OBJECTIVE: To explore the roles of cardiovascular disease in obstructive sleep apnea hypopnea syndrome. METHOD: All 228 OSAHS patients underwent the examination of biochemical and complete blood count. The correlation analysis between AHI, AI, HI, LSaO2, complete blood count, and biochemical examination were employed. Two hundred and twenty-eight cases were divided into 3 groups according to sleep apnea hypopnea index (AHI): group 1 (5 < or = AHI < 15), group 2 (15 < or = AHI < 30), group 3 (30 < or = AHI). Morbidity of diseases in each group was calculated and the value of AHI and AI for morbidity was analyzed by using ROC curve. RESULT: (1) No statistically significant difference was found between group 1 and group 2 (chi2 = 0.428, P > 0.05). There was significant difference between group 3 and group 1, 2 (chi2 = 12.89, P < 0.05). The areas under the ROC curves of AHI and AI were 0. 678 and 0. 679,respectively. (2) There was significant positive correlation between AHI and complete blood count parameters (r = 0.176 to 0.194, P < 0.05). CONCLUSION OSAHS may be one of the predisposing factors of cardiovascular disease.
Adult ; Cardiovascular Diseases ; etiology ; Female ; Humans ; Male ; Middle Aged ; Polysomnography ; Risk Factors ; Sleep Apnea, Obstructive ; complications ; diagnosis ; physiopathology ; Young Adult

PURPOSE: Reduced heart rate variability significantly increases cardiovascular mortality. Metabolic syndrome increases the cardiac autonomic dysfunction. Recently, increasing cardiovascular mortality has been reported in patients with schizophrenia. This study was done to compare heart rate variability between adults with and without schizophrenia and to compare the relationship of heart rate variability to metabolic syndrome in hospitalized patients with schizophrenia. METHODS: This was a descriptive and correlational study in which 719 adults without schizophrenia and 308 adults with schizophrenia took part between May and June 2008. We measured the following: five-minute heart rate variability; high-frequency, low-frequency, the ratio of low-frequency to high-frequency, and the Standard Deviation of all the normal RR intervals. Data was also collected on metabolic syndrome, abdominal obesity, triglycerides, HDL cholesterol, blood pressure and fasting glucose. RESULTS: The Standard Deviation of all the normal RR intervals values of heart rate variability indices were 1.53+/-0.18. The low-frequency and high-frequency values of heart rate variability indices were significantly higher in hospitalized patients with schizophrenia (3.89+/-1.36; 3.80+/-1.20) than those in the healthy participants (2.20+/-0.46; 2.10+/-0.46). There were no significant differences between the schizophrenic patients with and without metabolic syndrome. CONCLUSION: The results of this study indicate that schizophrenia patients have significantly lower cardiac autonomic control, but they have significantly higher low-frequency and high-frequency values than those of healthy adults. Use of antipsychotic drug may affect the autonomic nervous system in schizophrenic patients. Metabolic syndrome was not associated with cardiac autonomic control in schizophrenia patients.
Adult ; Autonomic Nervous System/physiopathology ; Blood Glucose/analysis ; Blood Pressure ; Cardiovascular Diseases/complications/diagnosis/mortality ; Cholesterol, HDL/blood ; Female ; *Heart Rate ; Hospitalization ; Humans ; Male ; Metabolic Syndrome X/*complications/*physiopathology ; Middle Aged ; Obesity/etiology ; Schizophrenia/*complications/mortality/*physiopathology ; Triglycerides/blood

OBJECTIVETo verify Working Group for Obesity in China (WGOC) recommended body mass index (BMI) classification reference for overweight and obesity in Chinese children and adolescents using the data of 2002 China Nationwide Nutrition and Health Survey.

METHODSPediatric metabolic syndrome (MetS) and abnormality of each risk factor for MetS were defined using the criteria for US adolescents. Definition of hyper-TC, LDL, and dyslipidemia in adults was applied as well. The average level and abnormality rate of the metabolic indicators were described by BMI percentiles and compared with general linear model analysis. Receiver operating characteristic analysis was used to summarize the potential of BMI to discriminate between the presence and absence of the abnormality of these indicators.

RESULTSThere was neither significantly increasing nor significantly decreasing trend of biochemical parameter levels in low BMI percentile range (<65th). Slight increasing trend from the 75th and a significant increase were found when BMI > or =85th percentile. In general, the prevalence of the examined risk factors varied slightly when BMI percentile<75th, and substantial increases were consistently seen when BMI percentile > or =75th. As an indicator of hyper-TG, hypertension and MetS, the sensitivity and specificity were equal at the point of BMI<75th percentile, and the Youden's index of risk factors also reached peak point before 75th percentile except for MetS. When the BMI percentile was used as the screening indicator of MetS, Youden's index reached peak point at 85th percentile, just the point in the ROC graph that was nearest to the upper left corner.

CONCLUSIONThe BMI classification reference for overweight and obesity recommended by WGOC is rational to predict and prevent health risks in Chinese children and adolescents. Lower screening cut-off points, such as 83th percentile or 80th percentile, should not be excluded when they are considered as overweight criteria in future intervention or prevention studies.

Adolescent ; Blood Glucose ; Blood Pressure ; Body Mass Index ; Cardiovascular Diseases ; etiology ; prevention & control ; Child ; China ; Cholesterol ; blood ; Female ; Humans ; Male ; Obesity ; diagnosis ; physiopathology ; Overweight ; Reference Values ; Risk Factors ; Triglycerides ; blood

BACKGROUND/AIMS: Poor sleep quality (SQ) is associated with increased cardiovascular mortality and morbidity. Additionally, asymmetric dimethylarginine (ADMA) is an independent predictor of cardiovascular mortality and morbidity. However, no sufficient data regarding the relationship between ADMA levels and SQ have been reported. The goal of the current study was to evaluate the association between SQ and ADMA levels in normotensive patients with type 2 diabetes mellitus. METHODS: The study participants consisted of 78 normotensive type 2 diabetics. The SQ of all participants was assessed using the Pittsburgh Sleep Quality Index (PSQI). Patients with a global PSQI score > 5 were defined as "poor sleepers." Factors associated with poor SQ were analyzed using a multiple regression model. Serum ADMA levels were measured using high performance liquid chromatography. RESULTS: The median ADMA levels of the poor sleepers were increased compared with patients defined as good sleepers (5.5 [4.2 to 6.6] vs. 4.4 [2.9 to 5.4], p < 0.01, respectively). However, the L-arginine/ADMA ratio was decreased in poor sleepers (p < 0.01). Global PSQI scores were positively correlated with ADMA levels (p < 0.01) and negatively correlated with the L-arginine/ADMA ratio (p = 0.02). ADMA levels were correlated with sleep latency (p < 0.01) and sleep efficiency (p = 0.01). Logistic regression analysis showed that ADMA levels (odds ratio [OR], 1.68; 95% confidence interval [CI], 1.16 to 2.44; p = 0.01) and body mass index (OR, 1.15; 95% CI, 1.01 to 1.31; p = 0.04) were associated with poor SQ independently of glomerular filtration rate, sex, age, duration of diabetes, hemoglobin A1c, total cholesterol, and systolic blood pressure. CONCLUSIONS: Self-reported SQ was independently associated with ADMA levels in normotensive patients with diabetes mellitus.
Adult ; Arginine/*analogs & derivatives/blood ; Biomarkers/blood ; Cardiovascular Diseases/blood/*etiology/physiopathology ; Chi-Square Distribution ; Chromatography, High Pressure Liquid ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2/blood/*complications/diagnosis/physiopathology ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Odds Ratio ; Risk Factors ; *Sleep ; Sleep Wake Disorders/blood/*complications/diagnosis/physiopathology ; Surveys and Questionnaires

The aim of this study was to determine the normal value of brachial-ankle pulse wave velocity (baPWV) and carotid-femoral pulse wave velocity (cfPWV) according to age group, gender, and the presence of cardiovascular risk factors in healthy Koreans, and to investigate the association between PWV and risk factors such as prehypertension, dyslipidemia, smoking, and obesity. We measured an arterial stiffness in 110 normal subjects who were 20 to 69 yr-old with no evidence of cardiovascular disease, cerebrovascular accident or diabetes mellitus. The mean values of baPWV and cfPWV were 12.6 (+/-2.27) m/sec (13.1+/-1.85 in men, 12.1+/-2.51 in women; P=0.019) and 8.70 (+/-1.99) m/sec (9.34+/-2.13 in men, 8.15+/-1.69 in women; P=0.001), respectively. The distribution of baPWV (P<0.001) and cfPWV (P=0.006) by age group and gender showed an increase in the mean value with age. Men had higher baPWV and cfPWV than women (P<0.001). There was a difference in baPWV and cfPWV by age group on prehypertension, dyslipidemia, current smoking, or obesity (P<0.001). In multiple linear regression, age and prehypertension were highly associated with baPWV and cfPWV after adjustment for confounding factors (P<0.001). The present study showed that baPWV and cfPWV are associated with age, gender, and prehypertension in healthy Koreans.
Adult ; Age Factors ; Aged ; *Ankle Brachial Index ; Blood Pressure ; Brachial Artery/*physiology ; Cardiovascular Diseases/diagnosis/etiology/physiopathology ; Carotid Arteries/*physiology ; Female ; Femoral Artery/*physiology ; Humans ; Male ; Middle Aged ; Obesity/physiopathology ; Prehypertension/physiopathology ; Pulsatile Flow ; *Pulse Wave Analysis ; Republic of Korea ; Risk Factors ; Sex Factors ; Smoking ; Vascular Stiffness/physiology

The association between microalbuminuria (MAU) and the indices of macrovascular complication in patients with newly diagnosed type 2 diabetes (D) or essential hypertension (H) was evaluated. Total 446 patients were classified into four groups according to the urinary albumin-to-creatinine ratio: MAU-D (n = 104), normoalbuminuria (NAU)-D (n = 114), MAU-H (n = 116), and NAU-H (n = 112). The indices of macrovascular complication including arterial stiffness evaluated by pulse-wave-velocity (PWV), carotid intima-media thickness (IMT), and vascular inflammation marked by high-sensitivity C-reactive protein (hsCRP) were assessed. PWV, IMT, and hsCRP were higher in patients with MAU than in those with NAU in both diabetes and hypertension groups. In both MAU-D and MAU-H groups, PWV and hsCRP levels were positively correlated with MAU level (MAU-D: r = 0.47, 0.41, MAU-H: r = 0.36, 0.62, respectively, P < 0.05). Additionally, PWV and hsCRP were independent factors predicting MAU (diabetes group: OR 1.85, 1.54, hypertension group: OR 1.38, 1.51, respectively, P < 0.001), but not IMT. MAU is independently associated with arterial stiffness and vascular inflammation but not with IMT in patients with newly diagnosed type 2 diabetes or essential hypertension, which emphasizes the importance of proactive clinical investigations for atherosclerotic complications in patients with MAU, even in newly diagnosed diabetes or hypertension.
Albuminuria ; Area Under Curve ; C-Reactive Protein/analysis ; Cardiovascular Diseases/etiology ; Carotid Intima-Media Thickness ; Creatinine/urine ; Diabetes Mellitus, Type 2/complications/*diagnosis/physiopathology ; Female ; Humans ; Hypertension/complications/*diagnosis/physiopathology ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Odds Ratio ; Risk Factors ; Vascular Stiffness

BACKGROUND/AIMS: Osteoprotegerin (OPG) and fetuin-A are vascular calcification regulators that may be related to high cardiovascular (CV) mortality in hemodialysis (HD) patients. We evaluated the relationship between OPG, fetuin-A, and pulse wave velocity (PWV), a marker of vascular stiffness, and determined whether OPG and fetuin-A were independent predictors of CV events in HD patients. METHODS: We conducted a prospective observational study in 97 HD patients. OPG and fetuin-A were measured at baseline and arterial stiffness was evaluated by PWV. All patients were stratified into tertiles according to serum OPG levels. RESULTS: A significant trend was observed across increasing serum OPG concentration tertiles for age, HD duration, systolic blood pressure, cholesterol, triglycerides, and PWV. Multiple linear regression analysis revealed that diabetes (beta = 0.430, p = 0.000) and OPG levels (beta = 0.308, p = 0.003) were independently associated with PWV. The frequency of new CV events was significantly higher in the upper OPG tertiles compared with those in the lower OPG tertiles. In Cox proportional hazards analysis, upper tertiles of OPG levels were significantly associated with CV events (hazard ratio = 4.536, p = 0.011). CONCLUSIONS: Serum OPG, but not fetuin-A, levels were closely associated with increased vascular stiffness, and higher OPG levels may be independent predictors of new CV events in HD patients.
Adult ; Aged ; Biological Markers/blood ; Cardiovascular Diseases/blood/diagnosis/*etiology/mortality/physiopathology ; Female ; Humans ; Kaplan-Meier Estimate ; Linear Models ; Male ; Middle Aged ; Multivariate Analysis ; Osteoprotegerin/*blood ; Predictive Value of Tests ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; Pulse Wave Analysis ; *Renal Dialysis/adverse effects/mortality ; Renal Insufficiency, Chronic/complications/diagnosis/mortality/*therapy ; Risk Factors ; Up-Regulation ; *Vascular Stiffness ; alpha-2-HS-Glycoprotein/analysis