The clinical diagnosis of HIV-infection in a specialized hospital

Autor: A. T. Beshimov, E.M. Lustikman, M. L. Goltz, V.H. Fazylov, E. R. Manapova
Rok vydání: 2013
Předmět:
Zdroj: Kazan medical journal. 94:30-34
ISSN: 2587-9359
0368-4814
DOI: 10.17816/kmj1765
Popis: Aim. To assess the structure of opportunistic infections and concomitant diseases, including the stage of infection, in patients hospitalized with HIV-infection. Methods. 40 cases of in-patient treatment of patients diagnosed with HIV aged 25 to 42 (mean age 34.26±1.22), male - 26, female - 14, with mean duration of infection 6,7±0,6 years were analyzed. Results. The patients were admitted to the hospital on 17±3.24 day of the disease, including cases of pulmonary diseases (on 23±3.6 day), cases of chronic hepatitis reactivation and liver cirrhosis decompensation (on 30±10.09 day), cases of acute infections (on 7±1.16 day). Previous psychoactive drug use was confirmed in 28 (70.0%) of patients. 13 (32.5%) patients received treatment with antiretroviral drugs, 3 (7.5%) have abandoned it, the rest had never been offered an antiretroviral treatment. According to the classification by V.I. Pokrovsky, the patient were staged as: stage III - 4 (10.0%) patients, stage IVA - 8 (20.0%), IVB - 11 (27.5)%, IVC - 17 (42.5%) patients. Pulmonary diseases were the most prevalent and were diagnosed in 17 (42,5%) patients, including cases of community-acquired pneumonia (focal, multisegmental, interstitial, lobular) in 8 (47.1%) patients, pulmonary tuberculosis (infiltrative, military, intrathoracic lymph nodes tuberculosis) in 9 (52.9)% patients. Liver diseases (chronic hepatitis B, chronic hepatitis B + C, liver cirrhosis) were the most frequent concomitant diseases and were found in 21 (52.5%) patients. Conclusion. Herpes zoster and liver diseases are the most predominant concomitant diseases at the early stages of HIV-infection, whereas ooportunistic infections, tuberculosis, community-acquired pneumonia and sepsis are typical in patients with late stages of HIV-infection.
Databáze: OpenAIRE
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