Development of a multiassay algorithm (MAA) to identify recent HIV infection in newly diagnosed individuals in Indonesia

Ongoing HIV transmission is a public health priority in Indonesia. We developed a new multiassay algorithm (MAA) to identify recent HIV infection. The MAA is a sequential decision tree based on multiple biomarkers, starting with CD4(+) T cells >200/μL, followed by plasma viral load (pVL) > 1,0...

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Detalles Bibliográficos
Autores principales: Wulan, Wahyu Nawang, Yunihastuti, Evy, Arlinda, Dona, Merati, Tuti Parwati, Wisaksana, Rudi, Lokida, Dewi, Grossman, Zehava, Huik, Kristi, Lau, Chuen-Yen, Susanto, Nugroho Harry, Kosasih, Herman, Aman, Abu Tholib, Ang, Sunarto, Evalina, Rita, Ayu Yuli Gayatri, Anak Agung, Hayuningsih, Chakrawati, Indrati, Agnes Rengga, Kumalawati, July, Mutiawati, Vivi Keumala, Realino Nara, Mario Bernardinus, Nurulita, Asvin, Rahmawati, Rahmawati, Rusli, Adria, Rusli, Musofa, Sari, Dewi Yennita, Sembiring, Justina, Udji Sofro, Muchlis Achsan, Susanti, Wiwi Endang, Tandraeliene, Janice, Tanzil, Fransisca Lianiwati, Neal, Aaron, Karyana, Muhammad, Sudarmono, Pratiwi, Maldarelli, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579430/
https://www.ncbi.nlm.nih.gov/pubmed/37854696
http://dx.doi.org/10.1016/j.isci.2023.107986

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579430/
https://www.ncbi.nlm.nih.gov/pubmed/37854696
http://dx.doi.org/10.1016/j.isci.2023.107986

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