PURPOSE: The aim of this study is to compare metabolic syndrome with syndrome Z growing epidemic in terms of risk factors, demographic variables, and gender differences in our large cohort at southeastern area in Turkey. METHODS: Data of patients admitted to sleep clinic in University of Gaziantep from January 2006 to January 2011 were retrospectively evaluated. ATP III and JNC 7 were used for defining metabolic syndrome and hypertension. RESULTS: Data of 761 patients were evaluated. Hypertension, diabetes mellitus, coronary artery disease, pulmonary hypertension, and left ventricular hypertrophy were more common in patients with syndrome Z than in patients without metabolic syndrome. Age, waist/neck circumferences, BMI, triglyceride, glucose, and Epworth sleepiness scale score were detected higher, whereas the minimum oxygen saturation during sleep was lower in patients with syndrome Z. Metabolic syndrome was more common in sleep apneic subjects than in controls (58 versus 30 %). Female sleep apneics showed higher rate of metabolic syndrome than those of males (74 versus 52 %). Hypertension, diabetes mellitus, coronary artery disease, and left ventricular hypertrophy were detected higher in males with syndrome Z than in males without metabolic syndrome. Snoring and excessive daytime sleepiness were detected higher in females with syndrome Z than in females without metabolic syndrome. Systemic/pulmonary hypertension, diabetes mellitus, and left ventricular hypertrophy were more common in females with syndrome Z than in females without metabolic syndrome. Complaints of headache and systemic/pulmonary hypertension were more common among females than males with syndrome Z. Female syndrome Z patients had lower minimum oxygen saturation than male patients with syndrome Z. CONCLUSIONS: Metabolic syndrome in sleep apneic patients is more prevalent than in controls. All metabolic syndrome parameters were significantly different among obstructive sleep apneic patients with respect to gender with more severe coronary risk factors in males.
PURPOSE: The aim of this study is to compare metabolic syndrome with syndrome Z growing epidemic in terms of risk factors, demographic variables, and gender differences in our large cohort at southeastern area in Turkey. METHODS: Data of patients admitted to sleep clinic in University of Gaziantep from January 2006 to January 2011 were retrospectively evaluated. ATP III and JNC 7 were used for defining metabolic syndrome and hypertension. RESULTS: Data of 761 patients were evaluated. Hypertension, diabetes mellitus, coronary artery disease, pulmonary hypertension, and left ventricular hypertrophy were more common in patients with syndrome Z than in patients without metabolic syndrome. Age, waist/neck circumferences, BMI, triglyceride, glucose, and Epworth sleepiness scale score were detected higher, whereas the minimum oxygen saturation during sleep was lower in patients with syndrome Z. Metabolic syndrome was more common in sleep apneic subjects than in controls (58 versus 30 %). Female sleep apneics showed higher rate of metabolic syndrome than those of males (74 versus 52 %). Hypertension, diabetes mellitus, coronary artery disease, and left ventricular hypertrophy were detected higher in males with syndrome Z than in males without metabolic syndrome. Snoring and excessive daytime sleepiness were detected higher in females with syndrome Z than in females without metabolic syndrome. Systemic/pulmonary hypertension, diabetes mellitus, and left ventricular hypertrophy were more common in females with syndrome Z than in females without metabolic syndrome. Complaints of headache and systemic/pulmonary hypertension were more common among females than males with syndrome Z. Female syndrome Z patients had lower minimum oxygen saturation than male patients with syndrome Z. CONCLUSIONS:Metabolic syndrome in sleep apneicpatients is more prevalent than in controls. All metabolic syndrome parameters were significantly different among obstructive sleep apneicpatients with respect to gender with more severe coronary risk factors in males.
Authors: Meral Uyar; Osman Vrt; Nazan Bayram; Osman Elbek; Esen Savaş; Abdurrahman Altindağ; Deniz Ozçalşkan; Ilker Ozsaraç; Nevhiz Gündoğdu; Haluk A Savaş Journal: South Med J Date: 2011-07 Impact factor: 0.954
Authors: Dietlind L Wahner-Roedler; Eric J Olson; Sujata Narayanan; Richa Sood; Andrew C Hanson; Laura L Loehrer; Amit Sood Journal: Gend Med Date: 2007-12