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Background and purpose: Atrial fibrillation (AF) has a progressive nature, leading to structural, functional, and electrical changes in the left atrium (LA). Enhanced response to treatment in patients with AF can be achieved through improved knowledge of atrial structure and a better understanding of its function. The aim of this study was to assess LA strain and its determinants in patients with paroxysmal (PAF), persistent (PsAF), and permanent AF (PmAF). Methods: Fifty-eight patients with registered non-valvular AF were divided into 3 groups depending on the type of AF. The participants underwent transthoracic echocardiography to assess the anatomy and function of heart chambers. Left atrial longitudinal strain (LALS) was measured in four-chamber projections using two-dimensional speckle tracking echocardiography. Results: Patients with PAF had higher LALS (15.7±12.0) when compared to those with PsAF (4.3±7.9) and PmAF (5.8±7.8, all P=0.003). Multiple linear regression showed that the independent predictors of LALS were diastolic blood pressure (β=0.95, R²=0.88) in the PAF group; left atrial area (β=-0.56) and creatinine (β=-0.63, R²=0.58) in the PsAF group; AF duration (β=0.89) in the PmAF group (R²=0.72). Conclusions: LA strain has different determinants depending on AF type. LA size, renal function, and AF duration determine LALS in longlasting AF. LA strain is a simple and accurate technique to estimate LA dysfunction in patients with long-lasting AF. [ABSTRACT FROM AUTHOR]

Background and Purpose: Atrial fibrillation (AF) has a progressive nature, leading to structural, functional, and electrical changes in the left atrium (LA). Enhanced response to treatment in patients with AF can be achieved through improved knowledge of atrial structure and a better understanding of its function. The aim of this study was to assess LA strain and its determinants in patients with paroxysmal (PAF), persistent (PsAF), and permanent AF (PmAF)., Methods: Fifty-eight patients with registered non-valvular AF were divided into 3 groups depending on the type of AF. The participants underwent transthoracic echocardiography to assess the anatomy and function of heart chambers. Left atrial longitudinal strain (LALS) was measured in four-chamber projections using two-dimensional speckle tracking echocardiography., Results: Patients with PAF had higher LALS (15.7±12.0) when compared to those with PsAF (4.3±7.9) and PmAF (5.8±7.8, all P=0.003). Multiple linear regression showed that the independent predictors of LALS were diastolic blood pressure (β=0.95, R2=0.88) in the PAF group; left atrial area (β=-0.56) and creatinine (β=-0.63, R2=0.58) in the PsAF group; AF duration (β=0.89) in the PmAF group (R2=0.72)., Conclusion: LA strain has different determinants depending on AF type. LA size, renal function, and AF duration determine LALS in long-lasting AF. LA strain is a simple and accurate technique to estimate LA dysfunction in patients with long-lasting AF.

Recently a lot of authors have been trying to determine the usefulness of 3-dimensional echocardiography (TTE 3D) in evaluation of ejection fraction and left ventricular volume, but few attempt to compare it to the current gold standard of cardiac magnetic resonance (CMR). 3D imaging technics allows to avoid errors caused by geometry of the heart chambers and foreshortened views. American Echocardiographic Guidelines recommend the use of 3-dimensional echocardiography in daily clinical practice., Aim: The aim of the study was to establish clinical usefulness of automated 3D TTE software to calculate left ventricle ejection fraction (LVEF), left ventricle end diastolic volume (LVEDV) and left ventricle end systolic volume (LVESV), and to compare those measurements calculated in CMR and in 3D TTE., Materials and Methods: The aim of the study was to establish clinical usefulness of automated 3D TTE software to calculate left ventricle ejection fraction (LVEF), left ventricle end diastolic volume (LVEDV) and left ventricle end systolic volume (LVESV), and to compare those measurements calculated in CMR and in 3D TTE., Results: The mean LVEF in 3D TTE was 65% +/- 12%; LVEDV 123 ml +/- 67 ml, LVESV 42 ml +/- 29 ml. The CMR LVEF in the study group was 61% +/- 9%, LVEDV 134 ml +/- 51ml, LVESV 54 ml +/- 33 ml. Wilcoxon rank test showed no difference between medians of the measurements, the correlation coefficient between LVEF in 3D TTE and CMR was R = 0.84 (p = 0.036). LVEF calculated in 3D TTE shows good correlation with LVEF computed in CMR. However good visualization of the endocardium, especially in the apex, is essential. The volume of left ventricle is underestimated in 3D TTE. In previous studies underestimation of LVEDV and LVESV was explained by exclusion of endocardial trabeculae from the left ventricle cavity in automated measurement., Conclusions: The automated 3D TTE software allows simple, fast and precise evaluation of parameters of the left ventricle - especially LVEF. Automated 3D TTE software gives hope for the inclusion of 3D TTE in routine clinical practice due to its repeatability and easy use of the Heart Model software.

Introduction: Cardiovascular diseases (CVD) are the main cause of death in Poland. The prevalence of CVD risk factors is regionally differentiated. Awareness of their presence in the population is crucial for identification of high-risk patients and implementation of appropriate preventive intervention. Therefore, the aim of our study was to assess the prevalence and knowledge of modifiable CVD risk factors among patients of primary health care in Malopolska., Material and Methods: The study was conducted among participants of Małopolska CArdiovascular Preventive Intervention Study (M-CAPRI). Standardized questionnaire and clinical evaluation was conducted in a total of 978 consecutive patients (aged 45.7±13.0) without known CVD in randomly selected primary care units in Małopolska., Results: The most common major modifiable CVD risk factor was hypercholesterolemia (648; 66.3%) while predisposing was incorrect nutrition (890; 91.0%). The prevalence of hypertension, hypercholesterolemia, diabetes and obesity was increased with age but cigarette smoking, low physical activity and poor nutrition remain unchanged. CVD risk assessed using Pol-SCORE charts was high or very high in 104 (16.9%) and moderate in 369 (59.5%) patients. Each of the modifiable CVD risk factors was often identified by people with higher education and educated beforehand by a doctor or nurse. The presence of a particular CVD risk factor was not associated with better knowledge of it except for diabetes (OR 3.44, 95% CI 0.996-11.863)., Conclusions: Educated patients have better knowledge on CVD risk factors. Identification of CVD risk factors and education about them should be implemented during visits in primary health care.