scholarly journals Dynamics of cardiovascular risk factors in patients with obstructive sleep apnoe syndrom undergoing CPAP-therapy

2015 ◽  
Vol 17 (2) ◽  
pp. 41
Author(s):  
N. F. Yakovleva ◽  
A. V. Yakovlev ◽  
S. V. Ponomarev ◽  
A. K. Snegirkova ◽  
I. M. Felikov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Left Ventricular ◽  
Cpap Therapy ◽  
Ectopic Activity ◽  
Ventricular Ectopic Activity ◽  
Obstructive Sleep

The aim of the study was to investigate the intensity of a number of risk factors resulting in cardiovascular complications, such as body mass index (BMI), level of mean arterial pressure (MAP), left ventricular mass index (LVMI), left ventricular ejection fraction (LVEF) and also ECG data (heart rate variability and ventricular ectopic activity) depending on the severity of obstructive respiratory disturbances during sleep. 76 patients with obstructive sleep apnea syndrome (OSAS) were included in the study. 38 patients with a severe form of OSAS underwent prolonged apparatus treatment which included generating positive pressure in their upper airways. After 4-month treatment the patients of this group underwent another examination to estimate all the parameters studied. Examination of patients with OSAS revealed that a number of indices (BMI, LVMI and MAP) showing the intensity of basic modified cardiovascular risk factors, such as obesity and arterial hypertension, correlate to the level of obstructive respiratory disturbances during sleep, which was estimated according to apnea-hypopnea index (AHI). Twenty-four-hour ECG monitoring of patients with OSAS showed a tendency for a decrease in heart rate variability and an increase in ventricular ectopic activity in patients with more apparent obstructive respiratory disturbances during sleep and with negative disease dynamics against the background of CPAP therapy.

Increased afternoon step count increases heart rate variability in patients with cardiovascular risk factors

2021 ◽  
Author(s):  
Natsuki Nakayama ◽  
Masahiko Miyachi ◽  
Koji Tamakoshi ◽  
Shuji Morikawa ◽  
Koji Negi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Step Count

Relationship Between Heart Rate Variability and Cardiovascular Risk Factors in Middle-Aged Males

1996 ◽  
Vol 1 (4) ◽  
pp. 354-362 ◽  
Author(s):  
Sirkku M. Pikkujämsä ◽  
Heikki V. Huikuri ◽  
Markku J. Ikäheimo ◽  
K. E. Juhani Airaksinen ◽  
Asko O. Rantala ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Middle Aged

Heart Rate Variability and Cardiovascular Risk Factors in Adolescent Boys

2014 ◽  
Vol 165 (5) ◽  
pp. 945-950 ◽  
Author(s):  
Breno Q. Farah ◽  
Mauro V.G. Barros ◽  
Babu Balagopal ◽  
Raphael M. Ritti-Dias
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Adolescent Boys

scholarly journals A Prospective Study of CPAP Therapy in Relation to Cardiovascular Outcome in a Cohort of Romanian Obstructive Sleep Apnea Patients

2021 ◽  
Vol 11 (10) ◽  
pp. 1001
Author(s):  
Ioana Maria Chetan ◽  
Anca Diana Maierean ◽  
Bianca Domokos Gergely ◽  
Georgiana Cabau ◽  
Raluca Tomoaia ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Cardiovascular Risk ◽  
Sleep Apnea ◽  
Cardiovascular Risk Factors ◽  
Cardiovascular Outcome ◽  
Cpap Therapy ◽  
Obstructive Sleep ◽  
One Year

Background: Despite efforts at treatment, obstructive sleep apnea (OSA) remains a major health problem, especially with increasing evidence showing an association with cardiovascular morbidity and mortality. The treatment of choice for OSA patients is Continuous Positive Airway Pressure (CPAP), which has been proven in randomized controlled trials to be an effective therapy for this condition. The impact of CPAP on the cardiovascular pathology associated with OSA remains, however, unclear. Although the effect of CPAP has been previously studied in relation to cardiovascular outcome, follow-up of the treatment impact on cardiovascular risk factors at one year of therapy is lacking in a Romanian population. Thus, we aimed to evaluate the one-year effect of CPAP therapy on lipid profile, inflammatory state, blood pressure and cardiac function, assessed by echocardiography, on a cohort of Romanian OSA patients. Methods: We enrolled 163 participants and recorded their baseline demographic and clinical characteristics with a follow-up after 12 months. Inflammatory and cardiovascular risk factors were assessed at baseline and follow up. Results: Our results show that CPAP therapy leads to attenuation of cardiovascular risk factors including echocardiographic parameters, while having no effect on inflammatory markers. Conclusion: Treatment of OSA with CPAP proved to have beneficial effects on some of the cardiovascular risk factors while others remained unchanged, raising new questions for research into the treatment and management of OSA patients.

scholarly journals P936 Early signs of cardiac dysfunction in obesity patients, results of the CARDIOBESE study

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
S M Snelder ◽  
L E De Groot - De Laat ◽  
L A Biter ◽  
M Castro Cabezas ◽  
N Pouw ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Standard Deviation ◽  
Cardiovascular Risk Factors ◽  
Cardiac Dysfunction ◽  
P Value ◽  
Early Signs

Abstract Introduction Obesity is becoming a global epidemic. Current knowledge on early signs of cardiac dysfunction in obesity patients is insufficient. The onset of heart failure in obesity patients cannot be fully explained by the presence of traditional cardiovascular risk factors. Purpose To detect early signs of cardiac dysfunction in obesity patients without known cardiovascular disease. Methods The CARDIOBESE-study is a cross-sectional multicentre study of 100 obesity patients scheduled for bariatric surgery (body mass index (BMI) ≥35 kg/m2) without known cardiovascular disease, and 50 age-matched and gender-matched non-obese controls (BMI ≤30 kg/m2). Speckle tracking echocardiography, biomarkers and Holter monitoring were used to identify parameters that are able to show cardiac dysfunction at a very early stage in obesity patients. Results Obesity patients had impaired left ventricular ejection fraction, global longitudinal strain (GLS) and diastolic function parameters (e.g. septal e" velocity, lateral e" velocity, E/e’ and E/A-ratio) as compared to the non-obese controls (Table). C-reactive protein (CRP) and heart rate were increased, whereas heart rate variability (Standard deviation of NN intervals, SDNN) was decreased. Obesity patients were subdivided in patients with impaired (< -17%, n = 56) or normal GLS (n = 36). Comparison between these patients revealed no differences regarding BMI, prevalence of traditional cardiovascular risk factors or CRP value. Nevertheless, patients with abnormal GLS had a higher waist circumference and lower SDNN. Conclusion There is a high prevalence of subclinical cardiac dysfunction as measured by GLS in obesity patients (56%), which appears to be related to abdominal fat and decreased heart rate variability and not to BMI, traditional cardiovascular risk factors or CRP. Non-obese controls (n = 50) Obesity patients (n = 100) p-value Obesity patients with normal GLS (n = 36) Obesity patients with impaired GLS (n = 56) p-value Age (years) 49.2 ± 9.5 47.9 ± 7.6 0.36 47.6 ± 7.1 48.3 ± 7.6 0.68 BMI (kg/m2) 24.9 ± 3.2 42.9 ± 4.1 <0.001 42.7 ± 4.2 42.7 ± 4.1 0.98 Waist circumference (cm) 81.1 ± 10.4 133.1 ± 12.3 <0.001 128.2 ± 11.5 135.2 ± 10.5 0.006 E/A- ratio 1.19 ± 0.26 1.01 ± 0.3 <0.001 1.08 ± 0.2 0.96 ± 0.27 0.048 Septel e" velocity 10.3 ± 9.8 8.1 ± 1.8 0.03 8.2 ± 1.9 7.8 ± 1.7 0.24 E/e" 8.5 ± 2.1 8.9 ± 2.5 0.32 9.5 ± 2.4 8.7 ± 2.5 0.14 CRP (mg/L) 1.9 ± 2.9 8.8 ± 8.8 <0.001 8.5 ± 7.3 9.3 ± 10.1 0.67 SDNN 160.2 ± 35.4 109.4 ± 46.0 <0.001 130.4 ± 48.3 98.9 ± 41.2 0.001 Table: Selection of parameters. Values are means ± SD. SDNN= Standard deviation of NN intervals (heart rate variability)

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