32 research outputs found

    Relationships between cotinine, lower respiratory tract infection, and eosinophil cationic protein in children

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    Introduction The aim of this study was to investigate the effect of passive smoking on urine eosinophil cationic protein (u-ECP) in children with lower respiratory tract infections (LRTI)

    The prevalence and causes of sexual problems among premenopausal turkish women

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    Introduction. Sexual dysfunction in females is an important public health problem worldwide. It is suggested that sexual problems among women are more common than the number of diagnosed female sexual dysfunction (FSD) cases indicates

    Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study

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    Ozgur, Su/0000-0002-8993-674X;WOS: 000556223500008PubMed: 32733929Missing observations are always a challenging problem that we have to deal with in diseases that require follow-up. in hospital records for vesicoureteral reflux (VUR) and recurrent urinary tract infection (rUTI), the number of complete cases is very low on demographic and clinical characteristics, laboratory findings, and imaging data. on the other hand, deep learning (DL) approaches can be used for highly missing observation scenarios with its own missing ratio algorithm. in this study, the effects of multiple imputation techniques MICE and FAMD on the performance of DL in the differential diagnosis were compared. the data of a retrospective cross-sectional study including 611 pediatric patients were evaluated (425 with VUR, 186 with rUTI, 26.65% missing ratio) in this research. CNTK and R 3.6.3 have been used for evaluating different models for 34 features (physical, laboratory, and imaging findings). in the differential diagnosis of VUR and rUTI, the best performance was obtained by deep learning with MICE algorithm with its values, respectively, 64.05% accuracy, 64.59% sensitivity, and 62.62% specificity. FAMD algorithm performed withaccuracy = 61.52,sensitivity = 60.20, and specificity was found out to be 61.00 with 3 principal components on missing imputation phase. DL-based approaches can evaluate datasets without doing preomit/impute missing values from datasets. Once DL method is used together with appropriate missing imputation techniques, it shows higher predictive performance.TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114S011]This work was supported by TUBITAK with Project No. 114S011

    The impact of passive smoking on the development of lower respiratory tract infections in children

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    Environmental tobacco smoke is an important public health problem. The objective of this study was to evaluate the effect of passive smoking on lower respiratory tract infections (LRTIs) in children aged 2 - 12 years. A case-control study was conducted on matched-pair design. One-hundred and fifty children with LRTIs and 150 healthy children were included in the study. Data were collected through questionnaire and urine samples for the determination of cotinine levels, and were analysed by McNemar chi-square, paired t-test and Pearson correlation tests. The prevalence of parental self-reported, indoor smoking was 71.3% in children with LRTI and 72.0% in healthy children. Employing 30 ng mg(-1), the cut-off level of urinary cotinine/creatinine as commonly accepted, 87.3% of the children with LRTIs and 84.7% of healthy children were found to be passive smokers ( p = 0.61, odds ratio (OR) 0.93; confidence interval (CI) = 0.34 - 2.53). If 60 ng mg (-1) of urinary cotinine/creatinine was accepted as a cut-off level, it was observed that the rates of passive smoking were 76.7% and 50.7%, respectively (p = 0.000, OR = 4.72; 95% CI = 2.62 - 8.52). Dose-dependent exposure to environmental tobacco smoke was found to be associated with the incidence of LRTI

    PREVALENCE AND RISK FACTORS OF DEMENTIA AMONG COMMUNITY DWELLING ELDERLY PEOPLE IN IZMIR, TURKEY

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    Introduction: The prevalence of dementia is increasing worldwide. The aim of this study was to determine the prevalence and risk factors of dementia among community-dwelling elderly population

    The prevalence and risk factors of dementia in the elderly population in a low socio-economic region of Izmir, Turkey

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    The aim of this Study is to determine the prevalence of and risk factors of dementia in the elderly with a low socio-economical status. The study is a cross-sectional and analytic study. Two hundred and four persons aged 65 years and above were selected by using the cluster sampling method. The presence of dementia was determined by Standardized Mini Mental State Examination (SMMSE). Twenty-three and 18 cut-off points were accepted as the existence of dementia in educated and uneducated older individuals, respectively. Chi-square test. Student's t-test. and logistic regression analysis were used for data analysis. The mean age of older Subjects was 70.8 +/- 6.45 (S.D.): 71.5 +/- 5.9 in males and 70.3 +/- 6.8 in females (p = 0.19). Ninety-one percent of older people had never attended school, 54.6% were living below the poverty level. and 97% of the residences were in squatter settlements. Dementia was determined in 46 older subjects (22.9%). Dementia was found significantly higher in females, in elderly subjects aged 80 years and above. in older subjects who were in a bad or very bad self-health status and in those who had it chronic disease. did not have any occupation, had a lower monthly income, and with a depressive score eight and above (p < 0.05). In our study, the prevalence of dementia in older people was higher. in agreement with many reported studies. We assumed that this was due to the fact that the ratio of the uneducated, poor, and advanced aged subjects in this study was considerably higher. The different prevalence rates in studies demonstrate that the adoption of SMMSE for the study population, the validity-reliability analyses of tests and the standardization of diagnostic criteria are necessary. (c) 2005 Elsevier Ireland Ltd. All rights reserved
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