Clinical and epidemiological characteristics of 10 cases of clustered Chlamydia pneumoniae pneumonia

ABSTRACT

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.