Nomogram model for predicting incomplete immune reconstitution in people living with HIV based on clinical characteristics.

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Title: Nomogram model for predicting incomplete immune reconstitution in people living with HIV based on clinical characteristics.
Authors: Zhang Y; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Hu W; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Zhang X; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Zhang Y; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Zhang Z; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Jiang Q; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Wang S; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Nan Y; Department of Infectious Diseases, Xishui County People's Hospital, Xishui, China., Song S; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China., Xiong Y; Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.; Center for AIDS Research, Wuhan University, Wuhan, China.
Source: Frontiers in immunology [Front Immunol] 2026 Mar 02; Vol. 17, pp. 1762071. Date of Electronic Publication: 2026 Mar 02 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-3224
DOI:10.3389/fimmu.2026.1762071