Clinical and Metagenomic Characterization of Neurological Infections of People With Human Immunodeficiency Virus in the Peruvian Amazon

Author:

Steinberg Hannah E1ORCID,Ramachandran Prashanth S2345,Diestra Andrea6,Pinchi Lynn7,Ferradas Cusi89,Kirwan Daniela E10,Diaz Monica M11,Sciaudone Michael12,Wapniarski Annie5,Zorn Kelsey C5,Calderón Maritza6,Cabrera Lilia7,Pinedo-Cancino Viviana1314,Wilson Michael R5,Asayag Cesar Ramal1516,Gilman Robert H17,Bowman Natalie M18,Apaza Catherine,Ayachi Melanie,Bocanegra Oliver A,Bok Jeroen,Pinedo Linda Chanamé,Urquizo Marilly Donayre,Gutierrez-Loli Renzo,Pinedo Gaston,Trompeter Grace,Vazquez Sory,Zhu Deanna,

Affiliation:

1. Department of Microbiology and Immunology, University of Illinois Chicago , Chicago, Illinois , USA

2. Department of Infectious Diseases, The Peter Doherty Institute for Immunity and Infection, University of Melbourne , Melbourne , Australia

3. Department of Neurology, The Royal Melbourne Hospital, University of Melbourne , Melbourne , Australia

4. Department of Neurology, St. Vincent’s Hospital, University of Melbourne , Melbourne , Australia

5. Weill Institute for Neurosciences, Department of Neurology, University of California, SanFrancisco , San Francisco, California , USA

6. Laboratorio de Investigación en Enfermedades Infecciosas, Universidad Peruana Cayetano Heredia , Lima , Peru

7. Asociación Benéfica Prisma , Lima , Peru

8. Emerging Diseases and Climate Change Research Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia , Lima , Peru

9. Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis , Davis, California , USA

10. Institute for Infection and Immunity, St George's, University of London , London, United Kingdom

11. Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA

12. Division of Infectious Diseases, Tulane University School of Medicine , New Orleans, Louisiana , USA

13. Laboratorio de Investigación de Productos Naturales Antiparasitarios de la Amazonía, Centro de Investigación de Recursos Naturales, Universidad Nacional de la Amazonía Peruana , Iquitos , Peru

14. Faculty of Human Medicine, Universidad Nacional de la Amazonía Peruana , Iquitos , Peru

15. Department of Clinical Sciences, Universidad Nacional de la Amazonía Peruana , Iquitos , Peru

16. Department of Infectious and Tropical Diseases, Hospital Regional de Loreto , Iquitos , Peru

17. Department of International Health, Bloomberg School of Public Health, Johns Hopkins University , Baltimore, Maryland , USA

18. Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA

Abstract

Abstract Background Neurological opportunistic infections cause significant morbidity and mortality in people with human immunodeficiency virus (HIV) but are difficult to diagnose. Methods One hundred forty people with HIV with acute neurological symptoms from Iquitos, Peru, were evaluated for cerebral toxoplasmosis with quantitative polymerase chain reaction (qPCR) of cerebrospinal fluid (CSF) and for cryptococcal meningitis with cryptococcal antigen test (CrAg) in serum or CSF. Differences between groups were assessed with standard statistical methods. A subset of samples was evaluated by metagenomic next-generation sequencing (mNGS) of CSF to compare standard diagnostics and identify additional diagnoses. Results Twenty-seven participants were diagnosed with cerebral toxoplasmosis by qPCR and 13 with cryptococcal meningitis by CrAg. Compared to participants without cerebral toxoplasmosis, abnormal Glasgow Coma Scale score (P = .05), unilateral focal motor signs (P = .01), positive Babinski reflex (P = .01), and multiple lesions on head computed tomography (CT) (P = .002) were associated with cerebral toxoplasmosis. Photophobia (P = .03) and absence of lesions on head CT (P = .02) were associated with cryptococcal meningitis. mNGS of 42 samples identified 8 cases of cerebral toxoplasmosis, 7 cases of cryptococcal meningitis, 5 possible cases of tuberculous meningitis, and incidental detections of hepatitis B virus (n = 1) and pegivirus (n = 1). mNGS had a positive percentage agreement of 71% and a negative percentage agreement of 91% with qPCR for T gondii. mNGS had a sensitivity of 78% and specificity of 100% for Cryptococcus diagnosis. Conclusions An infection was diagnosed by any method in only 34% of participants, demonstrating the challenges of diagnosing neurological opportunistic infections in this population and highlighting the need for broader, more sensitive diagnostic tests for central nervous system infections.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

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