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Case Report: Clinical analysis of a cluster outbreak of chlamydia psittaci pneumonia

OBJECTIVE: To explore the clinical characteristics and prognosis of clustered cases of psittacosis pneumonia. METHOD: We retrospectively analyzed the clinical data of a cluster outbreak of psittacosis pneumonia. The analysis included epidemiological data, clinical symptoms, laboratory results, and p...

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Detalles Bibliográficos
Autores principales: Wu, Yinxia, Xu, Xuemei, Liu, Yun, Jiang, Xiangwei, Wu, Hongjing, Yang, Jie, He, Limei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448816/
https://www.ncbi.nlm.nih.gov/pubmed/37637462
http://dx.doi.org/10.3389/fcimb.2023.1214297
Descripción
Sumario:OBJECTIVE: To explore the clinical characteristics and prognosis of clustered cases of psittacosis pneumonia. METHOD: We retrospectively analyzed the clinical data of a cluster outbreak of psittacosis pneumonia. The analysis included epidemiological data, clinical symptoms, laboratory results, and prognosis. The diagnosis was made using mNGS and nested PCR technology. RESULT: Of the four cases, two had direct contact with diseased poultry while the other two did not. All cases presented with more than 39.5 °C fever and chills. Additionally, significant increases in C-reactive protein, ferritin, creatine kinase, and lactate dehydrogenase were observed in all cases, while absolute lymphocyte count decreased. Case 2 also had increased calcitonin levels. Acute respiratory failure occurred during the treatment of case 1 and case 2, leading to tracheal intubation and ventilator-assisted ventilation. Unfortunately, case 2 passed away due to sepsis and multiple organ dysfunction, while the other cases had a positive prognosis. CONCLUSION: mNGS facilitated the early diagnosis of psittacosis pneumonia. It is important to note that there is still a substantial risk of human-to-human transmission in psittacosis pneumonia. Absolute lymphocyte count and calcitonin levels can predict the severity and prognosis of the disease.