Yazar "Zararsiz, Gokmen" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim Yok
    Öğe
    Analysis of liver fibrosis equations as a potential role of predictive models in Crimean-Congo hemorrhagic fever
    (Elsevier, 2024) Bolat, Serkan; Buyuktuna, Seyit Ali; Ipekten, Funda; Dogan, Kuebra; Zararsiz, Gokmen; Doang, Halef Okan
    Crimean-Congo Hemorrhagic Fever (CCHF) is a formidable global health concern, characterized by its rapid onset and high fatality rate. Distinguishing between patients at different stages remains challenging because of overlapping clinical features. This study aimed to evaluate the diagnostic efficacy of 14 hepatic fibrosis indices for distinguishing fatal cases and intensive care unit requirement (ICU) in CCHF. This study enrolled 194 patients with confirmed CCHF. Laboratory measurements were performed using auto analyzers. Indirect indicators of fibrosis were calculated for each patient based on previously described formulas. Time-dependent receiver operating characteristic (tdROC) curve analyses were employed to evaluate the predictive effects of hepatic fibrosis indices on both intensive care unit requirement and overall survival among patients. Regarding the tdROC analyses results, the highest area under the curve statistics were obtained for the baseline S-INDEX, KING, and GPRI scores (0.920, 0.913, and 0.909 respectively) in the estimation of ten-day survival, and the baseline KING, Goteborg University cirrhosis index (GUCI), and gamma-glutamyl transferase to platelet ratio index (GPRI) scores (0.783, 0.773, and 0.769 respectively) in the estimation of intensive care requirements for up to ten days. S-index and KING index emerged as early predictors of ten-day survival, while KING, GUCI, and GPRI indices demonstrated predictive capabilities for ICU admission on the first day. The identified indices have the potential to assist healthcare providers in making timely and informed decisions regarding patient management and treatment strategies. Further research and validation are warranted to solidify the role of these hepatic fibrosis indices in the clinical setting and enhance their broader applicability in the management of CCHF.
  • Küçük Resim Yok
    Öğe
    Concordance of LDL-C Estimating Equations with Direct Enzymatic Measurement in Diabetic and Prediabetic Subjects
    (Mdpi, 2023) Bolat, Serkan; Zararsiz, Gozde Erturk; Dogan, Kuebra; Kochan, Necla; Yerlitas, Serra I.; Cephe, Ahu; Zararsiz, Gokmen
    Low-density lipoprotein cholesterol (LDL-C) is a well-established biomarker in the management of dyslipidemia. Therefore, we aimed to evaluate the concordance of LDL-C-estimating equations with direct enzymatic measurement in diabetic and prediabetic populations. The data of 31,031 subjects included in the study were divided into prediabetic, diabetic, and control groups according to HbA1c values. LDL-C was measured by direct homogenous enzymatic assay and calculated by Martin-Hopkins, Martin-Hopkins extended, Friedewald, and Sampson equations. The concordance statistics between the direct measurements and estimations obtained by the equations were evaluated. All equations evaluated in the study had lower concordance with direct enzymatic measurement in diabetic and prediabetic groups compared to the non-diabetic group. Even so, the Martin-Hopkins extended approach demonstrated the highest concordance statistic in diabetic and prediabetic patients. Further, Martin-Hopkins extended was found to have the highest correlation with direct measurement compared with other equations. Over the 190 mg/dL LDL-C concentrations, the equation with the highest concordance was again Martin-Hopkins extended. In most scenarios, the Martin-Hopkins extended performed best in prediabetic and diabetic groups. Additionally, direct assay methods can be used at low values of the non-HDL-C/TG ratio (<2.4), as the performance of the equations in LDL-C estimation decreases as non-HDL-C/TG decreases.
  • Küçük Resim Yok
    Öğe
    Predictive role of non-viral leukocyte parameters in tracking the development and progression of Crimean-Congo hemorrhagic fever
    (Academic Press Ltd- Elsevier Science Ltd, 2025) Kiymaz, Yasemin Cakir; Bolat, Serkan; Hasbek, Mursit; Buyuktuna, Seyit Ali; Ipekten, Funda; Zararsiz, Gokmen; Dogan, Kubra
    This study aims to investigate the extended leukocyte parameters, known as cell population data (CPD), in Crimean-Congo hemorrhagic fever (CCHF) and to evaluate their diagnostic performance in assessing mortality risk and intensive care unit (ICU) admission requirements. The study included a total of 260 participants, comprising 200 individuals diagnosed with CCHF and 60 healthy controls. CPD analyses were conducted using a Sysmex-XN 9000 complete blood count analyzer. Elevated levels of immature granulocyte (IG) percentage, neutrophil reactivity indices (Ne-X, Ne-Y), dispersion of neutrophil NE-SSC and NE-SFL signals (Ne-WX, Ne-WY), monocyte metabolic activity (Mo-X), and lymphocyte metabolic activity (Ly-X) were observed in CCHF patients compared to controls. Conversely, lymphocyte metabolic activity (Ly-Y) and monocyte fluorescence intensity (Mo-WY) were lower in patients than in controls. In discriminating mortality, IG#, IG%, Ne-WY, and Ly-Y exhibited higher AUC values than other CPDs. Additionally, for predicting ICU requirements, IG#, IG%, and Ne-WY demonstrated higher AUC values compared to other CPDs. IG, Ne-WY, and Ly-Y have the potential to serve as biomarkers for predicting mortality in CCHF. Furthermore, IG and Ne-WY may emerge as innovative and reliable biomarkers for identifying severe cases and predicting ICU admission requirements.
  • Küçük Resim Yok
    Öğe
    Role of interferon regulatory factors in predicting the prognosis of Crimean-Congo hemorrhagic fever
    (Walter De Gruyter Gmbh, 2025) Oksuz, Caner; Dogan, Halef Okan; Zararsiz, Gokmen; Elaldi, Nazif; Buyuktuna, Seyit Ali
    Objectives Crimean-Congo hemorrhagic fever (CCHF) is a severe viral illness with a high fatality rate. The interferon response plays a crucial role in the antiviral defense against the CCHF virus (CCHFV). Interferon regulatory factors (IRFs) are essential for initiating and amplifying the interferon response. In this study, we aimed to evaluate the IRF response in CCHF patients for the first time.Methods This study investigated the expression levels of various IRFs (IRF-1, 2, 3, 4, and 7) in CCHF patients and evaluated their potential association with disease prognosis. The research encompassed a cohort of 60 CCHF patients and 30 healthy volunteers. CCHF was diagnosed with CCHFV positivity using PCR method and/or IgM detection using ELISA method. The quantitative sandwich ELISA technique was employed to determine the levels of serum IRF-1, IRF-2, IRF-3, IRF-4, IRF-7, interferon (IFN)-alpha, and IFN-beta.Results There were statistically significant differences in the levels of serum IRF-1, IRF-2, IRF-3, IRF-4, IRF-7, IFN-alpha, and IFN-beta between the patient and healthy control groups. Patients showed elevated levels in all these factors except for IRF-1. However, no statistically significant differences were found in IRF-1, IRF-2, IRF-3, IRF-4, IRF-7, IFN-alpha, and IFN-beta levels between patients who survived and those who died.Conclusions IFN-alpha and beta likely contribute to the immune response in CCHF. IRF-2, 3, 4, and 7 play crucial roles in IFN-alpha and beta expression, pivotal for the antiviral response in CCHF. Targeted interventions to modulate IRF-1 could alleviate disease severity and overall impact.