Factors Affecting Smoking Cessation After Acute Myocardial Infarction.

OBJECTIVE: Persistent smoking after acute myocardial infarction is associated with an increased risk of recurrent cardiovascular events. Our aim was to determine the changes in smoking habits in patients after acute myocardial infarction and evaluate the factors affecting smoking cessation. MATERIAL AND METHODS: A total of 322 patients who had an acute myocardial infarction while smoking were included in the study. Participants were asked to fill out a 30-question survey. According to smoking status, 2 groups were identified, those who quit smoking (n = 155) and those who continued smoking (n = 167). RESULTS: The rate of smoking cessation among study participants was 48.2% (n = 155). Most of smoker participants had the intention to quit smoking (n = 124, 74.2%). The most common barriers for smoking cessation were nicotine withdrawal symptoms and the cessation rate was over 3 times higher in those with low nicotine dependence (P < .01). Weight gain was another common problem seen in 163 (50.6%) participants; among which the cessation rate was relatively low (43.6%). A total of 231 (71.7%) participants got an advice from their doctor to quit smoking and the probability of quitting was around 5 times higher in this group (P < .01). A total of 174 (54%) participants stated that they were considering quitting whenever they see the pictorial health warnings on cigarette packs and the probability of quitting was doubled in this group (P < .01). CONCLUSION: High number of patients continue on smoking after acute myocardial infarction. The most common barriers for smoking cessation are nicotine withdrawal symptoms. Doctors should play an active role in helping the patient quit smoking. Strict regulations of tobacco control can be very helpful in this regard.

The evaluation of the metabolic and autonomic predictors of cardiovascular diseases in relation to prostatic hyperplasia symptoms.

OBJECTIVES: High prevalence of cardiovascular diseases is present in benign prostatic hyperplasia patients. Risk prediction models were developed for early identification of these cardiovascular risks. We aimed to evaluate cardiovascular metabolic and autonomic predictors in relation to lower urinary tract symptoms' severity evaluated by the IPSS score. METHODS: This study included 318 healthy individuals recently diagnosed with BPH. Laboratory tests including metabolic, hormonal and inflammatory markers were recorded. The cardiovascular risk indices like the atherogenic index of plasma and the triglyceride glucose index were calculated. The heart rate recovery after graded exercise was calculated. RESULTS: There was a significant positive correlation between the IPSS score and both the atherogenic and the triglyceride glucose indices (r = 0.388, p < 0.01 and r = 0.109, p = 0.032, respectively). IPSS score was also significantly negatively correlated with heart rate recovery specially at the 3rd minute after exercise (r = -0.547, p < 0.01). On the other hand, the IPSS score had a significant positive correlation with the inflammatory markers and a significant negative correlation with serum testosterone levels. CONCLUSIONS: Our study results suggest the presence of a combination of hormonal and inflammatory changes in BPH patients affecting the severity of LUTS which is correlated with metabolic and autonomic parameters that can predict an increased risk of CVD (Tab. 3, Ref. 47).

The relationship of benign prostatic hyperplasia's symptoms severity with the risk of developing atrial fibrillation.

Background: Attention is drawn to the increased incidence of atrial fibrillation (AF) in benign prostatic hyperplasia (BPH) patients recently. Early predicting of AF in these patients can help in decreasing its clinical consequences. The aim of our study is to determine the association between BPH symptoms and AF predictors atrial electromechanical delay (AEMD) and the P-wave dispersion (PWD). Methods: 218 healthy individuals recently diagnosed with BPH were assigned into three groups according to symptoms severity using the International prostate symptom score (IPSS) questionnaire. The first group with mild symptoms (IPSS score between 0 and 7, n = 78), the second group with moderate symptoms (IPSS score between 8 and 19, n = 86), and the third group with severe symptoms (IPSS score between 20 and 35, n = 54). PWD and AEMD calculations were performed for all participants. Results: There were statistically significant differences between the three groups in terms of AEMD and PWD (p < .01 and p < .01, respectively). In all three study groups, a significant positive correlation was observed between IPSS questionnaire scores and both AEMD and PWD (for AEMD r = .29, p = .013 and for PWD r = .27, p = .017). On the other hand, there were significant differences between the three groups in terms of the inflammatory markers C-reactive protein (CRP) and fibrinogen (p < .01 and p < .01, respectively) and in terms of serum testosterone levels (p < .01). Conclusions: We concluded that periodic evaluation of patients with BPH in terms of symptoms severity can be helpful not only from urological aspect, but also in the early prediction of possible serious cardiovascular morbidity and mortality.

Variation of Tpeak-end, corrected Tpeak-end, QT, and corrected QT intervals, Tpeak-end/QT, Tpeak-end/corrected QT ratios and heart rate variability according to decades in the healthy male subjects aged between 30 and 79 years.

BACKGROUND: Heart rate variability (HRV) is a predictor of cardiac autonomic functions. Ventricular repolarization markers can indicate ventricular arrhythmias. We aimed to evaluate variations of HRV and these repolarization markers in five healthy male groups between age 30 and 79 years according to decades. MATERIALS AND METHODS: The study group consisted of 500 healthy male subjects between October 2018 and May 2019. The male subjects were divided into five categories according to their ages. Then, electrocardiograms (ECG), transthoracic echocardiograms (TTE), and treadmill exercise test (TET) were performed. T-wave peak-end (Tp-e) interval was defined as the time between the peak point and end of T-wave. Tp-e, corrected Tp-e (cTp-e), QT, and corrected QT (QTc) were measured from the resting ECGs and HRV temporal parameters (SDNN, SDNN Index, SDANN Index, RMSSD, sNN50, and pNN50), and HRV frequency parameters (VLF, LF, HF, and LF/HF) were obtained from 24-hour Holter monitorization recordings. One-way ANOVA test was used for the differences between the groups. Pearson correlation test was used to determine the correlations between the values of all groups. RESULTS: Considering the repolarization parameters, there are significant differences in five groups in terms of Tp-e interval, but not Tp-e/QT and Tp-e/QTc ratios. Considering the HRV parameters, there were statistically significant differences between the five male healthy groups in terms of HRV temporal parameters and there are no significant differences in terms of HRV frequency parameters. CONCLUSION: As the age increases, basal Tp-e interval increases and HRV temporal parameters decrease significantly in the male subjects aged between 30 and 79 years, but HRV frequency parameters do not change.

Variation of the T-wave peak-end interval and heart rate variability values in healthy males and females at various hours of the same day, and relationship of them.

BACKGROUND: The prolongation of repolarization time between the myocardial epicardium and endocardial cells is closely related to malignant ventricular arrhythmias. The purpose of our study was to compare repolarization markers, namely, T-wave peak-end interval (Tp-e), QT, corrected QT (QTc), Tp-e/QT, Tp-e/corrected QT (QTc), and Heart Rate Variability (HRV) values in healthy men and women and to investigate their daily variations. METHODS: A total of 74 male and 78 female participants, being a government employee, and having no health problems, were included in the two study groups (males and females). A 24-hour, 12-lead Holter monitoring was performed on the volunteers. Then, the Tp-e interval and QT interval were measured on recordings. cTp-e and QTc were calculated by the use of Bazzet's formula. RESULTS: There was no statistically significant difference between the groups in the cTp-e interval at 07.00 pm; however, it was significantly lower in the female group as compared with the male group at 07.00 am and 01.00 pm. It was significantly higher in the female group at 01.00 am compared with the male group. There were statistically significant moderate negative correlations between Tp-e intervals and a standard deviation of between two normal beats interval (SDNN) values at various hours of the same day. CONCLUSION: There were statistically significant differences in terms of Tp-e and cTp-e intervals at various hours of the same day in both groups. In addition, there were statistically significant moderate negative correlations between Tp-e intervals and SDNN at various hours of the same day.

The relationship between systolic pulmonary arterial pressure and Tp-e interval, Tp-e/QT, and Tp-e/QTc ratios in patients with newly diagnosed chronic obstructive pulmonary disease.

INTRODUCTION: The risk of sudden cardiac death (SCD) and arrhythmias has been shown to be common in chronic obstructive pulmonary disease (COPD) subjects. We aimed to evaluate the markers of arrhythmia such as QT, QTc (corrected QT), Tp-e, and cTp-e (corrected Tp-e) intervals, Tp-e/QT ratio, and Tp-e/QTc ratio in newly diagnosed COPD subjects in both right and left precordial leads. MATERIALS AND METHODS: The study group consisted of 74 subjects with obstructive respiratory function tests (RFTs). The control group consisted of 78 subjects who had nonobstructive RFTs. RFTs, electrocardiograms (ECG), and transthoracic echocardiograms (TTE) were performed, and QTR (QT interval in right precordial leads), QTL (QT interval in left precordial leads), Tp-eR (Tp-e interval in right precordial leads), and Tp-eL (Tp-e interval in left precordial leads) intervals; systolic pulmonary arterial pressure (sPAP); forced expiratory volume in one second (FEV1 )/forced vital capacity (FVC); and peripheral oxygen saturation(POS) values were measured. RESULTS: Tp-eR interval 85.82 ± 5.34 millisecond (ms) versus 62.87 ± 3.55 ms (t = 31.29/p < .00001), cTp-eR interval 97.51 ± 7.18 ms versus 71.07 ± 4.58 ms (t = 27.20/p < .00001), Tp-eR/QTR ratio 0.234 ± 0.02 versus 0.164 ± 0.01 (t = 2.2/p = .014), and Tp-eR/QTcR ratio 0.201 ± 0.01 versus 0.141 ± 0.01 (t = 1.92/p = .028) were statistically significantly higher in COPD subjects. There was a strong negative correlation between RFT and sPAP (sPAP, 29.93 ± 5.1 mm Hg; and FEV1 /FVC, 63.78 ± 3.33%, r = -.85/p < .00001). There was a moderate positive correlation between sPAP and Tp-eR. CONCLUSION: We found Tp-e and cTp-e intervals, Tp-e/QT ratio, and Tp-e/QTc ratio were significantly higher in the COPD patients than in the control group. In addition, in the COPD group, heart rate variability (HRV) parameters were significantly lower on ECG.

Weekly variation of the QT dispersion in healthy subjects and in patients with coronary heart disease.

BACKGROUND: A circadian and seasonal variation of QT dispersion (QTd) has been shown in healthy individuals. Nevertheless, no data exist regarding the weekly influences on the QTd in healthy individuals and in patients with coronary heart disease (CHD). DESIGN: This study was designed to determine whether there is a weekly variability of QTd in healthy individuals and in patients with CHD. METHODS: In this prospective registry study, 53 patients with documented CHD and 57 healthy control subjects were involved. Resting electrocardiograms (ECGs) with double amplitude were recorded at a speed of 50 mm/s on Monday and Friday mornings. QT intervals were measured and QTd were determined by calculating the difference between maximum and minimum QT intervals. Then, rate-corrected QTd (QTcd) were calculated using Bazett's formula. RESULTS: There was a significant weekly variation of QTd in control subjects (39.3 +/- 6.3 vs. 36.2 +/-6.1 ms) (p < 0.05) and in patients (56 +/- 7.3 vs. 47.4 +/- 5.4 ms) (p < 0.0001). There was also a significant weekly variation of QTcd both in control subjects (33 +/- 5.3 vs. 30.7 +/- 5.6 ms) (p < 0.05) and in patients (47.4 +/- 6.4 vs. 41.9 +/- 5.4 ms) (p < 0.0001). CONCLUSIONS: There is a weekly variation of QTd and QTcd in healthy individuals and in patients with CHD, both with a Monday preference. This fact should be taken into consideration during the chronopharmacological treatment or advisal of primary or secondary preventive measures to these subjects or patients.

Influence of haematological parameters before coronary angioplasty on subsequent restenosis.

OBJECTIVES: Restenosis is the major limitation of coronary interventions occurring in nearly a third of the patients undergoing percutaneous transluminal coronary angioplasty (PTCA) with no single, definite predictor demonstrated in an individual patient. Platelets are known to play an important role in the pathogenesis of subsequent restenosis. METHODS AND RESULTS: In a prospective study, follow-up coronary angiographies were performed in 102 consecutive patients with stable angina who underwent a successful PTCA for single-vessel coronary artery disease. Demographics, baseline lipid profiles (total cholesterol, HDL- and LDL-cholesterol, triglycerides) and haematological parameters (red cell, white cell and platelet counts, haemoglobin concentration, haematocrite %, mean platelet volume, platelet mass and fibrinogen levels) were compared between patients with and without restenosis. In the restenosis group, mean platelet volume (8.82 +/- 0.78 fl vs. 8.13 +/- 0.64 fl, p < 0.001), white cell count (8673 +/- 322 x 10(3)/microl vs. 7513 +/- 232 x 10(3)/microl, p < 0.01) and fibrinogen level (4.2 +/- 1.4 g/l vs 3.6 +/- 1.1 g/l) were significantly higher. The relative odds for developing angiographically defined restenosis were 2.49 times greater in diabetics (p = 0.11) and 2.54 times greater in men (p = 0.13). It is 1.43 times greater in patients with higher fibrinogen levels (p = 0.16). But, the relative odds for developing restenosis were 10.43 times greater in patients with larger pre-procedural mean platelet volumes (p < 0.01). CONCLUSIONS: There was a positive correlation between mean platelets volume and loss in luminal diameter between post-angioplasty and follow-up angiographies (r = +2.345, p = 0.01). There was no association between restenosis and haemoglobin, haematocrit, red cell count, white cell count, platelet count, platelet mass and plasma fibrinogen level. The development of restenosis after successful coronary angioplasty may be mainly influenced by the platelet size.