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.

scholarly journals Association Between Bone Mineral Density And Serum Creatinine In People < 46 Years Old

2021 ◽  
Author(s):  
Yanru Guo ◽  
Xianyang Zhu
Keyword(s):  
Bone Mineral Density ◽  
Regression Analysis ◽  
Linear Regression ◽  
Serum Creatinine ◽  
Bone Mineral ◽  
Linear Regression Analysis ◽  
Lumbar Bone Mineral Density ◽  
Multivariate Linear Regression Analysis ◽  
Mineral Density ◽  
The Relationship

Abstract Purpose: To research the relationship between serum creatinine and lumbar bone mineral density in people aged <46 years. Methods: A total of 10,968 subjects from the American Nhanes database were included in this cross-sectional study, including 5,744 males (mean age 26.2 years) and 5224 females (mean age 26.7 years). The exposure factor is the serum creatinine value, and the outcome indicator is the lumbar bone mineral density. This study mainly used multivariate linear regression analysis to test the relationship between lumbar bone mineral density and serum creatinine. Results: In the multivariate linear regression analysis, serum creatinine was positively correlated with lumbar bone mineral density (β = 0.122, 95%CI: 0.047-0.198), but in the subgroup analysis stratified by sex, this positive correlation only exists in the female population (Β = 0.186, 95%CI: 0.070-0.301).Conclusions: Our study found that in women aged <46 years with normal renal function, there is a positive correlation between serum creatinine and lumbar BMD. And in those people, the determination of serum creatinine can provide a sensitive biomarker for the early identification and treatment of Osteopenia or osteoporosis.

scholarly journals Hydroxychloroquine/chloroquine in patients with COVID-19 in Wuhan, China: a retrospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhe Chen ◽  
Aihua Liu ◽  
Yongjing Cheng ◽  
Xutao Wang ◽  
Xiaomao Xu ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Clinical Laboratory ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Blurred Vision ◽  
Virus Shedding ◽  
Inpatient Ward ◽  
Independent Parameters

Abstract Background Since the COVID-19 pandemic, several therapeutic agents have been used in COVID-19 management. However, the results were controversial. Here, we aimed to evaluate the efficacy and safety of hydroxychloroquine (HCQ)/chloroquine (CQ) in COVID-19. Methods We retrospectively reviewed the medical charts of patients with COVID-19 admitted to an inpatient ward in Wuhan from 2020/Feb/08 to 2020/Mar/05. Patients with HCQ/CQ and age, gender, disease severity matched ones without HCQ/CQ were selected at a 1:2 ratio. The clinical, laboratory and imaging findings were compared between these two groups. The multivariate linear regression analysis was performed to identify the factors that might influence patients’ virus shedding periods (VSPs). Results A total of 14 patients with HCQ/CQ and 21 matched ones were analyzed. The HCQ/CQ treatment lasted for an average of 10.36 ± 3.12 days. The mean VSPs were longer in the HCQ/CQ treatment group (26.57 ± 10.35 days vs. 19.10 ± 7.80 days, P = 0.020). There were 3 patients deceased during inpatient period, two patients were with HCQ/CQ treatment (P = 0.551). In the multivariate linear regression analysis, disease durations at admission (t = 3.643, P = 0.001) and HCQ/CQ treatment (t = 2.637, P = 0.013) were independent parameters for patients’ VSPs. One patient with CQ had recurrent first-degree atrioventricular block (AVB) and obvious QTc elongation, another one complained about dizziness and blurred vision which disappeared after CQ discontinuation. One patient with HCQ had transient AVB. Conclusions In summary, we identify that the HCQ/CQ administration is not related to less mortality cases at later phase of COVID-19. More studies are needed to explore whether HCQ/CQ treatment would lead to SARS-Cov-2 RNA clearance delay or not.

scholarly journals Association of Trabecular Bone Score-Adjusted Fracture Risk Assessment Tool with Coronary Artery Calcification in Women

Diagnostics ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 178
Author(s):  
Tzyy-Ling Chuang ◽  
Yuh-Feng Wang ◽  
Malcolm Koo ◽  
Mei-Hua Chuang
Keyword(s):  
Risk Assessment ◽  
Coronary Artery ◽  
Linear Regression ◽  
Fracture Risk ◽  
Trabecular Bone ◽  
Coronary Artery Calcification ◽  
Assessment Tool ◽  
Trabecular Bone Score ◽  
Risk Assessment Tool ◽  
Fracture Risk Assessment Tool

The trabecular bone score (TBS) was found to be significantly associated with moderate coronary artery calcification (CAC). The aim of this study was to further explore the association between TBS-adjusted Fracture Risk Assessment Tool (FRAX) and CAC score in women. The electronic medical record database of a regional teaching hospital in southern Taiwan yielded women who received both coronary computed tomography and bone mineral density (BMD) measurement during their general health examination. Health history, anthropomorphic measurements, laboratory results, BMD, and T-scores were obtained. TBS values were calculated from database spine dual-energy X-ray absorptiometry files. Linear regression analyses tested the association between CAC score and 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF) determined by TBS-adjusted FRAX. Of the 116 women (mean age 55.8 years) studied, 24.1% had osteoporosis. Simple linear regression showed a significant association of CAC score with an increase in MOF and HF risk as measured by TBS-adjusted FRAX. In multiple linear regression adjusted for potential confounders, CAC score remained significantly associated with TBS-adjusted FRAX for right MOF (p = 0.002), left MOF (p = 0 006), right HF (p = 0.005), and left HF (p = 0.015). In conclusion, clinicians should be vigilant to the potential increased risk of coronary events among women with increased TBS-adjusted FRAX for MOF and HF.

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.

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 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.

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.

Sign in / Sign up

Export Citation Format

Share Document