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A Predictive Model of the HIV Infection Course

https://doi.org/10.58838/2075-1230-2024-102-1-6-11

Abstract

The course of HIV infection depends on the degree of HIV suppression during ART.

The objective: to evaluate feasibility of using three factors: viral load (VL), HIV reservoir and CD8 T cells before ART initiation to estimate future levels of “residual” viremia and develop a predictive model.

Subjects and Methods. 74 naive patients with HIV infection were enrolled in the study. The HIV reservoir, VL and CD4, CD8 counts were tested before ART initiation and then every 6 months. The patients were followed up for 12 months. Discriminant analysis was used.

Results. After 12 months of ART, 69/74 (93.2%) patients had undetectable VL including 14 patients with residual viremia (RV) and 55 in whom no virus was detected. The probability of persisting RV after 12 months of ART was assessed first by one factor – VL prior to ART, after that by three factors – VL, HIV reservoir (HIV DNA), CD8 count prior to ART. A predictive model formula was generated using those factors: D = -5.288-0.001 CD8+1.342VL+0.08 HIV DNA. With discriminant function D>0.065, the patient has a high probability of RV after 12 months of ART; with D ≤0.065, the probability of RV is low. This prognosis should be taken into account when choosing an ART regimen ensuring its maximum optimization.

About the Authors

E. I. Veselova
National Medical Research Center of Phthisiopulmonology and Infectious Diseases, Russian Ministry of Health
Russian Federation

Elena I. Veselova. Candidate of Medical Sciences, Senior Researcher of Infectious Pathology Research Department

4 Dostoevsky St., Moscow, 127473

 



G. D. Kaminskiy
National Medical Research Center of Phthisiopulmonology and Infectious Diseases, Russian Ministry of Health
Russian Federation

Grigoriy D. Kaminskiy, Doctor of Medical Sciences, Head of Infectious Pathology Research Department

4 Dostoevsky St., Moscow, 127473



K. A. Kocharyan
National Medical Research Center of Phthisiopulmonology and Infectious Diseases, Russian Ministry of Health
Russian Federation

Karina A. Kocharyan, Candidate of Medical Sciences, Infectious Disease Physician of Infectious Disease Department

4 Dostoevsky St., Moscow, 127473



A. B. Peregudova
National Medical Research Center of Phthisiopulmonology and Infectious Diseases, Russian Ministry of Health
Russian Federation

Alla B. Peregudova, Candidate of Medical Sciences, Head of Infectious Disease Department, Senior Researcher of Infectious Pathology Research 

4 Dostoevsky St., Moscow, 127473



O. V. Lovacheva
National Medical Research Center of Phthisiopulmonology and Infectious Diseases, Russian Ministry of Health
Russian Federation

Olga V. Lovacheva, Doctor of Medical Sciences, Professor, Chief Researcher of Department for Differential Diagnostics of Tuberculosis

4 Dostoevsky St., Moscow, 127473



A. G. Samoylova
National Medical Research Center of Phthisiopulmonology and Infectious Diseases, Russian Ministry of Health
Russian Federation

Anastasiya G. Samoylova, Doctor of Medical Sciences, Deputy Director for Research 

4 Dostoevsky St., Moscow, 127473



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Review

For citations:


Veselova E.I., Kaminskiy G.D., Kocharyan K.A., Peregudova A.B., Lovacheva O.V., Samoylova A.G. A Predictive Model of the HIV Infection Course. Tuberculosis and Lung Diseases. 2024;102(1):6-11. (In Russ.) https://doi.org/10.58838/2075-1230-2024-102-1-6-11

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ISSN 2075-1230 (Print)
ISSN 2542-1506 (Online)