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DOI 10.1016/j.meegid.2024.105570

Медицинская библиотека · Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2024

Metagenomic next-generation sequencing for diagnosis of fatal Balamuthia amoebic encephalitis.

Qin Lixia, Xiang Yaqin, Wu Ziwei, Zhang Hainan, Wu Xiaomei, Chen Qihua

Клинический случайСтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

INTRODUCTION

Balamuthia amoebic encephalitis (BAE), caused by Balamuthia mandrillaris, is a rare and life-threatening infectious disease with no specific and effective treatments available. The diagnosis of BAE at an early stage is difficult because of the non-specific clinical manifestations and neuroimaging.

CASE DESCRIPTION: A 52-year-old male patient, who had no previous history of skin lesions, presented to the emergency department with an acute headache, walking difficulties, and disturbance of consciousness. The patient underwent a series of examinations, including regular cerebrospinal fluid (CSF) studies and magnetic resonance imaging, and tuberculous meningoencephalitis was suspected. Despite being treated with anti-TB drugs, no clinical improvement was observed in the patient. Following corticosteroid therapy, the patient developed a rapid deterioration in consciousness with dilated pupils. Metagenomic next-generation sequencing (mNGS) revealed an unexpected central nervous system (CNS) amoebic infection, and the patient died soon after the confirmed diagnosis.

CONCLUSION

This study highlights the application of mNGS for the diagnosis of patients with suspected encephalitis or meningitis, especially those caused by rare opportunistic infections.

Для цитирования: Qin Lixia, Xiang Yaqin, Wu Ziwei, Zhang Hainan, Wu Xiaomei, Chen Qihua. Metagenomic next-generation sequencing for diagnosis of fatal Balamuthia amoebic encephalitis.. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases. 2024. DOI: 10.1016/j.meegid.2024.105570.

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