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RISS 인기검색어
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- 저자 : Ozge Yuksel (검색결과 3 건)
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Ozge Yilmaz,Ahmet Turkeli,Sebnem Sahin,Hasan Yuksel 대한천식알레르기학회 2014 Allergy, Asthma & Immunology Research Vol.6 No.4
Assessment of asthma control in preschool children is important for therapeutic decisions. Aim of this study was to evaluate the predictive value ofTRACK questionnaire scores for subsequent clinical parameters and to investigate the validity and reliability of the Turkish version of the TRACKquestionnaire. We enrolled 100 children with asthma aged 4 years or younger in this cohort study. We recorded sociodemographic characteristicsand clinical severity parameters. A pediatric allergist filled in the asthma severity scale and the caregiver of the child filled in the TRACK questionnaire. We called in the children again at the end of one month and recorded the same parameters and administered TRACK again. Uncontrolled asthmawas defined as a TRACK score below 80. According to the TRACK score, 65% of the children had controlled asthma initially while at the end ofthe study 64.1% had controlled asthma. At the beginning of the study, all clinical parameters were worse in children with uncontrolled asthma accordingto TRACK score. Similarly, other objective clinical parameters during the following one month period were worse in children with initial uncontrolledasthma. Cronbach’s alpha score for the TRACK questionnaire was 0.84. Turkish TRACK questionnaire is a valid and reliable tool that is predictiveof short term asthma prognosis.
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Role of Adipokines and Hormones of Obesity in Childhood Asthma
Hasan Yuksel,Ayhan Sogut,Ozge Yilmaz,Ece Onur,Gonul Dinc 대한천식알레르기학회 2012 Allergy, Asthma & Immunology Research Vol.4 No.2
Purpose: The aim of this study was to evaluate serum levels of leptin, ghrelin, and adiponectin in obese and non-obese children with asthma and in healthy non-asthmatic children, and analyze their relationships with clinical outcomes. Methods: This study enrolled 40 obese and 51 non-obese children with asthma and 20 healthy children. Body mass index and serum leptin, ghrelin, and adiponectin levels were determined in all children. Asthma symptom scores and lung function test results were recorded for subjects with asthma. Results: Serum leptin levels (11.8±7.9, 5.3±6.8, and 2.1±2.4 ng/mL in the obese asthmatic, non-obese asthmatic, and control groups, respectively) and adiponectin levels (12,586.2±3,724.1; 18,089.3±6,452.3; and 20,297.5±3,680.7 ng/mL, respectively) differed significantly among the groups (P<0.001 for all). Mean ghrelin levels were 196.1±96.8and 311.9±352.8 pg/mL in the obese and non-obese asthmatic groups, respectively, and 348.8±146.4 pg/mL in the control group (P=0.001). The asthma symptom score was significantly higher in the obese children with asthma than in the non-obese children with asthma (P<0.001). Leptin and adiponectin levels were correlated with the asthma symptom score in non-obese children with asthma (r=0.34 and r=-0.62, respectively). Conclusions:Obesity leads to more severe asthma symptoms in children. Moreover, leptin, adiponectin, and ghrelin may play important roles in the inflammatory pathogenesis of asthma and obesity co-morbidity.
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Does Blood Flow Change according to Mood? Blood Rheology in Bipolar Disorder
Tevfik Kalelioglu,Murat Kocabiyik,Burcu Kok,Pelin Unalan,Sule Sozen,Ozge Yuksel,Nesrin Karamustafalioglu 대한정신약물학회 2018 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.16 No.3
Objective: Bipolar disorder (BD) is associated with increased rates of cardiovascular diseases. There is growing evidence that blood viscosity may have a common role, correlated with well-known major risk factors that promote cardiovascular disease. In this study we aimed to investigate the whole blood viscosity (WBV) in different stages of BD. Methods: A total of 121 bipolar patients and 41 age-gender matched healthy controls were included. Forty-four of bipolar patients were in manic, 35 were depressed and 42 were in euthymic state. WBV was calculated from hematocrit and total plasma protein according to Simone’s formula at low and high shear rates (LSR and HSR). Results: WBV at HSR of manic group was 16.91±1.01, depressive group was 17.23±0.80, euthymic group was 17.63± 0.95, and control group was 17.52±0.71 (p =0.001). WBV at LSR of manic depressive, euthymic and control group were 53.10±20.58, 60.30±17.02, 68.91±20.33, and 62.01±19.28, respectively (p =0.001). Both WBV at HSR and LSR of manic group was significantly lower than that of the euthymic and control groups (p =0.001 and 0.010 respectively for HSR, p =0.001 and 0.011 respectively for LSR). WBV was significantly positively correlated with lipid profile except high density lipoprotein (HDL). Conclusion: Our results demonstrate a decrement in blood viscosity in manic episode compared with euthymics and controls. Positive correlation of blood viscosity with lipid parameters (except HDL), and negative correlation with number of previous manic episodes suggest that manic episode has favorable effect on cardiovascular risk regarding to blood viscosity.
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