Assessment of biventricular function with speckle tracking echocardiography in newly-diagnosed adult-onset asthma.

OBJECTIVE: There is limited number of studies on the effect of asthma disease on cardiac functions. The aim of this study was to investigate if there was any association between adult onset asthma and cardiac dysfunction. METHODS: Total of 83 nonsmoking adult onset asthma patients aged between 18 and 65, and 83 control subjects with comparable age and sex distribution were included in the study.None of the subjects had any chronic cardiovascular or systemic diseases.Two-dimensional, M-mode and tissue Doppler examinations were performed. STE analysis was obtained using the QLAB software. Complete blood count and high-sensitive C-reactive protein (hsCRP) levels were measured. RESULTS: There was no difference between two groups in terms of standard echocardiography and Doppler parameters. While tricuspid annular plane systolic excursion (TAPSE) was observed to be lower in asthmatics (24.9 ± 2.0 vs. 25.5 ± 2.1, p = 0.043), right ventricular myocardial performance index (RV MPI) was higher (0.36 ± 0.07 vs 0.32 ± 0.06, p˂0.001). There was no significant difference between the groups in terms of left ventricular STE parameters. Measurements of right ventricular global longitudinal strain (RVGLS) and right ventricular free wall strain (RVfree) were observed to be lower in the asthma group (-20.3 ± 2.9 vs -21.5 ± 2.9, p = 0.007; -24.0 ± 3.0 vs 25.1 ± 2.9, p = 0.009, respectively). CONCLUSION: -We demonstrated that while adult onset mild-stage asthma patients have normal parameters in standard echocardiography, they have reduced right ventricular functions by STE.

Evaluation of pulmonary artery stiffness in newly diagnosed adult patients with asthma.

BACKGROUND: There are limited studies on the effects of asthma on cardiac function. Right ventricular dysfunction and pulmonary hypertension are cardiovascular complications that may be seen in advanced stages of the disease. Pulmonary artery stiffness (PAS), is a promising, relatively new echocardiographic index that has been reported to increase in right ventricular failure, providing information about pulmonary vascular bed. AIM: In this study, we aimed to evaluate PAS, a marker of pulmonary artery elasticity, in adult-onset asthma. METHODS: Ninety-nine nonsmokers who had a new asthma diagnosis between the ages of 18 and 65 years and 97 healthy controls with similar age and sex distribution were included in the study. PAS was calculated by dividing the maximal frequency shift of pulmonary flow (MFS) in pulmonary acceleration time (PAT). RESULTS: Clinical and demographic characteristics of both groups were similar (P Ëƒ 0.05). PAS values were higher in the asthma group than in the control group (25.2 ± 4.5 vs 22.4 ± 4.1, P ˂0.001). TAPSE was lower in the case group (24.9 ± 2.0 vs 25.5 ± 2.1, P = 0.043), while RV MPI was higher (0.36 ± 0.07 vs 0.32 ± 0.06, P ˂0.001). In the multivariate linear regression analysis, RV MPI, RV Em, and TAPSE variables were independent predictors of PAS. CONCLUSION: In our study, PAS values were higher in patients with newly diagnosed adult asthma and we found a significant weak correlation between PAS values and subclinical right ventricular dysfunction.

To Investigate the Effects of Air Pollution (PM10 and SO2) on the Respiratory Diseases Asthma and Chronic Obstructive Pulmonary Disease.

OBJECTIVES: Effects of air pollution parameters of sulfur dioxide (SO2) and particulate matter (PM10) values on the respiratory system were investigated. MATERIAL AND METHODS: Data of SO2 and PM10 were obtained daily for air pollution and classified into two groups: Group I (2006-2007), coal burning years and Group II (2008-2009), natural gas+ coal burning. Groups I and II were divided into two subgroups according to the months of combustion as combustible (November-April) and noncombustible (May-October). The number of patients with asthma and chronic obstructive pulmonary disorder (COPD) was recorded between 2006 and 2009. RESULTS: There was no statistically significant difference between Groups I and II for PM10 and SO2 (p>0.05). Within the years, the values of SO2 and PM10 were statistically different between the groups defined by month (p<0.01). The number of patients in the combustible and noncombustible subgroups were found to be different for every 4 years, and the numbers of patients with COPD or asthma were not changed through the years. There was a strong correlation between PM10 and COPD (r=0.59, p<0.01) and a weak correlation between PM10 and asthma (r=0.25, p>0.05). A correlation was found between SO2 and COPD (p<0.01) but not between SO2 and asthma (p>0.05). The number of visits for COPD and asthma was statistically different between combustible and noncombustible subgroups (X2:58.61, p=0.000; X2:34.55, p=0.000, respectively). The r2 values for SO2 and PM10 for COPD patients were 17% and 24%, respectively, in contrast to 8% and 5%, respectivley for asthma patients. CONCLUSION: Air pollution is known to increase respiratory disease occurrences. With decrease in the usage of solid fuel, air pollution could be reduced and may be effective in preventing respiratory diseases.

Investigation of Sleep Quality and Sleep Disorders in Students of Medicine.

OBJECTIVES: This study was performed on Suleyman Demirel University medical students to determine the quality of sleep and to investigate factors that affect of sleep quality. MATERIAL AND METHODS: Suleyman Demirel University Medical students at 1, 2, 3, 4, 5 and 6 classes included to this cross-sectional analytical study (n= 720). Refused to fill to the survey (188), and students were not come to faculty (195), applied survey to 337 students (46.8%). Epworth sleepiness scale (ESS), Pittsburgh (PSQI) and Berlin sleep questionnaires, and 13 pieces closed and open-ended socio-demographic questions were conduct a questionnare under observation. The collected data were analyzed by using descriptive statistics, chi-square, two independent groups t test, Pearson and Spearman's correlation, Mann-Whitney U, Kruskal-Wallis and ANOVA tests. RESULTS: 337 students participated in the study, 42.1% were male, 57.9% were female, mean age was 21.3 ± 2.1 years. Depending on Body mass index (BMI) 31 were poor, 212 normal, 53 overweight, and 4 obese students. In 118 students (35.3%), and these students have a chronic disease associated with 15.6% used the drug because of illness and 38 percent of students (11.6%) were smokers. 18.1 ± 16.1 min for pupils in times of falling asleep, sleep duration per night. 6.6 ± 1.3h, the mean departure time was 7.7 ± 1.8. Scale with a total score of Pittsburgh class (p= 0.000), age (p= 0.003), BMI (p= 0.015) had a significant correlation between. Pittsburgh PUKI scores and without a significant difference in gender (p= 0.054), the use of stimulant substances (p= 0.032), weight (p= 0.021) and snoring (p= 0.002) with no significant difference were found. ESS total score and gender (p= 0.025), drug use (p= 0.035) and sports activities (p= 0.038). Ten students had snoring (3.0%), 5 students (1.5%) had witnessed apnea. Snoring 17.2% to in ESS > 10 points on it. Pittsburgh, the mean scores of those who witnessed apnea (14.0 ± 5.3), witnessed apnea, according to non-students (10.2 ± 6.4) were higher (p= 0.191).The effects PSQI and ESS results on the term were statistically significant by the multivariate regression analysis [F(10.602)= 4.56; p< 0.05; Wilkis Lamda 0.864, partial n2= 0.07]. To estimate of the value of PSQI by the stepwise regression analysis was performed; age and fall asleep properties has been included of the model (R2= 89%, p< 0.05). To estimate of the value of PSQI by the stepwise regression analysis was performed; fall asleep property has been included of the model in the the male gender (R2= 80%, p< 0.05). To estimate of the value of ESS by the stepwise regression analysis was performed; term property has been included of the model (R2= 65%, p< 0.05). CONCLUSION: Medical school students participating in our study, although female-male ratio close to each other, we found that higher ESS and Pittsburgh scores in female more than male. In this case may be related to physiological, genetic, environmental, cultural and psychological differences.

The effects of continuous positive airway pressure therapy on mean platelet volume in patients with obstructive sleep apnea.

Previous studies have reported increased platelet activation and aggregation in patients with obstructive sleep apnea (OSA). Continuous positive airway pressure (CPAP) treatment has been shown to decrease platelet activation. We aimed to study the effects of nasal CPAP therapy has on MPV values in patients with severe OSA. Thirty-one patients (21 men; mean age 53.8 ± 9.2 years) with severe OSA (AHI > 30 events/hour) constituted the study group. An age, gender and body mass index (BMI) matched control group was composed 25 subjects (14 men; mean age 49.6 ± 8.5 years) without OSA (AHI < 5 events/hour). We measured MPV values in patients with severe OSA and control subjects and we measured MPV values after 6 months of CPAP therapy in severe OS patients. The median (IQR) MPV values were significantly higher in patients with severe OSA than in control group (8.5 [8.3-9.1] vs. 8.3 [7.5-8.8] fL; p = 0.03). The platelet counts were significantly lower in patients with severe OSA than in control group (217.8 ± 45.9 vs. 265.4 ± 64.0 × 109/L; p = 0.002). The six months of CPAP therapy caused significant reductions in median (IQR) MPV values in patients with severe OSA (8.5 [8.3-9.1] to 7.9 [7.4-8.2] fL; p < 0.001). Six months of CPAP therapy caused significant increase in platelet counts when compared with baseline values (217.8 ± 45.9 to 233.7 ± 60.6 × 109/L; p < 0.001). We have found that the MPV values of patients with severe OSA were significantly higher than those of the control subjects and 6 months CPAP therapy caused significant reductions in the MPV values in patients with severe OSA.

Mean platelet volume is increased in patients with severe obstructive sleep apnea.

Increased platelet activation and aggregation which are closely related to cardiovascular complications have been reported in patients with obstructive sleep apnea (OSA). The aim of this study was to assess the mean platelet volume (MPV), an indicator of platelet activation in patients with OSA. The 95 subjects referred for evaluation of OSA underwent overnight polysomnography. Blood samples were taken for MPV determination. According to the apnea-hypopnea index (AHI), subjects were divided into three groups; group 1: control subjects without OSA (AHI < 5, n = 24), group 2: patients with mild to moderate OSA (AHI: 5-30, n = 42), and group 3: severe OSA (AHI > 30, n = 29). Body mass index (BMI) of patients with severe OSA was significantly higher than control subjects (31.5 ± 4.0 vs. 28.2 ± 5.0; p = 0.02). The MPV was significantly higher in patients with severe OSA than in the control group (8.9 ± 1.0 vs. 8.2 ± 0.7 fl; p = 0.01). Correlation analysis within 71 patients with OSA indicated that MPV was correlated with AHI (p < 0.001, r = 0.44) and DI (p = 0.001, r = 0.37). In multivariate regression analysis, when MPV was taken as independent with other study variables which are potential confounders such as age, gender and BMI, MPV was independently correlated with both AHI (ß = 0.44, p < 0.001) and DI (ß = 0.38, p < 0.001). We have shown that MPV was significantly higher in patients with severe OSA when compared with control subjects and MPV was correlated with AHI and DI.