% and 136.86%, respectively. Conclusion: In this first study based in Jordan, patients infected with COVID-19 have a low rate of atypical bacterial co-infection. However, clinicians should suspect co-infections with both common and uncommon bacteria in COVID-19 patients. Large prospective investigations are needed to give additional insight on the true prevalence of these co-infections and their impact on the clinical course of COVID-19 patients.
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BACKGROUND: Although Chlamydophila pneumoniae (CP)is known to play a role in atherosclerosis and endothelial injury, its past infection on the mortality of coronavirus disease 2019 (COVID-19), which was also reported to be a vascular disease, remains unknown. METHODS: In this retrospective cohort study, we examined 78 COVID-19 patients and 32 bacterial pneumonia patients who visited a tertiary emergency center in Japan between April 1, 2021, and April 30, 2022. CP antibody levels, including IgM, IgG, and IgA, were measured. RESULTS: Among all patients, the CP IgA-positive rate was significantly associated with age (P = 0.002). Between the COVID-19 and non-COVID-19 groups, no difference in the positive rate for both CP IgG and IgA was observed (P = 1.00 and 0.51, respectively). The mean age and proportion of males were significantly higher in the IgA-positive group than in the IgA-negative group (60.7 vs. 75.5, P = 0.001; 61.5% vs. 85.0%, P = 0.019, respectively). Smoking and dead outcomes were significantly higher both in the IgA-positive group and IgG-positive group (smoking: 26.7% vs. 62.2, P = 0.003; 34.7% vs. 73.1%, P = 0.002, dead outcome: 6.5% vs. 29.8%, P = 0.020; 13.5% vs. 34.6%, P = 0.039, respectively). Although the log-rank test revealed higher 30-day mortality in the IgG-positive group compared to the IgG-negative group (P = 0.032), Cox regression analysis demonstrated no significant difference between the IgG-positive and negative groups (hazard ratio (HR) = 4.10, 95%CI = 0.94-18.0, P = 0.061). CONCLUSION: The effect of past CP infection on 30-day mortality in COVID-19 patients was not obvious.
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OBJECTIVE: To investigate the diagnosis and clinical characteristics of 10 cases of clustered Chlamydia pneumoniae pneumonia during the prevention and control of the COVID-19 pandemic. METHODS: The clinical data of 10 patients with clustered Chlamydia pneumoniae infection in a college diagnosed and treated by the Third Medical Center of the PLA General Hospital from Mar. 10, 2021 to Mar. 17, 2021 were retrospectively analyzed, the clinical characteristics of Chlamydia pneumoniae infection were summarized, and the diagnosis and treatment plan was selected quickly and accurately. RESULTS: All 10 cases with Chlamydia pneumoniae pneumonia infection had no history of contact with live or dead birds, 80% of them had cough symptom, 50% of them had fever symptom. Laboratory test results showed that 80% of patients had white blood cell count in normal range, 60% of patients had increased c-reactive protein level to varying degrees, 70% of patients had creatine kinase above normal, creatinine and procalcitonin were all normal, and some coagulation function indexes were abnormal. Lung CT scan showed increased density of unilateral lung floccus, nodules or spots, with air bronchial signs and even consolidation. The results of respiratory tract five-link card showed that all 10 patients were positive for Chlamydia pneumoniae immunoglobulin M(IgM) antibody. The nucleic acid sequence of Chlamydia pneumoniae was detected by metagenomics next-generation sequencing(mNGS)in 2 patients after hospitalization. 10 patients were treated with moxifloxacin hydrochloride and sodium chloride injection and moxifloxacin hydrochloride tables in sequences, all of which were cured. After 1 month, the outpatient reexamination of lung CT showed that the inflammation was basically absorbed. CONCLUSION: Chlamydia pneumoniae infection can cause outbreak through respiratory transmission, which tend to occur in the spring. The combination of respiratory pathogen antibody detection and mNGS technology can improve the efficiency of clinical diagnosis and treatment.
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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 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.