scholarly journals Cardiovascular disease risk calculators to reflect the subclinical atherosclerosis of coronary artery in rheumatoid arthritis: a pilot study

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Se Hee Kim ◽  
Sang-Heon Lee ◽  
Hae-Rim Kim ◽  
Hong Ki Min
Keyword(s):  
Rheumatoid Arthritis ◽  
Cardiovascular Disease ◽  
Regression Analysis ◽  
Coronary Artery ◽  
Linear Regression ◽  
Risk Score ◽  
Subclinical Atherosclerosis ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Cvd Risk

Abstract Background Cardiovascular diseases (CVDs) are the leading cause of death in patients with rheumatoid arthritis (RA). Coronary artery calcium (CAC) score quantifies the severity of atherosclerosis. We estimated CVD risk using several methods and compared these with the CAC score to identify the most suitable CVD risk calculator in RA patients. Methods We recruited RA patients, and the 10-year CVD risk was assessed using various tools, viz. Framingham risk score, Systemic Coronary Risk Evaluation (SCORE), Atherosclerotic Cardiovascular Disease (ASCVD) risk estimator plus, QRISK3, Expanded Risk Score in Rheumatoid Arthritis (ERS-RA), and Reynolds risk score. Computed tomography was used to determine the CAC score of each patient. Correlation analysis and linear regression analysis between the CAC score and CVD risk score was performed. Results In total, 54 RA patients were enrolled. ERS-RA showed the highest correlation coefficient (r = 0.430, P = 0.001). In multivariate linear regression analysis, ERS-RA (β = 10.01, 95% confidence interval 3.78–16.23) showed a positive association with the CAC score in RA patients. Conclusions The ERS-RA method was highly correlated with the CAC score in RA patients. Therefore, the application of the ERS-RA method may be suitable for predicting subclinical atherosclerosis and CVD risk in RA patients.

The Extent of Subclinical Atherosclerosis Is Partially Predicted by the Inflammatory Load: A Prospective Study over 5 Years in Patients with Rheumatoid Arthritis and Matched Controls

2015 ◽  
Vol 42 (6) ◽  
pp. 935-942 ◽  
Author(s):  
Anna Södergren ◽  
Kjell Karp ◽  
Christine Bengtsson ◽  
Bozena Möller ◽  
Solbritt Rantapää-Dahlqvist ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Linear Regression ◽  
Prospective Study ◽  
Risk Score ◽  
Subclinical Atherosclerosis ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
A Prospective Study ◽  
Reynolds Risk Score

Objective.This prospective followup study investigated subclinical atherosclerosis in relation to traditional cardiovascular disease (CVD) risk factors and inflammation in patients with rheumatoid arthritis (RA) recruited at diagnosis compared with controls.Methods.Patients diagnosed with early RA were consecutively recruited into a prospective study. From these, a subgroup aged ≤ 60 years (n = 71) was consecutively included for ultrasound measurement of intima-media thickness (IMT) and flow-mediated dilation (FMD) at inclusion (T0) and after 5 years (T5). Age- and sex-matched controls (n = 40) were also included.Results.In the Wilcoxon signed-rank test, both IMT and FMD were significantly aggravated at T5 compared to baseline in patients with RA, whereas only IMT was significantly increased in controls. In univariate linear regression analyses among patients with RA, the IMT at T5 was significantly associated with age, systolic blood pressure (BP), cholesterol, triglycerides, Systematic Coronary Risk Evaluation (SCORE), and Reynolds Risk Score at baseline (p < 0.05). Similarly, FMD at T5 was significantly inversely associated with age, smoking, systolic BP, SCORE, and Reynolds Risk Score (p < 0.05). A model with standardized predictive value from multiple linear regression models including age, smoking, BP, and blood lipids at baseline significantly predicted the observed value of IMT after 5 years. When also including the area under the curve for the 28-joint Disease Activity Score over 5 years, the observed value of IMT was predicted to a large extent.Conclusion.This prospective study identified an increased subclinical atherosclerosis in patients with RA. In the patients with RA, several traditional CVD risk factors at baseline significantly predicted the extent of subclinical atherosclerosis 5 years later. The inflammatory load over time augmented this prediction.

scholarly journals FRAX® Fracture Risks Are Associated with Coronary Artery Calcification Score

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Tzyy-Ling Chuang ◽  
Yi-Da Li ◽  
Fu-Tsung Hsiao ◽  
Mei-Hua Chuang ◽  
Yuh-Feng Wang
Keyword(s):  
Regression Analysis ◽  
Coronary Artery ◽  
Linear Regression ◽  
Fracture Risk ◽  
Coronary Artery Calcification ◽  
Assessment Tool ◽  
Clinical Laboratory ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Mineral Density

Purpose. To examine the association between fracture risk assessment tool (FRAX) scores and coronary artery calcification (CAC) score in adults. Methods. The medical records of 81 adults who underwent both coronary computed tomography and bone mineral density (BMD) studies in a package during their health exams were reviewed at a regional hospital in Southern Taiwan. Data collected included health history, anthropomorphic characteristics, clinical laboratory results, and BMD. Fracture risk was determined using FRAX. Univariate and multivariate linear regression analysis were used to assess the association between CAC score and 10-year probability of hip fracture (HF) and major osteoporotic fracture (MOF) determined by FRAX. Results. The mean age of the patients was 55.8 years, and 63.0% were male. Univariate linear regression analysis showed that increases in MOF and HF risks, as measured by FRAX, were significantly and positively associated with CAC score. Multiple linear regression analysis adjusting for potential confounders showed that CAC score remained significantly associated with four FRAX indicators, including right MOF (r=0.45, P<0.001), left MOF (r=0.31, P=0.021), right HF (r=0.38, P=0.001), and left HF (r=0.23, P=0.049). Conclusions. Increased risks of MOF and HF as determined by FRAX were significantly and independently associated with CAC score.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

scholarly journals The Association of Circulating MiR-29b and Interleukin-6 with Subclinical Atherosclerosis

2017 ◽  
Vol 44 (4) ◽  
pp. 1537-1544 ◽  
Author(s):  
Yu-qing Huang ◽  
Jie Li ◽  
Ji-yan Chen ◽  
Ying-ling Zhou ◽  
An-ping Cai ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Interleukin 6 ◽  
Subclinical Atherosclerosis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Group ◽  
Study Group ◽  
Circulating Levels

Background/Aims: Although it is widely acknowledged that atherosclerosis is mainly a chronic inflammatory process, in which both miR-29b and interleukin-6 (IL-6) play multifaceted roles, the association between miR-29b and IL-6 remains unknown. The aim of the present study was to explore the relationship between miR-29b and IL-6 and to test whether circulating levels of miR-29b and IL-6 could predict atherosclerosis. Methods: A total of 170 participants were divided into two groups according to carotid intima-media thickness (CIMT): study group (CIMT ≥ 0.9mm) and control group (CIMT < 0.9mm). Levels of circulating miR-29b and IL-6 were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA), respectively. The association of miR-29b and IL-6 levels with CIMT was assessed using Spearman correlation analysis and multiple linear regression analysis. Results: The study group showed higher miR-29b levels (31.61 ± 3.05 vs. 27.91 ± 1.71 Ct, p < 0.001) and IL-6 levels (3.40 ± 0.67 vs. 2.99 ± 0.37 pg/ml, p < 0.001), compared with the control group. CIMT was positively correlated with miR-29b (r = 0.587, p < 0.001) and IL-6 (r = 0.410, p < 0.001), and miR-29b levels were also correlated with IL-6 (r = 0.242, p = 0.001). Multiple linear regression analysis also showed that CIMT was positively correlated with miR-29b and IL-6. After adjustment for age, body mass index, systolic blood pressure, total cholesterol and C-reactive protein, CIMT was still closely correlated with miR-29b and IL-6. The combination of miR-29b and IL-6 (AUC = 0.901, p < 0.001) offered a better predictive index for atherosclerosis than either miR-29b (AUC = 0.867, p < 0.001) or IL-6 (AUC = 0.747, p < 0.001) alone. Conclusion: Circulating levels of miR-29b and IL-6 may be independently correlated with subclinical atherosclerosis, and may serve as novel biomarkers for the identification of atherosclerosis.

scholarly journals Relationship between Thyroid and Kidney Function: Analysis from the Korea National Health and Nutrition Examination Survey Between 2013 and 2015

2020 ◽  
Vol 45 (3) ◽  
pp. 442-454 ◽  
Author(s):  
Sang Hyuk Kim ◽  
Hyang Ki Min ◽  
Sung Woo Lee
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Kidney Function ◽  
Thyroid Function ◽  
Direct Effect ◽  
National Health ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Health And Nutrition

Introduction: Thyroid function is evaluated by thyroid stimulating hormone (TSH) and free thyroxine (fT4). Although many studies have indicated an intimate relationship between thyroid hormones and kidney functions, reports about the simultaneous evaluation of TSH and fT4 are rare. Objective: We aimed to analyze the association between TSH and kidney function, with emphasis on a potential nonlinear relationship, and identify an independent relationship between fT4 and kidney function. Methods: We reviewed the data of 7,061 subjects in the Korea National Health and Nutrition Examination Surveys who were randomly subsampled for thyroid function evaluation between 2013 and 2015. A total of 5,578 subjects were included in the final analysis, after excluding people <18 years old, and those with a short fasting time, abnormal fT4 levels, and thyroid disease or related medications. Creatinine-based estimated glomerular filtration rate (eGFR) was used to define kidney function. Results: A 1 mmol/L increase of logarithmic TSH was associated with decreased eGFR (β: –1.8; 95% CI –2.3 to –1.2; p < 0.001), according to multivariate linear regression analysis. On the multivariate generalized additive model plot, TSH demonstrated an L-shaped relationship with eGFR, showing a steeper slope for 0–4 mIU/L of TSH. A 1 µg/dL increase of fT4 was also associated with decreased eGFR (β: –7.0; 95% CI –0.94 to –4.7; p < 0.001) on the multivariate linear regression analysis; this association was reversed after adjusting for age. On the mediation analysis, the indirect effect via age and direct effect per 1 µg/dL increase of fT4 on eGFR was 9.9 (8.1 to 11.7, p < 0.001) and –7.1 (–9.3 to –4.8, p < 0.001), respectively. Conclusions: Increased TSH was associated with decreased eGFR, particularly in the reference range. The direct effect of increased fT4 was decreased eGFR, which may be affected indirectly by age.

Effect of Stenosis Eccentricity in a Model of Bifurcated Coronary Artery

2014 ◽  
Vol 553 ◽  
pp. 332-337
Author(s):  
Babak Fakhim ◽  
Ashkan Javadzadegan ◽  
Rahman T. Nakkas ◽  
Masud Behnia
Keyword(s):  
Regression Analysis ◽  
Coronary Artery ◽  
Pressure Drop ◽  
Linear Regression ◽  
Left Coronary Artery ◽  
Linear Regression Analysis ◽  
Recirculation Flow ◽  
Structure Interaction ◽  
Recirculation Area ◽  
Flow Pressure

This study was to implement fluid structure interaction (FSI) method in order toinvestigate the effect of stenosis eccentricity on the recirculation flow, pressure drop and wall shearstress (WSS) in an atherosclerotic model of a left coronary artery with left anterior descending(LAD) and left circumflex (LCX) branches. The linear regression analysis results showed a positivecorrelation between WSS and stenosis eccentricity. The results also showed that the stenosiseccentricity plays a prominent role in determining the pressure drop and recirculation area, whilehaving relatively unnoticeable effects on WSS.

Risk results from screening for a high cardiovascular disease risk by means of traditional risk factor measurement or coronary artery calcium scoring in the ROBINSCA trial

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Van Der Aalst ◽  
S.J.A.M Denissen ◽  
M Vonder ◽  
J.-W.C Gratema ◽  
H.J Adriaansen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Coronary Artery ◽  
High Risk ◽  
Risk Score ◽  
Coronary Artery Calcium ◽  
Preventive Treatment ◽  
Low Risk ◽  
Funding Source ◽  
Cvd Risk ◽  
Increased Risk

Abstract Aims Screening for a high cardiovascular disease (CVD) risk followed by preventive treatment can potentially reduce coronary heart disease (CHD)-related morbidity and mortality. ROBINSCA (Risk Or Benefit IN Screening for CArdiovascular disease) is a population-based randomized controlled screening trial that investigates the effectiveness of CVD screening in asymptomatic participants using the Systematic COronary Risk Evaluation (SCORE) model or Coronary Artery Calcium (CAC) scoring. This study describes the distributions in risk and treatment in the ROBINSCA trial. Methods and results Individuals at expected elevated CVD risk were randomized (1:1:1) into the control arm (n=14,519; usual care); screening arm A (n=14,478; SCORE, 10-year fatal and non-fatal risk); or screening arm B (n=14,450; CAC scoring). Preventive treatment was largely advised according to current Dutch guidelines. Risk and treatment differences between the screening arms were analysed. 12,185 participants (84.2%) in arm A and 12,950 (89.6%) in arm B were screened. 48.7% were women, and median age was 62 (InterQuartile Range 10) years. SCORE screening identified 45.1% at low risk (SCORE&lt;10%), 26.5% at intermediate risk (SCORE 10–20%), and 28.4% at high risk (SCORE≥20%). According to CAC screening, 76.0% were at low risk (Agatston&lt;100), 15.1% at high risk (Agatston 100–399), and 8.9% at very high risk (Agatston≥400). CAC scoring significantly reduced the number of individuals indicated for preventive treatment compared to SCORE (relative reduction women: 37.2%; men: 28.8%). Conclusion We showed that compared to risk stratification based on SCORE, CAC scoring classified significantly fewer men and women at increased risk, and less preventive treatment was indicated. ROBINSCA flowchart Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): Advanced Research Grant

Relative contribution of various expressions of cAMP excretion to other indices of parathyroid function, as tested by discriminant multivariate linear regression analysis.

1986 ◽  
Vol 32 (7) ◽  
pp. 1279-1284 ◽  
Author(s):  
J Valsamis ◽  
J Van Peborgh ◽  
H Brauman
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Adenosine Monophosphate ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Amino Terminal ◽  
Relative Contribution ◽  
Parathyroid Function ◽  
Glomerular Filtrate

Abstract We evaluated the relative contribution to the diagnosis of hyperparathyroid disease from current laboratory indices of parathyroid function--plasma calcium (I), phosphate (II), carboxy-terminal (III) and predominantly amino-terminal (IV) radioimmunoassays of parathyrin, the urinary excretion ratios of cyclic adenosine monophosphate (cAMP) to creatinine (V) or to glomerular filtrate (VI), and the ratio of the nephrogenous fraction of cAMP to glomerular filtrate (VII)--in 224 subjects: 40 with surgically proven hyperparathyroid disease, the others normoparathyroid. The decreasing order of sensitivity was I greater than VI greater than VII greater than V greater than III greater than IV greater than II; all these indices differed significantly between normoparathyroid and hyperparathyroid patients. The decreasing order of specificity was VII, III greater than I greater than IV greater than V, II greater than VI. Discriminant multivariate linear regression analysis was performed in a subset of 58 subjects (17 hyper- and 41 normoparathyroid) from the population studied here, chosen because all of the laboratory indices were determined for each subject. The classification accuracy was 98.3% for combining I, VII, and III (r = 0.908), or I and V (r = 0.893), or I and VII (r = 0.889). The other variables did not add to the precision of classification.

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