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Diagnostic value of metagenomics next-generation sequencing technology in disseminated strongyloidiasis.
Song, Peng; Li, Xia.
  • Song P; Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China.
  • Li X; Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong Province, China. lxia0718@163.com.
World J Clin Cases ; 10(33): 12455-12457, 2022 Nov 26.
Article in English | MEDLINE | ID: covidwho-2155829
ABSTRACT
The symptoms of disseminated strongyloidiasis are not typical, and it is difficult for clinicians to identify strongyloidiasis in some non-endemic areas. We report a 70-year-old woman who was diagnosed with Guillain-Barré syndrome due to autonomic disturbance, symmetrical bulbar palsy, and lower-motor-nerve damage in the extremities; her symptoms continued to worsen after hormone and immunoglobulin therapy. Later, parasitic larvae were found in the patient's gastric fluid, and metagenomic next generation sequencing (mNGS) detection of bronchoalveolar-lavage fluid also found a large number of Strongyloides roundworms. The patient was diagnosed with disseminated strongyloidiasis. The patient was given albendazole for anthelmintic treatment, but died two days after being transferred to the intensive care unit due to the excessive strongyloidiasis burden. In recent years, mNGS has been increasingly used in clinical practice, and is becoming the main means of detecting strongyloides stercoralis in non-endemic areas. Especially during the corona virus disease 2019 pandemic, mNGS technology has irreplaceable value in identifying the source of infection.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: World J Clin Cases Year: 2022 Document Type: Article Affiliation country: Wjcc.v10.i33.12455

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: World J Clin Cases Year: 2022 Document Type: Article Affiliation country: Wjcc.v10.i33.12455