scholarly journals A pilot project to study troponin I in a representative sample of the region from the ESSE-RF study: distribution among population and associations with risk factors

2021 ◽  
Vol 20 (4) ◽  
pp. 2940
Author(s):  
S. A. Shalnova ◽  
O. M. Drapkina ◽  
A. V. Kontsevaya ◽  
E. B. Yarovaya ◽  
V. A. Kutsenko ◽  
...  

Aim. To assess the distribution of cardiac troponin I (cTnI) in a sample of the region from the ESSE-RF study and to study its associations with risk factors (RFs) and the Systematic Coronary Risk Evaluation (SCORE) system.Material and methods. This observational cross-sectional study includes a representative sample of the population aged 25-64 years of the Vologda region (n=1591). The analysis included sex, age, behavioral and cardiometabolic RFs, biomarkers, prior cardiovascular diseases (CVDs), and SCORE. The differences between age-sex groups were considered significant at p<0,05.Results. According to study results, asymmetry in cTnI distribution among population was revealed. The median cTnI level in the sample was 1,5 pg/ml (95% confidence interval, 0,80-2,50). Noteworthy is the high level of the 99th percentile of cTnI in men aged 45-54 years (55,3 pg/ml). At the same time, the 99th percentile for the entire sample in men was 47,7 pg/ml, while in women — 13,3 pg/ml. The cTnI level log increases significantly with age in both men (p<0,0001) and women (p<0,0001), but faster in men. There was a higher level of cTnI in young men compared to same-age women. In multivariate analysis, significant associations of cTnI levels with sex, age, blood low-density lipoprotein cholesterol, abdominal obesity, hypertension, and brain natriuretic peptide level were obtained. Insufficient accuracy of classification of study participants by SCORE risk was revealed.Conclusion. The distribution of cTnI in the sample of the Russian region from the ESSE-RF study is sharply shifted to the left (median, 1,5 pg/ml). Higher cTnI levels were revealed in young men compared to their female peers. Significant associations of cTnI with obesity (body mass index, hypertension, elevated low-density lipoprotein cholesterol, and brain natriuretic peptide concentration) were found. It was demonstrated that SCORE does not accurately classify individuals with high and moderate cТnI levels.

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
YanQin Lu ◽  
QianQian Bi ◽  
Wang Fu ◽  
LiLi Liu ◽  
Yin Zhang ◽  
...  

Background. It is hard to differentiate transient symptoms associated with infarction (TSI) from transient ischemic stroke (TIA) without MRI in the early onset. However, they have distinct clinical outcomes and respond differently to therapeutics. Therefore, we aimed to develop a risk prediction model based on the clinical features to identify TSI. Methods. We enrolled 230 consecutive patients with transient neurologic deficit in the Department of Neurology, Tongji University Affiliated Tenth People’s Hospital from March 2014 to October 2019. All the patients were assigned into TIA group (DWI-negative) or TSI group (DWI-positive) based on MRI conducted within five days of onset. We summarized the clinical characteristics of TSI by univariate and multivariate analyses. And then, we developed and validated a nomogram to identify TSI by the logistic regression equation. Results. Of the 230 patients, 41.3% were diagnosed with TSI. According to the multivariate analysis, four independent risk factors, including smoking history, low-density lipoprotein cholesterol, brain natriuretic peptide precursor, and ABCD3 score, were incorporated into a nomogram. We developed a predictive model named ABCD3-SLOPE. The calibration curve showed good agreement between nomogram prediction and observation. The concordance index (C-index) of the nomogram for TSI prediction was 0.77 (95% confidence interval, 0.70-0.83), and it was well-calibrated. Conclusions. Smoking history, low-density lipoprotein cholesterol, brain natriuretic peptide precursor, and ABCD3 score were reliable risk factors for TSI. ABCD3-SLOPE was a potential tool to quantify the likelihood of TSI.


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.


2020 ◽  
Vol 319 (2) ◽  
pp. H481-H487
Author(s):  
Theodore M. DeConne ◽  
Eric R. Muñoz ◽  
Faria Sanjana ◽  
Joshua C. Hobson ◽  
Christopher R. Martens

Independent of other cardiometabolic risk factors, low-density lipoprotein cholesterol, and systolic blood pressure were found to be negatively associated with several parameters of mitochondrial respiration in peripheral blood mononuclear cells of healthy adults. These data suggest that low-density lipoprotein cholesterol and systolic blood pressure may induce metabolic reprogramming of immune cells, contributing to increased cardiovascular disease risk and impaired immune health.


2021 ◽  
Vol 24 (2) ◽  
Author(s):  
Hakuo Takahashi

Objectives: This study aimed to evaluate cardiac function in elderly inpatients admitted to a recovery phase rehabilitation ward. N-terminal pro-B-type natriuretic peptide (NT-proBNP) was statistically analyzed, along with other laboratory and demographic variables. Methods: Laboratory parameters included NT-proBNP, serum albumin, hemoglobin (Hb), low-density lipoprotein cholesterol, hemoglobin A1c, and estimated glomerular filtration rate (eGFR). In addition, number of medications and trends in the use of cardiovascular agents were examined. Results: Four hundred fifty-seven patients were admitted throughout the year 2017 (188 men and 269 women, aged 83 ±10.1 years). The number of patients with NT-proBNP levels of more than 125, 400, and 900 pg/mL were 347 (75.9%), 204 (44.6%), and 109 (23.9%), respectively. The percentage of patients had been treated for hypertension, diabetes mellitus, and hypercholesterolemia were 51.8%, 20.5%, and 18.0%, respectively. N-terminal pro-B-type natriuretic peptide positively correlated with age (p=0.003), and negatively albumin (p<0.0000) and Hb (p=0.0000). Multiple regression analysis of NT-proBNP with age, albumin, eGFR, Hb, low-density lipoprotein cholesterol, and number of medications as independent variables revealed significant negative correlation only with albumin (p<0.0000) and eGFR (p<0.0000) independently. Conclusions: These results indicate that 3 out of 4 elderly inpatients in the recovery phase of rehabilitation are affected by chronic congestive heart failure, and management of nutrition is essential for prevention and progression of heart failure in this group.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Satou ◽  
Y Matsuzawa ◽  
E Akiyama ◽  
M Konishi ◽  
T Yoshii ◽  
...  

Abstract Introduction Dyslipidemia, especially an increase in the low-density lipoprotein cholesterol (LDL-C) has been established as one of the most important risk factors for atherosclerotic cardiovascular diseases. In contrast, some recent studies have shown that the low LDL-C level was associated with short-term poor prognosis in patients with cardiovascular disease, and this is so-called “cholesterol paradox”. However, there is few data evaluating the effects on long-term outcome of “cholesterol paradox” in patients with acute coronary syndrome (ACS). Purpose The purpose of this study was to examine whether the low LDL-C level on admission affect long-term prognosis in patients with ACS. Methods A total of 434 ACS patients who survived to hospital discharge were enrolled in this study. All patients were statin-naïve on admission, and were received statin therapy after hospitalization. Patients were divided into the low LDL-C (≤114 mg/dl) and high LDL-C (&gt;114 mg/dl) groups using the first tertile of the LDL-C level on admission. The primary endpoint was composite outcomes of all-cause death, myocardial infarction, ischemic stroke, hospitalization for congestive heart failure and unplanned revascularization. Results During a median follow-up period of 5.5 years, primary endpoint occurred in 117 patients. Overall, event-free rates differed significantly between the low and high LDL-C groups, demonstrating the lower event-free rate in patients with the low LDL-C group (38.9% in low LDL-C group versus 20.7% in high LDL-C group, p=0.0002; Figure). Even after adjustment for age, sex, body mass index, and various classical risk factors, the low LDL-C group was significantly at higher risk for primary composite outcomes compared to the high LDL-C group (adjusted hazard ratio 1.65, 95%-confidence interval 1.10–2.49, p=0.02). Conclusion In patients with ACS, the low LDL-C level on admission was significantly associated with long-term worse prognosis, regardless of statin therapy at discharge. In ACS patients with low LDL-C level, it might be necessary for elucidating the residual risk for secondary adverse event to improve their prognosis. Funding Acknowledgement Type of funding source: None


2014 ◽  
Vol 13 (3) ◽  
pp. 46-50 ◽  
Author(s):  
T. A. Mulerova ◽  
M. Yu. Ogarkov ◽  
S. A. Maksimov ◽  
A. Ye. Skripchenko ◽  
G. V. Artamonova

The relationships of risk factors with hypertension in workers of coal enterprises were studied. Based on the identified predictors developed risk prediction scale of this disease in miners.Surveyed 792 employees of the mine “Polosukhinskaya”. Along with a complete clinical, anthropometric and laboratory testing, conducted settlement criterion relative risk of developing hypertension.The most important factors determining the increased risk of disease in workers of coal enterprises were: increased body weight, age, waist circumference, and the index “waist/hip”, elevated levels of total cholesterol, triglycerides, low density lipoprotein cholesterol, atherogenic index. These signs and have the greatest prognostic factors that increase the risk of developing the disease.


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