11. Treatment outcome clustering patterns correspond to discrete asthma phenotypes in childrenIvana Banić, Mario Lovrić, Gerald Cuder, Roman Kern, Matija Rijavec, Peter Korošec, Mirjana Kljajić-Turkalj, 2021, original scientific article Abstract: Despite widely and regularly used therapy asthma in children is not fully controlled. Recognizing the complexity of asthma phenotypes and endotypes imposed the concept of precision medicine in asthma treatment. By applying machine learning algorithms assessed with respect to their accuracy in predicting treatment outcome, we have successfully identified 4 distinct clusters in a pediatric asthma cohort with specific treatment outcome patterns according to changes in lung function (FEV1 and MEF50), airway inflammation (FENO) and disease control likely affected by discrete phenotypes at initial disease presentation, differing in the type and level of inflammation, age of onset, comorbidities, certain genetic and other physiologic traits. The smallest and the largest of the 4 clusters- 1 (N = 58) and 3 (N = 138) had better treatment outcomes compared to clusters 2 and 4 and were characterized by more prominent atopic markers and a predominant allelic (A allele) effect for rs37973 in the GLCCI1 gene previously associated with positive treatment outcomes in asthmatics. These patients also had a relatively later onset of disease (6 + yrs). Clusters 2 (N = 87) and 4 (N = 64) had poorer treatment success, but varied in the type of inflammation (predominantly neutrophilic for cluster 4 and likely mixed-type for cluster 2), comorbidities (obesity for cluster 2), level of systemic inflammation (highest hsCRP for cluster 2) and platelet count (lowest for cluster 4). The results of this study emphasize the issues in asthma management due to the overgeneralized approach to the disease, not taking into account specific disease phenotypes. Keywords: asthma, allergy and immunology, pediatrics, machine learning, treatment outcome, phenotypes, childhood asthma, clustering Published in DiRROS: 16.08.2021; Views: 939; Downloads: 655 Full text (1,32 MB) This document has many files! More... |
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13. CRP projekt : vpliv epidemije covid-19 na obvladovanje raka v SlovenijiTina Žagar, Sonja Tomšič, Mario Fafangel, Mateja Krajc, Ana Mihor, Vesna Zadnik, 2020, published professional conference contribution Keywords: obvladovanje raka, covid-19, javno zdravje Published in DiRROS: 07.04.2021; Views: 1070; Downloads: 314 Full text (99,24 KB) |
14. Navodila ginekologom za delo v programu ZORA : posodobitev 2011Maja Primic-Žakelj, Marjetka Uršič-Vrščaj, Ana Pogačnik, Urška Ivanuš, Andrej Možina, Živa Pohar-Marinšek, Mario Poljak, 2011, dictionary, encyclopaedia, lexicon, manual, atlas, map Keywords: citodiagnostika, presejanje, papiloma virusi, kolposkopija, predrakave spremembe, diagnostika, zdravljenje, zborniki Published in DiRROS: 04.06.2020; Views: 1735; Downloads: 627 Full text (4,75 MB) |
15. Zbornik predavanj2015, proceedings of peer-reviewed scientific conference contributions (domestic conferences) Keywords: papiloma virusi, vakcinacija, presejanje, konizacija, prezgodnji porod, citodiagnostika, predrakave spremembe, kolposkopija, program ZORA, ploščatocelični karcinom, genetsko svetovanje, histopatologija, kazalniki kakovosti, zborniki Published in DiRROS: 02.06.2020; Views: 2007; Downloads: 709 Full text (8,98 MB) |
16. Zbornik predavanj2017, proceedings of peer-reviewed scientific conference contributions (domestic conferences) Keywords: papiloma virusi, presejanje, citodiagnostika, predrakave spremembe, program ZORA, triaža, test HPV, informacijski sistemi, zborniki Published in DiRROS: 02.06.2020; Views: 1756; Downloads: 550 Full text (7,46 MB) |
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20. Umestitev tekočinske citologije v program ZORA : predstavitev pilotne raziskaveVeronika Kloboves-Prevodnik, Mario Poljak, Anja Oštrbenk Valenčak, Jerneja Varl, Margareta Strojan Fležar, Špela Smrkolj, Urška Gašper, Leon Meglič, Maja Primic-Žakelj, Urška Ivanuš, 2019, published scientific conference contribution Keywords: rak materničnega vratu, presejalni programi, citopatologija Published in DiRROS: 10.04.2020; Views: 1795; Downloads: 780 Link to full text This document has many files! More... |