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1.
Probl Tuberk Bolezn Legk ; (10): 15-9, 2004.
Article in Russian | MEDLINE | ID: mdl-15568312

ABSTRACT

Three groups of the parameters of the therapeutic effects of 3 and 4 antituberculous drugs on renal tuberculous inflammation were identified. The primary effect of 4 drugs was much frequently manifested itself by the normalization of urinalysis and the transfer of cultured to uncultured Mycobacterium tuberculosis (MBT). The equivalent effect of 3 and 4 drugs was characterized by the similar rate of continuation of specific mycobacteriuria, by the detection of MBT in the cavernous contents from the removed tuberculosis-afflicted kidney and by the equivalent morphological characteristics of tuberculous inflammation involution. The negative impact of the therapeutic action of 4-component chemotherapy appeared as a much larger number of cases of intolerance of antituberculous drugs, hepatic and renal failures, and toxic-and-allergic reactions.


Subject(s)
Antitubercular Agents/classification , Antitubercular Agents/therapeutic use , Tuberculosis, Renal/drug therapy , Humans
2.
Probl Tuberk ; (5): 9-11, 1999.
Article in Russian | MEDLINE | ID: mdl-10565206

ABSTRACT

The prevalence and incidence rates of urogenital tuberculosis in the Ukraine in the past 10 years were studied. They tended to decrease in the first period (1988-1992) and to become stable in the second period (1993-1997), being equal to 10.71 and 1.0 per 100,000. In the past 5 years, the incidence of urogenital tuberculosis tended to increase among urban residents as compared to rural ones. These changes show a total trend in the population living in the radioactively polluted area.


Subject(s)
Tuberculosis, Urogenital/epidemiology , Air Pollution, Radioactive , Cohort Studies , Cross-Sectional Studies , Humans , Power Plants , Radioactive Hazard Release , Rural Population , Ukraine/epidemiology , Urban Population
4.
Klin Khir (1962) ; (12): 13-5, 1989.
Article in Russian | MEDLINE | ID: mdl-2632938

ABSTRACT

On the basis of mathematical-statistical analysis of clinical data, 5 risk degrees permitting to predict the course of the disease were distinguished. An algorithm for management of the urologic patients is suggested.


Subject(s)
Algorithms , Urologic Diseases/surgery , Humans , Prognosis , Risk Factors
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