scholarly journals Cardiovascular Risk Distribution in a Contemporary Polish Collective

Author(s):  
Anita Liput-Sikora ◽  
Anna Cybulska ◽  
Wiesława Fabian ◽  
Anna Fabian-Danielewska ◽  
Marzanna Stanisławska ◽  
...  

The aim of this study was to assess the prevalence of selected risk factors for cardiovascular disease (hypertension, overweight, obesity, carbohydrate metabolism disorders, a positive family history, a lack of physical activity), and to estimate the risk of a cardiovascular incident according to the Systematic Coronary Risk Evaluation (SCORE) algorithm for patients aged 35, 40, 45, 50, and 55 years, included in a primary-care prevention program, with regard to selected variables (sex and age brackets). The study sample consisted of 2009 subjects, 63% of whom were women. The largest group was the group of 35-year-olds (27%). The research method was the analysis of medical documentation of primary-care patients living in West Pomerania included in the Program of Prevention and Early Detection of Cardiovascular Disease of the National Health Fund. We collected data concerning risk factors for cardiovascular disease, blood pressure, anthropometric measurements (arm circumference, waist circumference, height, weight), body mass index (BMI), and the levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), and fasting glucose, as well as the SCORE results. Men more often than women were overweight and obese, had hyperglycemia, and had elevated levels of total cholesterol, LDL cholesterol, and triglycerides (p < 0.001). There was also a statistically significant difference in the odds of a cardiovascular incident (p < 0.001)—the SCORE results obtained by men were higher. Men require special preventive measures in order to reduce their risk factors for cardiovascular disease, especially hypertension, dyslipidemia, diabetes, overweight, obesity, smoking, and a positive family history.

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246568
Author(s):  
Ghada M. A. Ajabnoor ◽  
Suhad Bahijri ◽  
Aliaa Amr Alamoudi ◽  
Rajaa Al Raddadi ◽  
Jawaher Al-Ahmadi ◽  
...  

Population specific associations between cardiovascular disease with various risk factors including pre-hypertension and hypertension were reported. We aimed to investigate the association of higher than optimal blood pressure with measures of dysglycemia, dyslipidemia, and markers of inflammation in non-diabetic Saudi adults hoping to improve current Saudi guidelines to prevent cardiovascular disease. Volunteers were recruited randomly from public healthcare centers in Jeddah. Demographic information, blood pressure (BP), and anthropometric measurements were taken. Fasting blood samples were drawn, then again following 1-hour oral glucose tolerance test. Glycated hemoglobin, fasting plasma glucose (FPG), lipid profile, highly sensitive C- reactive protein, gamma glutamyl transferase, and 1-hour plasma glucose were measured. Complete data was found for 742 men and 592 women. Pre-hypertension was found in 47.2% of men, and 24.7% of women, while 15.1% of men, and 14.6% of women were hypertensive. Means of measured variables differed significantly between normotensive, pre-hypertensive, and hypertensive groups of men and women in gender specific manner. Association between measured variables and elevated BP, and hypertension were assessed using logistic regression models. After adjustment for age, body mass index and waist circumference, elevated blood pressure was associated with elevated triglycerides in men, while hypertension was significantly associated with elevated fasting plasma glucose, total cholesterol, triglycerides, low density lipoprotein- cholesterol, and low high density lipoprotein- cholesterol in men, and elevated triglycerides, and total cholesterol in women. Therefore, it is strongly recommended to measure lipid profile, specifically TG, for all diagnosed pre-hypertensive and hypertensive patients in addition to FPG for men.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Sheila M Manemann ◽  
Suzette J Bielinski ◽  
Ethan D Moser ◽  
Jennifer L St. Sauver ◽  
Paul Y Takahashi ◽  
...  

Background: Larger within-patient variability of lipid levels has been associated with an increased risk of cardiovascular disease (CVD). However, measures of lipid variability are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record (EHR)-based population cohort and assessed associations with incident CVD. Methods: We identified all individuals ≥40 years of age who resided in Olmsted County, MN on 1/1/2006 (index date) without prior CVD. CVD was defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention or stroke. Patients with ≥3 measurements of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and/or triglycerides during the 5 years before the index date were retained in the analyses. Lipid variability was calculated using variability independent of the mean (VIM). Patients were followed through 9/30/2017 for incident CVD (including CVD death). Cox regression was used to investigate the association between quintiles of lipid VIMs and incident CVD. Results: We identified 18,642 individuals (mean age 60; 55% female) who were free of CVD at baseline and VIM calculated for at least one lipid measurement. After adjustment, those in the highest VIM quintiles of total cholesterol had a 25% increased risk of CVD (Q5 vs. Q1 HR: 1.25, 95% CI: 1.08-1.45; Table). We observed similar results for LDL-C (Q5 vs. Q1 HR: 1.20, 95% CI: 1.04-1.39) and HDL-C (Q5 vs. Q1 HR: 1.25, 95% CI: 1.09-1.43). There was no association between triglyceride variability quintiles and CVD risk. Conclusion: In a large EHR-based population cohort, high variability in total cholesterol, HDL-C and LDL-C was associated with an increased risk of CVD, independently of traditional risk factors, suggesting it may be a target for intervention. Lipid variability can be calculated in the EHR environment but more research is needed to determine its clinical utility.


Author(s):  
Leilah K Grant ◽  
Charles A Czeisler ◽  
Steven W Lockley ◽  
Shadab A Rahman

Abstract Context Dyslipidemia and cardiovascular disease are common in shift workers and eating at night may contribute to this pathophysiology. Objective To examine the effects of eating at different times of day on lipid profiles. Design Two 24-hour baseline days with 8 hours of sleep, 3 meals (breakfast, lunch, dinner) and a snack, followed by a 40-hour constant routine (CR) with hourly isocaloric meals. Setting Intensive Physiological Monitoring Unit, Brigham and Women’s Hospital. Participants Twenty-one healthy adults [23.4 ± 2.7 years, 5F] Intervention Forty-hour CR. Main Outcome Measures A standard clinical lipid panel, consisting of total cholesterol, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), was assayed in blood samples collected 4-hourly across ~4 days. Results When participants ate at night, levels of TG were similar to eating during the day, however, these levels at night were reached with consuming approximately half the calories. Additionally, 24-hour levels of TG were 10% higher when meals were consumed hourly across 24 hours compared to consuming a typical 3-meal schedule while awake during the day and sleeping at night. The endogenous circadian rhythms of TG, which peaked at night, were shifted earlier by ~10 hours under baseline conditions, whereas the rhythms in total cholesterol, HDL-C, and LDL-C remained unchanged and peaked in the afternoon. Conclusions The time-of-day dependency on postprandial lipid metabolism, which leads to hypersensitivity in TG responses when eating at night, may underlie the dyslipidemia and elevated cardiovascular disease risk observed in shift workers.


Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1725 ◽  
Author(s):  
Lauren O'Connor ◽  
Jia Li ◽  
R. Drew Sayer ◽  
Jane Hennessy ◽  
Wayne Campbell

Adherence to healthy eating patterns (HEPs) is often short-lived and can lead to repetitive attempts of adopting—but not maintaining—HEPs. We assessed effects of adopting, abandoning, and readopting HEPs (HEP cycling) on cardiovascular disease risk factors (CVD-RF). We hypothesized that HEP cycling would improve, worsen, and again improve CVD-RF. Data were retrospectively pooled for secondary analyses from two randomized, crossover, controlled feeding trials (n = 60, 52 ± 2 years, 30.6 ± 0.6 kg/m2) which included two 5–6 week HEP interventions (Dietary Approaches to Stop Hypertension-style or Mediterranean-style) separated by a four-week unrestricted eating period. Ambulatory and fasting blood pressures (BP), fasting serum lipids, lipoproteins, glucose, and insulin were measured before and during the last week of HEP interventions. Fasting systolic BP and total cholesterol decreased (−6 ± 1 mm Hg and −19 ± 3 mg/dL, respectively, p < 0.05), returned to baseline, then decreased again (−5 ± 1 mm Hg and −13 ± 3 mg/dL, respectively, p < 0.05) when adopting, abandoning, and readopting a HEP; magnitude of changes did not differ. Ambulatory and fasting diastolic BP and high-density lipoprotein cholesterol concentrations followed similar patterns; glucose and insulin remained unchanged. Low-density lipoprotein cholesterol concentrations decreased with initial adoption but not readoption (−13 ± 3 and −6 ± 3, respectively, interaction p = 0.020). Healthcare professionals should encourage individuals to consistently consume a HEP for cardiovascular health but also encourage them to try again if a first attempt is unsuccessful or short-lived.


Author(s):  
Roya Khajeh Mehrizi ◽  
Hassan Mozaffari-Khosravi ◽  
Parisa Aboee

Background: Diabetes is an endocrine disorder that is strongly associated with cardiovascular disease. The use of alternative therapy has recently increased and medicinal plants are one of the alternative therapies for diabetic patients. This study aimed to evaluate the protective effect of Urtica dioica (Nettle) on lipid profile in patients with type 2 diabetes (T2D). Method: This parallel randomized double-blinded clinical trial was conducted on 60 men and women with T2D for an 8-week period. The participants were randomly assigned to received 100mg/kg/day extract of Urtica Dioica (UG) and the placebo group (PG). Blood triglyceride (TG), total cholesterol (TC), low density lipoprotein cholesterol (LDLc) and high density lipoprotein cholesterol (HDLc) were measured at baseline and end of the study. The data were analyzed using SPSS 16.0 and P < 0.05 was considered significant. Results: The mean difference of total cholesterol showed no significant difference in the UG compared to the PG which were -10.56±40.5 and -19.5± 35.9 (P = 0.14), respectively. The study also showed no significant difference between TG and LDLc in the UG compared to the PG (-39.8±171.5 vs. -23.37±72.3 (P = 0.68) and -3.16±33.4 vs. -11.2±35.6 (P = 0.15), respectively). The mean difference of HDLc in the UG and PG were -2.68±8.11 and 2.62±10.6 (P = 0.05), respectively, indicating a significant increase in the UG compared to the PG. Conclusion: The results demonstrated that consumption of 100mg/kg/day extract of UD for 8 weeks by increasing HDL concentration can decrease the risk of cardiovascular disease in patients with T2D.


Author(s):  
Iman Nazar Talib Al-Ani ◽  
Hadeer Akram AbdulRazzaq Al-Ani ◽  
Hanan Hussein ◽  
Syed Azhar Syed Sulaiman ◽  
Aseel Hadi Abdulameer Al-Hashimi ◽  
...  

Objective: is to assess the dyslipidemia control and demographic differences in lipid patterns among dyslipidemic cardiac patients. Method: data based a retrospective analysis of 504 persons (age mean 58.16 ± 11.119 years) was conducted in Malaysia which estimated the lipid abnormalities in statin-treated patients. Demographic data including age, race, alcoholic and smoking status were collected. Lipid profiles including triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured. Results: a desirable level of (TC) and (TG) were 62.2% and 54.4% respectively, optimal level of (LDL-C) was 66.5% and the normal level of (HDL-C) was 54.2%. Risk factor analysis of dyslipidemia was done with a primary focus on the possible impact of statin type, gender, race and dyslipidemia type. Atorvastatin was significantly more effective for primary dyslipidemia than simvastatin and lovastatin in HDL cholesterol ( p < 0.002), while in LDL cholesterol (p = 0.001) and total cholesterol (p < 0.03) simvastatin was significantly found more effective for primary dyslipidemia. A significant correlation emerged between gender and statin type in HDL cholesterol (p < 0.02) and total cholesterol TC (p < 0.001), atorvastatin is found more effective to be used by males than females. A correlation was also significant between gender and dyslipidemia type in HDL cholesterol (p < 0.01). Results for triglyceride reported a significant relationship between age, race and statin type (p < 0.001), atorvastatin was found to be more effective among Chinese while lovastatin was more effective among Indians. Finally 18.2% abnormality of HDL was explained by interactions of risk factors: first statin type and dyslipidemia type, second for gender and dyslipidemia type and the third was gender and statin type. Conclusions: more than 50% of cardiac outpatients were in an acceptable range of lipid profile evaluation. This could support the need for increasing attention to basic monitoring of cardiovascular risk factors in these dyslipidemic patients particularly in Asian population.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Hiroaki Ikezaki ◽  
Elise Lim ◽  
Ching-Ti Liu ◽  
L Adrienne Cupples ◽  
Bela F Asztalos ◽  
...  

Introduction: Elevated plasma low-density lipoprotein cholesterol (LDL-C), small-dense LDL-C (sdLDL-C), LDL-triglyceride (LDL-TG), triglycerides (TG), remnant-lipoprotein cholesterol (RLP-C), triglyceride-rich lipoprotein-C (TRL-C), very low-density lipoprotein cholesterol (VLDL-C), and lipoprotein(a) [Lp(a)] levels have been associated with increased atherosclerotic cardiovascular disease (ASCVD) risk. However, these parameters have not been included in risk factors for ASCVD in the pooled cohort equation (PCE). Hypothesis: We assessed the hypothesis that these atherogenic lipoprotein parameters add significant information for ASCVD risk prediction in the Framingham Offspring Study. Methods: We evaluated 3,147 subjects without ASCVD at baseline (mean age 58 years) from participants of Framingham Offspring Study cycle 6, 677 (21.5%) of whom developed inclusive ASCVD over 16 years. Biomarkers of risk were assessed in frozen plasma samples. Total cholesterol, TG, HDL-C, direct LDL-C, sdLDL-C, LDL-TG, Lp(a), RLP-C, and TRL-C were measured by standardized automated analysis. Calculated LDL-C, large buoyant low-density lipoprotein cholesterol (lbLDL-C), VLDL-C, and non-HDL-C values were calculated. Data were analyzed using Cox proportional regression analysis and net reclassification improvement (NRI) analysis to identify parameters significantly associated with the incidence of ASCVD after controlling for standard ASCVD risk factor and applying the PCE model. Results: All specialized lipoprotein parameters were significant ASCVD risk factors on univariate analysis, but only direct LDL-C, sdLDL-C, and Lp(a) were significant on multivariate analysis with standard risk factors in the model. Together these parameters significantly improved the model c statistic (0.716 vs 0.732, P < 0.05) and net risk reclassification (mean NRI 0.104, P < 0.01) for ASCVD risk. Using the ASCVD risk pooled cohort equation, sdLDL-C, TG, LDL-TG, LDL-C, RLP-C, and TRL-C individually added significant information, but no other parameter added significant information with sdLDL-C (hazard ratio 1.30 for 75th vs 25th percentile, P < 0.0001) in the model. Conclusions: In multivariate analysis, sdLDL-C, direct LDL-C, and Lp(a) contributed significantly to ASCVD risk, but only sdLDL-C added significant risk information to the PCE model, indicating that sdLDL-C may be the most atherogenic lipoprotein particle.


Author(s):  
Jiangang Chen ◽  
Yuan Zhou ◽  
Xinliang Pan ◽  
Xiaolong Li ◽  
Jiamin Long ◽  
...  

Purpose: This cross-sectional study examined the associations between health-related physical fitness (HPF) and cardiovascular disease (CVD) risk factors in overweight and obese university staff. Methods: A total of 340 university staff (109 women, mean age 43.1 ± 9.7 years) with overweight (n = 284) and obesity (n = 56) were included. The HPF indicators included skeletal muscle mass index (SMI), body fat percentage (BFP), grip strength (GS), sit-and-reach test (SRT), and vital capacity index (VCI). CVD risk factors were measured, including uric acid (UA), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glucose (GLU). Results: BFP, SMI, and GS were positively associated with UA level (β = 0.239, β = 0.159, β = 0.139, p < 0.05). BFP was positively associated with TG and TG/HDL-C levels (β = 0.421, β = 0.259, p < 0.05). GS was positively associated with HDL-C level (β = 0.244, p < 0.05). SRT was negatively associated with GLU level (β = −0.130, p < 0.05). Conclusions: In overweight and obese university staff, body composition, muscle strength, and flexibility were associated with CVD risk factors. An HPF test may be a practical nonmedical method to assess CVD risk.


2019 ◽  
Vol 12 (04) ◽  
pp. 2037-2041
Author(s):  
Alneil Hamza ◽  
Moadah Abbas ◽  
Elyasa Elfaki ◽  
Mariam Ibrahim ◽  
Ezeldine K Abdalhabib ◽  
...  

Postmenopausal women tend to have significant changes in lipid profile when compared with premenopausal women. Incidence of cardiovascular disease after menopause believed to occur due to changes in the plasma lipid levels. This study was conducted to estimate and compare serum levels of total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol (LDL-c) and high-density lipoprotein cholesterol (HDL-c) among Sudanese pre and postmenopausal women. 94 participant women were enrolled in this cross-sectional study. 47 post-menopause women age 48 - 70 years and 47 pre-menopause women age 25-47 years. Estimation of serum lipid profile was carried out using Biosystems colorimetric methods and results statistics were computed by using SPSS. A significant increase in total cholesterol(TC), triglyceride, and LDL-c with a significant decrease in (HDL-c) level among postmenopausal women where found, when compared with pre-menopause women (P-value= <0.05). Total cholesterol and LDL-C level were observed significantly increased according to three interval time duration of menopausal onset (p=0.009 and p=0.034). A positive correlation was observed between the age of and total cholesterol levels in postmenopausal women (R=0.463, P-value =0.001). Study results revealed that postmenopausal status was associated with substantial changes in lipid profile that considered risk factors for cardiovascular disease in Sudanese women.


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