Aleksa Despotovic
University of Belgrade
6 Papers
12 Citations
Aleksa Despotovic is an academic researcher from University of Belgrade. The author has contributed to research in topics: Medicine & Framingham Risk Score. The author has an hindex of 2, co-authored 6 publications.
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Papers
Hospital-acquired infections in the adult intensive care unit-Epidemiology, antimicrobial resistance patterns, and risk factors for acquisition and mortality.
Aleksa Despotovic,Branko Milosevic,Ivana Milosevic,Nikola Mitrovic,Andja Cirkovic,Snezana Jovanovic,Goran Stevanovic +6 more
TL;DR: Prevalence of HAIs and resistance rates are high compared to ICUs in other European countries and large-scale studies are necessary to look at HAIs in adult ICU in Serbia.
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The Impact of COVID-19 on the Profile of Hospital-Acquired Infections in Adult Intensive Care Units.
Aleksa Despotovic,Branko Milosevic,Andja Cirkovic,Ankica Vujovic,Ksenija Cucanic,Teodora Cucanic,Goran Stevanovic +6 more
TL;DR: A two-year retrospective study from April 2019-April 2021 was conducted in an adult ICU at the Hospital for Infectious and Tropical Diseases, Belgrade, Serbia to assess causative agents of hospital-acquired infections and AMR rates, with the COVID-19 pandemic ensuing halfway through the study as mentioned in this paper.
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Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study.
Mohammad A. Dabbah,Angus B. Reed,Adam T.C. Booth,Arrash Yassaee,Aleksa Despotovic,Benjamin Klasmer,Emily Binning,Mert Aral,David Plans,Davide Morelli,Alain B. Labrique,Diwakar Mohan +11 more
TL;DR: In this paper, the authors developed and validated prediction models, using the UK Biobank, to estimate COVID-19 mortality risk in confirmed cases, using baseline characteristics, pre-existing conditions, symptoms, and vital signs, such that the score could dynamically assess mortality risk with disease deterioration.
Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study
Nikola Dolezalova,Angus B. Reed,Aleksa Despotovic,Bernard Dillon Obika,Davide Morelli,Mert Aral,David Plans,David Plans +7 more
- 30 Sep 2021
TL;DR: In this article, the authors developed a new risk model (DiCAVA) using statistical and machine learning techniques that could be applied in a remote setting to identify new patient-centric variables that can be incorporated into CVD risk assessments.
Antimicrobial resistance in patients with urinary tract infections and the impact on empiric therapy in Serbia.
Simon Zec,Aleksa Despotovic,Aleksandra Spurnic-Radovanovic,Ivana Milosevic,Milica Jovanović,Mijomir Pelemis,Goran Stevanovic +6 more
TL;DR: Age and gender demonstrated to be significant factors for determining proper empiric therapy; large-scale studies from Serbia are needed to solidify these findings.