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, izvirni znanstveni članek Povzetek: 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.
Ključne besede: asthma, allergy and immunology, pediatrics, machine learning, treatment outcome, phenotypes, childhood asthma, clustering
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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, objavljeni strokovni prispevek na konferenci Ključne besede: obvladovanje raka, covid-19, javno zdravje
Objavljeno v DiRROS: 07.04.2021; Ogledov: 1100; Prenosov: 316
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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, slovar, enciklopedija, leksikon, priročnik, atlas, zemljevid Ključne besede: citodiagnostika, presejanje, papiloma virusi, kolposkopija, predrakave spremembe, diagnostika, zdravljenje, zborniki
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15. Zbornik predavanj2015, zbornik recenziranih znanstvenih prispevkov na domači konferenci Ključne besede: papiloma virusi, vakcinacija, presejanje, konizacija, prezgodnji porod, citodiagnostika, predrakave spremembe, kolposkopija, program ZORA, ploščatocelični karcinom, genetsko svetovanje, histopatologija, kazalniki kakovosti, zborniki
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16. Zbornik predavanj2017, zbornik recenziranih znanstvenih prispevkov na domači konferenci Ključne besede: papiloma virusi, presejanje, citodiagnostika, predrakave spremembe, program ZORA, triaža, test HPV, informacijski sistemi, zborniki
Objavljeno v DiRROS: 02.06.2020; Ogledov: 1771; Prenosov: 554
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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, objavljeni znanstveni prispevek na konferenci Ključne besede: rak materničnega vratu, presejalni programi, citopatologija
Objavljeno v DiRROS: 10.04.2020; Ogledov: 1819; Prenosov: 783
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