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N. G. Kulchenko ¹, S. M. Chibisov ¹, I. Z. Eremina ¹, M. A. Vekilyan ², S. P. Syatkin ¹, A. S. Skorik ¹, G. I. Myandina ¹, N. A. Shevkun ¹, E. V. Neborak ¹

Affiliations
1 Federal State Budgetary Institution of Higher Professional Education “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, RU
2 Department of Urology of Non-Governmental Healthcare Institution of Regional Clinical Hospital at the Station Volgograd-1, JSC "Russian Railways", Avtotransportnaya Street, 75, Volgograd, 400131, RU

Abstract

Secondary pyelonephritis occurs in 48.3% - 89.3% of cases and complicates the states of the disease. The effectiveness of therapy and prognosis of the disease depends on chosen methods of antibiotic prophylaxis of pyoinflammatory kidney diseases. The purpose of the research: To improve the results of patients' treatment with complicated calculous pyelonephritis. Materials and methods: We have examined 179 people. This was a retrospective pharmacoepidemiological analysis of medical documents of patients, treated in 2009 and in 2013 in a hospital of Volgograd. The number of women, taking part in the research was 99 (55.4%) and men - 80 (44%). All patients underwent a standard clinical examination, with the mandatory bacteriological urinalysis, renal ultrasound. Results: Among patients with chronic calculous pyelonephritis, the most common infectious agents are the following: E.coli - 72,4%, Staph. epidermidis - 20,8%, P. aeruginosa - 26,8%. The greatest sensitivity to infectious agents possess the next preparations: carbopenems (meronems) - 92%, amoxicillin + clavulanic acid - 86.4%, cefotaxime - 89.4%. The greatest resistance of E.Coli is to ciprofloxacin and ampicillin. Conclusions: The regular review of recommendations for antimicrobial therapy of urinary tract infections is necessary, due to the constant changes in the level of uropathogens resistance.

Keywords

Urolithiasis, Calculous Pyelonephritis, Antibiotic Sensitivity.

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N. G. Kulchenko ¹, A. A. Kostin ², S. M. Chibisov ¹, I. Z. Eremina ¹, A. O. Tolkachev ², S. P. Syatkin ¹, A. S. Skorik ¹, G. I. Myandina ¹, M. L. Blagonravov ¹, V. I. Kuznetsov ¹

Affiliations
1 Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, RU
2 Federal State Budgetary Institution “National Medical Research Radiological Centre” of the Ministry of Health of the Russian Federation, RU

Abstract

Among the main methods of prostate cancer diagnosing, such as finger rectal examination, prostate-specific antigen test, ultrasound examination of prostate, none of them possesses enough specificity and sensitivity. In our research, we used special statistic and mathematic processing (multifactor analysis and binary logic regression) of main prostate cancer symptoms, which allows to suspect prostate cancer with 97% accuracy and also to reduce the frequency of unnecessary biopsies of prostate.

Keywords

Prostate Cancer, Benign Prostatic Hyperplasia, Early Diagnosis.

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