Browsing by Author "Simic, S. (57526929000)"

Background: Although urea kinetic modeling indices for measuring dialysis dose are recommended by world expert groups, it is not quite clear whether some of these are superior in predicting the outcome over others. This prospective, single-center study was carried out with the aim to compare predictive value of different indices and methods of measuring dialysis dose. Methods: The analysis included 93 anuric patients having been on hemodialysis for at least 2 years who were followed-up for 75-months. The dialysis dose was measured by Kt/V (formal UKM, 3 and 2 urea samples), Kt/V (Daugirdas), Kt/V (Lowrie), eKt/V (Daugirdas), URR and TAC urea. Results: Correlations between dialysis indices and survival time were significant for all indices (p<0.01) except for TAC. All indices, except for TAC urea, were significant predictors of mortality (multivariate Cox regression analysis; p<0.01) and differences of significant levels among these colinear parameters were small. Conclusion: All examined indices except for TAC urea were highly predictive of patient mortality. Daugirdas and Lowrie simplified Kt/V indices are as predictive of all-cause mortality as more complex formal UKM methods in long-term patients on a 3x4h/week schedule. © Wichtig Editore, 2005.

Background: Although urea kinetic modeling indices for measuring dialysis dose are recommended by world expert groups, it is not quite clear whether some of these are superior in predicting the outcome over others. This prospective, single-center study was carried out with the aim to compare predictive value of different indices and methods of measuring dialysis dose. Methods: The analysis included 93 anuric patients having been on hemodialysis for at least 2 years who were followed-up for 75-months. The dialysis dose was measured by Kt/V (formal UKM, 3 and 2 urea samples), Kt/V (Daugirdas), Kt/V (Lowrie), eKt/V (Daugirdas), URR and TAC urea. Results: Correlations between dialysis indices and survival time were significant for all indices (p<0.01) except for TAC. All indices, except for TAC urea, were significant predictors of mortality (multivariate Cox regression analysis; p<0.01) and differences of significant levels among these colinear parameters were small. Conclusion: All examined indices except for TAC urea were highly predictive of patient mortality. Daugirdas and Lowrie simplified Kt/V indices are as predictive of all-cause mortality as more complex formal UKM methods in long-term patients on a 3x4h/week schedule. © Wichtig Editore, 2005.

A new robust modified generalized likelihood ratio algorithm, which enables the changes of mortality rates to be detected automatically, is applied. The procedure is based on the calculation of discrimination function using robust least squares estimates of AR mortality rates residuals. The feasibility of the approach is demonstrated with experimental data concerning infant mortality rate in Serbia. © 1997, The authors.

A new robust modified generalized likelihood ratio algorithm, which enables the changes of mortality rates to be detected automatically, is applied. The procedure is based on the calculation of discrimination function using robust least squares estimates of AR mortality rates residuals. The feasibility of the approach is demonstrated with experimental data concerning infant mortality rate in Serbia. © 1997, The authors.

The science and practice of the New Public Health have a key role in the promotion of people's health and in the reform of the health system. Serbia experienced many social and economic threats to public health during the 1990s when the health infrastructure both for curative and preventive services gradually deteriorated. Existing skills and knowledge of public health professionals are insufficient in virtually all fields of public health activities. The foundation of the Centre - School of Public Health, within the Medical School of Belgrade University has been a precondition for the improvement of professional training in public health. The objectives are described as (1) education of capable experts in the field of public health, (2) improvement of knowledge in the health sciences, (3) health promotion in cooperation with local communities, (4) training of competent researchers in the field of public health and (5) improvement of the process of decision making and policy formulation. The training programme covers five key areas of education in the domain of public health: (1) public health in Europe, (2) epidemiology and biostatistics, (3) health policy and management, (4) health promotion, health education and social sciences and (5) environment and health. In the first year, 27 students were admitted for the Master of Public Health programme and more than 350 participants attended various short courses for continuing education in public health and health management based on applied learning approach. The next developmental steps focus on sustainability of the programmes for continuing education and research and a wider national and international partnership. © Springer-Verlag 2006.

Background Although nowadays smoking is less popular, one-third of adults in Serbia still smoke regularly. The aim of this study was to analyze associations of smoking experience and quitting with gender and socio-economic status. Methods Cross-sectional, population-based nationally representative household survey (Health Survey, 2006). Age- and multivariate-adjusted logistic regression analyses were used to analyze predictors of smoking experience and cessation. Results Of 12 365 interviewed, 51.1% used to smoke: current smokers accounted for 36.8% and former smokers for 14.3%. Higher educated women were more prone to smoking [secondary school: odds ratio (OR), 1.75%; 95% confidence interval (CI), 1.52-2.01; university degree: OR, 1.53; 95% CI, 1.26-1.86], whereas for men the opposite was observed (university degree: OR, 0.72; 95% CI, 0.60-0.86). Education also was 'pro-quitting' factor (university degree: OR, 1.46; 95% CI, 1.07-1.99 for women; university degree: OR, 1.61; 95% CI, 1.23-1.80 for men). To quit smoking, wealth status was gradually more important for women, while just the richest men were more likely to quit smoking (OR, 1.45; 95% CI, 1.09-1.93). Conclusion The poorest women in Serbia and the least educated men are those least likely to quit smoking, which indicates that ability to quit is predicted by socio-economic status. © 2010 The Author Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved.

The paper presents a database on clinically treated patients in Belgrade, a computerized health-statistics information sub-system. It also analyses the organisation of report processing related to hospitalisation, types of indicators on hospital treatment (wich are the result of such a processing) as well as their further utilisation on different levels of management within the system of health care in Belgrade. © 1997, The authors.

The paper presents a database on clinically treated patients in Belgrade, a computerized health-statistics information sub-system. It also analyses the organisation of report processing related to hospitalisation, types of indicators on hospital treatment (wich are the result of such a processing) as well as their further utilisation on different levels of management within the system of health care in Belgrade. © 1997, The authors.