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Sistemski pogled na izkušnjo raka in zdravljenja v otroštvu
Roman Korenjak, 1998

DiRROS - Objavljeno: 17.09.2019; Ogledov: 1161; Prenosov: 324
.pdf Celotno besedilo (219,94 KB)

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Informacije in napotki za bolnike, svojce in obiskovalce
2011

Povzetek: V pričujoči knjižici smo na enem mestu združili vse pomembne informacije, ki naj bolnikom, pa tudi njihovim svojcem ali spremljevalcem, olajšajo prihod, gibanje in bivanje na inštitutu. Pomembno je, da vsak bolnik čimprej in kar se da brez ovir pride do svojega zdravnika, medicinske sestre, radiološkega inženirja ali kateregakoli drugega zdravstvenega delavca, ki ga v tistem trenutku potrebuje. Vsem bolnikom in obiskovalcem želimo, da bi se pri nas dobro počutili, pri tem pa naj jim bo ta knjižica v pomoč.
DiRROS - Objavljeno: 25.03.2019; Ogledov: 1020; Prenosov: 247
.pdf Celotno besedilo (299,54 KB)

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Somatic mutations and the risk of undifferentiated autoinflammatory disease in MDS : an under-recognized but prognostically important complication
Abdulla Watad, Mark Kačar, Nicola Luigi Bragazzi, Qiao Zhou, Miriam Jassam, Jan Taylor, Eve Roman, Alexandra Smith, Richard A. Jones, Howard Amital, 2021

Povzetek: Objectives: We theorized that myelodysplastic syndrome (MDS) with somatic mutations and karyotype abnormalities are associated with autoinflammation, and that the presence of autoinflammatory disease affected prognosis in MDS. Methods: One hundred thirty-four MDS patients were assessed for the prevalence of autoinflammatory complications and its link with karyotypes and somaticmutation status. Autoinflammatory complications were described either as well-defined autoinflammatory diseases (AD) or undifferentiated "autoinflammatory disease" (UAD) (defined as CRP over 10.0 mg/L on five consecutive occasions, taken at separate times and not explained by infection). Several patient characteristics including demographic, clinical, laboratory, cytogenetics charts, and outcomes, were compared between different groups. Results: Sixty-two (46.3%) patients had an autoinflammatory complication manifesting as arthralgia (43.5% vs. 23.6%, p = 0.0146), arthritis (30.6% vs. 15.3%, p = 0.0340), skin rash (27.4% vs. 12.5%, p = 0.0301), pleuritis (14.5% vs. 4.2%, p = 0.0371) and unexplained fever (27.4% vs. 0%, p < 0.0001). AD were found in 7.4% of MDS patients (with polymyalgia rheumatic being the most frequently one). Classical autoimmune diseases were found only in 4 MDS patients (3.0%). Transcription factor pathway mutations (RUNX1, BCOR, WTI, TP53) (OR 2.20 [95%CI 1.02-4.75], p = 0.0451) and abnormal karyotypes (OR 2.76 [95%CI 1.22-6.26], p = 0.0153) were associated with autoinflammatory complications. Acute leukaemic transformation was more frequent in MDS patients with autoinflammatory features than those without (27.4% vs. 9.7%, p = 0.0080). Conclusions: Autoinflammatory complications are common inMDS. Somatic mutations of transcription factor pathways and abnormal karyotypes are associated with greater risk of autoinflammatory complications, which are themselves linked to malignant transformation and a worse prognosis.
Ključne besede: myelodysplastic syndromes - genetics, autoinflammation, undifferentiated autoinflammatory disease, molecular characterization, somatic mutations
DiRROS - Objavljeno: 31.03.2021; Ogledov: 655; Prenosov: 402
.pdf Celotno besedilo (684,58 KB)

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Treatment outcome clustering patterns correspond to discrete asthma phenotypes in children
Ivana Banić, Mario Lovrić, Gerald Cuder, Roman Kern, Matija Rijavec, Peter Korošec, Mirjana Kljajić-Turkalj, 2021

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
DiRROS - Objavljeno: 16.08.2021; Ogledov: 452; Prenosov: 270
.pdf Celotno besedilo (1,32 MB)

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