ECG Indices Poorly Predict Left Ventricular Hypertrophy and Are Applicable Only in Individuals With Low Cardiovascular Risk

How Unawareness of Weight Excess Can Increase Cardiovascular Risk?

Background: Obesity is a chronic disease with high prevalence in all age groups. Many overweight and obese people seem to be unaware of excess body weight. Aim: Analysis of people affected by the misperception of excess body weight and their eating behaviors simultaneously with selected health parameters. Methods: The study was conducted in 2017–2019 among 658 participants aged 20–79 from the population study—Bialystok PLUS (Poland). Results were based on clinical examinations and questionnaires. Results: Unawareness of overweight and obesity is common among adults (21.7%). Participants unaware of their overweight and obesity presented much higher risk factors. A high cardiovascular risk profile was observed more often among people not aware of overweight and obesity than among normal weight people (23.0% vs. 10.0%) as well as more common asymptomatic carotid artery atherosclerosis (49.7% vs. 31.3%). The subjective perception of overweight and obesity based on BMI (body mass index) was equal to 26.4 kg/m2 in women and 27.9 kg/m2 in men. The assessment of their diet was less favorable than that of people with normal weight. Conclusions: Unawareness of one’s excessive weight and its health consequences may lead to hesitancy to apply a healthy lifestyle and hence increase the cardiovascular risk in a substantial part of society. Therefore, it should be considered a part of the cardiovascular disease risk spectrum. Measurement of BMI and discussion about its health implications should be a routine procedure during healthcare contacts.

Combined Effects of Age and Comorbidities on Electrocardiographic Parameters in a Large Non-Selected Population

Background: Previous studies have evaluated average electrocardiographic (ECG) values in healthy subjects or specific subpopulations. However, none have evaluated ECG average values in not selected populations, so we examined ECG changes with respect to age and sex in a large primary population. Methods: From digitized ECG stored from 2008 to 2021 in the Modena province, 130,471 patients were enrolled. Heart rate, P, QRS and T wave axis, P, QRS and T wave duration, PR interval, QTc, and frontal QRS-T angle were evaluated. Results: All ECG parameters showed a dependence on age, but only some of them with a straight-line correlation: QRS axis (p < 0.001, R2 = 0.991, r = 0.996), PR interval (p < 0.001, R2 = 0.978, r = 0.989), QTc (p < 0.001, R2 = 0.935, r = 0.967), and, in over 51.5 years old, QRS-T angle (p < 0.001, R2 = 0.979, r = 0.956). Differences between females and males and in different clinical settings were observed. Conclusions: ECG changes with ageing are explainable by intrinsic modifications of the heart and thorax and with the appearance of cardiovascular diseases and comorbidities. Age-related reference values were computed and applicable in clinical practice. Significant deviations from mean values and from Z-scores should be investigated.

Effectiveness of Lifestyle Modification vs. Therapeutic, Preventative Strategies for Reducing Cardiovascular Risk in Primary Prevention-A Cohort Study

BACKGROUND

Cardiovascular diseases (CVD) are still the leading cause of death in developed countries. The aim of this study was to calculate the potential for CV risk reduction when using three different prevention strategies to evaluate the effect of primary prevention.

METHODS

A total of 931 individuals aged 20-79 years old from the Bialystok PLUS Study were analyzed. The study population was divided into CV risk classes. The Systematic Coronary Risk Estimation (SCORE), Framingham Risk Score (FRS), and LIFE-CVD were used to assess CV risk. The optimal prevention strategy assumed the attainment of therapeutic goals according to the European guidelines. The moderate strategy assumed therapeutic goals in participants with increased risk factors: a reduction in systolic blood pressure by 10 mmHg when it was above 140 mmHg, a reduction in total cholesterol by 25% when it was above 190 mg/dL, and a reduction in body mass index below 30. The minimal prevention strategy assumed that CV risk would be lowered by lifestyle modifications. The greatest CV risk reduction was achieved in the optimal model and then in the minimal model, and the lowest risk reduction was achieved in the moderate model, e.g., using the optimal model of prevention (Model 1). In the total population, we achieved a reduction of -1.74% in the 10-year risk of CVD death (SCORE) in relation to the baseline model, a -0.85% reduction when using the moderate prevention model (Model 2), and a -1.11% reduction when using the minimal prevention model (Model 3). However, in the low CV risk class, the best model was the minimal one (risk reduction of -0.72%), which showed even better results than the optimal one (reduction of -0.69%) using the FRS.

CONCLUSION

A strategy based on lifestyle modifications in a population without established CVD could be more effective than the moderate strategy used in the present study. Moreover, applying a minimal strategy to the low CV risk class population may even be beneficial for an optimal model.

Impact of chronic kidney disease on long-term outcome of patients with valvular heart defects

INTRODUCTION

Valvular heart diseases (VHD) are becoming a significant problem in the Polish population. Coexistence of chronic kidney disease (CKD) in patients with VHD increases the risk of death and affects further therapeutic strategy.

AIM

Analysis impact of CKD on long-term prognosis in patients with VHD.

MATERIAL AND METHODS

The inclusion criteria were met by 1025 patients with moderate and severe VHD. Mean observation time was 2528 ± 1454 days.

RESULTS

The average age of the studied population was 66.75 (SD = 10.34), male gender was dominant 56% (N = 579). Severe aortic valve stenosis (AVS) occurred in 28.2%, severe mitral valve insufficiency (MVI) in 20%. CKD occurred in 37.1% (N = 380) patients mostly with mitral stenosis (50%, N = 16) and those with severe MVI (44.8%, N = 94). During the observational period, 52.7% (N = 540) deaths were noted. Increased risk of mortality was associated mostly with age (OR: 1.02, 95% CI: 1.00-1.03, p < 0.001), creatinine (OR:1.27, 95% CI: 1.12-1.43, p < 0.001), CKD (OR: 1.30, 95% CI: 1.17-1.44, p < 0.001), reduced ejection fraction (EF) (OR: 0.98, 95% CI: 0.97-0.99, p = 0.01) and coexisting of AVS (OR: 1.19, 95% CI: 1.04-1.35, p = 0.01).

CONCLUSIONS

Mitral valve defects more often than aortic valve defects coexist with chronic kidney disease. Regardless of the stage, chronic kidney disease is an additional factor affecting the prognosis in patients with heart defects. Factors increasing the risk of death were age, creatinine concentration and reduced EF. The monitoring of renal function in patients with VHD should be crucial as well as the implementation of treatment at an early stage.