Publications by authors named "S Ecirli"

Objective  The objective of this study is to evaluate the frequency of iron deficiency (ID) and iron deficiency anemia (IDA) among nursing students working in the internal medicine clinic of our hospital. Methods The study was designed as a prospective cohort study. The study population comprised nursing students working in the internal medicine clinic of our hospital from January 1, 2016, through June 1, 2016.

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Purpose: To investigate the frequency of hypogonadism and its relationship to inflammation and carotid intima-media thickness (CIMT) in male patients with predialysis chronic kidney disease (CKD).

Methods: A total of 105 patients with CKD, 55 (52.4%) as stage 3, 33 (31.

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Objective: The risks of sudden death and cardiac arrhythmia are increased in patients with chronic kidney disease (CKD). Here, we aimed to evaluate the indicators of arrhythmias, such as p-wave dispersion (P-WD), QTc dispersion, Tp-e and Tp-e/QT ratio in patients with CKD stages 3-5 on no renal replacement therapy (RRT).

Material And Methods: One-hundred and thirty three patients with CKD stages 3-5 and 32 healthy controls were enrolled into the study.

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Introduction: Chronic kidney disease (CKD) patients have more frequent sleep disorders and cardiovascular disease than normals. Since arterial stiffness as a risk factor of atherosclerosis can be evaluated with pulse wave velocity (PWV), we aimed to investigate the prevalance of sleep quality (SQ) and the relationship between SQ and risk factors of atherosclerosis and whether there is a relationship between SQ and PWV (the indicator of arterial stiffness) in predialysis CKD patients.

Methods: This cross-sectional study was carried out in CKD patients followed at the Nephrology Department in Konya, Turkey, between November 2014 and March 2015.

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Background: Visceral adiposity index (VAI) is a proposed parameter to evaluate visceral obesity instead of waist circumference (WC) in patients with polycystic ovary syndrome (PCOS). We aimed to evaluate VAI levels in overweight and/or obese, and non-obese PCOS patients and investigate the association between metabolic and inflammatory parameters.

Methods: Seventy-six PCOS patients between 18 and 40, and 38 age- and BMI-matched controls were enrolled into the study.

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