Statin adherence in patients with high cardiovascular risk: a cross-sectional study.

OBJECTIVES: Statin adherence is an essential problem although lifetime medication is recommended especially in patients with high cardiovascular risk. The importance of perceived risk as a predictor of adherence among cardiology patients has not been fully explored. This study aimed to test the importance of perceived risk as a predictor of statin adherence amongst hypercholesterolemic patients to identify predictors associated with poor adherence. METHODS: This cross-sectional study was conducted at cardiology outpatient clinics of the University hospital in Ankara, Turkey. A total of 327 consecutive patients with high CV risk were recruited. Self-reported Morisky Green Levine Medication Adherence Scale was used to assess statin adherence. RESULTS: Of the patients studied, 34.5% had concerns about side effects. Also, the mean age was 63.85 ± 11.29 years, 66.1% were men, 32.4% applied non-drug alternative therapies, 53.2% had a Mediterranean-style diet and 20.8% checked their lipid values irregularly. Participants reported 50.2% high, 30% moderate, and 19.9% low statin medication adherence. Low-density lipoprotein cholesterol (LDL-C), Total Cholesterol (TC), Triglyceride (TG) and high-density lipoprotein (HDL) control rates were 44.6%, 74.3%, 61.5% and 41.6%. On multiple logistic regression, concern about side effects was associated with a statistically significant quadruple elevation of odds of non-adherence. Also, being male, former smokers, not having complementary interventions, having regular visits, being educated for more than 5 years, having low depressive symptom scores, living in a rural, being never or former smokers, employee were significant predictors of high medication adherence scores. CONCLUSION: Approximately half of the patients reported high medication adherence. Proper strategies to improve adherence would include patient education efforts focused on patients with concerns about side effects and those who are female, less educated, current smokers, interested in complementary interventions, have irregular follow-up visits, and have depressive symptoms. Brief medication adherence scales may facilitate the assessment of patients' adherence.

Does the trait anxiety affect the dental fear?

The aims of the present study were to evaluate possible associations between trait anxiety, dental fear and the predictors of these interactions including demographic characteristics and dental history of patients applied to the dental care center in Ankara, Turkey. A sample of 607 participants (mean age: 21.02 ± 2.32) responded to a Turkish version of the Modified Dental Fear Survey (MDFS), the State-Trait Anxiety Inventory (STAI-T) and a questionnaire regarding previous negative dental experience. Multiple logistic regression analysis was used to identify the association between dental fear and the independent variables including trait anxiety, age groups, education level, dental visit frequency, experience and the source of dental knowledge. There was a trend for increasing in trait anxiety scores with greater levels of dental fear in a medium level of the dental fear group (OR = 1.055, 95%CI [1.025-1.086]; p < 0.001) and in a high level of the dental fear group (OR = 1.090 [1.057-1.124]; p < 0.001). Comparing to the low level of dental fear group; participants of medium dental fear level intended more likely to go to the dentist when they have a complaint instead of regularly going (odds ratio; OR = 3.177, 95%CI [1.304-7.741]; p = 0.011). Participants of high dental fear level tended to be less likely to have experienced no problem (OR = 0.476, 95%CI [0.284-0.795]; p = 0.005) than the low level of the dental fear group. We strongly indicate that higher dental fear scores have a predisposition of having high trait anxiety scores. Unpleasant dental experiences increased the risk for high dental fear levels. Patients with dental fear tended only to visit a dentist when necessary, avoiding regular visits.

Does the trait anxiety affect the dental fear?

Abstract The aims of the present study were to evaluate possible associations between trait anxiety, dental fear and the predictors of these interactions including demographic characteristics and dental history of patients applied to the dental care center in Ankara, Turkey. A sample of 607 participants (mean age: 21.02 ± 2.32) responded to a Turkish version of the Modified Dental Fear Survey (MDFS), the State–Trait Anxiety Inventory (STAI-T) and a questionnaire regarding previous negative dental experience. Multiple logistic regression analysis was used to identify the association between dental fear and the independent variables including trait anxiety, age groups, education level, dental visit frequency, experience and the source of dental knowledge. There was a trend for increasing in trait anxiety scores with greater levels of dental fear in a medium level of the dental fear group (OR = 1.055, 95%CI [1.025–1.086]; p < 0.001) and in a high level of the dental fear group (OR = 1.090 [1.057–1.124]; p < 0.001). Comparing to the low level of dental fear group; participants of medium dental fear level intended more likely to go to the dentist when they have a complaint instead of regularly going (odds ratio; OR = 3.177, 95%CI [1.304–7.741]; p = 0.011). Participants of high dental fear level tended to be less likely to have experienced no problem (OR = 0.476, 95%CI [0.284–0.795]; p = 0.005) than the low level of the dental fear group. We strongly indicate that higher dental fear scores have a predisposition of having high trait anxiety scores. Unpleasant dental experiences increased the risk for high dental fear levels. Patients with dental fear tended only to visit a dentist when necessary, avoiding regular visits.

Comparison of estimated GFR equations based on serum cystatin C alone and in combination with serum creatinine in patients with coronary artery disease.

OBJECTIVE: Several new equations (GFRCKD-EPI-cr, GFRCKD-EPI-CysC, GFRCKD-EPI Cr+CysC) are used for the calculation of estimated GFR (eGFR) to evaluate renal function. These equations explicitly demonstrate the association of coronary artery disease (CAD) and severe renal impairment cases. However, these equations are considered insufficient to explain the relation with normal or mildly impaired eGFR and CAD. Our hypothesis was to indicate the inversely proportional relationship of eGFR values, calculated by the different equations, with the presence of CAD in patients with normal or mildly impaired renal function. METHODS: Eighty-eight patients who underwent elective coronary angiographic intervention were enrolled into the study. The study population was divided into two groups based on angiographic documents: patients with normal coronary arteries (CAD-) and patients with CAD (CAD +). These patients were stable and decided to implement angiography for the purpose of suspicion about CAD and control. Since it is thought that eGFR equations based on creatinine are inadequate to determine chronic kidney disease (CKD) and overestimate CKD diagnosis, cystatin C-based equations are considered an alternative. Due to the potential effects of inflammatory events of the markers used in equations, patients with diabetes mellitus, severe CKD, and inflammatory bowel disease were excluded from the study. RESULTS: The average age of all participants was 51.93±9.31 (32-65 years); 80.7% (n=71) was male. A statistical difference was found between the CAD (-) group and the CAD (+) group in terms of the variables of age (45.46±8.48 vs. 54.95±8.11, p<0.001), gender (67.9% vs. 86.7%, male, p=0.037), cystatin C values (1.37±0.34 vs. 0.85±0.39, p<0.001), and GFR equations defined by the Chronic Kidney Disease Epidemiology: GFRCKD-EPI-cr (85.86±14.20 vs. 79.45±10.25, p=0.018), GFRCKD-EPI-CysC (58.61±21.87 vs. 100.82±32.00, p<0.001), and GFRCKD-EPI Cr+CysC (68.29±13.49 vs. 90.75±18.34, p<0.001). After adjustment of the variables in multiple regression analyses, only age (OR, 1.199; 95% CI, 1.077 to 1.335, p=0.001), gender (OR, 8.252; 95% CI, 0.223 to 55.659, p=0.030), and the GFRCKD-EPI-CysC equation (OR, 1.059; 95% CI, 1.028 to 1.090, p<0.001) were detected as predictors for presence of CAD. CONCLUSION: GFR equations based on cystatin C or combined with creatinine may have superiority to GFR equations based on creatinine alone in CAD patients. However, the impact of different variables on the GFRCKD-EPI-CysC equation should not be ignored in specific groups, such as CAD.